A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)

[EN] Background: Tennis ball tracking technology allows the aquirement of novel and reliable data about several performance indicators, such as volley positions. This information is key to understand match dynamics in doubles tennis and to better help preparing players for the demands they will face...

Descripción completa

Detalles Bibliográficos
Autores: Martínez-Gallego, Rafael, Ramón-Llín, Jesús, Crespo, Miguel
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/205322
Acceso en línea:https://riunet.upv.es/handle/10251/205322
Access Level:acceso abierto
Palabra clave:Racquet sports
Match analysis
Tactics
Analytics
id ES_9c59cd276e3eac5fb019d1aaa1316db3
oai_identifier_str oai:riunet.upv.es:10251/205322
network_acronym_str ES
network_name_str España
repository_id_str
spelling A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)Martínez-Gallego, RafaelRamón-Llín, JesúsCrespo, MiguelRacquet sportsMatch analysisTacticsAnalytics[EN] Background: Tennis ball tracking technology allows the aquirement of novel and reliable data about several performance indicators, such as volley positions. This information is key to understand match dynamics in doubles tennis and to better help preparing players for the demands they will face in match play. As such, the purpose of this study was to describe and compare the different types of volley positions in men's and women's doubles professional tennis. (2) Methods: Ball tracking data were collected for 46 women (Billie Jean King Cup) and 96 men's doubles matches (Davis Cup). The variables used were the distance to the net, the distance to the centre of the court and the height of the impact. A K-Means cluster analysis was used to identify in each subsample different profiles of volley locations. (3) Results: The inferential analysis revealed differences in men's (distance to the net eta(2) = 0.72, distance to the centre of the court eta(2) = 0.77 and impact height eta(2) = 0.63) and women's subsamples (distance to the net eta(2) = 0.48, distance to the centre of the court eta(2) = 0.52 and impact height eta(2) = 0.51). (4) Conclusions: The results allowed the suggestion of a higher variability in men's matches, as there were seven different clusters identified, and only four in women's.This work was supported by the International Tennis Federation (Project: Notational analysis in doubles tennis ).MDPI AGInternational Tennis FederationRepositorio Institucional de la Universitat Politècnica de València Riunet20212021-06-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/205322reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2053222026-06-13T07:49:27Z
dc.title.none.fl_str_mv A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)
title A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)
spellingShingle A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)
Martínez-Gallego, Rafael
Racquet sports
Match analysis
Tactics
Analytics
title_short A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)
title_full A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)
title_fullStr A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)
title_full_unstemmed A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)
title_sort A Cluster Analysis Approach to Profile Men and Women s Volley Positions in Professional Tennis Matches (Doubles)
dc.creator.none.fl_str_mv Martínez-Gallego, Rafael
Ramón-Llín, Jesús
Crespo, Miguel
author Martínez-Gallego, Rafael
author_facet Martínez-Gallego, Rafael
Ramón-Llín, Jesús
Crespo, Miguel
author_role author
author2 Ramón-Llín, Jesús
Crespo, Miguel
author2_role author
author
dc.contributor.none.fl_str_mv International Tennis Federation
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Racquet sports
Match analysis
Tactics
Analytics
topic Racquet sports
Match analysis
Tactics
Analytics
description [EN] Background: Tennis ball tracking technology allows the aquirement of novel and reliable data about several performance indicators, such as volley positions. This information is key to understand match dynamics in doubles tennis and to better help preparing players for the demands they will face in match play. As such, the purpose of this study was to describe and compare the different types of volley positions in men's and women's doubles professional tennis. (2) Methods: Ball tracking data were collected for 46 women (Billie Jean King Cup) and 96 men's doubles matches (Davis Cup). The variables used were the distance to the net, the distance to the centre of the court and the height of the impact. A K-Means cluster analysis was used to identify in each subsample different profiles of volley locations. (3) Results: The inferential analysis revealed differences in men's (distance to the net eta(2) = 0.72, distance to the centre of the court eta(2) = 0.77 and impact height eta(2) = 0.63) and women's subsamples (distance to the net eta(2) = 0.48, distance to the centre of the court eta(2) = 0.52 and impact height eta(2) = 0.51). (4) Conclusions: The results allowed the suggestion of a higher variability in men's matches, as there were seven different clusters identified, and only four in women's.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/205322
url https://riunet.upv.es/handle/10251/205322
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
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
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
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869414651133952000
score 15,81155

Similares en LA Referencia