  Duckworth-Lewis (D/L) method is the incumbent rain rule used to decide the
result of a limited overs cricket match should it not be able to reach its
natural conclusion. Duckworth and Lewis (1998) devised a two factor
relationship between the numbers of overs a team had remaining and the number
of wickets they had lost in order to quantify the percentage resources a team
has at any stage of the match. As number of remaining overs decrease and lost
wickets increase the resources are expected to decrease. The resource table
which is still being used by ICC (International Cricket Council) for 50 overs
cricket match suffers from lack of monotonicity both in numbers of overs left
and number of wickets lost. We apply Bayesian inference to build a resource
table which overcomes the non monotonicity problem of the current D/L resource
table and show that it gives better prediction for teams in first innings score
and hence it is more suitable for using in rain affected matches.
