2005 Ford GT vs 2022 Porsche 911 GT3 RS
AI Telemetry Verdict:In this head-to-head, the 2022 Porsche 911 GT3 RSholds the statistical edge in Performance Index (890). For the technical touge passes of Mount Fuji, the 2022 Porsche 911 GT3 RSis the superior technical chassis due to its refined lateral G-force profile.

2005 Ford GT
Ford
2022 Porsche 911 GT3 RS
Porsche"Analyzing the raw telemetry, the 2022 Porsche 911 GT3 RS proves to be the more capable machine in all-around festival racing, outclassing the 2005 Ford GT."
| 2005 Ford GT | Metric | 2022 Porsche 911 GT3 RS |
|---|---|---|
| 835 | Performance Index | 890 |
| 8.4 | Speed | 7.8 |
| 8 | Handling | 9.6 |
| 7.8 | Acceleration | 8.2 |
| 8.2 | Launch | 8.5 |
| 8.1 | Braking | 9.8 |
| 3.5 | Offroad | 2.2 |
| 205 | Top Speed (MPH) | 184 |
| 3450 | Weight (lbs) | 3196 |
| RWD | Drivetrain | RWD |
| 300,000 | Price (CR) | 240,000 |
📈 Technical Data Analysis:
Speed & Acceleration Analysis
When it comes to straight-line performance, the 2005 Ford GT boasts a speed rating of 8.4, while the 2022 Porsche 911 GT3 RS hits 7.8.
The 2005 Ford GT has the edge in top-end velocity, reaching 205 MPH compared to the 2022 Porsche 911 GT3 RS's 184 MPH.
Handling & Cornering Dynamics
In the tight technical sections of the Mount Fuji passes, handling is everything. The 2005 Ford GT features a handling score of 8, whereas the 2022 Porsche 911 GT3 RS manages 9.6.
The 2022 Porsche 911 GT3 RS maintains superior stability through high-speed sweepers, minimizing the risk of traction loss.
Launch & Braking Efficiency
Off the line, the 2005 Ford GT uses its 8.2 launch rating to grip and go, while the 2022 Porsche 911 GT3 RS relies on its 8.5 rating.
Braking from high speeds is equally critical; the 2005 Ford GT stops with a score of 8.1, while the 2022 Porsche 911 GT3 RS records 9.8.
🏁 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.