A Machine Learning Approach to Analyze the Performance of Bangladesh Cricket in T20

Bangladesh is still an underachiever in terms of T20 cricket. Bangladesh has ranked in the least on the table of T20 international ranking. Our study has performed an analysis with K-means clustering to build a framework that shows the overall T20 international progression of Bangladesh cricket team players with the comparison of their playing years and other T20 cricket involvement. We have conducted our experiment with the help of a supervised machine learning algorithm. We have chosen our data set by taking player career statistics, who had debuted for Bangladesh between January 2005 to December 2020 in both test and T20 cricket. Our proposed framework and algorithm have tried to establish a connection of reasoning why Bangladesh cricket men team is not doing well in T20 cricket, what could go wrong. We have found a significant relationship between the playing span of any particular player and his connection with T20 international cricket as well as other T20 cricket. We have been able to group all the Bangladeshi T20 international cricketers into four groups on basis of their performance inT20.