主办单位:成都体育学院
ISSN 1001-9154 CN 51-1097/G8

成都体育学院学报 ›› 2020, Vol. 46 ›› Issue (6): 100-106.doi: 10.15942/j.jcsu.2020.06.016

• 运动人体科学与运动训练 • 上一篇    下一篇

“全数据”驱动下篮球教练员科学决策的案例分析——以2018-2019赛季CBA联赛广东男篮为例

张铭鑫1, 王新雷2, 练碧贞3, 张遥磊3, 徐霄3, 李辉3   

  1. 1.上海体育学院体育教育训练学院,上海 200438;
    2.宁波大学体育学院,浙江 宁波 315211;
    3.北京体育大学中国篮球运动学院,北京 100084
  • 收稿日期:2019-07-23 修回日期:2020-04-24 出版日期:2020-11-15 发布日期:2020-11-26
  • 通讯作者: 练碧贞,博士,教授,博士生导师,研究方向:篮球专项教学与训练。E-mail:lian_bizhen@163.com。
  • 作者简介:张铭鑫,博士,博士后,研究方向:篮球技战术分析与教练员执教。E-mail:lovercheche@163.com。
  • 基金资助:
    上海市人类运动能力开发与保障重点实验室(11DZ 2261100);中央高校基本科研业务专项资金资助课题(2017YB033)。

Case Analysis of Basketball Coaches' Scientific Decision-making Driven by "All Data" ——Taking Guangdong Men's Basketball Team in the 2018-2019 CBA League Season as an Example

ZHANG Mingxin1, WANG Xinlei2, LIAN Bizhen3, ZHANG Yaolei3, XU Xiao3, LI Hui3   

  1. 1. School of Physical Education & Training of Shanghai University of Sport,Shanghai 200438;
    2. School of Physical Education of Ningbo University, Ningbo 315211;
    3. China Basketball College of Beijing Sport University
  • Received:2019-07-23 Revised:2020-04-24 Online:2020-11-15 Published:2020-11-26

摘要: 本文选取2018-2019赛季CBA联赛广东男篮的成功案例,通过文献资料搜索、专家访谈和实地调研后,对“全数据”驱动下广东男篮教练员科学决策的典型案例进行剖析,揭示广东男篮成功的原因,探究教练员科学决策的实现路径。通过研究发现,实现“全数据”驱动下的科学决策首先需提升主教练执教理念,打造完整的教练团队;其次,形成决策流程化,严格控制信息收集、处理、分析、策略生成和方案实施等环节;最后,结合科技手段,提升决策相关信息的处理效率和准确性,实现科学决策。

关键词: 全数据, 科学决策, 教练员, CBA联赛, 广东男篮

Abstract: This research chose the successful cases of the Guangdong Men's Basketball Team in the 2018-2019 CBA Season to analyze, by the methods of literature research, expert interview and field research, the typical cases of "all data"- driven scientific decision-making of Guangdong Men's basketball team coaches, revealing the reason for the team's success is and explore coaches' path of scientific decision-making. The research shows that the primary task for basketball coaches to make "all data" driven decision-making is to improve the coaching philosophy and build a complete coaching team. Secondly, form standard decision-making operation process, and strictly control information collection, processing, analysis, strategy generation and program implementation. Finally, combined with scientific and technological methods, improve the processing efficiency and accuracy of decision-related information to make scientific decision-making.

Key words: all data, scientific decision-making, coach, CBA league, Guangdong Men's basketball team

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