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.

Analyze badminton matches to determine a player's strengths and weaknesses

Do "superspikes" provide a marked advantage over previous iterations of spikes?

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 to ease access to sports data

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

Visualize a sports schedule (could be your own!)

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.

Measuring MLB and AAA pitcher unpredictability in R through machine learning analysis of pitch selection

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.

Work in progress sports statistics and team information web-scraping

A deep dive into the effect of sports on a nation's happiness.

Mental health after a free time sport accident

Data Science & Machine Learning Data Capstone based on Moneyball dataset

Personal website

R package with functions related to sports competitions

Some R code that webscrapes the results of the 2018 Rotterdam marathon and visualizes it by means of a timelapse.

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

Attempting to determine value in the NFL Draft

NBA Shot Logs Analysis