Lot 54733386 · MD - BALTIMORE EAST
2016 MERCEDES-BENZ E E350-4M
VIN WDDHF8JB1GB220963
Current bid
$1,100
≈ €1,019
Archive
The vehicle
- Year 2016
- Make / model MERCEDES-BENZ E
- Trim level E350-4M
- Body type Sedan/Saloon
- Condition CERTIFICATE OF TITLE
- VIN WDDHF8JB1GB220963
- Drive type AWD/All-Wheel Drive
- Engine E350 4Matic sedan ['12-'16] (3.5-liter M276 60° GDI V6)
- Exterior color dark gray
- Odometer 128,752 mi (207,206 km)
- Listing valid until 2026-07-30 04:00
Notes
Този Mercedes-Benz E-Class от 2016 г. е стилен и надежден седан, готов за новия си собственик.
Леки повреди по задната броня и лявото задно крило.
🚗 2016 Mercedes-Benz E-Class седан
📋 Основни характеристики:
пробег в км: 207206
задвижване: 4x4
ℹ️ Допълнителна информация:
каросерия: седан
цвят: тъмносив
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists the vehicle as having a **Certificate of Title** and classifies the primary damage as **minor dents/scratches**. Stage 1 reports that the certificate-of-title status cannot be confirmed from the photos. The visible evidence supports minor exterior scuffing, but a protruding or detached exterior component is also visible; therefore, the photos do not fully support a damage description limited to minor dents and scratches.
The visible damage includes a narrow exterior piece protruding from the left rear quarter-panel area, forward of the rear wheel. The exact component cannot be identified from the available image. Light abrasion marks and an orange-colored paint-transfer mark are also visible on the left side and lower central area of the rear bumper.
According to the VIN decode, this is a 2016 Mercedes-Benz E-Class E350-4M sedan with all-wheel drive, a 3.5-liter six-cylinder gasoline engine, and a German-built passenger-car specification. A physical inspection is recommended to identify and secure or replace the protruding trim/component and to check for any damage behind the affected exterior areas.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.