Shuffle & Match is a fair-distribution tool that randomly assigns people to groups or pairs items from two lists using the Fisher-Yates shuffle algorithm — the gold standard for unbiased random permutations. Whether you need to divide a class into project teams, randomly assign mentor-mentee pairs, or create random tournament brackets, Shuffle & Match produces statistically fair results every time.

All shuffling is done in your browser using crypto.getRandomValues() for true randomness — no server, no tracking.

The Fisher-Yates algorithm iterates through the input list from the last element to the first. At each position i, it picks a random index j between 0 and i (inclusive) using a cryptographically secure random number, then swaps elements at positions i and j. After n iterations, every possible permutation has exactly equal probability. For group assignment, the shuffled list is split into evenly sized groups. For pair matching, two independently shuffled lists are zipped together.

Teachers randomly divide students into presentation groups or lab partners. HR managers assign employees to cross-functional committee roles fairly. Event organizers create random table seating assignments for networking events. Hackathon organizers form random teams from participant lists to encourage diverse collaboration. Teachers create randomized quiz question orders to prevent answer-sharing between students.