系统梳理体育动作价值评估的九维框架，助力精准量化动作贡献。
Action Valuation in Sports: A Survey
- 构建涵盖数据、方法、评估等九维度的体育动作价值评估体系。
- 发现现有研究在跨项目通用性与实时评估方面存在明显空白。
- 适合体育数据分析、智能教练系统开发者参考。
动作价值评估（Action Valuation, AV）已成为体育分析中的关键议题，通过为个体动作赋予得分，揭示其对预期结果的贡献。尽管已有少量综述涉及球员估值等相近概念，但尚无全面覆盖各体育项目的AV深度分析。本文提出一个包含九个维度的分类框架，涵盖数据来源、方法论、评估技术及实际应用等方面。通过该分析，旨在识别高效AV方法的核心特征，揭示当前研究空白，并为未来发展方向提供指引。
原文摘要 · Abstract (English)
Action Valuation (AV) has emerged as a key topic in Sports Analytics, offering valuable insights by assigning scores to individual actions based on their contribution to desired outcomes. Despite a few surveys addressing related concepts such as Player Valuation, there is no comprehensive review dedicated to an in-depth analysis of AV across different sports. In this survey, we introduce a taxonomy with nine dimensions related to the AV task, encompassing data, methodological approaches, evaluation techniques, and practical applications. Through this analysis, we aim to identify the essential characteristics of effective AV methods, highlight existing gaps in research, and propose future directions for advancing the field.
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。