NBA_Betting and deepshot

NBA_Betting
52
Established
deepshot
50
Established
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 16/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 14/25
Stars: 193
Forks: 25
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 138
Forks: 16
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
No Package No Dependents

About NBA_Betting

NBA-Betting/NBA_Betting

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

This project helps basketball enthusiasts and sports bettors predict NBA game outcomes, specifically point spreads. It takes in various NBA statistics and historical betting market data to generate insights for profitable betting decisions. Anyone interested in using data analytics to inform their NBA wagers would find this useful.

NBA betting sports analytics game prediction point spread sports investment

About deepshot

saccofrancesco/deepshot

AI model predicting NBA game outcomes using advanced stats and trends

This tool helps NBA fans and sports bettors predict the outcomes of basketball games. It takes historical data and advanced team statistics as input and generates game predictions with visual insights into key team differences. Anyone looking to make informed predictions for upcoming NBA matchups would find this useful.

NBA-betting sports-analytics basketball-prediction game-forecasting sports-statistics

Related comparisons

NBA_Betting and nba-prediction NBA_Betting and sports-betting-ai NBA_Betting and nba-sports-betting-ml NBA_Betting and Sports-Betting-ML-Tools-NBA NBA_Betting and Sports-Betting-ML-Tools-NBA

Scores updated daily from GitHub, PyPI, and npm data. How scores work