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Most popular winning numbers picked in the last 104 draws

Most  popular ticket in the last 104 draws: 03 04 05 07 11 12 (49 wins to date totalling £907)
Least popular ticket in the last 104 draws: 39 50 51 54 55 56 (15 wins to date totalling £410)
Pos  No.     Wins          Sales       Percentage
 1   07      800,665    1,091,346,570   0.07336%
 2   12      841,738    1,160,001,930   0.07256%
 3   05      781,457    1,097,367,520   0.07121%
 4   11      726,556    1,031,009,100   0.07047%
 5   03      630,250      909,067,680   0.06933%
 6   04      674,899    1,004,645,460   0.06718%
 7   35      570,251      853,484,730   0.06681%
 8   01      566,417      851,168,230   0.06655%
 9   29      437,674      658,450,720   0.06647%
10   18      782,622    1,183,469,870   0.06613%
11   06      800,037    1,217,173,390   0.06573%
12   08      381,774      581,583,960   0.06564%
13   17      592,338      910,598,560   0.06505%
14   21      271,977      422,777,580   0.06433%
15   25      509,370      800,596,110   0.06362%
16   16      621,835      977,915,660   0.06359%
17   48      596,986      939,298,270   0.06356%
18   15      776,969    1,236,178,790   0.06285%
19   09    1,112,588    1,797,076,500   0.06191%
20   32      459,233      742,149,070   0.06188%
21   23      465,801      753,997,600   0.06178%
22   14      431,004      705,388,090   0.06110%
23   37      508,546      836,034,730   0.06083%
24   26      282,489      466,730,340   0.06053%
25   40      780,709    1,299,755,930   0.06007%
26   10      814,477    1,358,987,170   0.05993%
27   30      546,332      916,542,700   0.05961%
28   42      701,805    1,183,277,730   0.05931%
29   38      664,092    1,123,504,130   0.05911%
30   41      252,526      428,207,500   0.05897%
31   44      340,208      579,562,710   0.05870%
32   28      453,245      786,129,980   0.05766%
33   33      544,588      949,116,610   0.05738%
34   19      315,521      550,914,860   0.05727%
35   49      492,158      891,963,890   0.05518%
36   13      407,118      739,761,240   0.05503%
37   27      563,096    1,024,513,380   0.05496%
38   24      511,718      932,483,050   0.05488%
39   22      535,628      976,937,900   0.05483%
40   31      523,264      954,526,960   0.05482%
41   02      479,711      884,568,690   0.05423%
42   53      443,624      823,969,410   0.05384%
43   46      422,045      784,327,370   0.05381%
44   45      478,420      892,869,730   0.05358%
45   47      622,109    1,164,627,980   0.05342%
46   43      498,932      952,774,470   0.05237%
47   52      394,004      770,573,130   0.05113%
48   34      424,779      839,200,050   0.05062%
49   20      502,101    1,010,241,880   0.04970%
50   57      441,096      894,155,620   0.04933%
51   36      560,268    1,157,924,530   0.04839%
52   58      377,762      787,500,160   0.04797%
53   59      613,029    1,307,708,470   0.04688%
54   39      336,221      720,285,240   0.04668%
55   55      257,323      555,017,970   0.04636%
56   54      549,768    1,199,536,730   0.04583%
57   51      492,242    1,082,768,590   0.04546%
58   56      384,589      872,275,280   0.04409%
59   50      305,955      713,149,340   0.04290%
Notes:

How the figures are calculated

This is where I risk boring the pants off all of you with some fancy maths which is actually all smoke and mirrors since no-one except Camelot really knows the exact figures.

Firstly, I needed to work out how many winning tickets used a particular number (let's say using the number 1 as an example) in each prize tier for a single draw. Camelot don't release the figures for this, so for a particular prize tier, it has to be estimated thus:

Winning tickets using the number 1 in a prize tier = ( Number of combinations in that tier that use the number 1 / Total combinations in that tier ) * Number of actual prize winners in that tier [yes, this last figure is indeed released by Camelot]

This assumes an even distribution of combinations of course, which isn't the case in real life, but it's the best we can do. I then wrote a combinations program that generated all 14m tickets and calculated the first two figures in the RHS of the above equation for each tier (we know the third figure from Camelot as I said) by assuming that the 6 numbers drawn were 1 to 6 and we were looking at winning tickets using the number 1. This resulted in the following table:

Tier       Uses 1     Combs     Ratio
6-match         1           1   1.000
5+bonus         5           6   0.833
5-match       210         252   0.833
4-match     9,030      13,545   0.667
3-match   123,410     246,820   0.500
2-match   617,050   1,851,150   0.333
1-match   962,598   5,775,588   0.167
0-match         0   6,095,454   0.000

After this, it was simply a question of using the above table for each draw, multiplying the ratio by number of winners in the tier for a particular draw and then doing this for all 104 draws to get a total for a particular number. I then totalled the sales for every draw where a particular number appeared, divided the figure from the previous sentence by that total and then sorted on the percentage figure as shown in the main table on this page. You can wake up now...

[Numerical Analysis]

© Richard K. Lloyd & Connect Internet Solutions Limited 2026
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Auto-generated at 8.51pm BST on Wednesday 10th June 2026