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Most popular winning numbers picked in the last 104 draws

Most  popular ticket in the last 104 draws: 03 04 07 14 27 28 (49 wins to date totalling £893)
Least popular ticket in the last 104 draws: 53 54 55 56 57 58 (9 wins to date totalling £240)
Pos  No.     Wins          Sales       Percentage
 1   07      752,491    1,062,632,470   0.07081%
 2   14      646,062      914,242,140   0.07067%
 3   04      612,716      894,490,080   0.06850%
 4   27      930,873    1,362,018,140   0.06835%
 5   03      622,350      927,764,460   0.06708%
 6   28      853,497    1,294,010,120   0.06596%
 7   21      857,829    1,317,740,200   0.06510%
 8   11      613,851      948,922,020   0.06469%
 9   17      330,413      520,813,130   0.06344%
10   12      374,394      590,338,200   0.06342%
11   16      415,219      661,912,660   0.06273%
12   02      443,428      726,107,830   0.06107%
13   05      370,940      612,564,100   0.06056%
14   22      353,504      584,590,850   0.06047%
15   09      602,753    1,001,634,590   0.06018%
16   23      557,933      929,188,560   0.06005%
17   19      587,482      981,823,590   0.05984%
18   10      699,664    1,177,378,040   0.05943%
19   30      417,057      703,075,440   0.05932%
20   24      492,939      833,152,260   0.05917%
21   08      636,063    1,075,719,420   0.05913%
22   01      577,557      982,219,770   0.05880%
23   33      858,047    1,497,976,150   0.05728%
24   35      639,304    1,123,816,540   0.05689%
25   29      322,660      570,248,470   0.05658%
26   47      836,850    1,489,450,350   0.05619%
27   06      381,541      682,369,980   0.05591%
28   40      384,160      687,390,090   0.05589%
29   18      607,079    1,092,631,810   0.05556%
30   38      777,110    1,407,430,280   0.05521%
31   25      447,395      820,170,020   0.05455%
32   36      569,384    1,048,921,040   0.05428%
33   31      336,427      622,641,830   0.05403%
34   48      457,373      847,306,600   0.05398%
35   42      602,699    1,122,285,540   0.05370%
36   15      207,787      389,310,060   0.05337%
37   37      593,879    1,115,741,330   0.05323%
38   13      463,843      880,914,410   0.05265%
39   45      586,959    1,139,144,780   0.05153%
40   44      519,750    1,018,365,420   0.05104%
41   34      410,070      804,874,000   0.05095%
42   20      445,969      878,405,870   0.05077%
43   26      396,081      799,822,780   0.04952%
44   50      520,727    1,077,270,620   0.04834%
45   51      522,904    1,093,118,050   0.04784%
46   43      321,412      672,309,960   0.04781%
47   39      581,136    1,223,018,180   0.04752%
48   52      777,646    1,637,093,930   0.04750%
49   59      486,494    1,024,754,490   0.04747%
50   32      522,554    1,107,406,070   0.04719%
51   41      206,786      439,506,640   0.04705%
52   46      368,514      787,645,310   0.04679%
53   49      642,637    1,376,673,260   0.04668%
54   57      550,736    1,193,389,480   0.04615%
55   53      387,861      875,948,280   0.04428%
56   54      496,538    1,127,643,460   0.04403%
57   56      425,053      966,467,770   0.04398%
58   55      395,031      926,158,830   0.04265%
59   58      317,438      774,627,270   0.04098%
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 2021
Disclaimer - This is an unofficial UK lottery site
Auto-generated at 9.17am GMT on Friday 22nd January 2021