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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
2026-02-01T21:00:00Z
To
2026-10-09T12:00:00Z
Latest draw in the sample
2026-10-09T12:00:00Z
Calculated at
2026-10-09T20:56:44+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
1 123 125 114 138 125 127 124 108 116 140 110 129 132 114 117 126 119 126 116 128 141 117 123
2 113 117 127 119 123 124 90 119 117 108 138 125 107 122 133 116 125 118 120 130 135 134
3 124 128 120 120 118 116 126 134 102 123 132 107 119 127 107 129 123 130 137 123 133
4 130 117 116 116 100 109 125 107 133 132 113 110 111 111 121 115 118 129 126 112
5 138 126 126 104 128 131 107 129 131 119 122 130 126 136 118 138 139 130 136
6 129 107 105 106 124 96 122 119 107 110 119 109 112 127 127 130 127 122
7 119 100 124 138 115 133 126 114 115 123 118 134 115 119 133 125 135
8 92 104 121 100 124 111 106 122 126 111 122 107 116 128 116 122
9 93 107 90 107 101 92 100 104 91 113 104 110 110 102 104
10 115 102 110 126 110 117 122 105 109 103 106 120 115 122
11 105 129 129 114 116 138 113 140 118 133 140 132 145
12 105 107 96 96 112 108 106 98 113 117 110 110
13 134 116 117 123 124 124 126 135 148 139 125
14 124 116 139 112 126 118 119 143 136 133
15 100 118 106 116 103 106 113 125 104
16 117 107 122 118 116 121 124 127
17 120 136 109 120 130 120 135
18 115 109 130 118 104 117
19 109 127 126 136 139
20 122 128 129 129
21 132 118 122
22 132 136
23 139
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 148 119.6 +2.6
1124 145 119.6 +2.3
1422 143 119.6 +2.1
122 141 119.6 +2.0
111 140 119.6 +1.9
1119 140 119.6 +1.9
1122 140 119.6 +1.9
522 139 119.6 +1.8
1323 139 119.6 +1.8
1417 139 119.6 +1.8
1924 139 119.6 +1.8
2324 139 119.6 +1.8
15 138 119.6 +1.7
213 138 119.6 +1.7
56 138 119.6 +1.7
521 138 119.6 +1.7
711 138 119.6 +1.7
1117 138 119.6 +1.7
322 137 119.6 +1.6
519 136 119.6 +1.5

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 90 119.6 -2.7
912 90 119.6 -2.7
918 91 119.6 -2.6
89 92 119.6 -2.5
915 92 119.6 -2.5
910 93 119.6 -2.4
612 96 119.6 -2.2
1215 96 119.6 -2.2
1216 96 119.6 -2.2
1220 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: 148 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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