Women's wheelchair basketball lineup analysis at the Tokyo 2020 paralympic games: game related statistics explaining team sport performance

被引:3
|
作者
Becerra-Munoz, William [1 ]
Wang, Jiahui [2 ]
Perez-Tejero, Javier [1 ]
机构
[1] Univ Politecn Madrid, Fac Phys Act & Sport Sci INEF, Dept Hlth & Human Performance, Fdn Sanitas Chair Inclus Sport Studies CEDI, Madrid 28040, Spain
[2] Katholieke Univ Leuven, Fac Movement & Rehabil Sci, Leuven, Belgium
来源
关键词
game statistics; disability sport; paralympic sport; team performance; team sport; lineup analysis;
D O I
10.3389/fspor.2023.1281865
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
IntroductionPerformance analysis through game-related statistics in wheelchair basketball (WB) has focused mainly on the study of the individual efficiency of players according to their functional classification. However, there is little evidence focusing on lineup performances (five players on court) and their composition. Thus, the objective of present study was to analyze the efficiency of the women's WB lineups used during the Tokyo 2020 Paralympic Games (PG) and to determine the variables that best discriminated the lineup performances according to the final point differential.MethodsThe sample comprised 507 lineups used in the 31 games by the 10 national teams during the competition. Fifty-one different lineup types (LTs) were categorized. A discriminant analysis was carried out to compare the lineups with a positive and negative point difference according to the game type (balanced and unbalanced games).ResultsIt was found that LTs 16 (1-1.5-2.5-4-4.5), 47 (1-2-2.5-4-4.5) and 14 (1-1.5-2.5-4.5-4.5) had the best means of efficiency in field goals (LT 16 = 52%; LT 47 = 44% and LT = 40%), while LT 50 (1-2-3-4-4) obtained the highest mean difference in points (3.67 +/- 10.67). The variables that best discriminated winner teams in balanced games were field goal efficiency (SC = 0.55), assists (SC = 0.50) and turnovers (SC = -0.41).DiscussionField goal efficiency, assists, turnovers and steals are the game-related statistics most associated with the success of a lineup used in balanced games in WB in PG competition; this could be taken into account by coaches when deciding how to compose a given lineup in a moment of the game, to adequately select players from different functional classifications for the final squad and to choose training content related to the indicated game-related statistics, as they explain success at this competition level.
引用
收藏
页数:9
相关论文
共 32 条
  • [21] TIME-MOTION ANALYSIS OF ITALIAN ELITE WOMEN'S BASKETBALL GAMES: INDIVIDUAL AND TEAM ANALYSES
    Conte, Daniele
    Favero, Terence G.
    Lupo, Corrado
    Francioni, Fabio M.
    Capranica, Laura
    Tessitore, Antonio
    JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2015, 29 (01) : 144 - 150
  • [22] Comparisons of tactical and technical performance factors between winners and non-winners in Para Taekwondo: A comprehensive analysis of the 2020 Tokyo Paralympic Games
    Park, Chan-Ho
    O'Sullivan, David Michael
    Kim, Moo Sung
    An, Ye-Jin
    Jung, Hyun Chul
    JOURNAL OF SPORTS SCIENCES, 2024,
  • [23] Game related statistics discriminating between starters and nonstarters players in Women's National Basketball Association League (WNBA)
    Gomez, Miguel. A.
    Lorenzo, Alberto
    Ortega, Enrique
    Sampaio, Jaime
    Ibanez, Sergio. J.
    JOURNAL OF SPORTS SCIENCE AND MEDICINE, 2009, 8 (02) : 278 - 283
  • [24] The participating team's technical analysis of women's basketball in the 30th Olympic Games based on neural network
    Wu, Liang
    Journal of Chemical and Pharmaceutical Research, 2013, 5 (11) : 152 - 158
  • [25] Discriminatory Power of Women's Handball Game-Related Statistics at the Olympic Games (2004-2016)
    Saavedra, Jose M.
    Thorgeirsson, Sveinn
    Chang, Milan
    Kristjansdottir, Hafrun
    Garcia-Hermoso, Antonio
    JOURNAL OF HUMAN KINETICS, 2018, 62 (01) : 221 - 229
  • [26] Interactions between Stress Levels and Hormonal Responses Related to Sports Performance in Pro Women's Basketball Team
    Miguel-Ortega, Alvaro
    Calleja-Gonzalez, Julio
    Mielgo-Ayuso, Juan
    JOURNAL OF FUNCTIONAL MORPHOLOGY AND KINESIOLOGY, 2024, 9 (03)
  • [27] Variability Analysis in Judo Para Athletes With Visual Impairments: Match-Outcome Performance in the Tokyo 2020 Paralympic Games With Evidence From the New Classification System
    Kons, Rafael Lima
    Santos, Danilo Franca Conceiceao dos
    Carvalho, Raiane
    Silva, Adriano Ferreira da
    Lopes-Silva, Joao Paulo
    Franchini, Emerson
    Detanico, Daniele
    ADAPTED PHYSICAL ACTIVITY QUARTERLY, 2024, 41 (03) : 365 - 381
  • [28] Changing the game: the legal framework for the laws of the game, management of human performance data and related safety considerations in women’s professional sport
    John Didulica
    The International Sports Law Journal, 2019, 18 : 114 - 135
  • [29] Changing the game: the legal framework for the laws of the game, management of human performance data and related safety considerations in women's professional sport
    Didulica, John
    INTERNATIONAL SPORTS LAW JOURNAL, 2019, 18 (3-4): : 114 - 135
  • [30] Elite sport policies and international sporting success: a panel data analysis of European women's national football team performance
    Valenti, Maurizio
    Scelles, Nicolas
    Morrow, Stephen
    EUROPEAN SPORT MANAGEMENT QUARTERLY, 2020, 20 (03) : 300 - 320