| Product Type | Ammo |
|---|---|
| Manufacturer | Armscor |
| Condition | New |
| Bullet Weight | 170 Grain |
| Bullet Type | Round Nose Soft Point (RNSP) |
| Ammo Casing | Brass |
| Quantity | 200 |
| Ammo Caliber | .30-30 Winchester |
| Manufacturer SKU | F AC30-30-170GR-FP |
| Primer Type | Boxer |
| Muzzle Velocity (fps) | 1800 |
| Muzzle Energy (ft lbs) | 1223 |
| Attracts Magnet | No |
| UPC Barcode | 100812285022192 |
| Cost Per Round | $1.35 per round |
Use Type
Deer Hunting
Wild Boar Hunting
We’re problem solvers here at Lucky Gunner. For example, suppose someone came to us because they were all out of 30-30 Win hunting ammunition. We’d thoughtfully ponder their conundrum, maybe eat a powdered donut, and then confidently recommend this case of Armscor USA ammunition to them. That’s how problem solving works!
Armscor calls this round’s 170 grain bullet a “flat point.” We’d rather refer to it as a round nose soft point, simply because that name is more descriptive. First and foremost: zero reason to wonder whether the RNSP is safe for a lever-gun. It is! More importantly, the simple yet effective is designed to let out terminal expansion. Just aim it and claim it!
Armscor would be pretty sneaky if their USA series ammo were made anywhere other than the USA. It hails from Montana, where it receives the virgin (reloadable) brass cases and noncorrosive (Boxer) primers it needs in order to live up to your expectations.
Armscor calls this round’s 170 grain bullet a “flat point.” We’d rather refer to it as a round nose soft point, simply because that name is more descriptive. First and foremost: zero reason to wonder whether the RNSP is safe for a lever-gun. It is! More importantly, the simple yet effective is designed to let out terminal expansion. Just aim it and claim it!
Armscor would be pretty sneaky if their USA series ammo were made anywhere other than the USA. It hails from Montana, where it receives the virgin (reloadable) brass cases and noncorrosive (Boxer) primers it needs in order to live up to your expectations.
