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HomeotherDice Roller & Probability Calculator

Dice Roller & Probability Calculator

Roll virtual dice for tabletop games, Dungeons & Dragons and quick random results. Choose a standard die or enter a supported formula such as 2d8, 3d8, 4d6 or 1d20. Switch to probability analysis to explore expected averages and possible outcomes for supported dice expressions.

Quick Dice Selection

Select dice count, standard polyhedral sides, and an optional modifier.

2 Dice
Latest Roll Outcome
Total Dice Sum
7
Formula: 2d6
Individual Die Outcomes
d6: 3d6: 4
Theoretical Average (μ):7
Possible Range:2 to 12

Note: A randomized roll fluctuates around this average. Switch to Mode B — Analyze probabilities for exact odds tables and PMF charts.

Session Roll Log (1)
2d63, 4
TOTAL: 7
RELATED CALCULATORS:
Random Number Generator|Probability Calculator|Permutation & Combination Calculator

How to Use the Dice Roller

  1. Choose the dice: Select a common die (such as d4, d6, d8, d10, d12, d20, or d100) or enter a supported dice formula.
  2. Set the quantity and modifier: Check the displayed expression so that it matches the roll you intend to make.
  3. Roll the dice: Review each individual result, any kept or discarded dice, and the final total.
  4. Analyze the odds when needed: Switch to probability analysis to view the theoretical average or outcome probabilities where the selected formula is supported.

Supported Dice and Notation

Dice notation describes the number of dice, the number of faces on each die, and any additional modifiers supported by the calculator:

1d20

Roll one 20-sided die.

2d8

Roll two 8-sided dice and add the results.

2d6+3

Roll two 6-sided dice and add 3.

2d20kh1

Roll two d20s and keep the highest one (Advantage).

4d6kh3

Roll four d6s and keep the highest three (D&D ability score method).

3d6!

Roll three d6s with the calculator's documented exploding-dice rule.

d100

Generate a percentile result from 1 to 100 under the stated discrete uniform convention.

Note: The exact meaning of game-specific notation can depend on the ruleset. The tool implements its documented expression grammar; it does not automatically interpret every tabletop game's house rules.

Dice Roller Examples

FormulaWhat It DoesExpected Sum (Fair Dice)
1d20Roll one twenty-sided die10.5
2d8Roll two eight-sided dice and add them9.0
3d8Roll three eight-sided dice and add them13.5
4d6Roll four six-sided dice and add all four14.0
12d6Roll twelve six-sided dice and add them42.0
14d6Roll fourteen six-sided dice and add them49.0

These values are theoretical expected sums, not the outcome of a particular roll. The actual roll always produces an integer for ordinary dice with integer faces. For example, 2d8 can produce a total from 2 through 16, while its expected value is 9.

Important Distinction: 4d6 vs. 4d6 drop lowest

4d6 sums all four dice and produces an expected total of 14.0 (range 4–24). In contrast, 4d6kh3 (or 4d6dl1) discards the single lowest die and keeps the highest three, producing an expected total of approximately 12.2446 (range 3–18). The interface strictly distinguishes these two cases.

Average Dice Roll Calculator

The expected value of a fair die is the mean of its possible face values. For a standard die numbered from 1 through S, the expected value is:

E[X] = (S + 1) / 2

For N independent dice with the same number of sides, when all faces are summed:

E[Total] = N × (S + 1) / 2

For example, the expected sum of 12d6 is:

12 × (6 + 1) / 2 = 12 × 3.5 = 42

The expected sum of 14d6 is 14 × 3.5 = 49, and the expected sum of 3d8 is 3 × 4.5 = 13.5.

These are averages over repeated rolls under the fair-dice model. They do not mean that one roll of 12d6 will produce 42 every time, nor do they predict the next individual result.

Dice Probability and Outcome Distribution

A probability distribution describes how likely each possible total is under the stated dice rules. A single fair die has an equal probability for each face. When multiple dice are summed, different totals can have different probabilities because different face combinations produce them.

For two six-sided dice (2d6), 36 ordered outcomes are equally likely. A total of 7 can occur in six ways:

1+6  |  2+5  |  3+4  |  4+3  |  5+2  |  6+1

Therefore:

P(2d6 = 7) = 6 / 36 = 1 / 6 ≈ 16.67%

The minimum total is 2 and the maximum is 12. Seven is the most likely total, but it is not guaranteed.

The distribution chart in Mode B is titled Outcome probability distribution (PMF) rather than a bell curve because discrete PMFs are not necessarily bell-shaped (a single die is uniform and two dice create a triangular distribution).

For probability problems that extend beyond polyhedral dice, explore the Probability Calculator.

D&D Dice — Advantage, Disadvantage and 4d6 Drop Lowest

Some tabletop systems use mechanics that change how dice results are selected:

  • Advantage (2d20kh1): Roll two d20s and keep the higher result.
  • Disadvantage (2d20kl1): Roll two d20s and keep the lower result.
  • 4d6 drop lowest (4d6kh3): Roll four six-sided dice, discard the lowest die, and add the remaining three.

These rules change the distribution of the final result—they do not simply change the number of sides on the die.

For one fair d20, the chance of a natural 20 is 5% (1/20). With Advantage implemented as rolling two independent d20s and keeping the higher result, the chance of at least one 20 is:

1 − (19 / 20)² = 39 / 400 = 9.75%

With Disadvantage, the chance of a natural 20 drops to:

(1 / 20)² = 1 / 400 = 0.25%

For 4d6 drop lowest, the expected ability score is approximately 12.2446 (compared to 10.5 for 3d6), and the possible scores range from 3 to 18.

Reference: For official rules on character ability score generation and Advantage/Disadvantage tests, see the D&D Basic Rules.

Exact Probability vs. Simulation

Exact probability is calculated mathematically from the supported dice expression. Simulation estimates probabilities by generating many random trials and measuring their outcomes.

The two approaches are not interchangeable. An exact probability distribution for an ordinary finite dice expression can be calculated from its possible outcomes using combinatorial enumeration or polynomial convolution. An exploding-dice mechanic may have an unbounded theoretical tail, so a finite simulation (50,000 trials) estimates the distribution rather than enumerating an entire infinite distribution.

The interface explicitly identifies when an output is exact and when it is simulated. A simulation's trial count and displayed precision reflect what was actually computed.

Calculator Assumptions and Limitations

The calculator models the dice rules supported by its formula parser. A roll result is a random outcome, not a prediction of future rolls. The expected value describes the theoretical long-run average under the stated assumptions.

Probability calculations depend on the specific expression, including modifiers, keep/drop rules and any exploding-dice convention. Results must be interpreted using the game's ruleset, particularly where systems use different reroll or success mechanics.

A software dice roller can generate digital random results and analyze mathematical distributions. It cannot determine whether a physical die is balanced or guarantee the fairness of an entire physical game system.

For general-purpose integer randomization outside tabletop dice syntax, use the Random Number Generator.

Frequently Asked Questions

2d6 means rolling two six-sided dice and adding the results. The total ranges from 2 through 12.
For twelve independent fair six-sided dice added together, the expected sum is 12 × 3.5 = 42. This is the theoretical average, not a guaranteed single roll.
The expected value of a fair d20 is (1 + 20) / 2 = 10.5. A single roll produces an integer from 1 through 20; 10.5 is its long-run average.
4d6 normally means adding all four dice. 4d6kh3 means rolling four d6s and keeping the highest three. These expressions have different ranges and probability distributions.
Advantage means rolling two d20s and keeping the higher result. Disadvantage means rolling two d20s and keeping the lower result. The exact interpretation should follow the rules version and system being played.
A probability mass function, or PMF, gives the probability of each possible value for a discrete random variable, such as the sum of two six-sided dice.
Exact results are calculated mathematically for supported finite distributions. Simulation-based results estimate probabilities from repeated random trials. The calculator should label which method it used for each result.
No. Random rolls cannot be reliably predicted from prior outcomes. Expected values and probability distributions describe the model's possible outcomes, not the result of the next individual roll.
While both can reach a maximum value of 12, their probability distributions and ranges are fundamentally different. A 1d12 produces a flat uniform distribution where each integer from 1 through 12 has an equal 1/12 (8.33%) chance, with an expected value of 6.5. In contrast, 2d6 ranges from 2 through 12 with a triangular distribution centered at 7 (16.67% chance), with an expected value of 7. You cannot roll a 1 on 2d6, and extreme results like 2 and 12 are rare (2.78% each).
A standard fair d20 has an expected value of 10.5. Rolling with Advantage (keeping the highest of two d20s) raises the expected value to 13.825 (an effective bonus of +3.325). Rolling with Disadvantage (keeping the lowest of two d20s) reduces the expected value to 7.175 (an effective penalty of -3.325). The effective bonus from Advantage is largest when targeting moderate numbers (DCs near 11) and tapers near the extremes.
Exploding dice (notated with an exclamation mark, like 3d6!) is a tabletop mechanic where rolling the maximum possible face on a die grants an immediate reroll that adds to the total. If the extra roll also lands on the maximum value, the die explodes again. Because the die can theoretically continue exploding, the distribution has an unbounded upper tail, which is why simulators estimate its probability rather than calculating a finite exact distribution.
When rolling two standard six-sided dice (2d6), there are 36 equally likely outcomes (6 × 6). Exactly six outcomes are doubles: (1,1), (2,2), (3,3), (4,4), (5,5), and (6,6). The probability of rolling doubles on any single roll is 6 / 36 = 1 / 6 ≈ 16.67%.
A d100 roll generates a random integer from 1 to 100 with an equal 1% probability for each outcome. Tabletop games typically roll two 10-sided dice: one 'tens' die marked 00–90 and one 'ones' die marked 0–9. A roll of '00' and '0' is conventionally read as 100, while '00' and '5' represents 5. The theoretical expected value of a fair d100 is (1 + 100) / 2 = 50.5.

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