Understanding the mathematics behind gambling games is essential for industry professionals. House edge—the statistical advantage that ensures casino profitability—determines everything from operator margins to regulatory compliance thresholds. This calculator helps analysts, compliance teams, and researchers compute and verify these critical metrics.

The concepts of house edge and expected value are fundamental to gambling economics. According to the UK Gambling Commission's game rules and RTP guidance, operators must accurately display return-to-player (RTP) percentages, which are directly derived from these calculations. Our tool enables verification of these published figures.

Calculate for Common Casino Games

Select a game and bet type to see house edge, RTP, and expected value calculations.

Game Mathematics Analysis

Game -
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House Edge
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Return to Player
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Expected Value (Total Session)
Expected Loss per Bet -
Total Wagered -

Note: These calculations assume optimal play for skill-based games (blackjack, video poker). Actual results vary due to variance and player decisions. House edge is a long-term statistical expectation.

Custom Expected Value Calculator

Define custom outcomes with probabilities and payouts to calculate expected value and house edge for any game.

Outcome Name Probability (%) Payout Multiplier Net Result
Warning: Probabilities must sum to 100%. Current total: 0%

Custom Game Analysis

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House Edge
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Return to Player
$0
Expected Value per Bet
Probability Sum -
Number of Outcomes -

Note: For accurate results, probabilities must sum to exactly 100%. Payout multipliers represent the return including the original stake (e.g., 2x means winning doubles your money).

RTP & House Edge Converter

Convert between Return-to-Player (RTP) percentages and house edge values. Useful for comparing published RTP figures with industry-standard house edge metrics.

Conversion Results

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RTP
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House Edge
Expected Loss per $100 Wagered -
Expected Loss per $1,000 Wagered -
Bets to Lose 1 Unit (average) -

Understanding House Edge and RTP

House edge represents the mathematical advantage built into every casino game, expressed as a percentage of each wager that the casino expects to retain over time. The inverse of house edge is the Return-to-Player (RTP)—the percentage of wagered money that players can expect to receive back. These metrics are central to gambling industry economics and regulatory oversight.

Key Formulas
House Edge = 100% - RTP
RTP = 100% - House Edge
Expected Value = Bet Amount × (RTP - 100%)
Expected Value = Σ (Probability × Payout) - Bet Amount

The Malta Gaming Authority's Technical Compliance Guidelines mandate that operators must accurately calculate and display RTP percentages for all games. Similar requirements exist across most regulated jurisdictions, making these calculations essential for compliance teams.

Why House Edge Matters for Industry Professionals

For investors and analysts, house edge directly correlates with operator profit margins. A game with a 5% house edge theoretically generates $5 in gross gaming revenue for every $100 wagered. Understanding these economics is crucial for evaluating operator performance, as discussed in our mergers and acquisitions analysis.

Regulatory Context: Most jurisdictions require minimum RTP thresholds for slot machines. The UK requires 70% minimum RTP, while Malta mandates 92%. Understanding how to calculate and verify these figures is essential for licensing compliance. For more on regulatory requirements, see our license comparison tool.

House Edge by Game Type

House edge varies significantly across game types, affecting both player expectations and operator revenue projections. The table below summarizes typical house edges for common casino games under standard rules.

Game Bet Type House Edge RTP Notes
Blackjack Basic Strategy 0.5% 99.5% Varies with rules; requires optimal play
Baccarat Banker Bet 1.06% 98.94% After 5% commission
Craps Pass Line 1.41% 98.59% One of the best table game bets
European Roulette Even Money 2.70% 97.30% Single zero wheel
American Roulette Even Money 5.26% 94.74% Double zero increases edge
Slot Machines Average 2-15% 85-98% Varies widely by machine
Video Poker Jacks or Better 0.46% 99.54% Full-pay tables; requires skill
Keno Typical 25-30% 70-75% One of the highest house edges

Expected Value in Gambling Analysis

Expected value (EV) quantifies the average outcome of a wager over many repetitions. For casino games, EV is almost always negative for the player, reflecting the house edge. Understanding EV is crucial for analyzing promotional offers, bonus structures, and player behavior patterns.

According to research published by the Responsible Gambling Council, player understanding of expected value and house edge correlates with safer gambling behaviors. This makes these educational tools valuable for responsible gambling initiatives.

Practical Applications

  • Compliance Verification: Validate that published RTP figures match mathematical calculations
  • Investment Analysis: Estimate gross gaming revenue potential based on projected handle
  • Bonus Evaluation: Calculate true value of promotional offers accounting for wagering requirements
  • Game Certification: Verify game mathematics during testing and certification processes
  • Regulatory Reporting: Prepare accurate RTP documentation for licensing applications

For a comprehensive overview of how these calculations impact regulatory enforcement, see our 2026 enforcement actions review. Operators who misrepresent RTP figures face significant penalties, as documented in our regulatory fine calculator.

Variance and Standard Deviation

While house edge determines long-term outcomes, variance explains short-term fluctuations. High-variance games like slots can produce significant wins or losses over short sessions, even with identical house edges. According to the National Council on Problem Gambling, understanding variance is important for setting realistic expectations and promoting responsible play.

Industry professionals must consider both metrics when analyzing game performance and player behavior. A high-variance game with moderate house edge may generate different player engagement patterns than a low-variance game with the same edge.