在日本职业棒球中使用高斯混合集群模型对外野手的分类
Taishi Oda1, Nobuyoshi Hirotsu1
1Graduate School of Health and Sports Science, Juntendo University, Bunkyō, Japan.
Frontiers in sports and active living
|March 6, 2026
概括
这项研究将日本棒球运动员分类,使用击球数据来告知团队策略. 它分析绩效指标,以确定替代和交易决策的参与者群体.
科学领域:
- 运动分析 运动分析
- 棒球表现指标 棒球表现指标
背景情况:
- 分析了2020赛季327名日本职业棒球 (NPB) 球员的全面击球数据.
- 使用了DELTA公司提供的115个不同的击球性能指数.
研究的目的:
- 开发一种用于对日本职业棒球运动员进行分类的新型分析框架.
- 识别可以为球队更换和交易策略提供信息的球员分组.
主要方法:
- 115个击球表现指数根据DELTA的方法分为八个类别.
- 选择了72名球员的子集,他们的Wins Above Replacement (WAR) 值为1.0或更高,用于集中分析.
主要成果:
- 为日本职业棒球运动员建立了一个分类框架.
- 根据全面的击球表现确定了球员分组.
结论:
- 开发的框架为玩家绩效分类提供了洞察力.
- 这些发现可以帮助棒球队做出关于球员人员的战略决策.
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