R03: Aramco Japanese Grand Prix — Deep Dive
Predictions vs reality at Round 3
Race Summary
Round 3 of the 2026 season is complete. The Aramco Japanese Grand Prix delivered another chapter in what is shaping up to be a fascinating championship battle under the new regulations.
Our model's pre-race predictions are now scored against reality. This article breaks down what happened, where our model was right, where it was wrong, and what it means for the championship picture.
Predictions vs Reality
Before the race, our model generated probability distributions for every driver. Now that the chequered flag has fallen, we can assess how those probabilities held up.
The key question is not whether we picked the winner — it is whether our probability assignments were well calibrated. A 30% prediction that comes true is not a failure. A 90% prediction that fails is not necessarily wrong either. Calibration is measured over many predictions, not individual outcomes.
Championship Impact
Every race reshapes the championship picture. Our Monte Carlo simulation recalculates title probabilities after each round, incorporating the latest results into the model.
The standings after Round 3 will feed into our predictions for the next race. The model learns, adapts, and sharpens its estimates race by race.
What We Learned
Each race teaches the model something. Whether it is a regulation pattern becoming clearer, a driver's form trajectory stabilising, or a team's development rate revealing itself — the data accumulates and the predictions improve.
We will continue scoring every prediction publicly. The track record page shows the full history. No hiding, no cherry-picking.