Welcome to the field of sports informatics and sports game research

In the field of sports informatics and sports game research, topics such as big data, AI, ML, and digitalization in sports (particularly professional soccer) are explored, with a focus on modeling, pattern recognition, and the simulation of team sports. In addition to developments in data analysis and data visualization, this also includes the application of modern database systems (relational and NoSQL). 

Our expertise lies at the intersection of kinesiology, sports informatics, and sports psychology. Our partners include organizations from the business sector and elite sports.

Various technical tools (including positional data analysis with SOCCER©, tracking data with Kinexon©, SoccerBot360, mobile eye trackers) enables the exploration of relevant questions in sports informatics, kinesiology, and sports psychology within individual sports—primarily through experimental methods. Of particular research interest are novel game analysis methods in competitive sports (position data, virtual reality, augmented reality), the handling of big data (including pattern recognition, classification), research on motivation and attention, the promotion of creativity and performance in youth elite sports (cross-sport ball skills training, snow skills training, adventure movement), as well as sport-specific sports psychology diagnostics and intervention (memory, attention, perception).

Overall, the projects aim not only to expand theoretical foundational knowledge in the aforementioned research areas (DFG), but can also be characterized as application-oriented (BMBF, DFL; BISp) and thus compatible with service provision.