Icewynd said:
Oh yes, skips are an important part of how I pick lottery numbers.
If you look at the average lottery draw you will find that:
3.6 numbers have a skip of 5 or lower
1.3 numbers will have a skip of 6-10
0.6 numbers will have a skip of 11-15
0.5 numbers will have a skip of 16 or higher.
So, most of your picks will come from the numbers that have been hitting most recently. About 22% of the time you will get 5 or even all 6 numbers from this group. Of course, this is where the majority of the numbers hang out!
These statistics are based on a 6/49 game, so the numbers will be different for a different matrix, but the principle should remain the same.
Good luck!
doug_w said:
Would be interested in knowing how you calculate these figures.
doug_w said:
Hi The Concept
Am still waiting for Icewynd to explain how he arrived at those percentages.
I'm not surprised that there is a delay in answering Dougs question, its because it is difficult to explain, and there are conditions which might change the figures depending on what you measure and what you want as an output.
The simple answer is that you can either:-
1. Work it out using a spreadsheet using theory, or
2. You can have a counting mechanism that counts all the skips of all the balls including bonus in real time and lists current values of skip against each result as it happens, then seperately one can count how many of each value of skip occurs in history and express it as a percentage of all the skips.
Add up all the skip percentages in the range 0 to 5, making say X%, add up all in the range 6 to 11 making Y% etc.
If one line of 7 balls were 100% of a possible result then X% times 7 is the average number of balls in the line up whose skip is in the range 0 to 5. Y% times 7 is the average number of balls in the line up whose skip is in the range 6 to 11.... and so on for the other skip groups.
You will notice that Icewynds figures add up to 6 not 7, whilst I'm sure the analysis was over all 7 balls - so a decision has been taken to proportion the result over 6 balls not 7. One of those six could be a bonus ball since There are six possible lines of 6 from 7.
This is where it gets confusing because you can generate 3 different sets of figures for a 6/49 lottery depending on what you as an analyst want to know as an output.
1 .. You analyse all 7 balls, count up ALL the skips including bonus balls and get the proportions for a 7 ball line up.
2... Using the above analysis for 7 balls you infer what it would be for a 6 ball line up by simple proportion.
3... You know that you are ony interested in MAIN balls, so you do not track bonus balls at all, just the first 6 main balls. This is an entirely different statistic, different probabilities, longer average skip. The percentages you get for a 6 ball result will differ from those on result 2.
Icewynds figures are of type 2, taken from a 7 ball analysis, proportioned for 6 balls. I agree with those figures both actually and theoretically for that type of analysis.
The best way to make sense of this is to see it in action on a theoretical spreadsheet, which I just happen to have created.
http://www.mediafire.com/view/09do1jly1j9297o/Theoretical_skips_for_common_Lotteries.xls
You need to set up the parameters of the lottery - as it works for a range of lottery matrices, but only those with a single (or no) bonus ball selected from the same machine as the rest.
So for an analysis of all 7 balls of a 6/49 plus bb game the setting is 7 balls from 49 ..."has bonus ball".
The output result(s) are in columns O or P depending on what you want. With these settings Icewynds figures are in column P.
If you switch to "no bonus ball counted" , only column O is visible showing how the proportions span all 7 balls.
For pure main ball analysis, then settings 6 balls from 49 "no bonus ball counted" will give figures which favour longer skips, as the average skip is now 7.167 for main balls only. This would modify Icewynds figures to:-
3.260 numbers have a skip of 5 or lower
1.314 numbers will have a skip of 6-10
0.684 numbers will have a skip of 11-15
0.742 numbers will have a skip of 16 or higher.
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6.000
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In case you were wondering, the probabilty of a skip (s) is (1- (c/n))^(s+1) where c is balls drawn and n is how many in the drum.
On the next sheet of the spreadsheet are Actual measured figures for Canadian and UK lotteries along with the theoretical values. You will note that there are three sets of figures corresponding to type 1,2,or 3 both for actuals and for theoretical values, they agree pretty well.
There is an examples sheet with other lotteries which may be of interest. The Irish Lotto is included.
Thats enough to be going on with. I think that answers Dougs question.