Active Support Index (ASI)
metrics
tracking-data
events-data
football
Quantifying off-ball movement during pressure situations
Dec 31, 2025
Football Analytics
I bring 10+ years of professional data science and machine learning experience to football analytics, backed by a Stanford AI Graduate Program and a Master’s in Data Science from UC San Diego. At CrowdStrike, I build production ML systems, AI agents, and large-scale data pipelines — skills that translate directly to working with tracking data, event data, and advanced football metrics.
My current research focuses on off-ball movement quantification. The Active Support Index (ASI) uses SkillCorner tracking data and Opta events data to measure how effectively players support teammates under pressure — a dimension of play that’s critical to team performance but difficult to capture with traditional metrics.
I’m also interested in simulation environments for tactical analysis, agent-based modeling for player decision-making, and applying modern ML techniques (embeddings, graph neural networks, transformers) to match event sequences.
I’m open to collaborations, consulting opportunities, and conversations with clubs, analytics companies, and fellow researchers. Feel free to reach out via LinkedIn or X/Twitter.
