Lot 53808266 · PA - PHILADELPHIA EAST-SUBLOT

2014 MERCEDES-BENZ C C300 4 MATIC

VIN WDDGF8AB9ER311561

Current bid
$1,100
≈ €1,019

The vehicle

  • Year 2014
  • Make / model MERCEDES-BENZ C
  • Trim level C300 4 MATIC
  • Body type Sedan/Saloon
  • Condition CERTIFICATE OF SALVAGE
  • VIN WDDGF8AB9ER311561
  • Drive type AWD/All-Wheel Drive
  • Engine C300 4Matic sedan (3.5-liter M276 60° GDI V6)
  • Exterior color blue-gray
  • Odometer 96,282 mi (154,950 km)
  • Listing valid until 2026-07-20 17:00
Notes
Този Mercedes-Benz C-класа от 2014 г. е стилен седан с пробег от 154 950 км. Умерен удар в предната част. 🚗 2014 MERCEDES-BENZ C седан 📋 Основни характеристики: пробег: 154 950 км двигател: 2.0 L, 4 цилиндъра, 184 к.с. задвижване: задно ℹ️ Допълнителна информация: скоростна кутия: автоматична, 7-степенна цвят: сив
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The 2014 Mercedes-Benz C is listed with a Certificate of Salvage, with FRONT END recorded as the auction’s primary damage classification. The visible front-end damage supports the FRONT END classification. However, the Certificate of Salvage status cannot be confirmed from exterior photographs alone. The front end has severe damage concentrated on the left side. The hood is buckled and raised, with pronounced deformation along the left front corner and edge. The left headlamp assembly is extensively damaged, with missing outer components and exposed internal parts. The front bumper cover is deformed at the left corner, has open gaps around the headlamp area, and shows a visible split or crack along the lower center section. The adjacent front fender is creased and deformed, with disturbed panel edges. Inside the vehicle, the outer bolster of the front driver’s seat has torn and worn-through upholstery, exposing lighter-colored material beneath. A thorough inspection should be carried out to assess the structural, lighting, cooling, restraint, and mechanical systems affected by the front-end impact, as well as the extent of any required repairs.

Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.