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Draw sum Kaskada

Which sum comes up most often, and was the latest draw typical?

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
Number pool
24
Selected range
50 most recent
Draws in the sample
50
From
2026-09-07T12:00:00Z
To
2026-10-01T20:00:00Z
Latest draw in the sample
2026-10-01T20:00:00Z
Calculated at
2026-10-01T22:46:38+02:00
Source
Service draw archive
Freshness
Checking…

Sum of numbers in a draw

Sum of all 12 drawn numbers. The random model gives an exact distribution of this sum for Kaskada — calculated from all possible combinations, not from a simulation.

Average sum in the range (N = 50)

147.0

model: 150

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.
, model deviation 17.321
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.

Sum of the last draw

136

historical percentile: 22% · model: 20.5%

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 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.

Range of possible sums in this game

78–222

in the range, sums from 110 to 189

Histogram of sums in the range

Horizontal axis: draw sum. Vertical axis: number of hits, i.e. how many times this sum occurred in 50 draws.

4 0 hits draw sum sum 110 — 1 hits out of 50 draws 110 sum 113 — 2 hits out of 50 draws sum 121 — 1 hits out of 50 draws sum 122 — 1 hits out of 50 draws 122 sum 125 — 2 hits out of 50 draws sum 127 — 1 hits out of 50 draws sum 131 — 1 hits out of 50 draws 131 sum 132 — 1 hits out of 50 draws sum 135 — 1 hits out of 50 draws sum 136 — 3 hits out of 50 draws 136 sum 138 — 2 hits out of 50 draws sum 140 — 1 hits out of 50 draws sum 141 — 2 hits out of 50 draws 141 sum 142 — 2 hits out of 50 draws sum 145 — 2 hits out of 50 draws sum 146 — 1 hits out of 50 draws 146 sum 147 — 4 hits out of 50 draws sum 148 — 2 hits out of 50 draws sum 149 — 2 hits out of 50 draws 149 sum 151 — 1 hits out of 50 draws sum 152 — 1 hits out of 50 draws sum 153 — 1 hits out of 50 draws 153 sum 154 — 1 hits out of 50 draws sum 155 — 1 hits out of 50 draws sum 158 — 2 hits out of 50 draws 158 sum 163 — 2 hits out of 50 draws sum 165 — 2 hits out of 50 draws sum 169 — 1 hits out of 50 draws 169 sum 172 — 1 hits out of 50 draws sum 175 — 1 hits out of 50 draws sum 178 — 1 hits out of 50 draws 178 sum 182 — 1 hits out of 50 draws sum 188 — 1 hits out of 50 draws sum 189 — 1 hits out of 50 draws 189 Model: expected count Latest result: 136

Bars in the game colour: observed history; solid line: random model; dashed vertical marker: latest result.

Most frequent sums in the range

Observed = how many times the sum occurred in N draws. Expected = N × probability of this sum in the model.

sumobserved% of drawsexpected
147 4 8.0% 1.1
136 3 6.0% 0.8
113 2 4.0% 0.1
125 2 4.0% 0.4
138 2 4.0% 0.9
141 2 4.0% 1.0
142 2 4.0% 1.0
145 2 4.0% 1.1
148 2 4.0% 1.1
149 2 4.0% 1.1

Distribution of sums by interval

History next to the model, in intervals of twelve sum points each. The table shows the number of draws and the model share in each interval.

intervalobserved% history% model
110–121 4 8.0% 4.2%
122–133 6 12.0% 12.3%
134–145 13 26.0% 22.6%
146–157 14 28.0% 26.5%
158–169 7 14.0% 20.2%
170–181 3 6.0% 9.9%
182–189 3 6.0% 2.4%

Does the sum depend on previous draws

Autocorrelation of sums for lags of 1–3 draws, calculated in the range (50 draws). A value outside ±0.2772 would be unusual for a sequence of independent draws.

lagcorrelation
1 draw0.0546
2 draws0.0181
3 draws-0.1221

The coefficients describe the relationship between sums separated by 1–3 draws. No detected dependence does not prove independence.

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.

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.

What do these numbers show?
  • The average sum across 50 draws is 147.0, while the model gives 150 — a difference of 3.0, with a model standard deviation of 17.321.
  • The last sum, 136, is at percentile 20.5 of the model: this percentage of possible combinations has a smaller sum.

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?
  1. Choose the number of recent draws or a range of years.
  2. Compare the historical average sum with the model average.
  3. Use the tables to check how often each sum occurred.
  4. The percentile tells you what percentage of sums is smaller than the specified value.

What this page does not do: does not predict future results or increase the chance of winning.

Related analyses

← All statistics Kaskada

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My saved selections

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Open the My saved selections hub

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