Lot 55880176 · MI - DETROIT
2017 AUDI Q3 quattro Prestige
VIN WA1GCCFSXHR002131
Price
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The vehicle
- Year 2017
- Make / model AUDI Q3
- Trim level quattro Prestige
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERTIFICATE OF TITLE
- VIN WA1GCCFSXHR002131
- Drive type AWD/All-Wheel Drive
- Transmission Automatic
- Horsepower 200 к.с.
- Engine 2.0L I4 Turbo Gas
- Steering location Left-Hand Drive (LHD)
- Exterior color dark blue
- Odometer 143,743 mi (231,331 km)
- Listing valid until 2026-08-11 17:00
Notes
Този Audi Q3 от 2017 г. е чудесен избор за всеки, който търси надежден и стилен SUV.
Тежък удар в предната част.
🚗 Audi Q3 2017 г.
📋 Основни характеристики:
пробег: 231 331 км
двигател: 2.0 L, 4 цилиндъра, 184 к.с.
задвижване: предно предаване
ℹ️ Допълнителна информация:
каросерия: джип
цвят: тъмносин
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Damage assessment
Body zones
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Underbody
Condition assessment
The vehicle is a 2017 Audi Q3. The auction record lists the condition as “CERTIFICATE OF TITLE” and identifies the primary damage as “FRONT END.” These are auction designations; the certificate-of-title status cannot be confirmed from the available photos. The visible evidence supports the unverified front-end damage code: the front bumper cover, grille, and both headlamp assemblies are missing. The radiator and other front-end components are exposed, but the extent of any underlying structural, mechanical, cooling-system, or electrical damage cannot be determined from these findings alone.
NHTSA records show three recalls applicable to certain vehicles of this make, model, and year. They concern front turn-signal operation on vehicles with LED headlights (19V385000), brake-light operation during emergency braking when the parking brake is used (17V400000), and side-marker-light operation (16V642000). Recall repairs were specified as free software or body-control-module updates; the vehicle’s completion status should be verified with Audi or through an authorized dealer before purchase.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.