CS2 Skin Guides
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CS2 Trade-Up Contracts: The Math Behind Profitable Trade-Ups

H
AuthorHammer Rolland
CS2 Trade-Up Contracts: The Math Behind Profitable Trade-Ups

The Trade-Up Contract: CS2's Most Profitable Gamble

The Basic Rules (No Exceptions)

  • You submit exactly 10 skins of the same rarity tier (Consumer Grade, Industrial Grade, Mil-Spec, Restricted, Classified, or Covert).
  • You receive exactly 1 skin from the next rarity tier up.
  • The output skin is pulled from the collections that your input skins belong to.
  • The output float is calculated from the average float of your 10 inputs, with minimum and maximum float caps applied per collection.

The Float Formula: Where Most People Get It Wrong

How Output Probability Works

  • The AUG Collection's Mil-Spec tier (7/10 chance)
  • The P250 Collection's Mil-Spec tier (3/10 chance)

  • Probability of getting [Skin A] from Collection X = (Number of inputs from Collection X / 10) × (1 / Number of skins in Collection X's next tier)

Expected Value Calculation: The Money Math

Float Distribution: The Hidden Variable

  • If the collection has a FN cap of 0.07, you're guaranteed FN
  • If the collection has a FN cap of 0.00 (like some knives), you'll get MW minimum

Profitable Trade-Up Patterns (Verified)

  • 10 FN inputs averaging 0.03 float → output knife has 0.26 float (clamped)
  • 10 BS inputs averaging 0.75 float → output knife has 0.75 float

The 10/10 Rule: Why Collection Mixing Matters

The Float Cap Exploit

Risk Management: The Real Talk

  1. Float ignorance - Most players don't understand float averaging
  2. Liquidity constraints - Some inputs are hard to buy in bulk
  3. Risk aversion - People hate losing money on a single roll
  4. Time premium - Profitable trade-ups require patience to source inputs

Tools of the Trade

  • CS2Float for checking exact float values of inputs
  • Skinport's trade-up calculator (not perfect, but decent for quick checks)
  • My own spreadsheet that accounts for float distribution within each collection

EV = Σ (P_i × Price_i × Float_Probability_i) - Cost_Inputs

Final Word: The House Always Wins, But...

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