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Authors: Fábio Silva 1 ; Pedro Passos 2 and Octavian Postolache 1

Affiliations: 1 ISCTE-Instituto Universitário de Lisboa, Portugal ; 2 Faculdade de Motricidade Humana and Universidade de Lisboa, Portugal

Keyword(s): Football, Performance Analysis, Collective Behavior, Interpersonal Distances.

Related Ontology Subjects/Areas/Topics: Computer Systems in Sports ; Sport Science Research and Technology ; Sport Statistics and Analyses

Abstract: The aim of the article was to present a Java Platform for Football Analysis, designed and implemented for football game analysis. The framework presents capability on game analysis based on players coordinates inputs and helping coaches and players to extract information from processed games. The analysis tools to achieve this aim used collective metrics based on player’s positioning on the three team sectors: defensive; middle and; offensive. This allows analyzed player’s collective behaviors before critical situations (e.g., shot on goal). Data revealed that a decrease on interpersonal distances between the defensive sector and the offensive sector affords an opportunity to score.

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Paper citation in several formats:
Silva, F.; Passos, P. and Postolache, O. (2015). JFA Platform for Football Analysis. In Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support (icSPORTS 2015) - PerSoccer; ISBN 978-989-758-159-5; ISSN 2184-3201, SciTePress, pages 345-351. DOI: 10.5220/0005611103450351

@conference{persoccer15,
author={Fábio Silva. and Pedro Passos. and Octavian Postolache.},
title={JFA Platform for Football Analysis},
booktitle={Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support (icSPORTS 2015) - PerSoccer},
year={2015},
pages={345-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005611103450351},
isbn={978-989-758-159-5},
issn={2184-3201},
}

TY - CONF

JO - Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support (icSPORTS 2015) - PerSoccer
TI - JFA Platform for Football Analysis
SN - 978-989-758-159-5
IS - 2184-3201
AU - Silva, F.
AU - Passos, P.
AU - Postolache, O.
PY - 2015
SP - 345
EP - 351
DO - 10.5220/0005611103450351
PB - SciTePress

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