AI RESEARCH
MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball
arXiv CS.LG
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ArXi:2506.04602v4 Announce Type: replace-cross The burgeoning growth of the esports and multiplayer online gaming community has highlighted the critical importance of evaluating the Most Valuable Player (MVP). The establishment of an explainable and practical MVP evaluation method is very challenging. In our study, we specifically focus on play-by-play data, which records related events during the game, such as assists and points. We aim to address the challenges by