alfremedpal/PandasBasketball

A Python module to scrape data from basketbal-reference.com and convert it to pandas data structures for analysis.

47
/ 100
Emerging

This project helps basketball analysts and enthusiasts gather detailed player and team statistics from basketball-reference.com. It takes player names or team abbreviations as input and provides structured data tables, such as per-game stats, advanced metrics, or game logs, as ready-to-use data frames for further analysis. Sports statisticians, fantasy basketball managers, and sports journalists would find this useful.

No commits in the last 6 months. Available on PyPI.

Use this if you need to quickly pull specific, organized basketball statistics for players or teams directly into a data analysis environment.

Not ideal if you need statistics for every table on a player's page, full team season stats, or game results by specific dates, as these features are not yet fully implemented.

basketball-analytics sports-statistics fantasy-sports player-performance team-performance
Stale 6m
Maintenance 0 / 25
Adoption 6 / 25
Maturity 25 / 25
Community 16 / 25

How are scores calculated?

Stars

24

Forks

7

Language

Python

License

MIT

Category

scraper

Last pushed

Apr 29, 2023

Commits (30d)

0

Dependencies

3

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