Football player dominant region determined by a novel model based on instantaneous kinematics variables

Abstract Dominant regions are defined as regions of the pitch where a player can reach before any other and are commonly determined without considering the free-spaces in the pitch. We presented an approach to football players’ dominant regions analysis, based on movement models created from players...

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Autores principales:	Fabio Giuliano Caetano, Sylvio Barbon Junior, Ricardo da Silva Torres, Sergio Augusto Cunha, Paulo Régis Caron Ruffino, Luiz Eduardo Barreto Martins, Felipe Arruda Moura
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/da298dad05f4405c961e8a3d30e49e51
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spelling	oai:doaj.org-article:da298dad05f4405c961e8a3d30e49e512021-12-02T15:16:05ZFootball player dominant region determined by a novel model based on instantaneous kinematics variables10.1038/s41598-021-97537-42045-2322https://doaj.org/article/da298dad05f4405c961e8a3d30e49e512021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97537-4https://doaj.org/toc/2045-2322Abstract Dominant regions are defined as regions of the pitch where a player can reach before any other and are commonly determined without considering the free-spaces in the pitch. We presented an approach to football players’ dominant regions analysis, based on movement models created from players’ positions, displacement, velocity, and acceleration vectors. 109 Brazilian male professional football players were analysed during official matches, computing over 15 million positional data obtained by video-based tracking system. Movement models were created based on players’ instantaneous vectorial kinematics variables, then probabilities models and dominant regions were determined. Accuracy in determining dominant regions by the proposed model was tested for different time-lag windows. We calculated the areas of dominant, free-spaces, and Voronoi regions. Mean correct predictions of dominant region were 96.56%, 88.64%, and 72.31% for one, two, and three seconds, respectively. Dominant regions areas were lower than the ones computed by Voronoi, with median values of 73 and 171 m2, respectively. A median value of 5537 m2 was presented for free-space regions, representing a large part of the pitch. The proposed movement model proved to be more realistic, representing the match dynamics and can be a useful method to evaluate the players’ tactical behaviours during matches.Fabio Giuliano CaetanoSylvio Barbon JuniorRicardo da Silva TorresSergio Augusto CunhaPaulo Régis Caron RuffinoLuiz Eduardo Barreto MartinsFelipe Arruda MouraNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Fabio Giuliano Caetano Sylvio Barbon Junior Ricardo da Silva Torres Sergio Augusto Cunha Paulo Régis Caron Ruffino Luiz Eduardo Barreto Martins Felipe Arruda Moura Football player dominant region determined by a novel model based on instantaneous kinematics variables
description	Abstract Dominant regions are defined as regions of the pitch where a player can reach before any other and are commonly determined without considering the free-spaces in the pitch. We presented an approach to football players’ dominant regions analysis, based on movement models created from players’ positions, displacement, velocity, and acceleration vectors. 109 Brazilian male professional football players were analysed during official matches, computing over 15 million positional data obtained by video-based tracking system. Movement models were created based on players’ instantaneous vectorial kinematics variables, then probabilities models and dominant regions were determined. Accuracy in determining dominant regions by the proposed model was tested for different time-lag windows. We calculated the areas of dominant, free-spaces, and Voronoi regions. Mean correct predictions of dominant region were 96.56%, 88.64%, and 72.31% for one, two, and three seconds, respectively. Dominant regions areas were lower than the ones computed by Voronoi, with median values of 73 and 171 m2, respectively. A median value of 5537 m2 was presented for free-space regions, representing a large part of the pitch. The proposed movement model proved to be more realistic, representing the match dynamics and can be a useful method to evaluate the players’ tactical behaviours during matches.
format	article
author	Fabio Giuliano Caetano Sylvio Barbon Junior Ricardo da Silva Torres Sergio Augusto Cunha Paulo Régis Caron Ruffino Luiz Eduardo Barreto Martins Felipe Arruda Moura
author_facet	Fabio Giuliano Caetano Sylvio Barbon Junior Ricardo da Silva Torres Sergio Augusto Cunha Paulo Régis Caron Ruffino Luiz Eduardo Barreto Martins Felipe Arruda Moura
author_sort	Fabio Giuliano Caetano
title	Football player dominant region determined by a novel model based on instantaneous kinematics variables
title_short	Football player dominant region determined by a novel model based on instantaneous kinematics variables
title_full	Football player dominant region determined by a novel model based on instantaneous kinematics variables
title_fullStr	Football player dominant region determined by a novel model based on instantaneous kinematics variables
title_full_unstemmed	Football player dominant region determined by a novel model based on instantaneous kinematics variables
title_sort	football player dominant region determined by a novel model based on instantaneous kinematics variables
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/da298dad05f4405c961e8a3d30e49e51
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Football player dominant region determined by a novel model based on instantaneous kinematics variables

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