Hi KFB!
The BP model is biased at the start for two different reasons.
1- B is more likely than P just on rare occasions, I mean it's not steadily more probable than P as the overall B/P probability is assessed on the very long term, many times mixing up different sources of data and/or considering pc simulated shoes.
2- any live bac shoe dealt in the universe is affected by a kind of non randomness.
#1: I've provided here and for the first time publicly (for free) the math values why and by which degree B>P.
#2: math values work only at real random propositions, yet we can assume that such randomness doesn't affect most part of live shoes dealt.
But we need more advanced tools to ascertain a possible non randomness, namely getting rid of simple B/P successions.
Several years ago Ed Thorp devised a card counting scheme assigning a value to Banker's positive cards and Player's positive cards.
After a cutoff point was reached (needing many many hands to show up on average), Thorp demonstrated that a side was more likely than the other one and, surprise, only the Player's side got a small positive edge over the house (0.33% or so). Banker side remained negative no matter what.
More recent studies (always apllied to pc simulations) have shown the in very rare occasions some shoe distributions could get the Banker the 51.3% cutoff probability capable to erase and invert the negative HE. Unfortunately being so much restricted that it's considered as worthless.
Everybody here knows that a card counting technique cannot be a viable option to overcome the negative BP edge.
But at least we may conclude that baccarat is not made by independent successions and that even though B>P, one study showed that the only profitable situation to be ahead of the game is by waiting a strong deficit of Player positive cards.
Another eminent gambling expert, James Grosjean, stated that "the game is symmetric so that are no cards that massively favor one bet or the other".
Actually and knowing the average asymmetrical key cards impact acting at every live shoe dealt we should transform the above statement into "the game is so symmetrical that asymmetrical spots will tend to get more probable cutoff values than expected".
And of course B/P values tend to be way less predictable than A/B models.
B/P classifications must consider a BP distribution acting at every hand dealt without any previous consideration, yet A/B models could start the registration after precise situations had arised (or not).
I mean that the more hands we must classify to get a A/B result, higher will be the probability to get A after B or B after A.
Consider this shoe sequence:
PPPPP
BB
P
BBBBB
P
B
BB
PPP
BBB
PPPP
...
as a
A
B
A
B
AA
BBB
A
B
A
BBB
A
BB
A
BB
A
B
A
B
A
B
succession.
We transformed the BP sequence into a AB succession by a simple mechanical way.
Are we more favored to detect the AB sequence than the BP original sequence?
What about very long term situations?
as.
The BP model is biased at the start for two different reasons.
1- B is more likely than P just on rare occasions, I mean it's not steadily more probable than P as the overall B/P probability is assessed on the very long term, many times mixing up different sources of data and/or considering pc simulated shoes.
2- any live bac shoe dealt in the universe is affected by a kind of non randomness.
#1: I've provided here and for the first time publicly (for free) the math values why and by which degree B>P.
#2: math values work only at real random propositions, yet we can assume that such randomness doesn't affect most part of live shoes dealt.
But we need more advanced tools to ascertain a possible non randomness, namely getting rid of simple B/P successions.
Several years ago Ed Thorp devised a card counting scheme assigning a value to Banker's positive cards and Player's positive cards.
After a cutoff point was reached (needing many many hands to show up on average), Thorp demonstrated that a side was more likely than the other one and, surprise, only the Player's side got a small positive edge over the house (0.33% or so). Banker side remained negative no matter what.
More recent studies (always apllied to pc simulations) have shown the in very rare occasions some shoe distributions could get the Banker the 51.3% cutoff probability capable to erase and invert the negative HE. Unfortunately being so much restricted that it's considered as worthless.
Everybody here knows that a card counting technique cannot be a viable option to overcome the negative BP edge.
But at least we may conclude that baccarat is not made by independent successions and that even though B>P, one study showed that the only profitable situation to be ahead of the game is by waiting a strong deficit of Player positive cards.
Another eminent gambling expert, James Grosjean, stated that "the game is symmetric so that are no cards that massively favor one bet or the other".
Actually and knowing the average asymmetrical key cards impact acting at every live shoe dealt we should transform the above statement into "the game is so symmetrical that asymmetrical spots will tend to get more probable cutoff values than expected".
And of course B/P values tend to be way less predictable than A/B models.
B/P classifications must consider a BP distribution acting at every hand dealt without any previous consideration, yet A/B models could start the registration after precise situations had arised (or not).
I mean that the more hands we must classify to get a A/B result, higher will be the probability to get A after B or B after A.
Consider this shoe sequence:
PPPPP
BB
P
BBBBB
P
B
BB
PPP
BBB
PPPP
...
as a
A
B
A
B
AA
BBB
A
B
A
BBB
A
BB
A
BB
A
B
A
B
A
B
succession.
We transformed the BP sequence into a AB succession by a simple mechanical way.
Are we more favored to detect the AB sequence than the BP original sequence?
What about very long term situations?
as.