Rain is part of cricket in South Asia, especially during the monsoon and early winter. When a limited-overs match is shortened, the umpires and scorers announce a new target that often seems strange: why does a team need a certain number of runs from fewer overs, rather than a simple proportion? The answer is the Duckworth-Lewis-Stern method, usually called DLS. This guide explains the idea behind it without heavy maths.

Why a simple average does not work

Imagine a team needs a big total from a full innings, and rain cuts the chase in half. Halving the target sounds fair, but it is not. A team chasing with all ten wickets in hand over fewer overs can bat far more aggressively, because it does not need to protect wickets for later. A simple run-rate rule would hand a huge advantage to the chasing side. DLS was designed to fix that.

The key idea: resources

DLS treats a batting team as having two resources: overs remaining and wickets in hand. At the start of an innings, a team has all of both. As overs are bowled and wickets fall, its resources shrink. The method uses tables, built from the results of many real matches, that show what percentage of total resources a team has left for every combination of overs and wickets.

When rain interrupts, the scorers compare the resources each team had. If the chasing side has fewer resources than the side that batted first, its target is reduced in proportion. If it has more, the target can actually increase.

Why wickets matter so much

Wickets are central to the calculation. A team that loses early wickets has used a large part of its resources, even if it has scored quickly. That is why the par score shown on television during a rain delay can change sharply after a wicket. A side ahead on run rate might be behind on DLS because it has lost too many batters.

What “par score” means

During a chase, broadcasters show a par score. This is the score the chasing team would need at that moment, with its current wickets lost, to be level if the match ended there. If the batting team is above par when play is finally abandoned, it wins. If it is below, it loses. Captains and coaches keep a close eye on this number whenever dark clouds appear, and batters sometimes change their approach to stay ahead of par.

Where the Stern comes in

The original method was created by statisticians Frank Duckworth and Tony Lewis and first used in international cricket in the late nineties. Later, Australian statistician Steven Stern updated the tables to reflect modern scoring, especially the faster batting seen in recent decades. The method was renamed Duckworth-Lewis-Stern to recognise his work. The tables continue to be reviewed so that they keep up with how the game is played.

Minimum overs for a result

A result can only be declared if both sides have had a minimum number of overs. In ODIs this is usually twenty overs per side, and in T20 internationals it is five overs per side, though tournament rules can vary. If that minimum is not reached, the match is declared a no result.

Common misunderstandings

  • DLS does not punish the team batting first; it tries to balance both sides fairly.
  • A revised target can sometimes be higher than the original score, when the second team has more resources.
  • The method uses wickets as well as overs, so run rate alone never tells the full story.

Follow the rules, not rumours

Rain-hit matches often produce confusing claims on social media about who “should” have won. The best approach is to check the official scorecard and the announced target. That habit is useful elsewhere too: reading master agent roles explained and checking the correct site link helps Bangladeshi readers avoid acting on screenshots and forwarded messages without context.

Summary

The DLS method sets fair targets by measuring the resources each team had: overs and wickets. It explains why wickets matter so much in a rain-affected chase and why par scores change from ball to ball. The next time rain stops play, watch the par score, and you will understand exactly what both captains are thinking.

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Last Update: October 23, 2026