I’m a data scientist and AI/ML engineer with 10+ years of experience across research, innovation and production systems. Professionally, I work on applying machine learning and AI to real-world problems at scale; outside of that, I bring the same technical skillset to football analytics.
My football analytics work spans event and tracking data, xG, xThreat, EPV, off-ball movement, simulation and decision-support tools, using datasets from providers including StatsBomb and SkillCorner. I’ve taken part in multiple football analytics hackathons and was recently selected as a Pitch to the Pros 3 finalist.
I’m looking to connect and collaborate with others in the football analytics space, particularly through consultancy, research partnerships or applied projects with clubs, data providers and practitioners. I’m most interested in work that turns technical modeling into practical football insight and real-world impact.
I was selected as one of four finalists for Training Ground Guru’s Pitch to the Pros 3, where I presented a tracking-data framework for adding decision-window context to pass value.
The work combines SkillCorner passing options, xThreat, event data and tracking-derived playability to ask whether high-value pass options were actually open, constrained, or already gone by the time the player made the decision.
