luke-lite/NBA-Prediction-Modeling

Using machine learning to predict the outcome of NBA games.

25
/ 100
Experimental

This project helps sports enthusiasts, fantasy league organizers, or sports news websites predict NBA game outcomes. It takes historical NBA boxscore statistics from the past 10 seasons as input and outputs predictions for game winners. The primary users are individuals or organizations who want a reliable benchmark for NBA game predictions.

No commits in the last 6 months.

Use this if you need a baseline machine learning or algorithmic model for predicting NBA game winners based on team performance statistics.

Not ideal if you require highly responsive predictions that account for real-time player injuries, trades, or detailed individual player statistics.

NBA-betting fantasy-basketball sports-analytics game-prediction sports-journalism
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 9 / 25

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46

Forks

4

Language

Jupyter Notebook

License

Last pushed

Aug 16, 2024

Commits (30d)

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