Sweet Bonanza 2500 — RTP and statistics
Play Sweet Bonanza 2500 on Stake →Sweet Bonanza 2500 is a game by Pragmatic Play. Its measured all-time RTP on Stake is 94.69%, based on 118,049,809 bets and $1.85B of turnover. Figures below are actual player results, not the theoretical RTP advertised by the studio.
Ranked #42 of 10538 tracked games by turnover.
Released:
| Period | RTP | Turnover | Bets | GGR |
|---|---|---|---|---|
| Day | 84.88% | $246.84M | 596,913 | $37.31M |
| Week | 92.35% | $666.14M | 3,176,606 | $50.93M |
| Month | 94.08% | $1.01B | 13,988,686 | $59.83M |
| All time | 94.69% | $1.85B | 118,049,809 | $98.32M |
Updated:
Last 30 days
Day by day, since we started recording. Short periods swing hard — one large win moves a day's RTP well past 100% without saying anything about the game's long-run return.
Daily turnover ranged from $2.80M to $365.59M.
Daily RTP ranged from 82.41% to 116.95%. The dashed line marks 100% — break-even.
Advertised vs measured
Sweet Bonanza 2500 is advertised at 96.52%. Measured across every tracked bet on Stake it returned 94.69%, 1.83 pp lower than the published figure.
The advertised figure is the studio's long-run theoretical return. The measured figure is what players actually got. Short-run luck moves it either way; the more bets a game has, the closer the two converge.
Sweet Bonanza versions compared
Stake carries 8 versions of Sweet Bonanza. They are separate games with separate maths — advertised return differs, and measured return differs more. Highest measured RTP first.
| Version | Advertised RTP | Measured RTP | Difference | Bets |
|---|---|---|---|---|
| Sweet Bonanza Dice | 96.50% | 99.58% | +3.08 pp | 48,792,641 |
| Sweet Bonanza Super Scatter | 96.51% | 99.35% | +2.84 pp | 107,697,245 |
| Sweet Bonanza CandyLand | 96.48% | 97.96% | +1.48 pp | 16,126,303 |
| Sweet Bonanza 1000 Dice | 96.53% | 97.79% | +1.26 pp | 67,641,925 |
| Sweet Bonanza 1000 | 96.53% | 97.41% | +0.88 pp | 1,721,917,294 |
| Sweet Bonanza | 96.50% | 96.47% | −0.03 pp | 933,775,091 |
| Sweet Bonanza Xmas | 96.50% | 95.98% | −0.52 pp | 140,330,132 |
| Sweet Bonanza 2500 (this page) | 96.52% | 94.69% | −1.83 pp | 118,049,809 |
What these numbers mean
- RTP
- RTP (return to player) is the share of wagered money returned to players as winnings. These figures are measured — what players actually got — not the theoretical RTP a studio publishes. Over a single day the number swings widely because a few large wins move it; the all-time row is the meaningful one.
- Turnover
- Turnover is the total amount wagered in the period, converted to a USD equivalent across every currency accepted.
- Bets
- Bets is the count of individual wagers placed.
- GGR
- GGR (gross gaming revenue) is what the house keeps: turnover minus the winnings paid out. When RTP for a period rises above 100%, players finished ahead and GGR is negative.
Frequently asked questions
What is the real RTP of Sweet Bonanza 2500 on Stake?
Across all tracked play, Sweet Bonanza 2500 has returned 94.69% to players over 118,049,809 bets and $1.85B of turnover. Shorter periods differ — see the day, week and month rows above.
Why does this differ from the advertised RTP?
Pragmatic Play publishes a theoretical RTP calculated over billions of simulated rounds. The figure here is the measured result of real bets on Stake over a finite sample, so it lands near the theoretical number but rarely on it exactly.
Can a game show an RTP above 100%?
Yes, over short windows. It means players won more than they staked in that period — usually one large payout against modest turnover. It is variance, not a permanent edge, and it evens out as the sample grows.
How often are these figures updated?
Our crawler refreshes every tracked game on a rolling cycle, so each game is re-read every few hours.
Responsible gambling
This site reports statistics; it does not offer gambling advice. A high measured RTP does not make a game profitable — every game on this list keeps a house edge over time. If gambling stops being entertainment for you, these organisations offer free, confidential help: