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Most popular winning numbers picked in the last 2331 draws

Most  popular ticket in the last 2331 draws: 03 05 07 09 11 27 (50 wins to date totalling £666)
Least popular ticket in the last 2331 draws: 51 54 55 56 57 59 (5 wins to date totalling £125)
Pos  No.     Wins          Sales       Percentage
 1   07   88,182,433   44,346,083,400   0.19885%
 2   09   89,505,371   46,028,610,845   0.19446%
 3   05   81,224,159   42,190,228,435   0.19252%
 4   03   81,847,825   43,208,710,965   0.18942%
 5   11   88,179,123   46,886,651,305   0.18807%
 6   27   85,120,120   46,052,990,270   0.18483%
 7   12   80,969,118   43,893,878,575   0.18447%
 8   44   92,352,189   50,150,604,735   0.18415%
 9   17   81,816,046   44,662,924,265   0.18319%
10   13   67,206,366   36,705,843,220   0.18309%
11   06   79,139,982   43,396,016,505   0.18237%
12   23   89,626,133   49,225,109,595   0.18207%
13   04   78,169,689   43,157,317,665   0.18113%
14   19   76,493,395   42,284,059,855   0.18090%
15   18   80,256,788   44,529,035,985   0.18023%
16   08   75,465,895   42,019,214,640   0.17960%
17   10   78,966,590   44,068,063,470   0.17919%
18   28   80,518,650   45,076,779,230   0.17863%
19   02   78,597,811   44,354,396,905   0.17720%
20   24   78,032,404   44,356,915,530   0.17592%
21   14   78,061,664   44,384,670,275   0.17588%
22   22   74,988,467   42,664,420,400   0.17576%
23   15   74,420,103   42,534,139,560   0.17497%
24   29   76,090,439   43,514,461,920   0.17486%
25   25   85,170,263   48,730,759,625   0.17478%
26   33   79,430,488   45,857,915,670   0.17321%
27   21   67,279,245   38,881,534,180   0.17304%
28   16   68,355,893   39,726,832,005   0.17206%
29   32   76,141,557   44,497,490,570   0.17111%
30   42   77,088,681   45,153,740,790   0.17072%
31   30   82,989,849   48,676,588,895   0.17049%
32   01   72,311,873   42,679,953,565   0.16943%
33   38   81,701,051   48,428,091,405   0.16871%
34   48   77,465,809   46,113,350,365   0.16799%
35   26   73,536,618   43,795,246,495   0.16791%
36   31   81,420,590   48,566,979,645   0.16765%
37   43   80,326,824   47,934,386,425   0.16758%
38   45   71,704,311   43,471,620,415   0.16495%
39   39   71,551,402   44,072,618,475   0.16235%
40   47   77,141,674   47,517,236,330   0.16234%
41   20   60,691,176   37,396,419,765   0.16229%
42   37   66,473,310   41,111,064,060   0.16169%
43   40   80,861,699   50,092,572,725   0.16142%
44   36   66,785,446   41,447,246,930   0.16113%
45   34   69,618,826   43,415,294,035   0.16036%
46   49   70,518,625   44,602,990,535   0.15810%
47   35   71,664,097   45,582,053,740   0.15722%
48   41   62,047,788   40,359,775,900   0.15374%
49   46   65,593,567   42,865,427,875   0.15302%
50   58    1,833,472    3,934,118,350   0.04660%
51   53    1,137,884    2,456,885,190   0.04631%
52   50    1,235,243    2,673,018,100   0.04621%
53   52    1,718,257    3,762,180,710   0.04567%
54   57    1,265,721    2,781,278,890   0.04551%
55   54    1,933,067    4,278,190,480   0.04518%
56   51    1,253,227    2,819,860,780   0.04444%
57   56    1,342,304    3,054,859,710   0.04394%
58   55    1,450,915    3,351,289,720   0.04329%
59   59    1,377,215    3,251,836,720   0.04235%
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 2331 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 Thursday 26th April 2018