Cricket Analysis Using Machine Learning

Cricket Analysis Using Machine Learning

Harjot Kaur1,Vaishnavi Hemade2,Mayur Kondhare3,Koustubh Juvekar4,Prof. Amruta Chitari5

*1, 2, 3,4Student, 5Assistant Professor

Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan,

Savitribai Phule Pune University, Pune, Maharashtra, India

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ABSTRACT

Nowadays we know that cricket is one the most popular and watched sport. Winning in cricket depends on various factors such as  home ground advantage, performances in the past matches, weather conditions, performance at the specific venue, performance against the specific team, pitch condition. So, we have developed a system using machine learning algorithms where our work suggests the best players for the team selection and projection of score.

A subset of artificial intelligence (AI) called machine learning (ML) enables software applications to improve the accuracy of predictive values ​​without further explanation. To predict outcomes, machine learning algorithms use historical data to generate ideas, learn, and analyze. It is a method of making predictions based on machine learning. It is a comprehensive training with all the important things like event information and history, ball loss, hometown, manager, supporters, competition, historical information history and more. They all have different strengths. Finally, our system shows the most accurate and algorithmically relevant results. In addition, it shows how well our algorithm predicts the number of goals, one of the most important aspects of a successful match.

Keywords: Cricket analysis, classification, a machine learning algorithm, and prediction.