Sports Data Science and Analytics

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

Work in progress sports statistics and team information web-scraping

A Toolkit for Sports Injury and Illness Data Analysis

This repository provides R scripts to connect with the Sports Data Valley (SDV) API, retrieve Fitbit and Garmin data, detect missing or incomplete heart rate time series, and create interactive visualizations for researchers.

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

A simple shiny app to compute a load-velocity model.

This script in R language processes raw data from the Monark Wingate device, MetaLyzer 3B R3 spiroergometry device, and anthropometric measurements.

An R package making it easy to extract NHL data in a tidy format

Chiffres clés Jeunesse Engagement et Sports de Bourgogne-Franche-Comté

Mental health after a free time sport accident

Visualize a sports schedule (could be your own!)

A k-means clustering analysis performed on NHL player's seasonal stats and a constrained optimization used to build an ideal roster for the Detroit Red Wing's upcoming season.

A ticket sales and game day promotional analysis across the NHL and for the Detroit Red Wings with the creation of a linear regression model to predict fan attendance.

A valuation of team and player performance for the Detroit Red Wings utilizing league-wide comparison, cash flow analyses, and constrained optimization.

Assessing team and player performance with a variety of methods including the Pythagorean Winning Percentage, linear regression, multi-statistic comparison across the league, and calculating runs above average for the SF Giants.

Calculating play-by-play win probabilities throughout NFL games using logistic regression and random forests.

R Package for Sports betting

Personal website

Attempting to determine value in the NFL Draft