Duckworth-Lewis-Stern Method Comparison with Machine Learning Approach
arXiv:2106.00175 · doi:10.1109/FIT47737.2019.00045
Abstract
This work presents an analysis of the Duckworth-Lewis-Stern (DLS) method for One Day International (ODI) cricket matches. The accuracy of the DLS method is compared against various supervised learning algorithms for result prediction. The result of a cricket match is predicted during the second inning. The paper also optimized DLS resource table which is used in the Duckworth-Lewis (D/L) formula to increase its predictive power. Finally, an Unpredictability Index is developed that ranks different cricket playing nations according to how unpredictable they are while playing an ODI match.
The paper has been published in the conference of Frontiers of Information Technology 2019