Tec-9 | Ossified: trade up odds, float & price
Mil-Spec Pistols skin from the Aztec Collection. Float range 0.00 – 0.08, available in Factory New, Minimal Wear. You can get it from a trade up of 10 Industrial skins of the Aztec Collection with a 100% chance per contract.
Tec-9 | Ossified price by wear
| Wear | Float | Price | StatTrak™ |
|---|---|---|---|
| Factory New (FN) | 0.000 – 0.070 | … | … |
| Minimal Wear (MW) | 0.070 – 0.080 | … | … |
How to trade up into the Tec-9 | Ossified
Put 10 Industrial skins from the Aztec Collection into a trade up contract. The collection has 1 Mil-Spec skin, so with all 10 inputs from this collection the Ossified has a 100% chance – it is the only Mil-Spec skin in the collection, so the result is guaranteed. Mixing in another collection lowers the chance in proportion to the inputs you replace.
- Inputs (Industrial): AK-47 | Jungle Spray, M4A4 | Jungle Tiger.
- Factory New result: average normalised input float ≤ 0.8750.
- Minimal Wear result: always.
- Output float: 0.00 + average × 0.08 – see the float guide.
Cheapest Tec-9 | Ossified trade ups right now
10 identical Industrial inputs from the Aztec 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)
New to contracts? The CS2 trade up guide explains the odds, the CS2 float formula and how to spot a profitable contract in a few minutes.
Tec-9 | Ossified FAQ
What collection is the Tec-9 | Ossified from?
The Tec-9 | Ossified is a Mil-Spec skin from the Aztec Collection. Its float range is 0.00 – 0.08, so it exists in Factory New, Minimal Wear.
What are the odds of getting the Tec-9 | Ossified from a trade up?
With all 10 inputs from the Aztec 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 Tec-9 | Ossified?
The average normalised input float must be at most 0.8750. Output float = 0.00 + average × 0.08.
