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Predicting the Team Based on Player Performance and Formation in Sports Match by Machine Learning Approach

Poorva Gadre, Divya Bhat, Fagun Raithatha, Pranesh Agrawal, Abhir Dongare, S. A. Joshi

Abstract


In the field of sports evaluation of player performance and predicting the weight of the player for the formation of a well efficient team is very important. The main aim is to pick the best squad from all the available players. This will help to decide which team of players is the best to play against a particular opponent, perform prediction of the performance of the players in future matches and help team management in preparing the best team. The analysis will involve two factors that is time and data. Time means at this time how the player has performed and data involves the player'’s overall journey till now in all the matches. To implement the proposed model the collected statistical data is processed to numerical value to apply machine learning algorithms. Furthermore, a comparison of different methods and selection of the best method to provide maximum accuracy is been focused.

 


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References


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