Lot 58867816 · GA - TIFTON
2016 MERCEDES-BENZ GLC GLC300
VIN WDC0G4JB6GF016904
Price
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The vehicle
- Year 2016
- Make / model MERCEDES-BENZ GLC
- Trim level GLC300
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERT OF TITLE-SALVAGE
- VIN WDC0G4JB6GF016904
- Horsepower 241 к.с.
- Engine GLC300 2wd ['16-'19] (2.0-liter turbocharged GDI M274 I4)
- Exterior color dark gray
- Odometer 138,075 mi (222,210 km)
- Listing valid until 2026-07-28 17:00
Notes
Този Mercedes-Benz GLC от 2016 г. е стилен и надежден SUV с пробег от 222 210 км.
Умерени щети по задната част на автомобила.
🚗 2016 MERCEDES-BENZ GLC джип
📋 Основни характеристики:
пробег в км: 222210
каросерия: джип
цвят: тъмносив
ℹ️ Допълнителна информация:
Няма допълнителна информация.
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Damage assessment
Body zones
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Underbody
Condition assessment
The 2016 Mercedes-Benz GLC is listed by the auction with a salvage certificate of title and “REAR END” as the primary damage classification. The visible detached and downward-displaced rear bumper cover supports the stated rear-end damage claim; however, the salvage-title status cannot be confirmed from the photos.
The rear bumper cover is severely separated from the vehicle, exposing the lower rear structure and mounting area. The visible-side rear quarter panel has moderate creasing, uneven deformation, and scuffed paint above and behind the wheel arch. The fuel-filler door is missing, leaving the filler opening and internal components exposed.
A side-curtain airbag is visibly deployed, with airbag fabric hanging from the roofline and a deployed section visible along the side of the cabin. The front driver’s seat has a long tear across the cushion and a worn-through area on the outer bolster. A smaller tear is also visible on the lower section of the rear seat.
The vehicle requires a thorough physical inspection, including assessment of the rear structure, bumper mounting points, airbag and restraint systems, fuel-filler area, and any related mechanical or electrical components.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.