Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup

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dc.creatorFilipe Manuel Clemente
dc.creatorHugo Borges Sarmento
dc.creatorGibson Moreira Praça
dc.creatorPantelis Theodoros Nikolaidis
dc.creatorThomas Rosemann
dc.creatorBeat Knechtle
dc.date.accessioned2022-07-27T16:31:22Z
dc.date.accessioned2025-09-09T00:14:07Z
dc.date.available2022-07-27T16:31:22Z
dc.date.issued2019-08
dc.description.sponsorshipOutra Agência
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.3389/fpsyg.2019.01802
dc.identifier.issn1664-1078
dc.identifier.urihttps://hdl.handle.net/1843/43693
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofFrontiers in Psychology
dc.rightsAcesso Aberto
dc.subjectTeoria dos grafos
dc.subjectRedes de relações sociais
dc.subjectObservação
dc.subjectJogadores de futebol
dc.subjectDesempenho
dc.subjectCopa do mundo (Futebol)
dc.subject.otherGraph theory
dc.subject.otherSocial Network Analysis
dc.subject.otherObservational analysis
dc.subject.otherAssociation football
dc.subject.otherPerformance analysis
dc.subject.otherNotational analysis
dc.titleVariations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup
dc.typeArtigo de periódico
local.citation.epage9
local.citation.spage1
local.citation.volume10
local.description.resumoThe purpose of this study is twofold: (i) analyze the variations of network centralities between close (difference of goals equal to one) and unbalanced (difference of goals equal to or greater than two) scores; and (ii) compare the centrality levels between playing positions. The passing sequences that occurred during the 64 matches played by the 32 national teams that participated in the 2018 FIFA World Cup were analyzed and coded. The network centralities of degree prestige and degree centrality were calculated based on the weighted adjacency matrices built from the passing sequences. The results reveal that higher degree centralities of midfielders occurred in unfavorable (lost) unbalanced scores (p = 0.046; ES (effect size) = 0.472). Moreover, in favorable (won) matches the higher values of degree centrality of central defenders (p = 0.014; ES: 0.458) and defensive midfielders (p = 0.004; ES: 0.715) were also found in unbalanced scores. The comparisons between positions revealed that the highest and significant degree prestige levels were found in defensive midfielders in both close (12.10%) and unbalanced scores (10.95%). In conclusion, it is possible to observe that winning by an unbalanced score significantly increased the centrality levels of the wingers and forwards in comparison to close scores. Moreover, it was also found that independent of the final score or the unbalanced score level, the defensive midfielders were the most prominent or recruited players during the passing sequences.
local.identifier.orcidhttps://orcid.org/ 0000-0001-9813-2842
local.identifier.orcidhttps://orcid.org/ 0000-0001-8681-0642
local.identifier.orcidhttp://orcid.org/0000-0001-9971-7308
local.identifier.orcidhttps://orcid.org/ 0000-0001-8030-7122
local.identifier.orcidhttps://orcid.org/ 0000-0002-6436-6306
local.identifier.orcidhttps://orcid.org/ 0000-0002-2412-9103
local.publisher.countryBrasil
local.publisher.departmentEEF - DEPARTAMENTO DE ESPORTES
local.publisher.initialsUFMG
local.url.externahttps://www.frontiersin.org/articles/10.3389/fpsyg.2019.01802/full

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