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Pairs Kaskada

Which pairs were drawn together most often — and how often would they be expected?

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
500 most recent
Draws in the sample
500
From
2026-01-25T13:00:00Z
To
2026-10-01T20:00:00Z
Latest draw in the sample
2026-10-01T20:00:00Z
Calculated at
2026-10-02T02:31:18+02:00
Source
Service draw archive
Freshness
Checking…

Number pairs in draws

A pair is two numbers drawn in the same draw. One draw of Kaskada produces 66 pairs, and the number of possible pairs in a pool of 24 numbers is 276. The random model gives every pair the same probability — 23.91% per draw, or about once every 4 draws .

Possible pairs in the pool

276

C(24, 2), regardless of range

Expected per pair in range (N = 500)

119,6

N × q2, source: model

Pairs with zero occurrences

0

model for this N: 0,0

Full pair matrix

Each cell represents one pair in the same N sample as the tables. Select a value to open that pair's details.

#123456789101112131415161718192021222324
1 119 123 113 134 123 125 120 105 115 135 113 128 129 113 119 125 119 124 112 128 139 119 125
2 114 117 128 120 122 128 89 120 116 111 139 127 108 123 135 116 126 121 120 132 139 135
3 124 127 118 117 118 115 123 132 104 125 133 107 120 129 106 129 125 131 138 125 133
4 128 115 115 112 97 109 122 106 133 130 113 111 109 111 122 115 117 128 126 111
5 137 124 128 101 125 127 109 129 130 116 120 132 122 134 118 136 141 133 136
6 127 107 104 103 121 97 123 117 107 109 121 109 110 126 127 128 126 120
7 116 100 126 136 116 134 126 113 116 123 118 134 114 119 134 127 134
8 92 103 116 103 126 110 104 120 127 108 123 107 116 127 118 122
9 93 106 90 105 100 91 103 103 89 112 104 110 112 106 105
10 116 102 109 125 110 119 124 103 111 102 106 123 117 123
11 106 128 128 114 116 138 112 139 117 131 136 133 146
12 105 108 98 98 114 110 107 101 113 117 113 112
13 133 114 117 122 124 123 127 133 150 140 126
14 121 116 141 109 126 118 116 143 139 135
15 100 115 104 119 104 105 112 125 106
16 120 106 125 119 117 121 127 131
17 119 138 111 117 132 125 140
18 115 106 129 118 104 117
19 112 125 126 139 141
20 121 128 133 132
21 133 120 124
22 136 138
23 145
24

Top 20 most frequent pairs in the range

Together = how many times both numbers were drawn in the same draw (history, N draws). Expected = N × q2, the same for every pair (model). Deviation = (together − expected) / √expected.

pairtogetherexpecteddeviation
1322 150 119,6 +2,8
1124 146 119,6 +2,4
2324 145 119,6 +2,3
1422 143 119,6 +2,1
522 141 119,6 +2,0
1417 141 119,6 +2,0
1924 141 119,6 +2,0
1323 140 119,6 +1,9
1724 140 119,6 +1,9
122 139 119,6 +1,8
213 139 119,6 +1,8
223 139 119,6 +1,8
1119 139 119,6 +1,8
1423 139 119,6 +1,8
1923 139 119,6 +1,8
322 138 119,6 +1,7
1117 138 119,6 +1,7
1719 138 119,6 +1,7
2224 138 119,6 +1,7
56 137 119,6 +1,6

10 rarest pairs in the range

Pairs with zero occurrences come first, in number order. A zero in a short window is expected — check the „Pairs with zero occurrences” card.

pairtogetherexpecteddeviation
29 89 119,6 -2,8
918 89 119,6 -2,8
912 90 119,6 -2,7
915 91 119,6 -2,6
89 92 119,6 -2,5
910 93 119,6 -2,4
49 97 119,6 -2,1
612 97 119,6 -2,1
1215 98 119,6 -2,0
1216 98 119,6 -2,0

With 276 pairs, about 6 exceed +2 under a perfectly random model (2.3%, the normal-distribution tail). A few large deviations are spread, not a signal.

How we calculate this

For every draw in the range we take all pairs of drawn numbers (excluding additional numbers) and count them in an „a-b” map. The probability that a specific pair is drawn in one draw is q2 = k(k−1) / (m(m−1)), where k is the number of numbers picked and m is the pool. The expected number of pair occurrences in N draws is N × q2 — the same for all pairs, since the random model does not favor any of them.

The deviation (together − N·q2) / √(N·q2) ranks pairs against the model, but it is not a test: pair counts from a single draw are not independent of each other, and with C(m,2) pairs, a dozen or so values above 2 is a normal spread. We do not publish p-values or significance flags here. For a year range we sum the raw counts from the annual records and N — nothing is lost, since pairs are simple counts.

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?
  • Numbers 13 and 22 appeared together most often: 150 times in 500 draws (observed), compared with 119.6 expected for each pair (model).
  • 0 of 276 possible pairs did not occur in this range; for N = 500, the random model expects about 0.0 such pairs.
  • With 276 pairs, about 6 exceed a deviation of +2 even under a perfectly random model. A single large deviation describes the past and predicts nothing.

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. Select a recent-draw window or a year range.
  2. Compare the together and expected columns; both use the same N draws.
  3. Read deviations in the context of all pairs in the pool; with more than a thousand pairs, several values above 2 are ordinary.
  4. Use the second table to see which pairs did not occur in the selected range.

What this page does not do: does not identify pairs to play or imply that numbers will follow one another in future draws.

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.

Related analyses

← All statistics Kaskada

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