Glossary

House Edge

The percentage of every bet the casino retains on average — the mathematical advantage built into the game's RNG that ensures long-run profitability for the operator.

The house edge is inescapable in crash games. Unlike poker (where you compete against other players) or sports betting (where you can theoretically find positive EV lines), crash games are designed with a fixed mathematical disadvantage for the player. No strategy changes this.

How it’s encoded in the crash point distribution

The house edge is built directly into the crash point formula. In a perfectly fair game, the probability of surviving to multiplier M would be exactly 1/M. The house edge tilts this:

P(survive to M) = (1 − house_edge) / M

At 3% house edge:
P(survive to 2x) = 0.97 / 2 = 48.5%
P(survive to 5x) = 0.97 / 5 = 19.4%
P(survive to 10x) = 0.97 / 10 = 9.7%

Every target multiplier you could choose produces the same 0.97 expected value per unit bet — you get back 97 cents on every $1 wagered on average.

The practical meaning

A 3% house edge means:

  • Playing 100 rounds at $10: expected loss of $30
  • Playing 1,000 rounds at $10: expected loss of $300
  • Playing 10,000 rounds at $10: expected loss of $3,000

The house edge compounds with volume. Longer sessions mean more expected losses — regardless of strategy.

Why all multiplier targets have the same EV

This is counterintuitive but mathematically exact. Whether you target 1.5x, 2x, 10x, or 100x, your expected value per dollar bet is the same: (1 − house_edge). High multiplier targets have lower win rates but higher payouts per win; low targets have higher win rates but lower payouts. The EV balances out.

The only thing that changes between targets is variance — how much your results fluctuate around that EV.

  • RTP — house edge expressed as the player’s perspective
  • Expected Value — the per-bet calculation
  • Variance — why individual results differ from the edge

Related terms

rtpexpected valuevariancecrash point