In the sport of cricket, a player’s batting ability is traditionally measured using the batting average. However, the batting average fails to measure both short‐term changes in ability that occur during an innings and long‐term changes in ability that occur between innings due to factors such as age and experience in various match conditions. We derive and fit a Bayesian parametric model that employs a Gaussian process to measure and predict how the batting abilities of cricket players vary and fluctuate over the course of entire playing careers. The results allow us to better quantify and predict the batting ability of a player, compared with both traditional cricket statistics, such as the batting average, and more complex models, such as the official International Cricket Council ratings.

中文翻译：

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找到你的脚：高斯过程模型，用于评估板球运动员的板球能力

在板球运动中，传统上使用击球平均值来衡量球员的击球能力。但是，击球平均值无法同时衡量一局比赛中发生的能力的短期变化和由于年龄和各种比赛条件下的经验等因素而在一局比赛之间发生的能力长期变化。我们推导出并拟合一个贝叶斯参数模型，该模型采用高斯过程来衡量和预测板球运动员的击球能力在整个职业生涯中如何变化和波动。与传统的板球统计数据（例如击球平均值）和更复杂的模型（例如国际板球委员会的官方评分）相比，结果使我们能够更好地量化和预测球员的击球能力。