ddayto21/NBA-Time-Series-Forecasts

This repository leverages machine learning models to predict the outcomes of NBA regular season games and their final scores. By analyzing historical game data, advanced metrics, and team performance trends, the project delivers data-driven insights into game results and scoring patterns

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Experimental

This project helps basketball enthusiasts, sports bettors, and analysts predict the outcomes and final scores of NBA regular season games. It takes historical game data, team statistics, and player performance metrics as input, and outputs predictions for game winners and total scores. This is for anyone looking for data-driven insights into NBA matchups.

No commits in the last 6 months.

Use this if you want to apply machine learning to historical NBA data to forecast game results and final scores.

Not ideal if you're looking for real-time betting advice or predictions based on live game events, as this focuses on pre-game analysis.

NBA-forecasting sports-analytics game-prediction basketball-statistics sports-betting
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 14 / 25

How are scores calculated?

Stars

15

Forks

3

Language

Python

License

Last pushed

Jan 21, 2025

Commits (30d)

0

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