Guides & FAQ
House edge guide
Gambl's in-house casino games have a genuine 1% average theoretical house edge—clear, measurable, and never a promise of short-term returns.
Last updated: 2026-08-06
What 1% house edge means
Across Gambl's in-house casino games, the average theoretical house edge is 1%. This means an expected casino advantage of about 1% across a very large sample of eligible wagered volume under the published rules and current game mix.
Put another way, a 1% average house edge corresponds to about a 99% average theoretical return across the same in-house game mix and wager distribution over a very large sample before variance. This is not a guarantee for any player, bet, day, game, or session.
Game-specific edge and provider games
The 1% figure is the average across Gambl's in-house game catalog, not a claim that every game or every selectable bet has exactly the same edge. Individual figures may be higher or lower and are identified in the applicable game information.
A third-party or acquired game may use a different RTP or house edge; its own displayed rules control. Those games are identified separately and are not included in the 1% in-house average unless explicitly stated.
How we keep the claim meaningful
- Publish the applicable edge or RTP in understandable game information.
- Separate original 1% games from provider games with different economics.
- Use fairness proofs or other review evidence appropriate to the game design.
- Correct or withdraw a claim if a live configuration does not match it.
- Keep operational security and anti-abuse details private while publishing enough information to evaluate completed game outcomes.
What it does not mean
- It does not mean every bet loses 1%.
- It does not guarantee that you will receive 99% back.
- It does not prevent long losing streaks.
- It does not prevent large short-term wins.
- It does not make betting systems profitable.
Variance
Variance is the difference between theoretical expectation and actual short-term results. Because casino outcomes are random, a player can win or lose much more than the theoretical average over a small or medium number of bets.
The larger the sample, the closer aggregate results may move toward the theoretical average, but there is no guaranteed outcome for an individual player.
Example
If 100 SOL is wagered across the same in-house game mix over a huge sample, the theoretical expected cost at a 1% average house edge is about 1 SOL, and the theoretical expected return is about 99 SOL before variance.
That example is theoretical. Actual results could be higher or lower, especially over shorter samples.
Betting systems
Martingale, doubling, flat betting, pattern tracking, changing games, or adjusting bet timing does not remove the house edge. Increasing stake size after losses can increase the risk of a larger loss.