Predicting First Innings Score of an IPL Match by Statistical Learning Method
Abstract The Indian Premier League (IPL) is a franchisee-based cricket tournament. In most of the matches of IPL, a constant duel between the batsmen and bowlers is observed. As a batting unit, it becomes the responsibility for any team batting first, to score as many runs, they can so that they can stay ahead of the opponent team. Thus, it is of utmost importance to get formidable first innings total to win a match in IPL. An attempt has been made to predict the final first innings score of a team at different stages of a match. A statistical learning technique has been applied to predict this score. This study primarily focuses on implementing a novel weighted system for wickets lost, so that the prediction can be achieved with minimum error. Introduction As a modern-day cricket tournament, IPL has always been a breeding ground for Data Science researchers and for people from various other technical backgrounds. The objective of this paper is to build predictive models for predicting...