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

Date Issued
2019-01-01
Author(s)
Seidenschwarz, Philipp  
Rumo, Martin
Probst, Lukas  
Schuldt, Heiko  
DOI
10.1007/978-3-030-35048-2_3
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.
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