CS2 Tradeup Calculator
Estimate expected value (EV), profit, ROI, and probability share by collection for a 10-item tradeup contract.
| Collection | Inputs Used | Possible Outputs | Avg Output Price ($) |
|---|---|---|---|
What Is a Tradeup Calculator?
A tradeup calculator helps you estimate whether a tradeup contract is statistically worth doing. In games like Counter-Strike 2, you place 10 skins of the same rarity into a contract and receive one skin from the next rarity tier. The catch: each collection and each possible result changes your odds and expected return.
Instead of guessing, this calculator gives you a clean estimate of expected value (EV), net output after marketplace fees, profit, and ROI. That means you can compare contracts quickly and avoid low-quality setups that look exciting but lose money over time.
How the Math Works
1) Contract Cost
Your total cost is simple:
- Total Cost = Number of Inputs × Average Input Cost
2) Weighted Outcome Probability
Each collection contributes odds based on:
- How many items from that collection you include, and
- How many possible output skins exist in that collection at the next tier.
Weight for a collection is calculated as:
- Weight = Inputs from Collection × Number of Possible Outputs
Probability share:
- Collection Probability = Collection Weight ÷ Total Weight
3) Expected Output Value
Once probabilities are set, expected gross output is the probability-weighted average of output prices:
- Expected Gross = Σ (Probability × Avg Output Price)
Then marketplace fee is applied:
- Expected Net = Expected Gross × (1 − Fee%)
4) Profit and ROI
- Expected Profit = Expected Net − Total Cost
- ROI = (Expected Profit ÷ Total Cost) × 100
How to Use This Tradeup Calculator Effectively
- Enter realistic input cost (what you can actually buy items for, not wishful prices).
- Keep contract size at 10 unless your use case differs.
- For each collection, enter how many inputs you are using.
- Add the number of possible outcomes in the target rarity for that collection.
- Use a realistic average sell price for outputs (preferably recent sold data).
- Apply the marketplace fee you actually pay.
- Run the result and compare EV across multiple contract setups.
Practical Tradeup Strategy Tips
Prioritize data quality
Most tradeup losses come from bad pricing assumptions. Use fresh buy/sell data, not stale listing highs. If your numbers are wrong, your EV is wrong.
Look for repeatable edges
One lucky hit does not prove a profitable method. A positive EV contract matters because it can be repeated over many attempts.
Control variance
Even positive EV tradeups can have losing streaks. Use bankroll rules and avoid overexposure to a single setup.
Re-check after market shifts
Skin markets move quickly. A contract that was profitable yesterday can become negative tomorrow when input prices spike.
Common Mistakes to Avoid
- Ignoring fees and taxes in output valuation.
- Using list prices instead of recently sold prices.
- Mixing input counts that do not match contract size.
- Assuming all outcomes are equally likely without collection weighting.
- Chasing hype skins without checking downside risk.
Final Thought
A tradeup calculator does not remove risk, but it does remove guesswork. If you treat tradeups like probability and pricing problems instead of pure gambling, your decision quality improves immediately. Use EV, track outcomes, update assumptions often, and focus on consistent process over short-term luck.