CS2 Trade Up Contract Calculator
Enter the exact float value (0.00 to 1.00) of all 10 input skins.
Trading up skins in Counter-Strike 2 is one of the most exciting aspects of the game's economy, but without doing the math, it is effectively just gambling. Professional CS2 traders use strict mathematical formulas to ensure that their Trade Up contracts are profitable. Our CS2 Trade Up Calculator allows you to simulate these contracts risk-free.
By inputting the exact float values of your 10 input skins, you can predict the wear condition of the outcome skin. Best of all, our tool runs entirely locally in your browser. We never ask for your Steam login or API key, keeping your valuable inventory 100% secure from phishing scams.
How the CS2 Trade Up Calculator Works
The Trade Up Contract allows you to trade 10 skins of the same rarity (e.g., 10 Mil-Spec skins) for 1 skin of the next highest rarity (e.g., 1 Restricted skin) from one of the collections of the input skins.
Our calculator specifically targets the most complex part of this process: Float Calculation.
Step 1: Gather Your Inputs
Inspect the 10 skins you intend to use. Note their exact float values (usually 6 to 10 decimal places long).
Step 2: Enter the Floats
Input these 10 values into our calculator. The calculator will instantly sum them up and divide by 10 to find the average float of the contract.
Step 3: Analyze the Wear
The resulting average float heavily influences the wear condition of the skin you will receive. If your average is 0.05, you are virtually guaranteed a Factory New outcome (assuming the outcome skin has a standard 0 to 1 float range).
Understanding Float Values and Wear
In Counter-Strike 2, every skin drops with a hidden "Float Value" between 0.00 and 1.00. This number determines the visual scratchiness (wear condition) of the weapon.
- Factory New (FN): 0.00 - 0.07
- Minimal Wear (MW): 0.07 - 0.15
- Field-Tested (FT): 0.15 - 0.38
- Well-Worn (WW): 0.38 - 0.45
- Battle-Scarred (BS): 0.45 - 1.00
Because prices jump drastically between wear conditions (a Factory New AK-47 is worth vastly more than a Minimal Wear one), manipulating your input floats so that your average lands just inside the Factory New bracket (e.g., 0.069) is the secret to profitable trade ups.
How Trade Up Outcomes are Determined
The exact formula Valve uses for determining the float of the skin you receive is:
Outcome Float = (Max Possible Float - Min Possible Float) * Average Input Float + Min Possible Float
While most skins range from 0.00 to 1.00, some skins are "capped." For example, the AWP Asiimov only exists between 0.18 and 1.00. This means you can never trade up to a Factory New AWP Asiimov, no matter how low your input floats are.
Calculating Trade Up Profitability
To consistently make a profit, you must calculate your EV (Expected Value).
If you use 10 skins from the same collection, you have a 100% chance to get an upgraded skin from that collection. If you mix 5 skins from Collection A and 5 from Collection B, you have a 50/50 chance. Profitability is achieved when the cost of the 10 input skins is lower than the weighted average price of all the possible outcome skins. Professional traders use "filler" skins (cheap skins from bad collections with good floats) mixed with "target" skins to manipulate both the odds and the average float.
Frequently Asked Questions About CS2 Contracts
How is the outcome float calculated in CS2?
The game takes the average float of the 10 input skins. It then applies this average to the float range of the potential output skin using the formula: Outcome Float = (Max - Min) * Average + Min.
Can you mix collections in a Trade Up contract?
Yes. If you input 5 skins from Collection A and 5 skins from Collection B, you have a 50% chance to receive an outcome from Collection A, and a 50% chance for Collection B.
Is this tool safe to use? Does it need my Steam login?
Yes, it is 100% safe. This is a purely client-side math calculator. It does not require your Steam login or an API key, so there is zero risk of API scams or hijacked accounts.
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