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http://hdl.handle.net/1843/43692
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DC Field | Value | Language |
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dc.creator | Gibson Moreira Praça | pt_BR |
dc.creator | Bernardo Barbosa Lima | pt_BR |
dc.creator | Sarah Da Glória Teles Bredt | pt_BR |
dc.creator | Raphael Brito e Sousa | pt_BR |
dc.creator | Filipe Manuel Clemente | pt_BR |
dc.creator | André Gustavo Pereira de Andrade | pt_BR |
dc.date.accessioned | 2022-07-27T14:17:51Z | - |
dc.date.available | 2022-07-27T14:17:51Z | - |
dc.date.issued | 2019-03 | - |
dc.citation.volume | 10 | pt_BR |
dc.citation.spage | 1 | pt_BR |
dc.citation.epage | 8 | pt_BR |
dc.identifier.doi | https://doi.org/10.3389/fpsyg.2019.00695 | pt_BR |
dc.identifier.issn | 1664-1078 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/1843/43692 | - |
dc.description.resumo | The analyses of players and teams’ behaviors during the FIFA World Cup may provide a better understanding on how football tactics and strategies have developed in the past few years in elite football. The Social Network Analysis (SNA) has been carried out in the investigations about passing distribution, improving the understanding on how players interact and cooperate during a match. In football official matches, studies have used the SNA as a means of coding players’ cooperation and opposition patterns. However, situational variables such as match status were previously investigated and associated with changes on teams’ dynamics within and/or between matches, but were not considered in studies based on Social Network Analysis. This study aimed to analyze the influence of match status on teams’ cooperation patterns and players’ prominence according to playing positions during 2018 FIFA World Cup. Fourteen matches of the knockout stage were analyzed. Macro and micro network measures were obtained from adjacency matrixes collected for each team, in each match status (winning, drawing, and losing). A one-way ANOVA was used to compare teams’ networks (macro-analysis variables) within each match status, while a two-way ANOVA (match status × playing position) was used to compare the micro-analysis variables. Results showed no differences between match status for macro analysis. Winning situations induced higher prominence in central midfielders (0.107; p = 0.001), wide midfielders (0.093; p = 0.001), and center forward (0.085; p = 0.001), while in losing situations lower prominence levels were observed for goalkeepers (0.044; p = 0.001) and center forward (0.074; p = 0.001). Data revealed that teams do not change macrostructures according to match status. On the other hand, the microstructures showed important adaptations regarding game styles, with changes in players’ behaviors according to playing positions. In general, the levels of centrality and prestige in players of different positions indicated a more direct play style in winning situations and a more build-up style in losing situations. These results allow a better understanding about the influence of match status on players’ and teams’ performance during high-level football competitions and may help coaches to improve athletes’ performance in these situations. | pt_BR |
dc.description.sponsorship | CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico | pt_BR |
dc.description.sponsorship | FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais | pt_BR |
dc.description.sponsorship | CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | pt_BR |
dc.format.mimetype | pt_BR | |
dc.language | eng | pt_BR |
dc.publisher | Universidade Federal de Minas Gerais | pt_BR |
dc.publisher.country | Brasil | pt_BR |
dc.publisher.department | EEF - DEPARTAMENTO DE ESPORTES | pt_BR |
dc.publisher.initials | UFMG | pt_BR |
dc.relation.ispartof | Frontiers in Psychology | pt_BR |
dc.rights | Acesso Aberto | pt_BR |
dc.subject | Football | pt_BR |
dc.subject | Social Network Analysis | pt_BR |
dc.subject | Notational analysis | pt_BR |
dc.subject | Match status | pt_BR |
dc.subject | Playing position | pt_BR |
dc.subject | Situational variables | pt_BR |
dc.subject | Observational methodology | pt_BR |
dc.subject.other | Futebol - Competições | pt_BR |
dc.subject.other | Redes de relações sociais | pt_BR |
dc.subject.other | Observação | pt_BR |
dc.subject.other | Jogadores de futebol | pt_BR |
dc.subject.other | Equipes de esportes | pt_BR |
dc.subject.other | Copa do mundo (Futebol) | pt_BR |
dc.title | Influence of match status on players’ prominence and teams’ network properties during 2018 FIFA World Cup | pt_BR |
dc.type | Artigo de Periódico | pt_BR |
dc.url.externa | https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00695/full | pt_BR |
dc.identifier.orcid | http://orcid.org/0000-0001-9971-7308 | pt_BR |
dc.identifier.orcid | http://orcid.org/0000-0003-1014-9434 | pt_BR |
dc.identifier.orcid | http://orcid.org/0000-0003-2692-0289 | pt_BR |
dc.identifier.orcid | https://orcid.org/ 0000-0001-9813-2842 | pt_BR |
dc.identifier.orcid | http://orcid.org/0000-0003-3406-4558 | pt_BR |
Appears in Collections: | Artigo de Periódico |
Files in This Item:
File | Description | Size | Format | |
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Influence of match status on players prominence and teams network properties during 2018 FIFA World Cup.pdf | 1.13 MB | Adobe PDF | View/Open |
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