Proposing Competent Team Composition for T20 Cricket Through Data Processing Techniques
Keywords:
Cricket, Twenty-Twenty (T20), Team Prediction, Data Processing, Sports AnalyticsAbstract
In cricket, selecting the best playing XI is an important task to win the game. There are various factors such as venue, performance of batsman and bowler; and opposition that influence the team selection. This project predicts different parameters such as run-rate, strike rate, economy and wickets, and use them for construction of an ideal team; these predictions are done by using various machine learning algorithms namely K nearest neighbor, random forest and gradient boosting which uses the past data for prediction. Different roles require different skill-set from the players. This paper selects players based on the predicted values and suggests a suitable playing XI.
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