NHLxGV1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from hockey_rink import NHLRink, RinkImage\n",
    "import xgboost as xgb\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Overall Goal: What players were best in xG? This is a great way to evaluate from a hollistic standpoint a players offensive play. If they are rated highly in this category, that means they are taking high quality shots that often result in goals. Going to build 2 xG Models: 1) Logistic Regression 2)XGBoost . I would expect the XGBoost model to be better since it is an ensemble learning method. We will see."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 1: Loading in the CSV File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "shotData=pd.read_csv(\"C:/Data Science Practice/NHLxG/NHLxG/shots_2023.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "#shotData=shotData[['shotID','arenaAdjustedShotDistance', 'arenaAdjustedXCord', 'arenaAdjustedYCord','averageRestDifference','awayEmptyNet','awaySkatersOnIce','awayTeamCode', 'distanceFromLastEvent','event','game_id','goal','homeEmptyNet','homeSkatersOnIce','homeTeamCode','isPlayoffGame','lastEventCategory','lastEventTeam','lastEventxCord_adjusted','lastEventyCord_adjusted','location','period','shotAngleAdjusted','shotAnglePlusRebound','shotDistance','shotOnEmptyNet','shotRebound','shotRush','shotType','shotWasOnGoal','timeSinceLastEvent','xGoal','team','xCord','yCord','lastEventxCord','lastEventyCord']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "shotData=shotData[['shotID', 'shooterName','shooterPlayerId' ,'shotDistance','timeSinceLastEvent','shotType','speedFromLastEvent','shotAngleAdjusted','shotOnEmptyNet','arenaAdjustedXCord', 'arenaAdjustedYCord', 'goal']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shotID</th>\n",
       "      <th>shooterName</th>\n",
       "      <th>shooterPlayerId</th>\n",
       "      <th>shotDistance</th>\n",
       "      <th>timeSinceLastEvent</th>\n",
       "      <th>shotType</th>\n",
       "      <th>speedFromLastEvent</th>\n",
       "      <th>shotAngleAdjusted</th>\n",
       "      <th>shotOnEmptyNet</th>\n",
       "      <th>arenaAdjustedXCord</th>\n",
       "      <th>arenaAdjustedYCord</th>\n",
       "      <th>goal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Darren Raddysh</td>\n",
       "      <td>8478178.0</td>\n",
       "      <td>39.698866</td>\n",
       "      <td>3</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>18.678568</td>\n",
       "      <td>40.914383</td>\n",
       "      <td>0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>-26.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Brayden Point</td>\n",
       "      <td>8478010.0</td>\n",
       "      <td>11.313708</td>\n",
       "      <td>9</td>\n",
       "      <td>TIP</td>\n",
       "      <td>4.499657</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Tanner Jeannot</td>\n",
       "      <td>8479661.0</td>\n",
       "      <td>45.343136</td>\n",
       "      <td>11</td>\n",
       "      <td>SNAP</td>\n",
       "      <td>10.948414</td>\n",
       "      <td>41.423666</td>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Michael Eyssimont</td>\n",
       "      <td>8479591.0</td>\n",
       "      <td>43.139309</td>\n",
       "      <td>32</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>0.662913</td>\n",
       "      <td>44.060809</td>\n",
       "      <td>0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>-30.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Filip Forsberg</td>\n",
       "      <td>8476887.0</td>\n",
       "      <td>42.201896</td>\n",
       "      <td>19</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>6.831571</td>\n",
       "      <td>53.673174</td>\n",
       "      <td>0</td>\n",
       "      <td>-64.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   shotID        shooterName  shooterPlayerId  shotDistance  \\\n",
       "0       0     Darren Raddysh        8478178.0     39.698866   \n",
       "1       1      Brayden Point        8478010.0     11.313708   \n",
       "2       2     Tanner Jeannot        8479661.0     45.343136   \n",
       "3       3  Michael Eyssimont        8479591.0     43.139309   \n",
       "4       4     Filip Forsberg        8476887.0     42.201896   \n",
       "\n",
       "   timeSinceLastEvent shotType  speedFromLastEvent  shotAngleAdjusted  \\\n",
       "0                   3    WRIST           18.678568          40.914383   \n",
       "1                   9      TIP            4.499657          45.000000   \n",
       "2                  11     SNAP           10.948414          41.423666   \n",
       "3                  32    WRIST            0.662913          44.060809   \n",
       "4                  19    WRIST            6.831571          53.673174   \n",
       "\n",
       "   shotOnEmptyNet  arenaAdjustedXCord  arenaAdjustedYCord  goal  \n",
       "0               0                59.0               -26.0     0  \n",
       "1               0                81.0                 8.0     0  \n",
       "2               0                55.0                30.0     0  \n",
       "3               0                58.0               -30.0     0  \n",
       "4               0               -64.0                34.0     0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shotData.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now have our 8 Variables to predict the probability of a goal:\n",
    "    1) Shot Distance\n",
    "    2) Time Since last Event\n",
    "    3) Shot Type\n",
    "    4) Speed From Last Event\n",
    "    5) Shot Angle (Adjusted meaning just the maginitude of the angle.)\n",
    "    6) Shot On Empty Net\n",
    "    7) X-Cord (Adjusted for arena)\n",
    "    8) Y-Cord (Adjusted for arena)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Going to convert all x and y coordinates so that I can have all shots happening on the right side of rink/positive x coordinates\n",
    "shotData['arenaAdjustedXCord']=np.where(shotData['arenaAdjustedXCord'] < 0, shotData['arenaAdjustedXCord'] * -1, shotData['arenaAdjustedXCord'])\n",
    "shotData['arenaAdjustedYCord']=np.where(shotData['arenaAdjustedXCord'] < 0, shotData['arenaAdjustedYCord'] * -1, shotData['arenaAdjustedYCord'])\n",
    "shotData.drop(shotData[shotData['arenaAdjustedXCord'] >89].index, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='arenaAdjustedXCord', ylabel='arenaAdjustedYCord'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Going to try to plot scatterplot on top of a rink, to get better visualization (This makes no sense, goals happen from below goal line??? Banks maybe??)\n",
    "shotDataGoals=shotData[shotData['goal']==1]\n",
    "rink=NHLRink()\n",
    "rink.plot_fn(sns.scatterplot,data=shotDataGoals, x=\"arenaAdjustedXCord\", y=\"arenaAdjustedYCord\", hue=\"goal\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Going to look at scatterplot to see relationship between xCord and yCord\n",
    "sns.scatterplot(data=shotData, x=\"arenaAdjustedXCord\", y=\"arenaAdjustedYCord\", hue=\"goal\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets convert shotType to a numerical variable (Lets do one hot encoding, label encoding was terrible) to represent each type of shot, that way we can pass it into a model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#First step load in one hot encoder from the sklearn.preprocessing library\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "#Second step is to initialize OneHotEncoder\n",
    "ohe=OneHotEncoder(sparse_output=False, drop='first')\n",
    "#Third step is to fit and transform\n",
    "shotData_ohe=ohe.fit_transform(shotData[['shotType']])\n",
    "#Fourth step is to conver the output to a datafram with the appropriate column names\n",
    "shotData_df_ohe=pd.DataFrame(shotData_ohe, columns=ohe.get_feature_names_out(['shotType']))\n",
    "#Fifth step is to combine the encoded shotType columns with the original dataframe\n",
    "shotData=pd.concat([shotData, shotData_df_ohe], axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 122426 entries, 0 to 120001\n",
      "Data columns (total 19 columns):\n",
      " #   Column              Non-Null Count   Dtype  \n",
      "---  ------              --------------   -----  \n",
      " 0   shotID              120298 non-null  float64\n",
      " 1   shooterName         120298 non-null  object \n",
      " 2   shooterPlayerId     120298 non-null  float64\n",
      " 3   shotDistance        120298 non-null  float64\n",
      " 4   timeSinceLastEvent  120298 non-null  float64\n",
      " 5   shotType            119287 non-null  object \n",
      " 6   speedFromLastEvent  120298 non-null  float64\n",
      " 7   shotAngleAdjusted   120298 non-null  float64\n",
      " 8   shotOnEmptyNet      120298 non-null  float64\n",
      " 9   arenaAdjustedXCord  120298 non-null  float64\n",
      " 10  arenaAdjustedYCord  120298 non-null  float64\n",
      " 11  goal                120298 non-null  float64\n",
      " 12  shotType_DEFL       120298 non-null  float64\n",
      " 13  shotType_SLAP       120298 non-null  float64\n",
      " 14  shotType_SNAP       120298 non-null  float64\n",
      " 15  shotType_TIP        120298 non-null  float64\n",
      " 16  shotType_WRAP       120298 non-null  float64\n",
      " 17  shotType_WRIST      120298 non-null  float64\n",
      " 18  shotType_nan        120298 non-null  float64\n",
      "dtypes: float64(17), object(2)\n",
      "memory usage: 18.7+ MB\n"
     ]
    }
   ],
   "source": [
    "#Just want to see data now\n",
    "shotData.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 117179 entries, 0 to 120297\n",
      "Data columns (total 19 columns):\n",
      " #   Column              Non-Null Count   Dtype  \n",
      "---  ------              --------------   -----  \n",
      " 0   shotID              117179 non-null  float64\n",
      " 1   shooterName         117179 non-null  object \n",
      " 2   shooterPlayerId     117179 non-null  float64\n",
      " 3   shotDistance        117179 non-null  float64\n",
      " 4   timeSinceLastEvent  117179 non-null  float64\n",
      " 5   shotType            117179 non-null  object \n",
      " 6   speedFromLastEvent  117179 non-null  float64\n",
      " 7   shotAngleAdjusted   117179 non-null  float64\n",
      " 8   shotOnEmptyNet      117179 non-null  float64\n",
      " 9   arenaAdjustedXCord  117179 non-null  float64\n",
      " 10  arenaAdjustedYCord  117179 non-null  float64\n",
      " 11  goal                117179 non-null  float64\n",
      " 12  shotType_DEFL       117179 non-null  float64\n",
      " 13  shotType_SLAP       117179 non-null  float64\n",
      " 14  shotType_SNAP       117179 non-null  float64\n",
      " 15  shotType_TIP        117179 non-null  float64\n",
      " 16  shotType_WRAP       117179 non-null  float64\n",
      " 17  shotType_WRIST      117179 non-null  float64\n",
      " 18  shotType_nan        117179 non-null  float64\n",
      "dtypes: float64(17), object(2)\n",
      "memory usage: 17.9+ MB\n"
     ]
    }
   ],
   "source": [
    "#Drop all rows that contain na values from shotData\n",
    "shotData.dropna(inplace=True)\n",
    "shotData.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from sklearn.preprocessing import LabelEncoder\n",
    "# le=LabelEncoder()\n",
    "# shotData['shotType'] = le.fit_transform(shotData['shotType'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "goal\n",
       "0.0    108975\n",
       "1.0      8204\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shotData['goal'].value_counts()\n",
    "#Just seeing how many goals were scored and not scored out of all the shots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now all our variables are numerical, so lets do some EDA. First, see the correlation beteween these variables using correlation matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(shotData[['shotDistance','timeSinceLastEvent','speedFromLastEvent','shotAngleAdjusted','shotOnEmptyNet','arenaAdjustedXCord', 'arenaAdjustedYCord']].corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Splitting the data into train and test data. Have to get the independent variables separate from out dependent target variable first"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=shotData[['shotDistance','timeSinceLastEvent','speedFromLastEvent','shotAngleAdjusted','shotOnEmptyNet','arenaAdjustedXCord', 'arenaAdjustedYCord','shotType_DEFL','shotType_SLAP','shotType_SNAP','shotType_TIP','shotType_WRAP','shotType_WRIST']]\n",
    "y=shotData.goal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train,y_test= train_test_split(X,y,test_size=0.2, random_state=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fitting Logistic Regression to the Training Set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Data Science Practice\\penv\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression()</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "model=LogisticRegression()\n",
    "model.fit(X_train,y_train)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "XGBoost Model start"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, have to create an XGBoost DMatrix since XGBoost uses its own data structure called DMatrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "dtrain = xgb.DMatrix(X_train, label=y_train)\n",
    "dtest = xgb.DMatrix(X_test, label=y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, Set the parameters for the XGBoost Model. Since we want the probability of each shot being a goal, we want to set the objective as logisitic regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = {\n",
    "    'objective': 'binary:logistic',  # For probability output\n",
    "    'eval_metric': 'auc',  # Evaluation metric for binary classification\n",
    "    'max_depth': 4,  # Maximum depth of a tree\n",
    "    'eta': 0.1,  # Learning rate\n",
    "    'subsample': 0.8,  # Subsample ratio of the training instances\n",
    "    'colsample_bytree': 0.8  # Subsample ratio of columns when constructing each tree\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have the data in the right structure and the parameters set, lets use cross validation to figure out the optimal number of boosting rounds and to avoid overfitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv_results = xgb.cv(\n",
    "    params,\n",
    "    dtrain,\n",
    "    num_boost_round=1000,  # A large number of rounds, allowing early stopping to decide\n",
    "    nfold=5,  # 5-fold cross-validation\n",
    "    metrics={'auc'},\n",
    "    early_stopping_rounds=10,  # Stop if no improvement for 10 rounds\n",
    "    seed=42\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "95"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_rounds=cv_results.shape[0]\n",
    "num_rounds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have the data in the right structure,the parameters set, and the number of boosting rounds determined, lets train the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "bst = xgb.train(params, dtrain, num_rounds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.11954017, 0.07070702, 0.01656601, ..., 0.05232338, 0.05939785,\n",
       "       0.06144998], dtype=float32)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_XGBoost_pred=bst.predict(dtest)\n",
    "y_XGBoost_pred"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Evaluating the XGBoost Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROC AUC: 0.7705879392558174\n"
     ]
    }
   ],
   "source": [
    "# # Accuracy\n",
    "# accuracy = accuracy_score(y_test, y_XGBoost_pred)\n",
    "# print(f'Accuracy: {accuracy}')\n",
    "\n",
    "# ROC AUC score\n",
    "roc_auc = roc_auc_score(y_test, y_XGBoost_pred)\n",
    "print(f'ROC AUC: {roc_auc}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, our XGBoost Model is 93% accurate and basically exactly the same to the logistic regression model in terms of accuracy. It also has and ROC AUC score of 0.7706 which means the model is fair and acceptable, but definitely room for improvement. ROC AUC ranges from 0 to 1, with 1 being a perfect model and less than 0.5 meaning the model inversely predicting the class. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Feature Importance for XGBoost: Which features are most important in predicting the probability that a shot will be a goal (xG). That is what the below plot shows us"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Need to load in package to do so\n",
    "from sklearn.inspection import permutation_importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot feature importance\n",
    "\n",
    "feature_importance = bst.get_score(importance_type='weight')\n",
    "\n",
    "# Convert to array for plotting\n",
    "sorted_idx = np.argsort(list(feature_importance.values()))\n",
    "fig = plt.figure(figsize=(12, 6))\n",
    "plt.barh(range(len(sorted_idx)), np.array(list(feature_importance.values()))[sorted_idx], align='center')\n",
    "plt.yticks(range(len(sorted_idx)), np.array(list(feature_importance.keys()))[sorted_idx])\n",
    "plt.title('Feature Importance')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Predicting the test results for logistic regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 0., 0., ..., 0., 0., 0.])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred=model.predict(X_test)\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculating the coefficients for logistic regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-8.40597459e-02 -4.40432588e-03 -1.47432427e-02 -4.90260671e-03\n",
      "   3.93477703e+00 -4.37240929e-02  1.23772688e-03 -1.90629391e-01\n",
      "   5.84607696e-03  3.19705617e-02  7.43952872e-02  2.79320640e-01\n",
      "   8.44520327e-02]]\n"
     ]
    }
   ],
   "source": [
    "print(model.coef_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculating the Intercept for logistic regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2.84523264]\n"
     ]
    }
   ],
   "source": [
    "print(model.intercept_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Evaluating the Logistic Regression Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.930747567844342"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import metrics\n",
    "score=model.score(X_test,y_test)\n",
    "score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alright, the Logistic Regression model is 93% accurate which is pretty solid. Now I am going to use this model and the XGBoost model (Also 93% accurate) to give the top 25 players for the 2023-24 season in terms of their xG which ultimately evaluates how many goals they were expected to have. This essentially evaluates their number of goals they were expected to have based off their play which is a great way to evaluate a player.\n",
    "\n",
    "So, we need to load in original data and include the variables shooterName,shooterPlayerId, and shotID. We will merge our predicted xG for each shot back onto the original shotData dataframe. Then group by playerName and playerID, and then take the sum. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 1: for entire dataset, drop the na values, and then use the model to predict probability of goal and bind the prediction onto the end of the dataframe. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 117179 entries, 0 to 120297\n",
      "Data columns (total 19 columns):\n",
      " #   Column              Non-Null Count   Dtype  \n",
      "---  ------              --------------   -----  \n",
      " 0   shotID              117179 non-null  float64\n",
      " 1   shooterName         117179 non-null  object \n",
      " 2   shooterPlayerId     117179 non-null  float64\n",
      " 3   shotDistance        117179 non-null  float64\n",
      " 4   timeSinceLastEvent  117179 non-null  float64\n",
      " 5   shotType            117179 non-null  object \n",
      " 6   speedFromLastEvent  117179 non-null  float64\n",
      " 7   shotAngleAdjusted   117179 non-null  float64\n",
      " 8   shotOnEmptyNet      117179 non-null  float64\n",
      " 9   arenaAdjustedXCord  117179 non-null  float64\n",
      " 10  arenaAdjustedYCord  117179 non-null  float64\n",
      " 11  goal                117179 non-null  float64\n",
      " 12  shotType_DEFL       117179 non-null  float64\n",
      " 13  shotType_SLAP       117179 non-null  float64\n",
      " 14  shotType_SNAP       117179 non-null  float64\n",
      " 15  shotType_TIP        117179 non-null  float64\n",
      " 16  shotType_WRAP       117179 non-null  float64\n",
      " 17  shotType_WRIST      117179 non-null  float64\n",
      " 18  shotType_nan        117179 non-null  float64\n",
      "dtypes: float64(17), object(2)\n",
      "memory usage: 17.9+ MB\n"
     ]
    }
   ],
   "source": [
    "shotData.info() #Believe by looking at this all NA values are dropped. run the model on this dataframe. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below  is for Logistic Regression. xG is logistic regression, xG2 is XGBoost Model expected goals. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a variable for all the independent variables\n",
    "pred_variables= shotData[['shotDistance','timeSinceLastEvent','speedFromLastEvent','shotAngleAdjusted','shotOnEmptyNet','arenaAdjustedXCord', 'arenaAdjustedYCord','shotType_DEFL','shotType_SLAP','shotType_SNAP','shotType_TIP','shotType_WRAP','shotType_WRIST']]\n",
    "#Get the xG for every shot using the model\n",
    "xG=model.predict_proba(pred_variables)[:,1]\n",
    "#Make is a pandas column\n",
    "shotData['xG']=xG\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have the expected goals for each shot taken in the NHL. Lets take a look at the first 10 rows to make sure it looks good"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\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>shotID</th>\n",
       "      <th>shooterName</th>\n",
       "      <th>shooterPlayerId</th>\n",
       "      <th>shotDistance</th>\n",
       "      <th>timeSinceLastEvent</th>\n",
       "      <th>shotType</th>\n",
       "      <th>speedFromLastEvent</th>\n",
       "      <th>shotAngleAdjusted</th>\n",
       "      <th>shotOnEmptyNet</th>\n",
       "      <th>arenaAdjustedXCord</th>\n",
       "      <th>arenaAdjustedYCord</th>\n",
       "      <th>goal</th>\n",
       "      <th>shotType_DEFL</th>\n",
       "      <th>shotType_SLAP</th>\n",
       "      <th>shotType_SNAP</th>\n",
       "      <th>shotType_TIP</th>\n",
       "      <th>shotType_WRAP</th>\n",
       "      <th>shotType_WRIST</th>\n",
       "      <th>shotType_nan</th>\n",
       "      <th>xG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>Darren Raddysh</td>\n",
       "      <td>8478178.0</td>\n",
       "      <td>39.698866</td>\n",
       "      <td>3.0</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>18.678568</td>\n",
       "      <td>40.914383</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>-26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.029072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Brayden Point</td>\n",
       "      <td>8478010.0</td>\n",
       "      <td>11.313708</td>\n",
       "      <td>9.0</td>\n",
       "      <td>TIP</td>\n",
       "      <td>4.499657</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.131274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>Tanner Jeannot</td>\n",
       "      <td>8479661.0</td>\n",
       "      <td>45.343136</td>\n",
       "      <td>11.0</td>\n",
       "      <td>SNAP</td>\n",
       "      <td>10.948414</td>\n",
       "      <td>41.423666</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.023777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>Michael Eyssimont</td>\n",
       "      <td>8479591.0</td>\n",
       "      <td>43.139309</td>\n",
       "      <td>32.0</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>0.662913</td>\n",
       "      <td>44.060809</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>-30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.025669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>Filip Forsberg</td>\n",
       "      <td>8476887.0</td>\n",
       "      <td>42.201896</td>\n",
       "      <td>19.0</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>6.831571</td>\n",
       "      <td>53.673174</td>\n",
       "      <td>0.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.021424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Steven Stamkos</td>\n",
       "      <td>8474564.0</td>\n",
       "      <td>19.924859</td>\n",
       "      <td>29.0</td>\n",
       "      <td>SLAP</td>\n",
       "      <td>5.095287</td>\n",
       "      <td>72.474432</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.047992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6.0</td>\n",
       "      <td>Yakov Trenin</td>\n",
       "      <td>8478508.0</td>\n",
       "      <td>20.518285</td>\n",
       "      <td>2.0</td>\n",
       "      <td>SNAP</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>46.974934</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.071172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.0</td>\n",
       "      <td>Kiefer Sherwood</td>\n",
       "      <td>8480748.0</td>\n",
       "      <td>48.877398</td>\n",
       "      <td>21.0</td>\n",
       "      <td>SNAP</td>\n",
       "      <td>6.225542</td>\n",
       "      <td>30.762720</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>-25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.025271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8.0</td>\n",
       "      <td>Nicholas Paul</td>\n",
       "      <td>8477426.0</td>\n",
       "      <td>30.413813</td>\n",
       "      <td>13.0</td>\n",
       "      <td>SNAP</td>\n",
       "      <td>5.602725</td>\n",
       "      <td>27.407575</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.064054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9.0</td>\n",
       "      <td>Victor Hedman</td>\n",
       "      <td>8475167.0</td>\n",
       "      <td>63.134776</td>\n",
       "      <td>4.0</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>15.878445</td>\n",
       "      <td>29.407189</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.014464</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   shotID        shooterName  shooterPlayerId  shotDistance  \\\n",
       "0     0.0     Darren Raddysh        8478178.0     39.698866   \n",
       "1     1.0      Brayden Point        8478010.0     11.313708   \n",
       "2     2.0     Tanner Jeannot        8479661.0     45.343136   \n",
       "3     3.0  Michael Eyssimont        8479591.0     43.139309   \n",
       "4     4.0     Filip Forsberg        8476887.0     42.201896   \n",
       "5     5.0     Steven Stamkos        8474564.0     19.924859   \n",
       "6     6.0       Yakov Trenin        8478508.0     20.518285   \n",
       "7     7.0    Kiefer Sherwood        8480748.0     48.877398   \n",
       "8     8.0      Nicholas Paul        8477426.0     30.413813   \n",
       "9     9.0      Victor Hedman        8475167.0     63.134776   \n",
       "\n",
       "   timeSinceLastEvent shotType  speedFromLastEvent  shotAngleAdjusted  \\\n",
       "0                 3.0    WRIST           18.678568          40.914383   \n",
       "1                 9.0      TIP            4.499657          45.000000   \n",
       "2                11.0     SNAP           10.948414          41.423666   \n",
       "3                32.0    WRIST            0.662913          44.060809   \n",
       "4                19.0    WRIST            6.831571          53.673174   \n",
       "5                29.0     SLAP            5.095287          72.474432   \n",
       "6                 2.0     SNAP           12.500000          46.974934   \n",
       "7                21.0     SNAP            6.225542          30.762720   \n",
       "8                13.0     SNAP            5.602725          27.407575   \n",
       "9                 4.0    WRIST           15.878445          29.407189   \n",
       "\n",
       "   shotOnEmptyNet  arenaAdjustedXCord  arenaAdjustedYCord  goal  \\\n",
       "0             0.0                59.0               -26.0   0.0   \n",
       "1             0.0                81.0                 8.0   0.0   \n",
       "2             0.0                55.0                30.0   0.0   \n",
       "3             0.0                58.0               -30.0   0.0   \n",
       "4             0.0                64.0                34.0   0.0   \n",
       "5             0.0                83.0                19.0   0.0   \n",
       "6             0.0                75.0               -15.0   0.0   \n",
       "7             0.0                47.0               -25.0   0.0   \n",
       "8             0.0                62.0               -14.0   0.0   \n",
       "9             0.0                34.0                31.0   0.0   \n",
       "\n",
       "   shotType_DEFL  shotType_SLAP  shotType_SNAP  shotType_TIP  shotType_WRAP  \\\n",
       "0            0.0            0.0            0.0           0.0            0.0   \n",
       "1            0.0            0.0            0.0           1.0            0.0   \n",
       "2            0.0            0.0            1.0           0.0            0.0   \n",
       "3            0.0            0.0            0.0           0.0            0.0   \n",
       "4            0.0            0.0            0.0           0.0            0.0   \n",
       "5            0.0            1.0            0.0           0.0            0.0   \n",
       "6            0.0            0.0            1.0           0.0            0.0   \n",
       "7            0.0            0.0            1.0           0.0            0.0   \n",
       "8            0.0            0.0            1.0           0.0            0.0   \n",
       "9            0.0            0.0            0.0           0.0            0.0   \n",
       "\n",
       "   shotType_WRIST  shotType_nan        xG  \n",
       "0             1.0           0.0  0.029072  \n",
       "1             0.0           0.0  0.131274  \n",
       "2             0.0           0.0  0.023777  \n",
       "3             1.0           0.0  0.025669  \n",
       "4             1.0           0.0  0.021424  \n",
       "5             0.0           0.0  0.047992  \n",
       "6             0.0           0.0  0.071172  \n",
       "7             0.0           0.0  0.025271  \n",
       "8             0.0           0.0  0.064054  \n",
       "9             1.0           0.0  0.014464  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shotData.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Awesome! We now have the expected goals for each shot in our dataframe! Time to groupby player name and Id, and then print out the sum of their expected goals. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shooterPlayerId</th>\n",
       "      <th>shooterName</th>\n",
       "      <th>xG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>907</th>\n",
       "      <td>8475786.0</td>\n",
       "      <td>Zach Hyman</td>\n",
       "      <td>54.817165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>8479318.0</td>\n",
       "      <td>Auston Matthews</td>\n",
       "      <td>46.241661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>8477933.0</td>\n",
       "      <td>Sam Reinhart</td>\n",
       "      <td>41.476761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>8475184.0</td>\n",
       "      <td>Chris Kreider</td>\n",
       "      <td>41.238368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>8479314.0</td>\n",
       "      <td>Matthew Tkachuk</td>\n",
       "      <td>41.142971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>8477404.0</td>\n",
       "      <td>Jake Guentzel</td>\n",
       "      <td>40.525586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>8475166.0</td>\n",
       "      <td>John Tavares</td>\n",
       "      <td>39.425787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>8480801.0</td>\n",
       "      <td>Brady Tkachuk</td>\n",
       "      <td>39.374732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>8477956.0</td>\n",
       "      <td>David Pastrnak</td>\n",
       "      <td>38.337903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>8476389.0</td>\n",
       "      <td>Vincent Trocheck</td>\n",
       "      <td>37.981568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>8476887.0</td>\n",
       "      <td>Filip Forsberg</td>\n",
       "      <td>36.363692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>8477492.0</td>\n",
       "      <td>Nathan MacKinnon</td>\n",
       "      <td>36.276793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>8478420.0</td>\n",
       "      <td>Mikko Rantanen</td>\n",
       "      <td>34.997431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>8478493.0</td>\n",
       "      <td>Joel Eriksson Ek</td>\n",
       "      <td>34.570469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>8478010.0</td>\n",
       "      <td>Brayden Point</td>\n",
       "      <td>34.055536</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     shooterPlayerId       shooterName         xG\n",
       "907        8475786.0        Zach Hyman  54.817165\n",
       "77         8479318.0   Auston Matthews  46.241661\n",
       "770        8477933.0      Sam Reinhart  41.476761\n",
       "160        8475184.0     Chris Kreider  41.238368\n",
       "572        8479314.0   Matthew Tkachuk  41.142971\n",
       "345        8477404.0     Jake Guentzel  40.525586\n",
       "412        8475166.0      John Tavares  39.425787\n",
       "102        8480801.0     Brady Tkachuk  39.374732\n",
       "213        8477956.0    David Pastrnak  38.337903\n",
       "877        8476389.0  Vincent Trocheck  37.981568\n",
       "274        8476887.0    Filip Forsberg  36.363692\n",
       "621        8477492.0  Nathan MacKinnon  36.276793\n",
       "605        8478420.0    Mikko Rantanen  34.997431\n",
       "400        8478493.0  Joel Eriksson Ek  34.570469\n",
       "114        8478010.0     Brayden Point  34.055536"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result=shotData.groupby(['shooterName','shooterPlayerId'], as_index=False).sum('xG')\n",
    "result=result[['shooterPlayerId','shooterName','xG']]\n",
    "result=result.sort_values('xG', ascending=False)\n",
    "result.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "import dataframe_image as dfi\n",
    "LR_top15=result.head(15)\n",
    "dfi.export(LR_top15,'Logistic_Regression_top15.png')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now time to do the same for XGBoost, which will give expected goals the name xG2. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a variable for all the independent variables\n",
    "pred_variBoost= shotData[['shotDistance','timeSinceLastEvent','speedFromLastEvent','shotAngleAdjusted','shotOnEmptyNet','arenaAdjustedXCord', 'arenaAdjustedYCord','shotType_DEFL','shotType_SLAP','shotType_SNAP','shotType_TIP','shotType_WRAP','shotType_WRIST']]\n",
    "#Convert to a dmatrix to be able to have XGBoost make predictions on it\n",
    "dtest=xgb.DMatrix(pred_variBoost)\n",
    "#Get the xG for every shot using the model\n",
    "xG2=bst.predict(dtest)\n",
    "#Make is a pandas column\n",
    "shotData['xG2']=xG2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets look at the original shot data dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shotID</th>\n",
       "      <th>shooterName</th>\n",
       "      <th>shooterPlayerId</th>\n",
       "      <th>shotDistance</th>\n",
       "      <th>timeSinceLastEvent</th>\n",
       "      <th>shotType</th>\n",
       "      <th>speedFromLastEvent</th>\n",
       "      <th>shotAngleAdjusted</th>\n",
       "      <th>shotOnEmptyNet</th>\n",
       "      <th>arenaAdjustedXCord</th>\n",
       "      <th>...</th>\n",
       "      <th>goal</th>\n",
       "      <th>shotType_DEFL</th>\n",
       "      <th>shotType_SLAP</th>\n",
       "      <th>shotType_SNAP</th>\n",
       "      <th>shotType_TIP</th>\n",
       "      <th>shotType_WRAP</th>\n",
       "      <th>shotType_WRIST</th>\n",
       "      <th>shotType_nan</th>\n",
       "      <th>xG</th>\n",
       "      <th>xG2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>Darren Raddysh</td>\n",
       "      <td>8478178.0</td>\n",
       "      <td>39.698866</td>\n",
       "      <td>3.0</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>18.678568</td>\n",
       "      <td>40.914383</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.029072</td>\n",
       "      <td>0.024153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Brayden Point</td>\n",
       "      <td>8478010.0</td>\n",
       "      <td>11.313708</td>\n",
       "      <td>9.0</td>\n",
       "      <td>TIP</td>\n",
       "      <td>4.499657</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.131274</td>\n",
       "      <td>0.113219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>Tanner Jeannot</td>\n",
       "      <td>8479661.0</td>\n",
       "      <td>45.343136</td>\n",
       "      <td>11.0</td>\n",
       "      <td>SNAP</td>\n",
       "      <td>10.948414</td>\n",
       "      <td>41.423666</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.023777</td>\n",
       "      <td>0.014358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>Michael Eyssimont</td>\n",
       "      <td>8479591.0</td>\n",
       "      <td>43.139309</td>\n",
       "      <td>32.0</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>0.662913</td>\n",
       "      <td>44.060809</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.025669</td>\n",
       "      <td>0.019456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>Filip Forsberg</td>\n",
       "      <td>8476887.0</td>\n",
       "      <td>42.201896</td>\n",
       "      <td>19.0</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>6.831571</td>\n",
       "      <td>53.673174</td>\n",
       "      <td>0.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.021424</td>\n",
       "      <td>0.011933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Steven Stamkos</td>\n",
       "      <td>8474564.0</td>\n",
       "      <td>19.924859</td>\n",
       "      <td>29.0</td>\n",
       "      <td>SLAP</td>\n",
       "      <td>5.095287</td>\n",
       "      <td>72.474432</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.047992</td>\n",
       "      <td>0.055114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6.0</td>\n",
       "      <td>Yakov Trenin</td>\n",
       "      <td>8478508.0</td>\n",
       "      <td>20.518285</td>\n",
       "      <td>2.0</td>\n",
       "      <td>SNAP</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>46.974934</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.071172</td>\n",
       "      <td>0.110860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.0</td>\n",
       "      <td>Kiefer Sherwood</td>\n",
       "      <td>8480748.0</td>\n",
       "      <td>48.877398</td>\n",
       "      <td>21.0</td>\n",
       "      <td>SNAP</td>\n",
       "      <td>6.225542</td>\n",
       "      <td>30.762720</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.025271</td>\n",
       "      <td>0.025512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8.0</td>\n",
       "      <td>Nicholas Paul</td>\n",
       "      <td>8477426.0</td>\n",
       "      <td>30.413813</td>\n",
       "      <td>13.0</td>\n",
       "      <td>SNAP</td>\n",
       "      <td>5.602725</td>\n",
       "      <td>27.407575</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.064054</td>\n",
       "      <td>0.089770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9.0</td>\n",
       "      <td>Victor Hedman</td>\n",
       "      <td>8475167.0</td>\n",
       "      <td>63.134776</td>\n",
       "      <td>4.0</td>\n",
       "      <td>WRIST</td>\n",
       "      <td>15.878445</td>\n",
       "      <td>29.407189</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.014464</td>\n",
       "      <td>0.007413</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   shotID        shooterName  shooterPlayerId  shotDistance  \\\n",
       "0     0.0     Darren Raddysh        8478178.0     39.698866   \n",
       "1     1.0      Brayden Point        8478010.0     11.313708   \n",
       "2     2.0     Tanner Jeannot        8479661.0     45.343136   \n",
       "3     3.0  Michael Eyssimont        8479591.0     43.139309   \n",
       "4     4.0     Filip Forsberg        8476887.0     42.201896   \n",
       "5     5.0     Steven Stamkos        8474564.0     19.924859   \n",
       "6     6.0       Yakov Trenin        8478508.0     20.518285   \n",
       "7     7.0    Kiefer Sherwood        8480748.0     48.877398   \n",
       "8     8.0      Nicholas Paul        8477426.0     30.413813   \n",
       "9     9.0      Victor Hedman        8475167.0     63.134776   \n",
       "\n",
       "   timeSinceLastEvent shotType  speedFromLastEvent  shotAngleAdjusted  \\\n",
       "0                 3.0    WRIST           18.678568          40.914383   \n",
       "1                 9.0      TIP            4.499657          45.000000   \n",
       "2                11.0     SNAP           10.948414          41.423666   \n",
       "3                32.0    WRIST            0.662913          44.060809   \n",
       "4                19.0    WRIST            6.831571          53.673174   \n",
       "5                29.0     SLAP            5.095287          72.474432   \n",
       "6                 2.0     SNAP           12.500000          46.974934   \n",
       "7                21.0     SNAP            6.225542          30.762720   \n",
       "8                13.0     SNAP            5.602725          27.407575   \n",
       "9                 4.0    WRIST           15.878445          29.407189   \n",
       "\n",
       "   shotOnEmptyNet  arenaAdjustedXCord  ...  goal  shotType_DEFL  \\\n",
       "0             0.0                59.0  ...   0.0            0.0   \n",
       "1             0.0                81.0  ...   0.0            0.0   \n",
       "2             0.0                55.0  ...   0.0            0.0   \n",
       "3             0.0                58.0  ...   0.0            0.0   \n",
       "4             0.0                64.0  ...   0.0            0.0   \n",
       "5             0.0                83.0  ...   0.0            0.0   \n",
       "6             0.0                75.0  ...   0.0            0.0   \n",
       "7             0.0                47.0  ...   0.0            0.0   \n",
       "8             0.0                62.0  ...   0.0            0.0   \n",
       "9             0.0                34.0  ...   0.0            0.0   \n",
       "\n",
       "   shotType_SLAP  shotType_SNAP  shotType_TIP  shotType_WRAP  shotType_WRIST  \\\n",
       "0            0.0            0.0           0.0            0.0             1.0   \n",
       "1            0.0            0.0           1.0            0.0             0.0   \n",
       "2            0.0            1.0           0.0            0.0             0.0   \n",
       "3            0.0            0.0           0.0            0.0             1.0   \n",
       "4            0.0            0.0           0.0            0.0             1.0   \n",
       "5            1.0            0.0           0.0            0.0             0.0   \n",
       "6            0.0            1.0           0.0            0.0             0.0   \n",
       "7            0.0            1.0           0.0            0.0             0.0   \n",
       "8            0.0            1.0           0.0            0.0             0.0   \n",
       "9            0.0            0.0           0.0            0.0             1.0   \n",
       "\n",
       "   shotType_nan        xG       xG2  \n",
       "0           0.0  0.029072  0.024153  \n",
       "1           0.0  0.131274  0.113219  \n",
       "2           0.0  0.023777  0.014358  \n",
       "3           0.0  0.025669  0.019456  \n",
       "4           0.0  0.021424  0.011933  \n",
       "5           0.0  0.047992  0.055114  \n",
       "6           0.0  0.071172  0.110860  \n",
       "7           0.0  0.025271  0.025512  \n",
       "8           0.0  0.064054  0.089770  \n",
       "9           0.0  0.014464  0.007413  \n",
       "\n",
       "[10 rows x 21 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shotData.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alright, now lets group by player and get the sum of their xG2 (xG just for xGBoost model). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shooterPlayerId</th>\n",
       "      <th>shooterName</th>\n",
       "      <th>xG2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>907</th>\n",
       "      <td>8475786.0</td>\n",
       "      <td>Zach Hyman</td>\n",
       "      <td>52.062778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>8479318.0</td>\n",
       "      <td>Auston Matthews</td>\n",
       "      <td>48.731075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>8477956.0</td>\n",
       "      <td>David Pastrnak</td>\n",
       "      <td>41.950279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>8477933.0</td>\n",
       "      <td>Sam Reinhart</td>\n",
       "      <td>41.100117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>8477404.0</td>\n",
       "      <td>Jake Guentzel</td>\n",
       "      <td>41.026203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>8477492.0</td>\n",
       "      <td>Nathan MacKinnon</td>\n",
       "      <td>39.714104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>8475184.0</td>\n",
       "      <td>Chris Kreider</td>\n",
       "      <td>39.544659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>8475166.0</td>\n",
       "      <td>John Tavares</td>\n",
       "      <td>39.242653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>8479314.0</td>\n",
       "      <td>Matthew Tkachuk</td>\n",
       "      <td>38.833569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>8476389.0</td>\n",
       "      <td>Vincent Trocheck</td>\n",
       "      <td>37.872929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>8478420.0</td>\n",
       "      <td>Mikko Rantanen</td>\n",
       "      <td>37.483116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>8480801.0</td>\n",
       "      <td>Brady Tkachuk</td>\n",
       "      <td>36.625294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>8476887.0</td>\n",
       "      <td>Filip Forsberg</td>\n",
       "      <td>35.924274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>8478010.0</td>\n",
       "      <td>Brayden Point</td>\n",
       "      <td>35.036873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>8478444.0</td>\n",
       "      <td>Brock Boeser</td>\n",
       "      <td>34.268311</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     shooterPlayerId       shooterName        xG2\n",
       "907        8475786.0        Zach Hyman  52.062778\n",
       "77         8479318.0   Auston Matthews  48.731075\n",
       "213        8477956.0    David Pastrnak  41.950279\n",
       "770        8477933.0      Sam Reinhart  41.100117\n",
       "345        8477404.0     Jake Guentzel  41.026203\n",
       "621        8477492.0  Nathan MacKinnon  39.714104\n",
       "160        8475184.0     Chris Kreider  39.544659\n",
       "412        8475166.0      John Tavares  39.242653\n",
       "572        8479314.0   Matthew Tkachuk  38.833569\n",
       "877        8476389.0  Vincent Trocheck  37.872929\n",
       "605        8478420.0    Mikko Rantanen  37.483116\n",
       "102        8480801.0     Brady Tkachuk  36.625294\n",
       "274        8476887.0    Filip Forsberg  35.924274\n",
       "114        8478010.0     Brayden Point  35.036873\n",
       "132        8478444.0      Brock Boeser  34.268311"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Boost_res=shotData.groupby(['shooterName','shooterPlayerId'], as_index=False).sum('xG')\n",
    "Boost_res=Boost_res[['shooterPlayerId','shooterName','xG2']]\n",
    "Boost_res=Boost_res.sort_values('xG2', ascending=False)\n",
    "Boost_res.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "XGB_top15=Boost_res.head(15)\n",
    "dfi.export(XGB_top15,'XGBoost_top15.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Going to export the results of both the logistic regression and the XGBoost to csv's"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.to_csv(\"Logistic Regression xG.csv\")\n",
    "Boost_res.to_csv(\"XGBoost xG.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Want to plot both the logistic regression models (model) and the XGBoost model's (bst) ROC Curve to see which model is better"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve, auc\n",
    "\n",
    "dtest = xgb.DMatrix(X_test)\n",
    "# Step 1: Generate predicted probabilities for both models\n",
    "y_prob_xgb = bst.predict(dtest)  # For XGBoost, assuming 'bst' is your model\n",
    "y_prob_lr = model.predict_proba(X_test)[:, 1]  # For Logistic Regression, assuming 'logreg' is your model\n",
    "\n",
    "# Step 2: Calculate ROC curve and AUC for both models\n",
    "fpr_xgb, tpr_xgb, _ = roc_curve(y_test, y_prob_xgb)\n",
    "roc_auc_xgb = auc(fpr_xgb, tpr_xgb)\n",
    "\n",
    "fpr_lr, tpr_lr, _ = roc_curve(y_test, y_prob_lr)\n",
    "roc_auc_lr = auc(fpr_lr, tpr_lr)\n",
    "\n",
    "# Step 3: Plot the ROC curves\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(fpr_xgb, tpr_xgb, color='blue', lw=2, label=f'XGBoost (AUC = {roc_auc_xgb:.2f})')\n",
    "plt.plot(fpr_lr, tpr_lr, color='green', lw=2, label=f'Logistic Regression (AUC = {roc_auc_lr:.2f})')\n",
    "\n",
    "# Plotting the random guess line\n",
    "plt.plot([0, 1], [0, 1], color='red', linestyle='--')\n",
    "\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('ROC Curve Comparison')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()"
   ]
  }
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