Years vs. model Kaskada

Does any year deviate from the model — and does it mean anything?

What would you like to check?

Enter or load your numbers in the analyzer. The latest draw report describes the actual draw, not your selection.

Explore all statistics — guided topics

These pages describe the history of this game. They do not predict future numbers. Use the selection tool on a page to compare your own numbers.

Numbers and gaps

Start with frequency and gaps: how often each number appeared in the selected historical sample.

Draw structure

Compare sum, parity, endings and range. On a page with a selection comparison, open it to check your numbers.

Relationships and random model

Explore pairs, triples and partners, then the random model. Historical relationships do not improve future odds.

Draws and tools

Read the latest draw report for the actual drawn numbers. Use the analyzer and matching draws for your own selection.

Game: Kaskada
Latest draw: 01.10.2026 22:00
Draw number: 9448
Calculated at: 01.10.2026 23:41
Source: Service draw archive

Deviations from the model across years

Each row is one year of Kaskada draws. The measures compare that year’s hit counters for 24 numbers with the equal-chance model.

Deviation-from-model measures for each year separately
			df		Number
2011	204	18,039	23	1,680	20
2012	313	24,225	23	1,752	15
2013	357	22,828	23	2,593	18
2014	365	25,605	23	2,984	3
2015	365	32,452	23	2,984	7
2016	722	28,352	23	2,456	14
2017	730	23,011	23	2,591	12
2018	730	22,832	23	1,851	14
2019	730	29,091	23	2,295	12
2020	732	21,942	23	1,848	6
2021	730	23,977	23	2,591	7
2022	730	11,416	23	1,480	18
2023	730	20,007	23	2,073	15
2024	732	23,922	23	1,996	14
2025	730	38,848	23	3,183	9
2026	548	40,740	23	3,332	9

Methodology

N is the number of draws in that year. All measures in the row refer only to that year's history.

T measures the total deviation of all numbers' hit counts from the expected value under the equal-chance model: the larger T is, the further the yearly counts stray from a uniform distribution.

df is the number of degrees of freedom for this measure — one less than the numbers in the pool.

max |z| is the largest single standardized deviation among all numbers, and "number" indicates which number it belongs to. When counts are tied, the lower number is shown.

Don't compare years with different N as if they were identical trials: with a small N the same differences in hits produce a larger T and max |z|. The deviation in the table is a fact from the history, not a determination of its cause.

Interactive tools

Explore the same data actively. The tools describe history and the random model; they do not predict the next result.

My selection — check its properties against history

This describes the entered selection and its position in the historical sample. It does not increase its chance.

Open the full selection analyzer →

History player — move through past draws

Choose a year, use the slider or start automatic playback. This is a presentation of recorded results, not a forecast.

Year

Open the module to load the available years.

Random-model simulator — see ordinary random variation

Generate independent draws with the rules of this game and compare observed counts with the common expected value. Every run is different.

Number of simulated draws

What do these numbers show?

Years in the table: 16, 9,448 draws in total.
The largest deviation of a single number falls in 2026: max |z| = 3,332 at N = 548 draws (number 9).
Years with a small sample or with no draws are marked in the last column of the table; their descriptive measures stay.

These are historical data. Each draw is independent of previous draws, so these numbers do not tell us what will be drawn next.

How do I use this page?

Pick the row of the year you are interested in.
Compare the T and max |z| measures with the number of draws N in the same row — a small N produces wider swings.
Click a column header to sort the table; a second click reverses the order.

What this page does not do: it does not identify the cause of deviations and does not predict future results.

How to read statistical measures

Random model

The random model assumes every number has the same chance of being drawn each time. We compare results against this model to see whether the history departs from it — not to predict the next draw.

Expected value

The expected value is the average result we'd see if the numbers were fully random, repeated a great many times. Real history almost always differs from it a little — that alone is nothing unusual.

Deviation

Deviation shows how far a value is from what the random model expects, measured in units of typical spread. A value close to zero matches the model; the further from zero, the bigger the difference — but with many numbers compared at once, a few larger deviations are ordinary spread, not a signal.

Percentile

The percentile shows what share of results (from the model or from history) fall below the value being checked. Percentile 80 means about 80% of results fall below it and 20% above — it describes a place in the distribution, not a forecast.

Typicality

Typicality describes how close a value sits to the centre of the model's or history's distribution — typical values happen often, extreme ones rarely. It's a descriptive comparison and says nothing about what the next draw will bring.

Years vs. model Kaskada

What would you like to check?

Numbers and gaps

Draw structure

Relationships and random model

Draws and tools

Deviations from the model across years

Methodology

Interactive tools

Related analyses

Yearly breakdown

Fit to the random model

Frequency test

My saved selections

Notifications after draws