Quantification of the competition load of the sets in high-level volleyball in the year 2021

Many different factors can affect the performance of athletes in competitions and condition the analysis of technical and tactical performance. One of these factors is the so-called competition load of the set, understood as the difference in points at the end of the set. The main objective of the p...

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Autores: López Martínez, Eduardo, Gea García, Gemma María, Molina Martín, Juan José
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Europea (UEM)
Repositorio:ABACUS. Repositorio de Producción Científica
Idioma:inglés
OAI Identifier:oai:abacus.universidadeuropea.com:11268/12320
Acceso en línea:http://hdl.handle.net/11268/12320
Access Level:acceso abierto
Palabra clave:Ejercicio físico
Rendimiento atlético
Voleibol
Medicina deportiva
Atleta
Efectos fisiológicos
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spelling Quantification of the competition load of the sets in high-level volleyball in the year 2021López Martínez, EduardoGea García, Gemma MaríaMolina Martín, Juan JoséEjercicio físicoRendimiento atléticoVoleibolMedicina deportivaAtletaEfectos fisiológicosMany different factors can affect the performance of athletes in competitions and condition the analysis of technical and tactical performance. One of these factors is the so-called competition load of the set, understood as the difference in points at the end of the set. The main objective of the present study was to investigate the competition load of volleyball sets, to establish reference values that will allow classifying the sets as balanced or unbalanced for the male and female categories. A total of 2368 sets were collected from the main international volleyball team competitions in 2021, for a total of 1357 male sets, and 1011 female sets. A K-means clustering analysis was performed, allowing the classification of the sets as balanced when the difference was ≤6 for the male category, and ≤7 for the female one; and unbalanced when these values were higher. To study how the rest of the variables analyzed affected the percentage of balanced and unbalances sets, a Pearson’s chi-square (x2) analysis was performed, obtaining significant differences on the percentage of balanced and unbalanced sets as a function of the number of sets in the game in both categories. In the female category, the variable of competition analyzed also showed significant differences. Lastly, a CHAID analysis showed that the variable number of sets per game was the main predictor variable for classifying the sets, allowing for the correct classification of 60.4% of the sets in the male category, and 62.7% in the female one. In conclusion, the competition load was associated with the total number of sets per match and the tie-breaker set; and it was only related with the competition analyzed in the female category. The competition load was not significantly related with the competition phase analyzed in any of the two categories. These results can be taken into account by coaches in order to study how the balance in the sets affects the performance of technical indicators, and the variability in the systems or game strategies.20232023-10-0520232023-01-0120232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttp://hdl.handle.net/11268/12320reponame:ABACUS. Repositorio de Producción Científicainstname:Universidad Europea (UEM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:abacus.universidadeuropea.com:11268/123202026-06-11T12:41:27Z
dc.title.none.fl_str_mv Quantification of the competition load of the sets in high-level volleyball in the year 2021
title Quantification of the competition load of the sets in high-level volleyball in the year 2021
spellingShingle Quantification of the competition load of the sets in high-level volleyball in the year 2021
López Martínez, Eduardo
Ejercicio físico
Rendimiento atlético
Voleibol
Medicina deportiva
Atleta
Efectos fisiológicos
title_short Quantification of the competition load of the sets in high-level volleyball in the year 2021
title_full Quantification of the competition load of the sets in high-level volleyball in the year 2021
title_fullStr Quantification of the competition load of the sets in high-level volleyball in the year 2021
title_full_unstemmed Quantification of the competition load of the sets in high-level volleyball in the year 2021
title_sort Quantification of the competition load of the sets in high-level volleyball in the year 2021
dc.creator.none.fl_str_mv López Martínez, Eduardo
Gea García, Gemma María
Molina Martín, Juan José
author López Martínez, Eduardo
author_facet López Martínez, Eduardo
Gea García, Gemma María
Molina Martín, Juan José
author_role author
author2 Gea García, Gemma María
Molina Martín, Juan José
author2_role author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Ejercicio físico
Rendimiento atlético
Voleibol
Medicina deportiva
Atleta
Efectos fisiológicos
topic Ejercicio físico
Rendimiento atlético
Voleibol
Medicina deportiva
Atleta
Efectos fisiológicos
description Many different factors can affect the performance of athletes in competitions and condition the analysis of technical and tactical performance. One of these factors is the so-called competition load of the set, understood as the difference in points at the end of the set. The main objective of the present study was to investigate the competition load of volleyball sets, to establish reference values that will allow classifying the sets as balanced or unbalanced for the male and female categories. A total of 2368 sets were collected from the main international volleyball team competitions in 2021, for a total of 1357 male sets, and 1011 female sets. A K-means clustering analysis was performed, allowing the classification of the sets as balanced when the difference was ≤6 for the male category, and ≤7 for the female one; and unbalanced when these values were higher. To study how the rest of the variables analyzed affected the percentage of balanced and unbalances sets, a Pearson’s chi-square (x2) analysis was performed, obtaining significant differences on the percentage of balanced and unbalanced sets as a function of the number of sets in the game in both categories. In the female category, the variable of competition analyzed also showed significant differences. Lastly, a CHAID analysis showed that the variable number of sets per game was the main predictor variable for classifying the sets, allowing for the correct classification of 60.4% of the sets in the male category, and 62.7% in the female one. In conclusion, the competition load was associated with the total number of sets per match and the tie-breaker set; and it was only related with the competition analyzed in the female category. The competition load was not significantly related with the competition phase analyzed in any of the two categories. These results can be taken into account by coaches in order to study how the balance in the sets affects the performance of technical indicators, and the variability in the systems or game strategies.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-10-05
2023
2023-01-01
2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/11268/12320
url http://hdl.handle.net/11268/12320
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:ABACUS. Repositorio de Producción Científica
instname:Universidad Europea (UEM)
instname_str Universidad Europea (UEM)
reponame_str ABACUS. Repositorio de Producción Científica
collection ABACUS. Repositorio de Producción Científica
repository.name.fl_str_mv
repository.mail.fl_str_mv
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