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Most popular winning numbers picked in the last 104 draws

Most  popular ticket in the last 104 draws: 06 07 10 11 24 29 (51 wins to date totalling £858)
Least popular ticket in the last 104 draws: 43 50 52 53 58 59 (9 wins to date totalling £250)
Pos  No.     Wins          Sales       Percentage
 1   10      667,218      888,149,990   0.07512%
 2   29    1,036,250    1,482,118,370   0.06992%
 3   06      649,549      960,239,690   0.06764%
 4   11      945,537    1,410,717,880   0.06703%
 5   24      539,850      811,004,960   0.06657%
 6   07      826,056    1,245,741,710   0.06631%
 7   03      882,442    1,332,172,060   0.06624%
 8   19      992,400    1,506,713,860   0.06587%
 9   17      722,215    1,104,522,730   0.06539%
10   08      469,603      718,954,640   0.06532%
11   12      731,427    1,131,875,850   0.06462%
12   23      335,211      519,711,380   0.06450%
13   09      754,469    1,177,136,310   0.06409%
14   25      776,164    1,225,491,970   0.06333%
15   35      711,761    1,137,479,070   0.06257%
16   20      727,270    1,169,804,030   0.06217%
17   14      604,337      974,397,790   0.06202%
18   28      570,280      920,180,640   0.06197%
19   26      456,327      740,185,040   0.06165%
20   31      521,326      850,488,400   0.06130%
21   01      370,501      605,299,230   0.06121%
22   13      688,114    1,141,468,090   0.06028%
23   05      326,832      545,832,630   0.05988%
24   21      430,656      721,763,030   0.05967%
25   39      594,104    1,003,040,390   0.05923%
26   44      580,080      984,679,120   0.05891%
27   45      664,580    1,135,670,120   0.05852%
28   27      583,528      998,494,030   0.05844%
29   41      716,750    1,227,599,490   0.05839%
30   46      202,807      348,699,740   0.05816%
31   15      493,856      857,351,280   0.05760%
32   02      606,359    1,054,783,440   0.05749%
33   22      636,538    1,110,658,950   0.05731%
34   33      587,056    1,032,837,700   0.05684%
35   47      404,562      725,957,310   0.05573%
36   16      703,250    1,273,232,340   0.05523%
37   04      470,925      858,941,830   0.05483%
38   48      624,721    1,142,532,790   0.05468%
39   42      451,202      825,496,670   0.05466%
40   49      533,088      978,946,890   0.05446%
41   30      204,907      380,048,520   0.05392%
42   32      369,465      690,392,990   0.05352%
43   56      374,354      703,109,850   0.05324%
44   34      534,352    1,013,294,280   0.05273%
45   51      379,640      720,816,150   0.05267%
46   54      603,827    1,163,512,250   0.05190%
47   57      305,575      592,346,670   0.05159%
48   18      523,772    1,016,372,960   0.05153%
49   38      596,912    1,158,521,950   0.05152%
50   55      227,535      444,827,840   0.05115%
51   37      444,016      878,589,030   0.05054%
52   36      353,787      702,540,850   0.05036%
53   40      397,066      793,284,630   0.05005%
54   59      465,735      938,564,450   0.04962%
55   50      561,446    1,136,103,010   0.04942%
56   43      528,840    1,078,307,820   0.04904%
57   52      373,128      763,117,260   0.04890%
58   53      405,747      837,982,840   0.04842%
59   58      487,164    1,022,878,190   0.04763%
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]

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Auto-generated at 1.01am GMT on Saturday 18th January 2025