Beginner

Dice Calculator — Expected Value & Statistics

Enter the number of dice, sides per die, and any flat modifier to see the mean, min, max, variance, and standard deviation of the roll total.
4=d4 · 6=d6 · 8=d8 · 10=d10 · 12=d12 · 20=d20 · 100=d%
Added to the total roll (positive or negative integer)
Expected value (mean)
7

Average result of 2d6

Minimum possible
2
Maximum possible
12
Range (max − min)
10
Variance
5,833
Std deviation (σ)
2,415
Modal probability
16,667%
212Normal approximation of dice sum — mean ± 1σ / 2σ bands, min & max marked
Step by step
  1. 1

    Single die expected value

    (s + 1) ÷ 2 = (6 + 1) ÷ 2 = 3,5
  2. 2

    Dice sum expected value

    n × (s + 1) ÷ 2 = 2 × 3,5 = 7
  3. 3

    Per-die variance

    (s² − 1) ÷ 12 = (36 − 1) ÷ 12 = 2,9167
  4. 4

    Standard deviation

    √(n × per-die variance) = √(2 × 2,9167) = 2,42
Výsledky jsou pouze orientační odhady pro obecné informační účely a nejsou odborným poradenstvím — důležité výsledky si vždy nezávisle ověřte, než se na ně spolehnete. Přečíst si úplné právní upozornění.
Rychlá odpověď

Jak tato kalkulačka funguje?

For n dice with s sides and modifier m: mean = n(s+1)/2 + m, variance = n(s²−1)/12, std dev = √variance. Min = n+m, max = n·s+m. The bell-curve approximation works well for 3+ dice. For 2d6+0 the mean is 7 and the standard deviation is about 2.42.

Vzorec
Mean = n(s+1)/2 + mod; Variance = n(s²−1)/12; Std dev = √Variance; Min = n + mod; Max = n·s + mod
How this is calculated

For a fair s-sided die, every face from 1 to s is equally likely, so the expected value of one die is (s+1)/2. Rolling n independent identical dice multiplies both the mean and the variance by n, giving mean = n(s+1)/2 and variance = n(s²−1)/12. A flat modifier shifts the mean by a constant without changing the spread. Standard deviation is the square root of variance.

The minimum possible total is n (all dice show 1) plus any modifier, and the maximum is n·s (all dice show the highest face) plus any modifier. By the central limit theorem, the distribution of a dice-sum approaches a normal bell curve as n grows — the approximation becomes quite close for n ≥ 3 even for small s, and is excellent for n ≥ 10.

For dice expressions where n·s ≤ 500 total outcomes, the calculator uses the exact convolution distribution to find the probability of the modal (most-likely) sum. All dice are assumed to be fair and independent; fractional modifier values are not meaningful for integer dice rolls and should be entered as integers.

Často kladené otázky

Mean = n(s+1)/2 = 2×(6+1)/2 = 7. Seven is the most likely result with 2d6, appearing with probability 6/36 ≈ 16.7%.

A constant modifier shifts the mean, minimum, and maximum by exactly that amount, but leaves the variance and standard deviation unchanged. Adding +3 to 2d6 gives mean 10, min 5, max 15, but the same standard deviation ≈ 2.42.

About 68% of rolls land within ±1 standard deviation of the mean, and about 95% within ±2. A larger standard deviation means more variability and less predictable results. High-variance rolls (many-sided dice) are wilder than low-variance ones.

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APA

TG we-Calculate Editorial Team. (2026). Dice Calculator — Expected Value & Statistics [Online calculator]. TG we-Calculate. https://we-calculate.com/cs/calculator/dice-calculator

Chicago

TG we-Calculate Editorial Team. "Dice Calculator — Expected Value & Statistics." TG we-Calculate. 2026. https://we-calculate.com/cs/calculator/dice-calculator.

IEEE

TG we-Calculate Editorial Team, "Dice Calculator — Expected Value & Statistics," TG we-Calculate, 2026. [Online]. Available: https://we-calculate.com/cs/calculator/dice-calculator

BibTeX

@misc{wecalculate_dice_calculator, title = {Dice Calculator — Expected Value & Statistics}, author = {{TG we-Calculate Editorial Team}}, howpublished = {\url{https://we-calculate.com/cs/calculator/dice-calculator}}, year = {2026}, note = {TG we-Calculate} }

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