SkillCorner Open Data with 10 matches of broadcast tracking data.

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

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 ⚽️🏈

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.

Stattleship R Wrapper

Feature requests for the MySportsFeeds Sports Data API.

Repository for rugby data analytics

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

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

Python NHL API Wrapper 🏒🥅

Analytics dashboard for football match intelligence. Features pitch control models, sprint efficiency algorithms, tactical event sequencing, and interactive visualizations. SkillCorner X PySport Analytics Cup submission.

Application for generating college football score and win probability predictions using neural networks

Neural network that predicts the number of wins for a baseball team based on the importance of different statistical categories and their influence on a team's success.

Machine Learning Predictor for NBA games that takes into account player stats, team stats.

An R package to ease access to sports data

Python class for scraping WNBA player data

Code for the article "Adjusting for Scorekeeper Bias in NBA Box Scores" published in DMKD and presented at Sloan.

Soccer Logo Plots in 'ggplot2'