Physical demands in three different basketball competitions played by the same under-18 players

[EN] The goal of this study was to compare the physical demands of the same team in three different basketball com- petitions (EBA league (EBA), U18 regional league (U18L), and a U18 international tournament (U18T)) during the same season. Data from eleven U18 players (age: 16.92 ± 0.67 years) were...

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Detalles Bibliográficos
Autores: Salazar Cobo, Hugo, García Garrido, Franc, Svilar, Luka, Castellano Paulis, Julián
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/52905
Acceso en línea:http://hdl.handle.net/10810/52905
Access Level:acceso abierto
Palabra clave:basketball
inertial movement analysis
team sport
monitoring
training load
Descripción
Sumario:[EN] The goal of this study was to compare the physical demands of the same team in three different basketball com- petitions (EBA league (EBA), U18 regional league (U18L), and a U18 international tournament (U18T)) during the same season. Data from eleven U18 players (age: 16.92 ± 0.67 years) were collected using inertial movement units. As external load variables, Player Load (PL), accelerations (ACC), decelerations (DEC), changes of direction (COD), and jumps (JUMP) were expressed in their total (t) and high intensity (h) values. The analysis of variances (ANOVA) and effect size (ES, Cohen’s d) with their respective 90% confidence intervals were applied to identify differences between the competitions. U18T showed the highest values in PL, tACC, tDEC, hDEC, tCOD, tJUMP, and hJUMP (small to moderate ES). However, the hACC and hCOD values were greater in EBA (small ES) than in U18L and U18T. In conclusion, all three competitions presented different external load demands for the same group of players. This data could help basketball coaches to optimize the training process based on the competition in which their team plays. Furthermore, data could also indicate the most suitable competition for players’ development.