Events like passes or shots play an important role for the interpretation of complex invasion games like soccer, handball, hockey, or basketball. Over the last years, three fundamental perspectives emerged with regard to the analysis of sports games, which all value different characteristics of the respective sports. Somewhat overstated: The... [Read More]

Tracking technology (position data) has many applications in soccer and other sports domains. However, a detailed analysis in soccer also requires event data (such as shots or passes). In this work, we have empirically shown that this event data is often temporally imprecise. To counteract this issue and allow for... [Read More]

Automated handball formation recognition is a key aspect of tactical game analysis based on big data. The following described method offers for the first time the possibility to quantitatively evaluate tactical, sport-specific expert knowledge and to derive evidence-based performance indicators. Tactical considerations arise from sport-specific expert knowledge, but so far... [Read More]

Univ.-Prof. Dr. Daniel Memmert, managing director of the Institute of Training Science and Sports Informatics at the German Sport University Cologne and his team have been working for years on the analysis (e.g. with SOCCER©) and simulation of complex position data (so-called Big Data) and have developed and validated theoretical... [Read More]

The Institute for Exercise Training and Sports Informatics and the L3S Research Center at the Leibniz University Hannover have successfully aquired a project funding from the German Federal Ministry of Education and Research (BMBF). The MM4Sports project is a transfer project in the field of sports data analysis, using data... [Read More]