Lot 45246088 · Milwaukee
2020 MERCEDES-BENZ GLE 350 4MATIC
VIN 4JGFB4KB5LA082246
Price
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The vehicle
- Year 2020
- Make / model MERCEDES-BENZ GLE 350
- Trim level 4MATIC
- Series / platform code 4MATIC
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- VIN 4JGFB4KB5LA082246
- Drive type All-Wheel Drive
- Transmission Automatic · 9-ст.
- Horsepower 255 к.с.
- Steering location Left-Hand Drive (LHD)
- Exterior color Silver
- Odometer 87,074 mi (140,132 km)
Engine sound
Engine start-up clip from the auction listing -- not an independent inspection.
Notes
Този Mercedes-Benz GLE 350 4MATIC от 2020 г. е готов за нови приключения.
Тежък удар в предната част на автомобила.
Автомобилът стартира и се движи, но при стартиране се чува леко почукване, което се променя с оборотите на двигателя и може да изисква допълнителна проверка.
🚗 Mercedes-Benz GLE 350 4MATIC, 2020 г.
📋 Основни характеристики:
пробег: 140 132 км
двигател: 2.0 L, 4 цилиндъра, 255 к.с.
задвижване: 4x4
ℹ️ Допълнителна информация:
скоростна кутия: автоматична, 9 предавки
каросерия: джип
цвят: сребрист
ключове: налични
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Damage assessment
Body zones
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Underbody
Condition assessment
This 2020 Mercedes-Benz GLE 350 is recorded by the auction with a primary damage classification of “Front End.” Stage 1 reports that the visible evidence supports this classification: the front bumper cover and grille are missing, front fascia components are detached, the hood is deformed, and damage is visible around the front lamp and fender areas.
The front-end damage is severe and extensive. The bumper cover, outer fascia, and center grille are absent, exposing the radiator, brackets, wiring, cross-brace, and other internal front-end components. Several lower front panels and fascia pieces are detached and hanging forward or downward, with broken and irregular plastic mounting edges. The front corner and bumper mounting area are exposed and displaced.
A headlamp assembly is missing from the front lamp position on the left side of the image. The front fender is absent on the side shown, exposing wheel-area structure, wiring, brackets, and inner components. The wheel-well liner and adjacent plastic components are displaced or missing. The hood has a pronounced crease and deformation along its front edge, particularly at the left-front corner, with an uneven edge profile and irregular spacing above the exposed front end.
The supplied findings document visible exterior and front-structure damage only. They do not establish the condition of the radiator, cooling system, wiring, sensors, steering or suspension components, airbag system, engine, transmission, or vehicle frame. A comprehensive physical inspection and diagnostic scan are recommended before purchase, along with verification that all required front-end components and safety systems can be properly restored.
NHTSA VIN decoding identifies the vehicle as a 2020 Mercedes-Benz GLE-Class SUV, VIN 4JGFB4KB5LA082246, with the GLE350-4M trim designation. The decoded powertrain is a gasoline 2.0-liter turbocharged four-cylinder M264 engine rated at 255 horsepower, paired with a nine-speed automatic transmission. The vehicle is listed as a five-seat, two-row SUV built in Vance, Alabama, United States. The drive-type field was not separately provided in the decode.
NHTSA recall records supplied for this model year include campaigns concerning the dashboard and passenger-airbag deployment, emergency-call/eCall communication software, rearview-camera display and MBUX software, the engine-compartment prefuse-box wiring, air-conditioner drain hoses and possible water intrusion, rear door-window trim, the rear crossmember, ESP software, LED headlight adjustment, seat assembly, and—on vehicles with the relevant equipment or configuration—front radar/Active Brake Assist and the illuminated grille-star electrical ground. Recall completion status for this specific vehicle was not provided. All recall campaigns should be checked by VIN with an authorized Mercedes-Benz dealer before the vehicle is driven or purchased.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.