An API Client package to access the APIs for NBA.com
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Updated
Apr 12, 2024 - Python
An API Client package to access the APIs for NBA.com
🏀 An application to build an NBA database backed by MySQL, Postgres, or SQLite
A simple yet comprehensive web scraper for kenpom.com.
Historical RAPTOR and other NBA data.
A machine learning project to predict NCAA Men's Basketball outcomes
Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
stats.nba.com library 🏀
Extensive and Tidy NCAA Men's College Basketball Data
Displaying team performance against player rotations during NBA games
Python package for filling in information about players on court in NBA play-by-play data.
Python API for stats.nba.com
Player advanced stats and Elo ratings for WNBA history
A quick and dirty way to pull various cuts of data from the incredible NCAA Basketball advanced stats website KenPom
The WeBall Statistics application is a league statistics application for basketball, which was created as part of the course "Apps development for Mobile Devices" (University of Macedonia - Applied Informatics, academic year 2021-2022, 6th semester)
The WeBall Statistics application is a league statistics application for basketball, which was created as part of the course "Apps development for Mobile Devices" (University of Macedonia - Applied Informatics, academic year 2021-2022, 6th semester)
Machine Learning Predictor for NBA games that takes into account player stats, team stats.
To quickly and efficiently load Australian basketball statistics from the NBL
An easy-to-use Python utility to scrape basketball data off stats.nba.com.
A Mobile App with: 1) An easy & fast to use live-game management system 2) A user side to watch live games, team & player stats and a lot more. Also a Web App to choose your teams and create your own league. The given league is fictional but the teams, names etc. are from teams & players who are part of the Greek Basket League which is run by HEBA.
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