16 Years, Five World Cups, Zero Wrong Picks for EA

"We called it. You played it. Spain made it a reality," the official EA Sports FC account posted on X after Sunday's final. "Five predictions in a row, and Spain lifted the trophy 11M+ times across EA Sports FC 26 and EA Sports FC Mobile."

That's the fifth consecutive World Cup where EA's pre-tournament simulation has nailed the winner. Spain 2010. Germany 2014. France 2018. Argentina 2022. Spain again in 2026, beating Argentina 1-0 after Ferran Torres scored in extra time. Sixteen years without a miss. The streak started when the series was still called FIFA, survived EA losing its FIFA licence entirely, and kept going through a rebrand that had plenty of people wondering whether the data would hold up without the official partnership. It did.

EA's method isn't a coin flip or a social media stunt. The simulation draws on the player attribute database that powers EA Sports FC 26, running AI-driven matches through every stage of the tournament, from group play through the knockout rounds. A few days before the opening match on June 6, the EA Sports FC account posted the Spanish flag and the message: "We've predicted four in a row. Now we've run the sim again. The next champion?" As reported by multiple outlets, Spain wasn't even the consensus favourite going into the tournament, with France, England, and Argentina all carrying stronger pre-tournament odds from most bookmakers.

The Madden Problem

What makes this streak so striking is how badly EA's simulations perform everywhere else. The publisher has predicted the last 15 Super Bowls using Madden and got eight right, a record that's barely better than flipping a coin. Its NHL Stanley Cup predictions have been wrong for 14 consecutive years. As Polygon noted, the World Cup simulations use the same basic approach as the Super Bowl ones, running the game's AI through the bracket, but the football results are in a completely different league of accuracy.

I think there's something interesting buried in that gap. EA's football database is probably the most obsessively maintained player rating system in all of sports gaming. Millions of players scrutinise every attribute update, every downgrade, every suspiciously high rating for a player who hasn't performed in months. That level of community pressure, combined with EA's scouting network feeding real performance data into the system, might be producing a simulation model that's accidentally more accurate than anything the company set out to build. The Madden and NHL databases just don't get the same global scrutiny.

FIFA's own officially licensed World Cup game this year, a casual title streamed through Netflix using smartphones as controllers, didn't exactly steal the spotlight. EA Sports FC 26 released its own unlicensed international tournament mode called The World's Game, featuring the real national teams and players from the 2026 World Cup. Losing the FIFA name clearly hasn't cost EA the thing that actually matters here: the data.

Five in a row is the sort of streak that makes you want to do the maths on how unlikely it is, and then give up because there are too many variables. The World Cup isn't a two-team final you can guess with decent odds. It's a 48-team tournament full of upsets, red cards, injuries, and extra-time chaos. EA called the exact winner before a ball was kicked, five times running. When the 2030 World Cup rolls around, I'm checking whatever EA posts before I look at a single betting line. EA Sports FC 26 currently sits at an 80 average on OpenCritic, but its crystal ball might be the best feature the series has ever shipped.