arXiv:2603.06585cs.HCcs.AI2026-03

跨三项球类运动的空间分析平台,助力教练精准判断跑位时机与可用空间。

Right Move, Right Time: Multi-Sport Space Evaluation Platform for Ultimate Frisbee, Basketball, and Soccer

  • 统一追踪数据格式,实现多运动空间评估标准化
  • 支持时间感知的空间分析,识别最佳无球跑动时机
  • 可跨运动复用,适合球类战术研究与训练优化

我们提出一个开源、运动无关的平台,将专业级极限飞盘、篮球和足球的追踪数据转化为可比较的空间度量。这三项运动的教练都面临同一问题:可用空间在何处,以及无球跑动应在何时启动?我们的工作流统一输入数据,提供时序感知的空间评估,使同一分析方法可在不同运动间复用。以极限飞盘为聚焦测试床,进一步验证其在篮球与足球间的迁移能力。结果表明,该方法为多种侵入性球类运动提供了可比、一致的评估路径。

原文摘要 · Abstract (English)

We present an open, sport-agnostic platform that turns tracking into comparable spatial measures across professional Ultimate, basketball, and soccer. Coaches in all three sports ask the same question: where is the usable space, and when should an off-ball run start? Our workflow standardizes inputs, provides timing-aware spatial evaluations, and makes it possible to reuse the same analysis across sports. We illustrate the approach with Ultimate as a focused testbed and then examine transfer between basketball and soccer. Together, these results show a practical path toward consistent, comparable evaluation across various invasion sports.

空间分析运动科学数据分析

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。