MARIO LIGHT JACKET
Fusalp, official supplier of the GB Snowsport Alpine and para-Alpine ski team, in the run-up to the 2022 Beijing Olympic Games and the 2023 FIS Ski World Championships in Courchevel-Méribel, has developed an urban ready-to-wear capsule that includes th MARIO sweatshirt. This bestseller of the Fusalp Collections is a wardrobe essential that can be worn as a sweatshirt or as a second layer under a ski jacket or in the city.
Fusalp, appointed official supplier of the GB Snowsport Alpine and para-Alpine ski team, ahead of the 2022 Beijing Olympic Games and the 2023 FIS Ski World Championships in Courchevel-Méribel, has designed a line of high-performance clothing for the British team with aerodynamic qualities for greater speed and ease of movement on the slopes. This collection is composed of a Performance capsule for the GB Snowsport team skiers and an Urban Ready-to-Wear capsule available to the general public.
Dynamic graphics, a balance between technicality and comfort and a range of colours inspired by the heritage of Great Britain are the hallmarks of this capsule that includes the MARIO sweatshirt, a great combination of technicality and style. It is made of Powerstretch material with a brushed interior and benefits from Therma Technology, a thermoregulation process that provides maximum warmth while evacuating perspiration to the outside. The fit is close to the skin.
The MARIO sweatshirt with stand-up collar and half-zip opening can be worn in the city as well as on the ski slopes.
Composition & Care instructions +
Close zippers before washing
Wash with anti discoloration agent
Do not bleach
Do not add fabric softener
Do not fold and store your garment while wet
Remove garment from washing machine immediately after spin drying and dry it in the tumble dryer
Style & Cut +
This style is designed to be worn very fitted.
We advise you to choose the size above your usual size.
The model is 185cm and wears a size M
- Therma technology
- High collar
- 1/2 zip opening
- Powerstretch fabric sweater
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