In the sport of cricket, as with any other sport, spectators and officials would like the
games to be as fair as possible. To this end, we evaluate methods used to determine
the winner of interrupted games using statistical accuracy. In the traditional One
Day International cricket matches, the current Duckworth–Lewis (DL) method and
the discounted most productive overs (DMPO) method are each used for predicting
the winner. However, with the growing popularity of shorter Twenty20 matches, a
new Bhattacharya–Gill–Swartz (BGS) method has also been introduced. We created
both classical and Bayesian intervals to estimate the true accuracy of each. Using
past game data from 2005–2010, we compared the DL, DMPO and BGS methods
using the new accuracy intervals and receiver operating characteristic (ROC)
curves.