Lot 50284656 · CT - HARTFORD SPRINGFIELD
2016 MERCEDES-BENZ CLA CLA250-4M
VIN WDDSJ4GB2GN304759
Current bid
$5,400
≈ €5,000
Archive
The vehicle
- Year 2016
- Make / model MERCEDES-BENZ CLA
- Trim level CLA250-4M
- Body type Sedan/Saloon
- Condition CERTIFICATE OF TITLE
- VIN WDDSJ4GB2GN304759
- Engine CLA250 4Matic sedan (2.0-liter turbocharged GDI M270 I4)
- Exterior color dark blue
- Odometer 114,268 mi (183,896 km)
- Listing valid until 2026-09-24 17:00
Notes
Този CLA от 2016 г. е стилен и компактен седан, готов за нов собственик.
Минорно странично увреждане.
🚗 2016 MERCEDES-BENZ CLA седан
📋 Основни характеристики:
пробег в км: 183896
двигател: 2.0L, 4 цилиндъра, 208 к.с.
задвижване: предно предаване
ℹ️ Допълнителна информация:
автоматична скоростна кутия, 7-степенна
тъмносин цвят
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists the vehicle with a “CERTIFICATE OF TITLE” condition and “SIDE” as the primary damage classification. Stage 1 reports that the visible photos do not support the “SIDE” classification, as no clear side-panel impact damage is visible. The certificate-of-title condition cannot be verified from the vehicle photos.
The documented visible damage is concentrated at the front bumper. A small painted bumper-cover section is missing on the left side adjacent to the grille, leaving a rectangular dark opening. Light-colored abrasion marks and finish scuffing are also present along the lower front bumper edge and left side. Both items are classified as minor.
VIN decoding identifies this vehicle as a 2016 Mercedes-Benz CLA-Class sedan, trim CLA250-4M, with a 2.0-liter four-cylinder gasoline engine. It was manufactured by Mercedes-Benz Cars in Kecskemét, Hungary. The decoded data also lists front driver and passenger airbags, side airbags for the first and second rows, direct tire-pressure monitoring, and seat-belt pretensioners and load limiters. Drive type and transmission details were not provided by the decoder.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.