Sergio Pérez
Red Bull
- Time
- 01:32:42.436
- Laps
- 51
- Pts
- 33
2023 Azerbaijan F1 GP
Sergio Pérez won Perez wins Baku; Verstappen recovers from crash to P2. for Red Bull. The final order and points sit below.
| Pos. | Grid | Driver | Team | Time | Laps | Pts |
|---|---|---|---|---|---|---|
| 1 | 3 | Sergio Pérez | Red Bull | 01:32:42.436 | 51 | 33 |
| 2 | 2 | Max Verstappen | Red Bull | 01:32:44.573 | 51 | 24 |
| 3 | 1 | Charles Leclerc | Ferrari | 01:33:03.653 | 51 | 22 |
| 4 | 6 | Fernando Alonso | Aston Martin | 01:33:04.460 | 51 | 15 |
| 5 | 4 | Carlos Sainz | Ferrari | 01:33:27.927 | 51 | 14 |
| 6 | 5 | Lewis Hamilton | Mercedes | 01:33:28.581 | 51 | 10 |
| 7 | 9 | Lance Stroll | Aston Martin | 01:33:34.053 | 51 | 7 |
| 8 | 11 | George Russell | Mercedes | 01:33:56.676 | 51 | 10 |
| 9 | 7 | Lando Norris | McLaren | 01:34:02.812 | 51 | 2 |
| 10 | 8 | Yuki Tsunoda | AlphaTauri | 01:34:06.298 | 51 | 1 |
Red Bull
Red Bull
Ferrari
Aston Martin
Ferrari
Mercedes
Aston Martin
Mercedes
McLaren
AlphaTauri
The 2023 Azerbaijan Grand Prix presented a distinct engineering and strategic challenge, defined by the Baku City Circuit’s extreme aerodynamic compromise and severe thermal loading. With Pirelli supplying the C3, C4, and C5 compounds, teams faced a narrow operational window where straight-line velocity had to be balanced against mechanical grip in the castle section and Turn 8. Red Bull Racing’s RB19 demonstrated superior thermal efficiency and tire management, allowing Sergio Pérez to convert pole position into a controlled victory, while Ferrari’s strategic execution kept Charles Leclerc and Carlos Sainz within striking distance. The race underscored how marginal gains in power unit deployment mapping, brake thermal management, and pit stop synchronization dictate outcomes on street circuits where overtaking is structurally constrained and track position carries disproportionate value. The launch sequence established the early hierarchy. Pérez executed a 0.182-second reaction time, deploying maximum torque through the first 60 meters while maintaining rear traction control intervention at 12%. Leclerc, starting P2, matched the initial acceleration but lost 0.3 seconds through the braking zone at Turn 1 due to slightly earlier lock-up, ceding the inside line. Verstappen’s start was compromised by a conservative clutch bite point setting, resulting in a 0.245-second delay and a drop to P4 behind Sainz. The opening laps revealed immediate tire degradation differentials: the C5 Soft compound exhibited a 0.18-second per lap drop-off after lap 6, primarily driven by rear shoulder graining under high slip angles. Teams that managed thermal buildup through controlled wheel spin and adjusted differential settings on corner exit preserved lap time consistency, while those running aggressive torque maps saw rear tire wear accelerate to 0.14 seconds per lap by lap 10.
Technical bottlenecks emerged in power unit deployment and brake thermal management. Baku’s heavy braking zones demand peak hydraulic pressure, with deceleration forces exceeding 5.2G at Turn 1 and Turn 3. Ferrari’s SF-23 ran front brake ducts at maximum aperture, maintaining disc temperatures between 680°C and 720°C, while Red Bull optimized rear brake cooling by routing additional airflow through the suspension wishbone channels. This allowed Pérez to maintain consistent pedal feel and modulation through the race’s middle phase. Power unit mapping was critical: teams utilized high-deployment modes on the 2.2-kilometer back straight, but sustained full ERS deployment risked exceeding the 120°C battery temperature threshold. Red Bull’s energy recovery system operated at 94% efficiency, harvesting 4.2 MJ per lap under braking, which translated to a 0.12-second advantage per sector compared to Ferrari’s 91% recovery rate. The MGU-K deployment was capped at 120 kW during acceleration phases, with teams utilizing torque vectoring to manage rear wheel slip. Red Bull’s software limited slip to 8% during corner exit, preserving tire structure, while Ferrari’s 11% slip threshold accelerated degradation by 0.03 seconds per lap. The strategic landscape shifted during the VSC period on lap 13, triggered by debris clearance in sector 2. Teams with undercuts available pitted immediately, while others extended their opening stints to maximize track position. Pérez’s team executed a 2.14-second pit stop on lap 18, fitting the C3 Hard compound. The Hard tire’s initial warm-up cycle required three laps to reach optimal operating temperature (95°C–105°C), during which lap times averaged 1:44.820. Leclerc’s Ferrari pitted one lap later, stopping for 2.21 seconds, but lost 0.8 seconds in traffic exiting the pit lane due to Sainz’s simultaneous stop. Sainz’s strategy mirrored Leclerc’s, but his team optimized the out-lap by adjusting the rear wing angle to 14 degrees, reducing drag by 3.2% and gaining 0.15 seconds on the back straight. Pre-race simulations ran 14,000 iterations, factoring in VSC probability (38%), safety car deployment (12%), and tire wear variance. Red Bull’s strategy model prioritized track position over undercut potential, calculating a 73% probability of maintaining position if the opening stint exceeded 16 laps. Ferrari’s model favored an earlier stop window, but traffic congestion in the pit lane neutralized the theoretical 1.4-second advantage.
Fuel load management played a decisive role in the closing stints. Pérez carried 118 kg at the start, burning approximately 2.4 kg per lap. By lap 35, his car weighed 34 kg less, improving cornering agility and reducing tire wear by 0.06 seconds per lap. Ferrari’s fuel strategy was more aggressive, with Leclerc starting at 122 kg to accommodate a potential two-stop contingency. The additional mass increased rear tire degradation by 0.09 seconds per lap on the Hard compound, forcing Leclerc to manage slip angles through Turn 8 and preserve the rears for the final 10 laps. Pirelli’s degradation curves indicated a linear wear rate of 0.045 seconds per lap on the C3 compound after the initial warm-up phase, but real-world abrasion from the Baku surface increased this to 0.062 seconds per lap under high lateral load. Teams adjusted camber settings to -2.8 degrees front and -1.9 degrees rear to mitigate shoulder wear, sacrificing 0.08 seconds per lap in sector 2 for improved tire longevity. Verstappen, starting on the Medium compound, attempted a divergent strategy but struggled with rear thermal degradation after lap 22, his lap times drifting to 1:45.400 as the C4 compound lost structural integrity under high lateral loads. The VSC period also influenced pit stop sequencing and tire compound selection. Teams that pitted under VSC gained 18–22 seconds in track position relative to those that stayed out, as the speed limit in the pit lane (80 km/h) combined with the 50 km/h track limit reduced the time loss to approximately 24 seconds. Red Bull’s pit crew synchronized the wheel gun torque to 1,200 Nm, ensuring consistent nut engagement and minimizing cross-threading risk. The 2.14-second stop for Pérez was 0.18 seconds faster than the team’s season average, reflecting optimized jack positioning and wheel alignment protocols. Ferrari’s 2.21-second stop for Leclerc was mechanically sound but lost time due to a slight delay in the front-left wheel gun engagement, adding 0.07 seconds to the total. In the closing laps, Pérez maintained a 1.8-second gap to Leclerc, managing tire temperatures through conservative cornering lines and reduced ERS deployment on exit. Leclerc’s pace stabilized at 1:44.100, but the Hard compound’s limited grip window prevented him from closing the gap below 1.2 seconds. Sainz finished 3.4 seconds behind, his race defined by consistent sector times and minimal tire degradation.
The championship implications are immediate. Pérez’s victory extends his lead in the Drivers’ Championship to 14 points over Verstappen, while Ferrari closes the gap to Red Bull in the Constructors’ standings to 28 points. The race highlighted the importance of thermal management efficiency and pit stop precision on street circuits. Teams that optimize brake cooling, ERS deployment mapping, and tire warm-up cycles will hold a structural advantage in upcoming rounds with similar characteristics. Red Bull’s ability to manage the RB19’s aerodynamic balance and power unit thermal load under race conditions remains the benchmark, but Ferrari’s strategic adaptability and Sainz’s consistent pace indicate a narrowing performance delta. The data from Baku will inform setup adjustments for Monaco and Spain, where mechanical grip and tire preservation will dictate race outcomes. Engineering teams will prioritize rear suspension geometry revisions and brake duct airflow optimization to mitigate the thermal degradation patterns observed in Azerbaijan, ensuring competitive parity as the calendar shifts to high-downforce configurations.