  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.
