Machine Learning-Based Score Prediction for IPL Matches: A Comprehensive Analytical Approach
Abstract
Cricket is not just a sport but a blend of strategic planning and on-field performance. The Indian Premier League (IPL), being one of the most celebrated cricket leagues globally, attracts immense attention from fans, analysts, and stakeholders. This research focuses on developing a machine learning-based predictive model for forecasting IPL match scores. By analysing historical data, team compositions, player statistics, and environmental factors, the study presents a systematic approach to creating accurate predictions. The model's effectiveness is evaluated using various machine learning algorithms, making this study a stepping stone for sports analytics.
References
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Applications. 2022 Dec 15;10:100435. Available from: https://www.sciencedirect.com/science/article/pii/ S2666827022001104
2. O’Donoghue P, Cullinane A. A regression-based approach to interpreting sports performance. International
Journal of Performance Analysis in Sport. 2011 Aug 1;11(2):295-307. Available: https://www.tandfonline. com/doi/abs/10.1080/24748668.2011.11868549
3. Alred GJ, Brusaw CT, Oliu WE. Handbook of technical writing. Macmillan; 2009.
4. Vishwarupe V, Bedekar M, Joshi PM, Pande M, Pawar V, Shingote P. Data analytics in the game of cricket: A novel paradigm. Procedia Computer Science. 2022 Jan 1;204:937-44. Available: https://www.sciencedirect.
com/science/article/pii/S1877050922008523
Published
2025-07-03
How to Cite
MAHTO, Shankarprasad; GUPTA, Pawan.
Machine Learning-Based Score Prediction for IPL Matches: A Comprehensive Analytical Approach.
Journal of Advanced Research in Applied Artificial Intelligence and Neural Network, [S.l.], v. 9, n. 2, p. 21-23, july 2025.
Available at: <http://www.thejournalshouse.com/index.php/neural-network-intelligence-adr/article/view/1540>. Date accessed: 06 july 2025.
