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33183327 of 13266 results
3318.
Bipods are commonly used on rifles and machine guns to provide a forward rest and reduce motion. Aside from increased weight, there are no drawbacks.
2각대는 소총이나 기관총에 달아 반동을 줄이고자 할 때 사용할 수 있습니다. 무게가 조금 증가한다는 것을 제외하면, 단점은 없습니다.
Translated by Cobalt
Located in lang/json/GUNMOD_from_json.py
3319.
self bow
수제 활(self bow)
Translated by Cobalt
Located in lang/json/GUN_from_json.py
3320.
A bow made from a single piece of wood. It is made specifically for the person using it.
단 한 점의 목재로 만든 활입니다. 사용자 본인에게 잘 맞도록 만들어졌습니다.
Translated by Cobalt
Located in lang/json/GUN_from_json.py
3321.
short bow
단궁(short bow)
Translated by 궁둥
Located in lang/json/GUN_from_json.py
3322.
A shorter bow than the longbow, easier to draw than the longbow but sacrifices power. Arrows fired from this weapon have a good chance of remaining intact for re-use. It requires 8 strength to fire
장궁보다 짧아서, 더 당기기 쉽지만 위력은 떨어지는 활입니다. 이걸로 쏜 화살은 손상 없이 재사용 가능할 확률이 높습니다. 발사에는 8의 체력이 필요합니다.
Translated by Cobalt
Located in lang/json/GUN_from_json.py
3323.
compound bow
컴파운드 보우(compound bow)
Translated by Cobalt
Located in lang/json/GUN_from_json.py
3324.
A bow with cams that fires high velocity arrows. Weaker people can use compound bows more easily. Arrows fired from this weapon have a good chance of remaining intact for re-use. It requires 8 strength to fire
활차가 달려 화살을 더 높은 탄속으로 날려보내는 활로, 그나마 체력이 약한 사람도 사용할 수 있습니다. 이걸로 쏜 화살은 손상 없이 재사용 가능할 확률이 높습니다. 발사에는 8의 체력이 필요합니다.
Translated by Cobalt
Located in lang/json/GUN_from_json.py
3325.
composite bow
합성궁(composite bow)
Translated by 궁둥
Located in lang/json/GUN_from_json.py
3326.
A bow made from more than one material so it is able to store more energy. Arrows fired from this weapon have a good chance of remaining intact for re-use. It requires 10 strength to fire
두 가지 이상의 재질을 써서, 더 많은 에너지를 축적할 수 있는 활입니다. 이걸로 쏜 화살은 손상 없이 재사용 가능할 확률이 높습니다. 발사에는 10의 체력이 필요합니다.
Translated by Cobalt
Located in lang/json/GUN_from_json.py
3327.
recurve bow
리커브 보우(recurve bow)
Translated by 궁둥
Located in lang/json/GUN_from_json.py
33183327 of 13266 results

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Contributors to this translation: Cobalt, Lchs312, MARK23, fenjo, 궁둥.