Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

SkillCorner Open Data with 10 matches of broadcast tracking data.

Repository which contains various scripts and work with various basketball statistics

An Implementation of the ANT+ Network on top of ant-arduino

A Tennis dataset and models for event detection & commentary generation

An R package to quickly obtain clean and tidy college football play by play data

Sport stats UI components

Kaggle Competition for Predicting NCAA Basketball Tourney Games

Python wrapper for the Sportradar APIs ⚽️🏈

Stattleship R Wrapper

Feature requests for the MySportsFeeds Sports Data API.

Based on NFL game data, we want to predict the success of a play. This can be used to insert different strategies before the play is called to determine the success probability.

A scraping and aggregating package using the CollegeFootballData API

An unofficial Python API wrapper for firstcycling.com

R wrapper functions for the MySportsFeeds Sports Data API

A set of functions to visualize National Football League analysis in 'ggplot2'

Stattleship API Ruby client

A college football recruiting package

Complete football/soccer datalake with 93000+ players from Transfermarkt. Includes player profiles, performance statistics, market values, transfer histories, injury records, national team data, and teammate relationships.

The project explores the idea of using different machine learning techniques to determine different stats in NHL games.