Analysis of Formations and Game Styles in Soccer

An appropriate tactic will affect the situation of a soccer game, so corresponding tactical analysis is very important. The analysis of formations and the analysis of game styles are two significant aspects. In this paper, we find the most suitable method of team formation extraction and design a game style analysis network. Specifically, based on the method of minimum entropy data partitioning, we first conduct a series of experiments to identify the formations utilized by different teams and find an effective way to identify them through the comparison of experimental results. Then, we utilize the extracted formation information and a role-based passing network to design a novel team style analysis network. The experimental results show that our method has a good effect on game style analysis.