Two Dice Probability Calculator

Calculate two-dice probabilities for sums, doubles, products, and differences. View complete sum distribution, outcome grid, cumulative probabilities, and custom-sided dice support.

Sum = 7
16.6667%
6 of 36 outcomes
Fraction
6/36
≈ 1 in 6.0
Complement
83.3333%
30/36 outcomes
Odds
0.2000 : 1
Favorable : unfavorable
At least once in 5 rolls
59.812%
Expected: 0.83 times
Expected Sum
7.00
σ = 2.415

Sum Distribution (6d × 6d)

SumWaysProbabilityDistribution
212.78%
325.56%
438.33%
5411.11%
6513.89%
7616.67%
8513.89%
9411.11%
1038.33%
1125.56%
1212.78%

Doubles Probabilities

DoubleProbabilityVisual
1-12.778% (1/36)
2-22.778% (1/36)
3-32.778% (1/36)
4-42.778% (1/36)
5-52.778% (1/36)
6-62.778% (1/36)
Any double16.667% (6/36)
Cumulative Sum Probabilities
SumP(= sum)P(≤ sum)P(≥ sum)
22.78%2.78%100.00%
35.56%8.33%97.22%
48.33%16.67%91.67%
511.11%27.78%83.33%
613.89%41.67%72.22%
716.67%58.33%58.33%
813.89%72.22%41.67%
911.11%83.33%27.78%
108.33%91.67%16.67%
115.56%97.22%8.33%
122.78%100.00%2.78%
Outcome Grid (6 × 6)
123456
1234567
2345678
3456789
45678910
567891011
6789101112
Planning notes, formulas, and examples

About the Two Dice Probability Calculator

The two dice probability calculator computes the chance of common outcomes when rolling two dice. You can ask for sums, doubles, products, differences, or the probability of seeing a target face at least once.

For two standard d6 dice there are 36 equally likely outcomes, and the sum distribution is triangular rather than flat. Seven is the most common total, while the extremes 2 and 12 are the least common. The page shows the full grid and distribution so you can see why those totals happen.

That makes it useful for classroom probability, board-game odds, and any case where you need more than just a single sum result.

When This Page Helps

Two dice create a small but nontrivial probability space, which makes them a good teaching example. The distribution is easy to state in words, but the outcome grid shows why the middle sums are much more likely than the extremes.

The calculator is also useful when game rules depend on doubles, thresholds, or repeated rolls rather than on the raw sum alone.

How to Use the Inputs

  1. Set the number of sides for each die (default is 6 for standard dice).
  2. Select what to calculate: sum, doubles, product, difference, etc.
  3. Enter the target value for your selected mode.
  4. Set number of rolls to see the probability of the event happening at least once.
  5. Use presets for common dice probability questions.
  6. Expand the outcome grid to see all individual results.
Formula used
P(sum = k) = (number of ways to roll k) / (sides₁ × sides₂). For 2d6: ways to roll sum k = k − 1 for k ≤ 7, and 13 − k for k > 7. P(doubles) = min(sides₁,sides₂) / (sides₁ × sides₂).

Example Calculation

Result: 16.67% (6/36), odds 1:5

Sum of 7 can be rolled 6 ways: (1,6), (2,5), (3,4), (4,3), (5,2), (6,1). Out of 36 total outcomes, that's 6/36 = 16.67%. The chance of rolling at least one 7 in 3 rolls is 42.1%.

Tips & Best Practices

  • For two standard d6 dice, 7 is always the most probable sum with 6/36 = 16.67%. The distribution is symmetric around 7.
  • The probability of any specific double (like double 6) is always 1/36 ≈ 2.78%. Any double at all is 6/36 = 16.67%.
  • The chance of rolling at least one 7 in 4 consecutive rolls is 1 − (5/6)^4 ≈ 51.8% — slightly better than a coin flip.
  • For games like Craps: 7 or 11 on the come-out wins (22.2%), while 2, 3, or 12 loses (11.1%).
  • Custom dice allow you to model non-standard games — try d4 + d8, d10 + d10, or even d20 + d20.
  • The outcome grid shows all possibilities at a glance — highlighted sums make patterns easy to spot.

The Triangle Distribution

The sum of two d6 dice follows a triangular distribution: probabilities increase from 2 to 7, then decrease from 7 to 12. This happens because there are more ways to make middle values. Only (1,1) makes 2, but six different pairs make 7. This is the simplest example of the central limit theorem — the sum of uniform random variables tends toward a bell shape.

Gambler's Fallacy and Dice

A common misconception is that if you haven't rolled a 7 in several tries, you're "due" for one. Each roll is independent — the probability remains 16.67% regardless of history. However, over many rolls, the law of large numbers guarantees the proportion of 7s will converge to 16.67%.

Non-Transitive Dice

Interestingly, it's possible to design three dice A, B, C where A beats B more than half the time, B beats C more than half the time, but C beats A more than half the time. These "non-transitive dice" demonstrate that probability comparisons aren't always transitive, a concept relevant to voting theory and tournament design.

Sources & Methodology

Last updated:

Frequently Asked Questions

  • For two d6 dice, 7 is most likely (6 ways out of 36 = 16.67%). For two dice with s₁ and s₂ sides, the most likely sum is around (s₁+s₂+2)/2.