A Flexible Approach to Football Analytics: Assessment, Modeling and Implementation

Authors
Philipp Seidenschwarz, Martin Rumo, Lukas Probst, and Heiko Schuldt
Type
In Proceedings
Date
2019/7
Appears in
Proceedings of the 12th International Symposium on Computer Science in Sport
Location
Moscow, Russia
Pages
55-56
Abstract

Quantitative analysis in football is difficult due to the complexity and continuous fluidity of the game. Even though there is an increased accessibility of spatio-temporal data, scienti fic approaches to extract valuable information are seldomly useful in practice. We propose a new approach to building an information system for football. This approach consists of a method to extract football-specifi c concepts from interviews, to formalize them in a performance model, and to de fine and implement the data structures and algorithms in StreamTeam, a framework for the detection of complex (team) events. In this paper we present this approach in detail and provide an example for its use.