Rossignol Classique Sweatshirt mit 1/2-Reissverschluss
LColour2
Size2
Product details
Start your day by putting on the classic women's half-zip pullover, which feels incredibly soft against the skin. It is highly stretchy and offers total freedom of movement while keeping you warm during your winter activities. The moisture-wicking material ensures that sweat evaporates quickly. The inner collar is equipped with a protective feature to prevent skin irritation at the chin. Fit: classic. A close-fitting and sporty silhouette. Ideal warmth: insulating and breathable, the R-Warm fabric ensures you stay warm in all conditions. Quick-drying fabric: the R-Dry material keeps you comfortable and dry during moderate activities. Freedom of movement: elastic material allows you to move without restrictions.
Exact colour description | Black |
Target group | Women |
Item number | 54692798 |
Manufacturer | Rossignol |
Category | Sweaters |
Manufacturer No. | RLMWL08-200 |
Release date | 16.2.2025 |
Colour | Black |
Exact colour description | Black |
Upper | Polyester, Spandex |
Target group | Women |
Sweater type | Sweatshirt |
Clothing size | L |
Fastener | Zip |
Sleeve length | Long sleeves |
Collar shape | Banded collar |
Fit | Slim fit |
Style | Sports |
Country of origin | France |
CO₂ emissions | 6.22 kg |
Climate contribution | CHF 0.14 |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Sweaters» category have a defect within the first 24 months?
Source: Digitec Galaxus- RossignolNot enough data
- 1.Armedangels0 %
- 1.Awdis0 %
- 1.Cash-Mere0 %
- 1.Disney0 %
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- RossignolNot enough data
- 1.Selected0 days
- ArmedangelsNot enough data
- AwdisNot enough data
- BlendNot enough data
Return rate
How often is a product of this brand in the «Sweaters» category returned?
Source: Digitec Galaxus- RossignolNot enough data
- 1.vidaXL2.9 %
- 2.Difuzed4.2 %
- 3.Name it4.4 %
- 4.Vertbaudet4.9 %

