Roll completely randomized dice — random count, random type, optional random modifier. Great for surprise encounters, writing prompts, and dice warm-ups.
Sometimes you want the roll itself to be unpredictable. The Random Dice Roller randomizes the dice count, die type, and optional modifier so each result starts from a different expression rather than a fixed formula.
Set the bounds for the number of dice, the allowed die types, and the modifier range, then generate a batch of random rolls. The page summarizes the results and shows which dice were used so you can inspect the randomness instead of just the total.
That makes it useful for encounter warm-ups, improv prompts, and quick probability demonstrations where the expression should be part of the surprise.
A fixed dice roller answers one question well, but this page is about exploring variability in the expression itself. It is a good fit when you want to see how totals change as the dice pool, die size, and modifier all vary together.
The summary tables make it easier to talk about the sample you rolled, which is helpful in teaching, game prep, or any situation where you want a random mix rather than a single repeated formula.
Each roll: N = random(minDice, maxDice), S = random(availableTypes), M = random(−modRange, +modRange). Total = Σ(roll each NdS) + M.
Result: Roll 1: 3d8+2 = 20, Roll 2: 1d12-1 = 8, Roll 3: 2d6+3 = 12, Roll 4: 4d4 = 11, Roll 5: 1d20-3 = 14
Five completely random rolls with varying dice types, counts, and modifiers. Each expression was independently randomized from the configured bounds.
Random dice selection demonstrates a key game design concept: nested randomness. When both the expression and the result are random, outcomes have much wider spread than fixed expressions. A session of 3d8 always averages 13.5, but random dice might give you 1d4 (avg 2.5) one roll and 6d12 (avg 39) the next.
This deliberate chaos can make game moments memorable. Random encounter tables combine fixed structure with random elements to create infinite variety from finite designs.
When you randomize the dice type, the aggregate results no longer follow a simple distribution. Instead, you get a mixture distribution — a weighted average of each die type's uniform distribution. With enough rolls, the histogram of individual die results will show a roughly uniform distribution (since each die type contributes equally), but the totals will show complex patterns depending on how many dice are in each roll.
This tool is excellent for probability education. Students can generate 50 random rolls, then analyze: Which expressions gave the highest totals? Does more dice always mean higher results? How much do modifiers affect outcomes? These explorations build intuition about expectation, variance, and the central limit theorem through direct observation.
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"All" includes d2 through d100. "Standard RPG" uses d4, d6, d8, d10, d12, d20 — the classic polyhedral set. "Simple" uses just d4, d6, d8 for basic mechanics.
Dungeon Masters use random rolls for encounter design, treasure generation, and improv. Writers use them as creative prompts. Teachers demonstrate probability concepts. Sometimes chaos is the point!
Yes. Dice count is uniformly random between your min/max. Die type is uniformly drawn from the available types. Modifiers are uniformly random within ±modRange. Each individual die roll is standard 1/S probability.
Yes — since each roll is independently random, you might get the same expression twice. With many dice types and a wide count range, duplicates are rare but possible.
The regular roller uses one fixed expression (e.g., always 2d6). This randomizes the expression itself — you don't know what you're rolling until the results appear.
If you set ±5, modifiers range from -5 to +5 uniformly. So each roll might get +3, -2, 0, +5, etc. Set to ±0 (disable) for pure dice results.