Understanding player shooting profiles is an essential part of basketball analysis: knowing where certain opposing players like to shoot from can help coaches neutralize offensive gameplans from their opponents; understanding where their players are most comfortable can lead them to developing more effective offensive strategies. An automatic tool that can provide these performance profiles in a timely manner can become invaluable for coaches to maximize both the effectiveness of their game plan as well as the time dedicated to practice and other related activities. Additionally, basketball is dictated by many variables, such as playstyle and game dynamics, that can change the flow of the game and, by extension, player performance profiles. It is crucial that the performance profiles can reflect the diverse playstyles, as well as the fast-changing dynamics of the game. We present a tool that can visualize player performance profiles in a timely manner while taking into account factors such as play-style and game dynamics. Our approach generates interpretable heatmaps that allow us to identify and analyze how non-spatial factors, such as game dynamics or playstyle, affect player performance profiles.

翻译：理解球员投篮特征分析是篮球分析的重要组成部分：了解对方特定球员的投篮偏好区域，有助于教练破解对手的进攻战术；掌握己方球员最擅长的投篮位置，则能帮助制定更有效的进攻策略。能够及时生成这些表现特征分析的自动化工具，对教练最大化战术效率以及训练时间分配具有重要价值。此外，篮球运动受多种变量影响，如比赛风格和比赛动态，这些因素会改变比赛节奏，进而影响球员表现特征。因此，表现特征分析必须能够反映多样化的比赛风格以及快速变化的比赛动态。我们提出一种工具，可在考虑比赛风格和比赛动态等因素的同时，及时可视化球员表现特征。该方法生成可解释的热力图，使我们能够识别并分析非空间因素（如比赛动态或比赛风格）如何影响球员表现特征。