https://github.com/benryan03/Baseball-Simulator
A command-line baseball simulator in Python. Choose two MLB teams from any year with historically accurate rosters, and watch them go head to head! Players unique stats are taken into account during each pitcher-batter matchup.
https://github.com/benryan03/Baseball-Simulator
Last synced: 5 months ago
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A command-line baseball simulator in Python. Choose two MLB teams from any year with historically accurate rosters, and watch them go head to head! Players unique stats are taken into account during each pitcher-batter matchup.
- Host: GitHub
- URL: https://github.com/benryan03/Baseball-Simulator
- Owner: benryan03
- Created: 2019-05-02T20:27:12.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-10-18T23:44:40.000Z (over 4 years ago)
- Last Synced: 2024-08-13T07:08:20.570Z (8 months ago)
- Language: Python
- Homepage:
- Size: 273 KB
- Stars: 32
- Watchers: 2
- Forks: 10
- Open Issues: 3
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Metadata Files:
- Readme: readme.txt
Awesome Lists containing this project
- jimsghstars - benryan03/Baseball-Simulator - A command-line baseball simulator in Python. Choose two MLB teams from any year with historically accurate rosters, and watch them go head to head! Players unique stats are taken into account during e (Python)
README
Baseball Simulator is a Python command-line program that simulates a complete
baseball game.Game demo: https://youtu.be/YLm9Nl_hyu4
The user is prompted to choose any two MLB teams, and the year for each team.
The program then scrapes player data from baseball-reference.com.The program attempts to be as accurate as possible to real-world outcomes.
Data from the following sources was used to refine the algorithms that
determine results:https://www.baseball-reference.com/leagues/MLB/bat.shtml
https://www.baseball-fever.com/forum/general-baseball/statistics-analysis-sabermetrics/81427-pitch-outcome-distribution-over-25-years
https://www.baseballprospectus.com/news/article/8936/prospectus-idol-entry-grounding-home-run-hitters/For each at-bat, the program takes into account the batter's batting average,
the pitcher's earned run average, and the pitcher's pitch count to determine
whether the batter or pitcher has an edge, and how big of an edge. A player
with an edge over the other will be more likely to have a positive result for
each pitch, and that likelihood increases with larger edge percentages.At the end of each game, the program will output a box score, and give the
user the option to save the box score to a .txt file.