Abstract
In recent years, geometric features of formations such as players' dominant regions and their adjacency have been frequently computed and utilized for team sports' analysis. Such geometric features of formations have also been successfully applied to real game data in many team sports. In this paper, we propose a novel quantification method of pass plays by combining multiple geometric features of formations from two viewpoints: (i) effectiveness of leading to a shoot, and (ii) risk of being robbed a ball. The proposed method extracts many feature values including passers' and receivers' geometric feature values and then constructs quantification models from the two viewpoints based on statistical classification methods using the extracted feature values. Thus, the proposed method enables users to effectively understand pass plays and tactics used through visualization tools of players and ball position data. For validation, this method is applied to real players' position data during a soccer game.
Published Version
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