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Most popular winning numbers picked in the last 2200 draws

Most  popular ticket in the last 2200 draws: 03 05 07 09 11 27 (49 wins to date totalling £641)
Least popular ticket in the last 2200 draws: 50 51 53 56 57 59 (2 wins to date totalling £50)
Pos  No.     Wins          Sales       Percentage
 1   07   87,344,952   42,936,207,170   0.20343%
 2   09   88,956,401   45,184,240,615   0.19687%
 3   05   80,651,780   41,212,231,175   0.19570%
 4   03   81,238,797   42,152,233,915   0.19273%
 5   11   87,233,484   45,462,655,125   0.19188%
 6   27   84,407,146   44,901,971,830   0.18798%
 7   06   78,186,560   41,768,565,725   0.18719%
 8   44   91,733,459   49,017,333,525   0.18714%
 9   12   80,410,985   42,974,658,415   0.18711%
10   13   66,654,532   35,733,686,240   0.18653%
11   23   88,762,881   47,774,508,295   0.18580%
12   04   77,533,829   41,950,194,005   0.18482%
13   17   81,522,975   44,124,305,735   0.18476%
14   19   75,553,414   40,897,790,015   0.18474%
15   18   79,518,674   43,123,033,905   0.18440%
16   08   74,492,106   40,458,100,330   0.18412%
17   10   78,284,873   42,961,319,800   0.18222%
18   02   77,781,671   42,983,331,705   0.18096%
19   28   80,107,191   44,389,760,050   0.18046%
20   24   77,355,109   43,100,542,770   0.17948%
21   29   75,211,426   41,938,458,630   0.17934%
22   15   73,689,515   41,250,517,160   0.17864%
23   14   77,457,413   43,363,256,725   0.17862%
24   22   74,537,136   41,774,142,710   0.17843%
25   25   84,698,774   47,801,358,265   0.17719%
26   21   66,556,926   37,636,847,120   0.17684%
27   16   67,596,180   38,523,630,095   0.17547%
28   33   79,086,297   45,076,136,040   0.17545%
29   42   76,328,859   43,569,078,640   0.17519%
30   30   82,227,647   47,169,268,085   0.17432%
31   32   75,643,398   43,475,660,080   0.17399%
32   01   71,659,700   41,534,727,325   0.17253%
33   38   81,002,488   47,108,609,235   0.17195%
34   43   79,612,731   46,653,938,975   0.17065%
35   48   77,057,141   45,218,923,625   0.17041%
36   31   80,757,432   47,489,889,105   0.17005%
37   26   73,119,506   43,024,764,975   0.16995%
38   45   70,888,584   41,947,688,775   0.16899%
39   20   59,800,908   35,717,021,165   0.16743%
40   47   76,428,176   46,003,580,830   0.16614%
41   37   65,742,333   39,680,470,810   0.16568%
42   36   65,923,290   39,790,477,480   0.16568%
43   39   71,063,718   42,927,437,815   0.16554%
44   40   80,374,618   49,094,826,415   0.16371%
45   34   69,089,752   42,325,421,145   0.16323%
46   49   69,674,135   42,924,868,395   0.16232%
47   35   70,935,934   44,184,893,100   0.16054%
48   41   61,263,243   38,805,689,210   0.15787%
49   46   64,970,311   41,674,431,495   0.15590%
50   52    1,125,891    2,296,601,330   0.04902%
51   58    1,052,334    2,218,207,390   0.04744%
52   54    1,174,707    2,556,916,280   0.04594%
53   55      792,990    1,757,491,390   0.04512%
54   56      551,437    1,234,486,170   0.04467%
55   50      612,366    1,385,335,360   0.04420%
56   51      874,808    2,003,243,390   0.04367%
57   53      635,382    1,469,868,530   0.04323%
58   59      671,642    1,625,695,730   0.04131%
59   57      761,758    1,865,899,380   0.04083%
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 2200 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 2017
Disclaimer - This is an unofficial UK lottery site
Auto-generated at 1.02am GMT on Monday 23rd January 2017