World Cup predictions are a fun test case because the data keeps moving. Every new result changes the table, changes the story, and gives the next prediction a little more context.
We wanted to test something simple: what happens if we give an LLM reliable match data, the current standings, team strength, and the latest snapshot, then ask it to make the next forecast by itself?
The rule is clear. Matches that have already been played are locked as facts. Future group and knockout games stay predictions. That keeps the page honest: results are results, forecasts are forecasts.
Curacao makes the experiment even more interesting for us. They are the underdog team many people on the island will be watching closely. The model still has to respect the data, but we also wanted to see how it handles a story that matters locally: a small island team on the biggest football stage in the world.
Some predictions will age well. Others will not. That is part of the point. It gives us a clear, public way to test how useful an LLM can be when it has live context, factual boundaries, and a job everyone can understand.
You can follow the live snapshot on our World Cup Prediction 2026 page.