edoc

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

Seidenschwarz, Philipp and Rumo, Martin and Probst, Lukas and Schuldt, Heiko. (2019) A Flexible Approach to Football Analytics: Assessment, Modeling and Implementation. In: Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019). Cham, pp. 19-27.

Full text not available from this repository.

Official URL: https://edoc.unibas.ch/73837/

Downloads: Statistics Overview

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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Seidenschwarz, Philipp German and Probst, Lukas
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
ISBN:978-3-030-35047-5
e-ISBN:978-3-030-35048-2
Series Name:Advances in Intelligent Systems and Computing
Issue Number:1028
Note:Publication type according to Uni Basel Research Database: Conference paper
Related URLs:
Identification Number:
Last Modified:11 Mar 2020 08:44
Deposited On:11 Mar 2020 08:44

Repository Staff Only: item control page