Stake Crash Live Stats: How Our Tracker Works (and What the Data Shows So Far)
By LiveCasinoData editorial team · Updated 2026-08-28 · 13 min read
Our Stake Crash tracker records the exact crash point of every round from the casino.org feed, 2,794 rounds since tracking began on 2026-08-27. The live page sorts each round into five multiplier buckets, tracks gaps between big hits, and compares observed shares against the game's 1% house edge. So far every bucket sits close to theory, and the round-level RTP field averages 99.55% against a 99% published figure.
Key takeaways
- The tracker at /games/stake-crash stores one number per round, the exact crash multiplier, sorted into five buckets: under2, 2to5, 5to10, 10to50 and over50.
- As of 2026-08-28 the tracker holds 2,794 rounds, all captured in roughly the first day of tracking since 2026-08-27, so figures here are early rather than settled.
- Observed bucket shares (under2 49.43%, 2to5 30.28%, 5to10 9.41%, 10to50 8.41%, over50 2.47%) sit within about a point of the theoretical model built from a 1% house edge.
- The average crash multiplier so far is 11.02x, but that figure is dragged up by three rounds over 1,000x out of 2,794; the median of 2.02x is the more useful typical figure.
- Gaps between big hits vary widely this early: the average wait between 10x-or-higher rounds is 9.2 rounds, and between 50x-or-higher rounds is 40.0 rounds, with a longest observed gap of 193 rounds without a 50x hit.
Live data: last 90 days of Stake Crash
Open the live tracker →| Result | Observed | Theoretical | Difference | Avg multiplier | Max |
|---|---|---|---|---|---|
| < 2x | 48.8% | 50.5% | -1.7 | 1.4x | 2x |
| 2-5x | 30.61% | 29.7% | +0.91 | 3x | 5x |
| 5-10x | 9.44% | 9.9% | -0.46 | 6.8x | 10x |
| 10-50xbonus | 8.55% | 7.92% | +0.63 | 19.8x | 50x |
| 50x+bonus | 2.6% | 1.98% | +0.62 | 303.4x | 3,675x |
Longest gap without 50x+ in this window: 193 spins. Every spin is independent; a long gap does not change the next spin's odds.
Source: LiveCasinoData tracker, refreshed every 10 minutes. Figures on the live page move as new rounds arrive.
Stake Crash has no wheel, no dealer and no fixed segments; every round produces one continuous number, the point where the multiplier curve crashes, and our tracker stores that number for every round the moment it settles. As of 2026-08-28 that is 2,794 rounds, captured since tracking began on 2026-08-27, all within roughly the first 24 hours of coverage. This page explains what a stored round actually contains, how to read the live-page widgets, and what that first day of data shows, with an honest note about how thin the sample still is. For the rules of the game itself, start with the how-to-play guide.
What does the Stake Crash tracker actually record?
A stored round holds the exact crash multiplier to two decimal places, the bucket that multiplier falls into, and that round's own realized payout percentage; nothing about which players bet or how much.
The raw feed we pull from is multiplayer: it carries a bettor count, a winner count, total amounts wagered and paid, and a list of individual players with their own cash-out multipliers. We do not store that per-player list. What lands in our database is the round-level outcome only, taken from the feed's result.maxMultiplier field. The multiplier column holds that crash point; the result column holds the bucket key; and a result_details field carries the same crash multiplier alongside the bucket label, the round's own realized RTP (round_rtp, how much of the money wagered that round actually got paid back across every bettor who cashed out), and how long the round's climb lasted in milliseconds.
Because there is no wheel with fixed segments, we group the continuous crash point into five ranges so the numbers can drive the same style of widgets used on wheel-based game pages:
- under 2x, the most common outcome by a wide margin
- 2x to 5x
- 5x to 10x
- 10x to 50x, flagged in our data as a "big win" round
- 50x and above, also flagged as a big win
A few figures to set the scale: 2,794 rounds tracked since 2026-08-27 11:11, an average round (climb only, not the betting window) lasting about 16.9 seconds, and a pace of roughly 130 rounds an hour, meaning a fresh result about every 27 to 28 seconds around the clock. That is a fast-moving feed for such a young dataset, which is worth remembering every time this page cites a percentage: it is one day of results, not ninety.
How is a crash game different from a wheel spin?
Stake Crash comes from Stake, a Curacao-licensed operator's in-house Stake Originals studio, not from a live-dealer supplier like Evolution or Pragmatic Play, so there is no streamed table, no host and no physical randomizing device to watch.
Games such as Crazy Time or Monopoly Live settle by a wheel stopping on one of a fixed set of segments, and every segment has a known slot count. Stake Crash instead runs a server-driven curve that could in principle stop anywhere above 1.00x, verified after the fact through a provably fair process rather than a camera. That structural difference is why this page talks about buckets and percentiles instead of segments and slot counts, and why "drought" here means rounds since the multiplier last cleared a threshold rather than rounds since a specific wheel slot landed.
It is also why direct comparisons across games only go so far. Evolution's own crash-themed title, Cash or Crash, still uses a live host and a physical device around its crash mechanic. Stake's Slide is a closer cousin, another server-driven multiplier game from the same studio, and Lightning Dice is a further example of an RNG-driven multiplier game without a wheel. Each has its own odds model, so a bucket share on this page should not be read across to any of them.
How do I read each widget on the live page?
Every panel on /games/stake-crash describes rounds that already happened. None of them predicts the next crash point.
Live results strip. The newest rounds, most recent first, each with its crash multiplier and bucket. Use it to check what just happened or to confirm a round you watched live.
Bucket shares panel. How often each of the five buckets has actually landed in the selected window, next to the theoretical share the 1% house edge implies. This is the fastest way to sanity-check that the feed is behaving as expected.
Highest multipliers panel. The biggest crash points in the window, with their dates. Good for context on how rare a 100x or 1,000x round is; not a signal that another one is close.
Drought and gap tracker. Rounds since a 10x or 50x threshold was last cleared, next to the average gap and the longest gap on record so far. It measures how long the current wait has been. It does not shorten the next wait, because round outcomes do not depend on each other.
Probability calculator. Enter a target multiplier and a number of rounds, and it returns the chance of at least one round reaching that multiplier in that span, using the fixed 0.99/x survival curve. Unlike the descriptive widgets, this one is genuinely forward-looking, because it applies theory rather than history.
Hot and cold panel. Which buckets have landed above or below their expected share recently. Purely descriptive. A bucket running "hot" is not more likely to keep landing, and a "cold" bucket is not owed a correction.
Streak and pattern widgets. Runs of the same bucket, or sequences that seem to repeat. In any dataset of thousands of independent rounds, streaks and repeats will appear somewhere; that is a property of randomness, not evidence of a pattern worth following.
What does the data show so far?
The bucket shares line up closely with the theoretical model, with one bucket running slightly hot on a small sample.
| Bucket | Theoretical share | Observed rounds | Observed share | Difference |
|---|---|---|---|---|
| under2 | 50.50% | 1,381 | 49.43% | -1.07 |
| 2to5 | 29.70% | 846 | 30.28% | +0.58 |
| 5to10 | 9.90% | 263 | 9.41% | -0.49 |
| 10to50 | 7.92% | 235 | 8.41% | +0.49 |
| over50 | 1.98% | 69 | 2.47% | +0.49 |
Every bucket sits within roughly a point of theory, and over50 running half a point high is exactly the kind of wobble a 69-hit sample produces; it is not evidence the curve is generous. The theoretical shares come from the game's published survival function, P(crash at or above x) = 0.99 divided by x, which bakes in a fixed 1% house edge no matter which threshold is chosen.
A second, independent confirmation sits inside the feed itself. Each round carries its own realized RTP, the share of everything wagered that round actually paid back across every bettor who cashed out. Averaged across all 2,794 rounds, that figure is 99.55%, close to the 99.00% RTP Stake publishes for the game. Two different measurements, the crash-point distribution and the money actually returned, point at the same edge. For how this compares with the RTP tracking we run across every game, see the RTP page for Stake Crash and the site-wide RTP monitor.
How do crash multipliers behave within each bucket?
Inside every bucket the multiplier is skewed toward its low end, and the skew gets sharper the higher the bucket.
| Bucket | Average multiplier | Median multiplier |
|---|---|---|
| under2 | 1.37x | 1.32x |
| 2to5 | 3.00x | 2.78x |
| 5to10 | 6.80x | 6.50x |
| 10to50 | 20.35x | 16.87x |
| over50 | 286.89x | 94.32x |
The over50 bucket shows the pattern most clearly: a median of 94.32x against an average of 286.89x, meaning a typical big-bucket round is nowhere near the average, which is pulled far above the middle by a handful of exceptional crashes.
Across all 2,794 rounds so far, 304 (10.9%) reached 10x or higher, 69 (2.5%) reached 50x or higher, 33 (1.2%) reached 100x or higher, and just 3 (0.11%) reached 1,000x or higher. The largest crash points recorded so far are listed below, all on 2026-08-27, the tracker's first day.
| Rank | Crash multiplier | Date and time |
|---|---|---|
| 1 | 3,234.05x | 2026-08-27 15:41 |
| 2 | 3,116.66x | 2026-08-27 12:04 |
| 3 | 2,593.79x | 2026-08-27 19:21 |
| 4 | 993.39x | 2026-08-27 14:54 |
| 5 | 953.70x | 2026-08-27 17:44 |
| 6 | 585.28x | 2026-08-27 14:28 |
| 7 | 511.88x | 2026-08-27 23:21 |
Why is the "average multiplier" a misleading number?
Because the overall average crash multiplier, 11.02x across all 2,794 rounds, is dominated by a tiny number of enormous crashes and should not be read as a typical result; the median, 2.02x, describes the middle of the distribution far better.
This is not a quirk of a small sample, it is built into the maths. Because P(crash at or above x) equals 0.99 divided by x, the distribution has a heavy tail: as x grows, the probability shrinks slowly enough that occasional huge crashes contribute disproportionately to any running average. Three rounds out of 2,794, about one in a thousand, cleared 1,000x, and those three rounds alone are enough to lift the mean well above where most rounds actually land. Add more history and the average will keep swinging as the next rare outsized crash arrives; it is not converging toward a stable number the way a wheel segment's share does.
The theoretical survival curve makes the underlying odds explicit for any cashout target:
| Target multiplier | P(crash reaches target) |
|---|---|
| 2x | 49.5% |
| 5x | 19.8% |
| 10x | 9.9% |
| 50x | 1.98% |
| 100x | 0.99% |
| 1,000x | 0.099% |
The expected value works out the same, -1%, whichever target a player fixes an auto-cashout to. Cashing out often near 2x and chasing a rare 50x both carry the identical theoretical edge against the player; the only thing that changes is variance, not the odds. For a fuller walk-through of manual versus auto cash-out and why no target is mathematically safer, see Cashout Strategy & Auto-Cashout.
What do gaps and droughts look like in a continuous game?
A drought here means rounds since the multiplier last cleared a threshold, and so far the average wait is 9.2 rounds for a 10x-or-higher round and 40.0 rounds for a 50x-or-higher round, with a longest observed gap of 54 rounds and 193 rounds respectively.
Those gap lengths are consistent with independent, memoryless rounds. The chance of missing 10x for 54 rounds in a row, given a 9.9% chance each round, is small but unremarkable across thousands of attempts; the chance of missing 50x for 193 rounds, given a 1.98% chance each round, is smaller still yet not extraordinary once you consider how many chances for a long gap exist inside 2,794 rounds. Neither gap means the curve is about to compensate on the next round. Believing that a long wait raises the odds of an imminent big multiplier is the gambler's fallacy, applied to a crash game instead of a wheel.
The same independence follows from how the game generates each result. Stake states that a round's crash point is derived from a server seed, hashed and published before betting opens and revealed once the round settles, combined with a client seed and nonce so the outcome can be checked afterward. That process, not any notion of the game "remembering" recent rounds, is what a player can actually verify; the exact hashing method sits in Stake's own rules panel inside the client. Chasing a bucket because it feels overdue substitutes a feeling for that verification, and it does not change the odds of the next round.
Because the tracker is only about a day old, treat these particular gap figures as early readings rather than the longest droughts this game will ever produce. A single unusually long or short gap in a 2,794-round sample can shift the averages noticeably; it will take weeks of continuous data before the numbers stop moving much with each new round. The strategy guide covers why chasing droughts with bet-doubling systems does not overcome the underlying edge, regardless of how the wait is currently running.
How do I check today's Stake Crash results?
Open /games/stake-crash and read the live results strip, which lists the newest rounds as they settle, roughly one every 27 to 28 seconds.
Because rounds run continuously with no scheduled breaks, there is no fixed daily results page to publish; anything printed here would be outdated within a minute of going live. Right now, with only about a day of history, the tracker's 24-hour window covers close to everything we have recorded, so the bucket shares and gap figures on this page and on the live tracker will look almost identical until more days of rounds accumulate and a real 24-hour slice becomes a small fraction of the total.
Timestamps in our data follow the feed's own clock. If you are comparing a session you played against the highest-multipliers panel, check the listed time against your own time zone before assuming a result you saw does or does not match what the tracker recorded.
How reliable is this data, and what are its limits?
The tracker is young, one day of coverage as of 2026-08-28, so treat every percentage on this page as an early reading that will firm up, not a settled long-run figure.
Two limits matter beyond the sample size. First, our database stores the round-level outcome only, the crash multiplier, its bucket and the round's realized RTP; it does not store individual bettor cash-outs, wager sizes or the total number of players in a round, all of which the raw feed carries but we do not retain. Second, a feed outage or collector restart can leave a stretch of rounds unrecorded, and a missing stretch shows up as a gap in our numbers rather than as an estimate, so a short window with an unusually low round count is more likely a data gap than a quiet period in the actual game, which runs continuously.
Neither limit changes the direction of what the data already shows: bucket shares near theory, an observed round-level RTP of 99.55% close to the published 99.00%, and gap behavior consistent with independent rounds. It simply means the specific numbers on this page, especially anything drawn from the smaller over50 bucket, should be expected to move as more rounds arrive. No fixed cashout target beats the built-in 1% edge, the curve carries no memory between rounds, and a long gap without a big multiplier is not a signal that one is due; treat Stake Crash, like any multiplier game, as entertainment with a budget set in advance rather than a way to profit over time. For a broader picture of how the site checks fairness across games, see the fairness index and the responsible gambling observatory.
Frequently asked questions
What is Stake Crash and how does it work?
Stake Crash is a provably fair multiplier game from Stake's in-house Stake Originals studio, not a live-dealer wheel show. Each round opens a short betting window, then a multiplier climbs from 1.00x until it crashes at a random point; a bet only pays if it is cashed out, manually or via an auto-cashout target, before the crash. Rounds run continuously, with a new one roughly every 27 to 28 seconds.
How many Stake Crash rounds does the live tracker have?
As of 2026-08-28 the tracker holds 2,794 rounds, all recorded since tracking began on 2026-08-27. That is roughly the first day of data, so bucket shares and gap statistics are still settling; a small bucket like over50 (69 hits so far) will move more than a large one as more rounds accumulate.
What is the biggest Stake Crash multiplier recorded so far?
The highest crash point our tracker has recorded is 3,234.05x, on 2026-08-27. A second round reached 3,116.66x the same day, and a third hit 2,593.79x. Only three of the 2,794 rounds tracked so far, about 0.11%, crashed at 1,000x or higher, which is why huge multipliers dominate headlines while doing little to the typical round.
Does Stake Crash have patterns or hot and cold buckets?
No. Each round's crash point is generated independently through Stake's provably fair process, so no bucket is "due" after a drought and no run of small crashes changes the odds of the next round. Our hot/cold and streak widgets describe what already happened in 2,794 rounds; they do not forecast round 2,795.
How do I see today's Stake Crash results?
Open /games/stake-crash and use the live results strip, which lists the newest rounds with their crash multiplier and bucket. Because rounds arrive roughly every 27 to 28 seconds around the clock, there is no static daily results page; the tracker's 24-hour window is the closest thing, and right now that window covers nearly all the data we have.