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Crash X

Turbo Games logoTurbo Games· Crash game

FairnessUnverifiable
Crash X cover art by Turbo Games
Illustration, not data

Specs

FairnessUnverifiable
Lab statusMeasured
Provider
Turbo Games logoTurbo Games
Category
Crash game
Provider claim
96%
Rounds counted
50,685 rounds
Last round recorded
17 Oct 2026, 10:23 UTC
Lab status
Measured
Rounds counted
50,685rounds
Provider claim
Provider claim
What is Provider claim?

Provider claim

The return the game provider states. We show it as a claim and compare it with what we count; we do not repeat it as fact.

96%

Provider source

Last round recorded
17 Oct 2026, 10:23 UTC

Past rounds describe behaviour. They do not predict the next round.

Short answer

No bot can predict Crash X: the Crash X game is designed so each round's crash point is independent of the last, and the lab will test this. Past results should therefore carry no information about the next one. The provider's stated Crash X RTP, a long-run return, is 96%. Across 50,685 recorded rounds, as of 17 Oct 2026, 10:25 UTC, the observed RTP @ 2x (fixed cash-out) was 94.2% (95% CI 93.3% to 95.0%).

In 50,685 recorded Crash X rounds (as of 17 Oct 2026, 10:25 UTC): 6.3% ended below 1.01x (95% CI 6.1% to 6.5%); 9.6% reached 10x (95% CI 9.3% to 9.8%); the highest multiplier recorded was 7,985x† (observed, no interval).

Core stats

Each figure carries its sample size, its time and its 95% interval. Median and highest multiplier are facts about the sample, so they carry no interval.

Observed RTP @ 2x (fixed cash-out)
What is Observed RTP @ 2x (fixed cash-out)?

Observed RTP @ 2x (fixed cash-out)

If every round were cashed out automatically at 2x, this is the long-run return measured in the current sample. With a small sample it can differ noticeably from the theoretical value.

94.2%

n
50,685
95% CI
93.3% to 95.0%
as of
17 Oct 2026, 10:25 UTC
Median crash
What is Median crash?

Median crash

Half of the results fall below this multiplier and half above it. Compared with the highest multiplier, the median is closer to what a typical round is like.

1.87x

n
50,685
as of
17 Oct 2026, 10:25 UTC
95% CI
Observed in sample · no interval
Instant-crash rate
What is Instant crash rate?

Instant crash rate

The share of rounds that crash at a very low multiplier. It describes the risk in the low tail.

6.3%

n
50,685
95% CI
6.1% to 6.5%
as of
17 Oct 2026, 10:25 UTC
Highest multiplier
What is Highest multiplier?

Highest multiplier

The highest multiplier seen in the sample. It does not make a similar multiplier any more likely in the next round.

7,985x

n
50,685
as of
17 Oct 2026, 10:25 UTC
95% CI
Observed in sample · no interval
Sample size
What is Sample size?

Sample size

How many recorded rounds this figure is based on. The more rounds, the narrower the interval around a measured value.

50,685rounds

as of 17 Oct 2026, 10:25 UTC

Return per round
What is 95% interval?

95% interval

The range that would contain the true long-run value in 95 of 100 repeated samples of this size. It narrows as more rounds are counted.

94.2%

n
50,685
95% CI
93.3% to 95.0%
as of
17 Oct 2026, 10:25 UTC

Recent rounds

History, not a forecast. Times approximate.

Newest first, 10:23 UTC back to 10:17 UTC

  1. 36.03x
  2. 1.20x
  3. 1.12x
  4. 10.65x
  5. 1.04x
  6. 1.98x
  7. 1.05x
  8. 21.29x
  9. 4.79x
  10. 5.71x
  11. 1.40x
  12. 1.17x
  13. 1.34x
  14. 1.20x
  15. 4.31x
  16. 1.51x
  17. 2.27x
  18. 2.80x
  19. 11.96x
  20. 1.31x

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  • The last 500 recorded rounds of this game

Logging in uses Telegram. The conclusions on this page stay public without it.

Crash multiplier distribution

Where rounds ended, in eight bands. The first band is the instant crash: rounds that ended below 1.01x.

Log in free with Telegram to see the full data

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Survival curve

The share of rounds that reached each multiplier before ending: RTP at t divided by t, measured at five targets.

RTP by cash-out target

The long-run return if every round were cashed out automatically at the same target.

Crash DNA

Five descriptive bands from the measured sample. A description of behaviour, not a score and not a recommendation.

Milestones

RTP @ 2x and the instant-crash rate at fixed round counts. The 95% interval narrows as rounds come in.

Crash X: RTP @ 2x and the instant-crash rate at each milestone, with 95% intervals
MilestonePeriod (UTC)RTP @ 2x (95% CI)Instant crash (95% CI)
10,000 rounds 7 Oct 2026 – 9 Oct 202692.7% 90.7% to 94.7%6.4% 6.0% to 6.9%
25,000 rounds 7 Oct 2026 – 12 Oct 202694.1% 92.9% to 95.4%6.2% 5.9% to 6.5%
50,000 rounds 7 Oct 2026 – 17 Oct 202694.2% 93.3% to 95.1%6.3% 6.1% to 6.5%
All rounds so far 50,685 roundsas of 17 Oct 2026, 10:25 UTC94.2% 93.3% to 95.0%6.3% 6.1% to 6.5%

No sign of a change over time: the 5 blocks of 10,000 rounds agree with each other (test p ≥ 0.5).

Each milestone is fixed once reached; later rounds only add new rows. Past rounds describe behaviour; they do not predict the next round.

Compare with other crash games

Monthly measured report: We counted 31,749 Crash X rounds: measured RTP vs the 96% claim (Oct 2026)

Myth checks

What players believe about Crash X, what the game's design and maths say, and what the lab has counted so far.

  1. Can Crash X be predicted?

    A bot, app or signal group can predict the next result.

    Not true

    No. Games are designed so each round is independent of the last; the lab will test this. Past results should therefore carry no information about the next one. Predictor apps show their hits and hide their misses; some are marketed alongside referral links.

    How the lab will test it Lag-1 autocorrelation of consecutive outcomes and the hit rate of any published 'signal' against recorded rounds.

    Read the full check

  2. Are there hot hours or patterns in Crash X?

    Games pay more at certain hours (jam gacor) or follow readable patterns (pola).

    Not true

    No. The game does not know the time or your history. Any hour or pattern that looks hot is the normal clustering of random results; it should not repeat on fresh data, and the lab will test this.

    How the lab will test it Outcome distribution by hour-of-day compared with a chi-square test across hours.

    Read the full check

  3. Does doubling after a loss work in Crash X?

    Doubling the bet after each loss guarantees a profit.

    Not true

    No. Doubling wins small amounts often and loses everything occasionally. A long enough losing streak always arrives, and the next bet then exceeds the bankroll or the table limit. The house edge stays the same on every bet.

    How the lab will test it Exact loss-streak probabilities plus seeded simulation against recorded outcome frequencies.

    Read the full check

  4. Is Crash X rigged?

    The game is rigged against players beyond its stated return.

    Open: measured here

    This is what the lab measures. Every game has a built-in house edge; the question is whether actual results match the provider's stated return. We publish measured return with its margin of error so you can see the answer, not take ours.

    Measured so far (observed RTP @ 2x (fixed cash-out)): 94.2% (95% CI 93.3% to 95.0%) from 50,685 rounds as of 17 Oct 2026, 10:25 UTC, against 96% provider claim.

    How the lab tests it Measured RTP with a 95% confidence interval compared with the provider claim.

    Read the full check

Rules & math

A multiplier rises from 1.00x until the round ends at a random crash point. Cash out before the crash to receive your stake times the multiplier at that moment; still in at the crash, the stake is lost.

What the provider claim implies

If the stated return of 96% holds, the share of rounds that reach a multiplier t is 96% divided by t. These are consequences of the claim, not measurements.

Multiplier tRounds reaching t if the claim holds
1.5x64.0%
2x48.0%
3x32.0%
5x19.2%
10x9.6%

Fairness

UnverifiableWe found no public mechanism for checking a result. Only the pattern of results over many rounds can be measured.

How the badges are assigned

Questions

Prediction, patterns, doubling and rigging are answered in the myth checks above.

How often does Crash X crash at 1.00x (instant crash)?
Of 50,685 recorded Crash X rounds (as of 17 Oct 2026, 10:25 UTC), 6.3% ended below 1.01x, shown as 1.00x: the instant crash (95% CI 6.1% to 6.5%). If the provider's 96% holds and the game follows the standard crash formula (the chance of reaching x is the RTP divided by x), about 5.0% of rounds would end below 1.01x. The formula's 5.0% lies outside this 95% interval, so over these 50,685 rounds Crash X's share differs from the standard formula. That is a measurement, not a finding about fairness: the provider's claim is tested by the measured return at 2x. Past rounds describe behaviour. They do not predict the next round. See how the lab counts it.
How often does Crash X reach 2x and 10x?
47.1% of recorded Crash X rounds reached 2x (95% CI 46.6% to 47.5%, n 50,685) and 9.6% reached 10x (95% CI 9.3% to 9.8%, n 50,685), as of 17 Oct 2026, 10:25 UTC. If the provider's 96% holds and the game follows the standard crash formula, about 48.0% would reach 2x and 9.6% would reach 10x. These are shares of past rounds, not odds for the next round.
What is the highest multiplier recorded in Crash X?
7,985x†, the highest the lab has recorded for Crash X in 50,685 rounds (as of 17 Oct 2026, 10:25 UTC). † Observed in recorded rounds, so it has no interval. It is a record of past rounds, not a target or a prediction.
Is Crash X's 96% RTP real?
The provider states 96% (source: https://turbogames.io/games/crash-x/). Measured by the lab on Crash X at a fixed 2x cash-out: 94.2% (95% CI 93.3% to 95.0%) over 50,685 rounds, as of 17 Oct 2026, 10:25 UTC. The whole interval sits below the claim. With many games compared at once, about one interval in 20 misses by chance, so this is a watch, not a finding. Observed RTP @ 2x is the return of a fixed 2x cash-out over this sample, not the game's overall RTP.
How do I cite the Crash X data?
Use the reference under Data & citation on this page. Once a figure is published it names the metric, its value, the 95% interval, the exact number of rounds and the UTC as-of time, with the methodology version, the citation id and the page link. The id names a game and a month, not a frozen snapshot, so always quote the figure with its n and as-of. Published figures and fingerprints are under CC BY 4.0. Each UTC day of raw records is sealed with a published SHA-256 fingerprint, so a file released later can be checked against it.

Data & citation

Daily fingerprints

Each UTC day of this game's raw records is sealed after 00:30 UTC the next day, and its row count and SHA-256 fingerprint are published here. The last 30 sealed days are listed.

Day (UTC)RowsSHA-256
4,9831b3a406f957e1fa430200561c9a704cd9a19ace5ebc0c9c76c15002062b80a5f
4,971cbd739799258115ae3347fb513e4930772779cdacc9821c7443546f47f304cfb
4,9213178a2c7307ad4c131646f8ed11b7e5ef2193712e8e5d9b394075b8bad491064
4,966646c9130f2c9041d4f4e4c6f9a62da525e8fd000a1842bf0f20414c741f65359
4,9242e5d9e588eca0a5f49a6fca6a5589a35ee349d4829085280a2c4296a738e751a
4,8982b628e39bd0e1c13547eeab699fe2a96e338c75f6c4723f147faa2d447662a3d
4,894e08d4b5b3ba0a683ddf47c015ce201921fb20679a89e3da7d9587a9001e626c8
4,93004a3f4b78ccf24159d2a2fb84bd00cbb43a5980dc1a00d33c145fcc388e0341b
4,908ebba4f28ab25295adb7a68d39f44408f867f4622a6e548bd0a8d93c8620b7d9f
4,125a7b936333facf4c30fd8499f58145538539d0fbab60ff66ab70c0aa746fb2278

Raw per-round rows are not published for download. Raw rows are released on request to logged-in users through the data page (Telegram login), up to 5 requests in any 24 hours; a file sent for a day matches its published SHA-256. Raw data on request

Citation id
cw:crash-x:2026-10:v1
Cite as
Clash Watchdog (2026). Crash X (Turbo Games): Observed RTP @ 2x (fixed cash-out): 94.2% (95% CI 93.3% to 95.0%), n = 50,685 rounds, as of 17 Oct 2026, 10:25 UTC. Methodology lab-v2.0 (site), crashlab-v1 (feed). cw:crash-x:2026-10:v1. https://clashwatchdog.com/games/crash-xObserved RTP @ 2x is the return of a fixed 2x cash-out over this sample, not the game's overall RTP.
Licence
CC BY 4.0. Cite Clash Watchdog and link the dataset.
Methodology
lab-v2.0 (site), crashlab-v1 (feed). How we count