Measuring the pitch control of professional football players using spatiotemporal tracking data

We study pitch control in football, using data from six complete seasons of the English Premier League. Our objective is to investigate features of pitch control in the data. We process the data to ensure consistency of the tracking and event datasets. This represents the largest coherent dataset an...

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Detalhes bibliográficos
Autores: Higgins, Lewis, Galla, Tobias, Prestidge, Brian, Wyatt, Terry
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/351840
Acesso em linha:http://hdl.handle.net/10261/351840
https://api.elsevier.com/content/abstract/scopus_id/85158827563
Access Level:Acceso aberto
Palavra-chave:Spatiotemporal tracking
Association football
Classical machine learning
Home advantage
Pitch control
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spelling Measuring the pitch control of professional football players using spatiotemporal tracking dataHiggins, LewisGalla, TobiasPrestidge, BrianWyatt, TerrySpatiotemporal trackingAssociation footballClassical machine learningHome advantagePitch controlWe study pitch control in football, using data from six complete seasons of the English Premier League. Our objective is to investigate features of pitch control in the data. We process the data to ensure consistency of the tracking and event datasets. This represents the largest coherent dataset analysed in the literature and allows the observation of consistent patterns across several seasons’ data. We demonstrate that teams playing in front of a crowd at home control on average 2.9 ± 0.2 % more of the pitch than teams playing away, which reduces to 1.5 ± 0.6 % in matches played behind closed doors. We observe that match by match the difference in pitch control between the teams has a weak, positive correlation with the difference in expected goals (Pearson correlation R = 0.38). As a further manifestation of home advantage we find that in games which the two teams have equal pitch control, on average the home team accumulates greater expected goals ( 0.16 ± 0.03 ). The concept of weighted pitch control is introduced, by assigning a weight to regions of the pitch. We demonstrate that pitch control of the penalty box of the out-of-possession team is negatively correlated with expected goals in each of the six seasons, and interpret this apparently counter-intuitive result.L H thanks the Engineering and Physical Sciences Research Council for a studentship (Grant Number EP/R513131/1). L H thanks City Football Group for their financial contribution to an Engineering and Physical Sciences Research Council CASE studentship. Partial financial support has been received from the Agencia Estatal de Investigación (AEI, MCI, Spain) and Fondo Europeo de Desarrollo Regional (FEDER, UE) under Project PACSS (RTI2018-093732-B-C21/C22), and the María de Maeztu Program for units of Excellence in R&D, Grant MDM-2017-0711 funded by MCIN/AEI/10.13039/501100011033.Peer reviewedIOP PublishingEngineering and Physical Sciences Research Council (UK)Agencia Estatal de Investigación (España)Ministerio de Ciencia e Innovación (España)European CommissionHiggins, Lewis [0000-0002-0429-4793]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/351840https://api.elsevier.com/content/abstract/scopus_id/85158827563reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093732-B-C21info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093732-B-C22info:eu-repo/grantAgreement/AEI//MDM-2017-0711https://doi.org/10.1088/2632-072X/acb67dSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3518402026-05-22T06:33:51Z
dc.title.none.fl_str_mv Measuring the pitch control of professional football players using spatiotemporal tracking data
title Measuring the pitch control of professional football players using spatiotemporal tracking data
spellingShingle Measuring the pitch control of professional football players using spatiotemporal tracking data
Higgins, Lewis
Spatiotemporal tracking
Association football
Classical machine learning
Home advantage
Pitch control
title_short Measuring the pitch control of professional football players using spatiotemporal tracking data
title_full Measuring the pitch control of professional football players using spatiotemporal tracking data
title_fullStr Measuring the pitch control of professional football players using spatiotemporal tracking data
title_full_unstemmed Measuring the pitch control of professional football players using spatiotemporal tracking data
title_sort Measuring the pitch control of professional football players using spatiotemporal tracking data
dc.creator.none.fl_str_mv Higgins, Lewis
Galla, Tobias
Prestidge, Brian
Wyatt, Terry
author Higgins, Lewis
author_facet Higgins, Lewis
Galla, Tobias
Prestidge, Brian
Wyatt, Terry
author_role author
author2 Galla, Tobias
Prestidge, Brian
Wyatt, Terry
author2_role author
author
author
dc.contributor.none.fl_str_mv Engineering and Physical Sciences Research Council (UK)
Agencia Estatal de Investigación (España)
Ministerio de Ciencia e Innovación (España)
European Commission
Higgins, Lewis [0000-0002-0429-4793]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Spatiotemporal tracking
Association football
Classical machine learning
Home advantage
Pitch control
topic Spatiotemporal tracking
Association football
Classical machine learning
Home advantage
Pitch control
description We study pitch control in football, using data from six complete seasons of the English Premier League. Our objective is to investigate features of pitch control in the data. We process the data to ensure consistency of the tracking and event datasets. This represents the largest coherent dataset analysed in the literature and allows the observation of consistent patterns across several seasons’ data. We demonstrate that teams playing in front of a crowd at home control on average 2.9 ± 0.2 % more of the pitch than teams playing away, which reduces to 1.5 ± 0.6 % in matches played behind closed doors. We observe that match by match the difference in pitch control between the teams has a weak, positive correlation with the difference in expected goals (Pearson correlation R = 0.38). As a further manifestation of home advantage we find that in games which the two teams have equal pitch control, on average the home team accumulates greater expected goals ( 0.16 ± 0.03 ). The concept of weighted pitch control is introduced, by assigning a weight to regions of the pitch. We demonstrate that pitch control of the penalty box of the out-of-possession team is negatively correlated with expected goals in each of the six seasons, and interpret this apparently counter-intuitive result.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/351840
https://api.elsevier.com/content/abstract/scopus_id/85158827563
url http://hdl.handle.net/10261/351840
https://api.elsevier.com/content/abstract/scopus_id/85158827563
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093732-B-C21
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093732-B-C22
info:eu-repo/grantAgreement/AEI//MDM-2017-0711
https://doi.org/10.1088/2632-072X/acb67d
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
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