Dls Modern Target Calculator
Our cricket calculator computes dls modern target instantly. Get accurate stats with historical comparisons and benchmarks.
Calculator
Adjust values & calculateFormula
The DLS method compares the resources (overs and wickets) available to each team. Resources are expressed as percentages from a lookup table. The revised target scales the first team's score by the ratio of resources available to each team, ensuring a fair contest when overs are lost to interruptions.
Last reviewed: December 2025
Worked Examples
Example 1: Rain-Shortened ODI Match
Example 2: Mid-Innings Interruption
Background & Theory
The Dls (modern) Target applies the following established principles and formulas. Sports statistics and performance metrics represent one of the most data-rich domains of applied mathematics available to the general public. Baseball, in particular, has developed an exceptionally dense vocabulary of calculated metrics. Earned run average (ERA) quantifies a pitcher's effectiveness as (earned runs × 9) / innings pitched, normalising performance to a nine-inning standard regardless of how many complete games were pitched. WHIP, or walks and hits per inning pitched, is computed as (walks + hits) / innings pitched and provides a complementary measure of how frequently a pitcher allows baserunners. Batting average, one of the oldest statistics in the sport, is simply hits / at-bats, though more modern metrics such as on-base percentage and slugging percentage have largely supplanted it as primary performance indicators. The NFL passer rating formula is considerably more complex, combining completion percentage, yards per attempt, touchdown rate, and interception rate into a composite score scaled to a 0–158.3 range. Golf handicap calculation, now governed by the World Handicap System introduced in 2020, uses a Handicap Differential formula applied to the best 8 of a player's most recent 20 score differentials, with adjustments for course rating and slope. The Elo rating system, originally developed by physicist Arpad Elo for chess ranking in the 1960s, has become a widely adopted framework for competitive ranking in sports ranging from football to table tennis. It updates each player's rating after every match based on the margin of expected versus actual result. In endurance sports, pace calculation converts total time to a per-mile or per-kilometre rate, informing training intensity and race strategy. In cycling, power-to-weight ratio (watts per kilogram) is the primary determinant of climbing performance and is central to both professional race analysis and amateur fitness tracking. Fantasy sports scoring systems synthesise multiple individual statistics into aggregate point totals, requiring participants to understand the relative value of different performance categories across sports.
History
The history behind the Dls (modern) Target traces back through the following developments. Organised athletic competition has roots extending to ancient Greece, where the Olympic Games were held at Olympia beginning around 776 BCE. These early games were embedded in religious observance and civic identity, featuring events such as sprinting, wrestling, and the pentathlon. The codification of modern sport rules accelerated dramatically in 19th century Britain, where industrialisation created both the leisure time and the institutional infrastructure for organised competition. The Football Association formalised the rules of association football in 1863, and similar governing bodies for cricket, rugby, tennis, and athletics followed in subsequent decades. Pierre de Coubertin, a French educator inspired by the English model of sport as character-building, campaigned to revive the Olympic Games as a modern international institution. The first modern Summer Olympics were held in Athens in 1896, establishing the template for international multi-sport competition that has continued to the present. FIFA, the international governing body for association football, was founded in Paris in 1904 with seven member nations. The serious statistical analysis of baseball, later termed sabermetrics, was pioneered by writers and analysts including Bill James beginning in the late 1970s. James self-published his Baseball Abstract annuals starting in 1977, introducing rigorous empirical methods to a domain previously dominated by traditional counting statistics and subjective scouting. His work influenced a generation of analysts and front-office executives. The publication of Michael Lewis's Moneyball in 2003, documenting the Oakland Athletics' 2002 season and their use of on-base percentage and other undervalued metrics, brought sports analytics to mainstream attention. The subsequent analytics revolution reshaped hiring practices and game strategy across professional sports leagues. Fantasy sports, which require participants to engage directly with statistical outputs, grew from a hobby practised by a few thousand enthusiasts in the 1980s into a multi-billion dollar industry by the 2010s, with tens of millions of participants across football, baseball, basketball, and other sports.
Frequently Asked Questions
Formula
Revised Target = Team1 Score x (Team2 Resources / Team1 Resources) + 1
The DLS method compares the resources (overs and wickets) available to each team. Resources are expressed as percentages from a lookup table. The revised target scales the first team's score by the ratio of resources available to each team, ensuring a fair contest when overs are lost to interruptions.
Worked Examples
Example 1: Rain-Shortened ODI Match
Problem: Team A scores 280 in 50 overs. Rain reduces Team B's innings to 40 overs. What is the revised DLS target?
Solution: Team A used 100% resources (50 overs, 10 wickets).\nTeam B has approximately 89.3% resources available (40 overs, 10 wickets).\nResource ratio = 89.3% / 100% = 0.893.\nRevised par score = 280 x 0.893 = 250.\nRevised target = 250 + 1 = 251.
Result: Team B needs 251 runs to win from 40 overs (RRR: 6.28)
Example 2: Mid-Innings Interruption
Problem: Team A scored 280/10 in 50 overs. Team B is 85/2 after 15 overs when rain stops play. 10 overs are lost. What is the revised target?
Solution: Team A resources: 100% (full 50 overs).\nTeam B original resources: 100% (50 overs, 10 wickets).\nResources at interruption (15 overs used, 2 wkts lost): calculated from resource table.\nResources lost due to delay: resources at 35 overs/2 wkts - resources at 25 overs/2 wkts.\nRevised target = 280 x (adjusted resource ratio) + 1.
Result: Revised target accounts for lost overs while crediting runs already scored
Frequently Asked Questions
What is the DLS Modern method in cricket?
The Duckworth-Lewis-Stern (DLS) Modern method is the current standard system used in limited-overs cricket to calculate revised targets when a match is interrupted by rain or other factors. It replaced the older Duckworth-Lewis method and was updated by Professor Steven Stern, hence the addition of his name. The modern version uses a more sophisticated mathematical model that better accounts for scoring patterns in contemporary cricket, where batsmen tend to score more aggressively in the later overs. It considers the resources available to each team based on overs and wickets remaining to produce a fair revised target.
How does the DLS method calculate revised targets?
The DLS method calculates revised targets by comparing the resources available to both teams. Resources are determined by two factors: the number of overs remaining and the number of wickets in hand. Each combination of overs and wickets corresponds to a specific resource percentage from a detailed lookup table. If Team 2 has fewer resources available than Team 1 used, the target is scaled down proportionally. If Team 2 has more resources, runs are added to the target using the G50 value, which represents the average score in a 50-over innings. The revised target ensures both teams face a proportionally fair challenge.
What are resources in the DLS system?
In the DLS system, resources represent a team's remaining batting potential expressed as a percentage. A team starting a 50-over innings with all 10 wickets has 100% of its resources. As overs are bowled and wickets fall, the available resources decrease. Losing wickets has a greater impact on resources when many overs remain compared to when few overs are left. Similarly, losing overs has more impact when all wickets are intact versus when several are already gone. The resource table contains values for every possible combination of overs remaining (0 to 50) and wickets lost (0 to 9), allowing precise calculations for any match situation.
Why was the original DLS method updated to the modern version?
The original Duckworth-Lewis method was updated because scoring patterns in cricket evolved significantly over the years. Batsmen became more aggressive, particularly in the middle and death overs, making the original resource percentages less accurate. Professor Steven Stern revised the mathematical model to reflect modern batting strategies, where teams frequently score at much higher rates in the final 10 overs compared to historical averages. The modern method also improved handling of situations involving multiple interruptions and addressed edge cases where the original formula could produce counterintuitive results. The ICC formally adopted the updated DLS method in 2014.
When is the DLS method applied during a cricket match?
The DLS method is applied whenever a limited-overs cricket match (ODI or T20) is interrupted and the overs available to either team are reduced below their original allocation. Common triggers include rain delays, bad light stoppages, or other weather-related interruptions. The method can be applied at any point during either innings and can handle multiple interruptions within the same match. It is also used when the first innings is shortened and the second innings receives a different number of overs. Match referees and scorers use official DLS software provided by the ICC to calculate the revised targets in real time.
What is par score in DLS calculations?
The par score is the number of runs that the team batting second needs to have scored at any point during their innings to be considered level with the team that batted first, given the resources used up to that moment. If the match is abandoned at any stage during the second innings, the result is determined by comparing the actual score with the par score at that point. If the batting team is ahead of par they win; if behind, they lose. The par score changes after every ball bowled and every wicket taken, making it a dynamic benchmark that reflects the current match situation in real time.
References
Reviewed by Sher, Sports Science & Nutrition Specialist · Editorial policy