2018 Porsche 911 GT2 RS vs 2024 Rimac Nevera
AI Telemetry Verdict:In this head-to-head, the 2024 Rimac Neveraholds the statistical edge in Performance Index (998). For the technical touge passes of Mount Fuji, the 2018 Porsche 911 GT2 RSis the superior technical chassis due to its refined lateral G-force profile.
2018 Porsche 911 GT2 RS
Porsche
2024 Rimac Nevera
Rimac"In a head-to-head battle, the 2024 Rimac Nevera edges out the 2018 Porsche 911 GT2 RS primarily due to its exceptional Performance Index performance."
| 2018 Porsche 911 GT2 RS | Metric | 2024 Rimac Nevera |
|---|---|---|
| 920 | Performance Index | 998 |
| 8.9 | Speed | 9.5 |
| 9 | Handling | 8.8 |
| 8.4 | Acceleration | 10 |
| 8.6 | Launch | 10 |
| 9.3 | Braking | 9.2 |
| 2 | Offroad | 2.2 |
| 211 | Top Speed (MPH) | 258 |
| 3241 | Weight (lbs) | 4740 |
| RWD | Drivetrain | AWD |
| 290,000 | Price (CR) | 2,200,000 |
📈 Technical Data Analysis:
Speed & Acceleration Analysis
When it comes to straight-line performance, the 2018 Porsche 911 GT2 RS boasts a speed rating of 8.9, while the 2024 Rimac Nevera hits 9.5.
The 2024 Rimac Nevera pulls ahead in long stretches, making it a formidable opponent on the Tokyo highways.
Handling & Cornering Dynamics
In the tight technical sections of the Mount Fuji passes, handling is everything. The 2018 Porsche 911 GT2 RS features a handling score of 9, whereas the 2024 Rimac Nevera manages 8.8.
The 2018 Porsche 911 GT2 RS offers surgical precision in corners, allowing for later braking and earlier power application.
Launch & Braking Efficiency
Off the line, the 2018 Porsche 911 GT2 RS uses its 8.6 launch rating to grip and go, while the 2024 Rimac Nevera relies on its 10 rating.
Braking from high speeds is equally critical; the 2018 Porsche 911 GT2 RS stops with a score of 9.3, while the 2024 Rimac Nevera records 9.2.
🏁 Race Scenario Breakdown
Higher top speed rating allows for sustained high-velocity overtaking.
Superior braking and handling allow for more aggressive entry and exit speeds.
Suspension travel and tire compound optimization for loose surfaces.