An R package for working with NCAA Basketball Play-by-Play Data

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

sportsdataverse python package

All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.

Retrieves sports data from a popular sports website as well as from the NCAA website, with support for NBA, WNBA, NFL, NHL, College Football and mens and womens college basketball,

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

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

An R package for working with NCAA Men's Basketball play-by-play data from STATS LLC's GameZone.

Extensive and Tidy NCAA Men's College Basketball Data

System for selecting optimal march madness brackets

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

College Basketball web scraper that pulls predicted scores from Kenpom HaslaMetrics and BartTorvik as well as betting lines from Fanduel using Selenium

🏀 CLI tool for live College Basketball scores

Predicting College Basketball Games with Machine Learning

Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.

Predicting 2018 March Madness Basketball games

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

College Basketball predictor

Competition-winning Rebound Prediction Notebook

Simple script for making a March Madness bracket using smart but random coins