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Most popular winning numbers picked in the last 2499 draws

Most  popular ticket in the last 2499 draws: 03 05 07 09 11 12 (54 wins to date totalling £847)
Least popular ticket in the last 2499 draws: 50 51 55 56 57 59 (4 wins to date totalling £110)
Pos  No.     Wins          Sales       Percentage
 1   07   88,926,945   45,614,253,820   0.19495%
 2   09   90,760,594   47,801,305,225   0.18987%
 3   05   82,632,271   44,165,660,705   0.18710%
 4   03   82,676,386   44,698,975,975   0.18496%
 5   11   89,170,282   48,602,590,465   0.18347%
 6   12   81,782,492   45,138,326,535   0.18118%
 7   27   85,936,863   47,498,702,510   0.18092%
 8   44   93,181,429   51,635,397,785   0.18046%
 9   13   68,061,445   38,111,467,830   0.17859%
10   06   79,937,739   44,788,507,055   0.17848%
11   23   90,687,001   50,925,019,615   0.17808%
12   17   83,215,978   46,873,284,185   0.17753%
13   04   79,226,281   44,787,346,345   0.17689%
14   19   77,366,354   43,748,513,995   0.17684%
15   28   81,152,445   46,061,338,450   0.17618%
16   18   81,178,322   46,170,700,595   0.17582%
17   10   79,769,392   45,370,753,800   0.17582%
18   02   79,099,359   45,243,880,385   0.17483%
19   08   76,885,963   44,170,370,900   0.17407%
20   24   78,550,659   45,234,341,580   0.17365%
21   14   78,672,589   45,463,766,185   0.17304%
22   21   67,626,770   39,357,979,550   0.17182%
23   29   76,870,811   44,849,614,410   0.17140%
24   15   75,288,292   43,992,372,120   0.17114%
25   33   80,047,655   46,906,006,980   0.17066%
26   25   86,349,184   50,604,624,725   0.17063%
27   22   76,007,349   44,657,942,730   0.17020%
28   16   69,190,880   41,304,369,465   0.16751%
29   30   83,715,107   50,100,625,435   0.16709%
30   42   78,150,706   47,030,380,020   0.16617%
31   01   73,175,760   44,156,459,625   0.16572%
32   32   77,441,963   46,801,918,280   0.16547%
33   38   82,628,010   50,023,749,515   0.16518%
34   48   78,127,091   47,442,064,115   0.16468%
35   31   82,581,992   50,459,234,085   0.16366%
36   43   81,388,073   49,846,973,245   0.16328%
37   26   74,831,016   46,155,982,215   0.16213%
38   45   72,889,279   45,657,486,995   0.15964%
39   20   61,307,267   38,485,779,815   0.15930%
40   47   77,968,638   49,071,529,370   0.15889%
41   39   72,349,492   45,636,738,415   0.15853%
42   37   67,265,658   42,438,488,440   0.15850%
43   36   67,673,679   43,163,667,060   0.15678%
44   40   82,034,647   52,449,440,195   0.15641%
45   34   70,530,685   45,155,412,535   0.15620%
46   49   71,083,036   45,681,153,645   0.15561%
47   35   72,509,959   47,276,399,140   0.15337%
48   41   62,899,103   42,087,723,580   0.14945%
49   46   66,518,992   44,734,070,765   0.14870%
50   58    2,753,638    5,989,085,660   0.04598%
51   53    1,756,536    3,824,574,510   0.04593%
52   52    2,651,288    5,785,304,290   0.04583%
53   54    2,645,911    5,796,890,740   0.04564%
54   57    1,678,077    3,680,004,980   0.04560%
55   55    2,327,328    5,136,279,600   0.04531%
56   50    1,502,535    3,317,621,830   0.04529%
57   51    1,937,906    4,357,129,400   0.04448%
58   56    2,105,855    4,781,125,330   0.04405%
59   59    1,842,202    4,322,495,350   0.04262%
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 2499 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 GMT on Saturday 7th December 2019