Description
*Note* Most of these have repairs, see last photo for an example. Being Grade 2 though, they can have missing components such as buttons. There are a range of flecktarn colours due to age and manufacture - see 4th image for an example
These field shirts are what the German army issues to its soldiers. Being as hard wearing as they are, nothing is eternal (especially with military use) and these ones have some repairs or may be missing the odd button or the likes. But for those who are handy with a needle or want a cheap base layer for a ghillie suit, these are for you! With the German flecktarn camouflage pattern, this shirt will effectively blend into temperate woodland environments. Match this shirt with flecktarn trousers and headwear for an unbeatable uniform.
In terms of construction, the shirt is made from a rugged poly/cotton fabric. Snap domes line the full length of the storm flap which covers the zip for effective weatherproofing. Two snap dome chest pockets provide ample storage alongside a utility pocket on the sleeve. Being a military garment, this shirt features shoulder epaulettes and a hook and loop name strip.
Features:
- Genuine German Army surplus
- Two snap dome closure chest pockets
- Utility pocket on the sleeve
- Heavy duty zip-up front with storm flap
- Shoulder epaulettes
- Hook and loop adjustable cuffs
- Hook and loop Name strip on the chest
- German flag on the left shoulder
Sizing: The first number is the chest circumference, the second size is the recommended height of the wearer. A "Small (88cm) / Regular" will fit a person around 170-180cm tall with an 88cm chest size. For more information, check out our sizing guide.
Height:
Short: 160-170cm
Regular: 170-180cm
Long: 180-190cm
XLong: 190-200cm
Content: 65% Cotton 35% Polyester
Condition: Used/Grade 2 - Grade 2 items generally are very well used, they will have broken or missing components. They may be salvageable with some TLC or usable for spare parts. If you want more information on our condition ratings, check out our condition guide
