Lot 46259266 · MD - BALTIMORE EAST

2022 MERCEDES-BENZ C C300 4MATIC

VIN W1KAF4HB2NR061584

Current bid
$200
≈ €185

The vehicle

  • Year 2022
  • Make / model MERCEDES-BENZ C
  • Trim level C300 4MATIC
  • Body type Sedan/Saloon
  • Condition CERT OF SALVAGE > 75% DAMAGE
  • VIN W1KAF4HB2NR061584
  • Drive type AWD/All-Wheel Drive
  • Transmission Automatic
  • Horsepower 255 к.с.
  • Engine C300 4Matic sedan (EQ Boost 48v Mild Hybrid: 2.0L turbocharged M254 I4 + motor)
  • Exterior color black
  • Odometer 63,217 mi (101,738 km)
  • Listing valid until 2026-07-21 17:00
Notes
Този Mercedes-Benz C-Class от 2022 г. е стилен седан с пробег от 101 738 км. Тежко увреждане в предната част. 🚗 2022 Mercedes-Benz C-Class седан 📋 Основни характеристики: пробег: 101 738 км каросерия: седан цвят: черен ℹ️ Допълнителна информация: няма допълнителна информация Богато оборудване: няма данни за оборудване
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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 1 AI-written variant

gpt-5.6-luna

The 2022 Mercedes-Benz C is listed with an auction condition of “CERT OF SALVAGE > 75% DAMAGE” and a primary-damage classification of “FRONT END.” Stage 1 reports that the visible severe damage at the left front corner supports the FRONT END classification; however, the photographs do not establish that more than 75% of the vehicle is damaged. The left front fender and wheel-arch area are heavily crushed and deformed, with torn panel edges and exposed components around the wheel opening. The left front bumper corner is severely torn and displaced, leaving an open gap and exposing underlying components. The left exterior door mirror is missing, with its mounting area exposed. The left front corner of the hood also has an irregular, raised contour adjacent to the damaged fender and headlamp area. The findings document substantial collision damage concentrated at the left front end. The condition of components not visible in the provided findings, including any hidden or mechanical damage, has not been established.

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