NO NEED TO PAY UNTIL 31 MAY
CONDITION; all complete unstarted kits
Italeri Marder & Sd Kfz 140 1/35 model kits joblot 1:35 complete perfect
Description
The Sd.Kfz. 140/1 was built as an advanced recognition vehicle for the German army, using the chassis of the Czech-designed 38T tank which was used by the German troops after its annexation of Czechoslovakia. Due to the excellent qualities of the 38T, its chassis was widely used for anti-tank and artillery vehicles, as well as for this recognition vehicle equipped with a turret with a 20 mm gun. It was first used in 1944.
NO NEED TO PAY UNTIL 31 MAY
CONDITION; all complete unstarted kits
Italeri Marder & Sd Kfz 140 1/35 model kits joblot 1:35 complete perfect
Description
![Aufklärungspanzer 38(t) - Tank Encyclopedia](data:image/jpeg;base64,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)
The Sd.Kfz. 140/1 was built as an advanced recognition vehicle for the German army, using the chassis of the Czech-designed 38T tank which was used by the German troops after its annexation of Czechoslovakia. Due to the excellent qualities of the 38T, its chassis was widely used for anti-tank and artillery vehicles, as well as for this recognition vehicle equipped with a turret with a 20 mm gun. It was first used in 1944.
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