Skip to content
⌕ Search this site

Range Lotto

How far apart were the smallest and largest numbers?

Draws in the sample
Data calculated
2026-09-16T12:31:06+02:00
What do these numbers show?
  • The average spread across 50 draws was 35.5. The random model has an average of 35.7 — a difference of 0.2. This is a descriptive comparison, not a test result.
  • The median spread in the range is 37: at least half of the 50 draws had a spread no greater than this value (source: history).

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 a number of recent draws or a range of years.
  2. Compare the historical average spread with the model average.
  3. Use the interval table to see how often the spread fell within each interval.
  4. The “% model” column shows the share of all possible combinations that have that spread.

What this page does not do: does not suggest numbers to play or predict the spread of the next draw.

Spread of numbers in a draw

Spread is the difference between the largest and smallest of the 6 drawn numbers. In Lotto it can take values from 5 to 48. The random model gives its exact distribution — calculated from all possible combinations, not from a simulation.

Spread histogram for the range

Horizontal axis: spread. Vertical axis: hits, i.e. the number of draws with that spread. Number of draws in the range: 50. The chart shows only values present in the data — missing spreads are not added.

Spread histogram — X axis spread, Y axis hits, N = 50 4 0 spread hits Spread 20: 1 hits out of 50 draws 20 Spread 22: 1 hits out of 50 draws Spread 23: 1 hits out of 50 draws Spread 25: 1 hits out of 50 draws Spread 26: 2 hits out of 50 draws Spread 27: 1 hits out of 50 draws 27 Spread 28: 1 hits out of 50 draws Spread 29: 2 hits out of 50 draws Spread 30: 1 hits out of 50 draws Spread 31: 3 hits out of 50 draws Spread 32: 2 hits out of 50 draws 32 Spread 33: 3 hits out of 50 draws Spread 34: 2 hits out of 50 draws Spread 35: 1 hits out of 50 draws Spread 36: 2 hits out of 50 draws Spread 37: 3 hits out of 50 draws 37 Spread 38: 4 hits out of 50 draws Spread 39: 3 hits out of 50 draws Spread 40: 2 hits out of 50 draws Spread 41: 3 hits out of 50 draws Spread 42: 4 hits out of 50 draws 42 Spread 43: 2 hits out of 50 draws Spread 44: 3 hits out of 50 draws Spread 45: 1 hits out of 50 draws Spread 46: 1 hits out of 50 draws 46

Average spread in the range

35.5

Number of draws: 50. Smallest and largest spread in the range: 2046

Median spread in the range

37

at least half of the draws had a spread no greater than this value (source: history)

Model spread (average of the distribution)

35.7

source: random model, all 6-out-of-49 number combinations equally likely; a dash marks an incomplete distribution

Most frequent spreads in the range

Observed = how many times that spread occurred in draws from the range. % model = the share of combinations with that spread among all possible ones; a dash = model value unavailable.

spreadobserved% of draws% model
38 4 8.0% 5.2%
42 4 8.0% 5.1%
31 3 6.0% 3.5%
33 3 6.0% 4.1%
37 3 6.0% 5.1%
39 3 6.0% 5.3%
41 3 6.0% 5.2%
44 3 6.0% 4.4%
26 2 4.0% 2.1%
29 2 4.0% 2.9%

Spread distribution in ranges

History next to the model, in ranges of five spread values, from 5 to 48. A range with a missing model value has a dash in the model column.

rangeobserved% history% model
5–9 0 0.0% 0.0%
10–14 0 0.0% 0.5%
15–19 0 0.0% 2.2%
20–24 3 6.0% 5.9%
25–29 7 14.0% 11.8%
30–34 11 22.0% 19.1%
35–39 13 26.0% 25.0%
40–44 14 28.0% 24.8%
45–48 2 4.0% 10.7%

Methodology

The model assumes that every combination of 6 numbers out of 49 is equally likely. A combination with spread d has a fixed smallest and largest number d apart, with the remaining numbers lying between them — so the number of such combinations is (pool − d) · C(d − 1, picks − 2), and the probability of spread d is that product divided by C(pool, picks). History is calculated from raw draw counts in the selected range; a range of years sums the yearly counts. When the model distribution is incomplete, the page shows the history without a comparison and puts a dash — not a zero — in place of the model value. The difference between averages is a description, not a statistical test — the page does not assess its significance. The histogram shows the data rendered when the page loaded; after changing the range, the current figures are in the tables.

Related analyses

← All statistics Lotto

Offline app and draw notifications