Roll virtual dice and get individual values from one to six. Use it for board games, classroom probability exercises, or a quick random choice.
How to use
Set the number of dice and select Generate result. Read each line as one die. Roll again to get a new set of independent results.
Example
Choose two dice to get two values, such as 2 and 5. Add them yourself when a game uses their total.
FAQ
Can a number repeat?
Yes. Each die is sampled independently, so repeated values and repeated sets are normal.
Related tools
A practical task
Distinguish individual dice from their total. With two fair dice, a total of 7 has six ordered combinations, while 2 has only one. Equal chances for each face do not make every possible total equally likely.
Another useful question
Can I simulate a die with twenty sides?
This interface models six sided dice. More dice change the number of results, not the face range of each die.
Settings and formats
| Field | Values |
|---|---|
| Count | Starting value: 2; bounds: 1 / 1000 |
Details for interpreting the result
| Detail | Explanation |
|---|---|
| Independent samples | Independent draws do not remember previous outcomes. A repeat does not indicate a failure, and a run of one outcome does not force the opposite outcome next. Evaluate the sampling rule rather than the appearance of a short list. |
| Equal chances | Uniform sampling gives each eligible entry the same chance in a single draw. Equal chance does not mean equal counts in a short run. The definition of an entry matters when a list contains duplicates. |
| Single draw probability | With n equally likely eligible outcomes, the probability of one named outcome is 1 divided by n. A result observed once does not tell you the probabilities; those come from the defined sampling process. |
| Short and long series | Random variation is especially visible in short series. A sample can look unbalanced without contradicting the model. Choose the experiment length before reviewing outcomes so the stopping rule does not depend on an attractive result. |
| Recorded experiments | For an exercise, write down the rule, eligible outcomes, and observations separately. That lets another person distinguish what the generator was allowed to produce from what happened in a particular run. |
| Mapping a result to a choice | Assign meanings to possible outcomes before generating. Changing the mapping afterward introduces personal selection into the decision. Keep the same interpretation for a recorded trial unless the rules explicitly call for a new experiment. |
| Repeats and replacement | Sampling with replacement allows an entry to be chosen again. Selecting without replacement removes it from the remaining choices. These are different rules, so decide which a task needs before interpreting a result. |