baseball

A python application that can gather data for games from previews as listed on baseball-reference.com with bs4.

explore.ipynb

A jupyter notebook using sklearn models to work on predicting these games. The raw folder holds raw data from games, 'train.csv' has all data from seasons not in the testing set (data21.csv). Same for the og_algo folder. Data that is recieved from algor.py.

game.py

The game class currently fetches the urls for all games on todays date and then creates a basic game object for each game that contains this:

{
    "url": "/previews/2022/CLE202209190.shtml",
    "home_team": {
        "name": "Cleveland Guardians",
        "abb": "CLE",
        "record": "79-67",
        "last_ten": "8-2",
        "pitcher": {
            "name": "Cal Quantrill",
            "era": "3.51",
            "s_IP": {
                "seven": 41.0,
                "five": 32.1
            },
            "s_ER": {
                "seven": 11.0,
                "five": 8.0
            },
            "s_ERA": 2.339261285909713
        },
        "RA/G": "3.95",
        "RS/G": "4.15"
    },
    "away_team": {
        "name": "Minnesota Twins",
        "abb": "MIN",
        "record": "73-73",
        "last_ten": "4-6",
        "pitcher": {
            "name": "Sonny Gray",
            "era": "2.83",
            "s_IP": {
                "seven": 38.2,
                "five": 25.2
            },
            "s_ER": {
                "seven": 9.0,
                "five": 8.0
            },
            "s_ERA": 2.4132492113564665
        },
        "RS/G": "4.32",
        "RA/G": "4.20"
    }
}

algor.py

First attempt at trying to predict games using the data from game.py

(['Texas Rangers', 102.99279], ['Los Angeles Angels', -134.5134])
(['Kansas City Royals', -20.48413], ['Minnesota Twins', -1.019])
(['Colorado Rockies', -50.93149], ['San Francisco Giants', 98.029])
(['Oakland Athletics', -127.87431], ['Seattle Mariners', 92.51616])
(['San Diego Padres', -3.04592], ['St. Louis Cardinals', 14.55666])
(['Pittsburgh Pirates', 3.47835], ['Chicago Cubs', 103.765])
(['Cincinnati Reds', -37.39926], ['Milwaukee Brewers', 71.53885])
(['Tampa Bay Rays', 54.691], ['Toronto Blue Jays', 38.31496])
(['Baltimore Orioles', 105.955], ['Houston Astros', 78.81206])
(['New York Yankees', 37.20105], ['Boston Red Sox', 139.12821])
(['Philadelphia Phillies', 58.65269], ['Atlanta Braves', 66.6907])
(['Chicago White Sox', 95.2095], ['Cleveland Guardians', 121.49254])
(['Los Angeles Dodgers', 182.70279], ['Arizona Diamondbacks', 184.31606])

print_all_difference

New York Yankees 112
Philadelphia Phillies 38
Oakland Athletics ND New York Mets
Miami Marlins 103
Toronto Blue Jays 56
Chicago Cubs 60
Cincinnati Reds 25
Baltimore Orioles ND Houston Astros
Cleveland Guardians 21
Chicago White Sox 77
Seattle Mariners 178
Minnesota Twins 52
Arizona Diamondbacks 31
San Diego Padres 221
Los Angeles Dodgers 41

Conclusion