An R package to quickly obtain clean and tidy men's basketball play by play data.
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Updated
Aug 27, 2026 - R
An R package to quickly obtain clean and tidy men's basketball play by play data.
A simple yet comprehensive web scraper for kenpom.com.
All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.
An R package to quickly obtain clean and tidy women's basketball play by play data.
A Python-based web scraper for NCAA basketball.
System for selecting optimal march madness brackets
College Basketball web scraper that pulls predicted scores from Kenpom HaslaMetrics and BartTorvik as well as betting lines from Fanduel using Selenium
Scrapes scores for any season of college basketball.
ncaa basketball team level data with tourney outcomes
An R package for gathering men's NCAA basketball data.
Use this python3.5 project to scrape all NCAA mens basketball boxscores from an inputted day and save to csv
🏀 Men and women solutions for the 2019 edition of the Kaggle March Madness competition
NCAA web3 Athlete Profile(s)§§§
Self-improving NCAA basketball predictor - auto-fetches ESPN data, trains 6 models, eliminates data leakage, and runs a full analytics dashboard. No API key needed.
Silver Medal Solution
Machine learning application for NCAA basketball game predictions
Tournament Pool and Bracket Tracker
End-to-end Python ETL pipeline that collects NCAA men's basketball rankings from multiple sources, standardizes team names, and deploys a live dashboard via GitHub Pages.
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