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-----\\\\nMIIEvgIBADANBgkqhkiG9w0BAQEFAASCBKgwggSkAgEAAoIBAQDhsB9x17UbxaT8\\\\nB/+2QziaZsdfeonp4ujU9v1yLLZfUS32mQGCanACklaMELrQ/KDaaJR9LW8xY7mH\\\\nKQ43I0K6wDq2OedR9HHVlP4JE1yvnJAoABMq46FVUlNF9dodyyf6Ajnnq28ahhTJ\\\\nLZcRk3KNgRVnBCxEHaUUPFZXXfxDI9Ptnvq7oHSuwNMHFbbla8Zo0x+tud1UWLOo\\\\nEbOHjdSYqEIcIdcT2DU3yVTig6C+X7aI10Nvlcq+NyXZCm/hx3JLyaEDCY3XTKAn\\\\nHao7zt5rOIp7Hf88hdeR3eQvSTgIwtzssPRkJmmGBpvBt/s/XcNvhWjwjTJ/Oq6q\\\\nr9FGTw5VAgMBAAECggEAAWDtCun8E5EFLVDzMUQp2q+ZX4OachD5G8vtHRRu122M\\\\nhVQb8UBV3NN+BIRZpSCAmbTygJfqykzHUQRhhNlfSqVqoRBWJxGs3FbOUnSJfWfM\\\\nbaIf0S7rc7T5Xepe4bhgTyOnrOWcMSJJNY1kvdkTuw+NzOpL8Zfow+iLx87YKqTQ\\\\nxpf33VUWdYwMi3ceakDcmJ32sxXs0xw2gPrmVBbz9pLBjLW68GNkMIYjk8OfN46d\\\\nSOMmzomVPhHvGma5khhyaUDV6NV6q1Ik/Ux6qjoaezqaVAmS3EiUghoxJTN7336s\\\\numouJz8sC/2PMg6vkZqEaY9mPYzsN2CeOHroV1eL5QKBgQD+iFb9ry8jpMSeAWyR\\\\nz9VUZ9sEqFKJi5rq1T87qABNVVrl4HoRdjcQPxplk9gtcdMvcXn1Vmuqb+qY4RBo\\\\nWYBLeX3ssknoBmGS78Ay6xq0J7sDz5qcrXIwQh3rQ/WpOFImy6zBcYBBdiT24uXx\\\\npWvTBqkQLJRDjZs6og/EyMLEuwKBgQDi/TY3eWVMy9hWlcGFZ+bmuFn0aIxCtYiH\\\\neXcKUWlCE7wfZhuG30iHSlM2kDHAIj0fLUDwFRQZR8qgynipbrAgZ8XznvD9w5vF\\\\nvSPv76cizcZIO3S+GBE6l4/anOi4Lhd4QbAQyHMGR43BQIWKYB/4dcU9g367KxFS\\\\ngWcJj0/QLwKBgQDB5BP4LXHIQiRwhH8y19IW+QITGzG8izcYehcwF3sbbdDPWd9C\\\\n2/14B8nQ5P2BKLsJ4fRYWlurupNHn/KCuuMLG2I8Y1f/QpUjfDS51PRDlhxU+9k4\\\\nTru0XTkzVVKWdEvIN9DCjvZ3Z0sjMpadLDjlyKYSpxLOHtnHoVpHufL8LwKBgQDC\\\\ni9euECPcgFH5U/07Q+RJFvQyYHDmtARCaL64XzJh6dww5Sjunezh17geadPaIv5T\\\\n/EtN+iLxz/BBg4eLYE0gWRD2TuGp/b9C6WsluDd9wvQQ8LSMQMBzgXdQHW/we8Ct\\\\n107583NyjF1Ypt5NzTlZkEbvBAbYkH8WQcZ4ERaNDQKBgBUczZgy5F+PLuH3O0Q3\\\\n6joILPuaBnJ0lRnEMeiq6rr91XZUyu600jHILfYIBQX23Z8j660pnbvNfjgMcqqa\\\\n7Lm99RA9lSGO1V9iW9hDU9irBKhEukpZds/hiW5e1SNn0AP+k+veEvRicDRVWSk0\\\\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", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
MoneylineOver/Under
2023_1_CIN_CLE{'Winner': 'NA', 'Probabilities': ['N/A'], 'ro...{'Over/Under': 'N/A', 'Probability': ['N/A'], ...
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" - ], - "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": { - "text/html": [ - "
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game_idGPWLW_PCTTOPFGAFGMFG_PCTPassTD...Sacks_Allowed.AwayPenalties.AwayFirstDowns.Away3rdDownConverted.Away3rdDownFailed.Away3rdDownAllowed.Away3rdDownDefended.AwayPTS.AwayPointDiff.Awaygame_date
02023_01_SF_PIT1.00.01.00.011183.00.00.0NaN1.0...3.011.021.06.07.05.010.030.023.02023-09-10
12023_01_MIA_LAC1.00.01.00.024718.02.02.01.0000001.0...0.06.029.04.05.09.06.036.02.02023-09-10
22023_01_CIN_CLE1.01.00.01.015262.03.03.01.0000001.0...2.04.06.02.013.04.010.03.0-21.02023-09-10
32023_01_GB_CHI1.00.01.00.017119.02.02.01.0000001.0...1.09.015.09.07.03.010.038.018.02023-09-10
42023_01_PHI_NE1.00.01.00.017085.00.00.0NaN3.0...3.05.017.04.09.05.010.025.05.02023-09-10
52023_01_DAL_NYG1.00.01.00.023666.02.00.00.0000000.0...0.05.018.06.07.05.011.040.040.02023-09-10
62023_01_DET_KC1.00.01.00.015329.02.02.01.0000002.0...1.04.019.05.010.05.09.021.01.02023-09-07
72023_01_ARI_WAS1.01.00.01.014896.02.02.01.0000001.0...3.09.013.04.010.04.08.016.0-4.02023-09-10
82023_01_TB_MIN1.00.01.00.019010.01.01.01.0000002.0...1.03.016.06.011.06.08.020.03.02023-09-10
92023_01_HOU_BAL1.01.00.01.015653.01.01.01.0000000.0...5.09.017.07.011.08.07.09.0-16.02023-09-10
102023_01_LA_SEA1.00.01.00.013979.03.02.00.6666671.0...0.07.027.011.06.02.07.030.017.02023-09-10
112023_01_TEN_NO1.01.00.01.014954.03.03.01.0000001.0...3.06.016.02.010.07.09.015.0-1.02023-09-10
122023_01_JAX_IND1.00.01.00.013879.00.00.0NaN1.0...2.04.020.03.09.02.010.031.010.02023-09-10
132023_01_CAR_ATL1.01.00.01.010398.01.01.01.0000001.0...2.09.020.05.09.02.08.010.0-14.02023-09-10
142023_01_LV_DEN1.00.01.00.029267.02.01.00.5000002.0...0.010.020.05.06.05.06.017.01.02023-09-10
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game_idtotalwinner
02023_01_ARI_WAS36Washington Commanders
1752023_01_CAR_ATL34Atlanta Falcons
3442023_01_CIN_CLE27Cleveland Browns
5172023_01_DAL_NYG40Dallas Cowboys
6832023_01_DET_KC41Detroit Lions
8622023_01_GB_CHI58Green Bay Packers
10422023_01_HOU_BAL34Baltimore Ravens
12272023_01_JAX_IND52Jacksonville Jaguars
14092023_01_LA_SEA43Los Angeles Rams
15862023_01_LV_DEN33Las Vegas Raiders
17442023_01_MIA_LAC70Miami Dolphins
19352023_01_PHI_NE45Philadelphia Eagles
21262023_01_SF_PIT37San Francisco 49ers
23022023_01_TB_MIN37Tampa Bay Buccaneers
24772023_01_TEN_NO31New Orleans Saints
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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" - ] - }, - { - "data": { - "text/html": [ - "
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game_idAway TeamHome TeamDatewinnertotal
02023_01_DET_KCDetroit LionsKansas City ChiefsThursday 9/7 08:20Detroit Lions41
12023_01_CIN_CLECincinnati BengalsCleveland BrownsSunday 9/10 01:00Cleveland Browns27
22023_01_JAX_INDJacksonville JaguarsIndianapolis ColtsSunday 9/10 01:00Jacksonville Jaguars52
32023_01_TB_MINTampa Bay BuccaneersMinnesota VikingsSunday 9/10 01:00Tampa Bay Buccaneers37
42023_01_TEN_NOTennessee TitansNew Orleans SaintsSunday 9/10 01:00New Orleans Saints31
52023_01_CAR_ATLCarolina PanthersAtlanta FalconsSunday 9/10 01:00Atlanta Falcons34
62023_01_HOU_BALHouston TexansBaltimore RavensSunday 9/10 01:00Baltimore Ravens34
72023_01_SF_PITSan Francisco 49ersPittsburgh SteelersSunday 9/10 01:00San Francisco 49ers37
82023_01_ARI_WASArizona CardinalsWashington CommandersSunday 9/10 01:00Washington Commanders36
92023_01_GB_CHIGreen Bay PackersChicago BearsSunday 9/10 04:25Green Bay Packers58
102023_01_MIA_LACMiami DolphinsLos Angeles ChargersSunday 9/10 04:25Miami Dolphins70
112023_01_LV_DENLas Vegas RaidersDenver BroncosSunday 9/10 04:25Las Vegas Raiders33
122023_01_PHI_NEPhiladelphia EaglesNew England PatriotsSunday 9/10 04:25Philadelphia Eagles45
132023_01_DAL_NYGDallas CowboysNew York GiantsSunday 9/10 08:20Dallas Cowboys40
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" - ], - "text/plain": [ - " 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)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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012
02023_2_ARI_WAS{'Winner': ['WAS'], 'Probabilities': [0.719565...{'Over/Under': ['Over'], 'Probability': [0.633...
12023_2_CAR_ATL{'Winner': ['ATL'], 'Probabilities': [0.596400...{'Over/Under': ['Over'], 'Probability': [0.876...
22023_2_CIN_CLE{'Winner': ['CLE'], 'Probabilities': [0.769957...{'Over/Under': ['Over'], 'Probability': [0.654...
32023_2_DAL_NYG{'Winner': ['DAL'], 'Probabilities': [0.548317...{'Over/Under': ['Over'], 'Probability': [0.653...
42023_2_DET_KC{'Winner': ['DET'], 'Probabilities': [0.518149...{'Over/Under': ['Over'], 'Probability': [0.566...
52023_2_GB_CHI{'Winner': ['GB'], 'Probabilities': [0.5585460...{'Over/Under': ['Under'], 'Probability': [0.88...
62023_2_HOU_BAL{'Winner': ['BAL'], 'Probabilities': [0.782784...{'Over/Under': ['Over'], 'Probability': [0.603...
72023_2_JAX_IND{'Winner': ['JAX'], 'Probabilities': [0.595993...{'Over/Under': ['Under'], 'Probability': [0.50...
82023_2_LA_SEA{'Winner': ['LA'], 'Probabilities': [0.5388965...{'Over/Under': ['Over'], 'Probability': [0.638...
92023_2_LV_DEN{'Winner': ['DEN'], 'Probabilities': [0.605623...{'Over/Under': ['Under'], 'Probability': [0.70...
102023_2_MIA_LAC{'Winner': ['LAC'], 'Probabilities': [0.599673...{'Over/Under': ['Over'], 'Probability': [0.522...
112023_2_PHI_NE{'Winner': ['NE'], 'Probabilities': [0.5209159...{'Over/Under': ['Over'], 'Probability': [0.537...
122023_2_SF_PIT{'Winner': ['SF'], 'Probabilities': [0.7199300...{'Over/Under': ['Under'], 'Probability': [0.60...
132023_2_TB_MIN{'Winner': ['TB'], 'Probabilities': [0.5235458...{'Over/Under': ['Over'], 'Probability': [0.543...
142023_2_TEN_NO{'Winner': ['NO'], 'Probabilities': [0.6887440...{'Over/Under': ['Over'], 'Probability': [0.742...
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" - ], - "text/plain": [ - " 0 1 \\\n", - "0 2023_2_ARI_WAS {'Winner': ['WAS'], 'Probabilities': [0.719565... \n", - "1 2023_2_CAR_ATL {'Winner': ['ATL'], 'Probabilities': [0.596400... \n", - "2 2023_2_CIN_CLE {'Winner': ['CLE'], 'Probabilities': [0.769957... \n", - "3 2023_2_DAL_NYG {'Winner': ['DAL'], 'Probabilities': [0.548317... \n", - "4 2023_2_DET_KC {'Winner': ['DET'], 'Probabilities': [0.518149... \n", - "5 2023_2_GB_CHI {'Winner': ['GB'], 'Probabilities': [0.5585460... \n", - "6 2023_2_HOU_BAL {'Winner': ['BAL'], 'Probabilities': [0.782784... \n", - "7 2023_2_JAX_IND {'Winner': ['JAX'], 'Probabilities': [0.595993... \n", - "8 2023_2_LA_SEA {'Winner': ['LA'], 'Probabilities': [0.5388965... \n", - "9 2023_2_LV_DEN {'Winner': ['DEN'], 'Probabilities': [0.605623... \n", - "10 2023_2_MIA_LAC {'Winner': ['LAC'], 'Probabilities': [0.599673... \n", - "11 2023_2_PHI_NE {'Winner': ['NE'], 'Probabilities': [0.5209159... \n", - "12 2023_2_SF_PIT {'Winner': ['SF'], 'Probabilities': [0.7199300... \n", - "13 2023_2_TB_MIN {'Winner': ['TB'], 'Probabilities': [0.5235458... \n", - "14 2023_2_TEN_NO {'Winner': ['NO'], 'Probabilities': [0.6887440... \n", - "\n", - " 2 \n", - "0 {'Over/Under': ['Over'], 'Probability': [0.633... \n", - "1 {'Over/Under': ['Over'], 'Probability': [0.876... \n", - "2 {'Over/Under': ['Over'], 'Probability': [0.654... \n", - "3 {'Over/Under': ['Over'], 'Probability': [0.653... \n", - "4 {'Over/Under': ['Over'], 'Probability': [0.566... \n", - "5 {'Over/Under': ['Under'], 'Probability': [0.88... \n", - "6 {'Over/Under': ['Over'], 'Probability': [0.603... \n", - "7 {'Over/Under': ['Under'], 'Probability': [0.50... \n", - "8 {'Over/Under': ['Over'], 'Probability': [0.638... \n", - "9 {'Over/Under': ['Under'], 'Probability': [0.70... \n", - "10 {'Over/Under': ['Over'], 'Probability': [0.522... \n", - "11 {'Over/Under': ['Over'], 'Probability': [0.537... \n", - "12 {'Over/Under': ['Under'], 'Probability': [0.60... \n", - "13 {'Over/Under': ['Over'], 'Probability': [0.543... \n", - "14 {'Over/Under': ['Over'], 'Probability': [0.742... " - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "pd.DataFrame(predictions)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.5" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -}