Lot 53021226 · PA - CHAMBERSBURG
2016 BMW 320 xDrive SA
VIN WBA8E5G58GNU19274
Current bid
$1,050
≈ €972
Archive
The vehicle
- Year 2016
- Make / model BMW 320
- Trim level xDrive SA
- Series / platform code 3-series
- Body type Sedan/Saloon
- Condition CERT OF SALVAGE > 75% DAMAGE
- VIN WBA8E5G58GNU19274
- Drive type AWD/All-Wheel Drive
- Horsepower 181 к.с.
- Exterior color white
- Odometer 73,681 mi (118,578 km)
- Listing valid until 2026-08-07 17:00
Notes
BMW 320 от 2016 г. – стил и динамика в едно!
Умерени щети по предната броня.
🚗 BMW 3-series 320, 2016 г.
📋 Основни характеристики:
пробег в км: 118578
двигател: 2.0 L, 4 цилиндъра, 181 к.с.
задвижване: 4x4
ℹ️ Допълнителна информация:
каросерия: седан
цвят: бял
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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 as having a salvage certificate with “more than 75% damage” and identifies the primary damage as “front end.” These are unverified auction classifications.
Stage 1’s photo assessment supports localized front-end bumper damage but does not support the claim of more than 75% damage. Most visible exterior panels and the interior appear intact in the provided photos.
The documented damage is concentrated on the vehicle’s right-front bumper corner. The painted bumper cover has multiple dark abrasion marks, scraped paint, and localized surface gouging around the corner and adjacent lower opening. The damage is assessed as moderate and may require bumper-cover repair or replacement, followed by refinishing; the condition of any mounting points or components behind the bumper should be confirmed through a physical inspection.
VIN decoding identifies this vehicle as a 2016 BMW 320i xDrive sedan with a 2.0-liter four-cylinder gasoline engine and all-wheel drive. It was manufactured by BMW AG at the Rosslyn plant in South Africa. The VIN decoded cleanly, including a valid check digit. Recall status was not checked.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.