Here are batches of 10 Bac Shoes just to give anyone an idea how the landscape pretty much changes from shoe to shoe.
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cheers
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cheers
Perfect, a sure random pick, right?
Say we want to register what happens after any P double appearance (one trigger I've talked about on my last post). Then we'll get:
First shoe
1- P double
2- P single
3- P single
4- P single
Second shoe
1- P single
2- P double
3- P single
4- P 3+
3rd shoe
1-P single
4th shoe
1- P double
2- P double
3- P single
4- P double undefined
5th shoe
1- P single
2- P single
3- P 3+
6th shoe
1- P single
2- P single
7th shoe
1- P 3+
2- P 3+
3- P double
4- P double
5- P single
8th shoe
1- P 3+
2- P single
9th shoe
1- P single
2- P single
3- P double
4- P single
10th shoe
1- P single
2- P double
11th shoe
1- P double
2- P single
3- P single
4- P single
12th shoe
1- P single
2- P double
3- P single
4- P 3+
13th shoe
1- P single
14th shoe
1- P double
2- P double
3- P 3+
4- P single
5- P double undefined
15th shoe
1- P single
2- P single
3- P 3+
16th shoe
1- P single
2- P single
17th shoe
1- P 3+
2- P 3+
3- P double
4- P double
5- P single
18th shoe
1- P single
2- P 3+
3- P single
19th shoe
1- P single
2- P single
3- P double
4- P single
20th shoe
1- P single
2- P double
3- P single
Total P singles: 36
Total P doubles: 16
Total P 3+s: 11
Total P doubles undefined (meaning one loss if cutting strategy): 2
Singles-doubles/3+s ratio= 52/11 (4.72:1) , expected ratio over a coin flip proposition = 3/1.
We have to add two losing units to the 3+s amount. Still we are in very good shape.
Of course those twenty shoes seem to be too B oriented or too SD/3+ favored anyway.
But what about the probability of success which cannot care a bit about the B vig whether a carefully studied progression is implemented?
And we weren't taking into account the asymmetrical factor and some additional statistical features giving us a much more manageable probability of success.
Everything explained in detail in my book. Not available so easily.
as.
Thanks Asym for your interesting analysis. :thumbsup:
Here is something else to have a look at which I find interesting.
This is taken from 100 (6 deck) shoes.
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Looking at the top line...Bank appeared 2569 times. It repeated on Bank 1147 times and went to Player 1167 times. The tie came out 220 times.
What I found interesting is how most of the profitable situations appear when betting for player. The percentages in blue highlight where a profit was achieved. In this set of 100 shoes, there was four profitable scenarios when betting for Banker and ten such situations for player.
In the second set of 100 shoes.....the ratio is 14/6 in favour of Player and in the third set of 100 shoes.....the ratio is 14/5 in favour of player.
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cheers