Random
Uses a seeded Fisher–Yates shuffle and satisfies hard rules. The same roster, options, history, and seed reproduce the same result.
Free · no sign-up
Random Team Generator
Create random teams, balance skills and roles, or improve fairness across repeated rounds—all in one private workspace.
Local by defaultNo roster upload to generate
Output
Waiting for roster
Allocation preview
Your team board will appear here.
Generate once, then drag, swap, lock, compare, save, export, or add the result to fairness history.
0People
RandomMode
2 teamsSplit
Resolve these items
Team board
Your teams
Why this result scored this way
Replay checksum:
Scores compare this result with the objectives selected for the current mode. They do not prove absolute fairness or a global optimum.
Bench / Rest
History view
Pair coverage
Rotation schedule
Multiple rounds
Three different jobs
Random is not the same as balanced or fair over time
Choose the objective that matches the decision you are making. The generator never labels a random result “balanced” just because the team sizes are equal.
Balanced
Evaluates many valid candidates, then improves skill totals, averages, role coverage, custom categories, and spread rules.
Fair Over Time
Adds saved teammate pairs, captain counts, participation, rests, responsibilities, and team-strength exposure to the objective.
Reusable presets
One roster workflow, different real-world rules
Classroom
Balance ability or grade, mark absences, keep support pairs together, separate recurring conflicts, and present groups clearly.
Sports
Balance skill and positions, spread goalkeepers, choose captains, rotate rests, and assign courts or stations.
Workshops
Distribute departments, seniority, roles, languages, or custom experience fields across cross-functional groups.
Events and camps
Rotate tables, rooms, activities, or networking partners while reducing repeat teammate and opponent combinations.
Transparent method
What the scores mean—and what they do not mean
Balance score
Compares team skill totals and averages with the ideal for each team size. Missing skills use the roster mean as a neutral estimate and are disclosed in the explanation.
Role coverage
Measures how evenly selected roles, positions, departments, grades, categories, and custom spread rules are distributed.
Historical fairness
Combines teammate coverage, pair repetition, captain counts, participation, rests, responsibility counts, and repeated strong/weak team exposure.
Limits
The bounded optimizer searches for a strong valid result; it does not promise the only solution, a global mathematical optimum, or perfect social fairness.