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Most popular winning numbers picked in the last 104 draws

Most  popular ticket in the last 104 draws: 05 08 09 10 12 27 (57 wins to date totalling £972)
Least popular ticket in the last 104 draws: 50 51 52 54 56 58 (6 wins to date totalling £150)
Pos  No.     Wins          Sales       Percentage
 1   05      970,337    1,267,424,770   0.07656%
 2   12      687,230      978,704,290   0.07022%
 3   09      881,702    1,274,090,540   0.06920%
 4   27      353,189      531,020,890   0.06651%
 5   08      883,535    1,332,309,410   0.06632%
 6   10      686,005    1,035,466,630   0.06625%
 7   24      154,473      237,107,620   0.06515%
 8   26      686,987    1,074,590,920   0.06393%
 9   06      592,604      936,480,440   0.06328%
10   28      342,030      542,811,930   0.06301%
11   35      541,267      860,518,350   0.06290%
12   01      705,073    1,125,509,280   0.06264%
13   31      730,705    1,166,590,670   0.06264%
14   19      711,123    1,139,980,920   0.06238%
15   49      469,913      753,795,370   0.06234%
16   13      392,069      632,395,490   0.06200%
17   25      741,897    1,197,335,180   0.06196%
18   07      469,505      758,686,120   0.06188%
19   02      470,521      767,563,630   0.06130%
20   11      579,803      950,976,870   0.06097%
21   17      532,160      873,771,670   0.06090%
22   38      683,891    1,124,823,360   0.06080%
23   43      563,112      941,238,890   0.05983%
24   20      782,747    1,320,580,700   0.05927%
25   34      480,388      810,832,230   0.05925%
26   04      520,271      888,494,850   0.05856%
27   15      597,337    1,031,354,530   0.05792%
28   45      751,186    1,298,324,780   0.05786%
29   23      341,329      597,811,240   0.05710%
30   16      256,059      449,327,920   0.05699%
31   29      626,308    1,099,690,100   0.05695%
32   18      665,173    1,184,409,700   0.05616%
33   57      227,647      407,203,540   0.05590%
34   03      671,188    1,208,091,600   0.05556%
35   30      448,366      807,151,050   0.05555%
36   39      430,455      777,529,210   0.05536%
37   14      274,842      497,894,620   0.05520%
38   42      652,828    1,192,179,160   0.05476%
39   37      430,674      795,266,440   0.05415%
40   46      797,806    1,479,673,910   0.05392%
41   44      541,238    1,012,511,450   0.05346%
42   21      292,681      559,726,100   0.05229%
43   40      609,232    1,200,333,050   0.05076%
44   47      408,513      816,723,270   0.05002%
45   36      589,574    1,183,538,600   0.04981%
46   33      454,151      912,677,480   0.04976%
47   32      554,578    1,129,941,700   0.04908%
48   41      412,054      841,836,760   0.04895%
49   55      619,986    1,282,216,830   0.04835%
50   48      623,390    1,296,327,920   0.04809%
51   53      348,126      729,515,400   0.04772%
52   22      448,335      944,349,360   0.04748%
53   59      493,644    1,049,819,010   0.04702%
54   51      379,063      847,099,230   0.04475%
55   56      476,132    1,128,288,230   0.04220%
56   58      536,925    1,274,782,010   0.04212%
57   50      205,591      493,119,490   0.04169%
58   52      425,829    1,027,157,980   0.04146%
59   54      337,986      818,075,390   0.04131%
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 104 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 9.16pm GMT on Saturday 15th December 2018