Baccarat is a structured comparing game with fixed drawing rules. Small tweaks to table policy—commission size, how banker wins on six are handled, and whether side bets are offered—shift the house edge in subtle ways. This tool runs Monte Carlo simulations on an arbitrary shoe, optionally after specific card ranks are removed, to approximate:
The simulator models a standard eight-deck shoe unless you specify otherwise. Drawing rules follow the common “tableau” used in most casinos. Banker commissions apply to winning banker bets except in the EZ and reduced-commission variants. When you remove cards, the software subtracts them before each coup and reshuffles the remaining shoe. Results therefore mimic a card counter’s mental model rather than continuous shuffling.
Monte Carlo sampling introduces a small amount of statistical noise. Running more iterations tightens confidence intervals but increases processing time. For quick comparisons, 20,000 to 40,000 coups provide a reliable picture; for extremely rare side bets, increase iterations or repeat the simulation a few times and average the outputs.
On a standard eight-deck shoe the banker hand wins about 45.86% of coups and the player hand wins about 44.62%; the remainder are ties. A 5% commission keeps the banker wager’s house edge around 1.06%. Reduce that commission to 4% and the edge shrinks to roughly 0.6%. Commission-free tables claw back profit by pushing banker wins on certain totals, which raises the effective house edge on both banker and player wagers. Use the dropdowns to see how each policy affects your expected value.
Shoe composition matters. Removing low cards such as fours and fives slightly improves the banker’s expectation, while stripping face cards benefits the player. The card removal grid lets you experiment with up to four missing ranks at once. It is not a full-fledged advantage-play engine—real counters track exact ratios and cut cards—but it demonstrates how even modest deviations alter the edge.
Side bets add spice and variance. Dragon 7 pays 40:1 if the banker wins with a three-card seven, an event that occurs in roughly 2.3% of coups. Panda 8 pays 25:1 when the player wins with a three-card eight, which happens about 3.4% of the time. Plugging those probabilities into reveals their steep house edges. The simulator reports both the average gain or loss per unit and the standard deviation so you can gauge bankroll swings before putting chips on the felt.
Variance remains considerable despite the modest main-game edge. The bankroll module uses simulated probabilities to estimate average gain or loss per session, standard deviation of outcomes, and the probability of busting your bankroll after a set number of coups. Those results rely on a normal approximation; they are best treated as strategic guidance rather than precise guarantees. If the ruin probability looks high, reduce bet size, cut session length, or walk away after a predetermined number of wins.
After each simulation the result panel lists expected value, win percentages, standard deviation, and ruin probabilities. The copy button sends those statistics to your clipboard so you can log different rule sets in a spreadsheet. Because calculations run entirely in your browser, you can safely experiment without sharing personal data.
No amount of simulation removes risk. Casinos maintain their advantage through commissions, table minimums, and side bets with steep edges. Use this calculator to explore scenarios, then set personal limits, pace your play, and walk away once you hit predetermined stop-loss or win goals. If gambling stops being fun, take a break and speak with a support organization such as the Responsible Gambling Council or your local helpline.