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Most popular winning numbers picked in the last 2313 draws

Most  popular ticket in the last 2313 draws: 03 05 07 09 11 27 (50 wins to date totalling £666)
Least popular ticket in the last 2313 draws: 51 54 55 56 57 59 (4 wins to date totalling £100)
Pos  No.     Wins          Sales       Percentage
 1   07   87,988,805   44,003,218,980   0.19996%
 2   09   89,327,794   45,791,793,725   0.19507%
 3   05   81,190,565   42,104,287,285   0.19283%
 4   03   81,735,528   42,986,078,725   0.19014%
 5   11   88,033,037   46,601,097,335   0.18891%
 6   27   85,070,038   45,988,328,040   0.18498%
 7   12   80,885,491   43,786,516,135   0.18473%
 8   44   92,329,486   50,084,173,645   0.18435%
 9   13   67,126,870   36,596,335,810   0.18343%
10   17   81,816,046   44,662,924,265   0.18319%
11   06   79,035,596   43,222,070,235   0.18286%
12   23   89,626,133   49,225,109,595   0.18207%
13   04   78,090,910   42,983,487,605   0.18168%
14   19   76,409,140   42,115,549,385   0.18143%
15   08   75,200,705   41,624,249,510   0.18067%
16   18   80,223,194   44,443,094,835   0.18051%
17   10   78,838,662   43,832,232,970   0.17986%
18   28   80,518,650   45,076,779,230   0.17863%
19   02   78,408,030   44,007,265,725   0.17817%
20   24   77,952,908   44,247,408,120   0.17618%
21   14   78,028,069   44,298,729,125   0.17614%
22   22   74,959,293   42,599,084,190   0.17596%
23   15   74,291,831   42,300,799,640   0.17563%
24   29   76,037,527   43,407,101,650   0.17517%
25   25   85,150,811   48,670,215,845   0.17495%
26   33   79,334,752   45,681,214,270   0.17367%
27   21   67,226,668   38,759,199,510   0.17345%
28   16   68,294,891   39,615,219,375   0.17240%
29   42   76,935,802   44,829,528,850   0.17162%
30   32   76,122,106   44,436,946,790   0.17130%
31   30   82,939,766   48,611,926,665   0.17062%
32   01   72,222,353   42,503,121,945   0.16992%
33   38   81,625,842   48,302,148,755   0.16899%
34   48   77,365,180   45,895,367,855   0.16857%
35   26   73,419,859   43,617,694,975   0.16833%
36   43   80,221,954   47,757,981,345   0.16798%
37   31   81,374,937   48,454,940,475   0.16794%
38   45   71,543,389   43,236,300,575   0.16547%
39   20   60,481,745   37,068,937,985   0.16316%
40   47   77,061,659   47,350,254,070   0.16275%
41   39   71,518,276   44,010,827,585   0.16250%
42   40   80,727,476   49,788,649,065   0.16214%
43   36   66,600,257   41,111,855,620   0.16200%
44   37   66,444,136   41,045,727,850   0.16188%
45   34   69,618,826   43,415,294,035   0.16036%
46   49   70,518,625   44,602,990,535   0.15810%
47   35   71,516,545   45,290,713,130   0.15791%
48   41   61,981,068   40,212,043,860   0.15414%
49   46   65,465,398   42,650,088,405   0.15349%
50   58    1,833,472    3,934,118,350   0.04660%
51   50    1,148,737    2,479,716,680   0.04633%
52   53    1,055,246    2,284,715,380   0.04619%
53   52    1,621,658    3,528,410,560   0.04596%
54   54    1,878,871    4,150,572,190   0.04527%
55   51    1,230,525    2,753,429,690   0.04469%
56   57    1,152,919    2,608,580,240   0.04420%
57   56    1,322,852    2,994,315,930   0.04418%
58   55    1,301,428    2,995,332,800   0.04345%
59   59    1,212,340    2,906,869,810   0.04171%
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 2313 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 GMT on Saturday 24th February 2018