Automate and optimize tournament scheduling
Every tournament has a list of teams, a calendar of match days, and a stack of dates teams can't make. Few have anything that turns that into a schedule where every team plays a fair number of matches against a fair mix of opponents. Let's solve that.



One solve fills every match slot on every match day
Timefold assigns teams to match slots across the whole tournament as one optimization problem. One slot per team per day and team unavailability are hard constraints, so every schedule can actually be played. Within those rules, the model gives every team a fair share of match days and spreads opponents evenly across all pairings.
Where Timefold goes beyond spreadsheet scheduling
Four things decide whether teams and families trust a tournament schedule. Timefold bakes them into the model.
Availability as a hard rule
Teams never play on a date they can't make, and never twice on one day.
Fair match counts
Match slots are balanced across all teams, including teams that would otherwise be left out.
A fair mix of opponents
Pairings are spread evenly, so no two teams keep meeting while others never do.
Announced matches stay put
Pinned match slots keep their team, and the rest of the schedule adapts around them.
Tournaments run on tight calendars
Teams travel, book venues, and plan their weekends around the schedule. Every team needs a fair set of matches and opponents, within the days it can play.
Expects a fair number of matches
Uneven schedules are noticed quickly by players, parents, and coaches.
Differs per team
Some teams can't play on certain days, and the schedule has to respect that.
Should be balanced
Meeting the same team again and again makes a tournament less fun.
Changes are common
Weather, venues, and dropouts force a new schedule on short notice.
Constraints the model expresses today
One match slot per team per day
A team never fills two match slots on the same date.
Team unavailability respected
A team is never scheduled on a date it has marked as unavailable.
Fair share of match days
Every team gets a comparable number of match slots, and a team with no matches at all counts against the balance instead of being overlooked.
Balanced opponents
Teams that share a match day meet each other, and the model spreads those meetings evenly over every possible pairing, including pairings that would otherwise never meet.
Fixed matches stay put
Match slots you pin keep their team, and the model plans the rest of the tournament around them.
Explained imbalances
Every double booking, unavailable date, and imbalance comes with a justification that names the teams and dates behind it.

When scheduling works, everything works.
Less waste. More control. Teams that trust the plan.