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Positional Influence in Football Passing Networks: An Analysis of the Tactical Systems and Match Outcomes

dc.contributor.authorAlves, Ricardo
dc.contributor.authorDias, Gonçalo Nuno Figueiredo
dc.contributor.authorNunes, Nuno André
dc.contributor.authorMartins, Fernando Manuel Lourenço
dc.contributor.authorQuerido, Sérgio M.
dc.contributor.authorVaz, Vasco
dc.date.accessioned2026-05-18T10:50:02Z
dc.date.available2026-05-18T10:50:02Z
dc.date.issued2025-10
dc.description.abstractThis study analysed how tactical systems and match outcomes influence micro-level passing network metrics across playing positions in a professional football team competing in the Portuguese First Division during the 2020–2021 season. It examined how structural variation affects Degree Centrality, Degree Prestige, and Proximity Prestige across tactical systems (1-4-1-4-1, 1-4-3-3, 1-3-4-3) and outcomes (win, loss, draw) in different positions. Data from 28 league matches were used, with adjacency matrices constructed from teammate interactions. Players were grouped into six positions: goalkeepers, fullbacks, central defenders, central midfielders, wingers, and strikers. One-way ANOVA revealed significant differences (p < 0.05) across positions, tactical systems, and match outcomes. Central defenders consistently showed higher values of Degree Centrality and Degree Prestige across most systems and outcomes, highlighting their structural importance. In contrast, strikers and wingers displayed greater Proximity Prestige in the 1-4-3-3 and 1-3-4-3, reflecting their offensive positioning. Match outcome analysis indicated that wingers had significantly higher Degree Prestige in won matches compared to losses. Overall, results show that micro-level network metrics vary meaningfully by position and context, underscoring the importance of interpreting them cautiously. Despite the novelty of this study, focusing on the initial tactical systems without capturing within-match adjustments may condition the generality of the results. Coaches and practitioners should account for tactical and outcome-related variations when applying network analysis to optimise team dynamics.eng
dc.identifier.citationAlves, R.; Dias, G.; Nunes, N.A.; Martins, F.; Querido, S.M.; Vaz, V. Positional Influence in Football Passing Networks: An Analysis of the Tactical Systems and Match Outcomes. Appl. Sci. 2025, 15, 11513. https://doi.org/10.3390/ app152111513
dc.identifier.doi10.3390/app152111513
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10400.26/63175
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI AG
dc.relation.ispartofApplied Sciences
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectmatch analysis
dc.subjectsoccer
dc.subjectnetwork analysis
dc.subjectperformance analysis
dc.subjectnew technologies
dc.titlePositional Influence in Football Passing Networks: An Analysis of the Tactical Systems and Match Outcomeseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage14
oaire.citation.issue21
oaire.citation.startPage1
oaire.citation.titleApplied Sciences
oaire.citation.volume15
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameDias
person.familyNameMartins
person.givenNameGonçalo Nuno Figueiredo
person.givenNameFernando Manuel Lourenço
person.identifier1146183
person.identifier0000000070715256
person.identifier.ciencia-id131E-C0FA-7834
person.identifier.ciencia-id8512-5BB4-6DFD
person.identifier.orcid0000-0002-3774-6661
person.identifier.orcid0000-0002-1812-2300
person.identifier.ridAAK-6934-2020
person.identifier.scopus-author-id14324779000
person.identifier.scopus-author-id57217191490
relation.isAuthorOfPublication45754c5a-e464-4564-8bb3-befbd77e85ad
relation.isAuthorOfPublication805fc13a-0e76-4f11-9d4c-0dc177f8145c
relation.isAuthorOfPublication.latestForDiscovery45754c5a-e464-4564-8bb3-befbd77e85ad

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