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Most popular winning numbers picked in the last 2382 draws

Most  popular ticket in the last 2382 draws: 03 05 07 09 11 27 (51 wins to date totalling £714)
Least popular ticket in the last 2382 draws: 51 52 54 55 56 59 (9 wins to date totalling £225)
Pos  No.     Wins          Sales       Percentage
 1   07   88,277,002   44,532,872,420   0.19823%
 2   09   89,757,179   46,472,792,465   0.19314%
 3   05   81,638,568   42,783,972,215   0.19082%
 4   03   82,323,301   44,013,753,805   0.18704%
 5   11   88,494,598   47,353,653,435   0.18688%
 6   27   85,263,039   46,229,250,160   0.18444%
 7   12   81,199,276   44,335,165,215   0.18315%
 8   44   92,581,830   50,579,883,945   0.18304%
 9   13   67,477,808   37,161,259,490   0.18158%
10   06   79,309,617   43,691,552,865   0.18152%
11   17   82,138,504   45,313,648,075   0.18127%
12   23   89,861,370   49,642,891,515   0.18102%
13   04   78,427,014   43,631,323,955   0.17975%
14   19   76,884,036   42,932,914,505   0.17908%
15   08   75,804,846   42,543,419,060   0.17818%
16   28   80,603,056   45,245,520,160   0.17815%
17   18   80,687,545   45,306,310,445   0.17809%
18   10   79,293,792   44,552,734,490   0.17798%
19   02   78,732,409   44,582,323,015   0.17660%
20   24   78,032,404   44,356,915,530   0.17592%
21   14   78,222,762   44,667,966,335   0.17512%
22   29   76,269,536   43,837,482,400   0.17398%
23   22   75,327,006   43,343,336,420   0.17379%
24   15   74,773,046   43,108,753,740   0.17345%
25   25   85,780,282   49,686,826,735   0.17264%
26   33   79,633,797   46,217,412,550   0.17230%
27   21   67,480,206   39,252,979,550   0.17191%
28   16   68,505,242   39,954,052,005   0.17146%
29   42   77,210,717   45,462,295,990   0.16983%
30   32   76,463,756   45,115,212,120   0.16949%
31   30   83,228,521   49,107,894,995   0.16948%
32   01   72,776,229   43,395,772,175   0.16770%
33   38   82,033,448   49,009,387,005   0.16738%
34   31   81,654,365   48,925,090,505   0.16690%
35   43   80,531,326   48,292,486,175   0.16676%
36   48   77,750,928   46,710,179,105   0.16645%
37   26   73,908,399   44,461,622,485   0.16623%
38   45   72,014,736   43,982,073,535   0.16374%
39   47   77,307,522   47,780,305,040   0.16180%
40   39   71,816,094   44,542,999,915   0.16123%
41   20   61,028,674   37,979,559,705   0.16069%
42   37   66,801,688   41,649,475,570   0.16039%
43   40   81,191,299   50,730,579,315   0.16004%
44   36   66,976,757   41,855,758,320   0.16002%
45   34   70,000,806   44,155,995,015   0.15853%
46   49   70,675,191   44,956,542,405   0.15721%
47   35   71,810,801   45,839,300,980   0.15666%
48   41   62,307,614   40,869,438,250   0.15246%
49   46   65,992,290   43,627,228,415   0.15126%
50   53    1,234,064    2,702,391,810   0.04567%
51   50    1,319,872    2,901,147,520   0.04549%
52   57    1,287,132    2,845,338,430   0.04524%
53   58    2,150,724    4,755,890,320   0.04522%
54   52    1,979,209    4,381,573,250   0.04517%
55   55    1,806,033    4,016,912,370   0.04496%
56   54    2,216,857    4,985,117,220   0.04447%
57   51    1,441,677    3,250,468,680   0.04435%
58   56    1,611,644    3,708,360,610   0.04346%
59   59    1,536,828    3,603,846,730   0.04264%
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 2382 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 1.02am BST on Monday 22nd October 2018