CVApr 8, 2025

Action Valuation in Sports: A Survey

arXiv:2504.06163v11 citationsh-index: 522025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Originality Synthesis-oriented
AI Analysis

It addresses the need for a dedicated survey in sports analytics to guide researchers and practitioners, but it is incremental as it builds on existing related surveys.

This survey tackles the lack of a comprehensive review on Action Valuation in sports by introducing a taxonomy with nine dimensions to analyze data, methods, evaluation, and applications, aiming to identify effective characteristics and highlight research gaps.

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.

Foundations

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