Dice Roller — Cryptographically Secure Virtual Dice for TTRPGs
Roll virtual dice with crypto-grade randomness. Supports D4, D6, D8, D10, D12, and D20 with modifiers. Free, instant, and accurate.
Dice Roller
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Enter Values
Average Roll
2.0
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Total Roll
4
D4 × 2
Individual Rolls
3, 1
Dice
D4 × 2
Modifier
+0
Average
2.0
The Formula
Each die roll is a uniformly distributed random integer between 1 and the number of sides. The total is the sum of all individual rolls, plus any flat modifier (bonus or penalty). Dice notation is commonly written as NdS+M, where N = number of dice, S = sides per die, and M = modifier. For example, 2D6+3 means roll two six-sided dice, sum them, and add 3. The average result is N × (S+1)/2 + M.
Variable Definitions
Dice Count & Sides
N dice, each with S sides (D4, D6, D8, D10, D12, D20). More dice produce a tighter bell curve around the average.
Modifier
A flat bonus (positive) or penalty (negative) added to the total after summing all dice. In D&D, this often represents ability score modifiers or proficiency bonuses.
Average Result
The expected value: N × (S + 1) / 2 + M. For a single D6, average is 3.5. For 2D6, average is 7. For 2D6+3, average is 10.
How to Use This Calculator
- 1
Choose how many dice to roll (1 to 10 dice per roll).
- 2
Select the die type from the dropdown: D4, D6, D8, D10, D12, or D20.
- 3
Optionally add a modifier (e.g., +5 for a proficiency bonus, or -2 for a penalty).
- 4
Click calculate to see individual die results, the total sum, and the average expected value.
- 5
The dice are displayed visually — pip patterns for D6 and numeric faces for other dice types.
Quick Reference
| From | To |
|---|---|
| Dice Notation | NdS+M (e.g., 2D6+3) |
| Expected Value | N × (S+1)/2 + M |
| D20 Average | 10.5 per die |
| D6 Average | 3.5 per die |
| 2D6 Most Likely | 7 (probability 1/6) |
| Advantage Avg | ~13.82 (vs 10.5 normal) |
| Disadvantage Avg | ~7.17 (vs 10.5 normal) |
| Critical Hit (nat 20) | 5% per roll (1/20) |
Rolling two six-sided dice creates a triangular distribution where 7 is the most likely outcome (1-in-6 chance).
Pro Tips
For D&D 5e players: the "take 10" rule for passive checks means assuming a D20 roll of 10. Add your modifier to 10 for your passive score. This is mathematically the average result of a D20 roll (10.5 rounded down).
When designing a TTRPG system, use 2D6 or 3D6 for skill checks (bell curve rewards consistent skill) and D20 for combat (flat curve makes every bonus matter equally). The difference in feel is significant — players notice the reliability of bell-curve systems.
CSPRNG (crypto.getRandomValues) is mathematically provable to have no detectable patterns, unlike Math.random() which can show subtle biases over millions of rolls. For any human-scale game session, both are fine, but CSPRNG is the gold standard.
Expected value quick reference: 1D4=2.5, 1D6=3.5, 1D8=4.5, 1D10=5.5, 1D12=6.5, 1D20=10.5. To find the average of any NdS, multiply N by (S+1)/2 and add the modifier.
For D&D DMs balancing encounters: a creatures average damage per round = (average die roll + modifier) multiplied by (chance to hit). Use 1D20+modifier vs AC to calculate hit chance: (21 + modifier - AC) / 20, clamped to 0.05-0.95.
Understanding the Concept
Dice rolling is fundamental to tabletop role-playing games (TTRPGs) like Dungeons & Dragons, as well as board games, war games, and probability simulations. Each die produces a uniformly distributed random integer. For a fair S-sided die, every face has a 1/S probability of appearing. The sum of multiple dice approximates a normal distribution due to the Central Limit Theorem — the more dice you roll, the more the results cluster around the average in a bell curve shape. The average roll of a single die is (S + 1) / 2, so 2D6 averages 7, and 2D6+3 averages 10. All rolls use crypto.getRandomValues() for cryptographically secure randomness, which is superior to the default Math.random() for gaming applications where fair results matter.
Worked Examples
During a D&D campaign in Chicago, DM Kevin's player attacks with a +1 longsword. The attack roll is 1D20+5 (Strength +3, proficiency +2). The damage is 1D8+3 on a hit. What are the expected values for both rolls?
1
20
5
Result:
Insight: Attack roll expected value: (20+1)/2 + 5 = 10.5 + 5 = 15.5 average. With this modifier, the player hits AC 15 roughly 55% of the time (needs a 10+ on the D20). Damage roll (1D8+3): average (8+1)/2 + 3 = 4.5 + 3 = 7.5 damage per hit. Over a 4-round combat at 55% hit rate, expected total damage is about 16.5 HP.
Yuki is playing a board game in Tokyo where she needs to roll 3D6 to determine her character's attribute scores. She wants to know the most likely outcome and the probability of rolling a 10 or higher.
3
6
0
Result:
Insight: 3D6 range: 3-18. Average: 3 × 3.5 = 10.5. The distribution is a bell curve centered at 10-11. Probability of 10+: approximately 62.5%. Probability of 18 (all sixes): (1/6)³ = 1/216 ≈ 0.46%. This is why many TTRPG character generation systems use 3D6 — it produces reliably average scores with rare extremes.
Carlos is game-mastering a sci-fi TTRPG in Madrid. An enemy sniper fires with disadvantage (roll 2D20, take lowest) and needs a 15 to hit the players' ship. What are the odds?
2
20
0
Result:
Insight: With disadvantage, the sniper must roll 15+ on BOTH D20s. Probability of 15+ on one D20 = 30% (6/20). Probability on both = 0.30 × 0.30 = 9%. With advantage, the chance would be 1 − (0.70 × 0.70) = 51%. This illustrates why advantage/disadvantage is mathematically equivalent to roughly ±5 on the roll (the "5e advantage rule of thumb").
Limitations
- This roller supports 1-10 dice of types D4, D6, D8, D10, D12, and D20. It does not support custom-sided dice (D3, D100, D30), percentile dice (D%), dice pools with success counting (e.g., Vampire: The Masquerade or Shadowrun systems), exploding dice (where max rolls are re-rolled and added), Fudge/Fate dice (with +/blank/− faces), or keeping highest/lowest N dice (advantage/disadvantage can be simulated by rolling twice). The roller uses modulo-based mapping from Uint32 values, which is uniform for all supported die sizes but not for custom prime-sided dice above 32 faces. When not to use: do not use for cryptographic key generation (crypto.getRandomValues is qualified for randomness but key generation has additional requirements), for legal gambling (requires certified hardware RNG in most jurisdictions), or for game systems requiring specialized dice mechanics beyond simple NdS+M.
Frequently Asked Questions
Sources & References
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