Hi,
I have done a sim to see the clump-card effect on a game.
To do this, I calc a clump_count BEFORE playing the shoe and I
Record the numbers of bets won/lost AT THE END of the shoe for some values of this clump_count.
The clump_count is calc like this:
high= 8,9,10
low= 2,3,4,5,6,7 aces are ignored.
(You will note this is a balanced count.)
0) if the current_card or the previous card is an ace step '1)' and '2)' are skiped.
1) Every time high follow high or low follow low I Add 1 to the clump_count
2) if not '1)' then I substract 1 from the clump_count.
the count is of course reseted before a new shuffle.
I have first calculated the average value of my Clump_count (-0.9)
then I have recorded the result around this value.
The result is very surprising for me and is in fact to the oposit of what I was inspecting for.
Result:
6 Decks, S17, D9, DAS, ENHC (!), early surrender (except on aces)
edge for this game for a pure BS player: +/- -0.4
result for the player[1] (first base).
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1000000 shoes 7 players casino shuffle.
average clump_count: -0.9
clump_count < -0.9: nbr of shoes:510538 bets won: -46410.5
clump_count > -0.9: nbr of shoes:489462 bets won: +3846.5 (?)
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1000000 shoes 7 players random shuffle.
average clump_count: -0.9
clump_count < -0.9: nbr of shoes:510931 bets won: -53609.5
clump_count > -0.9: nbr of shoes:489069 bets won: +730.0 (?)
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1000000 shoes 7 players no shuffle.
average clump_count: -3.9 (?)
clump_count < -0.9: nbr of shoes:582606 bets won: -64053.5
clump_count > -0.9: nbr of shoes:417394 bets won: -5110.5
Questions:
1) how is it possible to have an edge when the Clump_count is greater than it's average value ?
2) why is the result so different between all the shuffle procedures ?
3) Why the average clump_count drop to -3.9 with no shuffle ?
Your opinion ?
Thanks.
