The apex of volatility in the casino world is the high roller.
A “Casino High Roller” is relative to the typical player at the casino. A “twenty thousand dollar player,” i.e., a player capable of winning or losing $20,000 in a single visit to a casino, would be a high roller at a rural casino in Elko, Nevada. The same player at the Venetian in Las Vegas, however, would simply be a good player. This is because a $20,000 win or loss at the Venetian, which has a monthly gross gaming win of over $40 million, is statistically unimportant.
In contrast, it would be statistically relevant to a casino whose monthly gross gaming revenues were less than one million dollars.
The highest of the casino high rollers are the “whales” – players whose gambling habits are statistically relevant to even the largest casino companies.
Calling them casino high rollers is inadequate. They often tip more than some casino high rollers spend. They get virtually anything they want. Complimentary suites for an entourage of a dozen are not a problem. A side vacation to Disneyland is arranged gratis. A private jet to ferry the group around is always fueled and waiting.
Free everything – food, shows, gifts of diamonds and gold. All except the gambling. Here the credit lines can be ten million dollars, only because some credit lines must be established. Some bet a hundred thousand dollars a hand. They are simply called whales because they are the biggest catch in the sea.
Only a few casinos dare deal to a whale. He can make the casino rich, or he can make the casino poor. During one trip he can beat you out of ten million dollars, the next he might lose as much.
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Casino folklore includes a story about one casino that should not have been dealing with a whale.
The casino had a bankroll of only about $3,000,000. The whale hit a winning streak, laying claim to the entire bankroll. The casino, in essence, was busted. “No fear,” thought the operator, “the tables must turn and the casino will win it back before the night is over.”
Unfortunately, the night ended early for the casino.
The whale decided to cash out and fly home.
A Lear jet was waiting. Ironically, the casino was paying for the jet that was going to take the casino’s entire bankroll to the Land of the Rising Sun.
Out of desperation, the operator told the junket representative that he had to think of any way to keep the whale in Las Vegas.
“Please stay an extra night,” went on deaf ears.
The whale was going to leave a winner.
Then the representative came up with the idea.
He asked to accompany the whale on the jet, claiming to have to attend to business across the ocean.
“No harm,” thought the whale, “after all, the casino was paying for the jet.”
His entourage, with the representative in tow, loaded up the limousines, drove to the airport and boarded the plane.
Sitting on the runway, the representative mentioned to the whale that he heard something unusual coming from the jet’s engines and had a funny feeling about flying in the plane.
The whale, being superstitious, immediately wanted nothing to do with the Lear jet.
“No problem,” said the representative. The casino could have another jet available at daybreak. The whale could spend the night back at the hotel.
The whale had another plan. Unexpectedly, he suggested the group fly commercial as a trans-pacific flight was leaving that night from Los Angeles. It was an unusual request because whales rarely fly commercial.
A new dilemma confronted the representative. He knew that some airlines flew every hour to Los Angeles. The whale could have taken any of these flights.
Unaware of the frequency of flights, the whale allowed the representative to lead him to an airline that had only one flight to Los Angeles and a long line of persons waiting to check-in.
By the time the group got to the front of the line, the plane was sold out.
Perhaps, suggested the junket representative, the whale could go back to the hotel and take a morning flight. He agreed but indicated that he would not gamble.
The representative suggested instead that they go to dinner and a show. The whale saw no harm in that plan.
After a nice dinner and the show, the group made its way back to the hotel, through the casino and past the baccarat pit. The whale hesitated just long enough to get hooked. “Just a few hands before retiring for the night,” he thought.
A few hands turned into a few hours. Luck abandoned him and the law of large numbers became his tablemate. He soon lost back the entire $3,000,000 that he won and another $3,000,000 on top of that.
The casino was saved that day. The whale, temporarily discouraged, would return.
While we were sitting at the bar, an older man approached us and introduced himself in English with a heavy accent. For a moment, I was worried that he was one of the casino staff who was turning to us to shame us away. While the Martingale System is not prohibited by the rules of casinos around the world, no casino likes to lose, and certainly not by a method.
People deal in different ways with the primitive urge to get our literally mind-altering chemicals flowing: some will literally risk there lives in driving over the speed limit, extreme sports, others do so competing in business, while gambling introduces an entertainment fashion of dealing with risk.
According to , they discovered that in the brain chemistry of a pathological gambler, “near misses” actually caused the same brain activity as if they had won.
Casinos that deal with casino high rollers or even “midrange” players must understand volatility with their games.
A single-player, like a whale, playing a limited number of hands has a much greater chance of leaving the casino a winner than thousands of “grind” players that play the same amount of money but in smaller increments.
This volatility can hit even the largest casinos. For example, a few years back, the parent company of Caesars Palace had to publicly announce that the company was going to fall short of earnings expectations because of losses sustained in its baccarat pit, generally the domain of the casino high rollers.
Casinos have three options when faced with casino high rollers –
One strategy utilized by an Atlantic City casino in 1990 involved a “freezeout” game.
In February 2018, another Japanese whale who had been betting at very high levels at casinos around the world won $6 million from the Trump Plaza in Atlantic City and $19 million at the Diamond Beach Casino in Darwin, Australia.
Upon returning to the Trump Plaza in May, the casino accepted this whale’s challenge to play baccarat at $200,000 per hand on the condition that he do so until he was either ahead $12 million or behind $12 million.
This condition assured that the whale would have to play many hands to ultimately beat the casino and thereby reduced the game volatility and risk to the casino.
As it turned out, the game was terminated after 70 hours of play and the whale was behind by $9.4 million, although it is not clear who ended the challenge.
One way to see how this freeze-out game reduces the casino’s risk is to compute the probability that the player (or casino) will win if the game is carried to completion.
Calculations using a “gambler’s ruin” model (see below) show that the probability the player would be the ultimate winner in the above-described freeze-out is 18.1% compared to 81.9% for the casino.
That is, the player will win such a challenge less than one in five times.
Another way to look at the effect of the freeze-out is to consider the likelihood of various possible outcomes after 70 hours worth of baccarat, the approximate duration of the whale’s play.
Assuming a house advantage of 1.15% and wager standard deviation of 0.94 per unit (both of these figures are about the average of the respective player and banker values, ties included), for a bet size of $200,000 per hand, and 80 hands per hour, the expected value and standard deviation of the total casino win after 70 hours (5,600 hands) are:
EV(win)= $200,000 × ,5 600 ×.0115 = $12,880,000
With these values, standard normal distribution calculations can be used to obtain the probability of a win in any specified range.
These calculations show, for example, the probability that such a player will be behind by $12 million or more is 52.5%, while the probability this player will be ahead by $12 million or more is only 3.8%.
There’s about an 18% chance the player will be ahead at all after the 5,600 hands.
The following table gives a more complete picture of the likelihood of various outcomes.
Less than −24
−24 to −18
−18 to −12
−12 to −6
−6 to 0
0 to 6
6 to 12
12 to 18
18 to 24
24 to 30
30 to 36
36 to 42
More than 42
The figures in the above table show how the casino’s risk is reduced when a player plays such a large number of hands (in a negative expectation game). A freezeout game, of course, is intended to do just that.
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