在足球中侦察的空间相似性指数
V Gómez-Rubio1, J Lagos2, F Palmí-Perales3
1Universidad de Castilla-La Mancha, Albacete, Spain.
Journal of applied statistics
|November 5, 2025
概括
足球运动员的侦察可以通过使用新的空间相似性指数来改进. 该方法分析球员在球场上的位置,以确定类似的个人资料,以有效识别人才.
科学领域:
- 运动分析 运动分析
- 空间数据分析 空间数据分析
- 足球 (足球) 足球 (足球)
背景情况:
- 球员简介对于足球 (足球) 球探至关重要.
- 现有的方法往往忽略了关键的位置数据.
- 在量化评估基于空间定位的球员相似性方面存在差距.
研究的目的:
- 引入一个新的空间相似性指数,用于足球运动员的个人资料.
- 为了利用空间数据分析来增强玩家识别.
- 展示一种新方法,根据球场位置对球员进行聚类.
主要方法:
- 使用空间数据分析开发空间相似度指数.
- 该指数应用于专业足球运动员的数据集.
- 根据球场上的位置对球员进行分组.
主要成果:
- 一个新的指数有效量化了参与者之间的空间相似性.
- 球员聚类显示出不同的位置分组.
- 该方法成功地确定了具有相似空间配置文件的参与者.
结论:
- 空间数据分析为足球运动员的球探提供了一个有价值的,未被充分利用的维度.
- 拟议的空间相似性指数可以显著帮助识别可比较的玩家配置文件.
- 这种方法通过结合位置动态来增强传统的童子军.
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