# Duckworth-Lewis-Stern Method Comparison with Machine Learning Approach

arXiv: https://arxiv.org/abs/2106.00175 · HTML: https://mlsanity.com/paper/2106.00175/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 9 references that are in the map.
- First posted on arXiv 1 Jun 2021.

## Built on by (most cited first, 1 of 1)

- [A Fairness Audit of the Duckworth-Lewis-Stern Method: Format-Specific and Gender-Differential Bias, with an Interpretable Calibration Layer for Cricket Target Revision](https://mlsanity.com/paper/2609.04754/) (2026)

## Abstract (arXiv)

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.