{
  "id": 4757562,
  "title": "HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning",
  "url": "https://urgent.news/2026/08/30/hoopmind-a-real-time-neural-game-tree-system-for-opponent-aware",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-30T05:13:53.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.29563v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "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…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}