The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter?
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/272153 |
Resumo: | Our primary objective in this study was to investigate the offensive strategies employed in the attack phase of men’s volleyball, specifically focusing on side-out as stratified by the type of confrontation that was determined by the opponent’s team performance. We analyzed 5524 attacking actions during 22 games of the 12 teams that participated in the Volleyball Men’s Superliga (season 2021–2022). Based on their final rankings in the championship, we classified these teams into three tiers: high-performance, intermediate-performance, and low-performance. Subsequently, we examined the dynamics of these matches using Social Network Analysis. We found that the opponent teams' performance levels did not influence the game dynamics. Notably, the eigenvector values were prominently higher for Attack Zones 2 and 4, wherein the middle-blocker jumped to attack close to the setter across all networks. Thus, setters opted for traditional and low-risk strategies to minimize errors, disregarding available information about the skill level of the opposing team, making their offensive tactics predictable. |
id |
UFRGS-2_685912f1cbf0d7e25e9ad1e782929f30 |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/272153 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
spelling |
Nascimento, Marcos Henrique doLaporta, Lorenzo IopPedrosa, Gustavo FerreiraRocha, Augusto Cezar RodriguesLira, Claudio Andre Barbosa deCampos, Mario HeblingGuimarães, Juracy da SilvaLeonardi, Thiago JoséRodrigues, Marcelo Couto JorgeFigueiredo, Lucas SavassiCastro, Henrique de OliveiraCosta, Gustavo De Conti Teixeira2024-02-27T04:57:31Z20230031-5125http://hdl.handle.net/10183/272153001189726Our primary objective in this study was to investigate the offensive strategies employed in the attack phase of men’s volleyball, specifically focusing on side-out as stratified by the type of confrontation that was determined by the opponent’s team performance. We analyzed 5524 attacking actions during 22 games of the 12 teams that participated in the Volleyball Men’s Superliga (season 2021–2022). Based on their final rankings in the championship, we classified these teams into three tiers: high-performance, intermediate-performance, and low-performance. Subsequently, we examined the dynamics of these matches using Social Network Analysis. We found that the opponent teams' performance levels did not influence the game dynamics. Notably, the eigenvector values were prominently higher for Attack Zones 2 and 4, wherein the middle-blocker jumped to attack close to the setter across all networks. Thus, setters opted for traditional and low-risk strategies to minimize errors, disregarding available information about the skill level of the opposing team, making their offensive tactics predictable.application/pdfengPerceptual and Motor Skills. Thousand Oaks, CA. Vol. 130, n. 6 (Dec. 2023), p. 2603-2620.Desempenho atléticoVoleibolEstratégia de jogoCompetição esportivaVolleyball performanceStrategic choicesCompetitive contextOpponent strengthThe decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter?Estrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001189726.pdf.txt001189726.pdf.txtExtracted Texttext/plain46701http://www.lume.ufrgs.br/bitstream/10183/272153/2/001189726.pdf.txtae819c0a1ab57fb799f2f2be585c6fb3MD52ORIGINAL001189726.pdfTexto completo (inglês)application/pdf1380954http://www.lume.ufrgs.br/bitstream/10183/272153/1/001189726.pdf17dab4183b50602e9ee352fb77605080MD5110183/2721532024-02-28 05:02:10.414993oai:www.lume.ufrgs.br:10183/272153Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-02-28T08:02:10Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter? |
title |
The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter? |
spellingShingle |
The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter? Nascimento, Marcos Henrique do Desempenho atlético Voleibol Estratégia de jogo Competição esportiva Volleyball performance Strategic choices Competitive context Opponent strength |
title_short |
The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter? |
title_full |
The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter? |
title_fullStr |
The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter? |
title_full_unstemmed |
The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter? |
title_sort |
The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s superliga : Does the opponent matter? |
author |
Nascimento, Marcos Henrique do |
author_facet |
Nascimento, Marcos Henrique do Laporta, Lorenzo Iop Pedrosa, Gustavo Ferreira Rocha, Augusto Cezar Rodrigues Lira, Claudio Andre Barbosa de Campos, Mario Hebling Guimarães, Juracy da Silva Leonardi, Thiago José Rodrigues, Marcelo Couto Jorge Figueiredo, Lucas Savassi Castro, Henrique de Oliveira Costa, Gustavo De Conti Teixeira |
author_role |
author |
author2 |
Laporta, Lorenzo Iop Pedrosa, Gustavo Ferreira Rocha, Augusto Cezar Rodrigues Lira, Claudio Andre Barbosa de Campos, Mario Hebling Guimarães, Juracy da Silva Leonardi, Thiago José Rodrigues, Marcelo Couto Jorge Figueiredo, Lucas Savassi Castro, Henrique de Oliveira Costa, Gustavo De Conti Teixeira |
author2_role |
author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Nascimento, Marcos Henrique do Laporta, Lorenzo Iop Pedrosa, Gustavo Ferreira Rocha, Augusto Cezar Rodrigues Lira, Claudio Andre Barbosa de Campos, Mario Hebling Guimarães, Juracy da Silva Leonardi, Thiago José Rodrigues, Marcelo Couto Jorge Figueiredo, Lucas Savassi Castro, Henrique de Oliveira Costa, Gustavo De Conti Teixeira |
dc.subject.por.fl_str_mv |
Desempenho atlético Voleibol Estratégia de jogo Competição esportiva |
topic |
Desempenho atlético Voleibol Estratégia de jogo Competição esportiva Volleyball performance Strategic choices Competitive context Opponent strength |
dc.subject.eng.fl_str_mv |
Volleyball performance Strategic choices Competitive context Opponent strength |
description |
Our primary objective in this study was to investigate the offensive strategies employed in the attack phase of men’s volleyball, specifically focusing on side-out as stratified by the type of confrontation that was determined by the opponent’s team performance. We analyzed 5524 attacking actions during 22 games of the 12 teams that participated in the Volleyball Men’s Superliga (season 2021–2022). Based on their final rankings in the championship, we classified these teams into three tiers: high-performance, intermediate-performance, and low-performance. Subsequently, we examined the dynamics of these matches using Social Network Analysis. We found that the opponent teams' performance levels did not influence the game dynamics. Notably, the eigenvector values were prominently higher for Attack Zones 2 and 4, wherein the middle-blocker jumped to attack close to the setter across all networks. Thus, setters opted for traditional and low-risk strategies to minimize errors, disregarding available information about the skill level of the opposing team, making their offensive tactics predictable. |
publishDate |
2023 |
dc.date.issued.fl_str_mv |
2023 |
dc.date.accessioned.fl_str_mv |
2024-02-27T04:57:31Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/272153 |
dc.identifier.issn.pt_BR.fl_str_mv |
0031-5125 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001189726 |
identifier_str_mv |
0031-5125 001189726 |
url |
http://hdl.handle.net/10183/272153 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Perceptual and Motor Skills. Thousand Oaks, CA. Vol. 130, n. 6 (Dec. 2023), p. 2603-2620. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/272153/2/001189726.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/272153/1/001189726.pdf |
bitstream.checksum.fl_str_mv |
ae819c0a1ab57fb799f2f2be585c6fb3 17dab4183b50602e9ee352fb77605080 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
|
_version_ |
1801225111275044864 |