diff --git "a/Notebook.ipynb" "b/Notebook.ipynb"
deleted file mode 100644--- "a/Notebook.ipynb"
+++ /dev/null
@@ -1,1532 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "import pickle as pkl\n",
- "\n",
- "predictions_this_year = {}\n",
- "\n",
- "with open('Source/Data/predictions_this_year.pkl', 'wb') as f:\n",
- " pkl.dump(predictions_this_year, f)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 22,
- "metadata": {},
- "outputs": [],
- "source": [
- "key = '{\"type\": \"service_account\",\"project_id\": \"bmllc-398613\",\"private_key_id\": \"dae9f17eb79aee559b936bd88406ea399f729d9e\",\"private_key\": \"-----BEGIN PRIVATE KEY-----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\\n7dS4tXLQR9w31YhZ5ONBNTQ9\\n-----END PRIVATE KEY-----\\n\",\"client_email\": \"huggingface@bmllc-398613.iam.gserviceaccount.com\",\"client_id\": \"103296969416633370732\", \"auth_uri\": \"https://accounts.google.com/o/oauth2/auth\",\"token_uri\": \"https://oauth2.googleapis.com/token\",\"auth_provider_x509_cert_url\": \"https://www.googleapis.com/oauth2/v1/certs\",\"client_x509_cert_url\": \"https://www.googleapis.com/robot/v1/metadata/x509/huggingface%40bmllc-398613.iam.gserviceaccount.com\", \"universe_domain\": \"googleapis.com\"}'.replace('\\n','\\\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 31,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'{\"type\":\"service_account\",\"project_id\":\"bmllc-398613\",\"private_key_id\":\"dae9f17eb79aee559b936bd88406ea399f729d9e\",\"private_key\":\"-----BEGIN PRIVATE KEY-----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\\\\n7dS4tXLQR9w31YhZ5ONBNTQ9\\\\n-----END PRIVATE KEY-----\\\\n\",\"client_email\":\"huggingface@bmllc-398613.iam.gserviceaccount.com\",\"client_id\":\"103296969416633370732\",\"auth_uri\":\"https://accounts.google.com/o/oauth2/auth\",\"token_uri\":\"https://oauth2.googleapis.com/token\",\"auth_provider_x509_cert_url\":\"https://www.googleapis.com/oauth2/v1/certs\",\"client_x509_cert_url\":\"https://www.googleapis.com/robot/v1/metadata/x509/huggingface%40bmllc-398613.iam.gserviceaccount.com\",\"universe_domain\":\"googleapis.com\"}'"
- ]
- },
- "execution_count": 31,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import json\n",
- "\n",
- "your_json = {\n",
- " \"type\": \"service_account\",\n",
- " \"project_id\": \"bmllc-398613\",\n",
- " \"private_key_id\": \"dae9f17eb79aee559b936bd88406ea399f729d9e\",\n",
- " \"private_key\": \"-----BEGIN PRIVATE KEY-----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\\n7dS4tXLQR9w31YhZ5ONBNTQ9\\n-----END PRIVATE KEY-----\\n\",\n",
- " \"client_email\": \"huggingface@bmllc-398613.iam.gserviceaccount.com\",\n",
- " \"client_id\": \"103296969416633370732\",\n",
- " \"auth_uri\": \"https://accounts.google.com/o/oauth2/auth\",\n",
- " \"token_uri\": \"https://oauth2.googleapis.com/token\",\n",
- " \"auth_provider_x509_cert_url\": \"https://www.googleapis.com/oauth2/v1/certs\",\n",
- " \"client_x509_cert_url\": \"https://www.googleapis.com/robot/v1/metadata/x509/huggingface%40bmllc-398613.iam.gserviceaccount.com\",\n",
- " \"universe_domain\": \"googleapis.com\"\n",
- "}\n",
- "\n",
- "one_line_json = json.dumps(your_json, separators=(',', ':')).replace(\"\\n\", \"\\\\n\")\n",
- "one_line_json"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 35,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "{'2023_1_CIN_CLE': {'Moneyline': {'Winner': 'NA',\n",
- " 'Probabilities': ['N/A'],\n",
- " 'rowIndex': 1},\n",
- " 'Over/Under': {'Over/Under': 'N/A', 'Probability': ['N/A'], 'rowIndex': 1}}}"
- ]
- },
- "execution_count": 35,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import json\n",
- "from google.cloud import storage\n",
- "\n",
- "# authenticate gcp\n",
- "gcp_sa_key = json.loads(key)\n",
- "client = storage.Client.from_service_account_info(gcp_sa_key)\n",
- "bucket = client.get_bucket('bmllc-marci-data-bucket')\n",
- "\n",
- "# download\n",
- "blob = bucket.blob('predictions_this_year.pkl')\n",
- "buffer = blob.download_as_bytes()\n",
- "predictions_this_year = pickle.loads(buffer)\n",
- "\n",
- "predictions_this_year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 37,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "
\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " Moneyline | \n",
- " Over/Under | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " 2023_1_CIN_CLE | \n",
- " {'Winner': 'NA', 'Probabilities': ['N/A'], 'ro... | \n",
- " {'Over/Under': 'N/A', 'Probability': ['N/A'], ... | \n",
- "
\n",
- " \n",
- "
\n",
- "
"
- ],
- "text/plain": [
- " Moneyline \\\n",
- "2023_1_CIN_CLE {'Winner': 'NA', 'Probabilities': ['N/A'], 'ro... \n",
- "\n",
- " Over/Under \n",
- "2023_1_CIN_CLE {'Over/Under': 'N/A', 'Probability': ['N/A'], ... "
- ]
- },
- "execution_count": 37,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import pandas as pd\n",
- "pd.DataFrame(predictions_this_year).T"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 34,
- "metadata": {},
- "outputs": [],
- "source": [
- "predictions_this_year = {}\n",
- "buffer = pkl.dumps(predictions_this_year)\n",
- "blob.upload_from_string(buffer, content_type='application/octet-stream')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "service_account_id = 'service-950327177777@gs-project-accounts.iam.gserviceaccount.com'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.6666666666666666"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "gpt_picks = ['Kansas City Chiefs',\n",
- " 'Atlanta Falcons',\n",
- " 'Baltimore Ravens',\n",
- " 'Cleveland Browns',\n",
- " 'Indianapolis Colts',\n",
- " 'Tampa Bay Buccaneers',\n",
- " 'New Orleans Saints',\n",
- " 'San Francisco 49ers',\n",
- " 'Washington Commanders',\n",
- " 'Green Bay Packers',\n",
- " 'Las Vegas Raiders',\n",
- " 'Los Angeles Chargers',\n",
- " 'New England Patriots',\n",
- " 'Seattle Seahawks',\n",
- " 'Dallas Cowboys']\n",
- "\n",
- "correct = [0,\n",
- " 1,\n",
- " 1,\n",
- " 1,\n",
- " 0,\n",
- " 1,\n",
- " 1,\n",
- " 1,\n",
- " 1,\n",
- " 1,\n",
- " 1,\n",
- " 0,\n",
- " 0,\n",
- " 0,\n",
- " 1]\n",
- "\n",
- "sum(correct)/len(correct)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " TOP | \n",
- " FGA | \n",
- " FGM | \n",
- " FG_PCT | \n",
- " PassTD | \n",
- " ... | \n",
- " Sacks_Allowed.Away | \n",
- " Penalties.Away | \n",
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\n",
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- " 0 | \n",
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- " 11183.0 | \n",
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- " \n",
- " 1 | \n",
- " 2023_01_MIA_LAC | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 24718.0 | \n",
- " 2.0 | \n",
- " 2.0 | \n",
- " 1.000000 | \n",
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- " 2.0 | \n",
- " 2023-09-10 | \n",
- "
\n",
- " \n",
- " 2 | \n",
- " 2023_01_CIN_CLE | \n",
- " 1.0 | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 1.0 | \n",
- " 15262.0 | \n",
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- " -21.0 | \n",
- " 2023-09-10 | \n",
- "
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- " \n",
- " 3 | \n",
- " 2023_01_GB_CHI | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 17119.0 | \n",
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- " 1.0 | \n",
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- " 2023-09-10 | \n",
- "
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- " \n",
- " 4 | \n",
- " 2023_01_PHI_NE | \n",
- " 1.0 | \n",
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- " 1.0 | \n",
- " 0.0 | \n",
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\n",
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\n",
- " \n",
- " 6 | \n",
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- " 1.0 | \n",
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\n",
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\n",
- " \n",
- " 10 | \n",
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- " 30.0 | \n",
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\n",
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- " 11 | \n",
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- " 1.0 | \n",
- " 14954.0 | \n",
- " 3.0 | \n",
- " 3.0 | \n",
- " 1.000000 | \n",
- " 1.0 | \n",
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- " 15.0 | \n",
- " -1.0 | \n",
- " 2023-09-10 | \n",
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\n",
- " \n",
- " 12 | \n",
- " 2023_01_JAX_IND | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 13879.0 | \n",
- " 0.0 | \n",
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- " NaN | \n",
- " 1.0 | \n",
- " ... | \n",
- " 2.0 | \n",
- " 4.0 | \n",
- " 20.0 | \n",
- " 3.0 | \n",
- " 9.0 | \n",
- " 2.0 | \n",
- " 10.0 | \n",
- " 31.0 | \n",
- " 10.0 | \n",
- " 2023-09-10 | \n",
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\n",
- " \n",
- " 13 | \n",
- " 2023_01_CAR_ATL | \n",
- " 1.0 | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 1.0 | \n",
- " 10398.0 | \n",
- " 1.0 | \n",
- " 1.0 | \n",
- " 1.000000 | \n",
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- " ... | \n",
- " 2.0 | \n",
- " 9.0 | \n",
- " 20.0 | \n",
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- " 9.0 | \n",
- " 2.0 | \n",
- " 8.0 | \n",
- " 10.0 | \n",
- " -14.0 | \n",
- " 2023-09-10 | \n",
- "
\n",
- " \n",
- " 14 | \n",
- " 2023_01_LV_DEN | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 1.0 | \n",
- " 0.0 | \n",
- " 29267.0 | \n",
- " 2.0 | \n",
- " 1.0 | \n",
- " 0.500000 | \n",
- " 2.0 | \n",
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- " 10.0 | \n",
- " 20.0 | \n",
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- " 6.0 | \n",
- " 5.0 | \n",
- " 6.0 | \n",
- " 17.0 | \n",
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- "
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15 rows × 65 columns
\n",
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"
- ],
- "text/plain": [
- " game_id GP W L W_PCT TOP FGA FGM FG_PCT \\\n",
- "0 2023_01_SF_PIT 1.0 0.0 1.0 0.0 11183.0 0.0 0.0 NaN \n",
- "1 2023_01_MIA_LAC 1.0 0.0 1.0 0.0 24718.0 2.0 2.0 1.000000 \n",
- "2 2023_01_CIN_CLE 1.0 1.0 0.0 1.0 15262.0 3.0 3.0 1.000000 \n",
- "3 2023_01_GB_CHI 1.0 0.0 1.0 0.0 17119.0 2.0 2.0 1.000000 \n",
- "4 2023_01_PHI_NE 1.0 0.0 1.0 0.0 17085.0 0.0 0.0 NaN \n",
- "5 2023_01_DAL_NYG 1.0 0.0 1.0 0.0 23666.0 2.0 0.0 0.000000 \n",
- "6 2023_01_DET_KC 1.0 0.0 1.0 0.0 15329.0 2.0 2.0 1.000000 \n",
- "7 2023_01_ARI_WAS 1.0 1.0 0.0 1.0 14896.0 2.0 2.0 1.000000 \n",
- "8 2023_01_TB_MIN 1.0 0.0 1.0 0.0 19010.0 1.0 1.0 1.000000 \n",
- "9 2023_01_HOU_BAL 1.0 1.0 0.0 1.0 15653.0 1.0 1.0 1.000000 \n",
- "10 2023_01_LA_SEA 1.0 0.0 1.0 0.0 13979.0 3.0 2.0 0.666667 \n",
- "11 2023_01_TEN_NO 1.0 1.0 0.0 1.0 14954.0 3.0 3.0 1.000000 \n",
- "12 2023_01_JAX_IND 1.0 0.0 1.0 0.0 13879.0 0.0 0.0 NaN \n",
- "13 2023_01_CAR_ATL 1.0 1.0 0.0 1.0 10398.0 1.0 1.0 1.000000 \n",
- "14 2023_01_LV_DEN 1.0 0.0 1.0 0.0 29267.0 2.0 1.0 0.500000 \n",
- "\n",
- " PassTD ... Sacks_Allowed.Away Penalties.Away FirstDowns.Away \\\n",
- "0 1.0 ... 3.0 11.0 21.0 \n",
- "1 1.0 ... 0.0 6.0 29.0 \n",
- "2 1.0 ... 2.0 4.0 6.0 \n",
- "3 1.0 ... 1.0 9.0 15.0 \n",
- "4 3.0 ... 3.0 5.0 17.0 \n",
- "5 0.0 ... 0.0 5.0 18.0 \n",
- "6 2.0 ... 1.0 4.0 19.0 \n",
- "7 1.0 ... 3.0 9.0 13.0 \n",
- "8 2.0 ... 1.0 3.0 16.0 \n",
- "9 0.0 ... 5.0 9.0 17.0 \n",
- "10 1.0 ... 0.0 7.0 27.0 \n",
- "11 1.0 ... 3.0 6.0 16.0 \n",
- "12 1.0 ... 2.0 4.0 20.0 \n",
- "13 1.0 ... 2.0 9.0 20.0 \n",
- "14 2.0 ... 0.0 10.0 20.0 \n",
- "\n",
- " 3rdDownConverted.Away 3rdDownFailed.Away 3rdDownAllowed.Away \\\n",
- "0 6.0 7.0 5.0 \n",
- "1 4.0 5.0 9.0 \n",
- "2 2.0 13.0 4.0 \n",
- "3 9.0 7.0 3.0 \n",
- "4 4.0 9.0 5.0 \n",
- "5 6.0 7.0 5.0 \n",
- "6 5.0 10.0 5.0 \n",
- "7 4.0 10.0 4.0 \n",
- "8 6.0 11.0 6.0 \n",
- "9 7.0 11.0 8.0 \n",
- "10 11.0 6.0 2.0 \n",
- "11 2.0 10.0 7.0 \n",
- "12 3.0 9.0 2.0 \n",
- "13 5.0 9.0 2.0 \n",
- "14 5.0 6.0 5.0 \n",
- "\n",
- " 3rdDownDefended.Away PTS.Away PointDiff.Away game_date \n",
- "0 10.0 30.0 23.0 2023-09-10 \n",
- "1 6.0 36.0 2.0 2023-09-10 \n",
- "2 10.0 3.0 -21.0 2023-09-10 \n",
- "3 10.0 38.0 18.0 2023-09-10 \n",
- "4 10.0 25.0 5.0 2023-09-10 \n",
- "5 11.0 40.0 40.0 2023-09-10 \n",
- "6 9.0 21.0 1.0 2023-09-07 \n",
- "7 8.0 16.0 -4.0 2023-09-10 \n",
- "8 8.0 20.0 3.0 2023-09-10 \n",
- "9 7.0 9.0 -16.0 2023-09-10 \n",
- "10 7.0 30.0 17.0 2023-09-10 \n",
- "11 9.0 15.0 -1.0 2023-09-10 \n",
- "12 10.0 31.0 10.0 2023-09-10 \n",
- "13 8.0 10.0 -14.0 2023-09-10 \n",
- "14 6.0 17.0 1.0 2023-09-10 \n",
- "\n",
- "[15 rows x 65 columns]"
- ]
- },
- "execution_count": 15,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import pandas as pd\n",
- "scores = pd.read_csv('Source/Data/gbg_this_year.csv')\n",
- "scores"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {},
- "outputs": [],
- "source": [
- "import requests\n",
- "\n",
- "headers = {\n",
- "'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',\n",
- "'Accept-Encoding': 'gzip, deflate',\n",
- "'Accept-Language': 'en-US,en;q=0.9',\n",
- "'Cache-Control': 'max-age=0',\n",
- "'Connection': 'keep-alive',\n",
- "'Dnt': '1',\n",
- "'Upgrade-Insecure-Requests': '1',\n",
- "'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36'\n",
- "}\n",
- "\n",
- "url = 'https://www.bettingpros.com/nfl/matchups/'\n",
- "resp = requests.get(url, headers=headers)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "BettingPros\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "
\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- "\n",
- ""
- ]
- },
- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "from bs4 import BeautifulSoup\n",
- "soup = BeautifulSoup(resp.text, 'html.parser')\n",
- "soup"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [
- {
- "ename": "ModuleNotFoundError",
- "evalue": "No module named 'nfl_data_py'",
- "output_type": "error",
- "traceback": [
- "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
- "\u001b[1;32mc:\\Users\\Brayden\\OneDrive - stern.nyu.edu\\Brayden Moore LLC\\Python\\Projects\\MARCI 3.0\\MARCI-NFL-Betting\\Notebook.ipynb Cell 12\u001b[0m line \u001b[0;36m1\n\u001b[1;32m----> 1\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mSource\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mBuild\u001b[39;00m \u001b[39mimport\u001b[39;00m build\n\u001b[0;32m 3\u001b[0m pbp \u001b[39m=\u001b[39m build\u001b[39m.\u001b[39mget_pbp_data([\u001b[39m2023\u001b[39m])\n\u001b[0;32m 4\u001b[0m pbp \u001b[39m=\u001b[39m pbp\u001b[39m.\u001b[39mdrop_duplicates(subset\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mgame_id\u001b[39m\u001b[39m'\u001b[39m)\n",
- "File \u001b[1;32mc:\\Users\\Brayden\\OneDrive - stern.nyu.edu\\Brayden Moore LLC\\Python\\Projects\\MARCI 3.0\\MARCI-NFL-Betting\\Source\\Build\\build.py:1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mnfl_data_py\u001b[39;00m \u001b[39mimport\u001b[39;00m nfl_data_py \u001b[39mas\u001b[39;00m nfl\n\u001b[0;32m 2\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtqdm\u001b[39;00m \u001b[39mimport\u001b[39;00m tqdm\n\u001b[0;32m 3\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mnumpy\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mnp\u001b[39;00m\n",
- "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'nfl_data_py'"
- ]
- }
- ],
- "source": [
- "from Source.Build import build\n",
- "\n",
- "pbp = build.get_pbp_data([2023])\n",
- "pbp = pbp.drop_duplicates(subset='game_id')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "data": {
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\n",
- " \n",
- " \n",
- " | \n",
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- " total | \n",
- " winner | \n",
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- " 2023_01_ARI_WAS | \n",
- " 36 | \n",
- " Washington Commanders | \n",
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\n",
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- " 175 | \n",
- " 2023_01_CAR_ATL | \n",
- " 34 | \n",
- " Atlanta Falcons | \n",
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\n",
- " \n",
- " 344 | \n",
- " 2023_01_CIN_CLE | \n",
- " 27 | \n",
- " Cleveland Browns | \n",
- "
\n",
- " \n",
- " 517 | \n",
- " 2023_01_DAL_NYG | \n",
- " 40 | \n",
- " Dallas Cowboys | \n",
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\n",
- " \n",
- " 683 | \n",
- " 2023_01_DET_KC | \n",
- " 41 | \n",
- " Detroit Lions | \n",
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\n",
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- " 862 | \n",
- " 2023_01_GB_CHI | \n",
- " 58 | \n",
- " Green Bay Packers | \n",
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\n",
- " \n",
- " 1042 | \n",
- " 2023_01_HOU_BAL | \n",
- " 34 | \n",
- " Baltimore Ravens | \n",
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\n",
- " \n",
- " 1227 | \n",
- " 2023_01_JAX_IND | \n",
- " 52 | \n",
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\n",
- " \n",
- " 1744 | \n",
- " 2023_01_MIA_LAC | \n",
- " 70 | \n",
- " Miami Dolphins | \n",
- "
\n",
- " \n",
- " 1935 | \n",
- " 2023_01_PHI_NE | \n",
- " 45 | \n",
- " Philadelphia Eagles | \n",
- "
\n",
- " \n",
- " 2126 | \n",
- " 2023_01_SF_PIT | \n",
- " 37 | \n",
- " San Francisco 49ers | \n",
- "
\n",
- " \n",
- " 2302 | \n",
- " 2023_01_TB_MIN | \n",
- " 37 | \n",
- " Tampa Bay Buccaneers | \n",
- "
\n",
- " \n",
- " 2477 | \n",
- " 2023_01_TEN_NO | \n",
- " 31 | \n",
- " New Orleans Saints | \n",
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\n",
- " \n",
- "
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- ],
- "text/plain": [
- " game_id total winner\n",
- "0 2023_01_ARI_WAS 36 Washington Commanders\n",
- "175 2023_01_CAR_ATL 34 Atlanta Falcons\n",
- "344 2023_01_CIN_CLE 27 Cleveland Browns\n",
- "517 2023_01_DAL_NYG 40 Dallas Cowboys\n",
- "683 2023_01_DET_KC 41 Detroit Lions\n",
- "862 2023_01_GB_CHI 58 Green Bay Packers\n",
- "1042 2023_01_HOU_BAL 34 Baltimore Ravens\n",
- "1227 2023_01_JAX_IND 52 Jacksonville Jaguars\n",
- "1409 2023_01_LA_SEA 43 Los Angeles Rams\n",
- "1586 2023_01_LV_DEN 33 Las Vegas Raiders\n",
- "1744 2023_01_MIA_LAC 70 Miami Dolphins\n",
- "1935 2023_01_PHI_NE 45 Philadelphia Eagles\n",
- "2126 2023_01_SF_PIT 37 San Francisco 49ers\n",
- "2302 2023_01_TB_MIN 37 Tampa Bay Buccaneers\n",
- "2477 2023_01_TEN_NO 31 New Orleans Saints"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import os\n",
- "import pickle as pkl\n",
- "\n",
- "# get team abbreviations\n",
- "file_path = 'Source/Pickles/team_name_to_abbreviation.pkl'\n",
- "with open(file_path, 'rb') as f:\n",
- " team_name_to_abbreviation = pkl.load(f)\n",
- "\n",
- "file_path = 'Source/Pickles/team_abbreviation_to_name.pkl'\n",
- "with open(file_path, 'rb') as f:\n",
- " team_abbreviation_to_name = pkl.load(f)\n",
- "\n",
- "pbp[['season','week','away','home']] = pbp['game_id'].str.split('_', expand=True)\n",
- "games = pbp[['game_id','away_score','home_score','season','week','away','home']]\n",
- "games[['away_score','home_score','season','week']] = games[['away_score','home_score','season','week']].astype(int)\n",
- "\n",
- "games['away_team'] = games['away'].map(team_abbreviation_to_name)\n",
- "games['home_team'] = games['home'].map(team_abbreviation_to_name)\n",
- "\n",
- "games['total'] = games['away_score'] + games['home_score']\n",
- "games['winner'] = [a if a_s>h_s else h if h_s>a_s else 'Tie' for a,h,a_s,h_s in games[['away_team','home_team','away_score','home_score']].values]\n",
- "results = games[['game_id','total','winner']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [
- {
- "ename": "NameError",
- "evalue": "name 'games' is not defined",
- "output_type": "error",
- "traceback": [
- "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
- "\u001b[1;32mc:\\Users\\Brayden\\OneDrive - stern.nyu.edu\\Brayden Moore LLC\\Python\\Projects\\MARCI 3.0\\MARCI-NFL-Betting\\Notebook.ipynb Cell 14\u001b[0m line \u001b[0;36m1\n\u001b[1;32m----> 1\u001b[0m results \u001b[39m=\u001b[39m games[[\u001b[39m'\u001b[39m\u001b[39mgame_id\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39mtotal\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39mwinner\u001b[39m\u001b[39m'\u001b[39m]]\n",
- "\u001b[1;31mNameError\u001b[0m: name 'games' is not defined"
- ]
- }
- ],
- "source": [
- "results = games[['game_id','total','winner']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "C:\\Users\\Brayden\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\dateutil\\parser\\_parser.py:1207: UnknownTimezoneWarning: tzname EST identified but not understood. Pass `tzinfos` argument in order to correctly return a timezone-aware datetime. In a future version, this will raise an exception.\n",
- " warnings.warn(\"tzname {tzname} identified but not understood. \"\n"
- ]
- },
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- " game_id Away Team Home Team \\\n",
- "0 2023_01_DET_KC Detroit Lions Kansas City Chiefs \n",
- "1 2023_01_CIN_CLE Cincinnati Bengals Cleveland Browns \n",
- "2 2023_01_JAX_IND Jacksonville Jaguars Indianapolis Colts \n",
- "3 2023_01_TB_MIN Tampa Bay Buccaneers Minnesota Vikings \n",
- "4 2023_01_TEN_NO Tennessee Titans New Orleans Saints \n",
- "5 2023_01_CAR_ATL Carolina Panthers Atlanta Falcons \n",
- "6 2023_01_HOU_BAL Houston Texans Baltimore Ravens \n",
- "7 2023_01_SF_PIT San Francisco 49ers Pittsburgh Steelers \n",
- "8 2023_01_ARI_WAS Arizona Cardinals Washington Commanders \n",
- "9 2023_01_GB_CHI Green Bay Packers Chicago Bears \n",
- "10 2023_01_MIA_LAC Miami Dolphins Los Angeles Chargers \n",
- "11 2023_01_LV_DEN Las Vegas Raiders Denver Broncos \n",
- "12 2023_01_PHI_NE Philadelphia Eagles New England Patriots \n",
- "13 2023_01_DAL_NYG Dallas Cowboys New York Giants \n",
- "\n",
- " Date winner total \n",
- "0 Thursday 9/7 08:20 Detroit Lions 41 \n",
- "1 Sunday 9/10 01:00 Cleveland Browns 27 \n",
- "2 Sunday 9/10 01:00 Jacksonville Jaguars 52 \n",
- "3 Sunday 9/10 01:00 Tampa Bay Buccaneers 37 \n",
- "4 Sunday 9/10 01:00 New Orleans Saints 31 \n",
- "5 Sunday 9/10 01:00 Atlanta Falcons 34 \n",
- "6 Sunday 9/10 01:00 Baltimore Ravens 34 \n",
- "7 Sunday 9/10 01:00 San Francisco 49ers 37 \n",
- "8 Sunday 9/10 01:00 Washington Commanders 36 \n",
- "9 Sunday 9/10 04:25 Green Bay Packers 58 \n",
- "10 Sunday 9/10 04:25 Miami Dolphins 70 \n",
- "11 Sunday 9/10 04:25 Las Vegas Raiders 33 \n",
- "12 Sunday 9/10 04:25 Philadelphia Eagles 45 \n",
- "13 Sunday 9/10 08:20 Dallas Cowboys 40 "
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "from Source.Predict import predict\n",
- "\n",
- "predict.get_games(week=1,season=2023)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "from Source.Predict import predict\n",
- "predictions = []\n",
- "for _,row in games.iterrows():\n",
- " prediction = predict.predict(row['home'],row['away'],row['season'],row['week']+1, 45)\n",
- " predictions.append(prediction)"
- ]
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- " {'Winner': ['CLE'], 'Probabilities': [0.769957... | \n",
- " {'Over/Under': ['Over'], 'Probability': [0.654... | \n",
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- " {'Winner': ['BAL'], 'Probabilities': [0.782784... | \n",
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- " 2023_2_LV_DEN | \n",
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- " {'Over/Under': ['Under'], 'Probability': [0.70... | \n",
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- " {'Winner': ['LAC'], 'Probabilities': [0.599673... | \n",
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\n",
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- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import pandas as pd\n",
- "pd.DataFrame(predictions)"
- ]
- }
- ],
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- "display_name": "Python 3",
- "language": "python",
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