Abstract
In recent years, studies using football data have proliferated. Most existing studies focus on the results of matches. In contrast, few studies have considered each event that is recorded successively during the matches. Therefore, in this paper, we characterize and compare football clubs by considering such information. We characterize the ball's movement among players or different field areas into important event such as shoot and track the ball's attack patterns. These important events are collectively defined as attack patterns. We analyze the attack patterns using social network analysis and build digraphs comprising players or areas in order to characterize and compare clubs.
