Joe Gallagher

Senior Data Scientist @Stats Perform

London, GB

Full-stack data scientist using mostly football tracking data (in-venue, broadcast) and event data to develop and productionise models and frameworks (live, post-game) for team performance, player recruitment, media, and betting applicationsOpta Vision framework for in-venue and broadcast tracking data:• frame-by-frame Expected Threat (xT), Expected Pass Completion (xP), Expected Receiver (xR), man marking, pressure intensity, cover shadow• Team Shape, Phases of Play, Player Runs framework, fitness aggregations• preprocessing (merging with event data, interpolation, smoothing, etc)Live event models:• Expected Goals (xG) 2.0, Expected Goals on Target (xGoT) 2.0• Possession Value (PV), Match Momentum• Expected Pass Completion (xP)Post-game event models:• Transfer Portal to predict player performance following a simulated transfer to another club using event data• Role Discovery• Player, Team Similarity• Power Rankings for club and international team ratings• Player Elo• Live event-based shot prediction and evaluation models for tennis and cricket• Research presented at internal and external conferences, webinars, meetings with clients• patent inventor (x8)• exceptional employee of quarter (x2)