Tool workspace

Random Team Generator

Generate teams in seconds for workshops and activities.

Runs locally in your browser.

Participants (one per line)

Number of teams

Add participants and generate teams.

Use in code

Shuffle participants and distribute them round-robin into team buckets.

Shuffle and split into teams

TypeScript

Primary API

crypto.getRandomValues()

Uses Fisher-Yates shuffling with cryptographic randomness, then distributes by index.

Built-in APILibrary: Web Crypto API

const participants = ["Ana", "Ben", "Chris", "Diya", "Evan", "Fatima"];
const teamCount = 3;
const shuffled = [...participants];

for (let i = shuffled.length - 1; i > 0; i -= 1) {
  const bytes = new Uint32Array(1);
  crypto.getRandomValues(bytes);
  const j = bytes[0] % (i + 1);
  [shuffled[i], shuffled[j]] = [shuffled[j], shuffled[i]];
}

const teams = Array.from({ length: teamCount }, () => [] as string[]);
shuffled.forEach((name, index) => teams[index % teamCount].push(name));

Reference: Web Crypto API documentation

How to use

Paste or type one participant per line.
Choose team count.
Generate teams and reshuffle if needed.

Use cases

Workshop breakout groups.
Classroom project team assignment.
Casual game team balancing.

Limitations and caveats

Random teams do not account for skill level or role constraints unless you pre-plan inputs.

History

Random team assignment has long been used in classrooms, workshops, and sports to reduce selection bias.
Before digital tools, facilitators used cards, numbers, or manual lists to split groups.
As group activities moved online, random team generators became a faster and more transparent option.

Source: Random assignment in studies · Random selection overview

Evolution and improvements

Digital generators replaced manual grouping and reduced setup time for large participant lists.
Modern workflows combine random assignment with organizer judgment for skill or role balancing.
Current team tools often pair with random pickers for role assignment after groups are formed.