The Decision-Making of High-Level Volleyball Setters in the 2021-2022 Volleyball Men's Superliga: Does the Opponent Matter?

competitive context opponent strength strategic choices volleyball performance

Journal

Perceptual and motor skills
ISSN: 1558-688X
Titre abrégé: Percept Mot Skills
Pays: United States
ID NLM: 0401131

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 4 12 2023
pubmed: 25 10 2023
entrez: 25 10 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37879103
doi: 10.1177/00315125231201943
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2603-2620

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Marcos Henrique Nascimento (MH)

Núcleo de Estudo e Pesquisa Avançada em Esportes (NEPAE), Universidade Federal de Goiás, Brazil.

Lorenzo Laporta (L)

Núcleo de Estudos em Performance Analysis em Esportes (NEPAE), Centro de Educação Física e Desportos da Universidade Federal de Santa Maria, Brazil.

Gustavo Ferreira Pedrosa (GF)

Núcleo de Estudos em Performance Analysis em Esportes (NEPAE), Centro de Educação Física e Desportos da Universidade Federal de Santa Maria, Brazil.

Augusto Cezar Rodrigues Rocha (ACR)

Núcleo de Estudo e Pesquisa Avançada em Esportes (NEPAE), Universidade Federal de Goiás, Brazil.

Claudio Andre Barbosa de Lira (CAB)

Núcleo de Estudo e Pesquisa Avançada em Esportes (NEPAE), Universidade Federal de Goiás, Brazil.

Mário Hebling Campos (MH)

Núcleo de Estudo e Pesquisa Avançada em Esportes (NEPAE), Universidade Federal de Goiás, Brazil.

Juracy da Silva Guimarães (J)

Núcleo de Estudo e Pesquisa Avançada em Esportes (NEPAE), Universidade Federal de Goiás, Brazil.

Thiago José Leonardi (TJ)

Laboratório de Estudo Multidisciplinares em Esportes, Escola de Educação Física, Fisioterapia e Dança.

Marcelo Couto Jorge Rodrigues (MCJ)

Núcleo de Estudo e Pesquisa Avançada em Esportes (NEPAE), Universidade Federal de Goiás, Brazil.

Lucas Savassi Figueiredo (L)

Universidade Federal de Juiz de Fora, Brazil.
Grupo de Estudos e Pesquisas em Educação Física e Esportes (GEPEFE), Universidade Federal de Mato Grosso, Brazil.

Henrique de Oliveira Castro (H)

Grupo de Estudos e Pesquisas em Educação Física e Esportes (GEPEFE), Universidade Federal de Mato Grosso, Brazil.

Gustavo De Conti Teixeira Costa (G)

Núcleo de Estudo e Pesquisa Avançada em Esportes (NEPAE), Universidade Federal de Goiás, Brazil.

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Classifications MeSH