Cricket is one of the most popular sports in the world, with the Indian Premier League (IPL) being one of the most anticipated cricket tournaments. In recent years, there has been a growing interest in analyzing cricket data to understand the performance of individual players and teams. The analysis of cricket data has become an important tool for coaches, team management, and fans, as it allows for a deeper understanding of the game and can provide insights into team strategies and player performances. This project analyzes the performance of players in the Indian Premier League (IPL) using two datasets - IPL auction data and IPL match data. Firstly, we explore the distribution of auction prices of players and identify the highest paid players in the league. We then examine the correlation between the auction prices of players and their performance in IPL matches, considering factors such as batting average and bowling average. Finally, we use the player performance data to predict the winner of the IPL season. This project provides insights into the value of players in the IPL and the factors that contribute to a team's success in the league.