Lot 61327516 · TX - DALLAS
2020 MERCEDES-BENZ GLB GLB250
VIN W1N4M4GB9LW050376
Current bid
$7,700
≈ €7,130
Archive
The vehicle
- Year 2020
- Make / model MERCEDES-BENZ GLB
- Trim level GLB250
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERTIFICATE OF TITLE (P)
- VIN W1N4M4GB9LW050376
- Drive type FWD/Front-Wheel Drive
- Transmission Automated Manual Transmission (AMT) · 8-ст.
- Horsepower 221 к.с.
- Steering location Left-Hand Drive (LHD)
- Exterior color dark blue
- Odometer 69,716 mi (112,197 km)
- Listing valid until 2026-08-13 20:00
Notes
Този Mercedes-Benz GLB от 2020 година е чудесен избор за всеки, който търси стилен и практичен SUV.
🚗 Mercedes-Benz GLB 2020
📋 Основни характеристики:
пробег в км: 112197
2.0L, 4 цилиндъра, 221 к.с.
предно предаване
ℹ️ Допълнителна информация:
ръчна, 8 скорости
джип
тъмносин
ключове: не е посочено
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Damage assessment
Body zones
No AI damage assessment yet for this lot.
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Underbody
Condition assessment
The auction record lists the vehicle as having a “CERTIFICATE OF TITLE (P)” condition and identifies “SIDE” as the primary damage. These are auction designations and are not, by themselves, confirmed findings. Stage 1 reports that the provided photos do not show clear side-collision damage, so the “SIDE” damage claim is not supported by the visible evidence. The “CERTIFICATE OF TITLE (P)” status cannot be confirmed from the photos.
No specific damage findings were provided.
The vehicle is decoded as a 2020 Mercedes-Benz GLB250 GLB-Class SUV with front-wheel drive, a 2.0-litre turbocharged four-cylinder gasoline engine, and an eight-speed automated manual transmission. It was manufactured by Mercedes-Benz in Aguascalientes, Mexico. The decoded equipment includes ABS, electronic stability control, traction control, adaptive cruise control, pedestrian automatic emergency braking, a rear visibility system, LED low-beam headlights, direct tire-pressure monitoring, and front and side-curtain airbags.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.