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Most popular winning numbers picked in the last 2450 draws

Most  popular ticket in the last 2450 draws: 03 05 07 09 11 27 (51 wins to date totalling £714)
Least popular ticket in the last 2450 draws: 50 51 56 57 58 59 (4 wins to date totalling £100)
Pos  No.     Wins          Sales       Percentage
 1   07   88,730,861   45,217,752,290   0.19623%
 2   09   90,249,354   47,073,965,645   0.19172%
 3   05   82,223,704   43,487,522,045   0.18907%
 4   03   82,556,108   44,435,294,255   0.18579%
 5   11   88,920,445   48,030,783,015   0.18513%
 6   27   85,658,576   46,941,024,520   0.18248%
 7   44   92,778,643   50,897,687,315   0.18228%
 8   12   81,699,581   44,920,626,225   0.18188%
 9   13   67,705,775   37,511,253,320   0.18049%
10   23   90,147,497   50,075,489,475   0.18002%
11   06   79,721,066   44,394,548,835   0.17957%
12   17   82,775,893   46,245,722,595   0.17899%
13   04   78,915,745   44,285,737,305   0.17820%
14   19   77,107,632   43,356,815,115   0.17784%
15   28   80,761,885   45,494,298,610   0.17752%
16   10   79,439,554   44,792,768,100   0.17735%
17   18   80,896,850   45,674,455,045   0.17712%
18   08   76,384,223   43,283,991,120   0.17647%
19   02   78,792,626   44,722,285,885   0.17618%
20   24   78,327,338   44,836,902,260   0.17469%
21   14   78,353,813   44,908,165,375   0.17448%
22   29   76,481,438   44,290,698,480   0.17268%
23   21   67,480,206   39,252,979,550   0.17191%
24   15   75,189,991   43,754,164,770   0.17185%
25   25   86,029,480   50,102,191,325   0.17171%
26   33   79,922,150   46,618,426,080   0.17144%
27   22   75,854,783   44,254,262,910   0.17141%
28   16   68,784,725   40,432,698,625   0.17012%
29   30   83,362,167   49,395,769,605   0.16876%
30   32   76,867,996   45,734,294,840   0.16808%
31   42   77,923,168   46,459,127,210   0.16772%
32   01   73,069,413   43,947,404,465   0.16627%
33   38   82,437,766   49,669,396,405   0.16597%
34   48   78,045,154   47,273,564,115   0.16509%
35   43   81,111,226   49,275,712,975   0.16461%
36   26   74,534,511   45,405,347,235   0.16415%
37   31   82,392,338   50,215,075,715   0.16408%
38   45   72,595,223   45,082,039,895   0.16103%
39   47   77,678,103   48,337,432,650   0.16070%
40   20   61,200,942   38,222,906,125   0.16012%
41   39   72,126,737   45,047,810,725   0.16011%
42   37   67,040,150   41,925,057,340   0.15990%
43   36   67,389,863   42,474,179,470   0.15866%
44   40   81,691,726   51,588,249,285   0.15835%
45   34   70,249,272   44,560,804,765   0.15765%
46   49   70,971,374   45,449,495,935   0.15615%
47   35   72,367,254   46,899,076,930   0.15430%
48   41   62,552,245   41,397,855,140   0.15110%
49   46   66,331,189   44,280,059,475   0.14980%
50   53    1,577,926    3,335,339,080   0.04731%
51   54    2,606,773    5,514,097,630   0.04727%
52   52    2,358,182    5,096,497,860   0.04627%
53   55    2,129,159    4,641,072,700   0.04588%
54   50    1,465,220    3,210,740,060   0.04563%
55   57    1,404,873    3,096,642,720   0.04537%
56   58    2,285,889    5,045,290,620   0.04531%
57   56    1,892,506    4,205,476,490   0.04500%
58   51    1,788,897    4,004,363,410   0.04467%
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 2450 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 Wednesday 19th June 2019