This tool predicts how a Grand Prix would play out, then checks that prediction against what really happened. It starts from real tire-wear data at the circuit, builds the pit strategies each driver could realistically run, and races them out lap by lap. Work through the four sections in order: each one unlocks the next.
Generates all viable tire strategies for this race based on historical compound degradation data at the selected circuit. Each row is a driver from their qualifying grid position. The Strategy column shows the compound sequence (e.g. Soft → Medium → Hard) and number of stops. Pit Strategy adjusts how the model weights tire wear rate and how much overtaking is expected.
Each line shows a driver's simulated position across every lap of the race. Lines moving down mean gaining places, up means losing them. Pit stops appear as a sharp drop followed by gradual recovery as rivals also stop. Delta to Pass controls overtaking difficulty: a higher value means passing is harder, so track position matters more.
The simulated finishing order, showing each driver's predicted position, strategy used, time gaps to the car ahead and to the race leader, and total race time. This is the model's best estimate if pace and tire data play out optimally with no external disruptions.
A direct comparison between the simulated finishing positions and what actually happened. The Diff column shows how many places off the model was: green zero is a correct call, red numbers show the miss. Discrepancies typically come from safety cars, reliability issues, driver errors, or aggressive undercuts the model didn't fully capture. Toggle Excl. DNF to remove retired drivers from the comparison.