by D1Magnet » Wed Jun 26, 2019 6:33 am
Hi edymurph, with your original first post, I did some calculations on it
My spreadsheet:
On the spreadsheet attached, I looked at the percentage figure given, 32.154395 % and compared it against the result answers that were in the 800,000’s eg 866,362
I then compared from the actual answer amount (I called it value “X” in my spreadsheet), the actual percentage amount that would have given the 866,000’s (X) answer. With these actual percentage answers (I called them “E” or “E% amount”), I then averaged them over the whole 10 (eg 1640-1650), and also, 3 of them and 4 of them – just as an example (as you could try multiple different variations on this)
From these spreadsheet results, it looks like you could back test for example, 10 actual game answers (or whatever number is suitable) against the power2 amount (I called “P” in the spreadsheet), to see the variety of percentage amounts that would be the absolute correct answer each game (usually are 32.xxxxxx something percent) to try and establish a good general percentage figure to use in the future games. That’s just one idea from what I tried.
Also depending on how close you get to the (derived) answer you actually use as an estimate in the lotto games, you may even be able to play a few of these answers (eg 1 set being 1640-1650), if they give a low ticket amount (depending on what filter or strategy is actually used to reduce tickets) as Match Winning Numbers filter needed be exact on all 3 levels.
I noticed the 1642 answer gave some close results (from this example data) I highlighted the cell/s yellow. There was also something interesting about a 573 difference
Observations & questions:
The number 1640 (used in the example) seems to be the sum of 3278 divided by 2 which is actually 1639. Is this why 1640 was used to raise to the power of 2?
I saw that the second set of numbers in the example were an analysis of the repeating numbers in Expert Lotto on lotofacil, calculated on the whole 3.2 million package, therefore position 9 (E in the example) was 1,051,050 & the percentage was 32.154395 %
I noticed in the first set of numbers you gave eg A =6, B= 46, E =1,052, they look to be based on a 3200 ticket package in the lotofacil game, and with the repeating numbers statistic analysed over this 3200 package. Please confirm if this is correct or not?
When you analyse the 1800 or so draws from the winning numbers table, level 9 comes in around (for example) 571 or 609 & this was the figure that was inputted in the Match Wining Numbers filter, over 3 levels each game. Do you need to convert a number like eg 1086, back to a number like (for example) 571 or 609 (at level 9) to then enter it into the Match Winning Numbers filter?
With the last set of numbers called (answers only for position E) the actual answer around the 1000 mark, varied up or down even though the 860,000 ish answer (the power of 2) was going up one by one over the 11 levels you gave. I didn’t notice any consistent pattern for the actual answer in brackets eg 1086, 1076…1,030. How did this 860,000 ish number convert back into a number around the 1000 mark?
From the discussion on the other summation filter post, the Match Winning Numbers filter needed 3 levels to be exact to lower the ticket count & find the answer. How do these calculations (eg 866,000 ish) convert into finding a low ticket amount, or even just the one ticket, based on finding the answer for 1640, 1641….1650 ? And only estimating the one level, eg level 9 on the lotofacil game?
Thanks
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