NFL Capestone Preprocessing .ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "hide_input": false
   },
   "source": [
    "# Project Background"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What am I setting out to do with this project?\n",
    "\n",
    "The Nfl has slowly become a passing league with more yards being gained through the air then any other time in history. This has been because of increase in using more complicate passing defense. I wanted to take a look if we could cluster pass catchers together by their depth of targets and how much they were able to gain once securing the ball. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The Dataset\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset was scrapped from the website profootballrefrence with the aid of Ryurko R wrapper which makes simple to pull stats from the website. I used the play by play data of three seasons. \n",
    "\n",
    "\"\"\"The dataset contains 135946 plays and is accompanied with 256 columns. \"\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: nb_black in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (1.0.7)\n",
      "Requirement already satisfied: black>='19.3'; python_version >= \"3.6\" in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from nb_black) (19.10b0)\n",
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      "Requirement already satisfied: typed-ast>=1.4.0 in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from black>='19.3'; python_version >= \"3.6\"->nb_black) (1.4.1)\n",
      "Requirement already satisfied: attrs>=18.1.0 in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from black>='19.3'; python_version >= \"3.6\"->nb_black) (19.2.0)\n",
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      "Requirement already satisfied: regex in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from black>='19.3'; python_version >= \"3.6\"->nb_black) (2020.2.20)\n",
      "Requirement already satisfied: toml>=0.9.4 in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from black>='19.3'; python_version >= \"3.6\"->nb_black) (0.10.0)\n",
      "Requirement already satisfied: appdirs in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from black>='19.3'; python_version >= \"3.6\"->nb_black) (1.4.3)\n",
      "Requirement already satisfied: prompt-toolkit<2.1.0,>=2.0.0 in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from ipython->nb_black) (2.0.10)\n",
      "Requirement already satisfied: jedi>=0.10 in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from ipython->nb_black) (0.15.1)\n",
      "Requirement already satisfied: setuptools>=18.5 in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from ipython->nb_black) (41.4.0)\n",
      "Requirement already satisfied: traitlets>=4.2 in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from ipython->nb_black) (4.3.3)\n",
      "Requirement already satisfied: backcall in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from ipython->nb_black) (0.1.0)\n",
      "Requirement already satisfied: colorama; sys_platform == \"win32\" in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from ipython->nb_black) (0.4.1)\n",
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      "Requirement already satisfied: six>=1.9.0 in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from prompt-toolkit<2.1.0,>=2.0.0->ipython->nb_black) (1.12.0)\n",
      "Requirement already satisfied: wcwidth in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from prompt-toolkit<2.1.0,>=2.0.0->ipython->nb_black) (0.1.7)\n",
      "Requirement already satisfied: parso>=0.5.0 in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from jedi>=0.10->ipython->nb_black) (0.5.1)\n",
      "Requirement already satisfied: ipython-genutils in c:\\users\\kwasi\\anaconda3\\lib\\site-packages (from traitlets>=4.2->ipython->nb_black) (0.2.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install nb_black"
   ]
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  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 2;\n",
       "                var nbb_unformatted_code = \"%load_ext nb_black\";\n",
       "                var nbb_formatted_code = \"%load_ext nb_black\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
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       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
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   "source": [
    "%load_ext nb_black"
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  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 3;\n",
       "                var nbb_unformatted_code = \"import glob\\n\\n# Importing required libraries\\nimport pandas as pd\\nimport numpy as np\\n\\n\\n# Visualization\\nimport matplotlib.pyplot as plt\\n\\n%matplotlib inline\\nimport seaborn as sns\\n\\nimport plotly.express as px\\n\\n\\nfrom sklearn.preprocessing import StandardScaler\\nfrom sklearn.model_selection import train_test_split\\n\\n# Clustering\\nfrom sklearn.cluster import KMeans\\nfrom sklearn.cluster import DBSCAN\\n\\n# Dimension Reduction\\nfrom sklearn.decomposition import PCA\\nfrom sklearn.manifold import TSNE\\n\\n\\n# Set plot preference\\nplt.style.use(style=\\\"ggplot\\\")\";\n",
       "                var nbb_formatted_code = \"import glob\\n\\n# Importing required libraries\\nimport pandas as pd\\nimport numpy as np\\n\\n\\n# Visualization\\nimport matplotlib.pyplot as plt\\n\\n%matplotlib inline\\nimport seaborn as sns\\n\\nimport plotly.express as px\\n\\n\\nfrom sklearn.preprocessing import StandardScaler\\nfrom sklearn.model_selection import train_test_split\\n\\n# Clustering\\nfrom sklearn.cluster import KMeans\\nfrom sklearn.cluster import DBSCAN\\n\\n# Dimension Reduction\\nfrom sklearn.decomposition import PCA\\nfrom sklearn.manifold import TSNE\\n\\n\\n# Set plot preference\\nplt.style.use(style=\\\"ggplot\\\")\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
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       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import glob\n",
    "\n",
    "# Importing required libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "# Visualization\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "import plotly.express as px\n",
    "\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "\n",
    "# Dimension Reduction\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "\n",
    "# Set plot preference\n",
    "plt.style.use(style=\"ggplot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 4;\n",
       "                var nbb_unformatted_code = \"# files = glob.glob('*.csv')\";\n",
       "                var nbb_formatted_code = \"# files = glob.glob('*.csv')\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
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       "<IPython.core.display.Javascript object>"
      ]
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     "metadata": {},
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   ],
   "source": [
    "# files = glob.glob('*.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 5;\n",
       "                var nbb_unformatted_code = \"# dfs = []\\n# for file in files:\\n#     df = pd.read_csv(file)\\n#     dfs.append(df)\";\n",
       "                var nbb_formatted_code = \"# dfs = []\\n# for file in files:\\n#     df = pd.read_csv(file)\\n#     dfs.append(df)\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
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     "metadata": {},
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   ],
   "source": [
    "# dfs = []\n",
    "# for file in files:\n",
    "#     df = pd.read_csv(file)\n",
    "#     dfs.append(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Kwasi\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3058: DtypeWarning:\n",
      "\n",
      "Columns (167,168,169,170,175,176,179,180,183,184,189,190,191,192,195,196,204,205,206,219,220,221,222,223,224,227,228,232,233,234,239,241,242) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This dataset is 45546\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>play_id</th>\n",
       "      <th>game_id</th>\n",
       "      <th>home_team</th>\n",
       "      <th>away_team</th>\n",
       "      <th>posteam</th>\n",
       "      <th>posteam_type</th>\n",
       "      <th>defteam</th>\n",
       "      <th>side_of_field</th>\n",
       "      <th>yardline_100</th>\n",
       "      <th>game_date</th>\n",
       "      <th>quarter_seconds_remaining</th>\n",
       "      <th>half_seconds_remaining</th>\n",
       "      <th>game_seconds_remaining</th>\n",
       "      <th>game_half</th>\n",
       "      <th>quarter_end</th>\n",
       "      <th>drive</th>\n",
       "      <th>sp</th>\n",
       "      <th>qtr</th>\n",
       "      <th>down</th>\n",
       "      <th>goal_to_go</th>\n",
       "      <th>time</th>\n",
       "      <th>yrdln</th>\n",
       "      <th>ydstogo</th>\n",
       "      <th>ydsnet</th>\n",
       "      <th>desc</th>\n",
       "      <th>play_type</th>\n",
       "      <th>yards_gained</th>\n",
       "      <th>shotgun</th>\n",
       "      <th>no_huddle</th>\n",
       "      <th>qb_dropback</th>\n",
       "      <th>qb_kneel</th>\n",
       "      <th>qb_spike</th>\n",
       "      <th>qb_scramble</th>\n",
       "      <th>pass_length</th>\n",
       "      <th>pass_location</th>\n",
       "      <th>air_yards</th>\n",
       "      <th>yards_after_catch</th>\n",
       "      <th>run_location</th>\n",
       "      <th>run_gap</th>\n",
       "      <th>field_goal_result</th>\n",
       "      <th>kick_distance</th>\n",
       "      <th>extra_point_result</th>\n",
       "      <th>two_point_conv_result</th>\n",
       "      <th>home_timeouts_remaining</th>\n",
       "      <th>away_timeouts_remaining</th>\n",
       "      <th>timeout</th>\n",
       "      <th>timeout_team</th>\n",
       "      <th>td_team</th>\n",
       "      <th>posteam_timeouts_remaining</th>\n",
       "      <th>defteam_timeouts_remaining</th>\n",
       "      <th>total_home_score</th>\n",
       "      <th>total_away_score</th>\n",
       "      <th>posteam_score</th>\n",
       "      <th>defteam_score</th>\n",
       "      <th>score_differential</th>\n",
       "      <th>posteam_score_post</th>\n",
       "      <th>defteam_score_post</th>\n",
       "      <th>score_differential_post</th>\n",
       "      <th>no_score_prob</th>\n",
       "      <th>opp_fg_prob</th>\n",
       "      <th>opp_safety_prob</th>\n",
       "      <th>opp_td_prob</th>\n",
       "      <th>fg_prob</th>\n",
       "      <th>safety_prob</th>\n",
       "      <th>td_prob</th>\n",
       "      <th>extra_point_prob</th>\n",
       "      <th>two_point_conversion_prob</th>\n",
       "      <th>ep</th>\n",
       "      <th>epa</th>\n",
       "      <th>total_home_epa</th>\n",
       "      <th>total_away_epa</th>\n",
       "      <th>total_home_rush_epa</th>\n",
       "      <th>total_away_rush_epa</th>\n",
       "      <th>total_home_pass_epa</th>\n",
       "      <th>total_away_pass_epa</th>\n",
       "      <th>air_epa</th>\n",
       "      <th>yac_epa</th>\n",
       "      <th>comp_air_epa</th>\n",
       "      <th>comp_yac_epa</th>\n",
       "      <th>total_home_comp_air_epa</th>\n",
       "      <th>total_away_comp_air_epa</th>\n",
       "      <th>total_home_comp_yac_epa</th>\n",
       "      <th>total_away_comp_yac_epa</th>\n",
       "      <th>total_home_raw_air_epa</th>\n",
       "      <th>total_away_raw_air_epa</th>\n",
       "      <th>total_home_raw_yac_epa</th>\n",
       "      <th>total_away_raw_yac_epa</th>\n",
       "      <th>wp</th>\n",
       "      <th>def_wp</th>\n",
       "      <th>home_wp</th>\n",
       "      <th>away_wp</th>\n",
       "      <th>wpa</th>\n",
       "      <th>home_wp_post</th>\n",
       "      <th>away_wp_post</th>\n",
       "      <th>total_home_rush_wpa</th>\n",
       "      <th>total_away_rush_wpa</th>\n",
       "      <th>total_home_pass_wpa</th>\n",
       "      <th>total_away_pass_wpa</th>\n",
       "      <th>air_wpa</th>\n",
       "      <th>yac_wpa</th>\n",
       "      <th>comp_air_wpa</th>\n",
       "      <th>comp_yac_wpa</th>\n",
       "      <th>total_home_comp_air_wpa</th>\n",
       "      <th>total_away_comp_air_wpa</th>\n",
       "      <th>total_home_comp_yac_wpa</th>\n",
       "      <th>total_away_comp_yac_wpa</th>\n",
       "      <th>total_home_raw_air_wpa</th>\n",
       "      <th>total_away_raw_air_wpa</th>\n",
       "      <th>total_home_raw_yac_wpa</th>\n",
       "      <th>total_away_raw_yac_wpa</th>\n",
       "      <th>punt_blocked</th>\n",
       "      <th>first_down_rush</th>\n",
       "      <th>first_down_pass</th>\n",
       "      <th>first_down_penalty</th>\n",
       "      <th>third_down_converted</th>\n",
       "      <th>third_down_failed</th>\n",
       "      <th>fourth_down_converted</th>\n",
       "      <th>fourth_down_failed</th>\n",
       "      <th>incomplete_pass</th>\n",
       "      <th>touchback</th>\n",
       "      <th>interception</th>\n",
       "      <th>punt_inside_twenty</th>\n",
       "      <th>punt_in_endzone</th>\n",
       "      <th>punt_out_of_bounds</th>\n",
       "      <th>punt_downed</th>\n",
       "      <th>punt_fair_catch</th>\n",
       "      <th>kickoff_inside_twenty</th>\n",
       "      <th>kickoff_in_endzone</th>\n",
       "      <th>kickoff_out_of_bounds</th>\n",
       "      <th>kickoff_downed</th>\n",
       "      <th>kickoff_fair_catch</th>\n",
       "      <th>fumble_forced</th>\n",
       "      <th>fumble_not_forced</th>\n",
       "      <th>fumble_out_of_bounds</th>\n",
       "      <th>solo_tackle</th>\n",
       "      <th>safety</th>\n",
       "      <th>penalty</th>\n",
       "      <th>tackled_for_loss</th>\n",
       "      <th>fumble_lost</th>\n",
       "      <th>own_kickoff_recovery</th>\n",
       "      <th>own_kickoff_recovery_td</th>\n",
       "      <th>qb_hit</th>\n",
       "      <th>rush_attempt</th>\n",
       "      <th>pass_attempt</th>\n",
       "      <th>sack</th>\n",
       "      <th>touchdown</th>\n",
       "      <th>pass_touchdown</th>\n",
       "      <th>rush_touchdown</th>\n",
       "      <th>return_touchdown</th>\n",
       "      <th>extra_point_attempt</th>\n",
       "      <th>two_point_attempt</th>\n",
       "      <th>field_goal_attempt</th>\n",
       "      <th>kickoff_attempt</th>\n",
       "      <th>punt_attempt</th>\n",
       "      <th>fumble</th>\n",
       "      <th>complete_pass</th>\n",
       "      <th>assist_tackle</th>\n",
       "      <th>lateral_reception</th>\n",
       "      <th>lateral_rush</th>\n",
       "      <th>lateral_return</th>\n",
       "      <th>lateral_recovery</th>\n",
       "      <th>passer_player_id</th>\n",
       "      <th>passer_player_name</th>\n",
       "      <th>receiver_player_id</th>\n",
       "      <th>receiver_player_name</th>\n",
       "      <th>rusher_player_id</th>\n",
       "      <th>rusher_player_name</th>\n",
       "      <th>lateral_receiver_player_id</th>\n",
       "      <th>lateral_receiver_player_name</th>\n",
       "      <th>lateral_rusher_player_id</th>\n",
       "      <th>lateral_rusher_player_name</th>\n",
       "      <th>lateral_sack_player_id</th>\n",
       "      <th>lateral_sack_player_name</th>\n",
       "      <th>interception_player_id</th>\n",
       "      <th>interception_player_name</th>\n",
       "      <th>lateral_interception_player_id</th>\n",
       "      <th>lateral_interception_player_name</th>\n",
       "      <th>punt_returner_player_id</th>\n",
       "      <th>punt_returner_player_name</th>\n",
       "      <th>lateral_punt_returner_player_id</th>\n",
       "      <th>lateral_punt_returner_player_name</th>\n",
       "      <th>kickoff_returner_player_name</th>\n",
       "      <th>kickoff_returner_player_id</th>\n",
       "      <th>lateral_kickoff_returner_player_id</th>\n",
       "      <th>lateral_kickoff_returner_player_name</th>\n",
       "      <th>punter_player_id</th>\n",
       "      <th>punter_player_name</th>\n",
       "      <th>kicker_player_name</th>\n",
       "      <th>kicker_player_id</th>\n",
       "      <th>own_kickoff_recovery_player_id</th>\n",
       "      <th>own_kickoff_recovery_player_name</th>\n",
       "      <th>blocked_player_id</th>\n",
       "      <th>blocked_player_name</th>\n",
       "      <th>tackle_for_loss_1_player_id</th>\n",
       "      <th>tackle_for_loss_1_player_name</th>\n",
       "      <th>tackle_for_loss_2_player_id</th>\n",
       "      <th>tackle_for_loss_2_player_name</th>\n",
       "      <th>qb_hit_1_player_id</th>\n",
       "      <th>qb_hit_1_player_name</th>\n",
       "      <th>qb_hit_2_player_id</th>\n",
       "      <th>qb_hit_2_player_name</th>\n",
       "      <th>forced_fumble_player_1_team</th>\n",
       "      <th>forced_fumble_player_1_player_id</th>\n",
       "      <th>forced_fumble_player_1_player_name</th>\n",
       "      <th>forced_fumble_player_2_team</th>\n",
       "      <th>forced_fumble_player_2_player_id</th>\n",
       "      <th>forced_fumble_player_2_player_name</th>\n",
       "      <th>solo_tackle_1_team</th>\n",
       "      <th>solo_tackle_2_team</th>\n",
       "      <th>solo_tackle_1_player_id</th>\n",
       "      <th>solo_tackle_2_player_id</th>\n",
       "      <th>solo_tackle_1_player_name</th>\n",
       "      <th>solo_tackle_2_player_name</th>\n",
       "      <th>assist_tackle_1_player_id</th>\n",
       "      <th>assist_tackle_1_player_name</th>\n",
       "      <th>assist_tackle_1_team</th>\n",
       "      <th>assist_tackle_2_player_id</th>\n",
       "      <th>assist_tackle_2_player_name</th>\n",
       "      <th>assist_tackle_2_team</th>\n",
       "      <th>assist_tackle_3_player_id</th>\n",
       "      <th>assist_tackle_3_player_name</th>\n",
       "      <th>assist_tackle_3_team</th>\n",
       "      <th>assist_tackle_4_player_id</th>\n",
       "      <th>assist_tackle_4_player_name</th>\n",
       "      <th>assist_tackle_4_team</th>\n",
       "      <th>pass_defense_1_player_id</th>\n",
       "      <th>pass_defense_1_player_name</th>\n",
       "      <th>pass_defense_2_player_id</th>\n",
       "      <th>pass_defense_2_player_name</th>\n",
       "      <th>fumbled_1_team</th>\n",
       "      <th>fumbled_1_player_id</th>\n",
       "      <th>fumbled_1_player_name</th>\n",
       "      <th>fumbled_2_player_id</th>\n",
       "      <th>fumbled_2_player_name</th>\n",
       "      <th>fumbled_2_team</th>\n",
       "      <th>fumble_recovery_1_team</th>\n",
       "      <th>fumble_recovery_1_yards</th>\n",
       "      <th>fumble_recovery_1_player_id</th>\n",
       "      <th>fumble_recovery_1_player_name</th>\n",
       "      <th>fumble_recovery_2_team</th>\n",
       "      <th>fumble_recovery_2_yards</th>\n",
       "      <th>fumble_recovery_2_player_id</th>\n",
       "      <th>fumble_recovery_2_player_name</th>\n",
       "      <th>return_team</th>\n",
       "      <th>return_yards</th>\n",
       "      <th>penalty_team</th>\n",
       "      <th>penalty_player_id</th>\n",
       "      <th>penalty_player_name</th>\n",
       "      <th>penalty_yards</th>\n",
       "      <th>replay_or_challenge</th>\n",
       "      <th>replay_or_challenge_result</th>\n",
       "      <th>penalty_type</th>\n",
       "      <th>defensive_two_point_attempt</th>\n",
       "      <th>defensive_two_point_conv</th>\n",
       "      <th>defensive_extra_point_attempt</th>\n",
       "      <th>defensive_extra_point_conv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>CHI</td>\n",
       "      <td>35.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>900.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15:00</td>\n",
       "      <td>CHI 35</td>\n",
       "      <td>0</td>\n",
       "      <td>-10</td>\n",
       "      <td>E.Pineiro kicks 65 yards from CHI 35 to end zo...</td>\n",
       "      <td>kickoff</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001374</td>\n",
       "      <td>0.162632</td>\n",
       "      <td>0.004441</td>\n",
       "      <td>0.254179</td>\n",
       "      <td>0.233081</td>\n",
       "      <td>0.003656</td>\n",
       "      <td>0.340639</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.814998</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E.Pineiro</td>\n",
       "      <td>00-0034173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>900.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15:00</td>\n",
       "      <td>GB 25</td>\n",
       "      <td>10</td>\n",
       "      <td>-10</td>\n",
       "      <td>(15:00) A.Jones left tackle to GB 25 for no ga...</td>\n",
       "      <td>run</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left</td>\n",
       "      <td>tackle</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001374</td>\n",
       "      <td>0.162632</td>\n",
       "      <td>0.004441</td>\n",
       "      <td>0.254179</td>\n",
       "      <td>0.233081</td>\n",
       "      <td>0.003656</td>\n",
       "      <td>0.340639</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.814998</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500007</td>\n",
       "      <td>0.499993</td>\n",
       "      <td>0.499993</td>\n",
       "      <td>0.500007</td>\n",
       "      <td>-0.020660</td>\n",
       "      <td>0.520654</td>\n",
       "      <td>0.479346</td>\n",
       "      <td>0.02066</td>\n",
       "      <td>-0.02066</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0033293</td>\n",
       "      <td>A.Jones</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CHI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0034874</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R.Smith</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>71</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>873.0</td>\n",
       "      <td>1773.0</td>\n",
       "      <td>3573.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14:33</td>\n",
       "      <td>GB 25</td>\n",
       "      <td>10</td>\n",
       "      <td>-10</td>\n",
       "      <td>(14:33) A.Rodgers pass short left to A.Jones t...</td>\n",
       "      <td>pass</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>short</td>\n",
       "      <td>left</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001569</td>\n",
       "      <td>0.188484</td>\n",
       "      <td>0.005696</td>\n",
       "      <td>0.295010</td>\n",
       "      <td>0.213057</td>\n",
       "      <td>0.003982</td>\n",
       "      <td>0.292202</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.050636</td>\n",
       "      <td>-0.987734</td>\n",
       "      <td>1.752097</td>\n",
       "      <td>-1.752097</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>0.987734</td>\n",
       "      <td>-0.987734</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>0.479346</td>\n",
       "      <td>0.520654</td>\n",
       "      <td>0.520654</td>\n",
       "      <td>0.479346</td>\n",
       "      <td>-0.026088</td>\n",
       "      <td>0.546742</td>\n",
       "      <td>0.453258</td>\n",
       "      <td>0.02066</td>\n",
       "      <td>-0.02066</td>\n",
       "      <td>0.026088</td>\n",
       "      <td>-0.026088</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00-0023459</td>\n",
       "      <td>A.Rodgers</td>\n",
       "      <td>00-0033293</td>\n",
       "      <td>A.Jones</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CHI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0034874</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R.Smith</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>95</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>825.0</td>\n",
       "      <td>1725.0</td>\n",
       "      <td>3525.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13:45</td>\n",
       "      <td>GB 25</td>\n",
       "      <td>10</td>\n",
       "      <td>-10</td>\n",
       "      <td>(13:45) (Shotgun) A.Rodgers sacked at GB 15 fo...</td>\n",
       "      <td>pass</td>\n",
       "      <td>-10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001863</td>\n",
       "      <td>0.226273</td>\n",
       "      <td>0.006642</td>\n",
       "      <td>0.349574</td>\n",
       "      <td>0.171216</td>\n",
       "      <td>0.004530</td>\n",
       "      <td>0.239902</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.937099</td>\n",
       "      <td>-2.221273</td>\n",
       "      <td>3.973370</td>\n",
       "      <td>-3.973370</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>3.209007</td>\n",
       "      <td>-3.209007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>0.453258</td>\n",
       "      <td>0.546742</td>\n",
       "      <td>0.546742</td>\n",
       "      <td>0.453258</td>\n",
       "      <td>-0.066931</td>\n",
       "      <td>0.613673</td>\n",
       "      <td>0.386327</td>\n",
       "      <td>0.02066</td>\n",
       "      <td>-0.02066</td>\n",
       "      <td>0.093020</td>\n",
       "      <td>-0.093020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00-0023459</td>\n",
       "      <td>A.Rodgers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0032667</td>\n",
       "      <td>R.Robertson-Harris</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0032667</td>\n",
       "      <td>R.Robertson-Harris</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CHI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0032667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R.Robertson-Harris</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>125</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>795.0</td>\n",
       "      <td>1695.0</td>\n",
       "      <td>3495.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13:15</td>\n",
       "      <td>GB 15</td>\n",
       "      <td>20</td>\n",
       "      <td>-10</td>\n",
       "      <td>(13:15) (Punt formation) J.Scott punts 53 yard...</td>\n",
       "      <td>punt</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.002114</td>\n",
       "      <td>0.327285</td>\n",
       "      <td>0.010957</td>\n",
       "      <td>0.466627</td>\n",
       "      <td>0.054465</td>\n",
       "      <td>0.004293</td>\n",
       "      <td>0.134258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.158372</td>\n",
       "      <td>0.714739</td>\n",
       "      <td>3.258631</td>\n",
       "      <td>-3.258631</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>3.209007</td>\n",
       "      <td>-3.209007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>0.386327</td>\n",
       "      <td>0.613673</td>\n",
       "      <td>0.613673</td>\n",
       "      <td>0.386327</td>\n",
       "      <td>0.057563</td>\n",
       "      <td>0.556110</td>\n",
       "      <td>0.443890</td>\n",
       "      <td>0.02066</td>\n",
       "      <td>-0.02066</td>\n",
       "      <td>0.093020</td>\n",
       "      <td>-0.093020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0033556</td>\n",
       "      <td>T.Cohen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0034162</td>\n",
       "      <td>J.Scott</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0031584</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A.Amos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CHI</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   play_id     game_id home_team away_team posteam posteam_type defteam  \\\n",
       "0       35  2019090500       CHI        GB      GB         away     CHI   \n",
       "1       50  2019090500       CHI        GB      GB         away     CHI   \n",
       "2       71  2019090500       CHI        GB      GB         away     CHI   \n",
       "3       95  2019090500       CHI        GB      GB         away     CHI   \n",
       "4      125  2019090500       CHI        GB      GB         away     CHI   \n",
       "\n",
       "  side_of_field  yardline_100   game_date  quarter_seconds_remaining  \\\n",
       "0           CHI          35.0  2019-09-05                      900.0   \n",
       "1            GB          75.0  2019-09-05                      900.0   \n",
       "2            GB          75.0  2019-09-05                      873.0   \n",
       "3            GB          75.0  2019-09-05                      825.0   \n",
       "4            GB          85.0  2019-09-05                      795.0   \n",
       "\n",
       "   half_seconds_remaining  game_seconds_remaining game_half  quarter_end  \\\n",
       "0                  1800.0                  3600.0     Half1            0   \n",
       "1                  1800.0                  3600.0     Half1            0   \n",
       "2                  1773.0                  3573.0     Half1            0   \n",
       "3                  1725.0                  3525.0     Half1            0   \n",
       "4                  1695.0                  3495.0     Half1            0   \n",
       "\n",
       "   drive  sp  qtr  down  goal_to_go   time   yrdln  ydstogo  ydsnet  \\\n",
       "0      1   0    1   NaN         0.0  15:00  CHI 35        0     -10   \n",
       "1      1   0    1   1.0         0.0  15:00   GB 25       10     -10   \n",
       "2      1   0    1   2.0         0.0  14:33   GB 25       10     -10   \n",
       "3      1   0    1   3.0         0.0  13:45   GB 25       10     -10   \n",
       "4      1   0    1   4.0         0.0  13:15   GB 15       20     -10   \n",
       "\n",
       "                                                desc play_type  yards_gained  \\\n",
       "0  E.Pineiro kicks 65 yards from CHI 35 to end zo...   kickoff             0   \n",
       "1  (15:00) A.Jones left tackle to GB 25 for no ga...       run             0   \n",
       "2  (14:33) A.Rodgers pass short left to A.Jones t...      pass             0   \n",
       "3  (13:45) (Shotgun) A.Rodgers sacked at GB 15 fo...      pass           -10   \n",
       "4  (13:15) (Punt formation) J.Scott punts 53 yard...      punt             0   \n",
       "\n",
       "   shotgun  no_huddle  qb_dropback  qb_kneel  qb_spike  qb_scramble  \\\n",
       "0        0          0          0.0         0         0            0   \n",
       "1        0          0          0.0         0         0            0   \n",
       "2        0          0          1.0         0         0            0   \n",
       "3        1          0          1.0         0         0            0   \n",
       "4        0          0          0.0         0         0            0   \n",
       "\n",
       "  pass_length pass_location  air_yards  yards_after_catch run_location  \\\n",
       "0         NaN           NaN        NaN                NaN          NaN   \n",
       "1         NaN           NaN        NaN                NaN         left   \n",
       "2       short          left       -1.0                1.0          NaN   \n",
       "3         NaN           NaN        NaN                NaN          NaN   \n",
       "4         NaN           NaN        NaN                NaN          NaN   \n",
       "\n",
       "  run_gap field_goal_result  kick_distance extra_point_result  \\\n",
       "0     NaN               NaN            NaN                NaN   \n",
       "1  tackle               NaN            NaN                NaN   \n",
       "2     NaN               NaN            NaN                NaN   \n",
       "3     NaN               NaN            NaN                NaN   \n",
       "4     NaN               NaN           53.0                NaN   \n",
       "\n",
       "  two_point_conv_result  home_timeouts_remaining  away_timeouts_remaining  \\\n",
       "0                   NaN                        3                        3   \n",
       "1                   NaN                        3                        3   \n",
       "2                   NaN                        3                        3   \n",
       "3                   NaN                        3                        3   \n",
       "4                   NaN                        3                        3   \n",
       "\n",
       "   timeout timeout_team td_team  posteam_timeouts_remaining  \\\n",
       "0      0.0          NaN     NaN                         3.0   \n",
       "1      0.0          NaN     NaN                         3.0   \n",
       "2      0.0          NaN     NaN                         3.0   \n",
       "3      0.0          NaN     NaN                         3.0   \n",
       "4      0.0          NaN     NaN                         3.0   \n",
       "\n",
       "   defteam_timeouts_remaining  total_home_score  total_away_score  \\\n",
       "0                         3.0                 0                 0   \n",
       "1                         3.0                 0                 0   \n",
       "2                         3.0                 0                 0   \n",
       "3                         3.0                 0                 0   \n",
       "4                         3.0                 0                 0   \n",
       "\n",
       "   posteam_score  defteam_score  score_differential  posteam_score_post  \\\n",
       "0            NaN            NaN                 NaN                 0.0   \n",
       "1            0.0            0.0                 0.0                 0.0   \n",
       "2            0.0            0.0                 0.0                 0.0   \n",
       "3            0.0            0.0                 0.0                 0.0   \n",
       "4            0.0            0.0                 0.0                 0.0   \n",
       "\n",
       "   defteam_score_post  score_differential_post  no_score_prob  opp_fg_prob  \\\n",
       "0                 0.0                      0.0       0.001374     0.162632   \n",
       "1                 0.0                      0.0       0.001374     0.162632   \n",
       "2                 0.0                      0.0       0.001569     0.188484   \n",
       "3                 0.0                      0.0       0.001863     0.226273   \n",
       "4                 0.0                      0.0       0.002114     0.327285   \n",
       "\n",
       "   opp_safety_prob  opp_td_prob   fg_prob  safety_prob   td_prob  \\\n",
       "0         0.004441     0.254179  0.233081     0.003656  0.340639   \n",
       "1         0.004441     0.254179  0.233081     0.003656  0.340639   \n",
       "2         0.005696     0.295010  0.213057     0.003982  0.292202   \n",
       "3         0.006642     0.349574  0.171216     0.004530  0.239902   \n",
       "4         0.010957     0.466627  0.054465     0.004293  0.134258   \n",
       "\n",
       "   extra_point_prob  two_point_conversion_prob        ep       epa  \\\n",
       "0               0.0                        0.0  0.814998  0.000000   \n",
       "1               0.0                        0.0  0.814998 -0.764363   \n",
       "2               0.0                        0.0  0.050636 -0.987734   \n",
       "3               0.0                        0.0 -0.937099 -2.221273   \n",
       "4               0.0                        0.0 -3.158372  0.714739   \n",
       "\n",
       "   total_home_epa  total_away_epa  total_home_rush_epa  total_away_rush_epa  \\\n",
       "0        0.000000        0.000000             0.000000             0.000000   \n",
       "1        0.764363       -0.764363             0.764363            -0.764363   \n",
       "2        1.752097       -1.752097             0.764363            -0.764363   \n",
       "3        3.973370       -3.973370             0.764363            -0.764363   \n",
       "4        3.258631       -3.258631             0.764363            -0.764363   \n",
       "\n",
       "   total_home_pass_epa  total_away_pass_epa   air_epa   yac_epa  comp_air_epa  \\\n",
       "0             0.000000             0.000000       NaN       NaN      0.000000   \n",
       "1             0.000000             0.000000       NaN       NaN      0.000000   \n",
       "2             0.987734            -0.987734 -1.095212  0.107477     -1.095212   \n",
       "3             3.209007            -3.209007       NaN       NaN      0.000000   \n",
       "4             3.209007            -3.209007       NaN       NaN      0.000000   \n",
       "\n",
       "   comp_yac_epa  total_home_comp_air_epa  total_away_comp_air_epa  \\\n",
       "0      0.000000                 0.000000                 0.000000   \n",
       "1      0.000000                 0.000000                 0.000000   \n",
       "2      0.107477                 1.095212                -1.095212   \n",
       "3      0.000000                 1.095212                -1.095212   \n",
       "4      0.000000                 1.095212                -1.095212   \n",
       "\n",
       "   total_home_comp_yac_epa  total_away_comp_yac_epa  total_home_raw_air_epa  \\\n",
       "0                 0.000000                 0.000000                0.000000   \n",
       "1                 0.000000                 0.000000                0.000000   \n",
       "2                -0.107477                 0.107477                1.095212   \n",
       "3                -0.107477                 0.107477                1.095212   \n",
       "4                -0.107477                 0.107477                1.095212   \n",
       "\n",
       "   total_away_raw_air_epa  total_home_raw_yac_epa  total_away_raw_yac_epa  \\\n",
       "0                0.000000                0.000000                0.000000   \n",
       "1                0.000000                0.000000                0.000000   \n",
       "2               -1.095212               -0.107477                0.107477   \n",
       "3               -1.095212               -0.107477                0.107477   \n",
       "4               -1.095212               -0.107477                0.107477   \n",
       "\n",
       "         wp    def_wp   home_wp   away_wp       wpa  home_wp_post  \\\n",
       "0       NaN       NaN       NaN       NaN       NaN           NaN   \n",
       "1  0.500007  0.499993  0.499993  0.500007 -0.020660      0.520654   \n",
       "2  0.479346  0.520654  0.520654  0.479346 -0.026088      0.546742   \n",
       "3  0.453258  0.546742  0.546742  0.453258 -0.066931      0.613673   \n",
       "4  0.386327  0.613673  0.613673  0.386327  0.057563      0.556110   \n",
       "\n",
       "   away_wp_post  total_home_rush_wpa  total_away_rush_wpa  \\\n",
       "0           NaN              0.00000              0.00000   \n",
       "1      0.479346              0.02066             -0.02066   \n",
       "2      0.453258              0.02066             -0.02066   \n",
       "3      0.386327              0.02066             -0.02066   \n",
       "4      0.443890              0.02066             -0.02066   \n",
       "\n",
       "   total_home_pass_wpa  total_away_pass_wpa   air_wpa   yac_wpa  comp_air_wpa  \\\n",
       "0             0.000000             0.000000       NaN       NaN      0.000000   \n",
       "1             0.000000             0.000000       NaN       NaN      0.000000   \n",
       "2             0.026088            -0.026088 -0.031647  0.005559     -0.031647   \n",
       "3             0.093020            -0.093020       NaN       NaN      0.000000   \n",
       "4             0.093020            -0.093020       NaN       NaN      0.000000   \n",
       "\n",
       "   comp_yac_wpa  total_home_comp_air_wpa  total_away_comp_air_wpa  \\\n",
       "0      0.000000                 0.000000                 0.000000   \n",
       "1      0.000000                 0.000000                 0.000000   \n",
       "2      0.005559                 0.031647                -0.031647   \n",
       "3      0.000000                 0.031647                -0.031647   \n",
       "4      0.000000                 0.031647                -0.031647   \n",
       "\n",
       "   total_home_comp_yac_wpa  total_away_comp_yac_wpa  total_home_raw_air_wpa  \\\n",
       "0                 0.000000                 0.000000                0.000000   \n",
       "1                 0.000000                 0.000000                0.000000   \n",
       "2                -0.005559                 0.005559                0.031647   \n",
       "3                -0.005559                 0.005559                0.031647   \n",
       "4                -0.005559                 0.005559                0.031647   \n",
       "\n",
       "   total_away_raw_air_wpa  total_home_raw_yac_wpa  total_away_raw_yac_wpa  \\\n",
       "0                0.000000                0.000000                0.000000   \n",
       "1                0.000000                0.000000                0.000000   \n",
       "2               -0.031647               -0.005559                0.005559   \n",
       "3               -0.031647               -0.005559                0.005559   \n",
       "4               -0.031647               -0.005559                0.005559   \n",
       "\n",
       "   punt_blocked  first_down_rush  first_down_pass  first_down_penalty  \\\n",
       "0           0.0              0.0              0.0                 0.0   \n",
       "1           0.0              0.0              0.0                 0.0   \n",
       "2           0.0              0.0              0.0                 0.0   \n",
       "3           0.0              0.0              0.0                 0.0   \n",
       "4           0.0              0.0              0.0                 0.0   \n",
       "\n",
       "   third_down_converted  third_down_failed  fourth_down_converted  \\\n",
       "0                   0.0                0.0                    0.0   \n",
       "1                   0.0                0.0                    0.0   \n",
       "2                   0.0                0.0                    0.0   \n",
       "3                   0.0                1.0                    0.0   \n",
       "4                   0.0                0.0                    0.0   \n",
       "\n",
       "   fourth_down_failed  incomplete_pass  touchback  interception  \\\n",
       "0                 0.0              0.0          1           0.0   \n",
       "1                 0.0              0.0          0           0.0   \n",
       "2                 0.0              0.0          0           0.0   \n",
       "3                 0.0              0.0          0           0.0   \n",
       "4                 0.0              0.0          0           0.0   \n",
       "\n",
       "   punt_inside_twenty  punt_in_endzone  punt_out_of_bounds  punt_downed  \\\n",
       "0                 0.0              0.0                 0.0          0.0   \n",
       "1                 0.0              0.0                 0.0          0.0   \n",
       "2                 0.0              0.0                 0.0          0.0   \n",
       "3                 0.0              0.0                 0.0          0.0   \n",
       "4                 0.0              0.0                 0.0          0.0   \n",
       "\n",
       "   punt_fair_catch  kickoff_inside_twenty  kickoff_in_endzone  \\\n",
       "0              0.0                    0.0                 0.0   \n",
       "1              0.0                    0.0                 0.0   \n",
       "2              0.0                    0.0                 0.0   \n",
       "3              0.0                    0.0                 0.0   \n",
       "4              0.0                    0.0                 0.0   \n",
       "\n",
       "   kickoff_out_of_bounds  kickoff_downed  kickoff_fair_catch  fumble_forced  \\\n",
       "0                    0.0             0.0                 0.0            0.0   \n",
       "1                    0.0             0.0                 0.0            0.0   \n",
       "2                    0.0             0.0                 0.0            0.0   \n",
       "3                    0.0             0.0                 0.0            0.0   \n",
       "4                    0.0             0.0                 0.0            0.0   \n",
       "\n",
       "   fumble_not_forced  fumble_out_of_bounds  solo_tackle  safety  penalty  \\\n",
       "0                0.0                   0.0          0.0     0.0      0.0   \n",
       "1                0.0                   0.0          1.0     0.0      0.0   \n",
       "2                0.0                   0.0          1.0     0.0      0.0   \n",
       "3                0.0                   0.0          1.0     0.0      0.0   \n",
       "4                0.0                   0.0          1.0     0.0      0.0   \n",
       "\n",
       "   tackled_for_loss  fumble_lost  own_kickoff_recovery  \\\n",
       "0               0.0          0.0                   0.0   \n",
       "1               0.0          0.0                   0.0   \n",
       "2               0.0          0.0                   0.0   \n",
       "3               0.0          0.0                   0.0   \n",
       "4               0.0          0.0                   0.0   \n",
       "\n",
       "   own_kickoff_recovery_td  qb_hit  rush_attempt  pass_attempt  sack  \\\n",
       "0                      0.0     0.0           0.0           0.0   0.0   \n",
       "1                      0.0     0.0           1.0           0.0   0.0   \n",
       "2                      0.0     0.0           0.0           1.0   0.0   \n",
       "3                      0.0     1.0           0.0           1.0   1.0   \n",
       "4                      0.0     0.0           0.0           0.0   0.0   \n",
       "\n",
       "   touchdown  pass_touchdown  rush_touchdown  return_touchdown  \\\n",
       "0        0.0             0.0             0.0               0.0   \n",
       "1        0.0             0.0             0.0               0.0   \n",
       "2        0.0             0.0             0.0               0.0   \n",
       "3        0.0             0.0             0.0               0.0   \n",
       "4        0.0             0.0             0.0               0.0   \n",
       "\n",
       "   extra_point_attempt  two_point_attempt  field_goal_attempt  \\\n",
       "0                  0.0                0.0                 0.0   \n",
       "1                  0.0                0.0                 0.0   \n",
       "2                  0.0                0.0                 0.0   \n",
       "3                  0.0                0.0                 0.0   \n",
       "4                  0.0                0.0                 0.0   \n",
       "\n",
       "   kickoff_attempt  punt_attempt  fumble  complete_pass  assist_tackle  \\\n",
       "0              1.0           0.0     0.0            0.0            0.0   \n",
       "1              0.0           0.0     0.0            0.0            0.0   \n",
       "2              0.0           0.0     0.0            1.0            0.0   \n",
       "3              0.0           0.0     0.0            0.0            0.0   \n",
       "4              0.0           1.0     0.0            0.0            0.0   \n",
       "\n",
       "   lateral_reception  lateral_rush  lateral_return  lateral_recovery  \\\n",
       "0                0.0           0.0             0.0               0.0   \n",
       "1                0.0           0.0             0.0               0.0   \n",
       "2                0.0           0.0             0.0               0.0   \n",
       "3                0.0           0.0             0.0               0.0   \n",
       "4                0.0           0.0             0.0               0.0   \n",
       "\n",
       "  passer_player_id passer_player_name receiver_player_id receiver_player_name  \\\n",
       "0              NaN                NaN                NaN                  NaN   \n",
       "1              NaN                NaN                NaN                  NaN   \n",
       "2       00-0023459          A.Rodgers         00-0033293              A.Jones   \n",
       "3       00-0023459          A.Rodgers                NaN                  NaN   \n",
       "4              NaN                NaN                NaN                  NaN   \n",
       "\n",
       "  rusher_player_id rusher_player_name lateral_receiver_player_id  \\\n",
       "0              NaN                NaN                        NaN   \n",
       "1       00-0033293            A.Jones                        NaN   \n",
       "2              NaN                NaN                        NaN   \n",
       "3              NaN                NaN                        NaN   \n",
       "4              NaN                NaN                        NaN   \n",
       "\n",
       "  lateral_receiver_player_name lateral_rusher_player_id  \\\n",
       "0                          NaN                      NaN   \n",
       "1                          NaN                      NaN   \n",
       "2                          NaN                      NaN   \n",
       "3                          NaN                      NaN   \n",
       "4                          NaN                      NaN   \n",
       "\n",
       "  lateral_rusher_player_name  lateral_sack_player_id  \\\n",
       "0                        NaN                     NaN   \n",
       "1                        NaN                     NaN   \n",
       "2                        NaN                     NaN   \n",
       "3                        NaN                     NaN   \n",
       "4                        NaN                     NaN   \n",
       "\n",
       "   lateral_sack_player_name interception_player_id interception_player_name  \\\n",
       "0                       NaN                    NaN                      NaN   \n",
       "1                       NaN                    NaN                      NaN   \n",
       "2                       NaN                    NaN                      NaN   \n",
       "3                       NaN                    NaN                      NaN   \n",
       "4                       NaN                    NaN                      NaN   \n",
       "\n",
       "  lateral_interception_player_id lateral_interception_player_name  \\\n",
       "0                            NaN                              NaN   \n",
       "1                            NaN                              NaN   \n",
       "2                            NaN                              NaN   \n",
       "3                            NaN                              NaN   \n",
       "4                            NaN                              NaN   \n",
       "\n",
       "  punt_returner_player_id punt_returner_player_name  \\\n",
       "0                     NaN                       NaN   \n",
       "1                     NaN                       NaN   \n",
       "2                     NaN                       NaN   \n",
       "3                     NaN                       NaN   \n",
       "4              00-0033556                   T.Cohen   \n",
       "\n",
       "  lateral_punt_returner_player_id lateral_punt_returner_player_name  \\\n",
       "0                             NaN                               NaN   \n",
       "1                             NaN                               NaN   \n",
       "2                             NaN                               NaN   \n",
       "3                             NaN                               NaN   \n",
       "4                             NaN                               NaN   \n",
       "\n",
       "  kickoff_returner_player_name kickoff_returner_player_id  \\\n",
       "0                          NaN                        NaN   \n",
       "1                          NaN                        NaN   \n",
       "2                          NaN                        NaN   \n",
       "3                          NaN                        NaN   \n",
       "4                          NaN                        NaN   \n",
       "\n",
       "  lateral_kickoff_returner_player_id lateral_kickoff_returner_player_name  \\\n",
       "0                                NaN                                  NaN   \n",
       "1                                NaN                                  NaN   \n",
       "2                                NaN                                  NaN   \n",
       "3                                NaN                                  NaN   \n",
       "4                                NaN                                  NaN   \n",
       "\n",
       "  punter_player_id punter_player_name kicker_player_name kicker_player_id  \\\n",
       "0              NaN                NaN          E.Pineiro       00-0034173   \n",
       "1              NaN                NaN                NaN              NaN   \n",
       "2              NaN                NaN                NaN              NaN   \n",
       "3              NaN                NaN                NaN              NaN   \n",
       "4       00-0034162            J.Scott                NaN              NaN   \n",
       "\n",
       "  own_kickoff_recovery_player_id own_kickoff_recovery_player_name  \\\n",
       "0                            NaN                              NaN   \n",
       "1                            NaN                              NaN   \n",
       "2                            NaN                              NaN   \n",
       "3                            NaN                              NaN   \n",
       "4                            NaN                              NaN   \n",
       "\n",
       "  blocked_player_id blocked_player_name tackle_for_loss_1_player_id  \\\n",
       "0               NaN                 NaN                         NaN   \n",
       "1               NaN                 NaN                         NaN   \n",
       "2               NaN                 NaN                         NaN   \n",
       "3               NaN                 NaN                  00-0032667   \n",
       "4               NaN                 NaN                         NaN   \n",
       "\n",
       "  tackle_for_loss_1_player_name tackle_for_loss_2_player_id  \\\n",
       "0                           NaN                         NaN   \n",
       "1                           NaN                         NaN   \n",
       "2                           NaN                         NaN   \n",
       "3            R.Robertson-Harris                         NaN   \n",
       "4                           NaN                         NaN   \n",
       "\n",
       "  tackle_for_loss_2_player_name qb_hit_1_player_id qb_hit_1_player_name  \\\n",
       "0                           NaN                NaN                  NaN   \n",
       "1                           NaN                NaN                  NaN   \n",
       "2                           NaN                NaN                  NaN   \n",
       "3                           NaN         00-0032667   R.Robertson-Harris   \n",
       "4                           NaN                NaN                  NaN   \n",
       "\n",
       "  qb_hit_2_player_id qb_hit_2_player_name forced_fumble_player_1_team  \\\n",
       "0                NaN                  NaN                         NaN   \n",
       "1                NaN                  NaN                         NaN   \n",
       "2                NaN                  NaN                         NaN   \n",
       "3                NaN                  NaN                         NaN   \n",
       "4                NaN                  NaN                         NaN   \n",
       "\n",
       "  forced_fumble_player_1_player_id forced_fumble_player_1_player_name  \\\n",
       "0                              NaN                                NaN   \n",
       "1                              NaN                                NaN   \n",
       "2                              NaN                                NaN   \n",
       "3                              NaN                                NaN   \n",
       "4                              NaN                                NaN   \n",
       "\n",
       "  forced_fumble_player_2_team forced_fumble_player_2_player_id  \\\n",
       "0                         NaN                              NaN   \n",
       "1                         NaN                              NaN   \n",
       "2                         NaN                              NaN   \n",
       "3                         NaN                              NaN   \n",
       "4                         NaN                              NaN   \n",
       "\n",
       "  forced_fumble_player_2_player_name solo_tackle_1_team solo_tackle_2_team  \\\n",
       "0                                NaN                NaN                NaN   \n",
       "1                                NaN                CHI                NaN   \n",
       "2                                NaN                CHI                NaN   \n",
       "3                                NaN                CHI                NaN   \n",
       "4                                NaN                 GB                NaN   \n",
       "\n",
       "  solo_tackle_1_player_id solo_tackle_2_player_id solo_tackle_1_player_name  \\\n",
       "0                     NaN                     NaN                       NaN   \n",
       "1              00-0034874                     NaN                   R.Smith   \n",
       "2              00-0034874                     NaN                   R.Smith   \n",
       "3              00-0032667                     NaN        R.Robertson-Harris   \n",
       "4              00-0031584                     NaN                    A.Amos   \n",
       "\n",
       "  solo_tackle_2_player_name assist_tackle_1_player_id  \\\n",
       "0                       NaN                       NaN   \n",
       "1                       NaN                       NaN   \n",
       "2                       NaN                       NaN   \n",
       "3                       NaN                       NaN   \n",
       "4                       NaN                       NaN   \n",
       "\n",
       "  assist_tackle_1_player_name assist_tackle_1_team assist_tackle_2_player_id  \\\n",
       "0                         NaN                  NaN                       NaN   \n",
       "1                         NaN                  NaN                       NaN   \n",
       "2                         NaN                  NaN                       NaN   \n",
       "3                         NaN                  NaN                       NaN   \n",
       "4                         NaN                  NaN                       NaN   \n",
       "\n",
       "  assist_tackle_2_player_name assist_tackle_2_team assist_tackle_3_player_id  \\\n",
       "0                         NaN                  NaN                       NaN   \n",
       "1                         NaN                  NaN                       NaN   \n",
       "2                         NaN                  NaN                       NaN   \n",
       "3                         NaN                  NaN                       NaN   \n",
       "4                         NaN                  NaN                       NaN   \n",
       "\n",
       "  assist_tackle_3_player_name assist_tackle_3_team assist_tackle_4_player_id  \\\n",
       "0                         NaN                  NaN                       NaN   \n",
       "1                         NaN                  NaN                       NaN   \n",
       "2                         NaN                  NaN                       NaN   \n",
       "3                         NaN                  NaN                       NaN   \n",
       "4                         NaN                  NaN                       NaN   \n",
       "\n",
       "  assist_tackle_4_player_name assist_tackle_4_team pass_defense_1_player_id  \\\n",
       "0                         NaN                  NaN                      NaN   \n",
       "1                         NaN                  NaN                      NaN   \n",
       "2                         NaN                  NaN                      NaN   \n",
       "3                         NaN                  NaN                      NaN   \n",
       "4                         NaN                  NaN                      NaN   \n",
       "\n",
       "  pass_defense_1_player_name pass_defense_2_player_id  \\\n",
       "0                        NaN                      NaN   \n",
       "1                        NaN                      NaN   \n",
       "2                        NaN                      NaN   \n",
       "3                        NaN                      NaN   \n",
       "4                        NaN                      NaN   \n",
       "\n",
       "  pass_defense_2_player_name fumbled_1_team fumbled_1_player_id  \\\n",
       "0                        NaN            NaN                 NaN   \n",
       "1                        NaN            NaN                 NaN   \n",
       "2                        NaN            NaN                 NaN   \n",
       "3                        NaN            NaN                 NaN   \n",
       "4                        NaN            NaN                 NaN   \n",
       "\n",
       "  fumbled_1_player_name fumbled_2_player_id fumbled_2_player_name  \\\n",
       "0                   NaN                 NaN                   NaN   \n",
       "1                   NaN                 NaN                   NaN   \n",
       "2                   NaN                 NaN                   NaN   \n",
       "3                   NaN                 NaN                   NaN   \n",
       "4                   NaN                 NaN                   NaN   \n",
       "\n",
       "  fumbled_2_team fumble_recovery_1_team  fumble_recovery_1_yards  \\\n",
       "0            NaN                    NaN                      NaN   \n",
       "1            NaN                    NaN                      NaN   \n",
       "2            NaN                    NaN                      NaN   \n",
       "3            NaN                    NaN                      NaN   \n",
       "4            NaN                    NaN                      NaN   \n",
       "\n",
       "  fumble_recovery_1_player_id fumble_recovery_1_player_name  \\\n",
       "0                         NaN                           NaN   \n",
       "1                         NaN                           NaN   \n",
       "2                         NaN                           NaN   \n",
       "3                         NaN                           NaN   \n",
       "4                         NaN                           NaN   \n",
       "\n",
       "  fumble_recovery_2_team  fumble_recovery_2_yards fumble_recovery_2_player_id  \\\n",
       "0                    NaN                      NaN                         NaN   \n",
       "1                    NaN                      NaN                         NaN   \n",
       "2                    NaN                      NaN                         NaN   \n",
       "3                    NaN                      NaN                         NaN   \n",
       "4                    NaN                      NaN                         NaN   \n",
       "\n",
       "  fumble_recovery_2_player_name return_team  return_yards penalty_team  \\\n",
       "0                           NaN         NaN             0          NaN   \n",
       "1                           NaN         NaN             0          NaN   \n",
       "2                           NaN         NaN             0          NaN   \n",
       "3                           NaN         NaN             0          NaN   \n",
       "4                           NaN         CHI            11          NaN   \n",
       "\n",
       "  penalty_player_id penalty_player_name  penalty_yards  replay_or_challenge  \\\n",
       "0               NaN                 NaN            NaN                    0   \n",
       "1               NaN                 NaN            NaN                    0   \n",
       "2               NaN                 NaN            NaN                    0   \n",
       "3               NaN                 NaN            NaN                    0   \n",
       "4               NaN                 NaN            NaN                    0   \n",
       "\n",
       "  replay_or_challenge_result penalty_type  defensive_two_point_attempt  \\\n",
       "0                        NaN          NaN                          0.0   \n",
       "1                        NaN          NaN                          0.0   \n",
       "2                        NaN          NaN                          0.0   \n",
       "3                        NaN          NaN                          0.0   \n",
       "4                        NaN          NaN                          0.0   \n",
       "\n",
       "   defensive_two_point_conv  defensive_extra_point_attempt  \\\n",
       "0                       0.0                            0.0   \n",
       "1                       0.0                            0.0   \n",
       "2                       0.0                            0.0   \n",
       "3                       0.0                            0.0   \n",
       "4                       0.0                            0.0   \n",
       "\n",
       "   defensive_extra_point_conv  \n",
       "0                         0.0  \n",
       "1                         0.0  \n",
       "2                         0.0  \n",
       "3                         0.0  \n",
       "4                         0.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 6;\n",
       "                var nbb_unformatted_code = \"nfl = pd.read_csv(\\n    r\\\"C:\\\\Users\\\\Kwasi\\\\Documents\\\\github\\\\NFL Cluster Analysis\\\\data\\\\reg_pbp_2019.csv\\\"\\n)\\n\\nprint(f\\\"This dataset is {len(nfl)}\\\")\\npd.set_option(\\\"display.max_columns\\\", len(nfl.columns))\\npd.options.display.max_info_columns = 110\\npd.set_option(\\\"display.max_rows\\\", 100)\\n\\nnfl.head()\";\n",
       "                var nbb_formatted_code = \"nfl = pd.read_csv(\\n    r\\\"C:\\\\Users\\\\Kwasi\\\\Documents\\\\github\\\\NFL Cluster Analysis\\\\data\\\\reg_pbp_2019.csv\\\"\\n)\\n\\nprint(f\\\"This dataset is {len(nfl)}\\\")\\npd.set_option(\\\"display.max_columns\\\", len(nfl.columns))\\npd.options.display.max_info_columns = 110\\npd.set_option(\\\"display.max_rows\\\", 100)\\n\\nnfl.head()\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nfl = pd.read_csv(\n",
    "    r\"C:\\Users\\Kwasi\\Documents\\github\\NFL Cluster Analysis\\data\\reg_pbp_2019.csv\"\n",
    ")\n",
    "\n",
    "print(f\"This dataset is {len(nfl)}\")\n",
    "pd.set_option(\"display.max_columns\", len(nfl.columns))\n",
    "pd.options.display.max_info_columns = 110\n",
    "pd.set_option(\"display.max_rows\", 100)\n",
    "\n",
    "nfl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pass           19063\n",
       "run            13021\n",
       "no_play         4444\n",
       "kickoff         2587\n",
       "punt            2150\n",
       "extra_point     1193\n",
       "field_goal       979\n",
       "qb_kneel         397\n",
       "qb_spike          72\n",
       "Name: play_type, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 7;\n",
       "                var nbb_unformatted_code = \"nfl.play_type.value_counts()\";\n",
       "                var nbb_formatted_code = \"nfl.play_type.value_counts()\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nfl.play_type.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>play_id</th>\n",
       "      <th>game_id</th>\n",
       "      <th>home_team</th>\n",
       "      <th>away_team</th>\n",
       "      <th>posteam</th>\n",
       "      <th>posteam_type</th>\n",
       "      <th>defteam</th>\n",
       "      <th>side_of_field</th>\n",
       "      <th>yardline_100</th>\n",
       "      <th>game_date</th>\n",
       "      <th>quarter_seconds_remaining</th>\n",
       "      <th>half_seconds_remaining</th>\n",
       "      <th>game_seconds_remaining</th>\n",
       "      <th>game_half</th>\n",
       "      <th>quarter_end</th>\n",
       "      <th>drive</th>\n",
       "      <th>sp</th>\n",
       "      <th>qtr</th>\n",
       "      <th>down</th>\n",
       "      <th>goal_to_go</th>\n",
       "      <th>time</th>\n",
       "      <th>yrdln</th>\n",
       "      <th>ydstogo</th>\n",
       "      <th>ydsnet</th>\n",
       "      <th>desc</th>\n",
       "      <th>play_type</th>\n",
       "      <th>yards_gained</th>\n",
       "      <th>shotgun</th>\n",
       "      <th>no_huddle</th>\n",
       "      <th>qb_dropback</th>\n",
       "      <th>qb_kneel</th>\n",
       "      <th>qb_spike</th>\n",
       "      <th>qb_scramble</th>\n",
       "      <th>pass_length</th>\n",
       "      <th>pass_location</th>\n",
       "      <th>air_yards</th>\n",
       "      <th>yards_after_catch</th>\n",
       "      <th>run_location</th>\n",
       "      <th>run_gap</th>\n",
       "      <th>field_goal_result</th>\n",
       "      <th>kick_distance</th>\n",
       "      <th>extra_point_result</th>\n",
       "      <th>two_point_conv_result</th>\n",
       "      <th>home_timeouts_remaining</th>\n",
       "      <th>away_timeouts_remaining</th>\n",
       "      <th>timeout</th>\n",
       "      <th>timeout_team</th>\n",
       "      <th>td_team</th>\n",
       "      <th>posteam_timeouts_remaining</th>\n",
       "      <th>defteam_timeouts_remaining</th>\n",
       "      <th>total_home_score</th>\n",
       "      <th>total_away_score</th>\n",
       "      <th>posteam_score</th>\n",
       "      <th>defteam_score</th>\n",
       "      <th>score_differential</th>\n",
       "      <th>posteam_score_post</th>\n",
       "      <th>defteam_score_post</th>\n",
       "      <th>score_differential_post</th>\n",
       "      <th>no_score_prob</th>\n",
       "      <th>opp_fg_prob</th>\n",
       "      <th>opp_safety_prob</th>\n",
       "      <th>opp_td_prob</th>\n",
       "      <th>fg_prob</th>\n",
       "      <th>safety_prob</th>\n",
       "      <th>td_prob</th>\n",
       "      <th>extra_point_prob</th>\n",
       "      <th>two_point_conversion_prob</th>\n",
       "      <th>ep</th>\n",
       "      <th>epa</th>\n",
       "      <th>total_home_epa</th>\n",
       "      <th>total_away_epa</th>\n",
       "      <th>total_home_rush_epa</th>\n",
       "      <th>total_away_rush_epa</th>\n",
       "      <th>total_home_pass_epa</th>\n",
       "      <th>total_away_pass_epa</th>\n",
       "      <th>air_epa</th>\n",
       "      <th>yac_epa</th>\n",
       "      <th>comp_air_epa</th>\n",
       "      <th>comp_yac_epa</th>\n",
       "      <th>total_home_comp_air_epa</th>\n",
       "      <th>total_away_comp_air_epa</th>\n",
       "      <th>total_home_comp_yac_epa</th>\n",
       "      <th>total_away_comp_yac_epa</th>\n",
       "      <th>total_home_raw_air_epa</th>\n",
       "      <th>total_away_raw_air_epa</th>\n",
       "      <th>total_home_raw_yac_epa</th>\n",
       "      <th>total_away_raw_yac_epa</th>\n",
       "      <th>wp</th>\n",
       "      <th>def_wp</th>\n",
       "      <th>home_wp</th>\n",
       "      <th>away_wp</th>\n",
       "      <th>wpa</th>\n",
       "      <th>home_wp_post</th>\n",
       "      <th>away_wp_post</th>\n",
       "      <th>total_home_rush_wpa</th>\n",
       "      <th>total_away_rush_wpa</th>\n",
       "      <th>total_home_pass_wpa</th>\n",
       "      <th>total_away_pass_wpa</th>\n",
       "      <th>air_wpa</th>\n",
       "      <th>yac_wpa</th>\n",
       "      <th>comp_air_wpa</th>\n",
       "      <th>comp_yac_wpa</th>\n",
       "      <th>total_home_comp_air_wpa</th>\n",
       "      <th>total_away_comp_air_wpa</th>\n",
       "      <th>total_home_comp_yac_wpa</th>\n",
       "      <th>total_away_comp_yac_wpa</th>\n",
       "      <th>total_home_raw_air_wpa</th>\n",
       "      <th>total_away_raw_air_wpa</th>\n",
       "      <th>total_home_raw_yac_wpa</th>\n",
       "      <th>total_away_raw_yac_wpa</th>\n",
       "      <th>punt_blocked</th>\n",
       "      <th>first_down_rush</th>\n",
       "      <th>first_down_pass</th>\n",
       "      <th>first_down_penalty</th>\n",
       "      <th>third_down_converted</th>\n",
       "      <th>third_down_failed</th>\n",
       "      <th>fourth_down_converted</th>\n",
       "      <th>fourth_down_failed</th>\n",
       "      <th>incomplete_pass</th>\n",
       "      <th>touchback</th>\n",
       "      <th>interception</th>\n",
       "      <th>punt_inside_twenty</th>\n",
       "      <th>punt_in_endzone</th>\n",
       "      <th>punt_out_of_bounds</th>\n",
       "      <th>punt_downed</th>\n",
       "      <th>punt_fair_catch</th>\n",
       "      <th>kickoff_inside_twenty</th>\n",
       "      <th>kickoff_in_endzone</th>\n",
       "      <th>kickoff_out_of_bounds</th>\n",
       "      <th>kickoff_downed</th>\n",
       "      <th>kickoff_fair_catch</th>\n",
       "      <th>fumble_forced</th>\n",
       "      <th>fumble_not_forced</th>\n",
       "      <th>fumble_out_of_bounds</th>\n",
       "      <th>solo_tackle</th>\n",
       "      <th>safety</th>\n",
       "      <th>penalty</th>\n",
       "      <th>tackled_for_loss</th>\n",
       "      <th>fumble_lost</th>\n",
       "      <th>own_kickoff_recovery</th>\n",
       "      <th>own_kickoff_recovery_td</th>\n",
       "      <th>qb_hit</th>\n",
       "      <th>rush_attempt</th>\n",
       "      <th>pass_attempt</th>\n",
       "      <th>sack</th>\n",
       "      <th>touchdown</th>\n",
       "      <th>pass_touchdown</th>\n",
       "      <th>rush_touchdown</th>\n",
       "      <th>return_touchdown</th>\n",
       "      <th>extra_point_attempt</th>\n",
       "      <th>two_point_attempt</th>\n",
       "      <th>field_goal_attempt</th>\n",
       "      <th>kickoff_attempt</th>\n",
       "      <th>punt_attempt</th>\n",
       "      <th>fumble</th>\n",
       "      <th>complete_pass</th>\n",
       "      <th>assist_tackle</th>\n",
       "      <th>lateral_reception</th>\n",
       "      <th>lateral_rush</th>\n",
       "      <th>lateral_return</th>\n",
       "      <th>lateral_recovery</th>\n",
       "      <th>passer_player_id</th>\n",
       "      <th>passer_player_name</th>\n",
       "      <th>receiver_player_id</th>\n",
       "      <th>receiver_player_name</th>\n",
       "      <th>rusher_player_id</th>\n",
       "      <th>rusher_player_name</th>\n",
       "      <th>lateral_receiver_player_id</th>\n",
       "      <th>lateral_receiver_player_name</th>\n",
       "      <th>lateral_rusher_player_id</th>\n",
       "      <th>lateral_rusher_player_name</th>\n",
       "      <th>lateral_sack_player_id</th>\n",
       "      <th>lateral_sack_player_name</th>\n",
       "      <th>interception_player_id</th>\n",
       "      <th>interception_player_name</th>\n",
       "      <th>lateral_interception_player_id</th>\n",
       "      <th>lateral_interception_player_name</th>\n",
       "      <th>punt_returner_player_id</th>\n",
       "      <th>punt_returner_player_name</th>\n",
       "      <th>lateral_punt_returner_player_id</th>\n",
       "      <th>lateral_punt_returner_player_name</th>\n",
       "      <th>kickoff_returner_player_name</th>\n",
       "      <th>kickoff_returner_player_id</th>\n",
       "      <th>lateral_kickoff_returner_player_id</th>\n",
       "      <th>lateral_kickoff_returner_player_name</th>\n",
       "      <th>punter_player_id</th>\n",
       "      <th>punter_player_name</th>\n",
       "      <th>kicker_player_name</th>\n",
       "      <th>kicker_player_id</th>\n",
       "      <th>own_kickoff_recovery_player_id</th>\n",
       "      <th>own_kickoff_recovery_player_name</th>\n",
       "      <th>blocked_player_id</th>\n",
       "      <th>blocked_player_name</th>\n",
       "      <th>tackle_for_loss_1_player_id</th>\n",
       "      <th>tackle_for_loss_1_player_name</th>\n",
       "      <th>tackle_for_loss_2_player_id</th>\n",
       "      <th>tackle_for_loss_2_player_name</th>\n",
       "      <th>qb_hit_1_player_id</th>\n",
       "      <th>qb_hit_1_player_name</th>\n",
       "      <th>qb_hit_2_player_id</th>\n",
       "      <th>qb_hit_2_player_name</th>\n",
       "      <th>forced_fumble_player_1_team</th>\n",
       "      <th>forced_fumble_player_1_player_id</th>\n",
       "      <th>forced_fumble_player_1_player_name</th>\n",
       "      <th>forced_fumble_player_2_team</th>\n",
       "      <th>forced_fumble_player_2_player_id</th>\n",
       "      <th>forced_fumble_player_2_player_name</th>\n",
       "      <th>solo_tackle_1_team</th>\n",
       "      <th>solo_tackle_2_team</th>\n",
       "      <th>solo_tackle_1_player_id</th>\n",
       "      <th>solo_tackle_2_player_id</th>\n",
       "      <th>solo_tackle_1_player_name</th>\n",
       "      <th>solo_tackle_2_player_name</th>\n",
       "      <th>assist_tackle_1_player_id</th>\n",
       "      <th>assist_tackle_1_player_name</th>\n",
       "      <th>assist_tackle_1_team</th>\n",
       "      <th>assist_tackle_2_player_id</th>\n",
       "      <th>assist_tackle_2_player_name</th>\n",
       "      <th>assist_tackle_2_team</th>\n",
       "      <th>assist_tackle_3_player_id</th>\n",
       "      <th>assist_tackle_3_player_name</th>\n",
       "      <th>assist_tackle_3_team</th>\n",
       "      <th>assist_tackle_4_player_id</th>\n",
       "      <th>assist_tackle_4_player_name</th>\n",
       "      <th>assist_tackle_4_team</th>\n",
       "      <th>pass_defense_1_player_id</th>\n",
       "      <th>pass_defense_1_player_name</th>\n",
       "      <th>pass_defense_2_player_id</th>\n",
       "      <th>pass_defense_2_player_name</th>\n",
       "      <th>fumbled_1_team</th>\n",
       "      <th>fumbled_1_player_id</th>\n",
       "      <th>fumbled_1_player_name</th>\n",
       "      <th>fumbled_2_player_id</th>\n",
       "      <th>fumbled_2_player_name</th>\n",
       "      <th>fumbled_2_team</th>\n",
       "      <th>fumble_recovery_1_team</th>\n",
       "      <th>fumble_recovery_1_yards</th>\n",
       "      <th>fumble_recovery_1_player_id</th>\n",
       "      <th>fumble_recovery_1_player_name</th>\n",
       "      <th>fumble_recovery_2_team</th>\n",
       "      <th>fumble_recovery_2_yards</th>\n",
       "      <th>fumble_recovery_2_player_id</th>\n",
       "      <th>fumble_recovery_2_player_name</th>\n",
       "      <th>return_team</th>\n",
       "      <th>return_yards</th>\n",
       "      <th>penalty_team</th>\n",
       "      <th>penalty_player_id</th>\n",
       "      <th>penalty_player_name</th>\n",
       "      <th>penalty_yards</th>\n",
       "      <th>replay_or_challenge</th>\n",
       "      <th>replay_or_challenge_result</th>\n",
       "      <th>penalty_type</th>\n",
       "      <th>defensive_two_point_attempt</th>\n",
       "      <th>defensive_two_point_conv</th>\n",
       "      <th>defensive_extra_point_attempt</th>\n",
       "      <th>defensive_extra_point_conv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>CHI</td>\n",
       "      <td>35.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>900.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15:00</td>\n",
       "      <td>CHI 35</td>\n",
       "      <td>0</td>\n",
       "      <td>-10</td>\n",
       "      <td>E.Pineiro kicks 65 yards from CHI 35 to end zo...</td>\n",
       "      <td>kickoff</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001374</td>\n",
       "      <td>0.162632</td>\n",
       "      <td>0.004441</td>\n",
       "      <td>0.254179</td>\n",
       "      <td>0.233081</td>\n",
       "      <td>0.003656</td>\n",
       "      <td>0.340639</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.814998</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E.Pineiro</td>\n",
       "      <td>00-0034173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>900.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15:00</td>\n",
       "      <td>GB 25</td>\n",
       "      <td>10</td>\n",
       "      <td>-10</td>\n",
       "      <td>(15:00) A.Jones left tackle to GB 25 for no ga...</td>\n",
       "      <td>run</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left</td>\n",
       "      <td>tackle</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001374</td>\n",
       "      <td>0.162632</td>\n",
       "      <td>0.004441</td>\n",
       "      <td>0.254179</td>\n",
       "      <td>0.233081</td>\n",
       "      <td>0.003656</td>\n",
       "      <td>0.340639</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.814998</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500007</td>\n",
       "      <td>0.499993</td>\n",
       "      <td>0.499993</td>\n",
       "      <td>0.500007</td>\n",
       "      <td>-0.020660</td>\n",
       "      <td>0.520654</td>\n",
       "      <td>0.479346</td>\n",
       "      <td>0.020660</td>\n",
       "      <td>-0.020660</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0033293</td>\n",
       "      <td>A.Jones</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CHI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0034874</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R.Smith</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>71</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>873.0</td>\n",
       "      <td>1773.0</td>\n",
       "      <td>3573.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14:33</td>\n",
       "      <td>GB 25</td>\n",
       "      <td>10</td>\n",
       "      <td>-10</td>\n",
       "      <td>(14:33) A.Rodgers pass short left to A.Jones t...</td>\n",
       "      <td>pass</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>short</td>\n",
       "      <td>left</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001569</td>\n",
       "      <td>0.188484</td>\n",
       "      <td>0.005696</td>\n",
       "      <td>0.295010</td>\n",
       "      <td>0.213057</td>\n",
       "      <td>0.003982</td>\n",
       "      <td>0.292202</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.050636</td>\n",
       "      <td>-0.987734</td>\n",
       "      <td>1.752097</td>\n",
       "      <td>-1.752097</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>0.987734</td>\n",
       "      <td>-0.987734</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>0.479346</td>\n",
       "      <td>0.520654</td>\n",
       "      <td>0.520654</td>\n",
       "      <td>0.479346</td>\n",
       "      <td>-0.026088</td>\n",
       "      <td>0.546742</td>\n",
       "      <td>0.453258</td>\n",
       "      <td>0.020660</td>\n",
       "      <td>-0.020660</td>\n",
       "      <td>0.026088</td>\n",
       "      <td>-0.026088</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00-0023459</td>\n",
       "      <td>A.Rodgers</td>\n",
       "      <td>00-0033293</td>\n",
       "      <td>A.Jones</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CHI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0034874</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R.Smith</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>95</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>825.0</td>\n",
       "      <td>1725.0</td>\n",
       "      <td>3525.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13:45</td>\n",
       "      <td>GB 25</td>\n",
       "      <td>10</td>\n",
       "      <td>-10</td>\n",
       "      <td>(13:45) (Shotgun) A.Rodgers sacked at GB 15 fo...</td>\n",
       "      <td>pass</td>\n",
       "      <td>-10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001863</td>\n",
       "      <td>0.226273</td>\n",
       "      <td>0.006642</td>\n",
       "      <td>0.349574</td>\n",
       "      <td>0.171216</td>\n",
       "      <td>0.004530</td>\n",
       "      <td>0.239902</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.937099</td>\n",
       "      <td>-2.221273</td>\n",
       "      <td>3.973370</td>\n",
       "      <td>-3.973370</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>3.209007</td>\n",
       "      <td>-3.209007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>0.453258</td>\n",
       "      <td>0.546742</td>\n",
       "      <td>0.546742</td>\n",
       "      <td>0.453258</td>\n",
       "      <td>-0.066931</td>\n",
       "      <td>0.613673</td>\n",
       "      <td>0.386327</td>\n",
       "      <td>0.020660</td>\n",
       "      <td>-0.020660</td>\n",
       "      <td>0.093020</td>\n",
       "      <td>-0.093020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00-0023459</td>\n",
       "      <td>A.Rodgers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0032667</td>\n",
       "      <td>R.Robertson-Harris</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0032667</td>\n",
       "      <td>R.Robertson-Harris</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CHI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0032667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R.Robertson-Harris</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>125</td>\n",
       "      <td>2019090500</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>GB</td>\n",
       "      <td>away</td>\n",
       "      <td>CHI</td>\n",
       "      <td>GB</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>795.0</td>\n",
       "      <td>1695.0</td>\n",
       "      <td>3495.0</td>\n",
       "      <td>Half1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13:15</td>\n",
       "      <td>GB 15</td>\n",
       "      <td>20</td>\n",
       "      <td>-10</td>\n",
       "      <td>(13:15) (Punt formation) J.Scott punts 53 yard...</td>\n",
       "      <td>punt</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.002114</td>\n",
       "      <td>0.327285</td>\n",
       "      <td>0.010957</td>\n",
       "      <td>0.466627</td>\n",
       "      <td>0.054465</td>\n",
       "      <td>0.004293</td>\n",
       "      <td>0.134258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.158372</td>\n",
       "      <td>0.714739</td>\n",
       "      <td>3.258631</td>\n",
       "      <td>-3.258631</td>\n",
       "      <td>0.764363</td>\n",
       "      <td>-0.764363</td>\n",
       "      <td>3.209007</td>\n",
       "      <td>-3.209007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>1.095212</td>\n",
       "      <td>-1.095212</td>\n",
       "      <td>-0.107477</td>\n",
       "      <td>0.107477</td>\n",
       "      <td>0.386327</td>\n",
       "      <td>0.613673</td>\n",
       "      <td>0.613673</td>\n",
       "      <td>0.386327</td>\n",
       "      <td>0.057563</td>\n",
       "      <td>0.556110</td>\n",
       "      <td>0.443890</td>\n",
       "      <td>0.020660</td>\n",
       "      <td>-0.020660</td>\n",
       "      <td>0.093020</td>\n",
       "      <td>-0.093020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.031647</td>\n",
       "      <td>-0.031647</td>\n",
       "      <td>-0.005559</td>\n",
       "      <td>0.005559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CHI</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45541</td>\n",
       "      <td>3955</td>\n",
       "      <td>2019122915</td>\n",
       "      <td>SEA</td>\n",
       "      <td>SF</td>\n",
       "      <td>SEA</td>\n",
       "      <td>home</td>\n",
       "      <td>SF</td>\n",
       "      <td>SF</td>\n",
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       "      <td>2019-12-29</td>\n",
       "      <td>22.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Half2</td>\n",
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       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>00:22</td>\n",
       "      <td>SF 5</td>\n",
       "      <td>5</td>\n",
       "      <td>72</td>\n",
       "      <td>(:22) (Shotgun) R.Wilson pass incomplete short...</td>\n",
       "      <td>pass</td>\n",
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       "      <td>1</td>\n",
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       "      <td>short</td>\n",
       "      <td>left</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>21</td>\n",
       "      <td>26</td>\n",
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       "      <td>0.004921</td>\n",
       "      <td>0.378260</td>\n",
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       "      <td>6.785425</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00-0029263</td>\n",
       "      <td>R.Wilson</td>\n",
       "      <td>00-0032211</td>\n",
       "      <td>T.Lockett</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0032378</td>\n",
       "      <td>D.Buckner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0034730</td>\n",
       "      <td>M.Harris</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45542</td>\n",
       "      <td>3977</td>\n",
       "      <td>2019122915</td>\n",
       "      <td>SEA</td>\n",
       "      <td>SF</td>\n",
       "      <td>SEA</td>\n",
       "      <td>home</td>\n",
       "      <td>SF</td>\n",
       "      <td>SF</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Half2</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:15</td>\n",
       "      <td>SF 5</td>\n",
       "      <td>5</td>\n",
       "      <td>72</td>\n",
       "      <td>(:15) (Shotgun) R.Wilson pass incomplete short...</td>\n",
       "      <td>pass</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>short</td>\n",
       "      <td>middle</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>21</td>\n",
       "      <td>26</td>\n",
       "      <td>21.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>0.197189</td>\n",
       "      <td>0.009679</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>0.005978</td>\n",
       "      <td>0.496176</td>\n",
       "      <td>0.000792</td>\n",
       "      <td>0.290118</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.449920</td>\n",
       "      <td>-0.912051</td>\n",
       "      <td>-3.976311</td>\n",
       "      <td>3.976311</td>\n",
       "      <td>-6.785425</td>\n",
       "      <td>6.785425</td>\n",
       "      <td>-0.267558</td>\n",
       "      <td>0.267558</td>\n",
       "      <td>3.550080</td>\n",
       "      <td>-4.462131</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.247535</td>\n",
       "      <td>-5.247535</td>\n",
       "      <td>0.817163</td>\n",
       "      <td>-0.817163</td>\n",
       "      <td>26.822093</td>\n",
       "      <td>-26.822093</td>\n",
       "      <td>-28.263795</td>\n",
       "      <td>28.263795</td>\n",
       "      <td>0.068701</td>\n",
       "      <td>0.931299</td>\n",
       "      <td>0.068701</td>\n",
       "      <td>0.931299</td>\n",
       "      <td>-0.042559</td>\n",
       "      <td>0.026141</td>\n",
       "      <td>0.973859</td>\n",
       "      <td>-0.263874</td>\n",
       "      <td>0.263874</td>\n",
       "      <td>-0.001360</td>\n",
       "      <td>0.001360</td>\n",
       "      <td>0.899287</td>\n",
       "      <td>-0.941846</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.708619</td>\n",
       "      <td>-0.708619</td>\n",
       "      <td>-0.053939</td>\n",
       "      <td>0.053939</td>\n",
       "      <td>4.164968</td>\n",
       "      <td>-4.164968</td>\n",
       "      <td>-4.219298</td>\n",
       "      <td>4.219298</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00-0029263</td>\n",
       "      <td>R.Wilson</td>\n",
       "      <td>00-0033387</td>\n",
       "      <td>J.Hollister</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45543</td>\n",
       "      <td>3999</td>\n",
       "      <td>2019122915</td>\n",
       "      <td>SEA</td>\n",
       "      <td>SF</td>\n",
       "      <td>SEA</td>\n",
       "      <td>home</td>\n",
       "      <td>SF</td>\n",
       "      <td>SF</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Half2</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:12</td>\n",
       "      <td>SF 5</td>\n",
       "      <td>5</td>\n",
       "      <td>72</td>\n",
       "      <td>(:12) (Shotgun) R.Wilson pass short middle to ...</td>\n",
       "      <td>pass</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>short</td>\n",
       "      <td>middle</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>21</td>\n",
       "      <td>26</td>\n",
       "      <td>21.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>0.206216</td>\n",
       "      <td>0.008679</td>\n",
       "      <td>0.000180</td>\n",
       "      <td>0.005227</td>\n",
       "      <td>0.713258</td>\n",
       "      <td>0.000800</td>\n",
       "      <td>0.065640</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.537869</td>\n",
       "      <td>-2.636491</td>\n",
       "      <td>-6.612802</td>\n",
       "      <td>6.612802</td>\n",
       "      <td>-6.785425</td>\n",
       "      <td>6.785425</td>\n",
       "      <td>-2.904049</td>\n",
       "      <td>2.904049</td>\n",
       "      <td>-2.636491</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-2.636491</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.611044</td>\n",
       "      <td>-2.611044</td>\n",
       "      <td>0.817163</td>\n",
       "      <td>-0.817163</td>\n",
       "      <td>24.185602</td>\n",
       "      <td>-24.185602</td>\n",
       "      <td>-28.263795</td>\n",
       "      <td>28.263795</td>\n",
       "      <td>0.026141</td>\n",
       "      <td>0.973859</td>\n",
       "      <td>0.026141</td>\n",
       "      <td>0.973859</td>\n",
       "      <td>0.010686</td>\n",
       "      <td>0.036827</td>\n",
       "      <td>0.963173</td>\n",
       "      <td>-0.263874</td>\n",
       "      <td>0.263874</td>\n",
       "      <td>0.009326</td>\n",
       "      <td>-0.009326</td>\n",
       "      <td>0.010686</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010686</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.719304</td>\n",
       "      <td>-0.719304</td>\n",
       "      <td>-0.053939</td>\n",
       "      <td>0.053939</td>\n",
       "      <td>4.175654</td>\n",
       "      <td>-4.175654</td>\n",
       "      <td>-4.219298</td>\n",
       "      <td>4.219298</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00-0029263</td>\n",
       "      <td>R.Wilson</td>\n",
       "      <td>00-0033387</td>\n",
       "      <td>J.Hollister</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0034982</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D.Greenlaw</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>upheld</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45544</td>\n",
       "      <td>4080</td>\n",
       "      <td>2019122915</td>\n",
       "      <td>SEA</td>\n",
       "      <td>SF</td>\n",
       "      <td>SF</td>\n",
       "      <td>away</td>\n",
       "      <td>SEA</td>\n",
       "      <td>SF</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Half2</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00:09</td>\n",
       "      <td>SF 1</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>(:09) J.Garoppolo up the middle to SF 3 for 2 ...</td>\n",
       "      <td>run</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>middle</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>26</td>\n",
       "      <td>26.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.814185</td>\n",
       "      <td>0.044958</td>\n",
       "      <td>0.009874</td>\n",
       "      <td>0.032654</td>\n",
       "      <td>0.051277</td>\n",
       "      <td>0.000275</td>\n",
       "      <td>0.046777</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.098622</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-6.612802</td>\n",
       "      <td>6.612802</td>\n",
       "      <td>-6.785425</td>\n",
       "      <td>6.785425</td>\n",
       "      <td>-2.904049</td>\n",
       "      <td>2.904049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.611044</td>\n",
       "      <td>-2.611044</td>\n",
       "      <td>0.817163</td>\n",
       "      <td>-0.817163</td>\n",
       "      <td>24.185602</td>\n",
       "      <td>-24.185602</td>\n",
       "      <td>-28.263795</td>\n",
       "      <td>28.263795</td>\n",
       "      <td>0.963173</td>\n",
       "      <td>0.036827</td>\n",
       "      <td>0.036827</td>\n",
       "      <td>0.963173</td>\n",
       "      <td>0.036827</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.300701</td>\n",
       "      <td>0.300701</td>\n",
       "      <td>0.009326</td>\n",
       "      <td>-0.009326</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.719304</td>\n",
       "      <td>-0.719304</td>\n",
       "      <td>-0.053939</td>\n",
       "      <td>0.053939</td>\n",
       "      <td>4.175654</td>\n",
       "      <td>-4.175654</td>\n",
       "      <td>-4.219298</td>\n",
       "      <td>4.219298</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0031345</td>\n",
       "      <td>J.Garoppolo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SEA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00-0034831</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R.Green</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45545</td>\n",
       "      <td>4101</td>\n",
       "      <td>2019122915</td>\n",
       "      <td>SEA</td>\n",
       "      <td>SF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Half2</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00:00</td>\n",
       "      <td>SF 1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>END GAME</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21</td>\n",
       "      <td>26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>-6.612802</td>\n",
       "      <td>6.612802</td>\n",
       "      <td>-6.785425</td>\n",
       "      <td>6.785425</td>\n",
       "      <td>-2.904049</td>\n",
       "      <td>2.904049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.611044</td>\n",
       "      <td>-2.611044</td>\n",
       "      <td>0.817163</td>\n",
       "      <td>-0.817163</td>\n",
       "      <td>24.185602</td>\n",
       "      <td>-24.185602</td>\n",
       "      <td>-28.263795</td>\n",
       "      <td>28.263795</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.300701</td>\n",
       "      <td>0.300701</td>\n",
       "      <td>0.009326</td>\n",
       "      <td>-0.009326</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.719304</td>\n",
       "      <td>-0.719304</td>\n",
       "      <td>-0.053939</td>\n",
       "      <td>0.053939</td>\n",
       "      <td>4.175654</td>\n",
       "      <td>-4.175654</td>\n",
       "      <td>-4.219298</td>\n",
       "      <td>4.219298</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45546 rows × 256 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       play_id     game_id home_team away_team posteam posteam_type defteam  \\\n",
       "0           35  2019090500       CHI        GB      GB         away     CHI   \n",
       "1           50  2019090500       CHI        GB      GB         away     CHI   \n",
       "2           71  2019090500       CHI        GB      GB         away     CHI   \n",
       "3           95  2019090500       CHI        GB      GB         away     CHI   \n",
       "4          125  2019090500       CHI        GB      GB         away     CHI   \n",
       "...        ...         ...       ...       ...     ...          ...     ...   \n",
       "45541     3955  2019122915       SEA        SF     SEA         home      SF   \n",
       "45542     3977  2019122915       SEA        SF     SEA         home      SF   \n",
       "45543     3999  2019122915       SEA        SF     SEA         home      SF   \n",
       "45544     4080  2019122915       SEA        SF      SF         away     SEA   \n",
       "45545     4101  2019122915       SEA        SF     NaN          NaN     NaN   \n",
       "\n",
       "      side_of_field  yardline_100   game_date  quarter_seconds_remaining  \\\n",
       "0               CHI          35.0  2019-09-05                      900.0   \n",
       "1                GB          75.0  2019-09-05                      900.0   \n",
       "2                GB          75.0  2019-09-05                      873.0   \n",
       "3                GB          75.0  2019-09-05                      825.0   \n",
       "4                GB          85.0  2019-09-05                      795.0   \n",
       "...             ...           ...         ...                        ...   \n",
       "45541            SF           5.0  2019-12-29                       22.0   \n",
       "45542            SF           5.0  2019-12-29                       15.0   \n",
       "45543            SF           5.0  2019-12-29                       12.0   \n",
       "45544            SF          99.0  2019-12-29                        9.0   \n",
       "45545            SF           NaN  2019-12-29                        0.0   \n",
       "\n",
       "       half_seconds_remaining  game_seconds_remaining game_half  quarter_end  \\\n",
       "0                      1800.0                  3600.0     Half1            0   \n",
       "1                      1800.0                  3600.0     Half1            0   \n",
       "2                      1773.0                  3573.0     Half1            0   \n",
       "3                      1725.0                  3525.0     Half1            0   \n",
       "4                      1695.0                  3495.0     Half1            0   \n",
       "...                       ...                     ...       ...          ...   \n",
       "45541                    22.0                    22.0     Half2            0   \n",
       "45542                    15.0                    15.0     Half2            0   \n",
       "45543                    12.0                    12.0     Half2            0   \n",
       "45544                     9.0                     9.0     Half2            0   \n",
       "45545                     0.0                     0.0     Half2            1   \n",
       "\n",
       "       drive  sp  qtr  down  goal_to_go   time   yrdln  ydstogo  ydsnet  \\\n",
       "0          1   0    1   NaN         0.0  15:00  CHI 35        0     -10   \n",
       "1          1   0    1   1.0         0.0  15:00   GB 25       10     -10   \n",
       "2          1   0    1   2.0         0.0  14:33   GB 25       10     -10   \n",
       "3          1   0    1   3.0         0.0  13:45   GB 25       10     -10   \n",
       "4          1   0    1   4.0         0.0  13:15   GB 15       20     -10   \n",
       "...      ...  ..  ...   ...         ...    ...     ...      ...     ...   \n",
       "45541     16   0    4   2.0         1.0  00:22    SF 5        5      72   \n",
       "45542     16   0    4   3.0         1.0  00:15    SF 5        5      72   \n",
       "45543     16   0    4   4.0         1.0  00:12    SF 5        5      72   \n",
       "45544     17   0    4   1.0         0.0  00:09    SF 1       10       2   \n",
       "45545     17   0    4   NaN         NaN  00:00    SF 1        0       2   \n",
       "\n",
       "                                                    desc play_type  \\\n",
       "0      E.Pineiro kicks 65 yards from CHI 35 to end zo...   kickoff   \n",
       "1      (15:00) A.Jones left tackle to GB 25 for no ga...       run   \n",
       "2      (14:33) A.Rodgers pass short left to A.Jones t...      pass   \n",
       "3      (13:45) (Shotgun) A.Rodgers sacked at GB 15 fo...      pass   \n",
       "4      (13:15) (Punt formation) J.Scott punts 53 yard...      punt   \n",
       "...                                                  ...       ...   \n",
       "45541  (:22) (Shotgun) R.Wilson pass incomplete short...      pass   \n",
       "45542  (:15) (Shotgun) R.Wilson pass incomplete short...      pass   \n",
       "45543  (:12) (Shotgun) R.Wilson pass short middle to ...      pass   \n",
       "45544  (:09) J.Garoppolo up the middle to SF 3 for 2 ...       run   \n",
       "45545                                           END GAME       NaN   \n",
       "\n",
       "       yards_gained  shotgun  no_huddle  qb_dropback  qb_kneel  qb_spike  \\\n",
       "0                 0        0          0          0.0         0         0   \n",
       "1                 0        0          0          0.0         0         0   \n",
       "2                 0        0          0          1.0         0         0   \n",
       "3               -10        1          0          1.0         0         0   \n",
       "4                 0        0          0          0.0         0         0   \n",
       "...             ...      ...        ...          ...       ...       ...   \n",
       "45541             0        1          0          1.0         0         0   \n",
       "45542             0        1          0          1.0         0         0   \n",
       "45543             4        1          0          1.0         0         0   \n",
       "45544             2        0          0          0.0         0         0   \n",
       "45545             0        0          0          NaN         0         0   \n",
       "\n",
       "       qb_scramble pass_length pass_location  air_yards  yards_after_catch  \\\n",
       "0                0         NaN           NaN        NaN                NaN   \n",
       "1                0         NaN           NaN        NaN                NaN   \n",
       "2                0       short          left       -1.0                1.0   \n",
       "3                0         NaN           NaN        NaN                NaN   \n",
       "4                0         NaN           NaN        NaN                NaN   \n",
       "...            ...         ...           ...        ...                ...   \n",
       "45541            0       short          left        5.0                NaN   \n",
       "45542            0       short        middle        5.0                NaN   \n",
       "45543            0       short        middle        4.0                0.0   \n",
       "45544            0         NaN           NaN        NaN                NaN   \n",
       "45545            0         NaN           NaN        NaN                NaN   \n",
       "\n",
       "      run_location run_gap field_goal_result  kick_distance  \\\n",
       "0              NaN     NaN               NaN            NaN   \n",
       "1             left  tackle               NaN            NaN   \n",
       "2              NaN     NaN               NaN            NaN   \n",
       "3              NaN     NaN               NaN            NaN   \n",
       "4              NaN     NaN               NaN           53.0   \n",
       "...            ...     ...               ...            ...   \n",
       "45541          NaN     NaN               NaN            NaN   \n",
       "45542          NaN     NaN               NaN            NaN   \n",
       "45543          NaN     NaN               NaN            NaN   \n",
       "45544       middle     NaN               NaN            NaN   \n",
       "45545          NaN     NaN               NaN            NaN   \n",
       "\n",
       "      extra_point_result two_point_conv_result  home_timeouts_remaining  \\\n",
       "0                    NaN                   NaN                        3   \n",
       "1                    NaN                   NaN                        3   \n",
       "2                    NaN                   NaN                        3   \n",
       "3                    NaN                   NaN                        3   \n",
       "4                    NaN                   NaN                        3   \n",
       "...                  ...                   ...                      ...   \n",
       "45541                NaN                   NaN                        0   \n",
       "45542                NaN                   NaN                        0   \n",
       "45543                NaN                   NaN                        0   \n",
       "45544                NaN                   NaN                        0   \n",
       "45545                NaN                   NaN                        0   \n",
       "\n",
       "       away_timeouts_remaining  timeout timeout_team td_team  \\\n",
       "0                            3      0.0          NaN     NaN   \n",
       "1                            3      0.0          NaN     NaN   \n",
       "2                            3      0.0          NaN     NaN   \n",
       "3                            3      0.0          NaN     NaN   \n",
       "4                            3      0.0          NaN     NaN   \n",
       "...                        ...      ...          ...     ...   \n",
       "45541                        1      0.0          NaN     NaN   \n",
       "45542                        1      0.0          NaN     NaN   \n",
       "45543                        1      0.0          NaN     NaN   \n",
       "45544                        1      0.0          NaN     NaN   \n",
       "45545                        1      NaN          NaN     NaN   \n",
       "\n",
       "       posteam_timeouts_remaining  defteam_timeouts_remaining  \\\n",
       "0                             3.0                         3.0   \n",
       "1                             3.0                         3.0   \n",
       "2                             3.0                         3.0   \n",
       "3                             3.0                         3.0   \n",
       "4                             3.0                         3.0   \n",
       "...                           ...                         ...   \n",
       "45541                         0.0                         1.0   \n",
       "45542                         0.0                         1.0   \n",
       "45543                         0.0                         1.0   \n",
       "45544                         1.0                         0.0   \n",
       "45545                         NaN                         NaN   \n",
       "\n",
       "       total_home_score  total_away_score  posteam_score  defteam_score  \\\n",
       "0                     0                 0            NaN            NaN   \n",
       "1                     0                 0            0.0            0.0   \n",
       "2                     0                 0            0.0            0.0   \n",
       "3                     0                 0            0.0            0.0   \n",
       "4                     0                 0            0.0            0.0   \n",
       "...                 ...               ...            ...            ...   \n",
       "45541                21                26           21.0           26.0   \n",
       "45542                21                26           21.0           26.0   \n",
       "45543                21                26           21.0           26.0   \n",
       "45544                21                26           26.0           21.0   \n",
       "45545                21                26            NaN            NaN   \n",
       "\n",
       "       score_differential  posteam_score_post  defteam_score_post  \\\n",
       "0                     NaN                 0.0                 0.0   \n",
       "1                     0.0                 0.0                 0.0   \n",
       "2                     0.0                 0.0                 0.0   \n",
       "3                     0.0                 0.0                 0.0   \n",
       "4                     0.0                 0.0                 0.0   \n",
       "...                   ...                 ...                 ...   \n",
       "45541                -5.0                21.0                26.0   \n",
       "45542                -5.0                21.0                26.0   \n",
       "45543                -5.0                21.0                26.0   \n",
       "45544                 5.0                26.0                21.0   \n",
       "45545                 NaN                 NaN                 NaN   \n",
       "\n",
       "       score_differential_post  no_score_prob  opp_fg_prob  opp_safety_prob  \\\n",
       "0                          0.0       0.001374     0.162632         0.004441   \n",
       "1                          0.0       0.001374     0.162632         0.004441   \n",
       "2                          0.0       0.001569     0.188484         0.005696   \n",
       "3                          0.0       0.001863     0.226273         0.006642   \n",
       "4                          0.0       0.002114     0.327285         0.010957   \n",
       "...                        ...            ...          ...              ...   \n",
       "45541                     -5.0       0.174034     0.008484         0.000037   \n",
       "45542                     -5.0       0.197189     0.009679         0.000068   \n",
       "45543                     -5.0       0.206216     0.008679         0.000180   \n",
       "45544                      5.0       0.814185     0.044958         0.009874   \n",
       "45545                      NaN       0.000000     0.000000         0.000000   \n",
       "\n",
       "       opp_td_prob   fg_prob  safety_prob   td_prob  extra_point_prob  \\\n",
       "0         0.254179  0.233081     0.003656  0.340639               0.0   \n",
       "1         0.254179  0.233081     0.003656  0.340639               0.0   \n",
       "2         0.295010  0.213057     0.003982  0.292202               0.0   \n",
       "3         0.349574  0.171216     0.004530  0.239902               0.0   \n",
       "4         0.466627  0.054465     0.004293  0.134258               0.0   \n",
       "...            ...       ...          ...       ...               ...   \n",
       "45541     0.004921  0.378260     0.000657  0.433607               0.0   \n",
       "45542     0.005978  0.496176     0.000792  0.290118               0.0   \n",
       "45543     0.005227  0.713258     0.000800  0.065640               0.0   \n",
       "45544     0.032654  0.051277     0.000275  0.046777               0.0   \n",
       "45545     0.000000  0.000000     0.000000  0.000000               0.0   \n",
       "\n",
       "       two_point_conversion_prob        ep       epa  total_home_epa  \\\n",
       "0                            0.0  0.814998  0.000000        0.000000   \n",
       "1                            0.0  0.814998 -0.764363        0.764363   \n",
       "2                            0.0  0.050636 -0.987734        1.752097   \n",
       "3                            0.0 -0.937099 -2.221273        3.973370   \n",
       "4                            0.0 -3.158372  0.714739        3.258631   \n",
       "...                          ...       ...       ...             ...   \n",
       "45541                        0.0  4.111364 -0.661444       -3.064260   \n",
       "45542                        0.0  3.449920 -0.912051       -3.976311   \n",
       "45543                        0.0  2.537869 -2.636491       -6.612802   \n",
       "45544                        0.0  0.098622       NaN       -6.612802   \n",
       "45545                        0.0       NaN       NaN       -6.612802   \n",
       "\n",
       "       total_away_epa  total_home_rush_epa  total_away_rush_epa  \\\n",
       "0            0.000000             0.000000             0.000000   \n",
       "1           -0.764363             0.764363            -0.764363   \n",
       "2           -1.752097             0.764363            -0.764363   \n",
       "3           -3.973370             0.764363            -0.764363   \n",
       "4           -3.258631             0.764363            -0.764363   \n",
       "...               ...                  ...                  ...   \n",
       "45541        3.064260            -6.785425             6.785425   \n",
       "45542        3.976311            -6.785425             6.785425   \n",
       "45543        6.612802            -6.785425             6.785425   \n",
       "45544        6.612802            -6.785425             6.785425   \n",
       "45545        6.612802            -6.785425             6.785425   \n",
       "\n",
       "       total_home_pass_epa  total_away_pass_epa   air_epa   yac_epa  \\\n",
       "0                 0.000000             0.000000       NaN       NaN   \n",
       "1                 0.000000             0.000000       NaN       NaN   \n",
       "2                 0.987734            -0.987734 -1.095212  0.107477   \n",
       "3                 3.209007            -3.209007       NaN       NaN   \n",
       "4                 3.209007            -3.209007       NaN       NaN   \n",
       "...                    ...                  ...       ...       ...   \n",
       "45541             0.644493            -0.644493  2.888636 -3.550080   \n",
       "45542            -0.267558             0.267558  3.550080 -4.462131   \n",
       "45543            -2.904049             2.904049 -2.636491  0.000000   \n",
       "45544            -2.904049             2.904049       NaN       NaN   \n",
       "45545            -2.904049             2.904049       NaN       NaN   \n",
       "\n",
       "       comp_air_epa  comp_yac_epa  total_home_comp_air_epa  \\\n",
       "0          0.000000      0.000000                 0.000000   \n",
       "1          0.000000      0.000000                 0.000000   \n",
       "2         -1.095212      0.107477                 1.095212   \n",
       "3          0.000000      0.000000                 1.095212   \n",
       "4          0.000000      0.000000                 1.095212   \n",
       "...             ...           ...                      ...   \n",
       "45541      0.000000      0.000000                 5.247535   \n",
       "45542      0.000000      0.000000                 5.247535   \n",
       "45543     -2.636491      0.000000                 2.611044   \n",
       "45544      0.000000      0.000000                 2.611044   \n",
       "45545           NaN           NaN                 2.611044   \n",
       "\n",
       "       total_away_comp_air_epa  total_home_comp_yac_epa  \\\n",
       "0                     0.000000                 0.000000   \n",
       "1                     0.000000                 0.000000   \n",
       "2                    -1.095212                -0.107477   \n",
       "3                    -1.095212                -0.107477   \n",
       "4                    -1.095212                -0.107477   \n",
       "...                        ...                      ...   \n",
       "45541                -5.247535                 0.817163   \n",
       "45542                -5.247535                 0.817163   \n",
       "45543                -2.611044                 0.817163   \n",
       "45544                -2.611044                 0.817163   \n",
       "45545                -2.611044                 0.817163   \n",
       "\n",
       "       total_away_comp_yac_epa  total_home_raw_air_epa  \\\n",
       "0                     0.000000                0.000000   \n",
       "1                     0.000000                0.000000   \n",
       "2                     0.107477                1.095212   \n",
       "3                     0.107477                1.095212   \n",
       "4                     0.107477                1.095212   \n",
       "...                        ...                     ...   \n",
       "45541                -0.817163               23.272013   \n",
       "45542                -0.817163               26.822093   \n",
       "45543                -0.817163               24.185602   \n",
       "45544                -0.817163               24.185602   \n",
       "45545                -0.817163               24.185602   \n",
       "\n",
       "       total_away_raw_air_epa  total_home_raw_yac_epa  total_away_raw_yac_epa  \\\n",
       "0                    0.000000                0.000000                0.000000   \n",
       "1                    0.000000                0.000000                0.000000   \n",
       "2                   -1.095212               -0.107477                0.107477   \n",
       "3                   -1.095212               -0.107477                0.107477   \n",
       "4                   -1.095212               -0.107477                0.107477   \n",
       "...                       ...                     ...                     ...   \n",
       "45541              -23.272013              -23.801664               23.801664   \n",
       "45542              -26.822093              -28.263795               28.263795   \n",
       "45543              -24.185602              -28.263795               28.263795   \n",
       "45544              -24.185602              -28.263795               28.263795   \n",
       "45545              -24.185602              -28.263795               28.263795   \n",
       "\n",
       "             wp    def_wp   home_wp   away_wp       wpa  home_wp_post  \\\n",
       "0           NaN       NaN       NaN       NaN       NaN           NaN   \n",
       "1      0.500007  0.499993  0.499993  0.500007 -0.020660      0.520654   \n",
       "2      0.479346  0.520654  0.520654  0.479346 -0.026088      0.546742   \n",
       "3      0.453258  0.546742  0.546742  0.453258 -0.066931      0.613673   \n",
       "4      0.386327  0.613673  0.613673  0.386327  0.057563      0.556110   \n",
       "...         ...       ...       ...       ...       ...           ...   \n",
       "45541  0.235896  0.764104  0.235896  0.764104 -0.167196      0.068701   \n",
       "45542  0.068701  0.931299  0.068701  0.931299 -0.042559      0.026141   \n",
       "45543  0.026141  0.973859  0.026141  0.973859  0.010686      0.036827   \n",
       "45544  0.963173  0.036827  0.036827  0.963173  0.036827      0.000000   \n",
       "45545       NaN       NaN  0.000000  1.000000  0.000000      0.000000   \n",
       "\n",
       "       away_wp_post  total_home_rush_wpa  total_away_rush_wpa  \\\n",
       "0               NaN             0.000000             0.000000   \n",
       "1          0.479346             0.020660            -0.020660   \n",
       "2          0.453258             0.020660            -0.020660   \n",
       "3          0.386327             0.020660            -0.020660   \n",
       "4          0.443890             0.020660            -0.020660   \n",
       "...             ...                  ...                  ...   \n",
       "45541      0.931299            -0.263874             0.263874   \n",
       "45542      0.973859            -0.263874             0.263874   \n",
       "45543      0.963173            -0.263874             0.263874   \n",
       "45544      1.000000            -0.300701             0.300701   \n",
       "45545      1.000000            -0.300701             0.300701   \n",
       "\n",
       "       total_home_pass_wpa  total_away_pass_wpa   air_wpa   yac_wpa  \\\n",
       "0                 0.000000             0.000000       NaN       NaN   \n",
       "1                 0.000000             0.000000       NaN       NaN   \n",
       "2                 0.026088            -0.026088 -0.031647  0.005559   \n",
       "3                 0.093020            -0.093020       NaN       NaN   \n",
       "4                 0.093020            -0.093020       NaN       NaN   \n",
       "...                    ...                  ...       ...       ...   \n",
       "45541             0.041199            -0.041199  0.702366 -0.869562   \n",
       "45542            -0.001360             0.001360  0.899287 -0.941846   \n",
       "45543             0.009326            -0.009326  0.010686  0.000000   \n",
       "45544             0.009326            -0.009326       NaN       NaN   \n",
       "45545             0.009326            -0.009326       NaN       NaN   \n",
       "\n",
       "       comp_air_wpa  comp_yac_wpa  total_home_comp_air_wpa  \\\n",
       "0          0.000000      0.000000                 0.000000   \n",
       "1          0.000000      0.000000                 0.000000   \n",
       "2         -0.031647      0.005559                 0.031647   \n",
       "3          0.000000      0.000000                 0.031647   \n",
       "4          0.000000      0.000000                 0.031647   \n",
       "...             ...           ...                      ...   \n",
       "45541      0.000000      0.000000                 0.708619   \n",
       "45542      0.000000      0.000000                 0.708619   \n",
       "45543      0.010686      0.000000                 0.719304   \n",
       "45544      0.000000      0.000000                 0.719304   \n",
       "45545           NaN           NaN                 0.719304   \n",
       "\n",
       "       total_away_comp_air_wpa  total_home_comp_yac_wpa  \\\n",
       "0                     0.000000                 0.000000   \n",
       "1                     0.000000                 0.000000   \n",
       "2                    -0.031647                -0.005559   \n",
       "3                    -0.031647                -0.005559   \n",
       "4                    -0.031647                -0.005559   \n",
       "...                        ...                      ...   \n",
       "45541                -0.708619                -0.053939   \n",
       "45542                -0.708619                -0.053939   \n",
       "45543                -0.719304                -0.053939   \n",
       "45544                -0.719304                -0.053939   \n",
       "45545                -0.719304                -0.053939   \n",
       "\n",
       "       total_away_comp_yac_wpa  total_home_raw_air_wpa  \\\n",
       "0                     0.000000                0.000000   \n",
       "1                     0.000000                0.000000   \n",
       "2                     0.005559                0.031647   \n",
       "3                     0.005559                0.031647   \n",
       "4                     0.005559                0.031647   \n",
       "...                        ...                     ...   \n",
       "45541                 0.053939                3.265681   \n",
       "45542                 0.053939                4.164968   \n",
       "45543                 0.053939                4.175654   \n",
       "45544                 0.053939                4.175654   \n",
       "45545                 0.053939                4.175654   \n",
       "\n",
       "       total_away_raw_air_wpa  total_home_raw_yac_wpa  total_away_raw_yac_wpa  \\\n",
       "0                    0.000000                0.000000                0.000000   \n",
       "1                    0.000000                0.000000                0.000000   \n",
       "2                   -0.031647               -0.005559                0.005559   \n",
       "3                   -0.031647               -0.005559                0.005559   \n",
       "4                   -0.031647               -0.005559                0.005559   \n",
       "...                       ...                     ...                     ...   \n",
       "45541               -3.265681               -3.277452                3.277452   \n",
       "45542               -4.164968               -4.219298                4.219298   \n",
       "45543               -4.175654               -4.219298                4.219298   \n",
       "45544               -4.175654               -4.219298                4.219298   \n",
       "45545               -4.175654               -4.219298                4.219298   \n",
       "\n",
       "       punt_blocked  first_down_rush  first_down_pass  first_down_penalty  \\\n",
       "0               0.0              0.0              0.0                 0.0   \n",
       "1               0.0              0.0              0.0                 0.0   \n",
       "2               0.0              0.0              0.0                 0.0   \n",
       "3               0.0              0.0              0.0                 0.0   \n",
       "4               0.0              0.0              0.0                 0.0   \n",
       "...             ...              ...              ...                 ...   \n",
       "45541           0.0              0.0              0.0                 0.0   \n",
       "45542           0.0              0.0              0.0                 0.0   \n",
       "45543           0.0              0.0              0.0                 0.0   \n",
       "45544           0.0              0.0              0.0                 0.0   \n",
       "45545           NaN              NaN              NaN                 NaN   \n",
       "\n",
       "       third_down_converted  third_down_failed  fourth_down_converted  \\\n",
       "0                       0.0                0.0                    0.0   \n",
       "1                       0.0                0.0                    0.0   \n",
       "2                       0.0                0.0                    0.0   \n",
       "3                       0.0                1.0                    0.0   \n",
       "4                       0.0                0.0                    0.0   \n",
       "...                     ...                ...                    ...   \n",
       "45541                   0.0                0.0                    0.0   \n",
       "45542                   0.0                1.0                    0.0   \n",
       "45543                   0.0                0.0                    0.0   \n",
       "45544                   0.0                0.0                    0.0   \n",
       "45545                   NaN                NaN                    NaN   \n",
       "\n",
       "       fourth_down_failed  incomplete_pass  touchback  interception  \\\n",
       "0                     0.0              0.0          1           0.0   \n",
       "1                     0.0              0.0          0           0.0   \n",
       "2                     0.0              0.0          0           0.0   \n",
       "3                     0.0              0.0          0           0.0   \n",
       "4                     0.0              0.0          0           0.0   \n",
       "...                   ...              ...        ...           ...   \n",
       "45541                 0.0              1.0          0           0.0   \n",
       "45542                 0.0              1.0          0           0.0   \n",
       "45543                 1.0              0.0          0           0.0   \n",
       "45544                 0.0              0.0          0           0.0   \n",
       "45545                 NaN              NaN          0           NaN   \n",
       "\n",
       "       punt_inside_twenty  punt_in_endzone  punt_out_of_bounds  punt_downed  \\\n",
       "0                     0.0              0.0                 0.0          0.0   \n",
       "1                     0.0              0.0                 0.0          0.0   \n",
       "2                     0.0              0.0                 0.0          0.0   \n",
       "3                     0.0              0.0                 0.0          0.0   \n",
       "4                     0.0              0.0                 0.0          0.0   \n",
       "...                   ...              ...                 ...          ...   \n",
       "45541                 0.0              0.0                 0.0          0.0   \n",
       "45542                 0.0              0.0                 0.0          0.0   \n",
       "45543                 0.0              0.0                 0.0          0.0   \n",
       "45544                 0.0              0.0                 0.0          0.0   \n",
       "45545                 NaN              NaN                 NaN          NaN   \n",
       "\n",
       "       punt_fair_catch  kickoff_inside_twenty  kickoff_in_endzone  \\\n",
       "0                  0.0                    0.0                 0.0   \n",
       "1                  0.0                    0.0                 0.0   \n",
       "2                  0.0                    0.0                 0.0   \n",
       "3                  0.0                    0.0                 0.0   \n",
       "4                  0.0                    0.0                 0.0   \n",
       "...                ...                    ...                 ...   \n",
       "45541              0.0                    0.0                 0.0   \n",
       "45542              0.0                    0.0                 0.0   \n",
       "45543              0.0                    0.0                 0.0   \n",
       "45544              0.0                    0.0                 0.0   \n",
       "45545              NaN                    NaN                 NaN   \n",
       "\n",
       "       kickoff_out_of_bounds  kickoff_downed  kickoff_fair_catch  \\\n",
       "0                        0.0             0.0                 0.0   \n",
       "1                        0.0             0.0                 0.0   \n",
       "2                        0.0             0.0                 0.0   \n",
       "3                        0.0             0.0                 0.0   \n",
       "4                        0.0             0.0                 0.0   \n",
       "...                      ...             ...                 ...   \n",
       "45541                    0.0             0.0                 0.0   \n",
       "45542                    0.0             0.0                 0.0   \n",
       "45543                    0.0             0.0                 0.0   \n",
       "45544                    0.0             0.0                 0.0   \n",
       "45545                    NaN             NaN                 NaN   \n",
       "\n",
       "       fumble_forced  fumble_not_forced  fumble_out_of_bounds  solo_tackle  \\\n",
       "0                0.0                0.0                   0.0          0.0   \n",
       "1                0.0                0.0                   0.0          1.0   \n",
       "2                0.0                0.0                   0.0          1.0   \n",
       "3                0.0                0.0                   0.0          1.0   \n",
       "4                0.0                0.0                   0.0          1.0   \n",
       "...              ...                ...                   ...          ...   \n",
       "45541            0.0                0.0                   0.0          0.0   \n",
       "45542            0.0                0.0                   0.0          0.0   \n",
       "45543            0.0                0.0                   0.0          1.0   \n",
       "45544            0.0                0.0                   0.0          1.0   \n",
       "45545            NaN                NaN                   NaN          NaN   \n",
       "\n",
       "       safety  penalty  tackled_for_loss  fumble_lost  own_kickoff_recovery  \\\n",
       "0         0.0      0.0               0.0          0.0                   0.0   \n",
       "1         0.0      0.0               0.0          0.0                   0.0   \n",
       "2         0.0      0.0               0.0          0.0                   0.0   \n",
       "3         0.0      0.0               0.0          0.0                   0.0   \n",
       "4         0.0      0.0               0.0          0.0                   0.0   \n",
       "...       ...      ...               ...          ...                   ...   \n",
       "45541     0.0      0.0               0.0          0.0                   0.0   \n",
       "45542     0.0      0.0               0.0          0.0                   0.0   \n",
       "45543     0.0      0.0               0.0          0.0                   0.0   \n",
       "45544     0.0      0.0               0.0          0.0                   0.0   \n",
       "45545     NaN      NaN               NaN          NaN                   NaN   \n",
       "\n",
       "       own_kickoff_recovery_td  qb_hit  rush_attempt  pass_attempt  sack  \\\n",
       "0                          0.0     0.0           0.0           0.0   0.0   \n",
       "1                          0.0     0.0           1.0           0.0   0.0   \n",
       "2                          0.0     0.0           0.0           1.0   0.0   \n",
       "3                          0.0     1.0           0.0           1.0   1.0   \n",
       "4                          0.0     0.0           0.0           0.0   0.0   \n",
       "...                        ...     ...           ...           ...   ...   \n",
       "45541                      0.0     1.0           0.0           1.0   0.0   \n",
       "45542                      0.0     0.0           0.0           1.0   0.0   \n",
       "45543                      0.0     0.0           0.0           1.0   0.0   \n",
       "45544                      0.0     0.0           1.0           0.0   0.0   \n",
       "45545                      NaN     NaN           NaN           NaN   NaN   \n",
       "\n",
       "       touchdown  pass_touchdown  rush_touchdown  return_touchdown  \\\n",
       "0            0.0             0.0             0.0               0.0   \n",
       "1            0.0             0.0             0.0               0.0   \n",
       "2            0.0             0.0             0.0               0.0   \n",
       "3            0.0             0.0             0.0               0.0   \n",
       "4            0.0             0.0             0.0               0.0   \n",
       "...          ...             ...             ...               ...   \n",
       "45541        0.0             0.0             0.0               0.0   \n",
       "45542        0.0             0.0             0.0               0.0   \n",
       "45543        0.0             0.0             0.0               0.0   \n",
       "45544        0.0             0.0             0.0               0.0   \n",
       "45545        NaN             NaN             NaN               NaN   \n",
       "\n",
       "       extra_point_attempt  two_point_attempt  field_goal_attempt  \\\n",
       "0                      0.0                0.0                 0.0   \n",
       "1                      0.0                0.0                 0.0   \n",
       "2                      0.0                0.0                 0.0   \n",
       "3                      0.0                0.0                 0.0   \n",
       "4                      0.0                0.0                 0.0   \n",
       "...                    ...                ...                 ...   \n",
       "45541                  0.0                0.0                 0.0   \n",
       "45542                  0.0                0.0                 0.0   \n",
       "45543                  0.0                0.0                 0.0   \n",
       "45544                  0.0                0.0                 0.0   \n",
       "45545                  NaN                NaN                 NaN   \n",
       "\n",
       "       kickoff_attempt  punt_attempt  fumble  complete_pass  assist_tackle  \\\n",
       "0                  1.0           0.0     0.0            0.0            0.0   \n",
       "1                  0.0           0.0     0.0            0.0            0.0   \n",
       "2                  0.0           0.0     0.0            1.0            0.0   \n",
       "3                  0.0           0.0     0.0            0.0            0.0   \n",
       "4                  0.0           1.0     0.0            0.0            0.0   \n",
       "...                ...           ...     ...            ...            ...   \n",
       "45541              0.0           0.0     0.0            0.0            0.0   \n",
       "45542              0.0           0.0     0.0            0.0            0.0   \n",
       "45543              0.0           0.0     0.0            1.0            0.0   \n",
       "45544              0.0           0.0     0.0            0.0            0.0   \n",
       "45545              NaN           NaN     NaN            NaN            NaN   \n",
       "\n",
       "       lateral_reception  lateral_rush  lateral_return  lateral_recovery  \\\n",
       "0                    0.0           0.0             0.0               0.0   \n",
       "1                    0.0           0.0             0.0               0.0   \n",
       "2                    0.0           0.0             0.0               0.0   \n",
       "3                    0.0           0.0             0.0               0.0   \n",
       "4                    0.0           0.0             0.0               0.0   \n",
       "...                  ...           ...             ...               ...   \n",
       "45541                0.0           0.0             0.0               0.0   \n",
       "45542                0.0           0.0             0.0               0.0   \n",
       "45543                0.0           0.0             0.0               0.0   \n",
       "45544                0.0           0.0             0.0               0.0   \n",
       "45545                NaN           NaN             NaN               NaN   \n",
       "\n",
       "      passer_player_id passer_player_name receiver_player_id  \\\n",
       "0                  NaN                NaN                NaN   \n",
       "1                  NaN                NaN                NaN   \n",
       "2           00-0023459          A.Rodgers         00-0033293   \n",
       "3           00-0023459          A.Rodgers                NaN   \n",
       "4                  NaN                NaN                NaN   \n",
       "...                ...                ...                ...   \n",
       "45541       00-0029263           R.Wilson         00-0032211   \n",
       "45542       00-0029263           R.Wilson         00-0033387   \n",
       "45543       00-0029263           R.Wilson         00-0033387   \n",
       "45544              NaN                NaN                NaN   \n",
       "45545              NaN                NaN                NaN   \n",
       "\n",
       "      receiver_player_name rusher_player_id rusher_player_name  \\\n",
       "0                      NaN              NaN                NaN   \n",
       "1                      NaN       00-0033293            A.Jones   \n",
       "2                  A.Jones              NaN                NaN   \n",
       "3                      NaN              NaN                NaN   \n",
       "4                      NaN              NaN                NaN   \n",
       "...                    ...              ...                ...   \n",
       "45541            T.Lockett              NaN                NaN   \n",
       "45542          J.Hollister              NaN                NaN   \n",
       "45543          J.Hollister              NaN                NaN   \n",
       "45544                  NaN       00-0031345        J.Garoppolo   \n",
       "45545                  NaN              NaN                NaN   \n",
       "\n",
       "      lateral_receiver_player_id lateral_receiver_player_name  \\\n",
       "0                            NaN                          NaN   \n",
       "1                            NaN                          NaN   \n",
       "2                            NaN                          NaN   \n",
       "3                            NaN                          NaN   \n",
       "4                            NaN                          NaN   \n",
       "...                          ...                          ...   \n",
       "45541                        NaN                          NaN   \n",
       "45542                        NaN                          NaN   \n",
       "45543                        NaN                          NaN   \n",
       "45544                        NaN                          NaN   \n",
       "45545                        NaN                          NaN   \n",
       "\n",
       "      lateral_rusher_player_id lateral_rusher_player_name  \\\n",
       "0                          NaN                        NaN   \n",
       "1                          NaN                        NaN   \n",
       "2                          NaN                        NaN   \n",
       "3                          NaN                        NaN   \n",
       "4                          NaN                        NaN   \n",
       "...                        ...                        ...   \n",
       "45541                      NaN                        NaN   \n",
       "45542                      NaN                        NaN   \n",
       "45543                      NaN                        NaN   \n",
       "45544                      NaN                        NaN   \n",
       "45545                      NaN                        NaN   \n",
       "\n",
       "       lateral_sack_player_id  lateral_sack_player_name  \\\n",
       "0                         NaN                       NaN   \n",
       "1                         NaN                       NaN   \n",
       "2                         NaN                       NaN   \n",
       "3                         NaN                       NaN   \n",
       "4                         NaN                       NaN   \n",
       "...                       ...                       ...   \n",
       "45541                     NaN                       NaN   \n",
       "45542                     NaN                       NaN   \n",
       "45543                     NaN                       NaN   \n",
       "45544                     NaN                       NaN   \n",
       "45545                     NaN                       NaN   \n",
       "\n",
       "      interception_player_id interception_player_name  \\\n",
       "0                        NaN                      NaN   \n",
       "1                        NaN                      NaN   \n",
       "2                        NaN                      NaN   \n",
       "3                        NaN                      NaN   \n",
       "4                        NaN                      NaN   \n",
       "...                      ...                      ...   \n",
       "45541                    NaN                      NaN   \n",
       "45542                    NaN                      NaN   \n",
       "45543                    NaN                      NaN   \n",
       "45544                    NaN                      NaN   \n",
       "45545                    NaN                      NaN   \n",
       "\n",
       "      lateral_interception_player_id lateral_interception_player_name  \\\n",
       "0                                NaN                              NaN   \n",
       "1                                NaN                              NaN   \n",
       "2                                NaN                              NaN   \n",
       "3                                NaN                              NaN   \n",
       "4                                NaN                              NaN   \n",
       "...                              ...                              ...   \n",
       "45541                            NaN                              NaN   \n",
       "45542                            NaN                              NaN   \n",
       "45543                            NaN                              NaN   \n",
       "45544                            NaN                              NaN   \n",
       "45545                            NaN                              NaN   \n",
       "\n",
       "      punt_returner_player_id punt_returner_player_name  \\\n",
       "0                         NaN                       NaN   \n",
       "1                         NaN                       NaN   \n",
       "2                         NaN                       NaN   \n",
       "3                         NaN                       NaN   \n",
       "4                  00-0033556                   T.Cohen   \n",
       "...                       ...                       ...   \n",
       "45541                     NaN                       NaN   \n",
       "45542                     NaN                       NaN   \n",
       "45543                     NaN                       NaN   \n",
       "45544                     NaN                       NaN   \n",
       "45545                     NaN                       NaN   \n",
       "\n",
       "      lateral_punt_returner_player_id lateral_punt_returner_player_name  \\\n",
       "0                                 NaN                               NaN   \n",
       "1                                 NaN                               NaN   \n",
       "2                                 NaN                               NaN   \n",
       "3                                 NaN                               NaN   \n",
       "4                                 NaN                               NaN   \n",
       "...                               ...                               ...   \n",
       "45541                             NaN                               NaN   \n",
       "45542                             NaN                               NaN   \n",
       "45543                             NaN                               NaN   \n",
       "45544                             NaN                               NaN   \n",
       "45545                             NaN                               NaN   \n",
       "\n",
       "      kickoff_returner_player_name kickoff_returner_player_id  \\\n",
       "0                              NaN                        NaN   \n",
       "1                              NaN                        NaN   \n",
       "2                              NaN                        NaN   \n",
       "3                              NaN                        NaN   \n",
       "4                              NaN                        NaN   \n",
       "...                            ...                        ...   \n",
       "45541                          NaN                        NaN   \n",
       "45542                          NaN                        NaN   \n",
       "45543                          NaN                        NaN   \n",
       "45544                          NaN                        NaN   \n",
       "45545                          NaN                        NaN   \n",
       "\n",
       "      lateral_kickoff_returner_player_id lateral_kickoff_returner_player_name  \\\n",
       "0                                    NaN                                  NaN   \n",
       "1                                    NaN                                  NaN   \n",
       "2                                    NaN                                  NaN   \n",
       "3                                    NaN                                  NaN   \n",
       "4                                    NaN                                  NaN   \n",
       "...                                  ...                                  ...   \n",
       "45541                                NaN                                  NaN   \n",
       "45542                                NaN                                  NaN   \n",
       "45543                                NaN                                  NaN   \n",
       "45544                                NaN                                  NaN   \n",
       "45545                                NaN                                  NaN   \n",
       "\n",
       "      punter_player_id punter_player_name kicker_player_name kicker_player_id  \\\n",
       "0                  NaN                NaN          E.Pineiro       00-0034173   \n",
       "1                  NaN                NaN                NaN              NaN   \n",
       "2                  NaN                NaN                NaN              NaN   \n",
       "3                  NaN                NaN                NaN              NaN   \n",
       "4           00-0034162            J.Scott                NaN              NaN   \n",
       "...                ...                ...                ...              ...   \n",
       "45541              NaN                NaN                NaN              NaN   \n",
       "45542              NaN                NaN                NaN              NaN   \n",
       "45543              NaN                NaN                NaN              NaN   \n",
       "45544              NaN                NaN                NaN              NaN   \n",
       "45545              NaN                NaN                NaN              NaN   \n",
       "\n",
       "      own_kickoff_recovery_player_id own_kickoff_recovery_player_name  \\\n",
       "0                                NaN                              NaN   \n",
       "1                                NaN                              NaN   \n",
       "2                                NaN                              NaN   \n",
       "3                                NaN                              NaN   \n",
       "4                                NaN                              NaN   \n",
       "...                              ...                              ...   \n",
       "45541                            NaN                              NaN   \n",
       "45542                            NaN                              NaN   \n",
       "45543                            NaN                              NaN   \n",
       "45544                            NaN                              NaN   \n",
       "45545                            NaN                              NaN   \n",
       "\n",
       "      blocked_player_id blocked_player_name tackle_for_loss_1_player_id  \\\n",
       "0                   NaN                 NaN                         NaN   \n",
       "1                   NaN                 NaN                         NaN   \n",
       "2                   NaN                 NaN                         NaN   \n",
       "3                   NaN                 NaN                  00-0032667   \n",
       "4                   NaN                 NaN                         NaN   \n",
       "...                 ...                 ...                         ...   \n",
       "45541               NaN                 NaN                         NaN   \n",
       "45542               NaN                 NaN                         NaN   \n",
       "45543               NaN                 NaN                         NaN   \n",
       "45544               NaN                 NaN                         NaN   \n",
       "45545               NaN                 NaN                         NaN   \n",
       "\n",
       "      tackle_for_loss_1_player_name tackle_for_loss_2_player_id  \\\n",
       "0                               NaN                         NaN   \n",
       "1                               NaN                         NaN   \n",
       "2                               NaN                         NaN   \n",
       "3                R.Robertson-Harris                         NaN   \n",
       "4                               NaN                         NaN   \n",
       "...                             ...                         ...   \n",
       "45541                           NaN                         NaN   \n",
       "45542                           NaN                         NaN   \n",
       "45543                           NaN                         NaN   \n",
       "45544                           NaN                         NaN   \n",
       "45545                           NaN                         NaN   \n",
       "\n",
       "      tackle_for_loss_2_player_name qb_hit_1_player_id qb_hit_1_player_name  \\\n",
       "0                               NaN                NaN                  NaN   \n",
       "1                               NaN                NaN                  NaN   \n",
       "2                               NaN                NaN                  NaN   \n",
       "3                               NaN         00-0032667   R.Robertson-Harris   \n",
       "4                               NaN                NaN                  NaN   \n",
       "...                             ...                ...                  ...   \n",
       "45541                           NaN         00-0032378            D.Buckner   \n",
       "45542                           NaN                NaN                  NaN   \n",
       "45543                           NaN                NaN                  NaN   \n",
       "45544                           NaN                NaN                  NaN   \n",
       "45545                           NaN                NaN                  NaN   \n",
       "\n",
       "      qb_hit_2_player_id qb_hit_2_player_name forced_fumble_player_1_team  \\\n",
       "0                    NaN                  NaN                         NaN   \n",
       "1                    NaN                  NaN                         NaN   \n",
       "2                    NaN                  NaN                         NaN   \n",
       "3                    NaN                  NaN                         NaN   \n",
       "4                    NaN                  NaN                         NaN   \n",
       "...                  ...                  ...                         ...   \n",
       "45541                NaN                  NaN                         NaN   \n",
       "45542                NaN                  NaN                         NaN   \n",
       "45543                NaN                  NaN                         NaN   \n",
       "45544                NaN                  NaN                         NaN   \n",
       "45545                NaN                  NaN                         NaN   \n",
       "\n",
       "      forced_fumble_player_1_player_id forced_fumble_player_1_player_name  \\\n",
       "0                                  NaN                                NaN   \n",
       "1                                  NaN                                NaN   \n",
       "2                                  NaN                                NaN   \n",
       "3                                  NaN                                NaN   \n",
       "4                                  NaN                                NaN   \n",
       "...                                ...                                ...   \n",
       "45541                              NaN                                NaN   \n",
       "45542                              NaN                                NaN   \n",
       "45543                              NaN                                NaN   \n",
       "45544                              NaN                                NaN   \n",
       "45545                              NaN                                NaN   \n",
       "\n",
       "      forced_fumble_player_2_team forced_fumble_player_2_player_id  \\\n",
       "0                             NaN                              NaN   \n",
       "1                             NaN                              NaN   \n",
       "2                             NaN                              NaN   \n",
       "3                             NaN                              NaN   \n",
       "4                             NaN                              NaN   \n",
       "...                           ...                              ...   \n",
       "45541                         NaN                              NaN   \n",
       "45542                         NaN                              NaN   \n",
       "45543                         NaN                              NaN   \n",
       "45544                         NaN                              NaN   \n",
       "45545                         NaN                              NaN   \n",
       "\n",
       "      forced_fumble_player_2_player_name solo_tackle_1_team  \\\n",
       "0                                    NaN                NaN   \n",
       "1                                    NaN                CHI   \n",
       "2                                    NaN                CHI   \n",
       "3                                    NaN                CHI   \n",
       "4                                    NaN                 GB   \n",
       "...                                  ...                ...   \n",
       "45541                                NaN                NaN   \n",
       "45542                                NaN                NaN   \n",
       "45543                                NaN                 SF   \n",
       "45544                                NaN                SEA   \n",
       "45545                                NaN                NaN   \n",
       "\n",
       "      solo_tackle_2_team solo_tackle_1_player_id solo_tackle_2_player_id  \\\n",
       "0                    NaN                     NaN                     NaN   \n",
       "1                    NaN              00-0034874                     NaN   \n",
       "2                    NaN              00-0034874                     NaN   \n",
       "3                    NaN              00-0032667                     NaN   \n",
       "4                    NaN              00-0031584                     NaN   \n",
       "...                  ...                     ...                     ...   \n",
       "45541                NaN                     NaN                     NaN   \n",
       "45542                NaN                     NaN                     NaN   \n",
       "45543                NaN              00-0034982                     NaN   \n",
       "45544                NaN              00-0034831                     NaN   \n",
       "45545                NaN                     NaN                     NaN   \n",
       "\n",
       "      solo_tackle_1_player_name solo_tackle_2_player_name  \\\n",
       "0                           NaN                       NaN   \n",
       "1                       R.Smith                       NaN   \n",
       "2                       R.Smith                       NaN   \n",
       "3            R.Robertson-Harris                       NaN   \n",
       "4                        A.Amos                       NaN   \n",
       "...                         ...                       ...   \n",
       "45541                       NaN                       NaN   \n",
       "45542                       NaN                       NaN   \n",
       "45543                D.Greenlaw                       NaN   \n",
       "45544                   R.Green                       NaN   \n",
       "45545                       NaN                       NaN   \n",
       "\n",
       "      assist_tackle_1_player_id assist_tackle_1_player_name  \\\n",
       "0                           NaN                         NaN   \n",
       "1                           NaN                         NaN   \n",
       "2                           NaN                         NaN   \n",
       "3                           NaN                         NaN   \n",
       "4                           NaN                         NaN   \n",
       "...                         ...                         ...   \n",
       "45541                       NaN                         NaN   \n",
       "45542                       NaN                         NaN   \n",
       "45543                       NaN                         NaN   \n",
       "45544                       NaN                         NaN   \n",
       "45545                       NaN                         NaN   \n",
       "\n",
       "      assist_tackle_1_team assist_tackle_2_player_id  \\\n",
       "0                      NaN                       NaN   \n",
       "1                      NaN                       NaN   \n",
       "2                      NaN                       NaN   \n",
       "3                      NaN                       NaN   \n",
       "4                      NaN                       NaN   \n",
       "...                    ...                       ...   \n",
       "45541                  NaN                       NaN   \n",
       "45542                  NaN                       NaN   \n",
       "45543                  NaN                       NaN   \n",
       "45544                  NaN                       NaN   \n",
       "45545                  NaN                       NaN   \n",
       "\n",
       "      assist_tackle_2_player_name assist_tackle_2_team  \\\n",
       "0                             NaN                  NaN   \n",
       "1                             NaN                  NaN   \n",
       "2                             NaN                  NaN   \n",
       "3                             NaN                  NaN   \n",
       "4                             NaN                  NaN   \n",
       "...                           ...                  ...   \n",
       "45541                         NaN                  NaN   \n",
       "45542                         NaN                  NaN   \n",
       "45543                         NaN                  NaN   \n",
       "45544                         NaN                  NaN   \n",
       "45545                         NaN                  NaN   \n",
       "\n",
       "      assist_tackle_3_player_id assist_tackle_3_player_name  \\\n",
       "0                           NaN                         NaN   \n",
       "1                           NaN                         NaN   \n",
       "2                           NaN                         NaN   \n",
       "3                           NaN                         NaN   \n",
       "4                           NaN                         NaN   \n",
       "...                         ...                         ...   \n",
       "45541                       NaN                         NaN   \n",
       "45542                       NaN                         NaN   \n",
       "45543                       NaN                         NaN   \n",
       "45544                       NaN                         NaN   \n",
       "45545                       NaN                         NaN   \n",
       "\n",
       "      assist_tackle_3_team assist_tackle_4_player_id  \\\n",
       "0                      NaN                       NaN   \n",
       "1                      NaN                       NaN   \n",
       "2                      NaN                       NaN   \n",
       "3                      NaN                       NaN   \n",
       "4                      NaN                       NaN   \n",
       "...                    ...                       ...   \n",
       "45541                  NaN                       NaN   \n",
       "45542                  NaN                       NaN   \n",
       "45543                  NaN                       NaN   \n",
       "45544                  NaN                       NaN   \n",
       "45545                  NaN                       NaN   \n",
       "\n",
       "      assist_tackle_4_player_name assist_tackle_4_team  \\\n",
       "0                             NaN                  NaN   \n",
       "1                             NaN                  NaN   \n",
       "2                             NaN                  NaN   \n",
       "3                             NaN                  NaN   \n",
       "4                             NaN                  NaN   \n",
       "...                           ...                  ...   \n",
       "45541                         NaN                  NaN   \n",
       "45542                         NaN                  NaN   \n",
       "45543                         NaN                  NaN   \n",
       "45544                         NaN                  NaN   \n",
       "45545                         NaN                  NaN   \n",
       "\n",
       "      pass_defense_1_player_id pass_defense_1_player_name  \\\n",
       "0                          NaN                        NaN   \n",
       "1                          NaN                        NaN   \n",
       "2                          NaN                        NaN   \n",
       "3                          NaN                        NaN   \n",
       "4                          NaN                        NaN   \n",
       "...                        ...                        ...   \n",
       "45541               00-0034730                   M.Harris   \n",
       "45542                      NaN                        NaN   \n",
       "45543                      NaN                        NaN   \n",
       "45544                      NaN                        NaN   \n",
       "45545                      NaN                        NaN   \n",
       "\n",
       "      pass_defense_2_player_id pass_defense_2_player_name fumbled_1_team  \\\n",
       "0                          NaN                        NaN            NaN   \n",
       "1                          NaN                        NaN            NaN   \n",
       "2                          NaN                        NaN            NaN   \n",
       "3                          NaN                        NaN            NaN   \n",
       "4                          NaN                        NaN            NaN   \n",
       "...                        ...                        ...            ...   \n",
       "45541                      NaN                        NaN            NaN   \n",
       "45542                      NaN                        NaN            NaN   \n",
       "45543                      NaN                        NaN            NaN   \n",
       "45544                      NaN                        NaN            NaN   \n",
       "45545                      NaN                        NaN            NaN   \n",
       "\n",
       "      fumbled_1_player_id fumbled_1_player_name fumbled_2_player_id  \\\n",
       "0                     NaN                   NaN                 NaN   \n",
       "1                     NaN                   NaN                 NaN   \n",
       "2                     NaN                   NaN                 NaN   \n",
       "3                     NaN                   NaN                 NaN   \n",
       "4                     NaN                   NaN                 NaN   \n",
       "...                   ...                   ...                 ...   \n",
       "45541                 NaN                   NaN                 NaN   \n",
       "45542                 NaN                   NaN                 NaN   \n",
       "45543                 NaN                   NaN                 NaN   \n",
       "45544                 NaN                   NaN                 NaN   \n",
       "45545                 NaN                   NaN                 NaN   \n",
       "\n",
       "      fumbled_2_player_name fumbled_2_team fumble_recovery_1_team  \\\n",
       "0                       NaN            NaN                    NaN   \n",
       "1                       NaN            NaN                    NaN   \n",
       "2                       NaN            NaN                    NaN   \n",
       "3                       NaN            NaN                    NaN   \n",
       "4                       NaN            NaN                    NaN   \n",
       "...                     ...            ...                    ...   \n",
       "45541                   NaN            NaN                    NaN   \n",
       "45542                   NaN            NaN                    NaN   \n",
       "45543                   NaN            NaN                    NaN   \n",
       "45544                   NaN            NaN                    NaN   \n",
       "45545                   NaN            NaN                    NaN   \n",
       "\n",
       "       fumble_recovery_1_yards fumble_recovery_1_player_id  \\\n",
       "0                          NaN                         NaN   \n",
       "1                          NaN                         NaN   \n",
       "2                          NaN                         NaN   \n",
       "3                          NaN                         NaN   \n",
       "4                          NaN                         NaN   \n",
       "...                        ...                         ...   \n",
       "45541                      NaN                         NaN   \n",
       "45542                      NaN                         NaN   \n",
       "45543                      NaN                         NaN   \n",
       "45544                      NaN                         NaN   \n",
       "45545                      NaN                         NaN   \n",
       "\n",
       "      fumble_recovery_1_player_name fumble_recovery_2_team  \\\n",
       "0                               NaN                    NaN   \n",
       "1                               NaN                    NaN   \n",
       "2                               NaN                    NaN   \n",
       "3                               NaN                    NaN   \n",
       "4                               NaN                    NaN   \n",
       "...                             ...                    ...   \n",
       "45541                           NaN                    NaN   \n",
       "45542                           NaN                    NaN   \n",
       "45543                           NaN                    NaN   \n",
       "45544                           NaN                    NaN   \n",
       "45545                           NaN                    NaN   \n",
       "\n",
       "       fumble_recovery_2_yards fumble_recovery_2_player_id  \\\n",
       "0                          NaN                         NaN   \n",
       "1                          NaN                         NaN   \n",
       "2                          NaN                         NaN   \n",
       "3                          NaN                         NaN   \n",
       "4                          NaN                         NaN   \n",
       "...                        ...                         ...   \n",
       "45541                      NaN                         NaN   \n",
       "45542                      NaN                         NaN   \n",
       "45543                      NaN                         NaN   \n",
       "45544                      NaN                         NaN   \n",
       "45545                      NaN                         NaN   \n",
       "\n",
       "      fumble_recovery_2_player_name return_team  return_yards penalty_team  \\\n",
       "0                               NaN         NaN             0          NaN   \n",
       "1                               NaN         NaN             0          NaN   \n",
       "2                               NaN         NaN             0          NaN   \n",
       "3                               NaN         NaN             0          NaN   \n",
       "4                               NaN         CHI            11          NaN   \n",
       "...                             ...         ...           ...          ...   \n",
       "45541                           NaN         NaN             0          NaN   \n",
       "45542                           NaN         NaN             0          NaN   \n",
       "45543                           NaN         NaN             0          NaN   \n",
       "45544                           NaN         NaN             0          NaN   \n",
       "45545                           NaN         NaN             0          NaN   \n",
       "\n",
       "      penalty_player_id penalty_player_name  penalty_yards  \\\n",
       "0                   NaN                 NaN            NaN   \n",
       "1                   NaN                 NaN            NaN   \n",
       "2                   NaN                 NaN            NaN   \n",
       "3                   NaN                 NaN            NaN   \n",
       "4                   NaN                 NaN            NaN   \n",
       "...                 ...                 ...            ...   \n",
       "45541               NaN                 NaN            NaN   \n",
       "45542               NaN                 NaN            NaN   \n",
       "45543               NaN                 NaN            NaN   \n",
       "45544               NaN                 NaN            NaN   \n",
       "45545               NaN                 NaN            NaN   \n",
       "\n",
       "       replay_or_challenge replay_or_challenge_result penalty_type  \\\n",
       "0                        0                        NaN          NaN   \n",
       "1                        0                        NaN          NaN   \n",
       "2                        0                        NaN          NaN   \n",
       "3                        0                        NaN          NaN   \n",
       "4                        0                        NaN          NaN   \n",
       "...                    ...                        ...          ...   \n",
       "45541                    0                        NaN          NaN   \n",
       "45542                    0                        NaN          NaN   \n",
       "45543                    1                     upheld          NaN   \n",
       "45544                    0                        NaN          NaN   \n",
       "45545                    0                        NaN          NaN   \n",
       "\n",
       "       defensive_two_point_attempt  defensive_two_point_conv  \\\n",
       "0                              0.0                       0.0   \n",
       "1                              0.0                       0.0   \n",
       "2                              0.0                       0.0   \n",
       "3                              0.0                       0.0   \n",
       "4                              0.0                       0.0   \n",
       "...                            ...                       ...   \n",
       "45541                          0.0                       0.0   \n",
       "45542                          0.0                       0.0   \n",
       "45543                          0.0                       0.0   \n",
       "45544                          0.0                       0.0   \n",
       "45545                          NaN                       NaN   \n",
       "\n",
       "       defensive_extra_point_attempt  defensive_extra_point_conv  \n",
       "0                                0.0                         0.0  \n",
       "1                                0.0                         0.0  \n",
       "2                                0.0                         0.0  \n",
       "3                                0.0                         0.0  \n",
       "4                                0.0                         0.0  \n",
       "...                              ...                         ...  \n",
       "45541                            0.0                         0.0  \n",
       "45542                            0.0                         0.0  \n",
       "45543                            0.0                         0.0  \n",
       "45544                            0.0                         0.0  \n",
       "45545                            NaN                         NaN  \n",
       "\n",
       "[45546 rows x 256 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 8;\n",
       "                var nbb_unformatted_code = \"# The initial Dataframe with everything in it\\nnfl\";\n",
       "                var nbb_formatted_code = \"# The initial Dataframe with everything in it\\nnfl\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The initial Dataframe with everything in it\n",
    "nfl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 9;\n",
       "                var nbb_unformatted_code = \"#Subsetting out just the pass plays \\nnfl = nfl.loc[nfl['play_type'] == 'pass']\";\n",
       "                var nbb_formatted_code = \"# Subsetting out just the pass plays\\nnfl = nfl.loc[nfl[\\\"play_type\\\"] == \\\"pass\\\"]\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Subsetting out just the pass plays \n",
    "nfl = nfl.loc[nfl['play_type'] == 'pass']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>size</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receiver_player_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>A.Abdullah</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>21</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Armah</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Auclair</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Beck</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>12</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Brown</td>\n",
       "      <td>0.615385</td>\n",
       "      <td>91</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          mean  size   sum\n",
       "receiver_player_name                      \n",
       "A.Abdullah            0.714286    21  15.0\n",
       "A.Armah               1.000000     2   2.0\n",
       "A.Auclair             0.333333     3   1.0\n",
       "A.Beck                0.750000    12   9.0\n",
       "A.Brown               0.615385    91  56.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 10;\n",
       "                var nbb_unformatted_code = \"#Getting the WR target information as well as catch percentage \\nwrs_targets = nfl.groupby('receiver_player_name')['complete_pass'].agg(['mean','size','sum'])\\n\\nwrs_targets.head()\";\n",
       "                var nbb_formatted_code = \"# Getting the WR target information as well as catch percentage\\nwrs_targets = nfl.groupby(\\\"receiver_player_name\\\")[\\\"complete_pass\\\"].agg(\\n    [\\\"mean\\\", \\\"size\\\", \\\"sum\\\"]\\n)\\n\\nwrs_targets.head()\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Getting the WR target information as well as catch percentage \n",
    "wrs_targets = nfl.groupby('receiver_player_name')['complete_pass'].agg(['mean','size','sum'])\n",
    "\n",
    "wrs_targets.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 11;\n",
       "                var nbb_unformatted_code = \"#going to join on receiver \\nwrs_targets.columns = ['catch_pct','targets','catches']\";\n",
       "                var nbb_formatted_code = \"# going to join on receiver\\nwrs_targets.columns = [\\\"catch_pct\\\", \\\"targets\\\", \\\"catches\\\"]\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#going to join on receiver \n",
    "wrs_targets.columns = ['catch_pct','targets','catches']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 12;\n",
       "                var nbb_unformatted_code = \"nfl = nfl[\\n    [\\n        \\\"pass_touchdown\\\",\\n        \\\"receiver_player_name\\\",\\n        \\\"receiver_player_id\\\",\\n        \\\"complete_pass\\\",\\n        \\\"air_yards\\\",\\n        \\\"yards_after_catch\\\",\\n        \\\"game_date\\\",\\n        \\\"time\\\",\\n    ]\\n]\";\n",
       "                var nbb_formatted_code = \"nfl = nfl[\\n    [\\n        \\\"pass_touchdown\\\",\\n        \\\"receiver_player_name\\\",\\n        \\\"receiver_player_id\\\",\\n        \\\"complete_pass\\\",\\n        \\\"air_yards\\\",\\n        \\\"yards_after_catch\\\",\\n        \\\"game_date\\\",\\n        \\\"time\\\",\\n    ]\\n]\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nfl = nfl[\n",
    "    [\n",
    "        \"pass_touchdown\",\n",
    "        \"receiver_player_name\",\n",
    "        \"receiver_player_id\",\n",
    "        \"complete_pass\",\n",
    "        \"air_yards\",\n",
    "        \"yards_after_catch\",\n",
    "        \"game_date\",\n",
    "        \"time\",\n",
    "    ]\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0    11331\n",
       "0.0     7732\n",
       "Name: complete_pass, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 13;\n",
       "                var nbb_unformatted_code = \"nfl.complete_pass.value_counts()\";\n",
       "                var nbb_formatted_code = \"nfl.complete_pass.value_counts()\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
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       "<IPython.core.display.Javascript object>"
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    "nfl.complete_pass.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 14;\n",
       "                var nbb_unformatted_code = \"# Dataframe with just the completed passes and revelant columns\\nwrscomplete = nfl.loc[nfl[\\\"complete_pass\\\"] == 1.0].copy()\\n# wrscomplete=nfl\";\n",
       "                var nbb_formatted_code = \"# Dataframe with just the completed passes and revelant columns\\nwrscomplete = nfl.loc[nfl[\\\"complete_pass\\\"] == 1.0].copy()\\n# wrscomplete=nfl\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "# Dataframe with just the completed passes and revelant columns\n",
    "wrscomplete = nfl.loc[nfl[\"complete_pass\"] == 1.0].copy()\n",
    "# wrscomplete=nfl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pass_touchdown</th>\n",
       "      <th>receiver_player_name</th>\n",
       "      <th>receiver_player_id</th>\n",
       "      <th>complete_pass</th>\n",
       "      <th>air_yards</th>\n",
       "      <th>yards_after_catch</th>\n",
       "      <th>game_date</th>\n",
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       "  <tbody>\n",
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       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>14:33</td>\n",
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       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>0.0</td>\n",
       "      <td>T.Cohen</td>\n",
       "      <td>00-0033556</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>04:41</td>\n",
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       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>D.Adams</td>\n",
       "      <td>00-0031381</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>04:07</td>\n",
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       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A.Robinson</td>\n",
       "      <td>00-0031428</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>02:32</td>\n",
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       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A.Shaheen</td>\n",
       "      <td>00-0033896</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>01:46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>45528</td>\n",
       "      <td>0.0</td>\n",
       "      <td>T.Homer</td>\n",
       "      <td>00-0035594</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>01:52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45529</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DK.Metcalf</td>\n",
       "      <td>00-0035640</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>01:46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45531</td>\n",
       "      <td>0.0</td>\n",
       "      <td>T.Lockett</td>\n",
       "      <td>00-0032211</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>01:33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45538</td>\n",
       "      <td>0.0</td>\n",
       "      <td>J.Ursua</td>\n",
       "      <td>00-0035597</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>00:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45543</td>\n",
       "      <td>0.0</td>\n",
       "      <td>J.Hollister</td>\n",
       "      <td>00-0033387</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>00:12</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>11331 rows × 8 columns</p>\n",
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      ],
      "text/plain": [
       "       pass_touchdown receiver_player_name receiver_player_id  complete_pass  \\\n",
       "2                 0.0              A.Jones         00-0033293            1.0   \n",
       "21                0.0              T.Cohen         00-0033556            1.0   \n",
       "25                0.0              D.Adams         00-0031381            1.0   \n",
       "29                0.0           A.Robinson         00-0031428            1.0   \n",
       "32                0.0            A.Shaheen         00-0033896            1.0   \n",
       "...               ...                  ...                ...            ...   \n",
       "45528             0.0              T.Homer         00-0035594            1.0   \n",
       "45529             0.0           DK.Metcalf         00-0035640            1.0   \n",
       "45531             0.0            T.Lockett         00-0032211            1.0   \n",
       "45538             0.0              J.Ursua         00-0035597            1.0   \n",
       "45543             0.0          J.Hollister         00-0033387            1.0   \n",
       "\n",
       "       air_yards  yards_after_catch   game_date   time  \n",
       "2           -1.0                1.0  2019-09-05  14:33  \n",
       "21           0.0                1.0  2019-09-05  04:41  \n",
       "25           5.0                0.0  2019-09-05  04:07  \n",
       "29           3.0                2.0  2019-09-05  02:32  \n",
       "32           5.0                1.0  2019-09-05  01:46  \n",
       "...          ...                ...         ...    ...  \n",
       "45528       -1.0               12.0  2019-12-29  01:52  \n",
       "45529       16.0                8.0  2019-12-29  01:46  \n",
       "45531        5.0                6.0  2019-12-29  01:33  \n",
       "45538       11.0                0.0  2019-12-29  00:42  \n",
       "45543        4.0                0.0  2019-12-29  00:12  \n",
       "\n",
       "[11331 rows x 8 columns]"
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     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
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    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 15;\n",
       "                var nbb_unformatted_code = \"wrscomplete\";\n",
       "                var nbb_formatted_code = \"wrscomplete\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
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       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
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      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     "metadata": {},
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   "source": [
    "wrscomplete"
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  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>screen</th>\n",
       "      <th>shortroute</th>\n",
       "      <th>intermediateroute</th>\n",
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       "      <td>29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A.Robinson</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>02:32</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A.Shaheen</td>\n",
       "      <td>00-0033896</td>\n",
       "      <td>1.0</td>\n",
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      ],
      "text/plain": [
       "    pass_touchdown receiver_player_name receiver_player_id  complete_pass  \\\n",
       "2              0.0              A.Jones         00-0033293            1.0   \n",
       "21             0.0              T.Cohen         00-0033556            1.0   \n",
       "25             0.0              D.Adams         00-0031381            1.0   \n",
       "29             0.0           A.Robinson         00-0031428            1.0   \n",
       "32             0.0            A.Shaheen         00-0033896            1.0   \n",
       "\n",
       "    air_yards  yards_after_catch   game_date   time  explosive_yac  midyac  \\\n",
       "2        -1.0                1.0  2019-09-05  14:33          False   False   \n",
       "21        0.0                1.0  2019-09-05  04:41          False   False   \n",
       "25        5.0                0.0  2019-09-05  04:07          False   False   \n",
       "29        3.0                2.0  2019-09-05  02:32          False   False   \n",
       "32        5.0                1.0  2019-09-05  01:46          False   False   \n",
       "\n",
       "    shortyac  screen  shortroute  intermediateroute  deeproute  deepshots  \n",
       "2       True    True       False              False      False      False  \n",
       "21      True   False        True              False      False      False  \n",
       "25      True   False        True              False      False      False  \n",
       "29      True   False        True              False      False      False  \n",
       "32      True   False        True              False      False      False  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 16;\n",
       "                var nbb_unformatted_code = \"# binning yards after catch\\nwrscomplete[\\\"explosive_yac\\\"] = wrscomplete[\\\"yards_after_catch\\\"] > 20\\nwrscomplete[\\\"midyac\\\"] = wrscomplete[\\\"yards_after_catch\\\"].between(10, 20)\\nwrscomplete[\\\"shortyac\\\"] = wrscomplete[\\\"yards_after_catch\\\"] < 10\\n# Binning air yards\\nwrscomplete[\\\"screen\\\"] = wrscomplete[\\\"air_yards\\\"] < 0\\nwrscomplete[\\\"shortroute\\\"] = wrscomplete[\\\"air_yards\\\"].between(0, 10)\\nwrscomplete[\\\"intermediateroute\\\"] = wrscomplete[\\\"air_yards\\\"].between(10, 20)\\nwrscomplete[\\\"deeproute\\\"] = wrscomplete[\\\"air_yards\\\"] > 20\\nwrscomplete[\\\"deepshots\\\"] = wrscomplete[\\\"air_yards\\\"] >= 40\\n\\nwrscomplete.head()\";\n",
       "                var nbb_formatted_code = \"# binning yards after catch\\nwrscomplete[\\\"explosive_yac\\\"] = wrscomplete[\\\"yards_after_catch\\\"] > 20\\nwrscomplete[\\\"midyac\\\"] = wrscomplete[\\\"yards_after_catch\\\"].between(10, 20)\\nwrscomplete[\\\"shortyac\\\"] = wrscomplete[\\\"yards_after_catch\\\"] < 10\\n# Binning air yards\\nwrscomplete[\\\"screen\\\"] = wrscomplete[\\\"air_yards\\\"] < 0\\nwrscomplete[\\\"shortroute\\\"] = wrscomplete[\\\"air_yards\\\"].between(0, 10)\\nwrscomplete[\\\"intermediateroute\\\"] = wrscomplete[\\\"air_yards\\\"].between(10, 20)\\nwrscomplete[\\\"deeproute\\\"] = wrscomplete[\\\"air_yards\\\"] > 20\\nwrscomplete[\\\"deepshots\\\"] = wrscomplete[\\\"air_yards\\\"] >= 40\\n\\nwrscomplete.head()\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# binning yards after catch\n",
    "wrscomplete[\"explosive_yac\"] = wrscomplete[\"yards_after_catch\"] > 20\n",
    "wrscomplete[\"midyac\"] = wrscomplete[\"yards_after_catch\"].between(10, 20)\n",
    "wrscomplete[\"shortyac\"] = wrscomplete[\"yards_after_catch\"] < 10\n",
    "# Binning air yards\n",
    "wrscomplete[\"screen\"] = wrscomplete[\"air_yards\"] < 0\n",
    "wrscomplete[\"shortroute\"] = wrscomplete[\"air_yards\"].between(0, 10)\n",
    "wrscomplete[\"intermediateroute\"] = wrscomplete[\"air_yards\"].between(10, 20)\n",
    "wrscomplete[\"deeproute\"] = wrscomplete[\"air_yards\"] > 20\n",
    "wrscomplete[\"deepshots\"] = wrscomplete[\"air_yards\"] >= 40\n",
    "\n",
    "wrscomplete.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">pass_touchdown</th>\n",
       "      <th colspan=\"4\" halign=\"left\">complete_pass</th>\n",
       "      <th colspan=\"4\" halign=\"left\">air_yards</th>\n",
       "      <th colspan=\"4\" halign=\"left\">yards_after_catch</th>\n",
       "      <th colspan=\"4\" halign=\"left\">explosive_yac</th>\n",
       "      <th colspan=\"4\" halign=\"left\">midyac</th>\n",
       "      <th colspan=\"4\" halign=\"left\">shortyac</th>\n",
       "      <th colspan=\"4\" halign=\"left\">screen</th>\n",
       "      <th colspan=\"4\" halign=\"left\">shortroute</th>\n",
       "      <th colspan=\"4\" halign=\"left\">intermediateroute</th>\n",
       "      <th colspan=\"4\" halign=\"left\">deeproute</th>\n",
       "      <th colspan=\"4\" halign=\"left\">deepshots</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
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       "      <th>std</th>\n",
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       "      <th>min</th>\n",
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       "      <th>min</th>\n",
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       "      <th>std</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receiver_player_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>A.Abdullah</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.258199</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>2.823372</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.266667</td>\n",
       "      <td>4.300609</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.266667</td>\n",
       "      <td>0.457738</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>0.457738</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.507093</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.507093</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Armah</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>-0.500000</td>\n",
       "      <td>4.949747</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>3.535534</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Auclair</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Beck</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>2.555556</td>\n",
       "      <td>5.659309</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.444444</td>\n",
       "      <td>7.019813</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>0.527046</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>0.527046</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Brown</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.160714</td>\n",
       "      <td>0.370591</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>11.339286</td>\n",
       "      <td>10.598931</td>\n",
       "      <td>52.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>8.428571</td>\n",
       "      <td>13.215497</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.107143</td>\n",
       "      <td>0.312094</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.386459</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.455842</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.187256</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.482143</td>\n",
       "      <td>0.504203</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.410714</td>\n",
       "      <td>0.496416</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.333712</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.053571</td>\n",
       "      <td>0.227208</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     pass_touchdown                          complete_pass  \\\n",
       "                                max  min      mean       std           max   \n",
       "receiver_player_name                                                         \n",
       "A.Abdullah                      1.0  0.0  0.066667  0.258199           1.0   \n",
       "A.Armah                         0.0  0.0  0.000000  0.000000           1.0   \n",
       "A.Auclair                       0.0  0.0  0.000000       NaN           1.0   \n",
       "A.Beck                          1.0  0.0  0.111111  0.333333           1.0   \n",
       "A.Brown                         1.0  0.0  0.160714  0.370591           1.0   \n",
       "\n",
       "                                    air_yards                             \\\n",
       "                      min mean  std       max  min       mean        std   \n",
       "receiver_player_name                                                       \n",
       "A.Abdullah            1.0  1.0  0.0       5.0 -5.0   0.600000   2.823372   \n",
       "A.Armah               1.0  1.0  0.0       3.0 -4.0  -0.500000   4.949747   \n",
       "A.Auclair             1.0  1.0  NaN       3.0  3.0   3.000000        NaN   \n",
       "A.Beck                1.0  1.0  0.0      12.0 -5.0   2.555556   5.659309   \n",
       "A.Brown               1.0  1.0  0.0      47.0 -3.0  11.339286  10.598931   \n",
       "\n",
       "                     yards_after_catch                            \\\n",
       "                                   max  min      mean        std   \n",
       "receiver_player_name                                               \n",
       "A.Abdullah                        11.0  0.0  5.266667   4.300609   \n",
       "A.Armah                            6.0  1.0  3.500000   3.535534   \n",
       "A.Auclair                          8.0  8.0  8.000000        NaN   \n",
       "A.Beck                            19.0  0.0  7.444444   7.019813   \n",
       "A.Brown                           52.0 -2.0  8.428571  13.215497   \n",
       "\n",
       "                     explosive_yac                            midyac         \\\n",
       "                               max    min      mean       std    max    min   \n",
       "receiver_player_name                                                          \n",
       "A.Abdullah                   False  False  0.000000  0.000000   True  False   \n",
       "A.Armah                      False  False  0.000000  0.000000  False  False   \n",
       "A.Auclair                    False  False  0.000000       NaN  False  False   \n",
       "A.Beck                       False  False  0.000000  0.000000   True  False   \n",
       "A.Brown                       True  False  0.107143  0.312094   True  False   \n",
       "\n",
       "                                         shortyac                             \\\n",
       "                          mean       std      max    min      mean       std   \n",
       "receiver_player_name                                                           \n",
       "A.Abdullah            0.266667  0.457738     True  False  0.733333  0.457738   \n",
       "A.Armah               0.000000  0.000000     True   True  1.000000  0.000000   \n",
       "A.Auclair             0.000000       NaN     True   True  1.000000       NaN   \n",
       "A.Beck                0.333333  0.500000     True  False  0.666667  0.500000   \n",
       "A.Brown               0.178571  0.386459     True  False  0.714286  0.455842   \n",
       "\n",
       "                     screen                            shortroute         \\\n",
       "                        max    min      mean       std        max    min   \n",
       "receiver_player_name                                                       \n",
       "A.Abdullah             True  False  0.400000  0.507093       True  False   \n",
       "A.Armah                True  False  0.500000  0.707107       True  False   \n",
       "A.Auclair             False  False  0.000000       NaN       True   True   \n",
       "A.Beck                 True  False  0.444444  0.527046       True  False   \n",
       "A.Brown                True  False  0.035714  0.187256       True  False   \n",
       "\n",
       "                                         intermediateroute                   \\\n",
       "                          mean       std               max    min      mean   \n",
       "receiver_player_name                                                          \n",
       "A.Abdullah            0.600000  0.507093             False  False  0.000000   \n",
       "A.Armah               0.500000  0.707107             False  False  0.000000   \n",
       "A.Auclair             1.000000       NaN             False  False  0.000000   \n",
       "A.Beck                0.444444  0.527046              True  False  0.111111   \n",
       "A.Brown               0.482143  0.504203              True  False  0.410714   \n",
       "\n",
       "                               deeproute                         deepshots  \\\n",
       "                           std       max    min   mean       std       max   \n",
       "receiver_player_name                                                         \n",
       "A.Abdullah            0.000000     False  False  0.000  0.000000     False   \n",
       "A.Armah               0.000000     False  False  0.000  0.000000     False   \n",
       "A.Auclair                  NaN     False  False  0.000       NaN     False   \n",
       "A.Beck                0.333333     False  False  0.000  0.000000     False   \n",
       "A.Brown               0.496416      True  False  0.125  0.333712      True   \n",
       "\n",
       "                                                 \n",
       "                        min      mean       std  \n",
       "receiver_player_name                             \n",
       "A.Abdullah            False  0.000000  0.000000  \n",
       "A.Armah               False  0.000000  0.000000  \n",
       "A.Auclair             False  0.000000       NaN  \n",
       "A.Beck                False  0.000000  0.000000  \n",
       "A.Brown               False  0.053571  0.227208  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 17;\n",
       "                var nbb_unformatted_code = \"#Aggregation of the players by wr name \\n\\nwrsagg = wrscomplete.groupby('receiver_player_name').agg(['max','min','mean','std'])\\nwrsagg.head()\";\n",
       "                var nbb_formatted_code = \"# Aggregation of the players by wr name\\n\\nwrsagg = wrscomplete.groupby(\\\"receiver_player_name\\\").agg([\\\"max\\\", \\\"min\\\", \\\"mean\\\", \\\"std\\\"])\\nwrsagg.head()\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Aggregation of the players by wr name \n",
    "\n",
    "wrsagg = wrscomplete.groupby('receiver_player_name').agg(['max','min','mean','std'])\n",
    "wrsagg.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 18;\n",
       "                var nbb_unformatted_code = \"wrsagg.columns = wrsagg.columns.to_flat_index()\\nwrsagg.columns = [\\\"_\\\".join(t) for t in wrsagg.columns]\";\n",
       "                var nbb_formatted_code = \"wrsagg.columns = wrsagg.columns.to_flat_index()\\nwrsagg.columns = [\\\"_\\\".join(t) for t in wrsagg.columns]\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wrsagg.columns = wrsagg.columns.to_flat_index()\n",
    "wrsagg.columns = [\"_\".join(t) for t in wrsagg.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 19;\n",
       "                var nbb_unformatted_code = \"# merge my two dataframes\\nmaster_wr = wrs_targets.merge(wrsagg, on=\\\"receiver_player_name\\\")\";\n",
       "                var nbb_formatted_code = \"# merge my two dataframes\\nmaster_wr = wrs_targets.merge(wrsagg, on=\\\"receiver_player_name\\\")\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# merge my two dataframes\n",
    "master_wr = wrs_targets.merge(wrsagg, on=\"receiver_player_name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>catch_pct</th>\n",
       "      <th>targets</th>\n",
       "      <th>catches</th>\n",
       "      <th>pass_touchdown_max</th>\n",
       "      <th>pass_touchdown_min</th>\n",
       "      <th>pass_touchdown_mean</th>\n",
       "      <th>pass_touchdown_std</th>\n",
       "      <th>complete_pass_max</th>\n",
       "      <th>complete_pass_min</th>\n",
       "      <th>complete_pass_mean</th>\n",
       "      <th>complete_pass_std</th>\n",
       "      <th>air_yards_max</th>\n",
       "      <th>air_yards_min</th>\n",
       "      <th>air_yards_mean</th>\n",
       "      <th>air_yards_std</th>\n",
       "      <th>yards_after_catch_max</th>\n",
       "      <th>yards_after_catch_min</th>\n",
       "      <th>yards_after_catch_mean</th>\n",
       "      <th>yards_after_catch_std</th>\n",
       "      <th>explosive_yac_max</th>\n",
       "      <th>explosive_yac_min</th>\n",
       "      <th>explosive_yac_mean</th>\n",
       "      <th>explosive_yac_std</th>\n",
       "      <th>midyac_max</th>\n",
       "      <th>midyac_min</th>\n",
       "      <th>midyac_mean</th>\n",
       "      <th>midyac_std</th>\n",
       "      <th>shortyac_max</th>\n",
       "      <th>shortyac_min</th>\n",
       "      <th>shortyac_mean</th>\n",
       "      <th>shortyac_std</th>\n",
       "      <th>screen_max</th>\n",
       "      <th>screen_min</th>\n",
       "      <th>screen_mean</th>\n",
       "      <th>screen_std</th>\n",
       "      <th>shortroute_max</th>\n",
       "      <th>shortroute_min</th>\n",
       "      <th>shortroute_mean</th>\n",
       "      <th>shortroute_std</th>\n",
       "      <th>intermediateroute_max</th>\n",
       "      <th>intermediateroute_min</th>\n",
       "      <th>intermediateroute_mean</th>\n",
       "      <th>intermediateroute_std</th>\n",
       "      <th>deeproute_max</th>\n",
       "      <th>deeproute_min</th>\n",
       "      <th>deeproute_mean</th>\n",
       "      <th>deeproute_std</th>\n",
       "      <th>deepshots_max</th>\n",
       "      <th>deepshots_min</th>\n",
       "      <th>deepshots_mean</th>\n",
       "      <th>deepshots_std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receiver_player_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>A.Abdullah</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>21</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.258199</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>2.823372</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.266667</td>\n",
       "      <td>4.300609</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.266667</td>\n",
       "      <td>0.457738</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>0.457738</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.507093</td>\n",
       "      <td>True</td>\n",
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       "      <td>0.600000</td>\n",
       "      <td>0.507093</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Armah</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>-0.500000</td>\n",
       "      <td>4.949747</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>3.535534</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Auclair</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>True</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>False</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>False</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <td>A.Beck</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>12</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>2.555556</td>\n",
       "      <td>5.659309</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.444444</td>\n",
       "      <td>7.019813</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>0.527046</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>0.527046</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <td>A.Brown</td>\n",
       "      <td>0.615385</td>\n",
       "      <td>91</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>47.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>11.339286</td>\n",
       "      <td>10.598931</td>\n",
       "      <td>52.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>8.428571</td>\n",
       "      <td>13.215497</td>\n",
       "      <td>True</td>\n",
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       "      <td>0.107143</td>\n",
       "      <td>0.312094</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.386459</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.455842</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.187256</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.482143</td>\n",
       "      <td>0.504203</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.410714</td>\n",
       "      <td>0.496416</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.12500</td>\n",
       "      <td>0.333712</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.053571</td>\n",
       "      <td>0.227208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Z.Gentry</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Z.Jones</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>45</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>5.148148</td>\n",
       "      <td>5.565717</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.851852</td>\n",
       "      <td>3.254626</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.266880</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>0.266880</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.320256</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.703704</td>\n",
       "      <td>0.465322</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.423659</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Z.Line</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>10</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>-1.500000</td>\n",
       "      <td>2.167948</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>6.534524</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.516398</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.516398</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.516398</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.516398</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Z.Pascal</td>\n",
       "      <td>0.569444</td>\n",
       "      <td>72</td>\n",
       "      <td>41.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.121951</td>\n",
       "      <td>0.331295</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>9.073171</td>\n",
       "      <td>7.370177</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.731707</td>\n",
       "      <td>6.438262</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.156174</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.195122</td>\n",
       "      <td>0.401218</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.780488</td>\n",
       "      <td>0.419058</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.097561</td>\n",
       "      <td>0.300406</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.463415</td>\n",
       "      <td>0.504854</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.414634</td>\n",
       "      <td>0.498779</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.02439</td>\n",
       "      <td>0.156174</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Z.Zenner</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.828427</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>7.778175</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      catch_pct  targets  catches  pass_touchdown_max  \\\n",
       "receiver_player_name                                                    \n",
       "A.Abdullah             0.714286       21     15.0                 1.0   \n",
       "A.Armah                1.000000        2      2.0                 0.0   \n",
       "A.Auclair              0.333333        3      1.0                 0.0   \n",
       "A.Beck                 0.750000       12      9.0                 1.0   \n",
       "A.Brown                0.615385       91     56.0                 1.0   \n",
       "...                         ...      ...      ...                 ...   \n",
       "Z.Gentry               1.000000        1      1.0                 0.0   \n",
       "Z.Jones                0.600000       45     27.0                 0.0   \n",
       "Z.Line                 0.600000       10      6.0                 0.0   \n",
       "Z.Pascal               0.569444       72     41.0                 1.0   \n",
       "Z.Zenner               0.666667        3      2.0                 0.0   \n",
       "\n",
       "                      pass_touchdown_min  pass_touchdown_mean  \\\n",
       "receiver_player_name                                            \n",
       "A.Abdullah                           0.0             0.066667   \n",
       "A.Armah                              0.0             0.000000   \n",
       "A.Auclair                            0.0             0.000000   \n",
       "A.Beck                               0.0             0.111111   \n",
       "A.Brown                              0.0             0.160714   \n",
       "...                                  ...                  ...   \n",
       "Z.Gentry                             0.0             0.000000   \n",
       "Z.Jones                              0.0             0.000000   \n",
       "Z.Line                               0.0             0.000000   \n",
       "Z.Pascal                             0.0             0.121951   \n",
       "Z.Zenner                             0.0             0.000000   \n",
       "\n",
       "                      pass_touchdown_std  complete_pass_max  \\\n",
       "receiver_player_name                                          \n",
       "A.Abdullah                      0.258199                1.0   \n",
       "A.Armah                         0.000000                1.0   \n",
       "A.Auclair                            NaN                1.0   \n",
       "A.Beck                          0.333333                1.0   \n",
       "A.Brown                         0.370591                1.0   \n",
       "...                                  ...                ...   \n",
       "Z.Gentry                             NaN                1.0   \n",
       "Z.Jones                         0.000000                1.0   \n",
       "Z.Line                          0.000000                1.0   \n",
       "Z.Pascal                        0.331295                1.0   \n",
       "Z.Zenner                        0.000000                1.0   \n",
       "\n",
       "                      complete_pass_min  complete_pass_mean  \\\n",
       "receiver_player_name                                          \n",
       "A.Abdullah                          1.0                 1.0   \n",
       "A.Armah                             1.0                 1.0   \n",
       "A.Auclair                           1.0                 1.0   \n",
       "A.Beck                              1.0                 1.0   \n",
       "A.Brown                             1.0                 1.0   \n",
       "...                                 ...                 ...   \n",
       "Z.Gentry                            1.0                 1.0   \n",
       "Z.Jones                             1.0                 1.0   \n",
       "Z.Line                              1.0                 1.0   \n",
       "Z.Pascal                            1.0                 1.0   \n",
       "Z.Zenner                            1.0                 1.0   \n",
       "\n",
       "                      complete_pass_std  air_yards_max  air_yards_min  \\\n",
       "receiver_player_name                                                    \n",
       "A.Abdullah                          0.0            5.0           -5.0   \n",
       "A.Armah                             0.0            3.0           -4.0   \n",
       "A.Auclair                           NaN            3.0            3.0   \n",
       "A.Beck                              0.0           12.0           -5.0   \n",
       "A.Brown                             0.0           47.0           -3.0   \n",
       "...                                 ...            ...            ...   \n",
       "Z.Gentry                            NaN            2.0            2.0   \n",
       "Z.Jones                             0.0           19.0           -4.0   \n",
       "Z.Line                              0.0            1.0           -5.0   \n",
       "Z.Pascal                            0.0           22.0           -4.0   \n",
       "Z.Zenner                            0.0            2.0           -2.0   \n",
       "\n",
       "                      air_yards_mean  air_yards_std  yards_after_catch_max  \\\n",
       "receiver_player_name                                                         \n",
       "A.Abdullah                  0.600000       2.823372                   11.0   \n",
       "A.Armah                    -0.500000       4.949747                    6.0   \n",
       "A.Auclair                   3.000000            NaN                    8.0   \n",
       "A.Beck                      2.555556       5.659309                   19.0   \n",
       "A.Brown                    11.339286      10.598931                   52.0   \n",
       "...                              ...            ...                    ...   \n",
       "Z.Gentry                    2.000000            NaN                    2.0   \n",
       "Z.Jones                     5.148148       5.565717                   10.0   \n",
       "Z.Line                     -1.500000       2.167948                   17.0   \n",
       "Z.Pascal                    9.073171       7.370177                   22.0   \n",
       "Z.Zenner                    0.000000       2.828427                   15.0   \n",
       "\n",
       "                      yards_after_catch_min  yards_after_catch_mean  \\\n",
       "receiver_player_name                                                  \n",
       "A.Abdullah                              0.0                5.266667   \n",
       "A.Armah                                 1.0                3.500000   \n",
       "A.Auclair                               8.0                8.000000   \n",
       "A.Beck                                  0.0                7.444444   \n",
       "A.Brown                                -2.0                8.428571   \n",
       "...                                     ...                     ...   \n",
       "Z.Gentry                                2.0                2.000000   \n",
       "Z.Jones                                -1.0                2.851852   \n",
       "Z.Line                                  1.0                7.500000   \n",
       "Z.Pascal                                0.0                5.731707   \n",
       "Z.Zenner                                4.0                9.500000   \n",
       "\n",
       "                      yards_after_catch_std  explosive_yac_max  \\\n",
       "receiver_player_name                                             \n",
       "A.Abdullah                         4.300609              False   \n",
       "A.Armah                            3.535534              False   \n",
       "A.Auclair                               NaN              False   \n",
       "A.Beck                             7.019813              False   \n",
       "A.Brown                           13.215497               True   \n",
       "...                                     ...                ...   \n",
       "Z.Gentry                                NaN              False   \n",
       "Z.Jones                            3.254626              False   \n",
       "Z.Line                             6.534524              False   \n",
       "Z.Pascal                           6.438262               True   \n",
       "Z.Zenner                           7.778175              False   \n",
       "\n",
       "                      explosive_yac_min  explosive_yac_mean  \\\n",
       "receiver_player_name                                          \n",
       "A.Abdullah                        False            0.000000   \n",
       "A.Armah                           False            0.000000   \n",
       "A.Auclair                         False            0.000000   \n",
       "A.Beck                            False            0.000000   \n",
       "A.Brown                           False            0.107143   \n",
       "...                                 ...                 ...   \n",
       "Z.Gentry                          False            0.000000   \n",
       "Z.Jones                           False            0.000000   \n",
       "Z.Line                            False            0.000000   \n",
       "Z.Pascal                          False            0.024390   \n",
       "Z.Zenner                          False            0.000000   \n",
       "\n",
       "                      explosive_yac_std  midyac_max  midyac_min  midyac_mean  \\\n",
       "receiver_player_name                                                           \n",
       "A.Abdullah                     0.000000        True       False     0.266667   \n",
       "A.Armah                        0.000000       False       False     0.000000   \n",
       "A.Auclair                           NaN       False       False     0.000000   \n",
       "A.Beck                         0.000000        True       False     0.333333   \n",
       "A.Brown                        0.312094        True       False     0.178571   \n",
       "...                                 ...         ...         ...          ...   \n",
       "Z.Gentry                            NaN       False       False     0.000000   \n",
       "Z.Jones                        0.000000        True       False     0.074074   \n",
       "Z.Line                         0.000000        True       False     0.333333   \n",
       "Z.Pascal                       0.156174        True       False     0.195122   \n",
       "Z.Zenner                       0.000000        True       False     0.500000   \n",
       "\n",
       "                      midyac_std  shortyac_max  shortyac_min  shortyac_mean  \\\n",
       "receiver_player_name                                                          \n",
       "A.Abdullah              0.457738          True         False       0.733333   \n",
       "A.Armah                 0.000000          True          True       1.000000   \n",
       "A.Auclair                    NaN          True          True       1.000000   \n",
       "A.Beck                  0.500000          True         False       0.666667   \n",
       "A.Brown                 0.386459          True         False       0.714286   \n",
       "...                          ...           ...           ...            ...   \n",
       "Z.Gentry                     NaN          True          True       1.000000   \n",
       "Z.Jones                 0.266880          True         False       0.925926   \n",
       "Z.Line                  0.516398          True         False       0.666667   \n",
       "Z.Pascal                0.401218          True         False       0.780488   \n",
       "Z.Zenner                0.707107          True         False       0.500000   \n",
       "\n",
       "                      shortyac_std  screen_max  screen_min  screen_mean  \\\n",
       "receiver_player_name                                                      \n",
       "A.Abdullah                0.457738        True       False     0.400000   \n",
       "A.Armah                   0.000000        True       False     0.500000   \n",
       "A.Auclair                      NaN       False       False     0.000000   \n",
       "A.Beck                    0.500000        True       False     0.444444   \n",
       "A.Brown                   0.455842        True       False     0.035714   \n",
       "...                            ...         ...         ...          ...   \n",
       "Z.Gentry                       NaN       False       False     0.000000   \n",
       "Z.Jones                   0.266880        True       False     0.111111   \n",
       "Z.Line                    0.516398        True       False     0.666667   \n",
       "Z.Pascal                  0.419058        True       False     0.097561   \n",
       "Z.Zenner                  0.707107        True       False     0.500000   \n",
       "\n",
       "                      screen_std  shortroute_max  shortroute_min  \\\n",
       "receiver_player_name                                               \n",
       "A.Abdullah              0.507093            True           False   \n",
       "A.Armah                 0.707107            True           False   \n",
       "A.Auclair                    NaN            True            True   \n",
       "A.Beck                  0.527046            True           False   \n",
       "A.Brown                 0.187256            True           False   \n",
       "...                          ...             ...             ...   \n",
       "Z.Gentry                     NaN            True            True   \n",
       "Z.Jones                 0.320256            True           False   \n",
       "Z.Line                  0.516398            True           False   \n",
       "Z.Pascal                0.300406            True           False   \n",
       "Z.Zenner                0.707107            True           False   \n",
       "\n",
       "                      shortroute_mean  shortroute_std  intermediateroute_max  \\\n",
       "receiver_player_name                                                           \n",
       "A.Abdullah                   0.600000        0.507093                  False   \n",
       "A.Armah                      0.500000        0.707107                  False   \n",
       "A.Auclair                    1.000000             NaN                  False   \n",
       "A.Beck                       0.444444        0.527046                   True   \n",
       "A.Brown                      0.482143        0.504203                   True   \n",
       "...                               ...             ...                    ...   \n",
       "Z.Gentry                     1.000000             NaN                  False   \n",
       "Z.Jones                      0.703704        0.465322                   True   \n",
       "Z.Line                       0.333333        0.516398                  False   \n",
       "Z.Pascal                     0.463415        0.504854                   True   \n",
       "Z.Zenner                     0.500000        0.707107                  False   \n",
       "\n",
       "                      intermediateroute_min  intermediateroute_mean  \\\n",
       "receiver_player_name                                                  \n",
       "A.Abdullah                            False                0.000000   \n",
       "A.Armah                               False                0.000000   \n",
       "A.Auclair                             False                0.000000   \n",
       "A.Beck                                False                0.111111   \n",
       "A.Brown                               False                0.410714   \n",
       "...                                     ...                     ...   \n",
       "Z.Gentry                              False                0.000000   \n",
       "Z.Jones                               False                0.222222   \n",
       "Z.Line                                False                0.000000   \n",
       "Z.Pascal                              False                0.414634   \n",
       "Z.Zenner                              False                0.000000   \n",
       "\n",
       "                      intermediateroute_std  deeproute_max  deeproute_min  \\\n",
       "receiver_player_name                                                        \n",
       "A.Abdullah                         0.000000          False          False   \n",
       "A.Armah                            0.000000          False          False   \n",
       "A.Auclair                               NaN          False          False   \n",
       "A.Beck                             0.333333          False          False   \n",
       "A.Brown                            0.496416           True          False   \n",
       "...                                     ...            ...            ...   \n",
       "Z.Gentry                                NaN          False          False   \n",
       "Z.Jones                            0.423659          False          False   \n",
       "Z.Line                             0.000000          False          False   \n",
       "Z.Pascal                           0.498779           True          False   \n",
       "Z.Zenner                           0.000000          False          False   \n",
       "\n",
       "                      deeproute_mean  deeproute_std  deepshots_max  \\\n",
       "receiver_player_name                                                 \n",
       "A.Abdullah                   0.00000       0.000000          False   \n",
       "A.Armah                      0.00000       0.000000          False   \n",
       "A.Auclair                    0.00000            NaN          False   \n",
       "A.Beck                       0.00000       0.000000          False   \n",
       "A.Brown                      0.12500       0.333712           True   \n",
       "...                              ...            ...            ...   \n",
       "Z.Gentry                     0.00000            NaN          False   \n",
       "Z.Jones                      0.00000       0.000000          False   \n",
       "Z.Line                       0.00000       0.000000          False   \n",
       "Z.Pascal                     0.02439       0.156174          False   \n",
       "Z.Zenner                     0.00000       0.000000          False   \n",
       "\n",
       "                      deepshots_min  deepshots_mean  deepshots_std  \n",
       "receiver_player_name                                                \n",
       "A.Abdullah                    False        0.000000       0.000000  \n",
       "A.Armah                       False        0.000000       0.000000  \n",
       "A.Auclair                     False        0.000000            NaN  \n",
       "A.Beck                        False        0.000000       0.000000  \n",
       "A.Brown                       False        0.053571       0.227208  \n",
       "...                             ...             ...            ...  \n",
       "Z.Gentry                      False        0.000000            NaN  \n",
       "Z.Jones                       False        0.000000       0.000000  \n",
       "Z.Line                        False        0.000000       0.000000  \n",
       "Z.Pascal                      False        0.000000       0.000000  \n",
       "Z.Zenner                      False        0.000000       0.000000  \n",
       "\n",
       "[477 rows x 51 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 20;\n",
       "                var nbb_unformatted_code = \"master_wr\";\n",
       "                var nbb_formatted_code = \"master_wr\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "master_wr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this point ive got my full dataframe with the information aggregated on their names."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Cleaning\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dropping columns that I dont need for further analysis. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 21;\n",
       "                var nbb_unformatted_code = \"# Dropping Text columns because no nlp will be used\\nbounced_columns = [\\n    \\\"intermediateroute_min\\\",\\n    \\\"deeproute_std\\\",\\n    \\\"deeproute_min\\\",\\n    \\\"deeproute_max\\\",\\n    \\\"pass_touchdown_max\\\",\\n    \\\"pass_touchdown_min\\\",\\n    \\\"pass_touchdown_std\\\",\\n    \\\"complete_pass_max\\\",\\n    \\\"complete_pass_min\\\",\\n    \\\"complete_pass_std\\\",\\n    \\\"explosive_yac_max\\\",\\n    \\\"explosive_yac_min\\\",\\n    \\\"explosive_yac_std\\\",\\n    \\\"midyac_max\\\",\\n    \\\"midyac_std\\\",\\n    \\\"shortyac_max\\\",\\n    \\\"shortyac_min\\\",\\n    \\\"screen_max\\\",\\n    \\\"screen_min\\\",\\n    \\\"shortroute_max\\\",\\n    \\\"shortroute_min\\\",\\n    \\\"shortroute_std\\\",\\n    \\\"intermediateroute_min\\\",\\n    \\\"intermediateroute_std\\\",\\n    \\\"complete_pass_mean\\\",\\n    \\\"intermediateroute_max\\\",\\n    \\\"midyac_min\\\",\\n    \\\"deepshots_min\\\",\\n    \\\"deepshots_max\\\",\\n    \\\"deeproute_std\\\",\\n]\\nmaster_wr = master_wr.drop(bounced_columns, axis=1)\";\n",
       "                var nbb_formatted_code = \"# Dropping Text columns because no nlp will be used\\nbounced_columns = [\\n    \\\"intermediateroute_min\\\",\\n    \\\"deeproute_std\\\",\\n    \\\"deeproute_min\\\",\\n    \\\"deeproute_max\\\",\\n    \\\"pass_touchdown_max\\\",\\n    \\\"pass_touchdown_min\\\",\\n    \\\"pass_touchdown_std\\\",\\n    \\\"complete_pass_max\\\",\\n    \\\"complete_pass_min\\\",\\n    \\\"complete_pass_std\\\",\\n    \\\"explosive_yac_max\\\",\\n    \\\"explosive_yac_min\\\",\\n    \\\"explosive_yac_std\\\",\\n    \\\"midyac_max\\\",\\n    \\\"midyac_std\\\",\\n    \\\"shortyac_max\\\",\\n    \\\"shortyac_min\\\",\\n    \\\"screen_max\\\",\\n    \\\"screen_min\\\",\\n    \\\"shortroute_max\\\",\\n    \\\"shortroute_min\\\",\\n    \\\"shortroute_std\\\",\\n    \\\"intermediateroute_min\\\",\\n    \\\"intermediateroute_std\\\",\\n    \\\"complete_pass_mean\\\",\\n    \\\"intermediateroute_max\\\",\\n    \\\"midyac_min\\\",\\n    \\\"deepshots_min\\\",\\n    \\\"deepshots_max\\\",\\n    \\\"deeproute_std\\\",\\n]\\nmaster_wr = master_wr.drop(bounced_columns, axis=1)\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Dropping Text columns because no nlp will be used\n",
    "bounced_columns = [\n",
    "    \"intermediateroute_min\",\n",
    "    \"deeproute_std\",\n",
    "    \"deeproute_min\",\n",
    "    \"deeproute_max\",\n",
    "    \"pass_touchdown_max\",\n",
    "    \"pass_touchdown_min\",\n",
    "    \"pass_touchdown_std\",\n",
    "    \"complete_pass_max\",\n",
    "    \"complete_pass_min\",\n",
    "    \"complete_pass_std\",\n",
    "    \"explosive_yac_max\",\n",
    "    \"explosive_yac_min\",\n",
    "    \"explosive_yac_std\",\n",
    "    \"midyac_max\",\n",
    "    \"midyac_std\",\n",
    "    \"shortyac_max\",\n",
    "    \"shortyac_min\",\n",
    "    \"screen_max\",\n",
    "    \"screen_min\",\n",
    "    \"shortroute_max\",\n",
    "    \"shortroute_min\",\n",
    "    \"shortroute_std\",\n",
    "    \"intermediateroute_min\",\n",
    "    \"intermediateroute_std\",\n",
    "    \"complete_pass_mean\",\n",
    "    \"intermediateroute_max\",\n",
    "    \"midyac_min\",\n",
    "    \"deepshots_min\",\n",
    "    \"deepshots_max\",\n",
    "    \"deeproute_std\",\n",
    "]\n",
    "master_wr = master_wr.drop(bounced_columns, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 22;\n",
       "                var nbb_unformatted_code = \"# Where I can set the target threshold the dataframe.\\nmask = master_wr[\\\"targets\\\"] >= 43\\nmaster_wr = master_wr[mask]\";\n",
       "                var nbb_formatted_code = \"# Where I can set the target threshold the dataframe.\\nmask = master_wr[\\\"targets\\\"] >= 43\\nmaster_wr = master_wr[mask]\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Where I can set the target threshold the dataframe.\n",
    "mask = master_wr[\"targets\"] >= 43\n",
    "master_wr = master_wr[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C212188>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4B9E2FC8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BB50908>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BC3B108>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4B9E5608>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BC83608>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BCB4E08>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BCEBB88>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BCF3A08>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BD28C88>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BD94208>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BDCC308>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4BE04408>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C2CA548>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C30AE48>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C33B708>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C374848>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C3AB948>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C3E3A48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C41BB88>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C453C88>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C48BD08>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C4C2E48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C4F9F48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001EC4C538148>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 23;\n",
       "                var nbb_unformatted_code = \"# Plotting the distribution of numerical and boolean categories\\nmaster_wr.hist(figsize=(20, 20))\";\n",
       "                var nbb_formatted_code = \"# Plotting the distribution of numerical and boolean categories\\nmaster_wr.hist(figsize=(20, 20))\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the distribution of numerical and boolean categories\n",
    "master_wr.hist(figsize=(20, 20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 24;\n",
       "                var nbb_unformatted_code = \"# Renaming columns to something more fitting\\nmaster_wr = master_wr.rename(\\n    columns={\\n        \\\"catches\\\": \\\"receptions\\\",\\n        \\\"air_yards_mean\\\": \\\"avg_airyds\\\",\\n        \\\"yards_after_catch_mean\\\": \\\"average_yac\\\",\\n        \\\"explosive_yac_mean\\\": \\\"explosive_yac_pct\\\",\\n        \\\"midyac_mean\\\": \\\"mid_yac_pct\\\",\\n        \\\"shortyac_mean\\\": \\\"short_yac_pct\\\",\\n        \\\"screen_mean\\\": \\\"screen_pct\\\",\\n        \\\"shortroute_mean\\\": \\\"shortrt_pct\\\",\\n        \\\"intermediateroute_mean\\\": \\\"intermediatert_pct\\\",\\n        \\\"deeproute_mean\\\": \\\"deeprt_pct\\\",\\n    }\\n)\";\n",
       "                var nbb_formatted_code = \"# Renaming columns to something more fitting\\nmaster_wr = master_wr.rename(\\n    columns={\\n        \\\"catches\\\": \\\"receptions\\\",\\n        \\\"air_yards_mean\\\": \\\"avg_airyds\\\",\\n        \\\"yards_after_catch_mean\\\": \\\"average_yac\\\",\\n        \\\"explosive_yac_mean\\\": \\\"explosive_yac_pct\\\",\\n        \\\"midyac_mean\\\": \\\"mid_yac_pct\\\",\\n        \\\"shortyac_mean\\\": \\\"short_yac_pct\\\",\\n        \\\"screen_mean\\\": \\\"screen_pct\\\",\\n        \\\"shortroute_mean\\\": \\\"shortrt_pct\\\",\\n        \\\"intermediateroute_mean\\\": \\\"intermediatert_pct\\\",\\n        \\\"deeproute_mean\\\": \\\"deeprt_pct\\\",\\n    }\\n)\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Renaming columns to something more fitting\n",
    "master_wr = master_wr.rename(\n",
    "    columns={\n",
    "        \"catches\": \"receptions\",\n",
    "        \"air_yards_mean\": \"avg_airyds\",\n",
    "        \"yards_after_catch_mean\": \"average_yac\",\n",
    "        \"explosive_yac_mean\": \"explosive_yac_pct\",\n",
    "        \"midyac_mean\": \"mid_yac_pct\",\n",
    "        \"shortyac_mean\": \"short_yac_pct\",\n",
    "        \"screen_mean\": \"screen_pct\",\n",
    "        \"shortroute_mean\": \"shortrt_pct\",\n",
    "        \"intermediateroute_mean\": \"intermediatert_pct\",\n",
    "        \"deeproute_mean\": \"deeprt_pct\",\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 45;\n",
       "                var nbb_unformatted_code = \"master_wr.to_csv('cleaned_nfl.csv')\";\n",
       "                var nbb_formatted_code = \"master_wr.to_csv(\\\"cleaned_nfl.csv\\\")\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "master_wr.to_csv(\"cleaned_nfl.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Analyzing Clusters "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 38;\n",
       "                var nbb_unformatted_code = \"# merge my two dataframes\\nwr_cluster = master_wr.merge(wr_tsne, on=\\\"receiver_player_name\\\")\";\n",
       "                var nbb_formatted_code = \"# merge my two dataframes\\nwr_cluster = master_wr.merge(wr_tsne, on=\\\"receiver_player_name\\\")\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# merge my two dataframes\n",
    "wr_cluster = master_wr.merge(wr_tsne, on=\"receiver_player_name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>catch_pct</th>\n",
       "      <th>targets</th>\n",
       "      <th>receptions</th>\n",
       "      <th>pass_touchdown_mean</th>\n",
       "      <th>air_yards_max</th>\n",
       "      <th>air_yards_min</th>\n",
       "      <th>avg_airyds</th>\n",
       "      <th>air_yards_std</th>\n",
       "      <th>yards_after_catch_max</th>\n",
       "      <th>yards_after_catch_min</th>\n",
       "      <th>average_yac</th>\n",
       "      <th>yards_after_catch_std</th>\n",
       "      <th>explosive_yac_pct</th>\n",
       "      <th>mid_yac_pct</th>\n",
       "      <th>short_yac_pct</th>\n",
       "      <th>shortyac_std</th>\n",
       "      <th>screen_pct</th>\n",
       "      <th>screen_std</th>\n",
       "      <th>shortrt_pct</th>\n",
       "      <th>intermediatert_pct</th>\n",
       "      <th>deeprt_pct</th>\n",
       "      <th>deepshots_mean</th>\n",
       "      <th>deepshots_std</th>\n",
       "      <th>x1</th>\n",
       "      <th>x2</th>\n",
       "      <th>clst_label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receiver_player_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>A.Brown</td>\n",
       "      <td>0.615385</td>\n",
       "      <td>91</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.160714</td>\n",
       "      <td>47.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>11.339286</td>\n",
       "      <td>10.598931</td>\n",
       "      <td>52.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>8.428571</td>\n",
       "      <td>13.215497</td>\n",
       "      <td>0.107143</td>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.455842</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.187256</td>\n",
       "      <td>0.482143</td>\n",
       "      <td>0.410714</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.053571</td>\n",
       "      <td>0.227208</td>\n",
       "      <td>-30.992144</td>\n",
       "      <td>48.495564</td>\n",
       "      <td>'0'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Cooper</td>\n",
       "      <td>0.663866</td>\n",
       "      <td>119</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.101266</td>\n",
       "      <td>45.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>11.531646</td>\n",
       "      <td>8.631836</td>\n",
       "      <td>68.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>3.518987</td>\n",
       "      <td>8.682226</td>\n",
       "      <td>0.025316</td>\n",
       "      <td>0.088608</td>\n",
       "      <td>0.886076</td>\n",
       "      <td>0.319749</td>\n",
       "      <td>0.012658</td>\n",
       "      <td>0.112509</td>\n",
       "      <td>0.518987</td>\n",
       "      <td>0.367089</td>\n",
       "      <td>0.126582</td>\n",
       "      <td>0.012658</td>\n",
       "      <td>0.112509</td>\n",
       "      <td>-11.100657</td>\n",
       "      <td>30.643438</td>\n",
       "      <td>'0'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Ekeler</td>\n",
       "      <td>0.851852</td>\n",
       "      <td>108</td>\n",
       "      <td>92.0</td>\n",
       "      <td>0.086957</td>\n",
       "      <td>36.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>0.576087</td>\n",
       "      <td>6.866440</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.217391</td>\n",
       "      <td>11.377466</td>\n",
       "      <td>0.054348</td>\n",
       "      <td>0.380435</td>\n",
       "      <td>0.565217</td>\n",
       "      <td>0.498445</td>\n",
       "      <td>0.434783</td>\n",
       "      <td>0.498445</td>\n",
       "      <td>0.510870</td>\n",
       "      <td>0.032609</td>\n",
       "      <td>0.032609</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.176703</td>\n",
       "      <td>-63.494709</td>\n",
       "      <td>'1'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Erickson</td>\n",
       "      <td>0.551282</td>\n",
       "      <td>78</td>\n",
       "      <td>43.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>6.046512</td>\n",
       "      <td>7.444888</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.255814</td>\n",
       "      <td>6.736867</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>0.255814</td>\n",
       "      <td>0.720930</td>\n",
       "      <td>0.453850</td>\n",
       "      <td>0.046512</td>\n",
       "      <td>0.213083</td>\n",
       "      <td>0.813953</td>\n",
       "      <td>0.255814</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>0.152499</td>\n",
       "      <td>11.913370</td>\n",
       "      <td>-22.394947</td>\n",
       "      <td>'2'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>A.Hooper</td>\n",
       "      <td>0.765306</td>\n",
       "      <td>98</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>27.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>6.026667</td>\n",
       "      <td>6.495265</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.466667</td>\n",
       "      <td>5.534495</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.106667</td>\n",
       "      <td>0.880000</td>\n",
       "      <td>0.327150</td>\n",
       "      <td>0.106667</td>\n",
       "      <td>0.310768</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.026667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>15.896349</td>\n",
       "      <td>7.158365</td>\n",
       "      <td>'2'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>V.McDonald</td>\n",
       "      <td>0.690909</td>\n",
       "      <td>55</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.078947</td>\n",
       "      <td>13.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>2.657895</td>\n",
       "      <td>3.743653</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.526316</td>\n",
       "      <td>4.780234</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.157895</td>\n",
       "      <td>0.842105</td>\n",
       "      <td>0.369537</td>\n",
       "      <td>0.210526</td>\n",
       "      <td>0.413155</td>\n",
       "      <td>0.763158</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>29.853025</td>\n",
       "      <td>-7.045512</td>\n",
       "      <td>'2'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>W.Fuller</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>70</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.061224</td>\n",
       "      <td>50.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>9.204082</td>\n",
       "      <td>12.592954</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.469388</td>\n",
       "      <td>5.788286</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.836735</td>\n",
       "      <td>0.373438</td>\n",
       "      <td>0.163265</td>\n",
       "      <td>0.373438</td>\n",
       "      <td>0.591837</td>\n",
       "      <td>0.081633</td>\n",
       "      <td>0.183673</td>\n",
       "      <td>0.040816</td>\n",
       "      <td>0.199915</td>\n",
       "      <td>-33.408028</td>\n",
       "      <td>34.335522</td>\n",
       "      <td>'0'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Z.Ertz</td>\n",
       "      <td>0.651852</td>\n",
       "      <td>135</td>\n",
       "      <td>88.0</td>\n",
       "      <td>0.068182</td>\n",
       "      <td>23.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>7.397727</td>\n",
       "      <td>5.722590</td>\n",
       "      <td>21.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>3.011364</td>\n",
       "      <td>4.416516</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.897727</td>\n",
       "      <td>0.304743</td>\n",
       "      <td>0.034091</td>\n",
       "      <td>0.182503</td>\n",
       "      <td>0.704545</td>\n",
       "      <td>0.284091</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.691404</td>\n",
       "      <td>8.638183</td>\n",
       "      <td>'2'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Z.Jones</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>45</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>5.148148</td>\n",
       "      <td>5.565717</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.851852</td>\n",
       "      <td>3.254626</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>0.266880</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.320256</td>\n",
       "      <td>0.703704</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>28.675001</td>\n",
       "      <td>10.509697</td>\n",
       "      <td>'2'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Z.Pascal</td>\n",
       "      <td>0.569444</td>\n",
       "      <td>72</td>\n",
       "      <td>41.0</td>\n",
       "      <td>0.121951</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>9.073171</td>\n",
       "      <td>7.370177</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.731707</td>\n",
       "      <td>6.438262</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.195122</td>\n",
       "      <td>0.780488</td>\n",
       "      <td>0.419058</td>\n",
       "      <td>0.097561</td>\n",
       "      <td>0.300406</td>\n",
       "      <td>0.463415</td>\n",
       "      <td>0.414634</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-9.891603</td>\n",
       "      <td>4.482849</td>\n",
       "      <td>'4'</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>160 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      catch_pct  targets  receptions  pass_touchdown_mean  \\\n",
       "receiver_player_name                                                        \n",
       "A.Brown                0.615385       91        56.0             0.160714   \n",
       "A.Cooper               0.663866      119        79.0             0.101266   \n",
       "A.Ekeler               0.851852      108        92.0             0.086957   \n",
       "A.Erickson             0.551282       78        43.0             0.000000   \n",
       "A.Hooper               0.765306       98        75.0             0.080000   \n",
       "...                         ...      ...         ...                  ...   \n",
       "V.McDonald             0.690909       55        38.0             0.078947   \n",
       "W.Fuller               0.700000       70        49.0             0.061224   \n",
       "Z.Ertz                 0.651852      135        88.0             0.068182   \n",
       "Z.Jones                0.600000       45        27.0             0.000000   \n",
       "Z.Pascal               0.569444       72        41.0             0.121951   \n",
       "\n",
       "                      air_yards_max  air_yards_min  avg_airyds  air_yards_std  \\\n",
       "receiver_player_name                                                            \n",
       "A.Brown                        47.0           -3.0   11.339286      10.598931   \n",
       "A.Cooper                       45.0          -15.0   11.531646       8.631836   \n",
       "A.Ekeler                       36.0           -7.0    0.576087       6.866440   \n",
       "A.Erickson                     40.0           -5.0    6.046512       7.444888   \n",
       "A.Hooper                       27.0           -6.0    6.026667       6.495265   \n",
       "...                             ...            ...         ...            ...   \n",
       "V.McDonald                     13.0           -5.0    2.657895       3.743653   \n",
       "W.Fuller                       50.0           -5.0    9.204082      12.592954   \n",
       "Z.Ertz                         23.0           -1.0    7.397727       5.722590   \n",
       "Z.Jones                        19.0           -4.0    5.148148       5.565717   \n",
       "Z.Pascal                       22.0           -4.0    9.073171       7.370177   \n",
       "\n",
       "                      yards_after_catch_max  yards_after_catch_min  \\\n",
       "receiver_player_name                                                 \n",
       "A.Brown                                52.0                   -2.0   \n",
       "A.Cooper                               68.0                   -1.0   \n",
       "A.Ekeler                               85.0                    0.0   \n",
       "A.Erickson                             32.0                    0.0   \n",
       "A.Hooper                               39.0                    0.0   \n",
       "...                                     ...                    ...   \n",
       "V.McDonald                             18.0                    0.0   \n",
       "W.Fuller                               31.0                    0.0   \n",
       "Z.Ertz                                 21.0                   -1.0   \n",
       "Z.Jones                                10.0                   -1.0   \n",
       "Z.Pascal                               22.0                    0.0   \n",
       "\n",
       "                      average_yac  yards_after_catch_std  explosive_yac_pct  \\\n",
       "receiver_player_name                                                          \n",
       "A.Brown                  8.428571              13.215497           0.107143   \n",
       "A.Cooper                 3.518987               8.682226           0.025316   \n",
       "A.Ekeler                10.217391              11.377466           0.054348   \n",
       "A.Erickson               6.255814               6.736867           0.023256   \n",
       "A.Hooper                 4.466667               5.534495           0.013333   \n",
       "...                           ...                    ...                ...   \n",
       "V.McDonald               4.526316               4.780234           0.000000   \n",
       "W.Fuller                 4.469388               5.788286           0.020408   \n",
       "Z.Ertz                   3.011364               4.416516           0.011364   \n",
       "Z.Jones                  2.851852               3.254626           0.000000   \n",
       "Z.Pascal                 5.731707               6.438262           0.024390   \n",
       "\n",
       "                      mid_yac_pct  short_yac_pct  shortyac_std  screen_pct  \\\n",
       "receiver_player_name                                                         \n",
       "A.Brown                  0.178571       0.714286      0.455842    0.035714   \n",
       "A.Cooper                 0.088608       0.886076      0.319749    0.012658   \n",
       "A.Ekeler                 0.380435       0.565217      0.498445    0.434783   \n",
       "A.Erickson               0.255814       0.720930      0.453850    0.046512   \n",
       "A.Hooper                 0.106667       0.880000      0.327150    0.106667   \n",
       "...                           ...            ...           ...         ...   \n",
       "V.McDonald               0.157895       0.842105      0.369537    0.210526   \n",
       "W.Fuller                 0.142857       0.836735      0.373438    0.163265   \n",
       "Z.Ertz                   0.090909       0.897727      0.304743    0.034091   \n",
       "Z.Jones                  0.074074       0.925926      0.266880    0.111111   \n",
       "Z.Pascal                 0.195122       0.780488      0.419058    0.097561   \n",
       "\n",
       "                      screen_std  shortrt_pct  intermediatert_pct  deeprt_pct  \\\n",
       "receiver_player_name                                                            \n",
       "A.Brown                 0.187256     0.482143            0.410714    0.125000   \n",
       "A.Cooper                0.112509     0.518987            0.367089    0.126582   \n",
       "A.Ekeler                0.498445     0.510870            0.032609    0.032609   \n",
       "A.Erickson              0.213083     0.813953            0.255814    0.023256   \n",
       "A.Hooper                0.310768     0.666667            0.240000    0.026667   \n",
       "...                          ...          ...                 ...         ...   \n",
       "V.McDonald              0.413155     0.763158            0.026316    0.000000   \n",
       "W.Fuller                0.373438     0.591837            0.081633    0.183673   \n",
       "Z.Ertz                  0.182503     0.704545            0.284091    0.011364   \n",
       "Z.Jones                 0.320256     0.703704            0.222222    0.000000   \n",
       "Z.Pascal                0.300406     0.463415            0.414634    0.024390   \n",
       "\n",
       "                      deepshots_mean  deepshots_std         x1         x2  \\\n",
       "receiver_player_name                                                        \n",
       "A.Brown                     0.053571       0.227208 -30.992144  48.495564   \n",
       "A.Cooper                    0.012658       0.112509 -11.100657  30.643438   \n",
       "A.Ekeler                    0.000000       0.000000   8.176703 -63.494709   \n",
       "A.Erickson                  0.023256       0.152499  11.913370 -22.394947   \n",
       "A.Hooper                    0.000000       0.000000  15.896349   7.158365   \n",
       "...                              ...            ...        ...        ...   \n",
       "V.McDonald                  0.000000       0.000000  29.853025  -7.045512   \n",
       "W.Fuller                    0.040816       0.199915 -33.408028  34.335522   \n",
       "Z.Ertz                      0.000000       0.000000  18.691404   8.638183   \n",
       "Z.Jones                     0.000000       0.000000  28.675001  10.509697   \n",
       "Z.Pascal                    0.000000       0.000000  -9.891603   4.482849   \n",
       "\n",
       "                     clst_label  \n",
       "receiver_player_name             \n",
       "A.Brown                     '0'  \n",
       "A.Cooper                    '0'  \n",
       "A.Ekeler                    '1'  \n",
       "A.Erickson                  '2'  \n",
       "A.Hooper                    '2'  \n",
       "...                         ...  \n",
       "V.McDonald                  '2'  \n",
       "W.Fuller                    '0'  \n",
       "Z.Ertz                      '2'  \n",
       "Z.Jones                     '2'  \n",
       "Z.Pascal                    '4'  \n",
       "\n",
       "[160 rows x 26 columns]"
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     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
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    {
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   "execution_count": 41,
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    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>catch_pct</th>\n",
       "      <th>targets</th>\n",
       "      <th>receptions</th>\n",
       "      <th>pass_touchdown_mean</th>\n",
       "      <th>air_yards_max</th>\n",
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       "      <th>yards_after_catch_std</th>\n",
       "      <th>explosive_yac_pct</th>\n",
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       "      <th>short_yac_pct</th>\n",
       "      <th>shortyac_std</th>\n",
       "      <th>screen_pct</th>\n",
       "      <th>screen_std</th>\n",
       "      <th>shortrt_pct</th>\n",
       "      <th>intermediatert_pct</th>\n",
       "      <th>deeprt_pct</th>\n",
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       "      <th>deepshots_std</th>\n",
       "      <th>clst_label</th>\n",
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       "    <tr>\n",
       "      <th>receiver_player_name</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <td>A.Brown</td>\n",
       "      <td>0.615385</td>\n",
       "      <td>91</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.160714</td>\n",
       "      <td>47.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>11.339286</td>\n",
       "      <td>10.598931</td>\n",
       "      <td>52.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>8.428571</td>\n",
       "      <td>13.215497</td>\n",
       "      <td>0.107143</td>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.455842</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.187256</td>\n",
       "      <td>0.482143</td>\n",
       "      <td>0.410714</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.053571</td>\n",
       "      <td>0.227208</td>\n",
       "      <td>'0'</td>\n",
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       "    <tr>\n",
       "      <td>A.Cooper</td>\n",
       "      <td>0.663866</td>\n",
       "      <td>119</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.101266</td>\n",
       "      <td>45.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>11.531646</td>\n",
       "      <td>8.631836</td>\n",
       "      <td>68.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>3.518987</td>\n",
       "      <td>8.682226</td>\n",
       "      <td>0.025316</td>\n",
       "      <td>0.088608</td>\n",
       "      <td>0.886076</td>\n",
       "      <td>0.319749</td>\n",
       "      <td>0.012658</td>\n",
       "      <td>0.112509</td>\n",
       "      <td>0.518987</td>\n",
       "      <td>0.367089</td>\n",
       "      <td>0.126582</td>\n",
       "      <td>0.012658</td>\n",
       "      <td>0.112509</td>\n",
       "      <td>'0'</td>\n",
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       "    <tr>\n",
       "      <td>A.Ekeler</td>\n",
       "      <td>0.851852</td>\n",
       "      <td>108</td>\n",
       "      <td>92.0</td>\n",
       "      <td>0.086957</td>\n",
       "      <td>36.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>0.576087</td>\n",
       "      <td>6.866440</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.217391</td>\n",
       "      <td>11.377466</td>\n",
       "      <td>0.054348</td>\n",
       "      <td>0.380435</td>\n",
       "      <td>0.565217</td>\n",
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       "      <td>0.434783</td>\n",
       "      <td>0.498445</td>\n",
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       "      <td>0.032609</td>\n",
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       "      <td>78</td>\n",
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       "      <td>0.720930</td>\n",
       "      <td>0.453850</td>\n",
       "      <td>0.046512</td>\n",
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       "      <td>98</td>\n",
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       "      <td>39.0</td>\n",
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       "      <td>4.466667</td>\n",
       "      <td>5.534495</td>\n",
       "      <td>0.013333</td>\n",
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       "      <td>0.880000</td>\n",
       "      <td>0.327150</td>\n",
       "      <td>0.106667</td>\n",
       "      <td>0.310768</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.026667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>55</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.078947</td>\n",
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       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.526316</td>\n",
       "      <td>4.780234</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.157895</td>\n",
       "      <td>0.842105</td>\n",
       "      <td>0.369537</td>\n",
       "      <td>0.210526</td>\n",
       "      <td>0.413155</td>\n",
       "      <td>0.763158</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>70</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.061224</td>\n",
       "      <td>50.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>9.204082</td>\n",
       "      <td>12.592954</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.469388</td>\n",
       "      <td>5.788286</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.836735</td>\n",
       "      <td>0.373438</td>\n",
       "      <td>0.163265</td>\n",
       "      <td>0.373438</td>\n",
       "      <td>0.591837</td>\n",
       "      <td>0.081633</td>\n",
       "      <td>0.183673</td>\n",
       "      <td>0.040816</td>\n",
       "      <td>0.199915</td>\n",
       "      <td>'0'</td>\n",
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       "      <td>Z.Ertz</td>\n",
       "      <td>0.651852</td>\n",
       "      <td>135</td>\n",
       "      <td>88.0</td>\n",
       "      <td>0.068182</td>\n",
       "      <td>23.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>7.397727</td>\n",
       "      <td>5.722590</td>\n",
       "      <td>21.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>3.011364</td>\n",
       "      <td>4.416516</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.897727</td>\n",
       "      <td>0.304743</td>\n",
       "      <td>0.034091</td>\n",
       "      <td>0.182503</td>\n",
       "      <td>0.704545</td>\n",
       "      <td>0.284091</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>'2'</td>\n",
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       "    <tr>\n",
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       "      <td>0.600000</td>\n",
       "      <td>45</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>5.148148</td>\n",
       "      <td>5.565717</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.851852</td>\n",
       "      <td>3.254626</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>0.266880</td>\n",
       "      <td>0.111111</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>'2'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Z.Pascal</td>\n",
       "      <td>0.569444</td>\n",
       "      <td>72</td>\n",
       "      <td>41.0</td>\n",
       "      <td>0.121951</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>9.073171</td>\n",
       "      <td>7.370177</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.731707</td>\n",
       "      <td>6.438262</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.195122</td>\n",
       "      <td>0.780488</td>\n",
       "      <td>0.419058</td>\n",
       "      <td>0.097561</td>\n",
       "      <td>0.300406</td>\n",
       "      <td>0.463415</td>\n",
       "      <td>0.414634</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>'4'</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>160 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      catch_pct  targets  receptions  pass_touchdown_mean  \\\n",
       "receiver_player_name                                                        \n",
       "A.Brown                0.615385       91        56.0             0.160714   \n",
       "A.Cooper               0.663866      119        79.0             0.101266   \n",
       "A.Ekeler               0.851852      108        92.0             0.086957   \n",
       "A.Erickson             0.551282       78        43.0             0.000000   \n",
       "A.Hooper               0.765306       98        75.0             0.080000   \n",
       "...                         ...      ...         ...                  ...   \n",
       "V.McDonald             0.690909       55        38.0             0.078947   \n",
       "W.Fuller               0.700000       70        49.0             0.061224   \n",
       "Z.Ertz                 0.651852      135        88.0             0.068182   \n",
       "Z.Jones                0.600000       45        27.0             0.000000   \n",
       "Z.Pascal               0.569444       72        41.0             0.121951   \n",
       "\n",
       "                      air_yards_max  air_yards_min  avg_airyds  air_yards_std  \\\n",
       "receiver_player_name                                                            \n",
       "A.Brown                        47.0           -3.0   11.339286      10.598931   \n",
       "A.Cooper                       45.0          -15.0   11.531646       8.631836   \n",
       "A.Ekeler                       36.0           -7.0    0.576087       6.866440   \n",
       "A.Erickson                     40.0           -5.0    6.046512       7.444888   \n",
       "A.Hooper                       27.0           -6.0    6.026667       6.495265   \n",
       "...                             ...            ...         ...            ...   \n",
       "V.McDonald                     13.0           -5.0    2.657895       3.743653   \n",
       "W.Fuller                       50.0           -5.0    9.204082      12.592954   \n",
       "Z.Ertz                         23.0           -1.0    7.397727       5.722590   \n",
       "Z.Jones                        19.0           -4.0    5.148148       5.565717   \n",
       "Z.Pascal                       22.0           -4.0    9.073171       7.370177   \n",
       "\n",
       "                      yards_after_catch_max  yards_after_catch_min  \\\n",
       "receiver_player_name                                                 \n",
       "A.Brown                                52.0                   -2.0   \n",
       "A.Cooper                               68.0                   -1.0   \n",
       "A.Ekeler                               85.0                    0.0   \n",
       "A.Erickson                             32.0                    0.0   \n",
       "A.Hooper                               39.0                    0.0   \n",
       "...                                     ...                    ...   \n",
       "V.McDonald                             18.0                    0.0   \n",
       "W.Fuller                               31.0                    0.0   \n",
       "Z.Ertz                                 21.0                   -1.0   \n",
       "Z.Jones                                10.0                   -1.0   \n",
       "Z.Pascal                               22.0                    0.0   \n",
       "\n",
       "                      average_yac  yards_after_catch_std  explosive_yac_pct  \\\n",
       "receiver_player_name                                                          \n",
       "A.Brown                  8.428571              13.215497           0.107143   \n",
       "A.Cooper                 3.518987               8.682226           0.025316   \n",
       "A.Ekeler                10.217391              11.377466           0.054348   \n",
       "A.Erickson               6.255814               6.736867           0.023256   \n",
       "A.Hooper                 4.466667               5.534495           0.013333   \n",
       "...                           ...                    ...                ...   \n",
       "V.McDonald               4.526316               4.780234           0.000000   \n",
       "W.Fuller                 4.469388               5.788286           0.020408   \n",
       "Z.Ertz                   3.011364               4.416516           0.011364   \n",
       "Z.Jones                  2.851852               3.254626           0.000000   \n",
       "Z.Pascal                 5.731707               6.438262           0.024390   \n",
       "\n",
       "                      mid_yac_pct  short_yac_pct  shortyac_std  screen_pct  \\\n",
       "receiver_player_name                                                         \n",
       "A.Brown                  0.178571       0.714286      0.455842    0.035714   \n",
       "A.Cooper                 0.088608       0.886076      0.319749    0.012658   \n",
       "A.Ekeler                 0.380435       0.565217      0.498445    0.434783   \n",
       "A.Erickson               0.255814       0.720930      0.453850    0.046512   \n",
       "A.Hooper                 0.106667       0.880000      0.327150    0.106667   \n",
       "...                           ...            ...           ...         ...   \n",
       "V.McDonald               0.157895       0.842105      0.369537    0.210526   \n",
       "W.Fuller                 0.142857       0.836735      0.373438    0.163265   \n",
       "Z.Ertz                   0.090909       0.897727      0.304743    0.034091   \n",
       "Z.Jones                  0.074074       0.925926      0.266880    0.111111   \n",
       "Z.Pascal                 0.195122       0.780488      0.419058    0.097561   \n",
       "\n",
       "                      screen_std  shortrt_pct  intermediatert_pct  deeprt_pct  \\\n",
       "receiver_player_name                                                            \n",
       "A.Brown                 0.187256     0.482143            0.410714    0.125000   \n",
       "A.Cooper                0.112509     0.518987            0.367089    0.126582   \n",
       "A.Ekeler                0.498445     0.510870            0.032609    0.032609   \n",
       "A.Erickson              0.213083     0.813953            0.255814    0.023256   \n",
       "A.Hooper                0.310768     0.666667            0.240000    0.026667   \n",
       "...                          ...          ...                 ...         ...   \n",
       "V.McDonald              0.413155     0.763158            0.026316    0.000000   \n",
       "W.Fuller                0.373438     0.591837            0.081633    0.183673   \n",
       "Z.Ertz                  0.182503     0.704545            0.284091    0.011364   \n",
       "Z.Jones                 0.320256     0.703704            0.222222    0.000000   \n",
       "Z.Pascal                0.300406     0.463415            0.414634    0.024390   \n",
       "\n",
       "                      deepshots_mean  deepshots_std clst_label  \n",
       "receiver_player_name                                            \n",
       "A.Brown                     0.053571       0.227208        '0'  \n",
       "A.Cooper                    0.012658       0.112509        '0'  \n",
       "A.Ekeler                    0.000000       0.000000        '1'  \n",
       "A.Erickson                  0.023256       0.152499        '2'  \n",
       "A.Hooper                    0.000000       0.000000        '2'  \n",
       "...                              ...            ...        ...  \n",
       "V.McDonald                  0.000000       0.000000        '2'  \n",
       "W.Fuller                    0.040816       0.199915        '0'  \n",
       "Z.Ertz                      0.000000       0.000000        '2'  \n",
       "Z.Jones                     0.000000       0.000000        '2'  \n",
       "Z.Pascal                    0.000000       0.000000        '4'  \n",
       "\n",
       "[160 rows x 24 columns]"
      ]
     },
     "execution_count": 41,
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      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 42;\n",
       "                var nbb_unformatted_code = \"mean_wr = wr_cluster.groupby(\\\"clst_label\\\").mean()\";\n",
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  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>screen_pct</th>\n",
       "      <th>intermediatert_pct</th>\n",
       "      <th>shortrt_pct</th>\n",
       "      <th>deeprt_pct</th>\n",
       "      <th>mid_yac_pct</th>\n",
       "      <th>short_yac_pct</th>\n",
       "      <th>explosive_yac_pct</th>\n",
       "      <th>deepshots_mean</th>\n",
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       "    <tr>\n",
       "      <th>clst_label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <td>'0'</td>\n",
       "      <td>0.080950</td>\n",
       "      <td>0.315136</td>\n",
       "      <td>0.512423</td>\n",
       "      <td>0.126681</td>\n",
       "      <td>0.092228</td>\n",
       "      <td>0.877688</td>\n",
       "      <td>0.030083</td>\n",
       "      <td>0.024611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>'1'</td>\n",
       "      <td>0.478144</td>\n",
       "      <td>0.019386</td>\n",
       "      <td>0.497886</td>\n",
       "      <td>0.008286</td>\n",
       "      <td>0.246967</td>\n",
       "      <td>0.689564</td>\n",
       "      <td>0.063469</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <td>'2'</td>\n",
       "      <td>0.092325</td>\n",
       "      <td>0.206749</td>\n",
       "      <td>0.699724</td>\n",
       "      <td>0.033350</td>\n",
       "      <td>0.113289</td>\n",
       "      <td>0.870702</td>\n",
       "      <td>0.016008</td>\n",
       "      <td>0.001010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>'3'</td>\n",
       "      <td>0.165892</td>\n",
       "      <td>0.252597</td>\n",
       "      <td>0.458092</td>\n",
       "      <td>0.146495</td>\n",
       "      <td>0.150824</td>\n",
       "      <td>0.840518</td>\n",
       "      <td>0.008658</td>\n",
       "      <td>0.004329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>'4'</td>\n",
       "      <td>0.197524</td>\n",
       "      <td>0.323670</td>\n",
       "      <td>0.454002</td>\n",
       "      <td>0.051605</td>\n",
       "      <td>0.131998</td>\n",
       "      <td>0.795879</td>\n",
       "      <td>0.072122</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <td>'5'</td>\n",
       "      <td>0.229496</td>\n",
       "      <td>0.197804</td>\n",
       "      <td>0.549612</td>\n",
       "      <td>0.048380</td>\n",
       "      <td>0.106741</td>\n",
       "      <td>0.872989</td>\n",
       "      <td>0.020270</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>'6'</td>\n",
       "      <td>0.262353</td>\n",
       "      <td>0.101404</td>\n",
       "      <td>0.606705</td>\n",
       "      <td>0.035624</td>\n",
       "      <td>0.201103</td>\n",
       "      <td>0.757305</td>\n",
       "      <td>0.041592</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <td>'7'</td>\n",
       "      <td>0.143637</td>\n",
       "      <td>0.115419</td>\n",
       "      <td>0.731580</td>\n",
       "      <td>0.025493</td>\n",
       "      <td>0.079446</td>\n",
       "      <td>0.836310</td>\n",
       "      <td>0.084244</td>\n",
       "      <td>0.000000</td>\n",
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      "text/plain": [
       "            screen_pct  intermediatert_pct  shortrt_pct  deeprt_pct  \\\n",
       "clst_label                                                            \n",
       "'0'           0.080950            0.315136     0.512423    0.126681   \n",
       "'1'           0.478144            0.019386     0.497886    0.008286   \n",
       "'2'           0.092325            0.206749     0.699724    0.033350   \n",
       "'3'           0.165892            0.252597     0.458092    0.146495   \n",
       "'4'           0.197524            0.323670     0.454002    0.051605   \n",
       "'5'           0.229496            0.197804     0.549612    0.048380   \n",
       "'6'           0.262353            0.101404     0.606705    0.035624   \n",
       "'7'           0.143637            0.115419     0.731580    0.025493   \n",
       "\n",
       "            mid_yac_pct  short_yac_pct  explosive_yac_pct  deepshots_mean  \n",
       "clst_label                                                                 \n",
       "'0'            0.092228       0.877688           0.030083        0.024611  \n",
       "'1'            0.246967       0.689564           0.063469        0.000000  \n",
       "'2'            0.113289       0.870702           0.016008        0.001010  \n",
       "'3'            0.150824       0.840518           0.008658        0.004329  \n",
       "'4'            0.131998       0.795879           0.072122        0.000000  \n",
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       "'6'            0.201103       0.757305           0.041592        0.000000  \n",
       "'7'            0.079446       0.836310           0.084244        0.000000  "
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