Alpinestars Pant A-Aria Elite Blk
28Product details
The Alpinestars Pant A-Aria Elite is specifically designed for demanding cyclists who value performance and flexibility. These bike shorts offer optimal freedom of movement, allowing for unrestricted motion on the trails. The innovative fabric ensures that the shorts remain comfortable even during intense rides. The integrated moisture-wicking technology in the back interior waistband helps enhance comfort while riding by effectively managing sweat. These features make the A-Aria Elite Pants an ideal choice for mountain bikers active in downhill, BMX, and dirt disciplines. The shorts are designed for adults and provide a combination of functionality and style that meets the demands of modern cycling.
- Extremely flexible construction for maximum freedom of movement
- Integrated moisture-wicking technology in the waistband
- Suitable for various cycling disciplines, including downhill and BMX.
Bike area of use | BMX/Dirt, Downhill, Electric bike, Mountain bike |
Target group | Men |
Item number | 49832983 |
Manufacturer | Alpinestars |
Category | Bike shorts |
Release date | 30.9.2024 |
Colour | Black |
Exact colour description | Black |
Target group | Men |
Age group | Adults |
Bike area of use | BMX/Dirt, Downhill, Electric bike, Mountain bike |
Trouser size | 28 |
CO₂-Emission | |
Climate contribution |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Bike shorts» category have a defect within the first 24 months?
Source: Digitec Galaxus- AlpinestarsNot enough data
- 1.Agu0 %
- 1.Alé0 %
- 1.Btwin0 %
- 1.Dynafit0 %
Warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Digitec Galaxus- AlpinestarsNot enough data
- 1.Castelli0 days
- 2.Endura8 days
- 3.Assos19 days
- 100%Not enough data
Return rate
How often is a product of this brand in the «Bike shorts» category returned?
Source: Digitec Galaxus- AlpinestarsNot enough data
- 1.Btwin6.7 %
- 2.Gore Wear12.7 %
- 3.Sqlab13.4 %
- 4.Agu13.7 %