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Crazy Time

Crazy Time results today and yesterday

Use the Crazy Time history as a dataset: choose the table, time window and record category first. Read the update status before interpreting a gap or an unusually large factor. Account profit requires accepted stakes and credited returns in addition to these public records.

The dashboard presents outcome labels, multipliers and timestamps from the public LiveCasinoData API for Crazy Time. It is designed to examine the history published by that source. Those records are neither a player’s casino account statement nor a service for predicting future outcomes.

Crazy Time · Game artwork

Latest records

These records come from a third party, not an official Evolution feed. Source categories and factors are retained as supplied, and delays or gaps may occur. A displayed factor does not prove an individual player’s payment.

The selected time zone and source timestamps determine calendar-day grouping. The available records may not cover the entire day.

Loading records…

— · All outcomes

Loading records…

Records supplied by LiveCasinoData under CC BY 4.0 come from a third party, rather than an official Evolution results service. We retain the source’s categories and factors; missing records and reporting delays may occur. A multiplier in this dataset cannot confirm the amount paid to an individual account.

Largest multipliers in this filtered sample

This ranking covers only the loaded source entries. It does not establish all-time records or a player’s cash winnings.

Period

Loading records…
Records—
Bonus flag rate—
Mean recorded multiplier—
Largest recorded multiplier—

Time window

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Bonus flag rate—
Records since last appearance—
Largest recorded multiplier—
Mean recorded multiplier—

Loaded records only. The selected window may not be fully covered.

Explore the history

Loaded records only. The selected window may not be fully covered.

Recorded multipliers, oldest to newest

Historical staking model

This is an illustrative replay with an assumed gross-return model. A matching outcome uses either the fixed factor you enter or the source factor; every non-matching record loses the stake. The model does not reconstruct a casino settlement, card lines or personal bonus selections.

Ending balance—
Net change—
Largest stake—
Maximum drawdown—
Total staked—

Staking ruleEnding balanceNet changeLargest stakeMaximum drawdownRecords

Outcome distribution

Multiplier ranges

Records since last appearance

Bonus flags by block

Multiplier heatmap

Latest 500 loaded records at most.

Outcome distribution · 30 d

OutcomeCountObserved share

Records supplied by LiveCasinoData under CC BY 4.0 come from a third party, rather than an official Evolution results service. We retain the source’s categories and factors; missing records and reporting delays may occur. A multiplier in this dataset cannot confirm the amount paid to an individual account.

On this page

Guide sections

Find today’s and yesterday’s records

Set the time zone after choosing Today, Yesterday or a calendar date. Asia/Kolkata supplies IST for India, while Europe/Rome follows Italy’s daylight-saving changes. Calendar-day boundaries fall at local midnight; they therefore do not describe the same period as a moving 24-hour window.

Up to 500 entries arrive in the first request. Load selected day can fetch earlier pages until the browser reaches its 10,000-record limit. The interface keeps the actual loaded interval visible because missing rows, delayed publication or a short archive may leave the day incomplete. These dates belong to source records and are not independently verified spin times.

Know the four fields behind each tile

FieldWhat it describesWhat it does not establish
resultRecorded wheel outcome or bonus labelYour selected bet
multiplierMultiplier supplied by the sourceYour net profit
bonusSource bonus classificationPersonal eligibility
created_atTimestamp attached to the recordTime of your account credit

Keeping these fields distinct stops a compact history tile from suggesting that the source contains more detail than it actually provides.

Check the source age before the colour of the tile

A completed API request has its own time, separate from the timestamp of the newest published entry. If the upstream service has not added another round, a successful refresh can legitimately return the same latest record.

Previously downloaded entries remain historical records when the feed fails. Their original timestamps should stay visible, with a stale-data or pending-refresh indication. An unavailable source must not be concealed with invented rounds or a simulated live counter.

Compare frequencies with a visible denominator

Always pair a bonus count with its sample size. Five bonus events among fifty entries mean something different from five among five hundred. For a time-based view, show the beginning and end of the examined window as well.

Nine of the 54 wheel segments are bonus positions. A limited observed sequence need not reproduce those proportions exactly. Frequencies on this dashboard belong to the records currently loaded and do not guarantee the distribution in a later session.

Treat player-choice bonuses carefully

Participants can select different targets in Cash Hunt and different flappers in the title bonus. One factor in a public data feed cannot reproduce every personal outcome within that shared event.

Use the public table to find an event and inspect its source category. For a wager involving real funds, use the operator’s accepted-bet and settlement records. Without the corresponding account evidence, a public tile cannot determine the amount involved in a dispute.

Read filters and missing data honestly

Filtering selects a subset of the loaded records; it does not necessarily retrieve an unlimited history. Check the displayed sample size and any option to fetch older entries. Filtered views may overlap, so adding their counts can double-count the same rounds.

A successful search with no matches is different from receiving no data because a request failed. The former can display an empty result; the latter should report unavailability. Preserve unknown outcome labels visibly rather than guessing a familiar selection to substitute for them.

Use charts to ask better questions

A category-distribution chart compares outcome counts, while a multiplier plot shows source factors. A staking replay adds its own assumptions and must be interpreted separately. None of these presentations changes the wheel or determines when a bonus will occur.

LiveCasinoData provides the records under its stated CC BY 4.0 licence. Our independent display organises and formats that material without certifying it as an exhaustive, official archive of settled game rounds.

Big wins, last bonuses and tracker comparisons

Select highest multipliers to rank the supplied factors within the current date filter, or restrict the history to bonus entries. The top-ten panel uses that same filtered sample. An entry marked 6,000× records a factor; it does not prove that a player received 6,000 times every chip committed across the round.

Before comparing trackers, align the table, time zone, period and multiplier definition. Different tables or ingestion delays can explain missing entries. Gap cards measure the loaded records since the most recent matching outcome and display that outcome’s source time. If no match is present, the sample contains no earlier occurrence; the gap is not therefore infinite.

Crazy Time, Crazy Time A and Crazy Time Italia

Crazy Time and Crazy Time A are separate feeds in the table selector. Changing the selection clears the previous table’s records and statistics before requesting the new one. Changing the guide language does not perform that table switch.

Evolution introduced Crazy Time Italia in September 2024, using Italian-speaking presenters in a Malta studio. That separate table’s live records are not included in this dashboard. Compare the exact table names when matching histories: shared bonus names and rules do not mean the same spins took place.

THE PRACTICAL DESK

Put the numbers to work

Change the example inputs to see how the arithmetic changes. These tools use the figures you enter; they do not read your casino account or predict a game result.

Sample frequency
Observed frequency
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Records outside this category
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Observed frequency = matching records ÷ all completed records in the chosen sample. It describes that sample only. Missing records and filtering can change the denominator; this is not the probability of the next result.

Questions and answers

Why did the page refresh without a new result?

The API can respond successfully before another upstream round has been published. Inspect the timestamp of the newest source entry.

Are the results from Evolution’s account system?

The displayed data is supplied by the public LiveCasinoData feed, not by your operator’s private account-settlement history.

Can the multiplier be used as net profit?

Not without knowing the settlement convention and your stake details. Bonuses involving individual choices introduce additional limits on reconstruction.

Does an empty filter mean the bonus is impossible?

No. After a successful request, it means that the selected loaded sample contains no matching records.

Why can today’s results differ between two trackers?

Align the game table, time zone, date boundaries and loaded period. Coverage differences and publication delays can produce different visible histories.

Is the highest multiplier an all-time biggest win?

No. It is the greatest source factor within the loaded, filtered records. That does not identify a cash payout or demonstrate an all-time record.

Written by

Jeffry Anderson

iGaming specialist · 8 years of experience

Jeffry Anderson’s guides connect live-game rules with recorded outcomes and the practical use of casino accounts. His work explains the mechanics, examines historical figures and compares the services offered by operators.

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