Lot 62346646 · FL - TAMPA SOUTH
2017 MERCEDES-BENZ C C300
VIN WDDWJ4JB0HF356445
Current bid
$875
≈ €810
The vehicle
- Year 2017
- Make / model MERCEDES-BENZ C
- Trim level C300
- Body type Coupe
- Condition CERTIFICATE OF TITLE (P)
- VIN WDDWJ4JB0HF356445
- Transmission Automatic · 9-ст.
- Horsepower 241 к.с.
- Steering location Left-Hand Drive (LHD)
- Exterior color gray
- Odometer 190,175 mi (306,056 km)
- Listing valid until 2026-09-29 17:00
Notes
Този Mercedes-Benz C-Class от 2017 г. е стилен и мощен избор за всеки шофьор.
Умерени щети по покрива.
🚗 2017 MERCEDES-BENZ C-Class купе
📋 Основни характеристики:
пробег в км: 306056
2.0L, 4 цилиндъра, 241 к.с.
задно предаване
ℹ️ Допълнителна информация:
автоматична скоростна кутия, 9 скорости
купе
сив цвят
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Damage assessment
Body zones
AI-detected zones are pre-marked below — click a zone to adjust its severity.
Top
Underbody
Condition assessment
The auction record lists a “Certificate of Title (P)” condition and identifies “TOP/ROOF” as the primary damage. Separately, Stage 1 reports that the photographs show a raised roof-mounted sunroof panel, which is consistent with roof-area involvement, but no definite structural roof deformation is visibly confirmed. The certificate-of-title status cannot be verified from exterior photographs.
The roof-mounted dark glass sunroof panel is visibly raised along its rear edge above the surrounding roof surface. A small cover is missing from a round opening in the front bumper. Inside, the driver’s seat cushion and outer bolster have extensive cracking, abrasion, and torn upholstery, with lighter underlying material visible. The lower driver-door-sill trim also has multiple light-colored scuff and abrasion marks.
VIN decoding identifies the vehicle as a 2017 Mercedes-Benz C-Class C300 coupe, manufactured in Germany. It is equipped with a 2.0-liter four-cylinder gasoline engine, an automatic nine-speed transmission, and left-hand drive. No specific mechanical or structural inspection results were provided.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.