6-Sided Dice Probability Calculator

Calculate the exact probability of rolling a specific sum or outcome with one or more standard 6-sided dice. Get probabilities, odds, and expected values.

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Dice Probability Basics

Dice probability is a fundamental concept in statistics and combinatorics. A standard 6-sided die (D6) has faces numbered 1 through 6, each equally likely. When multiple dice are rolled, the number of possible outcomes grows exponentially: one die has 6 outcomes, two dice have 36, three dice have 216, and so on.

The probability distribution of dice sums forms a characteristic bell-shaped curve as the number of dice increases, illustrating the Central Limit Theorem in action.

Probability Formula

P(sum = S with N dice) = (ways to get S) / 6^N
Ways(S, N) = Σ (-1)^k · C(N,k) · C(S-6k-1, N-1) for valid k

This uses the inclusion-exclusion principle. The number of ways to write S as an ordered sum of N integers each between 1 and 6 is computed by subtracting overcounted cases where one or more dice exceed 6.

Two-Dice Sum Probability Table

SumWaysProbabilityPercentage
211/362.78%
322/365.56%
433/368.33%
544/3611.11%
655/3613.89%
766/3616.67%
855/3613.89%
944/3611.11%
1033/368.33%
1122/365.56%
1211/362.78%

Multiple Dice Probability

  • 3 dice: 216 total outcomes, sums range from 3-18, most likely sum is 10 or 11.
  • 4 dice: 1,296 total outcomes, sums range from 4-24, most likely sum is 14.
  • Expected sum: Always equals 3.5 x (number of dice).
  • Variance: Each die contributes 35/12 to the total variance.

Frequently Asked Questions

What is the probability of rolling a 7 with two dice?

6 out of 36 outcomes sum to 7: (1,6), (2,5), (3,4), (4,3), (5,2), (6,1). The probability is 6/36 = 1/6 = 16.67%.

What sum is most likely with two dice?

The sum of 7 is most likely because it has the most combinations (6 ways). This is because 7 is equidistant from the minimum (2) and maximum (12).

How does adding more dice change the distribution?

More dice make the distribution more bell-shaped (approaching normal distribution). The peak becomes more pronounced at the expected value, and extreme sums become increasingly unlikely.