Tools 6 min read

How to Use the CS2 Trade Up Simulator

Step-by-step guide to using the genetic algorithm trade up simulator to find profitable CS2 contracts, configure search depth, and interpret results.

1

What the Simulator Does

The simulator uses a genetic algorithm — an optimization technique inspired by natural selection — to evolve skin combinations across hundreds of generations until it converges on the highest expected-value contracts.

Think of it like breeding: the algorithm starts with random contracts, scores them by profitability, then combines the best performers and introduces mutations. After many iterations, what survives are contracts that maximize your return-to-player (RTP) while staying within your budget and constraints.

2

Configuring Your Search

Before running a simulation, configure these key parameters:

  • Rarity — Select the input rarity tier (Mil-Spec, Restricted, Classified, or Covert)
  • Depth — Controls how many generations the genetic algorithm runs. Higher depth means more exhaustive search. Guests get up to 50; logged-in users unlock up to 200
  • StatTrak — Toggle to search only StatTrak contracts
  • Skin Source — Choose between all skins, your inventory, or live market listings
3

Understanding the Results

After the simulation completes, you'll see the best contract found with these key metrics:

  • RTP (Return to Player) — The expected return as a percentage of input cost. Above 100% means the contract is profitable on average
  • Break-Even Probability — The chance that a single execution returns at least what you invested
  • Input Cost — Total cost of all 10 input skins at current market prices

The result also shows every possible outcome with its probability, expected float, wear condition, and current market price.

4

Tips for Better Results

  • Run at higher depth (100+) for serious trading — the algorithm finds significantly better contracts with more generations
  • Try multiple rarity tiers; Restricted to Classified typically offers the best risk-reward balance
  • Use skin locking to build contracts around skins you already own
  • Compare results across different sources: average prices vs. live market listings can yield very different optimal contracts

Frequently Asked Questions

How does the CS2 trade up contract simulator work?

The simulator uses a genetic algorithm — an optimization technique modeled after natural selection. It generates a large population of random trade up contracts, scores each one by expected value and profitability, then breeds the top performers together across hundreds of generations. Over time, the algorithm converges on contracts that maximize your return.

What does the Depth setting control?

Depth controls how many generations the genetic algorithm runs and how large each population is. A depth of 20 gives you a quick scan; a depth of 200 runs a much more exhaustive search that's more likely to surface the best possible contract. Free users can run up to 50 depth. Logged-in users unlock up to 200.

Are CS2 trade up contract simulation results guaranteed profits?

No. Trade up contracts are inherently probabilistic. What the simulator does is find contracts with positive expected value (EV), meaning they're profitable on average if executed many times. A contract with 120% RTP and 70% break-even probability is strong, but any single trade can still result in the lowest-value outcome.

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