使用概率椭圆可视化棒球运动员的防守范围

K. Kono, Yoshiro Yamamoto
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引用次数: 0

摘要

在本研究中,我们提出了一种评估和可视化棒球运动员防守能力的方法。场均以防守指标而闻名,但也考虑了其他评价方法。我们将球员的防守范围与击球处理的位置形象化。我们将看到,球员将挑战击出的球,而不能抓住通过可视化。我们使用方差-协方差矩阵对防御范围进行了椭圆估计。概率椭圆表示玩家的虚拟防御范围。我们可以假设这个防御范围的面积是一个指数。因为我们可能会让其他球员处理击球,所以我们在球员之间建立了边界。我们将了解玩家在这条边界上的活动。我们可以通过椭圆估计值和边界来判断玩家的好坏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of baseball player's defensive range using a probability ellipse
In this study, we propose a way to evaluate and visualize defensive ability for baseball players. Fielding average is famous for an index of the defense, but thinks about other evaluation methods. We visualize the defensive range of players with the positions of batted ball processing. We will see that player is going to challenge the batted ball which cannot catch by visualizing. We did an ellipse estimate using a variance-covariance matrix for the visualization of the defensive range. The probability ellipse expresses the virtual defensive range of the player. We can assume the area of this defensive range an index. Because we might leave batted ball processing to other players, we established the border between players. We will understand the activity of the player on this border. We can think about the good or bad of the player by thinking about an ellipse estimate and a border.
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