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基于2020年东京残奥会比赛结果的精英轮椅篮球比赛中剧本战术效果与运动员分类之间的关系

Relationship between screen-play scenarios' effectiveness and player classification in elite wheelchair basketball based on match results of Tokyo 2020 Paralympic Games.

作者信息

Yasuda Taku, Tachibana Kaori, Mutsuzaki Hirotaka

机构信息

Center for Medical Sciences, Ibaraki Prefectural University of Health Sciences, Ami, Japan.

Department of Physical Therapy, School of Healthcare, Ibaraki Prefectural University of Health Sciences, Ami, Japan.

出版信息

Front Sports Act Living. 2024 Sep 13;6:1418130. doi: 10.3389/fspor.2024.1418130. eCollection 2024.

DOI:10.3389/fspor.2024.1418130
PMID:39355760
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11443225/
Abstract

BACKGROUND

The competitiveness of wheelchair basketball has increased over time. However, screen-play, considered a vital offensive tactic in running basketball, is still poorly clarified. Therefore, this study aimed to clarify the impact of screen-play on scoring and game results in wheelchair basketball and assess the roles of each player classification (PC).

METHODS

Information regarding screen-play, including 13 categories such as shot success, location, and PC, was recorded for 22 wheelchair basketball games in the Tokyo 2020 Paralympic Games. This information was analyzed using the chi-square test to evaluate the significant differences in the appearance frequency of variables in each category (categorical variable) between the winning and losing teams and the shot-success rate.

RESULTS

Except for PC-related categorical variables, comparing the appearance frequency of the winning and losing teams confirmed a significant difference for screen and pass locations (all  < 0.05). Regarding the shot-success rates of the winning and losing teams, a significant difference in five categories was confirmed, including shot and pass locations (all  < 0.05). Regarding the PC, comparing the appearance frequency of the winning and losing teams confirmed a significant difference for PC of the screener ( < 0.05). Significant differences were found in the shot-success rates of the winning and losing teams in nine, five, three, and four categories regarding the PCs of the shooter, user, screener, and passer, respectively, such as shot location, pass location, and type of screen ( < 0.05, respectively).

CONCLUSION

In wheelchair basketball offenses, it may be effective to consider the following points in the scenario lead-up to a shot: Using two different spaces, in the paint and the 3-point field goal area, could be crucial in screen-play. Improving the accuracy of on-the-ball screen plays appears vital, and using off-the-ball screens could also contribute to winning. Allocating approximately 50% of screeners to the middle-point classification (Middle) players and the rest to the low-point (Low) and high-point (High) classification players, at approximately 25% each, may be practical. Regarding winning team player roles, using High shooters and users; Low, Middle, and High screeners; and Middle and High passers contributed to play success.

摘要

背景

随着时间的推移,轮椅篮球的竞争力有所提高。然而,作为常规篮球中一项重要进攻战术的掩护配合,在轮椅篮球中仍未得到充分阐释。因此,本研究旨在阐明掩护配合对轮椅篮球得分和比赛结果的影响,并评估每个运动员分级(PC)的作用。

方法

记录了2020年东京残奥会22场轮椅篮球比赛中与掩护配合相关的信息,包括投篮命中、位置和PC等13个类别。使用卡方检验对这些信息进行分析,以评估每个类别(分类变量)中变量在胜负球队之间的出现频率以及投篮命中率的显著差异。

结果

除了与PC相关的分类变量外,比较胜负球队的出现频率发现,掩护和传球位置存在显著差异(均P<0.05)。关于胜负球队的投篮命中率,在包括投篮和传球位置在内的五个类别中确认存在显著差异(均P<0.05)。关于PC,比较胜负球队的出现频率发现,掩护者的PC存在显著差异(P<0.05)。在投篮者、使用者、掩护者和传球者的PC方面,分别在九个、五个、三个和四个类别中发现了胜负球队投篮命中率的显著差异,如投篮位置、传球位置和掩护类型(均P<0.05)。

结论

在轮椅篮球进攻中,在投篮前的战术布置中考虑以下几点可能会有效果:在油漆区和三分球区域使用两个不同的空间,这在掩护配合中可能至关重要。提高持球掩护配合的准确性似乎至关重要,使用无球掩护也有助于获胜。将大约50%的掩护者分配给中点分级(Middle)球员,其余的分别以约25%分配给低点(Low)和高点(High)分级球员可能是可行的。关于获胜球队球员的角色,使用高分级的投篮者和使用者;低、中、高分级的掩护者;以及中、高分级的传球者有助于比赛成功。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/35d5a8ecdd98/fspor-06-1418130-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/3ca1cf4af2a0/fspor-06-1418130-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/e0efbcfcaec8/fspor-06-1418130-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/ccdca64bc4f6/fspor-06-1418130-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/addde72a4e2d/fspor-06-1418130-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/35d5a8ecdd98/fspor-06-1418130-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/3ca1cf4af2a0/fspor-06-1418130-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/e0efbcfcaec8/fspor-06-1418130-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/ccdca64bc4f6/fspor-06-1418130-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/addde72a4e2d/fspor-06-1418130-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d5/11443225/35d5a8ecdd98/fspor-06-1418130-g005.jpg

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