Freddy Wr. Up
SOnly 1 piece in stock at third-party supplier
Product details
Long WR.UP pants with a high waist and skinny fit. This garment is made from stretch jersey fabric, made in Italy. A versatile, practical model that is comfortable to wear and can adapt to both a casual look with a t-shirt and blazer as well as a glamorous look with stiletto heels and key accessories. Freddy's special patented WR.UP technology gives this piece a unique shape and a push-up effect, perfectly accentuating the curves of every woman.
Waist | S |
Exact colour description | Grey |
Material composition | 88% polyamide, 12% spandex |
Trouser type | Leggings |
Target group | Women |
flange height | Cheer |
Item number | 12882884 |
Manufacturer | Freddy |
Category | Casual trousers |
Manufacturer no. | WRUP1HS924G360-3 |
Release date | 10.3.2020 |
Colour | Grey |
Exact colour description | Grey |
Upper | Polyamide |
Material composition | 88% polyamide, 12% spandex |
Target group | Women |
Trouser type | Leggings |
Trouser size | S |
Waist | S |
flange height | Cheer |
Trouser style length | Long |
Fastener | Zip |
Style | Casual |
Pattern | Unicoloured |
Special sizes | Normal size |
Washing instructions | Wash at 30°C |
CO₂-Emission | |
Climate contribution |
Length | 27.60 cm |
Width | 12.40 cm |
Height | 6.30 cm |
Weight | 262 g |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Casual trousers» category have a defect within the first 24 months?
Source: Digitec Galaxus- FreddyNot enough data
- 1.Alberto0 %
- 1.Blend0 %
- 1.Dockers0 %
- 1.La Redoute Collections0 %
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- FreddyNot enough data
- 1.Jack & Jones0 days
- AlbertoNot enough data
- BlendNot enough data
- DockersNot enough data
Return rate
How often is a product of this brand in the «Casual trousers» category returned?
Source: Digitec Galaxus- FreddyNot enough data
- 1.Name it4.3 %
- 2.Erwin Müller5.7 %
- 3.Vertbaudet6.7 %
- 4.Pieces8.5 %