Optimal IPL Playing 11 Team Selection

Since the inception of the Indian Premier League (IPL), the demand for quality data analysts has increased. The task to pick an ideal playing 11 from a huge squad is a real challenge and picking the best team can greatly improve a team’s chances of winning. This project aims to predict the best possible playing 11 from a given set of players taking into consideration a number of factors like runs scored, runs conceded, strike rate, dot balls bowled etc. and this is essential as it can help pick an optimal eleven. Not only are the best batsmen and bowlers predicted but also the all-rounders which give a real balance to the team. Three models have been tested- XGBoost, Linear Regression and Random Forest. Linear Regression yields better results since it gives the least RMSE value.