Picking a game by house edge alone is the classic trap — a 98% RTP slot can drain your bankroll faster than a 96% one (if that distinction is fuzzy, start with RTP vs House Edge). This Game Comparator puts any two games through a side-by-side mathematical audit, weighing pace of play, volatility (see RTP vs Volatility), and your actual bankroll to expose each game’s true risk profile.
Game Comparator
Game A
Game B
Why simple reviews fail the math check
Reviews love flat comparisons: Game A pays back 96%, Game B pays 98%, so B “wins.” That conclusion ignores how you actually play. Speed changes everything.
Put Game A at a slow live table and Game B on a rapid crypto engine, and the higher-RTP game can burn through your funds first. An honest comparison needs three variables working together: rounds per hour, per-round volatility, and the size of your bankroll relative to both.
The core comparison metrics
Four numbers drive every verdict this tool produces. Here is what each one measures:
1. Expected Hourly Volume (Handle)
Total money cycled through the house edge per hour — the base on which every cost calculation sits:
Hourly_Volume = Rounds_Per_Hour * Average_Bet
2. Expected Loss per Hour
Your theoretical rental fee for the session. This is what variance deviates from, not what it spares you:
Hourly_Cost = Hourly_Volume * House_Edge_Percentage
3. Risk of Ruin (RoR)
The chance your bankroll ($B$ units) reaches zero before you choose to stop:
RoR = ((1 - α) / (1 + α))^B (where α = EV / σ²)
4. Hours to Certainty
How long you must play before randomness is statistically flattened out and your results track the theoretical edge with high probability.
Data Sandwich: Crash vs. High-Volatility Slots
A worked example makes this concrete. Compare an online slot against a crypto crash game, both funded by a $500 bankroll:
Game A: High-Volatility Online Slot
- House Edge: 4.00% (96.00% RTP)
- Rounds per hour: 600 spins
- Bet size: $1.00
- Standard deviation: 4.00 (highly volatile)
Hourly Loss = 600 * $1 * 0.04 = $24.00 per hour Hourly Volatility = Sqrt(600) * $1 * 4.0 = $97.98
Game B: Crypto Crash Game
- House Edge: 1.00% (99.00% RTP)
- Rounds per hour: 100 rounds
- Bet size: $5.00 (cashing out at 2.00x)
- Standard deviation: 1.00 (low volatility at low cashouts)
Hourly Loss = 100 * $5 * 0.01 = $5.00 per hour Hourly Volatility = Sqrt(100) * $5 * 1.0 = $50.00
The Verdict
Counterintuitive result: betting $5 per round instead of $1 costs you less. The Crash game’s modest 1% edge paired with its leisurely 100 rounds per hour works out to roughly one-fifth the hourly cost of the slot ($5/hr vs $24/hr). The slot’s 4.0 standard deviation compounds the damage — stretched across 600 spins, it produces a far steeper Risk of Ruin over extended play.
Frequently asked questions
Can a game with a lower house edge have a higher risk of ruin?
It can. Wild volatility (large standard deviation) or bet sizing that’s large relative to your bankroll will push your ruin probability above that of a higher-edge but calm game. Edge describes cost; RoR describes survival.
How does the comparator estimate rounds per hour?
Defaults come from industry norms: 600 rounds/hr for online slots, 100/hr for crypto crash or plinko, 60/hr for live dealer tables, and 200/hr for fast virtual tables. Every figure is editable, so plug in speeds measured from your own sessions.
Is my probability of profit always higher in the short term?
In nearly every negative-edge game, yes. Your best shot at finishing ahead arrives in the opening rounds; from there, results drift toward negative expected value as sample size grows. That’s why discipline about when to stop matters as much as which game you pick.