Packages

• Co-maintain {worldfootballR}, an R package for extracting world football (soccer) data from several sites. I work mostly with the Fotmob functions. (Removed as of August 2023.)
• Contributed functions for scraping data from ESPN to {ffscrapr}, an R API client for several fantasy football league platforms.
• Wrote {valorantr}, an R package for pro Valorant data from rib.gg. (Archived due to API changes)

Projects

• Sports analytics visualization gallery
  • A collection of visualizations (mostly soccer) that I’ve posted on social media.
• “Bundesliga tax” analysis
  • Cited in The Athletic, Tifo Football, ESPN, Grace Robertson, and more
• 2021 Big Data Bowl (Big Data Bowl) team submission (finalist)
  • “Weighted Assessment of Defender Affectiveness (WADE)”: A framework for quantifying NFL defensive back coverage and contest skills
• 2022 Carnegie Melon Sports Analytics Conference (CMSAC) paper
  • “The Hot Hand Fallacy in Call of Duty Search and Destroy”
• {xengagement}
  • An R package, Twitter bot, and python Dash app for predicting, visualizing, and summarizing the amount of Twitter engagement that xGPhilosophy receives with its end-of-match xG summary tweets
• NBA win probability
  • Code for calculating NBA win probability and discussion (8-hour interview project)