Lot 61670726 · OR - PORTLAND NORTH
2018 MERCEDES-BENZ E E300
VIN WDDZF4JB8JA423133
Current bid
$125
≈ €116
Archive
The vehicle
- Year 2018
- Make / model MERCEDES-BENZ E
- Trim level E300
- Body type Sedan/Saloon
- Condition SALVAGE TITLE CERTIFICATE
- VIN WDDZF4JB8JA423133
- Transmission Automatic · 9-ст.
- Horsepower 241 к.с.
- Steering location Left-Hand Drive (LHD)
- Exterior color gray
- Odometer 43,401 mi (69,847 km)
- Listing valid until 2026-09-09 22:00
Engine sound
Engine start-up clip from the auction listing -- not an independent inspection.
Notes
Този Mercedes-Benz E-Class от 2018 г. е стилен седан с доказана надеждност.
Предната част на автомобила има сериозни щети по капака и предната решетка.
Двигателят запалва и работи, но се чува леко почукване, което изисква допълнителна проверка.
🚗 Mercedes-Benz E 2018
📋 Основни характеристики:
пробег: 69 847 км
мощност: 241 к.с.
задвижване: задно
ℹ️ Допълнителна информация:
скоростна кутия: автоматична, 9-степенна
каросерия: седан
цвят: сив
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Damage assessment
Body zones
AI-detected zones are pre-marked below — click a zone to adjust its severity.
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Underbody
Condition assessment
This 2018 Mercedes-Benz E-Class E300 is listed with a salvage title certificate and an auction primary-damage classification of front end. Stage 1 reports that the visible deformed hood and broken front grille support the auction’s front-end damage claim.
The hood has severe damage across the front center and leading edge, including a pronounced upward buckle, multiple creases, and an irregular opening above the grille. The grille is severely damaged, with broken or missing sections, displaced or fractured grille bars and surrounding trim, and dark components visible behind it.
According to the VIN decode, this is a left-hand-drive Mercedes-Benz E-Class sedan built in Germany. It is equipped with a 2.0-liter turbocharged four-cylinder gasoline engine, a nine-speed automatic transmission, and 18-inch wheels. Further inspection is required to determine the full extent of the damage and identify any affected components behind the visible front-end damage.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.