RT info:eu-repo/semantics/article
T1 Match analysis in wheelchair basketball: An observational analysis of the best team in the world (USA) in the 2020 Paralympic Games
A1 Arroyo del Bosque, Rubén
A1 Alsasua, Roberto
A1 Arana, Javier
A1 Lapresa Ajamil, Daniel
A1 Anguera, María Teresa
K1 Deportes
K1 Sports
AB This work shows the possibilities that observational analysis can offer to match analysis in Wheelchair Basketball, outlined in a study of the sequences that end in a shot, in the men's team considered to be the best in the world (USA), in the Tokyo Paralympic Games 2020. Data recording and coding the 527 sequences that end in a shot was carried out via the LINCE software, and inter-rater reliability guaranteed using Cohen's Kappa coefficient. Two diachronic behaviour analysis techniques – lag sequential analysis and T-pattern detection – were applied complementarily, thus allowing us to characterise effective and ineffective sequences. Effective behaviours are highlighted as being those which incorporate a final reception and shot by players with less functional limitation; or those in which the shot is made from the paint. Ineffective behaviours are those carried out by players with greater functional difficulty; or those which end in shots made from the offensive zone and external offensive zone.
PB Sage publications
SN 1747-9541
YR 2023
FD 2023-06
LK http://hdl.handle.net/10259/10472
UL http://hdl.handle.net/10259/10472
LA eng
NO The authors gratefully acknowledge the support of a Spanish government project Integración entre datos observacionales y datos provenientes de sensores externos: Evolución del software LINCE PLUS y desarrollo de la aplicación móvil para la optimización del deporte y la actividad física beneficiosa para la salud [EXP_74847] (2023). Ministerio de Cultura y Deporte, Consejo Superior de Deporte and European Union. In addition, authors thanks the support of the Generalitat de Catalunya Research Group, GRUP DE RECERCA I INNOVACIÓ EN DISSENYS (GRID). Tecnología i aplicació multimedia i digital als dissenys observacionals [Grant number 2017 SGR 1405].
DS Repositorio Institucional de la Universidad de Burgos
RD 16-may-2025