SOURCE-LINKED INTELLIGENCE

HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

School coaches prepare for opponents with game film and intuition. The analytics tools of professional teams stay out of reach. We ask how far public data can close this gap. Professional basketball is our case study, chosen for its data rather than the league. We fuse five public sources into one per-shot dataset of 4.23M shots over 21 seasons. The sources are shot locations, two play-by-play feeds, official matchup tracking, and player biometrics. Alignment across them is 99.5% to 100%. We also report two data pitfalls that are easy to miss. We then model a half-court possession as a sequent

Read original source ↗ Open in workspace

recordType

paper

region

Global