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Draw sum Kaskada

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

Draws in the sample
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Data calculated
2026-09-16T14:10:36+02:00
What do these numbers show?
  • The average sum across 50 draws is 149.0, while the model gives 150 — a difference of 1.0, with a model standard deviation of 17.321.
  • The last sum, 127, is at percentile 8.9 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.

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)

149.0

model: 150, model deviation 17.321

Sum of the last draw

127

historical percentile: 12% · model: 8.9%

Range of possible sums in this game

78–222

in the range, sums from 121 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.

3 0 hits draw sum sum 121 — 1 hits out of 50 draws 121 sum 123 — 1 hits out of 50 draws sum 125 — 2 hits out of 50 draws sum 126 — 2 hits out of 50 draws sum 127 — 1 hits out of 50 draws 127 sum 128 — 1 hits out of 50 draws sum 130 — 1 hits out of 50 draws sum 131 — 1 hits out of 50 draws sum 135 — 3 hits out of 50 draws 135 sum 136 — 1 hits out of 50 draws sum 137 — 1 hits out of 50 draws sum 138 — 1 hits out of 50 draws sum 139 — 1 hits out of 50 draws 139 sum 140 — 1 hits out of 50 draws sum 141 — 1 hits out of 50 draws sum 142 — 2 hits out of 50 draws sum 144 — 1 hits out of 50 draws 144 sum 145 — 1 hits out of 50 draws sum 146 — 1 hits out of 50 draws sum 147 — 2 hits out of 50 draws sum 148 — 1 hits out of 50 draws 148 sum 149 — 2 hits out of 50 draws sum 150 — 1 hits out of 50 draws sum 153 — 1 hits out of 50 draws sum 154 — 1 hits out of 50 draws 154 sum 156 — 1 hits out of 50 draws sum 157 — 2 hits out of 50 draws sum 159 — 2 hits out of 50 draws sum 162 — 2 hits out of 50 draws 162 sum 163 — 2 hits out of 50 draws sum 164 — 1 hits out of 50 draws sum 170 — 1 hits out of 50 draws sum 171 — 1 hits out of 50 draws 171 sum 172 — 1 hits out of 50 draws sum 175 — 1 hits out of 50 draws sum 182 — 1 hits out of 50 draws sum 186 — 1 hits out of 50 draws 186 sum 189 — 2 hits out of 50 draws

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
135 3 6.0% 0.8
125 2 4.0% 0.4
126 2 4.0% 0.5
142 2 4.0% 1.0
147 2 4.0% 1.1
149 2 4.0% 1.1
157 2 4.0% 1.0
159 2 4.0% 1.0
162 2 4.0% 0.9
163 2 4.0% 0.9

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

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 draw-0.0065
2 draws-0.0408
3 draws-0.07

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

Related analyses

Range

How far apart were the smallest and largest numbers?

Even and odd

Which even/odd splits have occurred and how often should they?

Sum autocorrelation

Does a draw's sum depend on the sums of previous draws?

← All statistics Kaskada

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