HOW MUCH DO CRYPTO CASINOS MAKE?
Crypto Casino GGR & Revenue Estimates
Compare modelled gross gaming revenue across 50 tracked crypto casinos by month, year, and rolling period.
TRACKED CASINOS502021-08-18 to 2026-08-17
PERIOD
MARKET RANGE
Leading crypto casino revenue estimates
Point = central estimate · bar = model range
01Stake$4.3B
02Roobet$1.1B
03Shuffle$550.5M
04Rainbet$526.8M
05BC Game$500.9M
06Duel$368.3M
07Gamdom$347.0M
08Sportsbet.io$317.2M
09StakeUS$216.4M
10Rollbit$191.0M
CASINO RANKING
Estimated GGR & revenue by casino
Sorted by the selected period’s central estimate
| # | Casino | Estimated GGR | Estimate range | Observed volume | Coefficient |
|---|---|---|---|---|---|
| 1 | Stake | $4.3B | $3.7B – $4.7B | $21.1B | 20.2% |
| 2 | Roobet | $1.1B | $934.0M – $1.2B | $5.4B | 20.1% |
| 3 | Shuffle | $550.5M | $480.8M – $600.8M | $2.6B | 20.8% |
| 4 | Rainbet | $526.8M | $458.1M – $577.2M | $2.6B | 20.6% |
| 5 | BC Game | $500.9M | $438.4M – $545.7M | $2.4B | 20.9% |
| 6 | Duel | $368.3M | $318.0M – $406.1M | $1.8B | 20.4% |
| 7 | Gamdom | $347.0M | $300.8M – $381.4M | $1.7B | 20.5% |
| 8 | Sportsbet.io | $317.2M | $225.9M – $404.8M | $1.5B | 21.0% |
| 9 | StakeUS | $216.4M | $183.5M – $242.6M | $1.1B | 20.5% |
| 10 | Rollbit | $191.0M | $174.4M – $199.8M | $911.5M | 21.0% |
| 11 | Wanbi | $177.4M | $154.9M – $193.7M | $853.3M | 20.8% |
| 12 | 1WIN | $177.4M | $153.5M – $195.2M | $867.4M | 20.5% |
| 13 | Winna | $123.2M | $106.3M – $136.1M | $607.0M | 20.3% |
| 14 | Thrill | $116.1M | $99.5M – $128.9M | $578.8M | 20.1% |
| 15 | 1xBet | $109.9M | $94.3M – $121.9M | $504.2M | 21.8% |
| 16 | Cloudbet | $64.4M | $53.0M – $74.0M | $329.8M | 19.5% |
| 17 | Yeet | $63.9M | $54.7M – $71.0M | $319.1M | 20.0% |
| 18 | 500 Casino | $58.1M | $50.2M – $64.0M | $269.7M | 21.5% |
| 19 | Razed | $57.7M | $49.9M – $63.5M | $282.0M | 20.4% |
| 20 | Lucky.fun | $53.4M | $43.5M – $61.8M | $252.8M | 21.1% |
| 21 | MetaWin | $51.1M | $44.2M – $56.2M | $237.7M | 21.5% |
| 22 | BetFury | $50.0M | $43.2M – $55.1M | $245.3M | 20.4% |
| 23 | Solcasino | $47.5M | $40.8M – $52.6M | $218.0M | 21.8% |
| 24 | Duelbits | $43.3M | $37.5M – $47.6M | $205.2M | 21.1% |
| 25 | Betpanda.io | $42.2M | $35.7M – $47.4M | $188.5M | 22.4% |
| 26 | Moon Roll | $29.9M | $24.1M – $34.9M | $149.8M | 20.0% |
| 27 | Spartans | $27.3M | $23.4M – $30.4M | $130.0M | 21.0% |
| 28 | CoinCasino | $23.3M | $20.0M – $25.8M | $106.6M | 21.8% |
| 29 | Whale.io | $21.3M | $18.5M – $23.3M | $100.1M | 21.2% |
| 30 | TG.Casino | $20.2M | $16.4M – $23.4M | $90.7M | 22.2% |
| 31 | Gamba | $18.2M | $15.8M – $20.1M | $84.8M | 21.5% |
| 32 | ToshiBet | $17.8M | $15.5M – $19.4M | $85.7M | 20.7% |
| 33 | Dicey | $13.2M | $11.0M – $15.0M | $66.2M | 19.9% |
| 34 | Acebet | $11.2M | $9.7M – $12.4M | $54.3M | 20.7% |
| 35 | Goated | $10.5M | $8.9M – $11.7M | $47.6M | 22.0% |
| 36 | Chips | $8.2M | $6.8M – $9.3M | $37.3M | 21.9% |
| 37 | Degen | $7.1M | $5.9M – $8.1M | $32.9M | 21.7% |
| 38 | Jackpotbet | $6.4M | $4.9M – $7.7M | $29.1M | 21.9% |
| 39 | Housebets | $5.3M | $4.4M – $6.1M | $26.7M | 20.0% |
| 40 | Qzino | $4.7M | $4.0M – $5.3M | $21.9M | 21.4% |
| 41 | Betplay.io | $3.5M | $2.8M – $4.0M | $16.1M | 21.4% |
| 42 | Wagon Bet | $3.0M | $2.6M – $3.4M | $13.8M | 21.9% |
| 43 | Bluff | $2.1M | $1.7M – $2.4M | $9.9M | 20.8% |
| 44 | Hunny Play | $1.3M | $1.1M – $1.6M | $6.0M | 22.4% |
| 45 | WSM Casino | $1.3M | $1.0M – $1.5M | $5.6M | 22.6% |
| 46 | Duckdice.io | $1.1M | $937.7K – $1.2M | $5.0M | 22.2% |
| 47 | Betstrike | $951.8K | $764.9K – $1.1M | $4.7M | 20.1% |
| 48 | Flush | $826.0K | $693.9K – $933.1K | $3.6M | 22.6% |
| 49 | Cybet | $811.8K | $675.5K – $924.5K | $3.7M | 22.0% |
| 50 | Degens | $528.0K | $413.6K – $630.8K | $2.4M | 22.4% |
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Use the same estimated revenue data
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METHODOLOGY
Estimate method
The model compares publicly disclosed gaming revenue with observed on-chain volume from the same dates to derive a period coefficient. That coefficient is applied to each casino’s observed volume, with a limited profile adjustment.
Formula
estimated GGR = observed volume × period coefficient × profile adjustment estimate range = observed volume × calibrated lower/upper coefficient
Range inputs
- Observation coverage — visible dates and attributed wallets
- Period variation — changes in comparable revenue-to-volume ratios
- Operator profile — differences in observed transfer mix and structure
Metric boundary
Observed volume is external inbound to attributed operator wallets and can include transfers that are not player deposits. Estimated GGR is model output, not reported revenue.