nba-analytics

NBA sports betting using machine learning

Visualization and analysis of NBA player tracking data

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

Labelling NBA action using deep learning 🏀

Predicts Daily NBA Games Using a Logistic Regression Model

An R package to quickly obtain clean and tidy men's basketball play by play data.

Using AI to predict the outcomes of NBA games.

Tools to help developers and data scientists in sports

Stattleship R Wrapper

NBA API Documentation

Feature requests for the MySportsFeeds Sports Data API.

Python package for filling in information about players on court in NBA play-by-play data.

Short, offhand analyses of the NBA

This repository contains CSV files containing comprehensive NBA data spanning from the year 2010 to 2024, offering valuable insights into player statistics, team performances, game outcomes, and more.

Using machine learning to predict the outcome of NBA games.

R wrapper functions for the MySportsFeeds Sports Data API

NBAShotTracker is a data visualization tool to track player shot performance.

stats.nba.com library 🏀

Displaying team performance against player rotations during NBA games

NBA game prediction model