Dice probability

Exact odds for any number of dice, any number of sides, any target sum.

Up to 12

Rolling 2d6 for exactly 7
16.6667%

About 1 in 6 rolls

Expected value
7

n × (sides + 1) ÷ 2

Standard deviation
2.415
Possible outcomes
36

6^2

Range
2 to 12

Full distribution

2 2.78% 1 ways
3 5.56% 2 ways
4 8.33% 3 ways
5 11.11% 4 ways
6 13.89% 5 ways
7 16.67% 6 ways
8 13.89% 5 ways
9 11.11% 4 ways
10 8.33% 3 ways
11 5.56% 2 ways
12 2.78% 1 ways

How it works

Dice probabilities are counted, not estimated. This tool builds the exact distribution by convolution — starting from a single die and folding in one more at a time — so every figure here is a precise fraction, not a simulation.

Why 7 is the most common roll on 2d6

There are 36 equally likely outcomes, and six of them total 7 (1+6, 2+5, 3+4, 4+3, 5+2, 6+1). Only one totals 2, and only one totals 12. The middle of the range simply has more ways to be reached, which is why craps is built around 7 and why the sum of many dice starts looking like a bell curve — the central limit theorem in its most tangible form.

E[sum] = n × (s + 1) / 2 Var[sum] = n × (s² − 1) / 12

Sums are not uniform, even though each die is

A single die is flat: every face equally likely. Add a second and the flatness disappears immediately. This catches people out in game design constantly — 3d6 for ability scores clusters hard around 10–11, while a d20 gives every result the same weight.

“At least” beats “exactly”

For most game questions the useful figure is a cumulative one — the chance of rolling at least a certain total, not exactly it. Switch the comparison above to see the tail probability directly.