Finding Your Feet: A Gaussian Process Model for Estimating the Abilities of Batsmen in Test Cricket

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