Group Generator
Team Distribution System // v1.0
Enter each member name on a new line
Press Cmd/Ctrl + Enter ↵
How this tool helps
Enter one item per line, choose between 2 and 20 groups, and generate. Empty lines are ignored, repeated lines remain separate items, and the group count cannot exceed the number of parsed items. The tool selects Fisher–Yates indices with Web Crypto getRandomValues and rejection sampling, then assigns the shuffled items round-robin. Group sizes differ by at most 1. You can copy one group or copy all groups with the fixed Group 1, Group 2… headers. The draw uses only the text lines and group count: it does not inspect names, relationships, roles, or abilities. Each permutation is equally likely, while a participant’s probability of entering a particular group depends on that group’s output capacity when the capacities are not equal.
One-line input
2–20 groups
Size difference at most 1
Two copy actions
What does the random group generator do?
Enter one item per line, choose between 2 and 20 groups, and generate. Empty lines are ignored, repeated lines remain separate items, and the group count cannot exceed the number of parsed items. The tool selects Fisher–Yates indices with Web Crypto getRandomValues and rejection sampling, then assigns the shuffled items round-robin. Group sizes differ by at most 1. You can copy one group or copy all groups with the fixed Group 1, Group 2… headers. The draw uses only the text lines and group count: it does not inspect names, relationships, roles, or abilities. Each permutation is equally likely, while a participant’s probability of entering a particular group depends on that group’s output capacity when the capacities are not equal.
Useful for
Teachers
Divide a roster into a chosen number of classroom groups.
Facilitators
Create breakout groups from a participant list.
Coaches
Make a first-pass draw for drills or practice groups.
Game hosts
Split players into a chosen number of game teams.
What the panel provides
One-line input
Each non-empty line becomes one item in the draw.
2–20 groups
Choose a group count that does not exceed the number of items.
Size difference at most 1
Round-robin assignment makes the output as even in size as the item count allows.
Two copy actions
Copy one group, or copy all groups with their fixed group headers.
Examples
Class roster
Paste 24 names and choose 6 groups.
The result contains 6 groups of 4.
Workshop
Paste 17 participants and choose 5 groups.
The group sizes are 4, 4, 3, 3, and 3.
Game night
Paste 12 players and choose 3 groups.
Copy one team or copy the complete three-group result.
How to use it
- 1.
Enter items
Use one item per line; blank lines are ignored.
- 2.
Choose the count
Select between 2 and 20 groups.
- 3.
Generate
The list is shuffled and dealt round-robin.
- 4.
Copy
Use the button on one group or the Copy All action.
Questions about the result
How is the shuffled order selected?
Fisher–Yates requests each index from Web Crypto getRandomValues. Rejection sampling discards the uneven Uint32 tail before reducing a value to the required range.
What is equally likely?
Each permutation is equally likely. A participant is therefore equally likely to occupy any particular position in the shuffled order.
Is every group equally likely for a participant?
Only when the groups have equal capacities. If capacities differ, groups with different capacities have different probabilities: a group containing c of n output positions receives that participant with probability c/n.
How even are the sizes?
Round-robin assignment makes any two group sizes differ by at most 1.
Does it balance skill or strength?
No. The panel uses only the entered lines and the requested group count; it has no skill or strength data.
Algorithm boundary
Web Crypto getRandomValues supplies Uint32 values. For each Fisher–Yates step, rejection sampling discards the short tail that cannot be divided evenly by the required index range; the accepted value is then reduced to that range. This removes modulo bias for the index selection, so each permutation is equally likely. Round-robin assignment maps shuffled positions 1, 2, 3… across the requested groups and then starts again at Group 1. That construction gives a size difference of at most 1. It does not evaluate relationships, roles, ability, or any other property of an item. If all capacities are equal, each item has the same probability for each group. If capacities differ, a group holding c of n positions receives a particular item with probability c/n.
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