Lot 57332936 · NJ - TRENTON
2025 BMW 228XI xDrive GC
VIN WBA23GG03S7S87274
Current bid
$7,000
≈ €6,481
Archive
The vehicle
- Year 2025
- Make / model BMW 228XI
- Trim level xDrive GC
- Series / platform code 2-Series
- Body type Sedan/Saloon
- Condition CERT OF TITLE-SALVAGE
- VIN WBA23GG03S7S87274
- Drive type AWD/All-Wheel Drive
- Horsepower 241 к.с.
- Exterior color light gray
- Odometer 10,479 mi (16,864 km)
- Listing valid until 2026-09-04 17:00
Notes
Това BMW от 2025 г. е истинска находка за ценителите на марката.
Тежко увреждане в задната част на автомобила.
🚗 BMW 2-Series 228XI, 2025 г.
📋 Основни характеристики:
пробег 16 864 км
2.0 L, 4 цилиндъра, 241 к.с.
4x4 задвижване
ℹ️ Допълнителна информация:
каросерия седан
цвят светлосив
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists the vehicle as having a salvage title, with “REAR END” recorded as the primary damage classification. Stage 1 reports that the severe visible rear damage supports the stated rear-end damage claim; however, the salvage-title status cannot be confirmed from photos.
The left rear quarter panel is severely crushed and folded above and behind the rear wheel, with multiple deep creases and irregular surfaces. The deformation extends toward the tail-lamp area and wheel opening. Much of the left rear bumper cover and bumper-corner trim is missing, with broken mounting pieces, exposed wiring, and internal rear components visible. The left rear tail-lamp assembly is broken and displaced, with sections of its lens or housing missing and internal components exposed.
According to the VIN decoding, this is a 2025 BMW 228i xDrive Gran Coupe sedan with all-wheel drive, a 2.0-liter four-cylinder gasoline engine rated at 241 horsepower. The vehicle was manufactured by BMW AG in Leipzig, Germany. Further inspection is required to assess concealed damage, mounting points, wiring, lighting systems, and the condition of components behind the damaged rear bodywork.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.