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Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019)
Place of Conference
Moscow, Russia
Publisher
Springer
Place of Publication
Cham
Pages
19-27
ISSN/ISBN
978-3-030-35047-5 ; 978-3-030-35048-2
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, scientific 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-specific concepts from interviews, to formalize them in a performance model, and to define 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.
