Lot 59657046 · OH - DAYTON

2016 PORSCHE MACAN

VIN WP1AB2A53GLB52544

Current bid
$8,100
≈ €7,500

The vehicle

  • Year 2016
  • Make / model PORSCHE MACAN
  • Series / platform code S
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERTIFICATE OF TITLE
  • VIN WP1AB2A53GLB52544
  • Horsepower 340 к.с.
  • Engine 3.0L twin-turbo Porsche M46.30 90 degree V6, 340 hp (Macan S)
  • Exterior color white
  • Odometer 163,977 mi (263,895 km)
  • Listing valid until 2026-09-02 17:00
Notes
Този Porsche Macan от 2016 г. е стилен и надежден избор за всеки шофьор. Леки повреди по боята и интериора. 🚗 2016 Porsche Macan джип 📋 Основни характеристики: пробег: 263 895 км каросерия: джип цвят: бял
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The auction record lists the vehicle condition as “Certificate of Title” with “Minor Dent/Scratches” as the primary damage classification. However, the photo-based assessment states that no clear exterior dent or scratch supporting this classification is visible, and that the certificate-of-title status cannot be confirmed from the photos. The visible damage is limited to minor cosmetic wear on the red leather interior. Several light-colored scuffs are present on the front edge of a seat cushion. The red leather driver’s seat also shows localized darkened discoloration and surface wear on the outer bolster and front edge. One NHTSA safety recall applies to certain 2015–2018 Porsche Macan vehicles, including this 2016 model. Recall 20V077000 concerns the fuel-pump service cover, which may contact the fuel-pump filter flange and cause cracking or fuel leakage. Porsche’s remedy involves inspecting and, where necessary, replacing the fuel-pump flange, applying protective film, and reworking or replacing the affected components. Recall completion should be verified with Porsche or an authorized Porsche dealer using the vehicle identification number.

Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.