ABSTRACT

Beginning in the early 1990s, a number of tracking systems for team sports have been developed (Santiago et al., 2010). To record the player trajectories, these systems usually rely on either video footage from the games, which is processed using software tools, or on sensors which are attached to the players. The collected data need to be post-processed to be usable by players, coaches, or others interested in team or player performance. In this article we will use data recorded by the Sports Performance Analyzer's (SPA) tracking system (Wilhelm et al., 2010) and illustrate its methods for performance analysis, varying from low level statistical trajectory analysis to higher level play recognition and matching.