Wild Casino Review

The House Edge of Wild Casino Review

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Notes:

a

Atlantic City rules are 8 decks, dealer stands on soft 17, player may double on any two cards, player may double after splitting, one card to split aces, no surrender.

b

Las Vegas single deck rules are dealer hits on soft 17, player may double on any two cards, player may not double after splitting, one card to split aces, no surrender.

c

Assuming player plays the house way, playing one on one against dealer, and half of bets made are as banker.

d

Yet to be determined.

e

Standard deviation depends on bet made.

f

Slot machine range is based on available returns from a major manufacturer

g

Slot machine standard deviation based on just one machine. While this can vary, the standard deviation on slot machines are very high.

House Edge

The house edge is defined as the ratio of the average loss to the initial bet. The house edge is not the ratio of money lost to total money wagered. In some games the beginning wager is not necessarily the ending wager. For example in blackjack, let it ride, and Caribbean stud poker, the player may increase their bet when the odds favor doing so. In these cases the additional money wagered is not figured into the denominator for the purpose of determining the house edge, thus increasing the measure of risk.

The reason that the house edge is relative to the original wager, not the average wager, is that it makes it easier for the player to estimate how much they will lose. For example if a player knows the house edge in blackjack is 0.6% he can assume that for every $10 wager original wager he makes he will lose 6 cents on the average. Most players are not going to know how much their average wager will be in games like blackjack relative to the original wager, thus any statistic based on the average wager would be difficult to apply to real life questions.

 

The conventional definition can be helpful for players determine how much it will cost them to play, given the information they already know. However the statistic is very biased as a measure of risk. In Caribbean stud poker, for example, the house edge is 5.22%, which is close to that of double zero roulette at 5.26%. However the ratio of average money lost to average money wagered in Carribean stud is only 2.56%. The player only looking at the house edge may be indifferent between roulette and Caribbean stud poker, based only the house edge. If one wants to compare one game against another I believe it is better to look at the ratio of money lost to money wagered, which would show Caribbean stud poker to be a much better gamble than roulette.

 

Many other sources do not count ties in the house edge calculation, especially for the don’t pass bet in craps and the banker and player bets in baccarat. The rationale is that if a bet isn’t resolved then it should be ignorred. I personally opt to include ties although I respect the other definition.

 

Element of Risk

For purposes of comparing one game to another I would like to propose a different measurement of risk, which I call the “element of risk.” This measurement is defined as the average loss divided by total money bet. For bets in which the initial bet is always the final bet there would be no difference between this statistic and the house edge. Bets in which there is a difference are listed below.

 

Game Bet House Edge Element

of Risk

Blackjack Atlantic City rules 0.43% 0.38%

Bonus 6 No insurance 10.42% 5.41%

Bonus 6 With insurance 23.83% 6.42%

Caribbean Stud Poker 5.22% 2.56%

Casino War Go to war on ties 2.88% 2.68%

Double Down Stud 2.67% 2.13%

Let it Ride 3.51% 2.85%

Spanish 21 Dealer hits soft 17 0.76% 0.65%

Spanish 21 Dealer stands on soft 17 0.40% 0.30%

Three Card Poker Ante & play 3.37% 2.01%

Wild Hold ’em Fold ’em 6.86% 3.23%

Standard Deviation

The standard deviation is a measure of how Wild Casino Review volatile your bankroll will be playing a given game. This statistic is commonly used to calculate the probability that the end result of a session of a defined number of bets will be within certain bounds.

The standard deviation of the final result over n bets is the product of the standard deviation for one bet (see table) and the square root of the number of initial bets made in the session. This assumes that all bets made are of equal size. The probability that the session outcome will be within one standard deviation is 68.26%. The probability that the session outcome will be within two standard deviations is 95.46%. The probability that the session outcome will be within three standard deviations is 99.74%. The following table shows the probability that a session outcome will come within various numbers of standard deviations.

 

Number Probability

0.25 0.1974

0.50 0.3830

0.75 0.5468

1.00 0.6826

1.25 0.7888

1.50 0.8664

1.75 0.9198

2.00 0.9546

2.25 0.9756

2.50 0.9876

2.75 0.9940

3.00 0.9974

3.25 0.9988

3.50 0.9996

3.75 0.9998

I realize that this explanation may not make much sense to someone who is not well versed in the basics of statistics. If this is the case I would recommend enriching yourself with a good introductory statistics book. There is also a good definition of the term and examples here.

 

Hold

Although I do not mention hold percentages on my site the term is worth defining because it comes up a lot. The hold percentage is the ratio of chips the casino keeps to the total chips sold. This is generally measured over an entire shift. For example if blackjack table x takes in $1000 in the drop box and of the $1000 in chips sold the table keeps $300 of them (players walked away with the other $700) then the game’s hold is 30%. If every player loses their entire purchase of chips then the hold will be 100%. It is possible for the hold to exceed 100% if players carry to the table chips purchased at another table. A mathematician alone can not determine the hold because it depends on how long the player will sit at the table and the same money circulates back and forth. There is a lot of confusion between the house edge and hold, especially among casino personnel.

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