ERADES, AymericPeuch, L.Vuillemot, RomainSchulz, Hans-JörgVillanova, Anna2025-05-262025-05-262025978-3-03868-283-72664-4487https://doi.org/10.2312/eurova.20251104https://diglib.eg.org/handle/10.2312/eurova20251104Control areas are models designed to determine which portions of space can be reached by a moving entity. Such models have powerful applications in various domains where spatio-temporal information is key, ranging from urban analysis to sports spatial analysis. In this article, we explore the use of these models in table tennis to understand player strategies. We build upon existing models, originally designed for large-field or team sports, and adapt them to the adversarial context of table tennis-where the goal is to determine which regions a player can effectively return the ball to. In particular, we account for player reachability using a peripheral model that captures arm and racket positions. We report on an early evaluation of our model using TV broadcast videos and discuss potential improvements for our models.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing → Information visualizationHuman centered computing → Information visualization10.2312/eurova.202511046 pages