bszek213/deepCFB
Deep learning to predict college football outcomes
This helps sports enthusiasts, bettors, or analysts predict the outcomes of Division I college football games. By providing historical game data, it generates win probabilities for upcoming matches. This tool is designed for anyone interested in forecasting college football results.
No commits in the last 6 months.
Use this if you want to predict the winner of a college football game with probabilistic outputs based on historical data.
Not ideal if you need a model that accounts for 'bad' teams occasionally winning against 'top 25' teams or if you're looking for predictions beyond win probabilities.
Stars
14
Forks
3
Language
Python
License
—
Category
Last pushed
Dec 12, 2024
Commits (30d)
0
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