Svd Merch

Description: The famous sniper rifle is the heroine of many conflicts, as well as films and computer games. At the same time, this rifle has proven itself as a high-quality and unpretentious tool in the hands of snipers

Description: A white text-based composition on a black background. The top line features a mathematical equation: '$M = U S\Delta \sigma ma VT$'. The bottom line contains the text 'If all else fails, try SVD'. The font is sans-serif and bold.

Description: The famous sniper rifle is the heroine of many conflicts, as well as films and computer games.

Description: PSO-1 (Optical sniper sight) is one of the main sights of the Soviet and Russian sniper weapons. Initially, the sight was developed for the Dragunov sniper rifle in 1963

Description: The famous sniper rifle is the heroine of many conflicts, as well as films and computer games.

Description: One of the most recognized and recognizable sniper rifles in the world's history, the Russian (Soviet) Dragunov SVD-63. It has proved its high effeciency during numerous conflicts and wars around the world.

Description: DRAGUNOV TEES AVAILABLE

Description: PSO-1 (Optical sniper sight) is one of the main sights of the Soviet and Russian sniper weapons. Initially, the sight was developed for the Dragunov sniper rifle in 1963

Description: The famous sniper rifle is the heroine of many conflicts, as well as films and computer games. At the same time, this rifle has proven itself as a high-quality and unpretentious tool in the hands of snipers

Description: A piece inspired by the woodland boss himself, Shturman!

Description: The famous sniper rifle is the heroine of many conflicts, as well as films and computer games. At the same time, this rifle has proven itself as a high-quality and unpretentious tool in the hands of snipers

Description: A humorous design with a Dragunov sniper rifle and a famous Russian phraseological unit

Description: "If All Else Fails, Try SVD". Singular Value Decomposition is an mathemtical algorithm for factorizing matrices. If you love mathematics and linear algebra, this is for you. Perfect for mathematicians and math nerds.