P250 | Franklin: trade up odds, float & price
Classified Pistols skin from the Bank Collection. Float range 0.00 – 0.40, available in Factory New, Minimal Wear, Field-Tested, Well-Worn. You can get it from a trade up of 10 Restricted skins of the Bank Collection with a 100% chance per contract.
P250 | Franklin price by wear
| Wear | Float | Price | StatTrak™ |
|---|---|---|---|
| Factory New (FN) | 0.000 – 0.070 | … | … |
| Minimal Wear (MW) | 0.070 – 0.150 | … | … |
| Field-Tested (FT) | 0.150 – 0.380 | … | … |
| Well-Worn (WW) | 0.380 – 0.400 | … | … |
How to trade up into the P250 | Franklin
Put 10 Restricted skins from the Bank Collection into a trade up contract. The collection has 1 Classified skin, so with all 10 inputs from this collection the Franklin has a 100% chance – it is the only Classified skin in the collection, so the result is guaranteed. Mixing in another collection lowers the chance in proportion to the inputs you replace.
- Inputs (Restricted): AK-47 | Emerald Pinstripe.
- Factory New result: average normalised input float ≤ 0.1750.
- Minimal Wear result: average normalised input float ≤ 0.3750.
- Output float: 0.00 + average × 0.40 – see the float guide.
Cheapest P250 | Franklin trade ups right now
10 identical Restricted inputs from the Bank Collection at today’s prices. Every contract below has a 100% chance of this skin – open one to change floats, wear or fee.
Open in the calculator (auto-builds the cheapest contract)
P250 | Franklin FAQ
What collection is the P250 | Franklin from?
The P250 | Franklin is a Classified skin from the Bank Collection. Its float range is 0.00 – 0.40, so it exists in Factory New, Minimal Wear, Field-Tested, Well-Worn.
What are the odds of getting the P250 | Franklin from a trade up?
With all 10 inputs from the Bank Collection the chance is 1 ÷ 1 = 100%. Each input from another collection removes 10% of that chance and adds outcomes from the other collection.
What float do I need for a Factory New P250 | Franklin?
The average normalised input float must be at most 0.1750. Output float = 0.00 + average × 0.40.
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