Dice Average Calculator

Calculate expected value and average roll for any type of dice with statistical analysis

Calculate Dice Average

Select the type of dice you're using

How many dice are you rolling?

Dice Statistics

3.50
Average Roll
Expected Value
1.71
Standard Deviation
Spread of Results
1
Minimum
Lowest Possible
6
Maximum
Highest Possible

Detailed Analysis

Single Die Average:3.50
Number of Sides:6
Number of Dice:1
Variance:2.92
Range:1 - 6
Total Outcomes:6
Formula Used:(1+6)/2 Ɨ 1

Common Dice Average Chart

Dice1 Die2 Dice3 Dice4 Dice5 Dice
d42.505.007.5010.0012.50
d63.507.0010.5014.0017.50
d84.509.0013.5018.0022.50
d105.5011.0016.5022.0027.50
d126.5013.0019.5026.0032.50
d2010.5021.0031.5042.0052.50

Common Dice Types

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Tetrahedron (d4)

Average: 2.50

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Cube (d6)

Average: 3.50

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Octahedron (d8)

Average: 4.50

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Deltohedron (d10)

Average: 5.50

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Dodecahedron (d12)

Average: 6.50

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Icosahedron (d20)

Average: 10.50

Average Formula

Single Die:

Average = (1 + sides) / 2

Multiple Dice:

Average = single_avg Ɨ num_dice

Standard Deviation:

σ = √(variance Ɨ num_dice)

Applications

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Gaming

Calculate average damage, HP, or skill checks

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Education

Learn probability and statistics concepts

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Game Design

Balance mechanics and difficulty

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Statistics

Expected value and distribution analysis

Understanding Dice Averages and Expected Value

What is Dice Average?

The dice average, also known as expected value, represents the mean outcome you would expect over many rolls. For example, a standard 6-sided die has an average of 3.5, meaning over thousands of rolls, the average result approaches 3.5.

Why Use This Calculator?

  • •Game mechanics balancing and design
  • •Statistical analysis and probability studies
  • •Educational purposes for learning statistics
  • •Predicting outcomes in dice-based activities

Mathematical Foundation

Single Die Expected Value:
E(X) = (1 + n) / 2
where n = number of sides
Multiple Dice:
E(total) = k Ɨ E(single die)
where k = number of dice
Variance:
Var(X) = (n² - 1) / 12
Standard Deviation:
σ = √(k Ɨ Var(X))

Examples

  • d6: Average = (1+6)/2 = 3.5
  • 2d6: Average = 3.5 Ɨ 2 = 7.0
  • d20: Average = (1+20)/2 = 10.5
  • 3d8: Average = 4.5 Ɨ 3 = 13.5