Insights

Model report: Spanish Grand Prix — ρ 0.751

The model delivered a ρ of 0.751 at Spanish Grand Prix — in line with recent form (recent avg: 0.751). The predicted finishing order matched 68% of actual positions within two places.

Model accuracy in Spanish Grand Prix: rho = 0.751

Called 88% of the field correctly.

ANT was the data's Driver of the Day in Spanish Grand Prix

Composite score 0.690.

19 on-track moves in Spanish Grand Prix — power deficit dominated

First move: ALO on STR lap 3. 0 DRS, 19 power-deficit overtakes.

ERS pressure: NOR led with 304 depletion events in Spanish Grand Prix

NOR, COL, VER pushed ERS hardest. High depletion with sustained pace signals maximum deployment.

ALB leads SAI by 11.183s in the intra-team battle

Based on multiple comparable sessions in Spanish Grand Prix.

PIA vs ANT — the closest battle at Spanish Grand Prix

PIA vs ANT: predicted within 0.093s. The Spanish Grand Prix data suggests these two will decide qualifying.

Model report: Italian Grand Prix — ρ 0.795

The model delivered a ρ of 0.795 at Italian Grand Prix — in line with recent form (recent avg: 0.795). The predicted finishing order matched 59% of actual positions within two places.

Model accuracy in Italian Grand Prix: rho = 0.795

Called 0% of the field correctly.

ANT was the data's Driver of the Day in Italian Grand Prix

Composite score 0.794.

70 on-track moves in Italian Grand Prix — power deficit dominated

First move: RUS on GAS lap 2. 0 DRS, 69 power-deficit overtakes.

ERS pressure: ALB led with 189 depletion events in Italian Grand Prix

ALB, COL, GAS pushed ERS hardest. High depletion with sustained pace signals maximum deployment.

ALO leads STR by 0.636s in the intra-team battle

Based on multiple comparable sessions in Italian Grand Prix.

RUS vs VER — the closest battle at Italian Grand Prix

RUS vs VER: predicted within 0.081s. The Italian Grand Prix data suggests these two will decide qualifying.

Model report: Dutch Grand Prix — ρ 0.879

The model delivered a ρ of 0.879 at Dutch Grand Prix — in line with recent form (recent avg: 0.879). The predicted finishing order matched 69% of actual positions within two places.

Model accuracy in Dutch Grand Prix: rho = 0.879

Called 0% of the field correctly.

HAM was the data's Driver of the Day in Dutch Grand Prix

Composite score 0.701.

61 on-track moves in Dutch Grand Prix — power deficit dominated

First move: BOR on ALO lap 7. 0 DRS, 61 power-deficit overtakes.

ERS pressure: ALO led with 322 depletion events in Dutch Grand Prix

ALO, HUL, COL pushed ERS hardest. High depletion with sustained pace signals maximum deployment.

Model report: Hungarian Grand Prix — ρ 0.939

The model delivered a ρ of 0.939 at Hungarian Grand Prix — in line with recent form (recent avg: 0.939). The predicted finishing order matched 63% of actual positions within two places.

Model accuracy in Hungarian Grand Prix: rho = 0.939

Called 0% of the field correctly.

RUS was the data's Driver of the Day in Hungarian Grand Prix

Composite score 0.757.

40 on-track moves in Hungarian Grand Prix — power deficit dominated

First move: RUS on SAI lap 3. 0 DRS, 40 power-deficit overtakes.

ERS pressure: ALO led with 422 depletion events in Hungarian Grand Prix

ALO, STR, HUL pushed ERS hardest. High depletion with sustained pace signals maximum deployment.

LAW leads LIN by 0.807s in the intra-team battle

Based on multiple comparable sessions in Hungarian Grand Prix.

NOR vs LEC — the closest battle at Hungarian Grand Prix

NOR vs LEC: predicted within 0.352s. The Hungarian Grand Prix data suggests these two will decide qualifying.

Model report: Belgian Grand Prix — ρ 0.794

The model delivered a ρ of 0.794 at Belgian Grand Prix — in line with recent form (recent avg: 0.794). The predicted finishing order matched 47% of actual positions within two places.

Model accuracy in Belgian Grand Prix: rho = 0.794

Called 0% of the field correctly.

HAD was the data's Driver of the Day in Belgian Grand Prix

Composite score 0.779.

52 on-track moves in Belgian Grand Prix — power deficit dominated

First move: STR on ALO lap 5. 0 DRS, 52 power-deficit overtakes.