Lot 57360926 · MI - DETROIT
2016 MERCEDES-BENZ CLS CLS400-4M
VIN WDDLJ6HB4GA174425
Current bid
$650
≈ €602
Archive
The vehicle
- Year 2016
- Make / model MERCEDES-BENZ CLS
- Trim level CLS400-4M
- Body type Coupe
- Condition CERTIFICATE OF TITLE
- VIN WDDLJ6HB4GA174425
- Engine CLS400 4Matic sedan (3.0-liter twin turbo M276 60° GDI V6)
- Exterior color dark gray
- Odometer 129,772 mi (208,847 km)
- Listing valid until 2026-07-21 17:00
Notes
Един стилен CLS от 2016 година, който очаква своя нов собственик.
Тежка странична щета в лявата част на автомобила.
🚗 2016 MERCEDES-BENZ CLS седан
📋 Основни характеристики:
пробег в км: 208847
ℹ️ Допълнителна информация:
каросерия: седан
цвят: тъмносив
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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
The 2016 Mercedes-Benz CLS is listed with an auction primary-damage classification of “SIDE” and an auction condition of “CERTIFICATE OF TITLE.” Stage 1 reports that the visible evidence supports the SIDE classification, with substantial damage concentrated on the left front side. The certificate-of-title status cannot be confirmed from photographs.
The most severe damage affects the left front door, which is heavily crushed and pushed inward. The outer panel has deep creasing and a large torn or open section near the lower rear area, with light-colored material exposed. The left front fender is moderately dented and creased around the rear of the wheel arch and the door opening. The rocker panel below the front door is also visibly deformed and has an uneven contour. Scrape marks and paint transfer are present on the damaged door and adjacent fender.
A black trim or grille section on the left side of the front bumper has a broken opening with irregular edges and missing material.
The findings describe significant visible collision damage to the vehicle’s left front side. The condition of concealed structural components, door mechanisms, safety systems, suspension, and mechanical components is not established by these findings and should be verified through a thorough physical inspection and repair estimate.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.