Find Your Match

The Match Schedule That Actually Helps Fans Travel

Every four years, millions of fans around the world open FIFA's website looking for match schedules and walk away more confused than when they started. Times listed in ET only. No stadium details. No hotel links. No clue whether the 1PM kickoff in Houston means you'll be sitting in 100°F heat for two hours.

We built Match Intelligence to fix that. Every single one of the 104 fixtures at World Cup 2026 is here — but instead of just dates and kickoff times, we give you what fans actually need: the match time converted to your timezone, the stadium name and capacity, a heat risk flag for summer venues, and direct links to hotels near the ground.

The World Cup spans three countries (USA, Canada, and Mexico), nine time zones, and 39 consecutive days of football. For fans following their team across multiple cities — or planning a multi-match trip — this is the only tool that brings the full picture together in one place.

One thing most fans don't realise: the tournament opening match on June 11 kicks off at 10PM local time in Mexico City — which is midnight in New York and 8:30AM the next morning in India. If you're watching from home, use our converter below. If you're travelling to Mexico City for the opener, you'll need late-night accommodation near Estadio Azteca sorted well in advance.

Every Host City at a Glance

Planning which cities to visit? Here's everything a travelling fan needs to know — from the number of matches and average hotel prices to the heat risk and transport options. Some cities are dramatically better value than others, and the difference can be thousands of dollars on a multi-city trip.

Machine-Readable Match Data

Building a World Cup app or want to use this data in your own project? Our match data is structured and available in a consistent format. Here's an example of how the data is organised for each fixture:

Each match entry includes: date, kickoff_et, teams, city, stadium, capacity, timezone_offsets, heat_risk_level, hotel_booking_url, and travel_notes. This format makes it easy for AI assistants and travel apps to serve accurate, fan-relevant answers.