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Most popular winning numbers picked in the last 2287 draws

Most  popular ticket in the last 2287 draws: 03 05 07 09 11 27 (50 wins to date totalling £666)
Least popular ticket in the last 2287 draws: 51 53 55 56 57 59 (2 wins to date totalling £50)
Pos  No.     Wins          Sales       Percentage
 1   07   87,848,605   43,774,100,400   0.20069%
 2   09   89,101,212   45,441,697,995   0.19608%
 3   05   81,030,265   41,848,009,635   0.19363%
 4   03   81,643,071   42,800,470,655   0.19075%
 5   11   87,947,149   46,466,257,995   0.18927%
 6   27   84,967,030   45,804,713,180   0.18550%
 7   44   92,132,725   49,678,252,675   0.18546%
 8   12   80,826,549   43,669,599,615   0.18509%
 9   13   67,068,852   36,484,592,920   0.18383%
10   06   78,866,963   42,967,034,925   0.18355%
11   17   81,816,046   44,662,924,265   0.18319%
12   19   76,139,398   41,724,242,035   0.18248%
13   04   77,981,867   42,760,778,635   0.18237%
14   23   89,588,932   49,157,345,325   0.18225%
15   08   75,026,111   41,317,864,200   0.18158%
16   18   80,022,371   44,105,237,025   0.18144%
17   10   78,607,787   43,517,267,860   0.18064%
18   28   80,309,807   44,766,808,440   0.17940%
19   02   78,216,248   43,701,316,405   0.17898%
20   29   75,592,202   42,626,826,220   0.17733%
21   24   77,882,192   44,110,952,300   0.17656%
22   22   74,879,985   42,417,979,630   0.17653%
23   14   77,959,499   44,166,407,655   0.17651%
24   15   74,232,890   42,183,883,120   0.17597%
25   25   85,069,143   48,490,243,875   0.17544%
26   33   79,179,646   45,304,735,070   0.17477%
27   21   67,187,525   38,693,253,450   0.17364%
28   32   75,868,126   43,871,417,000   0.17293%
29   16   68,294,891   39,615,219,375   0.17240%
30   42   76,829,255   44,580,426,080   0.17234%
31   30   82,837,336   48,407,227,855   0.17113%
32   01   72,193,343   42,437,432,155   0.17012%
33   38   81,506,652   48,108,001,335   0.16942%
34   48   77,247,424   45,653,490,125   0.16920%
35   43   80,088,083   47,436,465,635   0.16883%
36   26   73,359,109   43,503,198,655   0.16863%
37   31   81,172,378   48,150,225,215   0.16858%
38   45   71,352,769   42,826,516,645   0.16661%
39   20   60,305,348   36,704,132,205   0.16430%
40   47   76,944,716   47,074,077,060   0.16345%
41   39   71,443,627   43,831,694,815   0.16300%
42   37   66,325,374   40,740,766,150   0.16280%
43   36   66,474,715   40,848,277,230   0.16274%
44   40   80,643,449   49,649,399,275   0.16243%
45   34   69,577,058   43,345,162,785   0.16052%
46   49   70,366,718   44,309,501,585   0.15881%
47   35   71,302,071   44,926,867,860   0.15871%
48   46   65,148,010   42,045,699,535   0.15495%
49   41   61,941,267   40,138,096,780   0.15432%
50   58    1,554,886    3,347,285,240   0.04645%
51   50    1,022,747    2,227,593,590   0.04591%
52   52    1,588,142    3,459,719,010   0.04590%
53   54    1,782,206    3,926,163,130   0.04539%
54   53      922,775    2,033,899,040   0.04537%
55   56    1,125,617    2,536,578,110   0.04438%
56   51    1,114,227    2,521,307,150   0.04419%
57   57    1,009,187    2,322,720,120   0.04345%
58   55    1,186,047    2,734,695,540   0.04337%
59   59    1,129,040    2,736,680,730   0.04126%
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 2287 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 1.01am GMT on Friday 24th November 2017