Calculate revised cricket targets using the Duckworth-Lewis-Stern method for rain-interrupted limited-overs matches.
The Duckworth-Lewis-Stern (DLS) method is the standard system used in cricket to calculate revised targets in rain-interrupted limited-overs matches. Originally developed by Frank Duckworth and Tony Lewis in 1997, and later refined by Steven Stern, it's now the mandatory method used by the ICC for all international one-day and T20 matches affected by weather delays.
The system works on the principle that a team has two resources available—overs remaining and wickets in hand—and assigns a percentage value to each combination. When overs are lost due to rain, the target is adjusted based on the resources available to each team. This eliminates the unfairness of earlier systems like average run rate or most productive overs.
This calculator implements a simplified version of the DLS standard edition resource table. Enter the match situation when play was interrupted and the reduced overs available, and it calculates the revised target for the chasing team. It also shows par scores at various points in the innings.
DLS matters whenever rain changes the number of overs and wickets available to each side. This calculator keeps the resource table, target adjustment, and par-score logic in one place so the revised chase is easier to follow without trying to reconstruct the math mid-match.
DLS Revised Target = Team 1 Score × (Team 2 Resources / Team 1 Resources) + 1 (if Team 2 has more resources lost). Resource % from standard DLS table based on overs remaining and wickets lost. Par score = Team 1 Score × (Resources Used by Team 2 / Team 1 Total Resources).
Result: Revised target: 253
Team 1 scored 280 in 50 overs (100% resources). Team 2's overs reduced from 50 to 40 (losing 10 overs at 0 wickets = ~10.2% resources lost), leaving ~89.8% resources. Revised target: 280 × 89.8/100 + 1 = 253.
DLS assigns a resource percentage to every overs-remaining and wickets-lost combination. The percentage starts at 100 at the beginning of an innings and falls as overs disappear or wickets are lost. That is what makes a revised target more defensible than a simple run-rate extrapolation.
Earlier rain rules could ignore wickets or overvalue a short scoring burst. DLS was designed to account for both overs and wickets, which makes it a better fit for interrupted limited-overs matches where one team may have had more scoring opportunity than the other.
The target is most meaningful when it is viewed together with the par score and the resource percentages for both sides. That gives fans a clear picture of whether the chase became easier or harder after the interruption, rather than reducing the decision to one raw number.
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This worksheet applies the published cricket scoring or target-adjustment rule for Duckworth-Lewis Calculator. It is intended for scorekeeping and scenario planning rather than officiating decisions.
DLS calculates what percentage of scoring resources each team has (based on overs and wickets). If rain reduces one team's resources, the target is adjusted proportionally so neither team gains an unfair advantage.
Resources are the combination of overs remaining and wickets in hand, expressed as a percentage. A team starting a 50-over innings with 10 wickets has 100% resources. As overs pass and wickets fall, resources decrease.
If the batting team (Team 2) starts with fewer overs but 10 wickets, they have proportionally more firepower per over. If this creates a resource advantage over what Team 1 had when they batted, runs are added to the target.
Yes, DLS is used in T20 internationals and major T20 leagues. The same resource table applies but with only 20 overs. A minimum of 5 overs per side is needed for a valid T20 result.
The DLS (Duckworth-Lewis-Stern) method replaced the original D/L method in 2014 when Steven Stern updated the model. The Professional Edition uses a more complex algorithm than the Standard Edition.
DLS can produce results that feel unjust in certain situations, particularly in T20s where losing a few overs creates larger resource changes. However, it remains the most mathematically fair system available.