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Originally Posted by
SiMi
Hi, all
Can anyone help me find a resource that details how to determine the best BJ strategy if one had complete, perfect knowledge of the cards that have already been seen in a 6 deck (or other) shoe? I remember Taft built a BJ computer that, I think, did this but I don't know how he developed the strategy/algorithm. The stories about Taft make me think that such a strategy exists...
I wrote a BJ play simulator (like CVCX) years ago and use it almost daily for training. I've gotten bored over the years of using it and thought it would be interesting to modify the program so it can advise me what the best play would be IF I HAD KEPT TRACK OF EVERY CARD THAT'S ALREADY BEEN PLAYED rather than just keeping a HiLo count. I already have it keeping track of the number of Aces and 5's that have been played just for my information, if I want to see that at any point but, I'd like to try to understand what strategy would be best if I knew this information for ALL the cards that have been played.
For example, if there were only 30 cards left in a 6 deck shoe (deep cut) and all the 6's and 7's have already been played but there's an excess of 10-value cards and 9's remaining, and you have a 14 vs. a dealer's 10, should you hit? Stuff like that.
I did some web searching but couldn't find anything exactly on point. Griffin's TOB has a chart on p.28 that shows how much can be gained from "perfect play" based on the number of unseen cards. (When the number of unseen cards gets small, the gain is impressive.) He also refers to the idea of 'perfect play' a lot in the book but I guess I'm missing the big picture of how one could design an algorithm that produced the best strategy given the seen vs. unseen cards. The task seems Herculean, but very interesting.
Thanks in advance for any help and BEST to all!
SiMi
Last year, there was an extensive discussion on this in which Eric Farmer and I, among others, participated. Search for it.
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