Manuscript Number : CSEIT2063195
Cricket Prediction using Machine Learning Algorithms
Authors(5) :-Sudhanshu Akarshe, Rohit Khade, Nikhil Bankar, Prashant Khedkar, Prof. Prashant Ahire 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.
Sudhanshu Akarshe Prediction System, Historical Match Data. Publication Details Published in : Volume 6 | Issue 3 | May-June 2020 Article Preview
Student, Department of Computer, D Y Patil Institute of Technology, Pimpri, Savitribai Phule Pune University, Pune, Maharashtra, India
Rohit Khade
Student, Department of Computer, D Y Patil Institute of Technology, Pimpri, Savitribai Phule Pune University, Pune, Maharashtra, India
Nikhil Bankar
Student, Department of Computer, D Y Patil Institute of Technology, Pimpri, Savitribai Phule Pune University, Pune, Maharashtra, India
Prashant Khedkar
Student, Department of Computer, D Y Patil Institute of Technology, Pimpri, Savitribai Phule Pune University, Pune, Maharashtra, India
Prof. Prashant Ahire
Professor, Department of Computer, D Y Patil Institute of Technology, Pimpri, Savitribai Phule Pune University, Pune, Maharashtra, India
Date of Publication : 2020-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1128-1131
Manuscript Number : CSEIT2063195
Publisher : Technoscience Academy
Journal URL : https://res.ijsrcseit.com/CSEIT2063195
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