Streaks as a realiable source of asymmetry
The asymmetrical card distribution feature could be exploited by advancing one step further, that is by considering only the streaks of certain lenght.
More precisely by forming 'classes' of streaks of specific lenght.
We well know that per each class of streak we'll get an equal amount of superior streaks, therefore two classes of streaks will fight against another one by a general 0.75 probability.
Say we want to examine 3,4 and 5+ streaks (from now we name them 5). (Of course there are reasons to choose such categories).
Shoe example #1. Streaks are: 5, 3, 4, 3, 5, 3, 3, 3, 3.
3 vs superior streaks = 6/3
4 vs sup streaks= 1/2
Since we won't know when a given class of streaks will outnumber a proportional 'homogeneous' distribution, let's try to consider all possible 3-4-5 combinations.
3-4= LWWWLWWWW
3-5= WWLWWWWWW
4-5= WLWLWLLLL
Naturally to try to spot the 'heterogeneous' streak (and more importantly its average impact over the actual distribution) we can always adopt the unb plan #1 guidelines.
Shoe #2. Streaks are: 3, 3, 5, 4, 4, 3, 4, 5, 5.
3-4= WWLWWWWLL
3-5= WWWLLWLWW
4-5= LLWWWLWWW
Shoe #3. Streaks are: 4, 3, 5, 3, 5, 4, 5, 3, 3, 4, 5.
3-4= WWLWLWLWWWL
3-5= LWWWWLWWWLW
4-5= WLWLWWWLLWW
Shoe #4. Streaks are: 3, 3, 5, 4, 3, 3, 4, 3, 5.
3-4= WWLWWWWWL
3-5= WWWLWWLWW
4-5= LLWWLLWLW
Of course and besides of the last part of shoe #1, I have omitted to present shoe examples producing long homogeneous streaks of same lenght as 3, 3, 3, 3, 3, 3, 5, 3, 3, 3. And they are quite often to happen.
I've already named them as 'jackpots' for obvious reasons.
Now:
3-4= WWWWWWLWWW
3-5= WWWWWWWWWW
4-5= LLLLLLWLLL
Notice and obviously that there are no tricks involved about WL percentages, in fact:
shoe #1
3-4= +1
3-5= +5
4-5= -15
shoe #2
3-4= -3
3-5= -3
4-5= -3
shoe #3
3-4= -5
3-5= -1
4-5= -5
shoe #4
3-4= +1
3-5= +1
4-5= -11
Finally the last 'homogeneous' shoe:
3-4= +6
3-5= +10
4-5= -26
If we were playing with a team formed by three different players each betting its class (3-4), (3-5) and
(4-5), we eventually got a -48 unit loss (plus vig), a loss accumulated only by the 4-5 player.
Do not be led to think that player wagering the longer streaks (4,5) will be destined to lose heavily most of the time as many shoes will present a lot of 4 streaks with few or no 3s and sometimes shoes are particularly rich of long streaks (5).
Again we are jumping back to the same old concept that it's not possible to beat the game by a strict mechanical betting unless we're considering a kind of 'biased' card distribution happening along any shoe dealt negating a perfect random unbeatable world.
And few spots are really worthwhile to be wagered at.
Therefore there will be 'math' probabilities to get B after A and there are statistical and actual probabilities to get B after A as at baccarat no hand is completely independent from the previous one, especially whether we have reasons to think the actual shoe is not perfect randomly shuffled.
Always realizing that such slight propensity will act under insignficant variance values just at very selected spots.
as.
The asymmetrical card distribution feature could be exploited by advancing one step further, that is by considering only the streaks of certain lenght.
More precisely by forming 'classes' of streaks of specific lenght.
We well know that per each class of streak we'll get an equal amount of superior streaks, therefore two classes of streaks will fight against another one by a general 0.75 probability.
Say we want to examine 3,4 and 5+ streaks (from now we name them 5). (Of course there are reasons to choose such categories).
Shoe example #1. Streaks are: 5, 3, 4, 3, 5, 3, 3, 3, 3.
3 vs superior streaks = 6/3
4 vs sup streaks= 1/2
Since we won't know when a given class of streaks will outnumber a proportional 'homogeneous' distribution, let's try to consider all possible 3-4-5 combinations.
3-4= LWWWLWWWW
3-5= WWLWWWWWW
4-5= WLWLWLLLL
Naturally to try to spot the 'heterogeneous' streak (and more importantly its average impact over the actual distribution) we can always adopt the unb plan #1 guidelines.
Shoe #2. Streaks are: 3, 3, 5, 4, 4, 3, 4, 5, 5.
3-4= WWLWWWWLL
3-5= WWWLLWLWW
4-5= LLWWWLWWW
Shoe #3. Streaks are: 4, 3, 5, 3, 5, 4, 5, 3, 3, 4, 5.
3-4= WWLWLWLWWWL
3-5= LWWWWLWWWLW
4-5= WLWLWWWLLWW
Shoe #4. Streaks are: 3, 3, 5, 4, 3, 3, 4, 3, 5.
3-4= WWLWWWWWL
3-5= WWWLWWLWW
4-5= LLWWLLWLW
Of course and besides of the last part of shoe #1, I have omitted to present shoe examples producing long homogeneous streaks of same lenght as 3, 3, 3, 3, 3, 3, 5, 3, 3, 3. And they are quite often to happen.
I've already named them as 'jackpots' for obvious reasons.
Now:
3-4= WWWWWWLWWW
3-5= WWWWWWWWWW
4-5= LLLLLLWLLL
Notice and obviously that there are no tricks involved about WL percentages, in fact:
shoe #1
3-4= +1
3-5= +5
4-5= -15
shoe #2
3-4= -3
3-5= -3
4-5= -3
shoe #3
3-4= -5
3-5= -1
4-5= -5
shoe #4
3-4= +1
3-5= +1
4-5= -11
Finally the last 'homogeneous' shoe:
3-4= +6
3-5= +10
4-5= -26
If we were playing with a team formed by three different players each betting its class (3-4), (3-5) and
(4-5), we eventually got a -48 unit loss (plus vig), a loss accumulated only by the 4-5 player.
Do not be led to think that player wagering the longer streaks (4,5) will be destined to lose heavily most of the time as many shoes will present a lot of 4 streaks with few or no 3s and sometimes shoes are particularly rich of long streaks (5).
Again we are jumping back to the same old concept that it's not possible to beat the game by a strict mechanical betting unless we're considering a kind of 'biased' card distribution happening along any shoe dealt negating a perfect random unbeatable world.
And few spots are really worthwhile to be wagered at.
Therefore there will be 'math' probabilities to get B after A and there are statistical and actual probabilities to get B after A as at baccarat no hand is completely independent from the previous one, especially whether we have reasons to think the actual shoe is not perfect randomly shuffled.
Always realizing that such slight propensity will act under insignficant variance values just at very selected spots.
as.