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重视每一个“要点”:确定男子精英轮椅篮球团队成功的关键决定因素

Making Every "Point" Count: Identifying the Key Determinants of Team Success in Elite Men's Wheelchair Basketball.

作者信息

Francis John, Owen Alun, Peters Derek M

机构信息

School of Sport and Exercise Science, University of Worcester, Worcester, United Kingdom.

Faculty of Engineering, Environment and Computing, Coventry University, Coventry, United Kingdom.

出版信息

Front Psychol. 2019 Jul 2;10:1431. doi: 10.3389/fpsyg.2019.01431. eCollection 2019.

Abstract

Wheelchair basketball coaches and researchers have typically relied on box score data and the Comprehensive Basketball Grading System to inform practice, however, these data do not acknowledge how the dynamic perspectives of teams change, vary and adapt during possessions in relation to the outcome of a game. Therefore, this study aimed to identify the key dynamic variables associated with team success in elite men's wheelchair basketball and explore the impact of each key dynamic variable upon the outcome of performance through the use of binary logistic regression modeling. The valid and reliable template developed Francis et al. (2019) was used to analyze video footage in SportsCode from 31 games at the men's 2015 European Wheelchair Basketball Championships. The 31 games resulted in 6,126 rows of data which were exported and converted into a CSV file, analyzed using R (R Core Team, 2015) and subjected to a data modeling process. Chi-square analyses identified significant ( < 0.05) relationships between Game Outcome and 19 Categorical Predictor Variables. Automated stepwise binary regression model building was completed using 70% of the data (4,282 possessions) and produced a model that included 12 Categorical Predictor Variables. The accuracy of the developed model was deemed to be acceptable at accurately predicting the remaining 30% of the data (1,844 possessions) and produced an area under the receiver operating characteristic curve value of 0.759. The model identified the odds of winning are more than double when the team in possession are in a state of winning at the start of the possession are increased five-fold when the offensive team do not use a 1.0 or 1.5 classified player, but are increased six-fold when the offensive team use three or more 3.0 or 3.5 players. The final model can be used by coaches, players and support staff to devise training and game strategies that involve selecting the most appropriate offensive and defensive approaches when performing ball possessions to enhance the likelihood of winning in elite men's wheelchair basketball.

摘要

轮椅篮球教练和研究人员通常依靠比赛统计数据和综合篮球评分系统来指导训练,然而,这些数据并未考虑到球队在控球过程中,其动态视角如何随着比赛结果而变化、各异和调整。因此,本研究旨在确定与精英男子轮椅篮球比赛中球队成功相关的关键动态变量,并通过二元逻辑回归模型探讨每个关键动态变量对比赛结果的影响。使用弗朗西斯等人(2019年)开发的有效且可靠的模板,对2015年男子欧洲轮椅篮球锦标赛31场比赛的SportsCode视频片段进行分析。这31场比赛产生了6126行数据,这些数据被导出并转换为CSV文件,使用R语言(R核心团队,2015年)进行分析,并经过数据建模过程。卡方分析确定了比赛结果与19个分类预测变量之间的显著关系(<0.05)。使用70%的数据(4282次控球)完成了自动逐步二元回归模型构建,生成了一个包含12个分类预测变量的模型。所开发模型在准确预测其余30%的数据(1844次控球)方面的准确性被认为是可接受的,其接收器操作特征曲线下面积值为0.759。该模型表明,当控球球队在控球开始时处于领先状态时,获胜几率会增加一倍多;当进攻球队不使用1.0或1.5级别的球员时,获胜几率会增加五倍;而当进攻球队使用三名或更多3.0或3.5级别的球员时,获胜几率会增加六倍。教练、球员和辅助人员可以使用最终模型来制定训练和比赛策略,即在进行控球时选择最合适的进攻和防守方式,以提高精英男子轮椅篮球比赛获胜的可能性。

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