2024, Vol. 11, Issue 5, Part F

This paper presents a method aimed at predicting a cricket player’s upcoming match performance by implementing machine learning algorithms. The proposed model consists of statistical data of players of Tamil Nadu Premier League cricket team which has been collected from trusted sports websites, feature selection algorithms univariate selection, and machine learning algorithms such as linear regression, decision tree regressor, random forest, and support vector machine with linear and polynomial kernel. To implement the proposed model, the data is preprocessed into numerical values to implement the algorithms. Furthermore, feature selection algorithms are applied to extract the attributes that are highly correlated to the output feature. The machine learning algorithms are used to predict runs scored by a batsman in the upcoming match. The experimental setup demonstrates that the model gives up to 92.35% accuracy. Therefore, this will help calculate the player’s future performance and thus ensure better team selection for forthcoming cricket matches.