Lot 55639116 · CA - SUN VALLEY

2019 MERCEDES-BENZ GLA GLA250-4M

VIN WDCTG4GB2KJ586361

Current bid
$3,800
≈ €3,519

The vehicle

  • Year 2019
  • Make / model MERCEDES-BENZ GLA
  • Trim level GLA250-4M
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition SALVAGE CERTIFICATE
  • VIN WDCTG4GB2KJ586361
  • Drive type AWD/All-Wheel Drive
  • Transmission Automated Manual Transmission (AMT) · 7-ст.
  • Horsepower 208 к.с.
  • Engine GLA250 4Matic ['15-'20] (2.0-liter turbocharged GDI M270 I4)
  • Steering location Left-Hand Drive (LHD)
  • Exterior color dark blue
  • Odometer 57,817 mi (93,047 km)
  • Listing valid until 2026-08-03 22:00
Notes
Този Mercedes-Benz GLA от 2019 г. е стилен и практичен избор за всеки ден. Тежка щета в предната част. 🚗 2019 MERCEDES-BENZ GLA джип 📋 Основни характеристики: пробег в км: 93047 цвят: тъмносин ℹ️ Допълнителна информация: каросерия: джип
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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 2019 Mercedes-Benz GLA is listed with a salvage certificate, and the auction’s primary-damage designation is “front end.” Stage 1 reports that the visible front-end damage supports the unverified “front end” claim; however, the salvage-certificate status cannot be confirmed from photographs. Severe damage is visible at the front-left corner. The headlamp assembly and outer fender are missing, leaving an open cavity with exposed components, mounting areas, and wiring. The front-left bumper corner has broken, irregular edges and missing cover material around the headlamp area. The front-left edge of the hood is raised and creased and does not align with the adjacent panel. The forward section and edge of the left front door also show creasing, irregular contours, and surface scuffing. The exposed front-end components and wiring indicate that the vehicle will require detailed inspection and repair before its full mechanical, electrical, structural, and safety condition can be assessed.

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