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#

ncaa

Here are 52 public repositories matching this topic...

Home Assistant integration that provides real-time scores in multiple professional (NBA, NFL, NHL, MLB, MLS, and more), college (NCAA), and international (soccer, golf, tennis, mma, racing) sports using ESPN APIs.

  • UpdatedMar 13, 2025
  • Python

Free API to retrieve live scores, stats, standings, and other college sports data from ncaa.com

  • UpdatedJan 16, 2025
  • TypeScript
hoopR

An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.

  • UpdatedJan 7, 2024
  • Jupyter Notebook
wehoop

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

  • UpdatedJul 21, 2024
  • R

A Python-based web scraper for NCAA basketball.

  • UpdatedJan 20, 2025
  • Python

Game simulator created for NCAA basketball (Based on team possession statistics)

  • UpdatedApr 25, 2022
  • R

Using Machine Learning and Neural Nets to predict NCAA basketball point spreads.

  • UpdatedMar 12, 2020
  • HTML

Scrapes scores for any season of college basketball.

  • UpdatedFeb 6, 2021
  • R
cbb

🏀 CLI tool for live College Basketball scores

  • UpdatedJun 24, 2022
  • JavaScript

ELO logistic regression results NCAA March Madness 2017!

  • UpdatedApr 3, 2017
  • Python

NodeJS script for collecting data on NCAA Hockey

  • UpdatedApr 2, 2017
  • JavaScript

A package for analyzing NCAA march madness tournament data

  • UpdatedMar 13, 2023
  • Jupyter Notebook

An R package for gathering men's NCAA basketball data.

  • UpdatedMar 15, 2022
  • R

Scraper to pull spreads and scores for NCAA college football games

  • UpdatedSep 12, 2017
  • HTML

NCAA Bracket Creation Based on FiveThirtyEight Probabilities

  • UpdatedMar 15, 2021
  • Java

Excel and MATLAB files to analyse the team colors of the NCAA

  • UpdatedJan 9, 2021
  • MATLAB

An attempt to build a naive (ie non-team-specific) win probability model for NCAA college basketball games

  • UpdatedMar 28, 2017
  • R

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