Cs Tradeup Calculator

Calculate the expected value and probability of a CS:GO/Counter-Strike 2 trade-up contract. Input your collection, wear, and item prices to see potential outcomes.

isCalculator Editorial Team Published by:
Reviewed by: Review Board
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How to use this tool?

This guide explains how to use the CS Tradeup Calculator to estimate the expected value and probabilities of a trade-up contract.

  1. Set Input Parameters
    • Number of Input Items: Enter how many skins you are using (1–10).
    • Input Wear: The average float value of your input skins (0 to 1, e.g., 0.5).
    • Total Input Cost: The total cost of all input skins in dollars.
    • Number of Output Collections: How many different collections you can receive (1–10).
  2. Define Output Collections
    • For each collection, enter its Name, Number of Items in that collection, and Average Output Price per item.
    • All fields are required. Use positive integers for item counts and non-negative prices.
  3. Calculate
    • Click the Calculate button. The calculator validates inputs and shows errors if any field is invalid.
    • Results display: Expected Value (total average output), Net Expected Value (after subtracting input cost), and ROI percentage.
    • A breakdown shows each collection’s probability and average price.
  4. Interpret Results
    • Green text indicates a positive net expected value (profitable on average).
    • Red text indicates a loss.
    • The output wear is simplified to equal the input wear. Actual trade-up outcomes depend on exact float values.

Tip: Ensure all prices are in the same currency (USD). The calculator uses decimal wear values (e.g., 0.07 for Factory New).

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Frequently Asked Questions

A trade-up contract allows you to exchange 10 items of the same rarity for one item of a higher rarity. The outcome is random based on the collections used.

The output wear is the average wear of the input items. In this calculator, we assume all input items have the same wear as entered.

Expected value is the average value you can expect per trade-up over many attempts, calculated as the sum of each outcome's probability times its value.

Reviewed by Experts

José de Castro

José de Castro

Data Scientist

Data Analyst | Gamer

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