–This research presents a predictive model developed in R to estimate the auction prices of Indian Premier League (IPL) players, based on their performance data and roles. Key performance indicators, such as runs, strike rate, wickets, and economy rate, were analyzed to uncover trends linking player statistics to their market value. The model aims to reduce biases in auction decisions by providing a data-driven approach, offering franchises a more strategic tool for decisionmaking. This study highlights the integration of machine learning techniques in sports analytics to improve the accuracy and fairness of player valuations during IPL auctions.
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