Transfer market activities and sportive performance in European first football leagues: A dynamic network approach

Autores
Matesanz Gómez, David; Holzmayer, Florian; Torgler, Benno; Schmidt, Sascha L.; Ortega, Guillermo José
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Professional football is a globalized game in which players are the most valuable assets for clubs. In this study, we explore the evolution of the football players’ transfer network among 21 European first leagues between the seasons 1996/1997 and 2015/2016. From a topological point of view, we show that this network achieved an upper limit expansion around season 2007/2008, thereafter becoming more connected and dense. Using a machine learning approach based on Self-Organizing Maps and Principal Component Analysis we confirm that European competitions, such as the UEFA Champions League or UEFA Europa League, are indeed a “money game” where the clubs with the highest transfer spending achieve better sportive performance. Some clubs’ transfer market activities also affect domestic performance. We conclude from our findings that the relationship between transfer spending and domestic or international sportive performance might lead to substantial inequality between clubs and leagues, while potentially creating a virtuous (vicious) circle in which these variables reinforce (weaken) each other.
Fil: Matesanz Gómez, David. Universidad de Oviedo. Facultad de Ciencias Económicas y Empresariales. Departamento de Economía Aplicada; España
Fil: Holzmayer, Florian. WHU–Otto Beisheim School of Management; Alemania
Fil: Torgler, Benno. University of Technology Sydney; Australia. Center for Research in Economics, Management and the Arts; Suiza
Fil: Schmidt, Sascha L.. WHU–Otto Beisheim School of Management; Alemania. Center for Research in Economics, Management and the Arts; Suiza
Fil: Ortega, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; Argentina
Materia
TRANSFER MARKET
MACHINE LEARNING
FOOTBALL
SPORTS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/155464
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Transfer market activities and sportive performance in European first football leagues: A dynamic network approachMatesanz Gómez, DavidHolzmayer, FlorianTorgler, BennoSchmidt, Sascha L.Ortega, Guillermo JoséTRANSFER MARKETMACHINE LEARNINGFOOTBALLSPORTShttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5Professional football is a globalized game in which players are the most valuable assets for clubs. In this study, we explore the evolution of the football players’ transfer network among 21 European first leagues between the seasons 1996/1997 and 2015/2016. From a topological point of view, we show that this network achieved an upper limit expansion around season 2007/2008, thereafter becoming more connected and dense. Using a machine learning approach based on Self-Organizing Maps and Principal Component Analysis we confirm that European competitions, such as the UEFA Champions League or UEFA Europa League, are indeed a “money game” where the clubs with the highest transfer spending achieve better sportive performance. Some clubs’ transfer market activities also affect domestic performance. We conclude from our findings that the relationship between transfer spending and domestic or international sportive performance might lead to substantial inequality between clubs and leagues, while potentially creating a virtuous (vicious) circle in which these variables reinforce (weaken) each other.Fil: Matesanz Gómez, David. Universidad de Oviedo. Facultad de Ciencias Económicas y Empresariales. Departamento de Economía Aplicada; EspañaFil: Holzmayer, Florian. WHU–Otto Beisheim School of Management; AlemaniaFil: Torgler, Benno. University of Technology Sydney; Australia. Center for Research in Economics, Management and the Arts; SuizaFil: Schmidt, Sascha L.. WHU–Otto Beisheim School of Management; Alemania. Center for Research in Economics, Management and the Arts; SuizaFil: Ortega, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; ArgentinaPublic Library of Science2018-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/155464Matesanz Gómez, David; Holzmayer, Florian; Torgler, Benno; Schmidt, Sascha L.; Ortega, Guillermo José; Transfer market activities and sportive performance in European first football leagues: A dynamic network approach; Public Library of Science; Plos One; 13; 12; 12-2018; 1-161932-6203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0209362info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0209362info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:29:59Zoai:ri.conicet.gov.ar:11336/155464instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:30:00.266CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Transfer market activities and sportive performance in European first football leagues: A dynamic network approach
title Transfer market activities and sportive performance in European first football leagues: A dynamic network approach
spellingShingle Transfer market activities and sportive performance in European first football leagues: A dynamic network approach
Matesanz Gómez, David
TRANSFER MARKET
MACHINE LEARNING
FOOTBALL
SPORTS
title_short Transfer market activities and sportive performance in European first football leagues: A dynamic network approach
title_full Transfer market activities and sportive performance in European first football leagues: A dynamic network approach
title_fullStr Transfer market activities and sportive performance in European first football leagues: A dynamic network approach
title_full_unstemmed Transfer market activities and sportive performance in European first football leagues: A dynamic network approach
title_sort Transfer market activities and sportive performance in European first football leagues: A dynamic network approach
dc.creator.none.fl_str_mv Matesanz Gómez, David
Holzmayer, Florian
Torgler, Benno
Schmidt, Sascha L.
Ortega, Guillermo José
author Matesanz Gómez, David
author_facet Matesanz Gómez, David
Holzmayer, Florian
Torgler, Benno
Schmidt, Sascha L.
Ortega, Guillermo José
author_role author
author2 Holzmayer, Florian
Torgler, Benno
Schmidt, Sascha L.
Ortega, Guillermo José
author2_role author
author
author
author
dc.subject.none.fl_str_mv TRANSFER MARKET
MACHINE LEARNING
FOOTBALL
SPORTS
topic TRANSFER MARKET
MACHINE LEARNING
FOOTBALL
SPORTS
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Professional football is a globalized game in which players are the most valuable assets for clubs. In this study, we explore the evolution of the football players’ transfer network among 21 European first leagues between the seasons 1996/1997 and 2015/2016. From a topological point of view, we show that this network achieved an upper limit expansion around season 2007/2008, thereafter becoming more connected and dense. Using a machine learning approach based on Self-Organizing Maps and Principal Component Analysis we confirm that European competitions, such as the UEFA Champions League or UEFA Europa League, are indeed a “money game” where the clubs with the highest transfer spending achieve better sportive performance. Some clubs’ transfer market activities also affect domestic performance. We conclude from our findings that the relationship between transfer spending and domestic or international sportive performance might lead to substantial inequality between clubs and leagues, while potentially creating a virtuous (vicious) circle in which these variables reinforce (weaken) each other.
Fil: Matesanz Gómez, David. Universidad de Oviedo. Facultad de Ciencias Económicas y Empresariales. Departamento de Economía Aplicada; España
Fil: Holzmayer, Florian. WHU–Otto Beisheim School of Management; Alemania
Fil: Torgler, Benno. University of Technology Sydney; Australia. Center for Research in Economics, Management and the Arts; Suiza
Fil: Schmidt, Sascha L.. WHU–Otto Beisheim School of Management; Alemania. Center for Research in Economics, Management and the Arts; Suiza
Fil: Ortega, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; Argentina
description Professional football is a globalized game in which players are the most valuable assets for clubs. In this study, we explore the evolution of the football players’ transfer network among 21 European first leagues between the seasons 1996/1997 and 2015/2016. From a topological point of view, we show that this network achieved an upper limit expansion around season 2007/2008, thereafter becoming more connected and dense. Using a machine learning approach based on Self-Organizing Maps and Principal Component Analysis we confirm that European competitions, such as the UEFA Champions League or UEFA Europa League, are indeed a “money game” where the clubs with the highest transfer spending achieve better sportive performance. Some clubs’ transfer market activities also affect domestic performance. We conclude from our findings that the relationship between transfer spending and domestic or international sportive performance might lead to substantial inequality between clubs and leagues, while potentially creating a virtuous (vicious) circle in which these variables reinforce (weaken) each other.
publishDate 2018
dc.date.none.fl_str_mv 2018-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/155464
Matesanz Gómez, David; Holzmayer, Florian; Torgler, Benno; Schmidt, Sascha L.; Ortega, Guillermo José; Transfer market activities and sportive performance in European first football leagues: A dynamic network approach; Public Library of Science; Plos One; 13; 12; 12-2018; 1-16
1932-6203
CONICET Digital
CONICET
url http://hdl.handle.net/11336/155464
identifier_str_mv Matesanz Gómez, David; Holzmayer, Florian; Torgler, Benno; Schmidt, Sascha L.; Ortega, Guillermo José; Transfer market activities and sportive performance in European first football leagues: A dynamic network approach; Public Library of Science; Plos One; 13; 12; 12-2018; 1-16
1932-6203
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0209362
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0209362
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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