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Most popular winning numbers picked in the last 104 draws

Most  popular ticket in the last 104 draws: 05 09 10 16 19 27 (48 wins to date totalling £678)
Least popular ticket in the last 104 draws: 50 51 52 54 56 58 (4 wins to date totalling £100)
Pos  No.     Wins          Sales       Percentage
 1   10      664,607      969,340,210   0.06856%
 2   27      406,230      612,711,070   0.06630%
 3   05      483,299      749,547,540   0.06448%
 4   16      331,285      518,826,190   0.06385%
 5   19      755,539    1,183,752,480   0.06383%
 6   09      655,967    1,031,094,470   0.06362%
 7   08      790,330    1,259,063,010   0.06277%
 8   26      456,321      737,634,460   0.06186%
 9   28      293,249      478,711,720   0.06126%
10   31      534,103      890,266,150   0.05999%
11   01      634,533    1,060,106,520   0.05986%
12   06      525,482      886,231,110   0.05929%
13   02      639,314    1,086,238,480   0.05886%
14   13      511,976      879,559,410   0.05821%
15   11      609,053    1,049,835,450   0.05801%
16   12      436,282      753,798,160   0.05788%
17   25      666,153    1,162,755,150   0.05729%
18   15      725,007    1,276,127,660   0.05681%
19   18      717,770    1,271,643,090   0.05644%
20   38      589,735    1,056,730,810   0.05581%
21   29      737,035    1,326,838,320   0.05555%
22   07      428,397      775,249,520   0.05526%
23   40      464,932      844,076,000   0.05508%
24   23      277,227      504,516,330   0.05495%
25   46      793,857    1,451,629,280   0.05469%
26   20      884,567    1,629,391,600   0.05429%
27   24      197,220      365,141,700   0.05401%
28   35      593,817    1,099,426,790   0.05401%
29   39      279,525      519,917,460   0.05376%
30   30      548,213    1,021,521,850   0.05367%
31   14      312,221      586,162,130   0.05327%
32   57      277,945      522,618,310   0.05318%
33   45      596,262    1,122,514,170   0.05312%
34   03      641,781    1,209,850,940   0.05305%
35   21      395,700      746,147,370   0.05303%
36   04      522,794      987,972,640   0.05292%
37   17      389,713      737,317,030   0.05286%
38   44      530,124    1,003,300,020   0.05284%
39   37      572,176    1,086,024,170   0.05269%
40   49      478,720      913,284,410   0.05242%
41   36      623,580    1,204,229,880   0.05178%
42   41      496,110      964,169,650   0.05145%
43   34      423,748      827,309,730   0.05122%
44   43      500,282      984,112,360   0.05084%
45   22      618,201    1,252,170,480   0.04937%
46   47      462,047      950,590,160   0.04861%
47   32      620,421    1,278,139,470   0.04854%
48   33      503,775    1,042,790,770   0.04831%
49   53      349,594      735,025,990   0.04756%
50   59      405,215      859,226,710   0.04716%
51   48      537,103    1,146,314,790   0.04685%
52   55      724,336    1,546,431,480   0.04684%
53   42      426,769      935,632,640   0.04561%
54   50      329,789      725,716,900   0.04544%
55   51      382,147      844,826,300   0.04523%
56   58      698,529    1,599,363,720   0.04368%
57   52      378,395      899,613,900   0.04206%
58   56      455,912    1,092,365,610   0.04174%
59   54      491,872    1,193,784,560   0.04120%
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 2018
Disclaimer - This is an unofficial UK lottery site
Auto-generated at 1.01am BST on Tuesday 25th September 2018