See every possible output.
Collection-weighted odds make the full outcome distribution visible before you buy.
Explore odds →SYS 01 CS2 TRADE-UP ANALYSIS
Scan current contract paths. Inspect every outcome. Compare real cost against fee-adjusted expected value before committing ten skins.
Cached market estimates / No account required
ANALYSIS MODULES / 03
TradeUpX exposes the assumptions behind every candidate, so risk and return stay on the same screen.
Collection-weighted odds make the full outcome distribution visible before you buy.
Explore odds →Normalize input wear against every output skin's individual float range.
Check float →Fee-adjusted ROI puts unlike contracts on one consistent decision scale.
Understand EV →CONTRACT PATHS / 05
Start with the rarity tier that matches your budget, then compare the complete output pool.
HOW IT WORKS / 03 STEPS
A useful trade-up model needs more than a headline ROI. It needs transparent prices, exact float math and the probability of every result.
Read the complete methodology →Choose ten skins, their collections, purchase prices and exact floats.
Map collection odds, output wear ranges and the configured marketplace fee.
Review expected value, ROI, output range and downside before buying.
avgInputFloat × (maxFloat − minFloat) + minFloat
TOOL INDEX / 06
Scan the market, test your own idea or learn the mechanics without leaving the TradeUpX system.
Rank current contract candidates by expected value and ROI.
Open tool ↗ CAL / 02Build a contract manually and inspect its exact economics.
Open tool ↗ SIM / 03Preview every result, drop chance and output float.
Open tool ↗ INV / 04Find ideas that use skins you already own.
Open tool ↗ COL / 05Explore the skins and rarity ladders inside every collection.
Browse data ↗ KIT / 06Float, wear, fee and probability references in one place.
View index ↗REFERENCE / FAQ
A trade-up contract combines 10 skins of the same rarity into one skin of the next-higher rarity. The possible outputs come from the collections represented by your inputs.
Some candidates have positive expected value in a given snapshot. Results still depend on prices, liquidity, floats and fees, and positive EV never guarantees that one individual contract will profit.
The average float of your inputs is mapped onto each output skin's individual wear range. This means the same inputs can produce different output floats across different skins.
Yes. ROI and net output value use the fee estimate displayed in the interface. Always verify current fees and listing prices before buying inputs.
Yes. The scanner, calculator, simulator and inventory workflow can be used without an account or login.
Yes. Import your CS2 inventory and TradeUpX can surface calculated ideas that use skins already available to you.
READY / MARKET SYSTEMS ONLINE