Winning the IPL with Data: Machine Learning Powered Match Outcome Predictions

V. Ajitha, Jallepalli Namratha, Gangula Charitha, Danturi Sai Manikanta, Bontha Ranjith Kumar Reddy

2025

Abstract

The challenge addressed is the prediction of match outcomes in the Indian Premier League, a prominent and exciting Twenty20 cricket tournament. This forecast is essential for the strategic benefit of clubs, coaches, and players, as well as for enhancing fan involvement and aiding stakeholders like as sponsors and betting companies. Huge volumes of data are needed on statistics of each player and match results played over time, together with environmental elements like weather conditions. Feature engineering is then undertaken to extract relevant indicators affecting the results of a match. A combination of different machine learning algorithms, such as decision trees, random forests, and KNN, is applied, with the F1 score acting as the key metric for evaluation. This approach distinguishes the research from other studies by showing model performance in projecting contradictory results characteristic of sports. Preliminary data suggest that ensemble strategies, such as random forests, thrashed simpler tactics, earning a large F1 score that signals better prediction reliability. The findings seem to suggest that extensive analysis of data and complex modelling can provide a sound structure for predicting the outcome of IPL matches, which would be very useful for the teams, spectators, and the entire sports analytics landscape. Future improvements could involve bringing in real-time data as well as studying more relevant variables that would strengthen the validity of the proposed model.

Paper Citation

in Harvard Style

Ajitha V., Namratha J., Charitha G., Manikanta D. and Reddy B. (2025). Winning the IPL with Data: Machine Learning Powered Match Outcome Predictions. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 745-749. DOI: 10.5220/0013904800004919

in Bibtex Style

@conference{icrdicct`2525,
author={V. Ajitha and Jallepalli Namratha and Gangula Charitha and Danturi Manikanta and Bontha Reddy},
title={Winning the IPL with Data: Machine Learning Powered Match Outcome Predictions},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={745-749},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013904800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Winning the IPL with Data: Machine Learning Powered Match Outcome Predictions
SN - 978-989-758-777-1
AU - Ajitha V.
AU - Namratha J.
AU - Charitha G.
AU - Manikanta D.
AU - Reddy B.
PY - 2025
SP - 745
EP - 749
DO - 10.5220/0013904800004919
PB - SciTePress