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Most popular winning numbers picked in the last 2416 draws

Most  popular ticket in the last 2416 draws: 03 05 07 09 11 27 (51 wins to date totalling £714)
Least popular ticket in the last 2416 draws: 51 54 55 56 57 59 (5 wins to date totalling £125)
Pos  No.     Wins          Sales       Percentage
 1   07   88,445,417   44,787,252,600   0.19748%
 2   09   90,076,776   46,896,983,265   0.19207%
 3   05   82,036,681   43,293,656,055   0.18949%
 4   03   82,417,994   44,222,885,165   0.18637%
 5   11   88,662,216   47,660,117,345   0.18603%
 6   27   85,494,618   46,643,129,880   0.18330%
 7   44   92,735,921   50,824,787,165   0.18246%
 8   12   81,570,544   44,780,663,355   0.18216%
 9   13   67,568,834   37,333,731,300   0.18099%
10   23   89,967,462   49,822,920,835   0.18057%
11   06   79,535,711   44,076,279,635   0.18045%
12   17   82,540,042   45,842,682,095   0.18005%
13   19   76,884,036   42,932,914,505   0.17908%
14   04   78,753,148   44,064,482,455   0.17872%
15   10   79,329,635   44,622,186,330   0.17778%
16   28   80,726,716   45,428,811,840   0.17770%
17   08   76,004,485   42,799,625,450   0.17758%
18   18   80,824,305   45,536,631,705   0.17749%
19   02   78,732,409   44,582,323,015   0.17660%
20   24   78,254,635   44,729,820,490   0.17495%
21   14   78,301,103   44,795,566,545   0.17480%
22   29   76,364,449   44,065,561,610   0.17330%
23   22   75,498,722   43,672,832,730   0.17287%
24   15   75,048,462   43,570,620,130   0.17225%
25   33   79,663,341   46,282,983,130   0.17212%
26   21   67,480,206   39,252,979,550   0.17191%
27   25   85,999,658   50,037,268,135   0.17187%
28   16   68,585,688   40,131,781,465   0.17090%
29   30   83,321,781   49,287,500,405   0.16905%
30   42   77,643,290   46,120,140,440   0.16835%
31   32   76,755,822   45,629,294,840   0.16822%
32   01   72,964,581   43,734,730,305   0.16683%
33   38   82,299,027   49,457,314,635   0.16640%
34   48   77,898,034   47,016,606,915   0.16568%
35   43   80,868,606   48,929,421,255   0.16528%
36   26   74,150,136   44,872,296,825   0.16525%
37   31   82,224,182   49,885,086,345   0.16483%
38   45   72,374,958   44,677,250,875   0.16200%
39   39   71,949,265   44,788,237,585   0.16064%
40   47   77,583,288   48,328,153,850   0.16053%
41   20   61,109,808   38,090,771,705   0.16043%
42   37   66,801,688   41,649,475,570   0.16039%
43   40   81,378,588   51,151,670,475   0.15909%
44   36   67,163,210   42,225,295,860   0.15906%
45   34   70,086,991   44,326,665,745   0.15811%
46   49   70,886,527   45,273,397,105   0.15657%
47   35   71,959,041   46,140,852,970   0.15596%
48   41   62,463,084   41,225,289,210   0.15152%
49   46   66,161,654   43,993,767,595   0.15039%
50   53    1,402,141    3,071,159,250   0.04566%
51   58    2,263,086    4,972,511,820   0.04551%
52   50    1,319,872    2,901,147,520   0.04549%
53   52    2,120,869    4,670,657,510   0.04541%
54   57    1,367,658    3,033,142,720   0.04509%
55   55    1,922,093    4,293,701,240   0.04477%
56   54    2,273,638    5,098,936,450   0.04459%
57   56    1,810,308    4,076,982,210   0.04440%
58   51    1,635,670    3,697,676,290   0.04424%
59   59    1,661,628    3,891,499,740   0.04270%
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 2416 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 2019
Disclaimer - This is an unofficial UK lottery site
Auto-generated at 1.02am GMT on Sunday 17th February 2019