International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 5 Issue 6 November-December 2023 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

IPL Score Prediction & Analysis

Author(s) Priyanka Kumbhar, Gaurav Patil, Gaurav Gawarguru, Tejas Nirmal, Nagesh Panchling
Country India
Abstract Cricket, particularly the Indian Premier League (IPL), is known for its unpredictability. In this context, this project tackles the challenge of predicting the total score of an inning in IPL matches using machine learning techniques. By leveraging historical match data, team dynamics, player statistics, and environmental variables, a predictive model is constructed. The system not only delivers score predictions but also offers insights into the critical factors influencing these predictions. The goal is to empower cricket enthusiasts, teams, and broadcasters with a tool that enhances their understanding of match dynamics and aids in making informed predictions. This project represents an exciting intersection of sports, data science, and predictive analytics, with the potential to reshape how cricket fans and professionals engage with the IPL.
Keywords IPL Prediction, CNN, Classification, Deep Learning, LSTM
Field Computer > Data / Information
Published In Volume 5, Issue 6, November-December 2023
Published On 2023-11-03
Cite This IPL Score Prediction & Analysis - Priyanka Kumbhar, Gaurav Patil, Gaurav Gawarguru, Tejas Nirmal, Nagesh Panchling - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8241
Short DOI

Share this