The influence of playing position on the physical, technical, and network variables of sub-elite professional soccer athletes

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dc.creatorGibson Praça
dc.creatorLaura Beatriz Faleiro Diniz
dc.creatorFilipe Manuel Clemente
dc.creatorSarah da Glória Teles Bredt
dc.creatorBruno Couto
dc.creatorAndré Gustavo Pereira de Andrade
dc.creatorAdam Lee Owen
dc.date.accessioned2024-02-15T16:46:21Z
dc.date.accessioned2025-09-08T23:59:00Z
dc.date.available2024-02-15T16:46:21Z
dc.date.issued2020
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.identifier.doihttps://doi.org/10.5114/hm.2020.100010
dc.identifier.issn1899-1955
dc.identifier.urihttps://hdl.handle.net/1843/63979
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofHuman movement
dc.rightsAcesso Restrito
dc.subjectFutebol - treinamento técnico
dc.subjectJogadores de futebol
dc.subjectGPS (programa de computador)
dc.subjectRede social
dc.subject.otherSoccer
dc.subject.otherMatch analysis
dc.subject.otherPlaying position
dc.subject.otherGPS devices
dc.subject.otherSocial network analysis
dc.subject.otherNotational analysis
dc.titleThe influence of playing position on the physical, technical, and network variables of sub-elite professional soccer athletes
dc.typeArtigo de periódico
local.citation.epage31
local.citation.issue2
local.citation.spage22
local.citation.volume22
local.description.resumoPurpose: Match analysis must adopt multidimensional performance indicators, which include analysing playing position influence in official matches. The study compared physical, technical, and network variables of Brazilian soccer athletes from different positions. Methods: Overall, 17 professional soccer athletes (3 central defenders, 4 fullbacks, 5 central midfielders, 3 wide forwards, 2 central forwards) were monitored during 6 official matches. External load data were collected with a 10-Hz GPS device. The number of passes, shots, losses of ball possession, and balls recovered were coded. Athletes’ network centralities were assessed with social network analysis. Results: Central midfielders (10.0 ± 0.8 km) and wide forwards (10.4 ± 0.4 km) covered higher distances than central defenders (10.2% and 14.7%, respectively; ES = 0.392) and central forwards (16.7% and 21.5%, respectively; ES = 0.392). Wide forwards performed more high-intensity running (17.8 ± 2.5) than central defenders (91.4%; ES = 0.377) and forwards (88.9%; ES = 0.377). Central defenders (43.1 ± 22.3) and fullbacks (41.5 ± 17.3) performed more passes than forwards (453.4% and 470.0%, respectively; ES = 0.383). Central defenders (0.16 ± 0.04 AU) and fullbacks (0.14 ± 0.05 AU) presented a higher degree of centrality than all other positions (ES = 0.651). Wide forwards presented a higher degree of prestige (0.13 ± 0.05 AU) than central defenders (325%; ES = 0.242). The highest prominence was observed for wide (0.12 ± 0.01 AU) and central forwards (0.12 ± 0.03 AU) (ES = 0.509). Conclusions: Physical and technical responses and network properties are position-specific among sub-elite athletes.
local.identifier.orcidhttps://orcid.org/0000-0001-9971-7308
local.identifier.orcidhttps://orcid.org/0000-0003-1957-4082
local.identifier.orcidhttps://orcid.org/0000-0001-9813-2842
local.identifier.orcidhttps://orcid.org/0000-0003-1014-9434
local.publisher.countryBrasil
local.publisher.departmentEEF - DEPARTAMENTO DE ESPORTES
local.publisher.initialsUFMG
local.url.externahttps://www.termedia.pl/The-influence-of-playing-position-on-the-physical-technical-and-network-variables-of-sub-elite-professional-soccer-athletes,129,42096,0,1.html

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