PPolySim OS

Roulette House Edge

Straight-up or red/black, every roulette bet loses the same fraction over time. The secret is the zero — where the house edge quietly lives.

Roulette House EdgeLive
Expected value per $10 bet
−$0.53
house edge 5.26% · American (00) wheel
every bet type has the same edge — the wheel is undefeated

Controls

Presets

Roulette payouts are set as if the wheel had no zeros — but it does. That extra 0 (and 00 on American wheels) is where the house edge lives: every bet, from a single number to red/black, carries the same expected loss of 5.26% American or 2.70% European. No betting system changes it, because each spin is independent.

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Data Inspector

Win probability47.4%
Payout1 to 1
Expected value$-0.53
House edge5.26%

Governing equation

Reading this result: The extra 00 pocket drives the American-wheel edge to 5.26%: on Red/Black (18) you lose an average of $0.53 per $10 staked, no matter which bet type you pick.

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How it works

Roulette payouts are calculated as if the wheel had only its numbered slots, but the 0 (and 00 on American wheels) tips every wager against you. The result is a fixed expected loss of 5.26% American or 2.70% European on all bet types. Because spins are independent, no betting system can overcome it — the mathematics is airtight. Educational tool, not gambling advice.

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Frequently asked questions

Is this roulette house edge tool really free?
Yes. Roulette House Edge runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.