Random Dice Roller 🎲

Roll up to 15 dice at once with customizable die types and calculate probabilities

Configure Your Dice

Individual Dice Configuration

Probability Statistics

1
Minimum Sum
6
Maximum Sum
3.50
Expected Value
6
Total Outcomes
Most Probable Sum: 1
Probability: 16.6667%

Common Die Types

D4
Tetrahedron
4 sides
D6
Cube
6 sides
D8
Octahedron
8 sides
D10
Pentagona
10 sides
D12
Dodecahedron
12 sides
D20
Icosahedron
20 sides
D100
Percentile
100 sides

Dice Rolling Tips

🎲

You can roll up to 15 dice at once for complex scenarios

📊

Each roll shows individual results and probability statistics

⚙️

Mix different die types for unique probability distributions

📝

Roll history keeps track of your last 10 rolls

🎯

Custom dice can have 2-1000 sides for special applications

Understanding Dice Probability

How Dice Probability Works

When rolling dice, each outcome has a specific probability based on the number of ways it can occur divided by the total number of possible outcomes. For a single die, each face has an equal probability of 1/n where n is the number of sides.

Multiple Dice Calculations

  • Each die roll is independent of others
  • Total outcomes = product of individual die sides
  • Middle sums are more probable than extremes
  • Expected value = sum of individual die expectations

Probability Formula

P(sum = k) = Number of ways to get k / Total outcomes

Expected Value = Σ(sides + 1) / 2

Example: Two 6-sided Dice

  • Total outcomes: 6 × 6 = 36
  • Sum of 7: 6 ways (1+6, 2+5, 3+4, 4+3, 5+2, 6+1)
  • Probability of 7: 6/36 = 16.67%
  • Expected value: (6+1)/2 + (6+1)/2 = 7

Note: This calculator handles complex configurations with different die types automatically!

Applications of Dice Rolling

🎮 Gaming

  • • Board games and tabletop RPGs
  • • Dungeons & Dragons character stats
  • • Probability-based game mechanics
  • • Random event generation

📊 Statistics Education

  • • Teaching probability concepts
  • • Demonstrating random distributions
  • • Central limit theorem examples
  • • Experimental vs theoretical probability

🔬 Research

  • • Monte Carlo simulations
  • • Random sampling methods
  • • Decision-making processes
  • • Risk assessment models