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Performance analysis of the events groups as a predictor of high-level decathletes Autores/as

Dados Bibliográficos

ID17801905
AutoresJuan Alfonso García-Roca (0000-0002-2315-3777, Universidad Católica de Murcia, autor correspondente), Juan Manuel García Manso (0000-0002-4360-3384, Universidad de Las Palmas de Gran Canaria), Juan Pedro Fuentes (0000-0002-8299-1092, Universidad de Extremadura), María José Martínez Patiño
Ano2022
Volume17
Fascículo52
Data de publicação2022-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoCultura Ciencia y Deporte (JOURNAL)
Identificadores do periódicoISSN: 1696-5043 • E-ISSN: 1989-7413
EditoraUCAM CCD (PUBLISHER)
DOI10.12800/ccd.v17i52.1789
OpenAlexW4281849989
IdiomaEN
Referências citadas1

The objective of this study was to determine the structure of the decathlon and the value of each of the events an athlete must perform to complete this sports discipline, as well as to determine in which manner these events are grouped in Top-Level athletes with the aim to optimize the methodology of training and improve the selection of talents in the combined events. The sample utilized (102 performances in decathlon event) included the best all-time world specialists until July 2020, and with records equaling or higher than 8300 points (level to achieve the position of Olympic finalist). To establish the adequate grouping of events, a cluster analysis using the existing Euclidean proximity matrix between the different disciplines was utilized. Also, the relative weight (RW) of each discipline was used on the rest of the events and the resulting groupings. The results showed that five clearly-differentiated groups appeared in the decathlon: Group 1: 100 meters, 400 meters, 110 meters Hurdles, Long Jump and Pole Vault (RW= 53.8%); Group 2: High Jump (RW= 9.7%); Group 3: Shot Put and Discus Throw (RW=18.6%) Group 4: Javelin Throw (RW=9.2%) and Group 5. 1500 meters (RW=8.4%). The study proposes that discovering and precisely determining the groups of events in a decathlon allows the possibility to apply efficient principles to optimize the training process in this athletic event

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