Sports Data Predictive Analysis using Machine Learning
Author(s):
Samprathi.B.E, Vamshi K V, Naveen Kumar M N, C Anil Kumar, Dipti Patnayak
Keywords:
Abstract
A prediction system is critical for reducing curiosity about anything. Many sports prediction techniques are popular, and data analysis plays an important role in forecasting. Previous attempts in sports data analysis have resulted in the prediction of sports such as football, tennis next shot location prediction, Olympic athlete performance, basketball slam dunk shot frequency, and many more. Cricket prediction is tough due to the numerous variables that might affect the result or outcome of a cricket match. Previously, simple cricket match prediction systems focused just on the venue, ignoring aspects such as weather, stadium size, captaincy, and so on. Factors such as the match's location, pitch, weather conditions, first-pitch batting, and fielding all play a role in forecasting the match's outcome. To predict, suitable models are required, and data mining allows the required information to be extracted from data sets. This project is a review of techniques used for predicting the winners of three different games. The statistical data of the game can be exploited using various machine learning techniques to predict various information related to a particular match namely the result of a particular game, injury of a player, performance of a player in a particular match, spotting new talents in the game, etc. The aim is to accurately predict the winner of a particular game
Article Details
Unique Paper ID: 160167

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 1307 - 1312
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers