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Martín Barcala-Furelos
European University of the Atlantic
Spain
Sergio Benítez García
European University of the Atlantic
Spain
Rodrigo Cagigas Santisteban
European University of the Atlantic
Spain
Cristina García-Romero
Camilo José Cela University; Isabel I University
Spain
Oliver Ramos-Álvarez
University of Cantabria
Spain
https://orcid.org/0000-0001-7255-1555
Vol. 10 No. 2 (2024), Original papers, pages 314-333
DOI: https://doi.org/10.17979/sportis.2024.10.2.10552
Submitted: Mar 1, 2024 Accepted: Apr 17, 2024 Published: May 1, 2024
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Abstract

The objectives of the research were (1) to perform a descriptive analysis to compare jump height and lower body power between basketball and handball players according to gender and (2) to identify the position of the player with the greatest intradepartmental power. A descriptive analysis of jump height and lower body power, a capacity considered decisive in handball and basketball sports, was carried out. By means of the OptoGait® tool, jump height and lower body power were evaluated by means of the countermovement jump test (CMJ) in a total of 49 subjects distributed in 4 teams, 2 basketball teams, one male and one female, and 2 handball teams, one male and one female. The results show that men obtained higher jump and power results than women in both sports, that the parameters of jump height and power between basketball and handball are similar but the higher the category, the higher the jump and power values. For the male gender, the handball position with the highest jump height is the wing and for basketball, it is the small forward, in the female gender, the wingers obtained the highest results in handball as well as the small forward in basketball. However, differences were found in the position with the highest power between genders. The position that obtained the greatest difference in power was the handball pivots and for basketball, the pivots. It is concluded that according to gender there is no difference between sports in athletes from Cantabria. The results do not adjust to the scientific reality, this may be due to the difference in category between the teams of the sample obtained and to the anthropometric profile of the players.

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