examples/tb12_passes_python.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jLaoOwxnD2-M"
      },
      "source": [
        "## Tom Brady data release Python introduction\n",
        "\n",
        "##### By Will Morgan, Head of AMF Data Science, StatsBomb\n",
        "\n",
        "Below we've included some sample code to load in the events and plays datasets, plot a field using our coordinate system and plot TB12's passes from our initial data release. Documentation for the dataset can be found [here](https://github.com/statsbomb/amf-open-data/tree/main/doc).\n",
        "\n",
        "First we'll import the required libraries - you'll need to install these to your local Python environment before you begin if running locally."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "AGe01vMMD2-Q"
      },
      "outputs": [],
      "source": [
        "from typing import Literal\n",
        "\n",
        "import matplotlib.patches as patches\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.set_option('display.max_columns', None)"
      ],
      "metadata": {
        "id": "6KbIjyGfEWfM"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rSRE_lS4D2-S"
      },
      "source": [
        "Below we load in the events and plays data direct from the [open data repository](https://github.com/statsbomb/amf-open-data)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "_hQyN4xDD2-T"
      },
      "outputs": [],
      "source": [
        "event_files = [\n",
        "    \"https://raw.githubusercontent.com/statsbomb/amf-open-data/main/data/events/tb12_events_dataset_2021_2022.csv\",\n",
        "    \"https://raw.githubusercontent.com/statsbomb/amf-open-data/main/data/events/tb12_events_dataset_2022_2023.csv\",\n",
        "]\n",
        "play_files = [\n",
        "    \"https://raw.githubusercontent.com/statsbomb/amf-open-data/main/data/plays/tb12_plays_dataset_2021_2022.csv\",\n",
        "    \"https://raw.githubusercontent.com/statsbomb/amf-open-data/main/data/plays/tb12_plays_dataset_2022_2023.csv\",\n",
        "    ]\n",
        "\n",
        "events = pd.concat([pd.read_csv(file) for file in event_files])\n",
        "plays = pd.concat([pd.read_csv(file) for file in play_files])\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "EXm1qqh3D2-U",
        "outputId": "882540b5-1f30-4f27-dfb8-86e4df7b0936"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              team_name                            event_uuid  game_id  \\\n",
              "0  Tampa Bay Buccaneers  973c7a4a-30d0-4846-b0c5-90262d4d3236  1072133   \n",
              "1  Tampa Bay Buccaneers  ab3254f1-dff2-4186-b711-2cc26b203788  1072133   \n",
              "2  Tampa Bay Buccaneers  9dfb0183-625c-4dbb-85bc-6ba414e4cc29  1072133   \n",
              "3  Tampa Bay Buccaneers  438596c7-13e9-4ea1-9437-21eef80eb039  1072133   \n",
              "4  Tampa Bay Buccaneers  de358376-91fb-47f4-8810-2683bf652bae  1072133   \n",
              "\n",
              "     gsis_game_id  gsis_old_game_id  game_quarter  event_game_index  \\\n",
              "0  2021_19_PHI_TB      2.022012e+09             1               749   \n",
              "1  2021_19_PHI_TB      2.022012e+09             1               754   \n",
              "2  2021_19_PHI_TB      2.022012e+09             1               760   \n",
              "3  2021_19_PHI_TB      2.022012e+09             1               762   \n",
              "4  2021_19_PHI_TB      2.022012e+09             1               759   \n",
              "\n",
              "                              play_uuid  gsis_play_id  event_video_timestamp  \\\n",
              "0  000eb548-6ce7-4c6d-b7fc-a707169147af         541.0             540.190302   \n",
              "1  000eb548-6ce7-4c6d-b7fc-a707169147af         541.0             540.689300   \n",
              "2  000eb548-6ce7-4c6d-b7fc-a707169147af         541.0             541.240290   \n",
              "3  000eb548-6ce7-4c6d-b7fc-a707169147af         541.0             541.490286   \n",
              "4  000eb548-6ce7-4c6d-b7fc-a707169147af         541.0             541.090296   \n",
              "\n",
              "   game_clock  team_id  team_attacking_left_to_right   event_types  player_id  \\\n",
              "0    427500.0  1000947                         False     {Pathing}        NaN   \n",
              "1    427001.0  1000947                         False        {Pass}  1003198.0   \n",
              "2    426450.0  1000947                         False       {Catch}  1020841.0   \n",
              "3    426200.0  1000947                         False  {\"Play End\"}        NaN   \n",
              "4    426600.0  1000947                         False     {Pathing}        NaN   \n",
              "\n",
              "     player_name  receiver_player_id receiver_player_name  opponent_player_id  \\\n",
              "0            NaN                 NaN                  NaN                 NaN   \n",
              "1      Tom Brady           1020841.0        Tyler Johnson                 NaN   \n",
              "2  Tyler Johnson                 NaN                  NaN                 NaN   \n",
              "3            NaN                 NaN                  NaN                 NaN   \n",
              "4            NaN                 NaN                  NaN                 NaN   \n",
              "\n",
              "  opponent_player_name  event_x    event_y  event_end_x  event_end_y  \\\n",
              "0                  NaN      NaN        NaN          NaN          NaN   \n",
              "1                  NaN    42.87  29.383333        55.71    30.343333   \n",
              "2                  NaN    55.71  30.343333          NaN          NaN   \n",
              "3                  NaN      NaN        NaN          NaN          NaN   \n",
              "4                  NaN      NaN        NaN          NaN          NaN   \n",
              "\n",
              "   event_duration event_success  event_points  event_catch_fail_type  \\\n",
              "0             NaN           NaN             0                    NaN   \n",
              "1        0.800986         False             0                    NaN   \n",
              "2             NaN         False             0                    NaN   \n",
              "3             NaN           NaN             0                    NaN   \n",
              "4             NaN           NaN             0                    NaN   \n",
              "\n",
              "   event_yards_after_catch  event_kick_fail_type  event_kick_distance  \\\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",
              "   event_kick_lateral  event_forced_fumble  event_pass_air_yards  \\\n",
              "0                 NaN                  NaN                   NaN   \n",
              "1                 NaN                  NaN                  5.56   \n",
              "2                 NaN                  NaN                   NaN   \n",
              "3                 NaN                  NaN                   NaN   \n",
              "4                 NaN                  NaN                   NaN   \n",
              "\n",
              "   event_pass_catchable  event_pass_time_to_throw event_penalty_offset  \\\n",
              "0                   NaN                       NaN                  NaN   \n",
              "1                   NaN                   1.99899                  NaN   \n",
              "2                   NaN                       NaN                  NaN   \n",
              "3                   NaN                       NaN                  NaN   \n",
              "4                   NaN                       NaN                  NaN   \n",
              "\n",
              "   event_penalty_yards event_penalty_type event_penalty_down_lost  \\\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",
              "  event_penalty_replay_down event_snap_under_center event_tackle_contact  \\\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",
              "  preceding_tackle_attempt_uuid opposing_tackle_uuid  \\\n",
              "0                           NaN                  NaN   \n",
              "1                           NaN                  NaN   \n",
              "2                           NaN                  NaN   \n",
              "3                           NaN                  NaN   \n",
              "4                           NaN                  NaN   \n",
              "\n",
              "             preceding_ball_origin_uuid opposing_pressured_event_uuid  \\\n",
              "0                                   NaN                           NaN   \n",
              "1                                   NaN                           NaN   \n",
              "2  ab3254f1-dff2-4186-b711-2cc26b203788                           NaN   \n",
              "3                                   NaN                           NaN   \n",
              "4                                   NaN                           NaN   \n",
              "\n",
              "   opposing_penalty_event_uuid event_pass_underthrow event_pass_overthrow  \\\n",
              "0                          NaN                   NaN                  NaN   \n",
              "1                          NaN                 False                False   \n",
              "2                          NaN                   NaN                  NaN   \n",
              "3                          NaN                   NaN                  NaN   \n",
              "4                          NaN                   NaN                  NaN   \n",
              "\n",
              "   event_lateral_technique  event_pass_placement_x  event_pass_placement_y  \\\n",
              "0                      NaN                     NaN                     NaN   \n",
              "1                      NaN                  1.0155                  1.3477   \n",
              "2                      NaN                     NaN                     NaN   \n",
              "3                      NaN                     NaN                     NaN   \n",
              "4                      NaN                     NaN                     NaN   \n",
              "\n",
              "   event_score_fail_type  event_stoppage_review_outcome event_pass_throwaway  \\\n",
              "0                    NaN                            NaN                  NaN   \n",
              "1                    NaN                            NaN                False   \n",
              "2                    NaN                            NaN                  NaN   \n",
              "3                    NaN                            NaN                  NaN   \n",
              "4                    NaN                            NaN                  NaN   \n",
              "\n",
              "  event_pass_out_of_bounds event_pass_touchdown  event_pass_target_x  \\\n",
              "0                      NaN                  NaN                  NaN   \n",
              "1                    False                False            56.299553   \n",
              "2                      NaN                  NaN                  NaN   \n",
              "3                      NaN                  NaN                  NaN   \n",
              "4                      NaN                  NaN                  NaN   \n",
              "\n",
              "   event_pass_target_y start_engagement_uuid end_engagement_uuid  \\\n",
              "0                  NaN                   NaN                 NaN   \n",
              "1            31.454041                   NaN                 NaN   \n",
              "2                  NaN                   NaN                 NaN   \n",
              "3                  NaN                   NaN                 NaN   \n",
              "4                  NaN                   NaN                 NaN   \n",
              "\n",
              "   event_pass_yards_gained base_event_uuid event_tackle_first_contact  \\\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",
              "  event_pass_placement_uncollectable  event_no_ff_cause  \\\n",
              "0                                NaN                NaN   \n",
              "1                                NaN                NaN   \n",
              "2                                NaN                NaN   \n",
              "3                                NaN                NaN   \n",
              "4                                NaN                NaN   \n",
              "\n",
              "   event_pass_placement_displacement  event_pass_comp_prob  \\\n",
              "0                                NaN                   NaN   \n",
              "1                           1.026857              0.749371   \n",
              "2                                NaN                   NaN   \n",
              "3                                NaN                   NaN   \n",
              "4                                NaN                   NaN   \n",
              "\n",
              "   event_catch_comp_with_placement  event_catch_comp_without_placement  \\\n",
              "0                              NaN                                 NaN   \n",
              "1                              NaN                                 NaN   \n",
              "2                         0.640985                            0.830194   \n",
              "3                              NaN                                 NaN   \n",
              "4                              NaN                                 NaN   \n",
              "\n",
              "  event_offense_last_action  event_ball_x  event_ball_y  event_ball_carrier  \\\n",
              "0                       NaN     43.092292     29.340065           1003198.0   \n",
              "1                       NaN     42.870000     29.383333           1003198.0   \n",
              "2                       NaN     55.710000     30.343333                 NaN   \n",
              "3                       NaN           NaN           NaN                 NaN   \n",
              "4                       NaN           NaN           NaN                 NaN   \n",
              "\n",
              "  event_tackle_type event_tackle_sequence_attempt     season  \n",
              "0               NaN                           NaN  2021/2022  \n",
              "1               NaN                           NaN  2021/2022  \n",
              "2               NaN                           NaN  2021/2022  \n",
              "3               NaN                           NaN  2021/2022  \n",
              "4               NaN                           NaN  2021/2022  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-40dc7e60-2a75-4eb8-b487-c1cf0a0533ca\" class=\"colab-df-container\">\n",
              "    <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>team_name</th>\n",
              "      <th>event_uuid</th>\n",
              "      <th>game_id</th>\n",
              "      <th>gsis_game_id</th>\n",
              "      <th>gsis_old_game_id</th>\n",
              "      <th>game_quarter</th>\n",
              "      <th>event_game_index</th>\n",
              "      <th>play_uuid</th>\n",
              "      <th>gsis_play_id</th>\n",
              "      <th>event_video_timestamp</th>\n",
              "      <th>game_clock</th>\n",
              "      <th>team_id</th>\n",
              "      <th>team_attacking_left_to_right</th>\n",
              "      <th>event_types</th>\n",
              "      <th>player_id</th>\n",
              "      <th>player_name</th>\n",
              "      <th>receiver_player_id</th>\n",
              "      <th>receiver_player_name</th>\n",
              "      <th>opponent_player_id</th>\n",
              "      <th>opponent_player_name</th>\n",
              "      <th>event_x</th>\n",
              "      <th>event_y</th>\n",
              "      <th>event_end_x</th>\n",
              "      <th>event_end_y</th>\n",
              "      <th>event_duration</th>\n",
              "      <th>event_success</th>\n",
              "      <th>event_points</th>\n",
              "      <th>event_catch_fail_type</th>\n",
              "      <th>event_yards_after_catch</th>\n",
              "      <th>event_kick_fail_type</th>\n",
              "      <th>event_kick_distance</th>\n",
              "      <th>event_kick_lateral</th>\n",
              "      <th>event_forced_fumble</th>\n",
              "      <th>event_pass_air_yards</th>\n",
              "      <th>event_pass_catchable</th>\n",
              "      <th>event_pass_time_to_throw</th>\n",
              "      <th>event_penalty_offset</th>\n",
              "      <th>event_penalty_yards</th>\n",
              "      <th>event_penalty_type</th>\n",
              "      <th>event_penalty_down_lost</th>\n",
              "      <th>event_penalty_replay_down</th>\n",
              "      <th>event_snap_under_center</th>\n",
              "      <th>event_tackle_contact</th>\n",
              "      <th>preceding_tackle_attempt_uuid</th>\n",
              "      <th>opposing_tackle_uuid</th>\n",
              "      <th>preceding_ball_origin_uuid</th>\n",
              "      <th>opposing_pressured_event_uuid</th>\n",
              "      <th>opposing_penalty_event_uuid</th>\n",
              "      <th>event_pass_underthrow</th>\n",
              "      <th>event_pass_overthrow</th>\n",
              "      <th>event_lateral_technique</th>\n",
              "      <th>event_pass_placement_x</th>\n",
              "      <th>event_pass_placement_y</th>\n",
              "      <th>event_score_fail_type</th>\n",
              "      <th>event_stoppage_review_outcome</th>\n",
              "      <th>event_pass_throwaway</th>\n",
              "      <th>event_pass_out_of_bounds</th>\n",
              "      <th>event_pass_touchdown</th>\n",
              "      <th>event_pass_target_x</th>\n",
              "      <th>event_pass_target_y</th>\n",
              "      <th>start_engagement_uuid</th>\n",
              "      <th>end_engagement_uuid</th>\n",
              "      <th>event_pass_yards_gained</th>\n",
              "      <th>base_event_uuid</th>\n",
              "      <th>event_tackle_first_contact</th>\n",
              "      <th>event_pass_placement_uncollectable</th>\n",
              "      <th>event_no_ff_cause</th>\n",
              "      <th>event_pass_placement_displacement</th>\n",
              "      <th>event_pass_comp_prob</th>\n",
              "      <th>event_catch_comp_with_placement</th>\n",
              "      <th>event_catch_comp_without_placement</th>\n",
              "      <th>event_offense_last_action</th>\n",
              "      <th>event_ball_x</th>\n",
              "      <th>event_ball_y</th>\n",
              "      <th>event_ball_carrier</th>\n",
              "      <th>event_tackle_type</th>\n",
              "      <th>event_tackle_sequence_attempt</th>\n",
              "      <th>season</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>973c7a4a-30d0-4846-b0c5-90262d4d3236</td>\n",
              "      <td>1072133</td>\n",
              "      <td>2021_19_PHI_TB</td>\n",
              "      <td>2.022012e+09</td>\n",
              "      <td>1</td>\n",
              "      <td>749</td>\n",
              "      <td>000eb548-6ce7-4c6d-b7fc-a707169147af</td>\n",
              "      <td>541.0</td>\n",
              "      <td>540.190302</td>\n",
              "      <td>427500.0</td>\n",
              "      <td>1000947</td>\n",
              "      <td>False</td>\n",
              "      <td>{Pathing}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>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",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>43.092292</td>\n",
              "      <td>29.340065</td>\n",
              "      <td>1003198.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021/2022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>ab3254f1-dff2-4186-b711-2cc26b203788</td>\n",
              "      <td>1072133</td>\n",
              "      <td>2021_19_PHI_TB</td>\n",
              "      <td>2.022012e+09</td>\n",
              "      <td>1</td>\n",
              "      <td>754</td>\n",
              "      <td>000eb548-6ce7-4c6d-b7fc-a707169147af</td>\n",
              "      <td>541.0</td>\n",
              "      <td>540.689300</td>\n",
              "      <td>427001.0</td>\n",
              "      <td>1000947</td>\n",
              "      <td>False</td>\n",
              "      <td>{Pass}</td>\n",
              "      <td>1003198.0</td>\n",
              "      <td>Tom Brady</td>\n",
              "      <td>1020841.0</td>\n",
              "      <td>Tyler Johnson</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>42.87</td>\n",
              "      <td>29.383333</td>\n",
              "      <td>55.71</td>\n",
              "      <td>30.343333</td>\n",
              "      <td>0.800986</td>\n",
              "      <td>False</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>5.56</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.99899</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0155</td>\n",
              "      <td>1.3477</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>56.299553</td>\n",
              "      <td>31.454041</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.026857</td>\n",
              "      <td>0.749371</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>42.870000</td>\n",
              "      <td>29.383333</td>\n",
              "      <td>1003198.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021/2022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>9dfb0183-625c-4dbb-85bc-6ba414e4cc29</td>\n",
              "      <td>1072133</td>\n",
              "      <td>2021_19_PHI_TB</td>\n",
              "      <td>2.022012e+09</td>\n",
              "      <td>1</td>\n",
              "      <td>760</td>\n",
              "      <td>000eb548-6ce7-4c6d-b7fc-a707169147af</td>\n",
              "      <td>541.0</td>\n",
              "      <td>541.240290</td>\n",
              "      <td>426450.0</td>\n",
              "      <td>1000947</td>\n",
              "      <td>False</td>\n",
              "      <td>{Catch}</td>\n",
              "      <td>1020841.0</td>\n",
              "      <td>Tyler Johnson</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>55.71</td>\n",
              "      <td>30.343333</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</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>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ab3254f1-dff2-4186-b711-2cc26b203788</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.640985</td>\n",
              "      <td>0.830194</td>\n",
              "      <td>NaN</td>\n",
              "      <td>55.710000</td>\n",
              "      <td>30.343333</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021/2022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>438596c7-13e9-4ea1-9437-21eef80eb039</td>\n",
              "      <td>1072133</td>\n",
              "      <td>2021_19_PHI_TB</td>\n",
              "      <td>2.022012e+09</td>\n",
              "      <td>1</td>\n",
              "      <td>762</td>\n",
              "      <td>000eb548-6ce7-4c6d-b7fc-a707169147af</td>\n",
              "      <td>541.0</td>\n",
              "      <td>541.490286</td>\n",
              "      <td>426200.0</td>\n",
              "      <td>1000947</td>\n",
              "      <td>False</td>\n",
              "      <td>{\"Play End\"}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>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",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021/2022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>de358376-91fb-47f4-8810-2683bf652bae</td>\n",
              "      <td>1072133</td>\n",
              "      <td>2021_19_PHI_TB</td>\n",
              "      <td>2.022012e+09</td>\n",
              "      <td>1</td>\n",
              "      <td>759</td>\n",
              "      <td>000eb548-6ce7-4c6d-b7fc-a707169147af</td>\n",
              "      <td>541.0</td>\n",
              "      <td>541.090296</td>\n",
              "      <td>426600.0</td>\n",
              "      <td>1000947</td>\n",
              "      <td>False</td>\n",
              "      <td>{Pathing}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>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",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021/2022</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-40dc7e60-2a75-4eb8-b487-c1cf0a0533ca')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-40dc7e60-2a75-4eb8-b487-c1cf0a0533ca button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-40dc7e60-2a75-4eb8-b487-c1cf0a0533ca');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-fc3ba71c-6240-4537-be92-cb86bcb5d333\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fc3ba71c-6240-4537-be92-cb86bcb5d333')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-fc3ba71c-6240-4537-be92-cb86bcb5d333 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "events.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 400
        },
        "id": "bP812exhD2-W",
        "outputId": "623a0c3b-404e-42c2-882b-4957287af37e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      offense_team_name defense_team_name     season    week  \\\n",
              "0  Tampa Bay Buccaneers    Dallas Cowboys  2021/2022  Week 1   \n",
              "1  Tampa Bay Buccaneers    Dallas Cowboys  2021/2022  Week 1   \n",
              "2  Tampa Bay Buccaneers    Dallas Cowboys  2021/2022  Week 1   \n",
              "3  Tampa Bay Buccaneers    Dallas Cowboys  2021/2022  Week 1   \n",
              "4  Tampa Bay Buccaneers    Dallas Cowboys  2021/2022  Week 1   \n",
              "\n",
              "                              play_uuid  gsis_play_id  game_id  \\\n",
              "0  a7e97cac-bb9f-4c7a-82be-7410e02db170          40.0  1502044   \n",
              "1  40f5181d-b943-44cb-ab59-4e44c26a1c5a          55.0  1502044   \n",
              "2  b5bda7d2-d9de-4c0b-9669-65a66d4acec1          76.0  1502044   \n",
              "3  77a7a49f-8002-4009-b01c-ffd009753c20          97.0  1502044   \n",
              "4  183a7382-be28-4779-b5f9-19fcf5ef4f16         119.0  1502044   \n",
              "\n",
              "     gsis_game_id  gsis_old_game_id                            drive_uuid  \\\n",
              "0  2021_01_DAL_TB        2021090900  a7e97cac-bb9f-4c7a-82be-7410e02db170   \n",
              "1  2021_01_DAL_TB        2021090900  a7e97cac-bb9f-4c7a-82be-7410e02db170   \n",
              "2  2021_01_DAL_TB        2021090900  a7e97cac-bb9f-4c7a-82be-7410e02db170   \n",
              "3  2021_01_DAL_TB        2021090900  a7e97cac-bb9f-4c7a-82be-7410e02db170   \n",
              "4  2021_01_DAL_TB        2021090900  a7e97cac-bb9f-4c7a-82be-7410e02db170   \n",
              "\n",
              "   play_game_index  play_drive_index  play_quarter  \\\n",
              "0                1                 1             1   \n",
              "1                2                 2             1   \n",
              "2                3                 3             1   \n",
              "3                4                 4             1   \n",
              "4                5                 5             1   \n",
              "\n",
              "   play_quarter_clock_remaining  play_clock_paused  play_start_event_index  \\\n",
              "0                      900000.0               True                       2   \n",
              "1                      900000.0               True                       7   \n",
              "2                      857000.0               True                      49   \n",
              "3                      813000.0               True                     105   \n",
              "4                      806000.0               True                     155   \n",
              "\n",
              "   play_end_event_index  play_offense_team_id play_offense_team_short_name  \\\n",
              "0                     6               1000947                           TB   \n",
              "1                    48               1000947                           TB   \n",
              "2                   104               1000947                           TB   \n",
              "3                   154               1000947                           TB   \n",
              "4                   161               1000947                           TB   \n",
              "\n",
              "   play_defense_team_id play_defense_team_short_name  \\\n",
              "0               1001367                          DAL   \n",
              "1               1001367                          DAL   \n",
              "2               1001367                          DAL   \n",
              "3               1001367                          DAL   \n",
              "4               1001367                          DAL   \n",
              "\n",
              "   play_offense_is_home_team  play_down  play_yards_to_go  play_yardline  \\\n",
              "0                       True        NaN               NaN          64.85   \n",
              "1                       True        1.0             10.00          24.85   \n",
              "2                       True        2.0              4.88          29.97   \n",
              "3                       True        3.0              1.97          32.88   \n",
              "4                       True        4.0              1.97          33.03   \n",
              "\n",
              "  play_start_position  play_home_score  play_away_score  \\\n",
              "0                 NaN                0                0   \n",
              "1               right                0                0   \n",
              "2              center                0                0   \n",
              "3               right                0                0   \n",
              "4               right                0                0   \n",
              "\n",
              "   play_home_timeouts_remaining  play_away_timeouts_remaining  \\\n",
              "0                             3                             3   \n",
              "1                             3                             3   \n",
              "2                             3                             3   \n",
              "3                             3                             3   \n",
              "4                             3                             3   \n",
              "\n",
              "   play_box_players                         play_defensive_back_depths  \\\n",
              "0                 0                                                NaN   \n",
              "1                 7  {1.1835183157271487,6.6028928918506935,11.6621...   \n",
              "2                 7  {6.203040047152442,12.389988809218934,4.052941...   \n",
              "3                 8  {0.8660259924080904,1.7220056958028707,16.2227...   \n",
              "4                 0                                                 {}   \n",
              "\n",
              "                    play_linebacker_depths play_shotgun  play_pre_snap_motion  \\\n",
              "0                                      NaN          NaN                 False   \n",
              "1  {3.0232148907921257,3.8112428367677538}         True                  True   \n",
              "2   {4.1204671740372945,3.554162517773179}        False                  True   \n",
              "3  {1.9184864298040836,1.1514152937425663}         True                  True   \n",
              "4                                       {}         True                 False   \n",
              "\n",
              "   play_snap_hurried play_success  play_first_down_won  play_touchdown_won  \\\n",
              "0              False          NaN                False               False   \n",
              "1               True         True                False               False   \n",
              "2               True         True                False               False   \n",
              "3               True          NaN                False               False   \n",
              "4               True          NaN                False               False   \n",
              "\n",
              "   play_yards_net  play_points_won play_type  play_included_fake  \\\n",
              "0             NaN                0   Kickoff               False   \n",
              "1            5.12                0      Rush               False   \n",
              "2            2.91                0      Rush               False   \n",
              "3            0.00                0      Pass               False   \n",
              "4           64.93                0      Punt               False   \n",
              "\n",
              "  play_qb_pressure  play_qb_hit  play_qb_sacked  play_pass_yards_air  \\\n",
              "0              NaN        False           False                  NaN   \n",
              "1              NaN        False           False                  NaN   \n",
              "2              NaN        False           False                  NaN   \n",
              "3              NaN        False           False                18.36   \n",
              "4              NaN        False           False                  NaN   \n",
              "\n",
              "   play_pass_yards_after_catch play_pass_outcome play_pass_dropped  \\\n",
              "0                          NaN               NaN               NaN   \n",
              "1                          NaN               NaN               NaN   \n",
              "2                          NaN               NaN               NaN   \n",
              "3                          NaN             False               NaN   \n",
              "4                          NaN               NaN               NaN   \n",
              "\n",
              "  play_pass_intercepted play_pass_interception_dropped  play_time_to_pass  \\\n",
              "0                   NaN                            NaN            0.00000   \n",
              "1                   NaN                            NaN            0.00000   \n",
              "2                   NaN                            NaN            0.00000   \n",
              "3                   NaN                            NaN            3.34047   \n",
              "4                   NaN                            NaN            0.00000   \n",
              "\n",
              "  play_pass_batted  play_yards_run  play_penalty_yards  \\\n",
              "0              NaN            0.00                 0.0   \n",
              "1              NaN           10.31                 0.0   \n",
              "2              NaN            7.41                 0.0   \n",
              "3            False            0.00                 0.0   \n",
              "4              NaN            0.00                 0.0   \n",
              "\n",
              "  play_penalty_first_down play_penalty_down_loss play_penalty_offset  \\\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",
              "   play_return_yards play_field_goal_result play_extra_point_result  \\\n",
              "0                0.0                    NaN                     NaN   \n",
              "1                0.0                    NaN                     NaN   \n",
              "2                0.0                    NaN                     NaN   \n",
              "3                0.0                    NaN                     NaN   \n",
              "4                0.0                    NaN                     NaN   \n",
              "\n",
              "   play_kick_yards  play_kick_hangtime play_kick_blocked play_kick_fair_catch  \\\n",
              "0             0.00                 0.0               NaN                  NaN   \n",
              "1             0.00                 0.0               NaN                  NaN   \n",
              "2             0.00                 0.0               NaN                  NaN   \n",
              "3             0.00                 0.0               NaN                  NaN   \n",
              "4            64.95                 0.0               NaN                  NaN   \n",
              "\n",
              "  play_kick_downed  play_fumbled  play_fumble_forced  play_fumble_lost  \\\n",
              "0            False         False               False             False   \n",
              "1              NaN         False               False             False   \n",
              "2              NaN         False               False             False   \n",
              "3              NaN         False               False             False   \n",
              "4            False         False               False             False   \n",
              "\n",
              "   play_fumble_out_of_bounds  play_challenged play_action_pass  \\\n",
              "0                      False            False              NaN   \n",
              "1                      False            False              NaN   \n",
              "2                      False            False              NaN   \n",
              "3                      False            False            False   \n",
              "4                      False            False              NaN   \n",
              "\n",
              "   play_points_lost  play_start_position_yards play_penalty_types  \\\n",
              "0                 0                   0.000000                 {}   \n",
              "1                 0                   3.163333                 {}   \n",
              "2                 0                  -0.836667                 {}   \n",
              "3                 0                   3.043333                 {}   \n",
              "4                 0                   2.863333                 {}   \n",
              "\n",
              "  play_explosive                       play_offensive_personnel  \\\n",
              "0            NaN                                            NaN   \n",
              "1          False  {\"OL\": 5, \"QB\": 1, \"RB\": 1, \"TE\": 0, \"WR\": 4}   \n",
              "2          False  {\"OL\": 5, \"QB\": 1, \"RB\": 1, \"TE\": 1, \"WR\": 3}   \n",
              "3          False  {\"OL\": 5, \"QB\": 1, \"RB\": 1, \"TE\": 0, \"WR\": 4}   \n",
              "4            NaN                                            NaN   \n",
              "\n",
              "      play_defensive_personnel  play_turnover_type  \\\n",
              "0                          NaN                 NaN   \n",
              "1  {\"DB\": 5, \"DL\": 4, \"LB\": 2}                 NaN   \n",
              "2  {\"DB\": 5, \"DL\": 4, \"LB\": 2}                 NaN   \n",
              "3  {\"DB\": 5, \"DL\": 4, \"LB\": 2}                 NaN   \n",
              "4                          NaN  Turnover from Punt   \n",
              "\n",
              "  play_offense_penalty_accepted play_defense_penalty_accepted  \\\n",
              "0                           NaN                           NaN   \n",
              "1                           NaN                           NaN   \n",
              "2                           NaN                           NaN   \n",
              "3                           NaN                           NaN   \n",
              "4                           NaN                           NaN   \n",
              "\n",
              "   play_offense_flagged  play_defense_flagged play_tackle_success  \\\n",
              "0                 False                 False                 NaN   \n",
              "1                 False                 False                True   \n",
              "2                 False                 False                True   \n",
              "3                 False                 False                 NaN   \n",
              "4                 False                 False                 NaN   \n",
              "\n",
              "  play_lateral_success  play_yards_gained  \\\n",
              "0                  NaN               0.00   \n",
              "1                  NaN               5.12   \n",
              "2                  NaN               2.91   \n",
              "3                  NaN               0.00   \n",
              "4                  NaN              64.93   \n",
              "\n",
              "                        play_epoch_uuid  play_offense_players_left  \\\n",
              "0                                   NaN                        NaN   \n",
              "1  57c20afe-9fd9-4292-bcb3-2a0f9978e094                        2.0   \n",
              "2  ac1e74a4-8508-49c8-af50-adb05e6f6c19                        1.0   \n",
              "3  375537ee-003a-40c9-acc1-4fb428087a5c                        3.0   \n",
              "4                                   NaN                        NaN   \n",
              "\n",
              "   play_offense_players_right  play_snap_y  play_down_negated  \\\n",
              "0                         NaN          NaN              False   \n",
              "1                         2.0        29.83              False   \n",
              "2                         3.0        25.88              False   \n",
              "3                         1.0        29.54              False   \n",
              "4                         NaN        29.65              False   \n",
              "\n",
              "   play_point_of_attack_y  play_point_of_attack_dy  play_pocket_front_x  \\\n",
              "0                     NaN                      NaN                  NaN   \n",
              "1                26.45163                 -3.37837                24.85   \n",
              "2                     NaN                      NaN                29.86   \n",
              "3                     NaN                      NaN                32.91   \n",
              "4                     NaN                      NaN                  NaN   \n",
              "\n",
              "   play_pocket_back_x  play_pocket_left_y  play_pocket_right_y  \\\n",
              "0                 NaN                 NaN                  NaN   \n",
              "1               14.85           26.486372            32.750886   \n",
              "2               19.86           22.595337            29.152963   \n",
              "3               22.91           25.647412            32.585124   \n",
              "4                 NaN                 NaN                  NaN   \n",
              "\n",
              "   play_qb_exit_pocket_x  play_qb_exit_pocket_y  play_qb_exit_pocket_clock  \\\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",
              "  play_run_gap  play_qb_dropback_depth  play_run_behind_1  play_run_behind_2  \\\n",
              "0          NaN                     NaN                NaN                NaN   \n",
              "1   Left B Gap                     NaN          1501028.0          1003199.0   \n",
              "2          NaN                     NaN                NaN                NaN   \n",
              "3          NaN                9.868387                NaN                NaN   \n",
              "4          NaN                     NaN                NaN                NaN   \n",
              "\n",
              "   play_run_at play_receiver_screen_pass play_derived_pressure_gaps  \\\n",
              "0          NaN                       NaN                        NaN   \n",
              "1    1023957.0                       NaN                        NaN   \n",
              "2          NaN                       NaN                        NaN   \n",
              "3          NaN                       NaN                        NaN   \n",
              "4          NaN                       NaN                        NaN   \n",
              "\n",
              "   play_pass_air_yards_to_the_sticks play_pass_within_pocket  \\\n",
              "0                                NaN                     NaN   \n",
              "1                                NaN                     NaN   \n",
              "2                                NaN                     NaN   \n",
              "3                              16.39                    True   \n",
              "4                                NaN                     NaN   \n",
              "\n",
              "  play_designed_pass play_qb_rush play_pass_thrownaway  \\\n",
              "0                NaN          NaN                  NaN   \n",
              "1              False        False                  NaN   \n",
              "2              False        False                  NaN   \n",
              "3                NaN          NaN                False   \n",
              "4                NaN          NaN                  NaN   \n",
              "\n",
              "  play_formation_into_boundary play_blitz play_simulated_pressure  \\\n",
              "0                          NaN        NaN                     NaN   \n",
              "1                        False        NaN                     NaN   \n",
              "2                          NaN        NaN                     NaN   \n",
              "3                        False       True                     NaN   \n",
              "4                          NaN        NaN                     NaN   \n",
              "\n",
              "  play_drop_eight  play_pass_comp_prob  play_catch_prob_with_placement  \\\n",
              "0             NaN                  NaN                             NaN   \n",
              "1             NaN                  NaN                             NaN   \n",
              "2             NaN                  NaN                             NaN   \n",
              "3             NaN             0.472768                             NaN   \n",
              "4             NaN                  NaN                             NaN   \n",
              "\n",
              "   play_catch_prob_without_placement  play_initial_formation_run_strength  \\\n",
              "0                                NaN                                  NaN   \n",
              "1                                NaN                                  NaN   \n",
              "2                                NaN                                  NaN   \n",
              "3                                NaN                                  NaN   \n",
              "4                                NaN                                  NaN   \n",
              "\n",
              "   play_initial_formation_pass_strength play_initial_formation_snap_side  \\\n",
              "0                                   NaN                              NaN   \n",
              "1                                   NaN                                R   \n",
              "2                                   NaN                              NaN   \n",
              "3                                   NaN                                R   \n",
              "4                                   NaN                              NaN   \n",
              "\n",
              "  play_initial_formation_fib play_formation_run_strength  \\\n",
              "0                        NaN                         NaN   \n",
              "1                          O                           L   \n",
              "2                        NaN                           R   \n",
              "3                          Y                           L   \n",
              "4                        NaN                         NaN   \n",
              "\n",
              "  play_formation_pass_strength play_formation_fib play_pass_location  \\\n",
              "0                          NaN                NaN                NaN   \n",
              "1                            L                  O                NaN   \n",
              "2                            R                  Y                NaN   \n",
              "3                            L                  Y                 In   \n",
              "4                          NaN                NaN                NaN   \n",
              "\n",
              "  play_initial_formation     play_formation  play_punt_snap_time  \\\n",
              "0                    NaN                NaN                  NaN   \n",
              "1        Deuce Left H on    Deuce Left H on                  NaN   \n",
              "2                    NaN  Triple Pair Right                  NaN   \n",
              "3            Triple Left        Triple Left                  NaN   \n",
              "4                    NaN                NaN             0.826519   \n",
              "\n",
              "   play_punt_operation_time  play_punt_hang_time  play_net_punt_yards  \\\n",
              "0                       NaN                  NaN                  NaN   \n",
              "1                       NaN                  NaN                  NaN   \n",
              "2                       NaN                  NaN                  NaN   \n",
              "3                       NaN                  NaN                  NaN   \n",
              "4                  2.042223             5.560785                64.95   \n",
              "\n",
              "   play_gross_punt_yards  play_punt_roll_yards  play_punt_air_yards  \\\n",
              "0                    NaN                   NaN                  NaN   \n",
              "1                    NaN                   NaN                  NaN   \n",
              "2                    NaN                   NaN                  NaN   \n",
              "3                    NaN                   NaN                  NaN   \n",
              "4                  64.95                  0.03                64.92   \n",
              "\n",
              "   play_punt_return_yards  play_punt_block_point_x  play_punt_block_point_y  \\\n",
              "0                     NaN                      NaN                      NaN   \n",
              "1                     NaN                      NaN                      NaN   \n",
              "2                     NaN                      NaN                      NaN   \n",
              "3                     NaN                      NaN                      NaN   \n",
              "4                     0.0                    11.23                     0.12   \n",
              "\n",
              "  play_punt_outcome  play_kickoff_x  play_kickoff_y  play_kickoff_land_x  \\\n",
              "0               NaN           64.85           26.33                 -4.2   \n",
              "1               NaN             NaN             NaN                  NaN   \n",
              "2               NaN             NaN             NaN                  NaN   \n",
              "3               NaN             NaN             NaN                  NaN   \n",
              "4               Out             NaN             NaN                  NaN   \n",
              "\n",
              "   play_kickoff_land_y play_kickoff_outcome  play_kick_hang_time  \\\n",
              "0                44.83           Touch-Back             4.548821   \n",
              "1                  NaN                  NaN                  NaN   \n",
              "2                  NaN                  NaN                  NaN   \n",
              "3                  NaN                  NaN                  NaN   \n",
              "4                  NaN                  NaN                  NaN   \n",
              "\n",
              "   play_kickoff_return_yards play_kickoff_return_chunk  \\\n",
              "0                        0.0                     False   \n",
              "1                        NaN                       NaN   \n",
              "2                        NaN                       NaN   \n",
              "3                        NaN                       NaN   \n",
              "4                        NaN                       NaN   \n",
              "\n",
              "  play_kickoff_return_explosive  play_fg_snap_time  play_fg_operation_time  \\\n",
              "0                         False                NaN                     NaN   \n",
              "1                           NaN                NaN                     NaN   \n",
              "2                           NaN                NaN                     NaN   \n",
              "3                           NaN                NaN                     NaN   \n",
              "4                           NaN                NaN                     NaN   \n",
              "\n",
              "  play_fg_attempted play_fg_made play_fg_kick_blocked  play_fg_length  \\\n",
              "0               NaN          NaN                  NaN             NaN   \n",
              "1               NaN          NaN                  NaN             NaN   \n",
              "2               NaN          NaN                  NaN             NaN   \n",
              "3               NaN          NaN                  NaN             NaN   \n",
              "4               NaN          NaN                  NaN             NaN   \n",
              "\n",
              "   play_xp_snap_time  play_xp_operation_time play_xp_attempted play_xp_made  \\\n",
              "0                NaN                     NaN               NaN          NaN   \n",
              "1                NaN                     NaN               NaN          NaN   \n",
              "2                NaN                     NaN               NaN          NaN   \n",
              "3                NaN                     NaN               NaN          NaN   \n",
              "4                NaN                     NaN               NaN          NaN   \n",
              "\n",
              "  play_xp_kick_blocked play_motion_type play_havoc play_qb_scramble  \\\n",
              "0                  NaN              NaN        NaN              NaN   \n",
              "1                  NaN              Jet        NaN            False   \n",
              "2                  NaN              NaN        NaN            False   \n",
              "3                  NaN               In        NaN              NaN   \n",
              "4                  NaN              NaN        NaN              NaN   \n",
              "\n",
              "  play_contested_catch_attempt play_pass_made  play_yards_after_contact  \\\n",
              "0                          NaN            NaN                       NaN   \n",
              "1                          NaN            NaN                      4.61   \n",
              "2                          NaN            NaN                      3.35   \n",
              "3                          NaN           True                       NaN   \n",
              "4                          NaN            NaN                       NaN   \n",
              "\n",
              "   play_target_separation  play_pass_placement_displacement  \\\n",
              "0                     NaN                               NaN   \n",
              "1                     NaN                               NaN   \n",
              "2                     NaN                               NaN   \n",
              "3                1.749801                               NaN   \n",
              "4                     NaN                               NaN   \n",
              "\n",
              "                                   play_tackle_types  play_catch_separation  \\\n",
              "0                                                 {}                    NaN   \n",
              "1   {\"Assisted - Success\",\"Solo assisted - Success\"}                    NaN   \n",
              "2  {\"Assisted - Success\",\"Solo assisted - Success...                    NaN   \n",
              "3                                                 {}                    NaN   \n",
              "4                                                 {}                    NaN   \n",
              "\n",
              "   play_handoff_received  \n",
              "0                    NaN  \n",
              "1                    NaN  \n",
              "2                    NaN  \n",
              "3                    NaN  \n",
              "4                    NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e9c9eeb2-f94c-499e-8d67-66ad5add2df8\" class=\"colab-df-container\">\n",
              "    <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>offense_team_name</th>\n",
              "      <th>defense_team_name</th>\n",
              "      <th>season</th>\n",
              "      <th>week</th>\n",
              "      <th>play_uuid</th>\n",
              "      <th>gsis_play_id</th>\n",
              "      <th>game_id</th>\n",
              "      <th>gsis_game_id</th>\n",
              "      <th>gsis_old_game_id</th>\n",
              "      <th>drive_uuid</th>\n",
              "      <th>play_game_index</th>\n",
              "      <th>play_drive_index</th>\n",
              "      <th>play_quarter</th>\n",
              "      <th>play_quarter_clock_remaining</th>\n",
              "      <th>play_clock_paused</th>\n",
              "      <th>play_start_event_index</th>\n",
              "      <th>play_end_event_index</th>\n",
              "      <th>play_offense_team_id</th>\n",
              "      <th>play_offense_team_short_name</th>\n",
              "      <th>play_defense_team_id</th>\n",
              "      <th>play_defense_team_short_name</th>\n",
              "      <th>play_offense_is_home_team</th>\n",
              "      <th>play_down</th>\n",
              "      <th>play_yards_to_go</th>\n",
              "      <th>play_yardline</th>\n",
              "      <th>play_start_position</th>\n",
              "      <th>play_home_score</th>\n",
              "      <th>play_away_score</th>\n",
              "      <th>play_home_timeouts_remaining</th>\n",
              "      <th>play_away_timeouts_remaining</th>\n",
              "      <th>play_box_players</th>\n",
              "      <th>play_defensive_back_depths</th>\n",
              "      <th>play_linebacker_depths</th>\n",
              "      <th>play_shotgun</th>\n",
              "      <th>play_pre_snap_motion</th>\n",
              "      <th>play_snap_hurried</th>\n",
              "      <th>play_success</th>\n",
              "      <th>play_first_down_won</th>\n",
              "      <th>play_touchdown_won</th>\n",
              "      <th>play_yards_net</th>\n",
              "      <th>play_points_won</th>\n",
              "      <th>play_type</th>\n",
              "      <th>play_included_fake</th>\n",
              "      <th>play_qb_pressure</th>\n",
              "      <th>play_qb_hit</th>\n",
              "      <th>play_qb_sacked</th>\n",
              "      <th>play_pass_yards_air</th>\n",
              "      <th>play_pass_yards_after_catch</th>\n",
              "      <th>play_pass_outcome</th>\n",
              "      <th>play_pass_dropped</th>\n",
              "      <th>play_pass_intercepted</th>\n",
              "      <th>play_pass_interception_dropped</th>\n",
              "      <th>play_time_to_pass</th>\n",
              "      <th>play_pass_batted</th>\n",
              "      <th>play_yards_run</th>\n",
              "      <th>play_penalty_yards</th>\n",
              "      <th>play_penalty_first_down</th>\n",
              "      <th>play_penalty_down_loss</th>\n",
              "      <th>play_penalty_offset</th>\n",
              "      <th>play_return_yards</th>\n",
              "      <th>play_field_goal_result</th>\n",
              "      <th>play_extra_point_result</th>\n",
              "      <th>play_kick_yards</th>\n",
              "      <th>play_kick_hangtime</th>\n",
              "      <th>play_kick_blocked</th>\n",
              "      <th>play_kick_fair_catch</th>\n",
              "      <th>play_kick_downed</th>\n",
              "      <th>play_fumbled</th>\n",
              "      <th>play_fumble_forced</th>\n",
              "      <th>play_fumble_lost</th>\n",
              "      <th>play_fumble_out_of_bounds</th>\n",
              "      <th>play_challenged</th>\n",
              "      <th>play_action_pass</th>\n",
              "      <th>play_points_lost</th>\n",
              "      <th>play_start_position_yards</th>\n",
              "      <th>play_penalty_types</th>\n",
              "      <th>play_explosive</th>\n",
              "      <th>play_offensive_personnel</th>\n",
              "      <th>play_defensive_personnel</th>\n",
              "      <th>play_turnover_type</th>\n",
              "      <th>play_offense_penalty_accepted</th>\n",
              "      <th>play_defense_penalty_accepted</th>\n",
              "      <th>play_offense_flagged</th>\n",
              "      <th>play_defense_flagged</th>\n",
              "      <th>play_tackle_success</th>\n",
              "      <th>play_lateral_success</th>\n",
              "      <th>play_yards_gained</th>\n",
              "      <th>play_epoch_uuid</th>\n",
              "      <th>play_offense_players_left</th>\n",
              "      <th>play_offense_players_right</th>\n",
              "      <th>play_snap_y</th>\n",
              "      <th>play_down_negated</th>\n",
              "      <th>play_point_of_attack_y</th>\n",
              "      <th>play_point_of_attack_dy</th>\n",
              "      <th>play_pocket_front_x</th>\n",
              "      <th>play_pocket_back_x</th>\n",
              "      <th>play_pocket_left_y</th>\n",
              "      <th>play_pocket_right_y</th>\n",
              "      <th>play_qb_exit_pocket_x</th>\n",
              "      <th>play_qb_exit_pocket_y</th>\n",
              "      <th>play_qb_exit_pocket_clock</th>\n",
              "      <th>play_run_gap</th>\n",
              "      <th>play_qb_dropback_depth</th>\n",
              "      <th>play_run_behind_1</th>\n",
              "      <th>play_run_behind_2</th>\n",
              "      <th>play_run_at</th>\n",
              "      <th>play_receiver_screen_pass</th>\n",
              "      <th>play_derived_pressure_gaps</th>\n",
              "      <th>play_pass_air_yards_to_the_sticks</th>\n",
              "      <th>play_pass_within_pocket</th>\n",
              "      <th>play_designed_pass</th>\n",
              "      <th>play_qb_rush</th>\n",
              "      <th>play_pass_thrownaway</th>\n",
              "      <th>play_formation_into_boundary</th>\n",
              "      <th>play_blitz</th>\n",
              "      <th>play_simulated_pressure</th>\n",
              "      <th>play_drop_eight</th>\n",
              "      <th>play_pass_comp_prob</th>\n",
              "      <th>play_catch_prob_with_placement</th>\n",
              "      <th>play_catch_prob_without_placement</th>\n",
              "      <th>play_initial_formation_run_strength</th>\n",
              "      <th>play_initial_formation_pass_strength</th>\n",
              "      <th>play_initial_formation_snap_side</th>\n",
              "      <th>play_initial_formation_fib</th>\n",
              "      <th>play_formation_run_strength</th>\n",
              "      <th>play_formation_pass_strength</th>\n",
              "      <th>play_formation_fib</th>\n",
              "      <th>play_pass_location</th>\n",
              "      <th>play_initial_formation</th>\n",
              "      <th>play_formation</th>\n",
              "      <th>play_punt_snap_time</th>\n",
              "      <th>play_punt_operation_time</th>\n",
              "      <th>play_punt_hang_time</th>\n",
              "      <th>play_net_punt_yards</th>\n",
              "      <th>play_gross_punt_yards</th>\n",
              "      <th>play_punt_roll_yards</th>\n",
              "      <th>play_punt_air_yards</th>\n",
              "      <th>play_punt_return_yards</th>\n",
              "      <th>play_punt_block_point_x</th>\n",
              "      <th>play_punt_block_point_y</th>\n",
              "      <th>play_punt_outcome</th>\n",
              "      <th>play_kickoff_x</th>\n",
              "      <th>play_kickoff_y</th>\n",
              "      <th>play_kickoff_land_x</th>\n",
              "      <th>play_kickoff_land_y</th>\n",
              "      <th>play_kickoff_outcome</th>\n",
              "      <th>play_kick_hang_time</th>\n",
              "      <th>play_kickoff_return_yards</th>\n",
              "      <th>play_kickoff_return_chunk</th>\n",
              "      <th>play_kickoff_return_explosive</th>\n",
              "      <th>play_fg_snap_time</th>\n",
              "      <th>play_fg_operation_time</th>\n",
              "      <th>play_fg_attempted</th>\n",
              "      <th>play_fg_made</th>\n",
              "      <th>play_fg_kick_blocked</th>\n",
              "      <th>play_fg_length</th>\n",
              "      <th>play_xp_snap_time</th>\n",
              "      <th>play_xp_operation_time</th>\n",
              "      <th>play_xp_attempted</th>\n",
              "      <th>play_xp_made</th>\n",
              "      <th>play_xp_kick_blocked</th>\n",
              "      <th>play_motion_type</th>\n",
              "      <th>play_havoc</th>\n",
              "      <th>play_qb_scramble</th>\n",
              "      <th>play_contested_catch_attempt</th>\n",
              "      <th>play_pass_made</th>\n",
              "      <th>play_yards_after_contact</th>\n",
              "      <th>play_target_separation</th>\n",
              "      <th>play_pass_placement_displacement</th>\n",
              "      <th>play_tackle_types</th>\n",
              "      <th>play_catch_separation</th>\n",
              "      <th>play_handoff_received</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>Dallas Cowboys</td>\n",
              "      <td>2021/2022</td>\n",
              "      <td>Week 1</td>\n",
              "      <td>a7e97cac-bb9f-4c7a-82be-7410e02db170</td>\n",
              "      <td>40.0</td>\n",
              "      <td>1502044</td>\n",
              "      <td>2021_01_DAL_TB</td>\n",
              "      <td>2021090900</td>\n",
              "      <td>a7e97cac-bb9f-4c7a-82be-7410e02db170</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>900000.0</td>\n",
              "      <td>True</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>1000947</td>\n",
              "      <td>TB</td>\n",
              "      <td>1001367</td>\n",
              "      <td>DAL</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>64.85</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Kickoff</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>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>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>{}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>64.85</td>\n",
              "      <td>26.33</td>\n",
              "      <td>-4.2</td>\n",
              "      <td>44.83</td>\n",
              "      <td>Touch-Back</td>\n",
              "      <td>4.548821</td>\n",
              "      <td>0.0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>{}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>Dallas Cowboys</td>\n",
              "      <td>2021/2022</td>\n",
              "      <td>Week 1</td>\n",
              "      <td>40f5181d-b943-44cb-ab59-4e44c26a1c5a</td>\n",
              "      <td>55.0</td>\n",
              "      <td>1502044</td>\n",
              "      <td>2021_01_DAL_TB</td>\n",
              "      <td>2021090900</td>\n",
              "      <td>a7e97cac-bb9f-4c7a-82be-7410e02db170</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>900000.0</td>\n",
              "      <td>True</td>\n",
              "      <td>7</td>\n",
              "      <td>48</td>\n",
              "      <td>1000947</td>\n",
              "      <td>TB</td>\n",
              "      <td>1001367</td>\n",
              "      <td>DAL</td>\n",
              "      <td>True</td>\n",
              "      <td>1.0</td>\n",
              "      <td>10.00</td>\n",
              "      <td>24.85</td>\n",
              "      <td>right</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>{1.1835183157271487,6.6028928918506935,11.6621...</td>\n",
              "      <td>{3.0232148907921257,3.8112428367677538}</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>5.12</td>\n",
              "      <td>0</td>\n",
              "      <td>Rush</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>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>NaN</td>\n",
              "      <td>10.31</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>3.163333</td>\n",
              "      <td>{}</td>\n",
              "      <td>False</td>\n",
              "      <td>{\"OL\": 5, \"QB\": 1, \"RB\": 1, \"TE\": 0, \"WR\": 4}</td>\n",
              "      <td>{\"DB\": 5, \"DL\": 4, \"LB\": 2}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.12</td>\n",
              "      <td>57c20afe-9fd9-4292-bcb3-2a0f9978e094</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>29.83</td>\n",
              "      <td>False</td>\n",
              "      <td>26.45163</td>\n",
              "      <td>-3.37837</td>\n",
              "      <td>24.85</td>\n",
              "      <td>14.85</td>\n",
              "      <td>26.486372</td>\n",
              "      <td>32.750886</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Left B Gap</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1501028.0</td>\n",
              "      <td>1003199.0</td>\n",
              "      <td>1023957.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>R</td>\n",
              "      <td>O</td>\n",
              "      <td>L</td>\n",
              "      <td>L</td>\n",
              "      <td>O</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Deuce Left H on</td>\n",
              "      <td>Deuce Left H on</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Jet</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.61</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>{\"Assisted - Success\",\"Solo assisted - Success\"}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>Dallas Cowboys</td>\n",
              "      <td>2021/2022</td>\n",
              "      <td>Week 1</td>\n",
              "      <td>b5bda7d2-d9de-4c0b-9669-65a66d4acec1</td>\n",
              "      <td>76.0</td>\n",
              "      <td>1502044</td>\n",
              "      <td>2021_01_DAL_TB</td>\n",
              "      <td>2021090900</td>\n",
              "      <td>a7e97cac-bb9f-4c7a-82be-7410e02db170</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>857000.0</td>\n",
              "      <td>True</td>\n",
              "      <td>49</td>\n",
              "      <td>104</td>\n",
              "      <td>1000947</td>\n",
              "      <td>TB</td>\n",
              "      <td>1001367</td>\n",
              "      <td>DAL</td>\n",
              "      <td>True</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.88</td>\n",
              "      <td>29.97</td>\n",
              "      <td>center</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>{6.203040047152442,12.389988809218934,4.052941...</td>\n",
              "      <td>{4.1204671740372945,3.554162517773179}</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>2.91</td>\n",
              "      <td>0</td>\n",
              "      <td>Rush</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>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>NaN</td>\n",
              "      <td>7.41</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>-0.836667</td>\n",
              "      <td>{}</td>\n",
              "      <td>False</td>\n",
              "      <td>{\"OL\": 5, \"QB\": 1, \"RB\": 1, \"TE\": 1, \"WR\": 3}</td>\n",
              "      <td>{\"DB\": 5, \"DL\": 4, \"LB\": 2}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.91</td>\n",
              "      <td>ac1e74a4-8508-49c8-af50-adb05e6f6c19</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>25.88</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>29.86</td>\n",
              "      <td>19.86</td>\n",
              "      <td>22.595337</td>\n",
              "      <td>29.152963</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>R</td>\n",
              "      <td>R</td>\n",
              "      <td>Y</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Triple Pair Right</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.35</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>{\"Assisted - Success\",\"Solo assisted - Success...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>Dallas Cowboys</td>\n",
              "      <td>2021/2022</td>\n",
              "      <td>Week 1</td>\n",
              "      <td>77a7a49f-8002-4009-b01c-ffd009753c20</td>\n",
              "      <td>97.0</td>\n",
              "      <td>1502044</td>\n",
              "      <td>2021_01_DAL_TB</td>\n",
              "      <td>2021090900</td>\n",
              "      <td>a7e97cac-bb9f-4c7a-82be-7410e02db170</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>813000.0</td>\n",
              "      <td>True</td>\n",
              "      <td>105</td>\n",
              "      <td>154</td>\n",
              "      <td>1000947</td>\n",
              "      <td>TB</td>\n",
              "      <td>1001367</td>\n",
              "      <td>DAL</td>\n",
              "      <td>True</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.97</td>\n",
              "      <td>32.88</td>\n",
              "      <td>right</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>8</td>\n",
              "      <td>{0.8660259924080904,1.7220056958028707,16.2227...</td>\n",
              "      <td>{1.9184864298040836,1.1514152937425663}</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0</td>\n",
              "      <td>Pass</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>18.36</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.34047</td>\n",
              "      <td>False</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>3.043333</td>\n",
              "      <td>{}</td>\n",
              "      <td>False</td>\n",
              "      <td>{\"OL\": 5, \"QB\": 1, \"RB\": 1, \"TE\": 0, \"WR\": 4}</td>\n",
              "      <td>{\"DB\": 5, \"DL\": 4, \"LB\": 2}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>375537ee-003a-40c9-acc1-4fb428087a5c</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>29.54</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>32.91</td>\n",
              "      <td>22.91</td>\n",
              "      <td>25.647412</td>\n",
              "      <td>32.585124</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.868387</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>16.39</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.472768</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>R</td>\n",
              "      <td>Y</td>\n",
              "      <td>L</td>\n",
              "      <td>L</td>\n",
              "      <td>Y</td>\n",
              "      <td>In</td>\n",
              "      <td>Triple Left</td>\n",
              "      <td>Triple Left</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>In</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.749801</td>\n",
              "      <td>NaN</td>\n",
              "      <td>{}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Tampa Bay Buccaneers</td>\n",
              "      <td>Dallas Cowboys</td>\n",
              "      <td>2021/2022</td>\n",
              "      <td>Week 1</td>\n",
              "      <td>183a7382-be28-4779-b5f9-19fcf5ef4f16</td>\n",
              "      <td>119.0</td>\n",
              "      <td>1502044</td>\n",
              "      <td>2021_01_DAL_TB</td>\n",
              "      <td>2021090900</td>\n",
              "      <td>a7e97cac-bb9f-4c7a-82be-7410e02db170</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>806000.0</td>\n",
              "      <td>True</td>\n",
              "      <td>155</td>\n",
              "      <td>161</td>\n",
              "      <td>1000947</td>\n",
              "      <td>TB</td>\n",
              "      <td>1001367</td>\n",
              "      <td>DAL</td>\n",
              "      <td>True</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.97</td>\n",
              "      <td>33.03</td>\n",
              "      <td>right</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>{}</td>\n",
              "      <td>{}</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>64.93</td>\n",
              "      <td>0</td>\n",
              "      <td>Punt</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>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>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>64.95</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>2.863333</td>\n",
              "      <td>{}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Turnover from Punt</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>64.93</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>29.65</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.826519</td>\n",
              "      <td>2.042223</td>\n",
              "      <td>5.560785</td>\n",
              "      <td>64.95</td>\n",
              "      <td>64.95</td>\n",
              "      <td>0.03</td>\n",
              "      <td>64.92</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.23</td>\n",
              "      <td>0.12</td>\n",
              "      <td>Out</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>{}</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e9c9eeb2-f94c-499e-8d67-66ad5add2df8')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e9c9eeb2-f94c-499e-8d67-66ad5add2df8 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e9c9eeb2-f94c-499e-8d67-66ad5add2df8');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8de4d89a-e8f5-4f7e-a373-2ae8b85e8d8d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8de4d89a-e8f5-4f7e-a373-2ae8b85e8d8d')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8de4d89a-e8f5-4f7e-a373-2ae8b85e8d8d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "plays.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VVJqXyH1D2-X"
      },
      "source": [
        "Now we join them up so we can do some quick analysis and plotting."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "MeFKcY9mD2-Y"
      },
      "outputs": [],
      "source": [
        "events = pd.merge(\n",
        "    events,\n",
        "    plays[[\"play_uuid\", \"play_yardline\", \"play_action_pass\"]],\n",
        "    on=\"play_uuid\",\n",
        "    how=\"left\"\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zi1z71CnD2-Z"
      },
      "source": [
        "For the purposes of this demonstration, we're going to focus on Brady's passes, so we'll filter the data down to those.\n",
        "\n",
        "N.B. The `event_types` column can contain multiple types per event, which can add a lot of context to the data."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "CtdJtVtgD2-b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "02feaa62-f9e2-4747-e4ba-94a256bf6458"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Number of passes: 1675'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "tb_passes = events.query(\n",
        "    \"player_name == 'Tom Brady' and event_types.str.contains('Pass') and event_types.str.contains('Fake Pass') == 0\"\n",
        ").copy()\n",
        "f\"Number of passes: {len(tb_passes)}\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TkB-jGwhD2-c"
      },
      "source": [
        "The following is a helper function to plot a field on an existing axis. There are options for the orientation of the field to be plotted, whether to use NFL or NCAA hash markings, colors and how to annotate yardlines."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "D6PbmfmJD2-d"
      },
      "outputs": [],
      "source": [
        "X_MIN = -10\n",
        "X_MAX = 110\n",
        "Y_MIN = 0\n",
        "Y_MAX = 160 / 3\n",
        "Y_MID = (Y_MAX - Y_MIN) / 2\n",
        "\n",
        "GOAL_WIDTH = 6.166667  # 18 feet 6 inches\n",
        "LHS_POST = Y_MID - (GOAL_WIDTH / 2)\n",
        "RHS_POST = Y_MID + (GOAL_WIDTH / 2)\n",
        "CROSSBAR = 3.3  # 10 feet\n",
        "POST_HEIGHT = 11.6667  # 35 feet\n",
        "\n",
        "NFL_HASH = 23.583333  # 70 feet 9 inches\n",
        "NCAA_HASH = 20.0  # 60 feet\n",
        "\n",
        "\n",
        "def field(\n",
        "    ax: plt.axes,\n",
        "    orientation: Literal[\"horizontal\", \"vertical\"],\n",
        "    level: Literal[\"NFL\", \"NCAA\"],\n",
        "    background_color: str = \"#F2F2F2\",\n",
        "    patch_color: str = \"#CCCCCC\",\n",
        "    line_color: str = \"#999999\",\n",
        "    normalise_los: bool = False,\n",
        ") -> plt.axes:\n",
        "\n",
        "    hash_mark = NCAA_HASH if level == \"NCAA\" else NFL_HASH\n",
        "    hash_left = hash_mark\n",
        "    hash_right = Y_MAX - hash_mark\n",
        "\n",
        "    x_extent = [X_MIN, X_MIN, X_MIN, X_MAX, X_MAX, X_MAX, X_MAX, X_MIN]\n",
        "    y_extent = [Y_MIN, Y_MAX, Y_MIN, Y_MIN, Y_MAX, Y_MAX, Y_MAX, Y_MAX]\n",
        "\n",
        "    ax.plot(\n",
        "        x_extent if orientation == \"horizontal\" else y_extent,\n",
        "        y_extent if orientation == \"horizontal\" else x_extent,\n",
        "        color=line_color,\n",
        "        lw=1,\n",
        "    )\n",
        "\n",
        "    for b in [0.0, 100.0]:\n",
        "        ax.plot(\n",
        "            [b, b] if orientation == \"horizontal\" else [Y_MIN, Y_MAX],\n",
        "            [Y_MIN, Y_MAX] if orientation == \"horizontal\" else [b, b],\n",
        "            color=line_color,\n",
        "            lw=1,\n",
        "            zorder=1,\n",
        "        )\n",
        "\n",
        "    canvas = patches.Rectangle(\n",
        "        (0, 0),\n",
        "        100 if orientation == \"horizontal\" else Y_MAX,\n",
        "        Y_MAX if orientation == \"horizontal\" else 100,\n",
        "        linewidth=0.1,\n",
        "        edgecolor=line_color,\n",
        "        facecolor=background_color,\n",
        "        zorder=0,\n",
        "    )\n",
        "    ax.add_patch(canvas)\n",
        "\n",
        "    for n, line in enumerate(np.arange(0.0, 100.0, 10)):\n",
        "        ax.plot(\n",
        "            [line, line] if orientation == \"horizontal\" else [Y_MIN, Y_MAX],\n",
        "            [Y_MIN, Y_MAX] if orientation == \"horizontal\" else [line, line],\n",
        "            color=line_color,\n",
        "            zorder=1,\n",
        "            alpha=0.5,\n",
        "        )\n",
        "        if n % 2 == 0:\n",
        "            patch = patches.Rectangle(\n",
        "                (line, Y_MIN) if orientation == \"horizontal\" else (Y_MIN, line),\n",
        "                10 if orientation == \"horizontal\" else Y_MAX,\n",
        "                Y_MAX if orientation == \"horizontal\" else 10,\n",
        "                linewidth=0.1,\n",
        "                edgecolor=line_color,\n",
        "                facecolor=patch_color,\n",
        "                zorder=1,\n",
        "            )\n",
        "            ax.add_patch(patch)\n",
        "\n",
        "    for dash_line in np.arange(5.0, 100.0, 5):\n",
        "        ax.plot(\n",
        "            [dash_line, dash_line] if orientation == \"horizontal\" else [Y_MIN, Y_MAX],\n",
        "            [Y_MIN, Y_MAX] if orientation == \"horizontal\" else [dash_line, dash_line],\n",
        "            ls=\"--\",\n",
        "            color=line_color,\n",
        "            lw=1.0,\n",
        "            alpha=0.5,\n",
        "            zorder=1,\n",
        "        )\n",
        "\n",
        "    for x in np.linspace(1, 99, 99):\n",
        "        ax.plot(\n",
        "            [x, x] if orientation == \"horizontal\" else [Y_MIN, 0.7],\n",
        "            [Y_MIN, 0.7] if orientation == \"horizontal\" else [x, x],\n",
        "            color=line_color,\n",
        "            lw=1.0,\n",
        "            alpha=0.5,\n",
        "            zorder=1,\n",
        "        )\n",
        "        ax.plot(\n",
        "            [x, x] if orientation == \"horizontal\" else [Y_MAX, Y_MAX - 0.7],\n",
        "            [Y_MAX, Y_MAX - 0.7] if orientation == \"horizontal\" else [x, x],\n",
        "            color=line_color,\n",
        "            lw=1.0,\n",
        "            alpha=0.5,\n",
        "            zorder=1,\n",
        "        )\n",
        "        ax.plot(\n",
        "            [x, x] if orientation == \"horizontal\" else [hash_left, hash_left - 0.7],\n",
        "            [hash_left, hash_left - 0.7] if orientation == \"horizontal\" else [x, x],\n",
        "            color=line_color,\n",
        "            lw=1.0,\n",
        "            alpha=0.5,\n",
        "            zorder=1,\n",
        "        )\n",
        "        ax.plot(\n",
        "            [x, x] if orientation == \"horizontal\" else [hash_right, hash_right + 0.7],\n",
        "            [hash_right, hash_right + 0.7] if orientation == \"horizontal\" else [x, x],\n",
        "            color=line_color,\n",
        "            lw=1.0,\n",
        "            alpha=0.5,\n",
        "            zorder=1,\n",
        "        )\n",
        "\n",
        "    coords = [10, 20, 30, 40, 50, 60, 70, 80, 90]\n",
        "    values = (\n",
        "        [\"10\", \"20\", \"30\", \"40\", \"50\", \"40\", \"30\", \"20\", \"10\"]\n",
        "        if normalise_los is False\n",
        "        else [\"-10\", \"LOS\", \"10\", \"20\", \"30\", \"40\", \"50\", \"60\", \"70\"]\n",
        "    )\n",
        "    for x, v in zip(coords, values):\n",
        "        ax.annotate(\n",
        "            v,\n",
        "            (x, Y_MAX + 1.5) if orientation == \"horizontal\" else (Y_MAX + 2, x),\n",
        "            ha=\"center\",\n",
        "            va=\"center\",\n",
        "            color=line_color,\n",
        "        )\n",
        "        ax.annotate(\n",
        "            v,\n",
        "            (x, Y_MIN - 1.5) if orientation == \"horizontal\" else (Y_MIN - 2, x),\n",
        "            ha=\"center\",\n",
        "            va=\"center\",\n",
        "            color=line_color,\n",
        "        )\n",
        "\n",
        "    ax.axis(\"off\")\n",
        "\n",
        "    return ax"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G3uuNBu8D2-e"
      },
      "source": [
        "For the following analysis, we're going to dig into Brady's passes when the Buccaneers ran their offense with and without play action."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZBPWaFgwD2-e"
      },
      "source": [
        "We can perform a basic analysis of Brady's tendencies and performance with and without play action by grouping on the `play_action_pass` variable, including a calcuation of Brady's expected completion probability and completion percentage above expectation (CPOE). See [here](https://statsbomb.com/articles/football/2023-nfl-draft-examining-the-passing-profile-and-accuracy-of-the-top-quarterback-prospects/) for more on our completion probability models.\n",
        "\n",
        "N.B. We filter the passes here to those with an `event_pass_comp_prob` present, as passes without a receiver identified are nulls in the data as receiver separation and distance from the QB are key features of the model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "1h00BoU7D2-e",
        "outputId": "545d97d2-679a-4d1d-a01b-83b4a39c934c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  play_action_pass  event_uuid  event_pass_time_to_throw  \\\n",
              "0            False        1408                  2.396668   \n",
              "1             True         229                  2.804764   \n",
              "\n",
              "   event_pass_air_yards  event_pass_comp_prob  event_success      cpoe  \n",
              "0              7.362438              0.674910       0.674006 -0.090421  \n",
              "1              9.170318              0.667516       0.615721 -5.179520  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7d8cf364-515a-4006-9234-81c99dbf691c\" class=\"colab-df-container\">\n",
              "    <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_action_pass</th>\n",
              "      <th>event_uuid</th>\n",
              "      <th>event_pass_time_to_throw</th>\n",
              "      <th>event_pass_air_yards</th>\n",
              "      <th>event_pass_comp_prob</th>\n",
              "      <th>event_success</th>\n",
              "      <th>cpoe</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>False</td>\n",
              "      <td>1408</td>\n",
              "      <td>2.396668</td>\n",
              "      <td>7.362438</td>\n",
              "      <td>0.674910</td>\n",
              "      <td>0.674006</td>\n",
              "      <td>-0.090421</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>True</td>\n",
              "      <td>229</td>\n",
              "      <td>2.804764</td>\n",
              "      <td>9.170318</td>\n",
              "      <td>0.667516</td>\n",
              "      <td>0.615721</td>\n",
              "      <td>-5.179520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7d8cf364-515a-4006-9234-81c99dbf691c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-7d8cf364-515a-4006-9234-81c99dbf691c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-7d8cf364-515a-4006-9234-81c99dbf691c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-735e526b-1cb7-4f28-887f-98e85a4c6d69\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-735e526b-1cb7-4f28-887f-98e85a4c6d69')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-735e526b-1cb7-4f28-887f-98e85a4c6d69 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "play_action = (\n",
        "    tb_passes.query(\"event_pass_comp_prob > 0\")\n",
        "    .groupby(\"play_action_pass\", as_index=False)\n",
        "    .agg(\n",
        "        {\n",
        "            \"event_uuid\": \"count\",\n",
        "            \"event_pass_time_to_throw\": \"mean\",\n",
        "            \"event_pass_air_yards\": \"mean\",\n",
        "            \"event_pass_comp_prob\": \"mean\",\n",
        "            \"event_success\": \"mean\",\n",
        "        }\n",
        "    )\n",
        ")\n",
        "play_action[\"cpoe\"] = (\n",
        "    play_action[\"event_success\"] - play_action[\"event_pass_comp_prob\"]\n",
        ") * 100\n",
        "play_action"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dz48iF9OD2-e"
      },
      "source": [
        "As might be expected, Brady's time to throw and air yards are longer on play action passes, while the expected completion rate is a little lower. These are small sample sizes, but intriguingly, his CPOE is significantly lower on play action passes."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BzhQXXspD2-g"
      },
      "source": [
        "\n",
        "We calculate their play action rate on Brady's passing plays in the cell below so we can use it in the subplot titles below."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "Szmu7Y6iD2-g",
        "outputId": "cded4c01-39ce-4faf-cd30-c02eee61ae15"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Play action rate: 14.0%'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "play_action_prop = tb_passes[\"play_action_pass\"].mean()\n",
        "f\"Play action rate: {play_action_prop:.1%}\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0MNa3l3-D2-h"
      },
      "source": [
        "In order to make the plots look cleaner and more interpretable, we'll add columns to normalise the `event_x` and `event_end_x` coordinates to the line-of-scrimmage, plus a buffer of 20 yards to align with the field plot nicely."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "ZYx2KpcRD2-h"
      },
      "outputs": [],
      "source": [
        "tb_passes[\"event_x_norm\"] = tb_passes[\"event_x\"] - tb_passes[\"play_yardline\"] + 20\n",
        "tb_passes[\"event_end_x_norm\"] = (\n",
        "    tb_passes[\"event_end_x\"] - tb_passes[\"play_yardline\"] + 20\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8xCUAmR5D2-h"
      },
      "source": [
        "First, let's plot a spray chart of his passes with the x-coordinate normalised to the line-of-scrimmage."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 879
        },
        "id": "jIIgsCKUD2-h",
        "outputId": "04ec2e8b-4ed1-45e6-e270-05750852d80e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1060 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, _ = plt.subplots(2, 1, figsize=(12, 10.6))\n",
        "\n",
        "for ax, (play_action, passes) in zip(fig.axes, tb_passes.groupby(\"play_action_pass\")):\n",
        "    field(ax, orientation=\"horizontal\", level=\"NFL\", normalise_los=True)\n",
        "\n",
        "    for sx, ex, sy, ey in zip(\n",
        "        passes[\"event_x_norm\"],\n",
        "        passes[\"event_end_x_norm\"],\n",
        "        passes[\"event_y\"],\n",
        "        passes[\"event_end_y\"],\n",
        "    ):\n",
        "        ax.plot([sx, ex], [sy, ey], color=\"#e21017\", lw=0.5, alpha=0.5)\n",
        "\n",
        "    ax.set_xlim(-10, 111)\n",
        "    ax.set_ylim(Y_MIN - 2, Y_MAX + 2)\n",
        "    ax.set_title(\n",
        "        f\"Tom Brady passes with play action: {play_action_prop:.0%} of all passes\"\n",
        "        if play_action == 1\n",
        "        else f\"Tom Brady passes without play action: {1-play_action_prop:.0%} of all passes\"\n",
        "    )"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hxn6EhhgD2-i"
      },
      "source": [
        "The above is nice but the density of passes can make things a little hard to decipher and Brady's tendency to stay in the pocket means that the start locations of the passes provides limited interest."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WGm4Od_FD2-i"
      },
      "source": [
        "Let's plot the end locations as a heatmap to see if we can observe any clearer patterns."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 879
        },
        "id": "4vr1W-ZXD2-j",
        "outputId": "2293d62b-e95b-4d83-8ecc-d3995ab8058a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1060 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, _ = plt.subplots(2, 1, figsize=(12, 10.6))\n",
        "for ax, (play_action, passes) in zip(fig.axes, tb_passes.groupby(\"play_action_pass\")):\n",
        "    field(ax, orientation=\"horizontal\", level=\"NFL\", normalise_los=True)\n",
        "\n",
        "    sns.kdeplot(\n",
        "        passes,\n",
        "        x=\"event_end_x_norm\",\n",
        "        y=\"event_end_y\",\n",
        "        ax=ax,\n",
        "        fill=True,\n",
        "        alpha=0.8,\n",
        "        cmap=\"Reds\",\n",
        "        clip=(tb_passes[\"event_end_y\"].min(), tb_passes[\"event_end_y\"].max()),\n",
        "    )\n",
        "\n",
        "    ax.set_xlim(-10, 111)\n",
        "    ax.set_ylim(Y_MIN - 2, Y_MAX + 2)\n",
        "    ax.set_title(\n",
        "        f\"Tom Brady passes with play action: {play_action_prop:.0%} of all passes\"\n",
        "        if play_action == 1\n",
        "        else f\"Tom Brady passes without play action: {1-play_action_prop:.0%} of all passes\"\n",
        "    )"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ILOCR3JpD2-j"
      },
      "source": [
        "Now things are clearer in terms of Brady's tendencies with and without play action:\n",
        "* Deeper shots downfield with play action, in line with the average air yards calculated above, alongside more passes behind or on the line-of-scrimmage\n",
        "* Without play action, he has a clear hot spot over the middle extending to his right\n",
        "* With play action, there is a greater concentration to his left that extends from behind the line-of-scrimmage through intermediate lengths around 10-yards downfield\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ArzbXvJdD2-j"
      },
      "source": [
        "That wraps up our brief exploration of the dataset in Python. We've only scratched the surface of the data and what can be done with it.\n",
        "\n",
        "We look forward to seeing what further insights can be found in the data!"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "amf-analysis-M6zS4zbF-py3.8",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.12"
    },
    "orig_nbformat": 4,
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}