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Most popular winning numbers picked in the last 2470 draws

Most  popular ticket in the last 2470 draws: 03 05 07 09 11 27 (52 wins to date totalling £810)
Least popular ticket in the last 2470 draws: 50 51 55 56 58 59 (6 wins to date totalling £150)
Pos  No.     Wins          Sales       Percentage
 1   07   88,843,649   45,485,441,150   0.19532%
 2   09   90,616,543   47,668,916,615   0.19010%
 3   05   82,479,519   43,887,338,335   0.18793%
 4   03   82,556,108   44,498,794,255   0.18552%
 5   11   89,073,409   48,405,982,545   0.18401%
 6   27   85,742,504   47,184,928,710   0.18172%
 7   12   81,699,581   45,025,626,225   0.18145%
 8   44   93,099,697   51,493,714,175   0.18080%
 9   13   67,705,775   37,616,253,320   0.17999%
10   23   90,347,312   50,359,077,525   0.17941%
11   06   79,846,146   44,678,149,905   0.17871%
12   17   83,063,598   46,609,114,375   0.17821%
13   04   79,001,820   44,419,452,475   0.17785%
14   19   77,155,334   43,461,815,115   0.17752%
15   28   80,930,387   45,756,687,170   0.17687%
16   10   79,565,941   45,031,551,650   0.17669%
17   18   81,056,084   45,958,683,795   0.17637%
18   02   78,839,562   44,786,997,125   0.17603%
19   08   76,613,556   43,702,582,540   0.17531%
20   24   78,492,010   45,125,354,910   0.17394%
21   14   78,548,324   45,277,038,095   0.17348%
22   29   76,698,554   44,584,908,180   0.17203%
23   21   67,480,206   39,252,979,550   0.17191%
24   15   75,189,991   43,817,664,770   0.17160%
25   25   86,082,798   50,216,533,355   0.17142%
26   33   79,922,150   46,681,926,080   0.17121%
27   22   75,886,453   44,428,661,630   0.17081%
28   16   68,836,877   40,589,388,455   0.16959%
29   30   83,548,060   49,809,491,465   0.16774%
30   42   77,959,670   46,736,309,030   0.16681%
31   32   77,118,746   46,284,118,990   0.16662%
32   01   73,069,413   43,947,404,465   0.16627%
33   38   82,471,163   49,734,176,025   0.16582%
34   48   78,092,855   47,378,564,115   0.16483%
35   31   82,424,008   50,284,474,435   0.16392%
36   43   81,248,936   49,641,434,375   0.16367%
37   26   74,591,424   45,752,435,435   0.16303%
38   45   72,839,324   45,565,879,075   0.15985%
39   47   77,760,771   48,724,126,470   0.15959%
40   20   61,270,841   38,416,072,465   0.15949%
41   39   72,208,938   45,337,834,015   0.15927%
42   37   67,156,500   42,263,781,090   0.15890%
43   40   81,741,934   51,889,884,985   0.15753%
44   36   67,547,393   42,935,316,750   0.15732%
45   34   70,297,996   44,733,980,045   0.15715%
46   49   70,971,374   45,449,495,935   0.15615%
47   35   72,420,572   47,119,913,040   0.15369%
48   41   62,656,305   41,592,195,740   0.15064%
49   46   66,472,074   44,629,070,765   0.14894%
50   53    1,694,461    3,690,728,240   0.04591%
51   54    2,645,911    5,796,890,740   0.04564%
52   57    1,562,140    3,427,275,820   0.04558%
53   52    2,480,161    5,445,072,780   0.04555%
54   58    2,503,587    5,507,328,250   0.04546%
55   50    1,502,535    3,317,621,830   0.04529%
56   55    2,211,360    4,931,095,990   0.04485%
57   51    1,814,140    4,070,558,810   0.04457%
58   56    1,929,821    4,375,858,260   0.04410%
59   59    1,752,677    4,104,768,940   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 2470 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 1.01am BST on Monday 26th August 2019