Baccarat Simulations Series 1 Discussion: Single Side, Rp, Opp, RO
I provided the numerical and graphical results of my first series of baccarat simulations in the previous post, Baccarat Simulations Series 1 Results. I generated a wealth of statistics but posted only the most important.
In this first series, I was just warming up, testing the program and putting it through its paces. Five elementary methods were examined: 1) Single side betting of Player, 2) Single side betting of Banker, 3) Always bet Repeat of the last decision, 4) Always bet Opposite of the last decision, and 5) Always bet Repeat, except bet Opposite after two chops (toy strategy illustrated in Check, Please!). For each method, I tested 3 money management procedures and 2 betting methods, flat betting and U1D2M2 (ref. Money Matters). In addition to P/B, I also based upon R/A another set of simulations with all of the above variations. R/A are derivatives of P/B.
The single most important statistic is the Player’s Advantage (P.A.), which is the net units won after commissions divided by the total units bet, expressed as a percentage. The more positive the P.A., the better. P.A.= +100% means a perfect game where all bets were won and no commissions were paid (all Player bets). A negative P.A. indicates a net loss. P.A.= -100% means all bets were lost. P.A.=0% is break-even.
Single-side, flat betting of Player and Banker yielded P.A.s close to what are theoretically expected. For Player, P.A. = -1.36%, where the theoretical expectancy is -1.24%. For Banker, P.A. = -1.18%, where the theoretical expectancy is -1.06%. The closeness in values provides further confirmation that the program is working properly and the statistics are accurate (ref. Check, Please!). (Update: Thanks to Rick for pointing out here that if ties are not considered, the theoretical expectancy for P is -1.36% and for B is -1.17%, and since indeed I did not include tie data in the data set for these simulations, my experimental values are completely consistent with what are theoretically expected.)
For the Player-Banker simulations, the different money management routines did not significantly change the P.A., in some cases marginally better, while in others, slightly worse. While the graphs show that money management significantly reduced the absolute amount lost and the rate of loss, the essentially identical P.A.s indicate money management would simply delay the inevitable. Likewise, whether flat betting or using U1D2M2, the P.A.s remained fairly constant. Again, the graphs show that the total amount lost using U1D2M2 exceeded that of flat betting, simply because the bet sizes were greater, but the P.A. remained basically the same.
Money management did significantly increase the percentage of shoes won, but because this resulted in no increase in advantage overall, the total score of the extra winning shoes with money management balanced out the total score of the fewer winning shoes without money management.
Of course, money management’s most noticeable effect is in significantly lessening the worst score. Again, because this resulted in no increase in advantage overall, money management’s effect of reducing the worst score was balanced out by increasing the number of shoes with relatively small losses.
When using R and A as the basis, the results do not significantly change, and yield similar P.A.s for all cases.
So far, the results suggest that betting Repeat, Opposite, or both in a simple combination such as in the Repeat-Opposite toy model yield long term expectancies not significantly better than single side betting Player or Banker. Moreover, for methods with overall negative expectancies, money management does not appear to significantly help improve performance, but merely delays the inevitable. Over the long term, whether using flat betting or U1D2M2 does not make a significant difference in the P.A. for these simple methods. Using U1D2M2 simply loses more in a shorter period of time. The overall results do not significantly change whether using P/B or R/A as the basis for determining bets.
October 10, 2010 at 9:29 am
[...] (Read a discussion of these results here: Baccarat Simulations Series 1 Discussion.) [...]
October 11, 2010 at 1:48 pm
[...] The T and OT methods are simply one decision removed from the more straightforward Repeat and Opposite methods, which were examined in the first set of simulations (Baccarat Simulations Series 1 Results and Discussion). [...]
October 11, 2010 at 7:56 pm
[...] The results show that T, O, and OTT for both P/B and R/A bases yield negative P.A.s which are in the range of single-side betting Player or Banker. Whether flat betting or using U1D2M2, the results were about the same. Moreover, money management did not help to significantly improve the performance. This is consistent with the results of the first series, where money management did not help methods with overall negative expectancies and only delayed the inevitable (ref: Baccarat Simulation Series 1 Results and Discussion). [...]
October 13, 2010 at 2:56 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 13, 2010 at 2:56 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 13, 2010 at 5:17 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 13, 2010 at 7:52 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 13, 2010 at 11:07 pm
[...] results of the first two series were discussed in the previous posts Series 1 Discussion and Series 2 [...]
October 15, 2010 at 12:24 am
Player’s Advantage is the net units won after commissions divided by the total units bet.
October 15, 2010 at 11:29 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 16, 2010 at 11:03 am
[...] 40 for public consideration. In essence, it combines the basic Repeat and Opposite methods (ref. Series 1) using the SAP [...]
October 25, 2010 at 2:17 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 26, 2010 at 11:59 am
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 26, 2010 at 5:44 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 27, 2010 at 1:03 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 28, 2010 at 2:25 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 28, 2010 at 3:44 pm
[...] I have thoroughly examined Mark’s Maverick and Maverick Ultimate using baccarat simulations:
1. Disparity Version (ref. Series 10)
2. Lazy Man’s Version (ref. Series 11)
3. Modes Version (ref. Series 12)
4. Triggers Version (ref. Series 13)
There are interesting rationales and histories behind each of these versions. However, in terms of results, all yield Player’s Advantages comparable to any of the other baccarat methods tested to date. None perform better than simply single-side betting (ref. Series 1). [...]
October 29, 2010 at 4:03 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
October 29, 2010 at 6:05 pm
[...] However, testing his method over 102,600 shoes shows that in the long run, Rodreiguez’s method offers no actual positive edge, yielding Player’s Advantages no better than single-side betting (ref. Series 14 Results, Series 1 Discussion). [...]
November 1, 2010 at 10:23 am
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
November 1, 2010 at 11:35 am
[...] My results indicate that if Brannan truly found a 2% edge flat betting his method, his data set must have been highly biased in his favor. Contrary to his claims, Brannan’s Ultimate Baccarat in the long run yields Player’s Advantages no better than single side betting and is unable to overcome the house’s edge (ref. Series 1 Discussion). [...]
November 1, 2010 at 7:54 pm
[...] System 40, RD1, or F2/F3 alone, and all perform comparably with simple single-sided betting (ref. Series 1). Money management and U1D2M2 do not offer any significant improvement, a recurring theme for [...]
November 4, 2010 at 6:46 am
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
November 4, 2010 at 2:08 pm
[...] or without money management, Dr. Lim’s method does no better than single side betting (ref. Series 1 Discussion) and does not overcome the house’s [...]
November 10, 2010 at 8:54 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
November 13, 2010 at 11:21 am
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
November 14, 2010 at 7:59 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
November 17, 2010 at 6:18 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
November 20, 2010 at 12:48 am
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
November 26, 2010 at 10:35 am
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
December 17, 2010 at 12:12 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
January 17, 2011 at 1:35 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
January 30, 2011 at 3:42 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
February 8, 2011 at 10:57 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
February 23, 2011 at 9:44 am
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
February 24, 2011 at 11:12 am
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
March 7, 2011 at 9:28 am
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
May 4, 2011 at 8:47 pm
[...] Player’s Advantage is the net units won after commissions divided by the total units bet. [...]
September 12, 2011 at 4:57 am
[...] Results from Baccarat Simulations Series 32 are presented below.
In this series, I examined Tom’s DM setups. [...]
October 9, 2011 at 9:23 pm
[...] = Player’s Advantage is the net units won after commissions divided by the total units [...]
October 11, 2011 at 9:50 pm
[...] = Player’s Advantage is the net units won after commissions divided by the total units [...]
October 28, 2011 at 6:59 pm
[...] on P and B expectancies, excluding ties, giving the numbers of decisions, percentages of total, and Player’s Advantages (P.A., or expectancy) of always betting that decision. The results suggest that expectancies of [...]