Volume 19, No. 2, 2022

Artificial Intelligence and Data Analytics in Cricket


Muhammad Ahmad Tahir, Muhammad Tahir Nazeer, Hira Atta, Muhammad Awais Saeed, Asif Munir

Abstract

Cricket, as we all know, is one of the most popular sports in the world. Selection of the right players, team strategy, conditions, and match-ups all play a vital role in the outcome of a cricket match. Each of these factors can be improved with the use of latest technologies. Artificial Intelligence(AI) and Data Science have helped take the game a step forward. Technologies such as Bat Sense, Ball Sensors, Hotspot, Ultra edge and many others have helped bring fairness as well as competitiveness in the game. Latest Machine Learning and Deep Learning techniques have also made the teams smarter while selecting their players, making combinations, deciding strategies and many more. These techniques help predict the performance of batters, bowlers, or even teams as a unit based on their previous performances and different factors. Teams also use strategies on when and where to use specific players. Roles of specific players have been made much clearer with the help of data. Teams such as England Cricket Team, Nottinghamshire County Cricket Club, Multan Sultans and many others have used these techniques and have achieved very quick success with limited resources. This Paper reviews different types of Machine Learning and Deep Learning techniques being used in the Cricketing Industry. Mostly the techniques being used are Linear Regression, K Nearest Neighbors(KNN), Decision Tree and other similar techniques. From the success of different teams, it is clear that data is helping teams go a step ahead of their opponents and is becoming a vital part of their success.


Pages: 10119-10131

Keywords: Data Analytics, Data Science, Cricket, Artificial Intelligence.

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