
Originally Posted by
Sethbets
Seriously though, it's a 50-50 game, near enough.
No and NO.
Let no one go there with Enron Accounting fuzzy math "near enough" statements.
In an 8 deck shoe:
banker wins 0.5068248
player wins 0.4931752
Difference: 0.0136497
is that really "near enough"? 1.36% Is a very large number compared to .136%. Where do we draw the line?

Originally Posted by
Sethbets
Why back a proposition that doesn't pay even money?
Since the Banker bet is the "odds on favorite" it can NEVER pay even money, but it still is the favorite.
The Banker bet EVEN with paying a 5% commission on a win, wins more than the Player bet the longer one plays because of the house edge.
Most do not understand what the house edge is or how it even comes into play.
It is the "short payoff" effect where the casino refuses to pay true odds of a bet. You are short changed on a win. simple as that.
Banker bet should pay 0.4931752/0.5068248 = $0.9730 per $1 bet
It only pays $0.95 per $1 bet
That small difference of $0.023 is the house edge (not counting ties). (.023/1.973)
Code:
bet win prob pays fair difference
banker 0.5068248 0.95 0.973068289 -0.023068289
player 0.4931752 1 1.027677103 -0.027677103 The Player Bet is "short changed" even more than the Banker Bet.
But, if one lives by short run results and distributions, they can also die by them also.
Hey, the universe is a fair place to play.
IMO, this thread just proves that with a near unlimited bankroll, that most of us do not have access to, and near unlimited casino max bets allowed, one can find a short sample of Baccarat shoes to show a net win.
Remember in the short run variance dominates over house edge. A mathematical fact.
The longer one playes there comes a time when house edge dominates over variance and always to remain in the lead.
I would not use the Wizards actual Bac shoes, they are not real Baccarat shoes. He does not burn any cards and plays to 6 cards left in a shoe.
No casino anywhere would ever do this.
OP, to me, appears blinded by his short term results, possibly thinking they show what can actually be expected to happen in the long run.
But in reality, it is only by long run results and distributions can we accurately say what can be expected to happen in the short run.
2,600 shoes, "short run" samples. Nice data
260,000 shoes "a longer short run" samples. Priceless
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