Sequencing of game complexes in women’s volleyball: are there differences according to the set played?

Purpose The objective of the present manuscript was to analyse the flow of play in high-level women’s volleyball by sequencing game complexes per set. Methods The sample analysed 135 matches played in the 2021/2022 Brazilian Women’s Superliga, with the number of matches analysed ranging from 14 and 25 matches for all teams participating in the championship. Eigenvector Centrality and Social Network Analysis conducted the connectivity and specificity of relationships as, and inferential analysis was performed using the chi-square test with a Monte Carlo correction. Results The results showed that the highest eigenvalues were for the continuity effect, except for complex 0. Regarding the continuity effect, the eigenvalues in the first four sets were higher for complexes III, IV, and V. In the fifth set, the highest eigenvalues were close between complexes II, III, IV, and V for the continuity effect. Furthermore, the results indicated that there was no association between the sequencing of game complexes and the set played (χ² = 2470.01 and = 0.34, <i>p</i> = 0.272), nor between the number of complexes and the set played (χ² = 17.63 and = 0.03, <i>p</i> = 0.346). Conclusions In conclusion, women’s volleyball presents gameplay strategies to sustain play, promoting game continuity, regardless of the set played. The number of game complexes required to secure a point varies between two and three game complexes. Coaches should consider the dynamics in women’s volleyball matches, preparing teams for less risky and more continuous play.

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Publication Details

Journal
Human Movement
Published
2024-12-23
DOI
https://doi.org/10.5114/hm/194773
Citations
3
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
3.39
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article

Sequencing of game complexes in women’s volleyball: are there differences according to the set played?

Lorenzo Laporta, Filipe Manuel Clemente, C Rangel, Thiago José Leonardi et al.
3 citations
Human Movement
Sports Analytics and Performance
3.39
article

Sequencing of game complexes in women’s volleyball: are there differences according to the set played?

Lorenzo Laporta, Filipe Manuel Clemente, C Rangel, Thiago José Leonardi, Gustavo Ferreira Pedrosa, Gustavo De Conti Teixeira Costa, Auro Barreiros Freire, Claudio André Barbosa de Lira, Pedro Henrique Cavalcante Vieira, Augusto Faria de Paula Santana
article en
3 citations

Abstract

Purpose The objective of the present manuscript was to analyse the flow of play in high-level women’s volleyball by sequencing game complexes per set. Methods The sample analysed 135 matches played in the 2021/2022 Brazilian Women’s Superliga, with the number of matches analysed ranging from 14 and 25 matches for all teams participating in the championship. Eigenvector Centrality and Social Network Analysis conducted the connectivity and specificity of relationships as, and inferential analysis was performed using the chi-square test with a Monte Carlo correction. Results The results showed that the highest eigenvalues were for the continuity effect, except for complex 0. Regarding the continuity effect, the eigenvalues in the first four sets were higher for complexes III, IV, and V. In the fifth set, the highest eigenvalues were close between complexes II, III, IV, and V for the continuity effect. Furthermore, the results indicated that there was no association between the sequencing of game complexes and the set played (χ² = 2470.01 and = 0.34, <i>p</i> = 0.272), nor between the number of complexes and the set played (χ² = 17.63 and = 0.03, <i>p</i> = 0.346). Conclusions In conclusion, women’s volleyball presents gameplay strategies to sustain play, promoting game continuity, regardless of the set played. The number of game complexes required to secure a point varies between two and three game complexes. Coaches should consider the dynamics in women’s volleyball matches, preparing teams for less risky and more continuous play.

Human MovementVol. 25(4)
Gender equality
Openalex Percentile: Top 6%
Sports Analytics and Performance
3.39
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