AN EXCELLENT START

The first thing that stands out about the MW500 is its fabric. It fits well. It's dense, strong, and reassuring. How do we achieve this? It is quite simple. We use the qualities of 3 components assembled to form a single fabric. The very comfortable material, thanks to the Lyocell, is made from eucalyptus wood pulp. Lyocell is a breathable, resistant fabric.

A PROPER FIT

You feel good in this sweatshirt. We worked on the fit to ensure it was loose enough to keep you comfortable during your swing. And fitted properly to give you that touch of elegance. The stretch fabric is designed to fit a maximum number of body types. The neckline is shaped to allow you to wear a polo shirt under your MW500 sweatshirt comfortably.

THE ESSENTIAL IS INVISIBLE TO THE EYE

The MW500 sweatshirt was carefully designed down to the last detail. It's simple, just turn it inside out and you'll see that nothing was overlooked. We paid close attention to all the finishing details, even those that are not visible.

THE COLOURS

We chose sober colours such as navy blue and mottled grey combined with more trendy shades so you can find the sweatshirt that matches your style.

TESTED AND APPROVED

We took the MW500 sweatshirt for a test drive to the Mecca of golf: Saint Andrews. We were able to discover conditions that were a "wee" bit extreme, but normal for November in Scotland, to push the product to its limits. The result? Validation!

YOUR COLOURS

The MW500 sweatshirt is very suitable for customisation in your team or golf colours.

weather conditions	mild weather
neck type	zip neck
zip type	half zip
hood	without hood
pocket	without pocket
main material	polyester
fit	standard
style	flecked, plain
number of pockets	pocket less
windproof	not windproof
sleeves length	long sleeves
thumb pass	without thumb pass
grammage	290 g/m²

Men's Golf Sweatshirt - MW500 Navy Blue

Features

Design benefits

Design details

Specifications

Details

Composition

Usage & care

Care instructions

Cleaning

Environmental impact

Ecodesign approach