Data-Driven Probabilistic S for Batsman Performance Prediction in a Cricket Match

作     者：Fawad Nasim Muhammad Adnan Yousaf Sohail Masood Arfan Jaffar Muhammad Rashid 

作者机构：Superior UniversityLahore54000Pakistan Intelligent Data Visual Computing Research(IDVCR)LahorePakistan National University of TechnologyIslamabad44000Pakistan 

出 版 物：《Intelligent Automation & Soft Computing》 (智能自动化与软计算（英文）)

年 卷 期：2023年第36卷第6期

页      面：2865-2877页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

基　　金：Superior University 

主　　题：Probabilistic matrix hidden markov model batsman performance prediction 

摘      要：Batsmen are the backbone of any cricket team and their selection is very critical to the team’s success.A good batsman not only scores run but also provides stability to the team’s *** most important factor in selecting a batsman is their ability to score *** is a generally accepted notion that the future performance of a batsman can be predicted by observing and analyzing their past *** hypothesis is based on the fact that a player’s batting aver-age is generally considered to be a good indicator of their future *** proposed a data-driven probabilistic system for batsman performance prediction in the game of *** captures the dependencies between the runs scored by a batsman in consecutive *** system is evaluated using a dataset extracted from the Cricinfo *** system is based on a Hidden Markov model(HMM).HMM is used to generate the prediction model to foresee players’upcoming *** first-order Markov chain assumes that the probabil-ity of a batsman scoring runs in the next ball is only dependent on how many runs he scored in the current *** use a data-driven approach to learn the para-meters of the HMM from data.A probabilistic matrix is made that predicts what scores the batter can do on the upcoming *** results show that the system can accurately predict the runs scored by a batsman in a ball.