Lot 51123016 · CA - SO SACRAMENTO
2016 MERCEDES-BENZ GLA GLA250-4M
VIN WDCTG4GB2GJ191667
Price
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Archive
The vehicle
- Year 2016
- Make / model MERCEDES-BENZ GLA
- Trim level GLA250-4M
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition SALVAGE CERTIFICATE
- VIN WDCTG4GB2GJ191667
- Drive type AWD/All-Wheel Drive
- Horsepower 208 к.с.
- Engine GLA250 4Matic ['15-'20] (2.0-liter turbocharged GDI M270 I4)
- Exterior color black
- Odometer 115,207 mi (185,407 km)
- Listing valid until 2026-07-20 22:00
Notes
Този Mercedes-Benz GLA от 2016 г. е стилен и практичен избор за всеки ден.
Тежък удар в предната част.
🚗 2016 MERCEDES-BENZ GLA джип
📋 Основни характеристики:
пробег в км: 185407
цвят: черен
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
The auction record lists the vehicle with a SALVAGE CERTIFICATE and identifies FRONT END as the primary damage. Stage 1 reports that the visible hood, bumper, and headlight damage supports the stated FRONT END classification; however, the SALVAGE CERTIFICATE status cannot be confirmed from exterior photographs alone.
The front hood is severely buckled and deformed across the front edge, both front corners, and the right-front section. It has multiple folded areas and sits raised above the grille, creating a large, uneven gap around the grille and headlights.
The front bumper and lower fascia have extensive severe damage on the right side, including crushed and torn sections, cracking, broken surface material, missing pieces, and irregular openings near the grille and headlight. A long black bumper-related component is detached and lying in front of the vehicle.
The front right headlight area has moderate visible damage, with broken lens or housing material, an uneven outer edge, and adjacent exposed or fractured-looking components. Further inspection is required to assess concealed structural, mechanical, electrical, and safety-system damage before repair or purchase decisions are made.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.