House Edge Calculator
Calculate exact house edge and expected loss per $100 wagered for common casino games.
Results
House Edge
1.00%
Expected Loss per $100
$1.00
Expected Loss per Wager
$1.00
Win Probability
50.00%
At 2x cashout with 1% commission, you win roughly 50.00% of rounds. The house keeps 1.00% of every dollar wagered over time.
How This Calculator Works
Select a game type, enter the relevant parameters (payout multiplier, auto-cashout target, or number of decks), and the calculator returns the exact house edge percentage along with your expected loss per $100 wagered. The formulas use standard probability theory: for crash games, the edge is derived from the payout curve and the built-in house cut; for table games, it follows established combinatorial calculations.
House edge is the single most important number to understand before playing any casino game. A game advertising a 97% RTP (return to player) has a 3% house edge, meaning you lose $3 on average for every $100 you cycle through it. This tool lets you compare the true cost of playing across different game types and casino configurations.
For a deeper dive into the math behind crash games specifically, see our crash game math analysis.
Frequently Asked Questions
What is house edge?
House edge is the mathematical advantage the casino has over the player on every bet, expressed as a percentage. A 1% house edge means you lose $1 on average for every $100 wagered. It is built into the game rules and cannot be changed by strategy (except in games like blackjack where optimal play reduces it).
Which crypto casino game has the lowest house edge?
Blackjack with basic strategy has the lowest house edge at most crypto casinos, typically around 0.5%. Crash games usually sit between 1% and 4% depending on the platform. Dice games are often around 1%. Slots have the highest house edge, typically 2% to 10%.
How does house edge affect long-term results?
House edge compounds over time. With a 3% edge and $100 wagered per round over 1,000 rounds, you would wager $100,000 total and lose approximately $3,000 on average. Short-term variance can produce wins, but the math always converges toward the expected loss over enough bets.