A Review of Data Analytic Schemes for Prediction of Vivid Aspects in International Cricket Matches

Cricket is among the most popular game of the planet. It has all the potential to grab the attention of sports-persons, spectators, financial institutions, and thus ultimately the researchers. Data mining approaches, being the backbone, several prediction schemes and analytics have been presented related to cricket. In this paper, we intend to present a vivid review of several important data mining schemes specifically meant for analytics related to cricket matches that are reported in the literature. The review is made in three distinct approaches based on the format of cricket matches played around the world. These are the one-day matches, T-20 matches, and test matches. Finally, comparative analysis have also been made and are presented separately for all the three formats among the available schemes. Suitable discussion is presented at the end of the paper that may be utilized in the direction of future works.