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Duckworth-Lewis Calculator

Calculate fair targets for rain-affected cricket matches

DLS Calculator

Team 1 (Batting First)

Team 2 (Chasing)

DLS Analysis

243
Target to Win
runs required
242
Target to Draw
par score
242.0
Par Score
statistical equivalent

Resources Available

Team 1 Resources:100.0%
Team 2 Resources:90.3%
Resource Ratio:0.903
Interruption Type:Team 2's innings delayed

Match Summary

Team 1 Score:268 runs
Team 1 Overs:50
Team 2 Overs:45
Max Overs:50

DLS Calculation

268 × (90.3% / 100.0%) = 242.00
Formula: Team 2 Par = Team 1 Score × (Team 2 Resources / Team 1 Resources)

Example: Team 2 Cut Short

268
Team 1 Runs
45
Team 2 Overs
85.7%
Team 2 Resources
230
DLS Target

Team 2 used 85.7% resources (6 wickets lost, 5 overs remaining unused)

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DLS Method

Standard Edition
Uses resource percentage table
Available for public use
Based on historical data
Two Resources
Overs available
Wickets in hand
Combined percentage
G50 Value
245 runs (international)
Average first innings score
Adjustable for local cricket
Minimum Overs
20 overs required for ODI
Both teams must face
Valid DLS result

Interruption Types

Delayed Start

Reduced overs from beginning

Early Finish

Match ends due to conditions

Mid-Innings

Play resumes after delay

First Innings

Affects setting the target

Famous DLS Scenarios

England vs South Africa

World Cup 1999 Semi-Final
Situation: South Africa needed 1 run from 1 ball when rain fell
Original: SA: 213/6 (43 overs)
Revised: Target revised to 214 from 43 overs
Result: Match tied, England advanced
Controversial DLS application

India vs Pakistan

Asia Cup 2018
Situation: Rain interrupted Pakistan innings
Original: India: 237/7 (50 overs)
Revised: Pakistan target: 136 from 21 overs
Result: India won by 8 runs (DLS)
Rain changed match dynamics

Australia vs England

Ashes ODI 2020
Situation: Multiple rain delays
Original: Australia: 294/9 (50 overs)
Revised: England target: 231 from 39 overs
Result: England won by 24 runs
DLS enabled fair result

Understanding the Duckworth-Lewis Method

What is DLS?

The Duckworth-Lewis-Stern (DLS) method is a mathematical formula designed to calculate fair targets for the team batting second in rain-affected limited-overs cricket matches. It was developed by Frank Duckworth and Tony Lewis, with Steven Stern taking over in 2014.

The Problem It Solves

  • Rain interruptions: Weather delays affect available overs
  • Aggressive play: Teams change tactics with reduced overs
  • Wicket consideration: Simple run rate doesn't account for wickets
  • Fair targets: Ensures statistically equivalent difficulty

Resource Calculation

  • Overs: Time available to score runs
  • Wickets: Batting resources in hand
  • Combined: Percentage of total resources available
  • Lookup table: Standard Edition uses predefined percentages

DLS Formulas

When Team 2 has fewer resources:

Target = Team 1 Score × (Team 2 Resources / Team 1 Resources)

When Team 2 has more resources:

Target = Team 1 Score + G50 × (Resource Difference / 100)

Pro Tip: The DLS method considers human psychology - teams play more aggressively when they have fewer overs, but this increases the risk of losing wickets. The method balances these two crucial resources to ensure fairness.

Historical Development

  • 1997: Duckworth-Lewis method introduced
  • 2014: Became Duckworth-Lewis-Stern (DLS)
  • Professional Edition: Used for international cricket
  • Standard Edition: Available for public use

Common DLS Scenarios

Delayed Start

  • • Rain before match
  • • Reduced overs for both teams
  • • Simple resource adjustment
  • • Target proportionally reduced

Early Finish

  • • Rain during Team 2's innings
  • • No further play possible
  • • Calculate based on resources used
  • • Account for wickets lost

Mid-Innings Break

  • • Rain interrupts Team 2
  • • Play resumes later
  • • Complex resource calculation
  • • Consider interruption timing

First Innings Affected

  • • Team 1's innings interrupted
  • • May increase or decrease target
  • • Use G50 for extra resources
  • • Most complex scenario
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