Towards data-based assessment of individual tactics skills in team sports based on Fuzzy Petri Nets
|Titel||Towards data-based assessment of individual tactics skills in team sports based on Fuzzy Petri Nets|
|Buchtitel||Abstract volume of the 8th Vienna International Conference on Mathematical Modelling - MATHMOD 2015|
|Serie||Argesim Report No. 44|
The problem of objectively assessing activity patterns of individual players in team sports in terms of tactics skills is addressed by employing concepts from fuzzy logics and state-transition graph models. Mackenzie & Cushion (2013) conclude in their critical review about current performance analysis (PA) research that variables are often investigated as a result of availability rather than to develop a deeper understanding of performance. Therefore, PA studies often fail to provide useful information for the coaching practice due to the multifaceted, complex and largely unpredictable behaviour in team sports like football. In the author’s opinion holistic approaches are needed that include more naturalistic and qualitative methods such as case studies, interviews and mixed methods. The overall goal is to develop a data-based approach based on position and tracking data provided by local positioning measurement systems (see, e.g., LBO11,MC13, OLH+12]) that allows to qualify assessments based on measurements.