2017 Ford GT vs 2024 McLaren 750S Spider
AI Telemetry Verdict:In this head-to-head, the 2024 McLaren 750S Spiderholds the statistical edge in Performance Index (898). For the technical touge passes of Mount Fuji, the 2024 McLaren 750S Spideris the superior technical chassis due to its refined lateral G-force profile.
2017 Ford GT
Ford
2024 McLaren 750S Spider
McLaren"The 2024 McLaren 750S Spider dominates the competition with superior Performance Index, making it the clear choice for all-around festival racing."
| 2017 Ford GT | Metric | 2024 McLaren 750S Spider |
|---|---|---|
| 885 | Performance Index | 898 |
| 8.9 | Speed | 8.8 |
| 8.6 | Handling | 8.9 |
| 8.2 | Acceleration | 8.7 |
| 8.5 | Launch | 9 |
| 8.8 | Braking | 9.1 |
| 2.8 | Offroad | 2 |
| 216 | Top Speed (MPH) | 206 |
| 3054 | Weight (lbs) | 3062 |
| RWD | Drivetrain | RWD |
| 400,000 | Price (CR) | 345,000 |
📈 Technical Data Analysis:
Speed & Acceleration Analysis
When it comes to straight-line performance, the 2017 Ford GT boasts a speed rating of 8.9, while the 2024 McLaren 750S Spider hits 8.8.
The 2017 Ford GT has the edge in top-end velocity, reaching 216 MPH compared to the 2024 McLaren 750S Spider's 206 MPH.
Handling & Cornering Dynamics
In the tight technical sections of the Mount Fuji passes, handling is everything. The 2017 Ford GT features a handling score of 8.6, whereas the 2024 McLaren 750S Spider manages 8.9.
The 2024 McLaren 750S Spider maintains superior stability through high-speed sweepers, minimizing the risk of traction loss.
Launch & Braking Efficiency
Off the line, the 2017 Ford GT uses its 8.5 launch rating to grip and go, while the 2024 McLaren 750S Spider relies on its 9 rating.
Braking from high speeds is equally critical; the 2017 Ford GT stops with a score of 8.8, while the 2024 McLaren 750S Spider records 9.1.
🏁 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.