Lot 54436166 · CA - VAN NUYS

2016 MERCEDES-BENZ CLA CLA250

VIN WDDSJ4EB1GN340087

Price
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The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ CLA
  • Trim level CLA250
  • Body type Sedan/Saloon
  • Condition SALVAGE CERTIFICATE
  • VIN WDDSJ4EB1GN340087
  • Engine CLA250 sedan (2.0-liter turbocharged GDI M270 I4)
  • Exterior color dark gray
  • Odometer 86,441 mi (139,113 km)
  • Listing valid until още не е насрочена
Notes
Този CLA 250 от 2016 г. е стилен и динамичен седан, готов за нов собственик. Има леки козметични забележки по предната и задната броня, както и по предния капак и калник. 🚗 2016 MERCEDES-BENZ CLA 250 📋 Основни характеристики: пробег: 139 113 км каросерия: седан цвят: тъмносив ℹ️ Допълнителна информация: няма данни
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The 2016 Mercedes-Benz CLA is listed with a salvage certificate and “UNDERCARRIAGE” as the auction’s primary damage classification. These are auction designations and are not independently verified by the available findings. The undercarriage condition cannot be confirmed from the provided photos and requires a physical inspection. The salvage-certificate status is also not visually verifiable. Visible damage is primarily cosmetic. The hood has multiple small paint chips and light surface scratches. Light white scuffing and areas of paint loss are present on the front bumper and lower front fascia, with an additional localized scuff on the front fender near the side mirror. The rear bumper shows multiple horizontal scuffs and several areas of missing or abraded paint across its center and lower sections; this is the most noticeable exterior cosmetic damage. Inside, the steering-wheel grip and center armrest show minor surface wear, including shiny worn areas and light abrasions. No vehicle specification or recall information was provided, and recall status was not checked. A thorough physical inspection should include the undercarriage, structural components, suspension, drivetrain, and any areas potentially associated with the auction’s damage classification.

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