These are cars aged 8-10 years. To get rid of such cars, sellers have to give huge discounts. Buyers should carefully weigh the risks, and sellers should prepare to negotiate.
In first place is the Audi Q3 (first generation, restyling). A car costs an average of 2 million rubles with a mileage of 129 thousand km. Three quarters of the cars are all-wheel drive, all with robots. The main disadvantages: capricious 1.4 and 2.0 turbo engines, expensive maintenance and modest ground clearance (real 160 mm).
Second place – BMW X1 (second generation). The crossover is estimated at 2.25 million rubles (mileage 110 thousand km). It has successful Aisin automatic machines, but extremely thermally loaded motors. They are incredibly expensive to repair and require only branded oils. After 100 thousand km, investments are inevitable, which frightens buyers.
Third place for Nissan Juke (first generation restyling). This is the only “Japanese” in the selection. The average price is 1.3 million rubles with low mileage (95 thousand km), but the car is not rented. The reason is impracticality: the trunk is only 180 liters. In addition, most versions are equipped with the unpopular Jatco CVT.
Next comes the Peugeot 3008 (1.7 million rubles, mileage 135 thousand km). The model suffers from two factors. Firstly, the brand itself is unpopular in the secondary market. Secondly, half of the cars are equipped with 1.6 EP6 engines with a monstrous reputation. But diesel versions with Aisin automatic transmissions are quite worthy of attention, Zinoviev noted.
The top 5 is completed by the Volkswagen Tiguan (second generation), which costs more than its competitors – about 2.4 million rubles with a mileage of 132 thousand km. The prices are clearly inflated: the Tiguan should not be half a million more expensive than the Kia Sportage with more reliable naturally aspirated engines. Successful versions (with manual transmission and 1.4 engine) are rare, and there are no queues for them.
It was previously reported that UAZ is testing new diesel models in extreme conditions.
