Open AccessCricket Prediction using Machine Learning Algorithms
Author(s) -
Sudhanshu Akarshe,
Rohit Khade,
Nikhil Bankar,
Prashant Khedkar,
Prashant Ahire Prof.
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2063195
Subject(s) - cricket , computer science , victory , outcome (game theory) , machine learning , artificial intelligence , algorithm , test (biology) , mathematics , ecology , mathematical economics , politics , political science , law , biology , paleontology
Cricket is most popular sport played in India. It has huge spectator support and the masses show great interest in predicting the outcome of games in their Test, One-day international as well as in T-20 matches. The game is having number of rules and scoring system. Numerous parameters are present such as, cricketing skills and performances, match venues which has significant effect on the outcome of a game. Such parameters, along with their interdependence create a challenge to create an accurate prediction of a game. In this project, we are going to build a rigid prediction system that takes in historical match data, player performance and predicts future match events such as final results in a victory or loss. Our system will perform this prediction using various machine learning algorithms. We describe our system and algorithms and finally present quantitative results displayed by best suited algorithm having highest accuracy. Also, representing the winning team even before the match starts and provide best suited squad of both teams.