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Can you imagine how many gamblers have won and lost money throughout history? We’re not just talking about hundreds or even thousands of people. Hundreds of millions of people, probably even billions, have gambled something to try to win.
Almost all of these gamblers have failed. With so many to choose from, making a list of the 10 most successful gamblers in history might sound like a herculean task.
As it turns out, there are fewer success stories than you might think. Here are my picks for the 10 most successful gamblers in history.
1 – Edward Thorp
Edward Thorp is a math professor who literally wrote the book on card counting. Beat the Dealer was the first book about card counting that mathematically demonstrated that you could beat the house edge in blackjack by tracking the ratio of high cards to low cards left in the deck.
He personally used his card counting techniques in Lake Tahoe, Las Vegas, and Reno, starting with a bankroll of $10,000 provided by his friend Manny Kimmel. Their first weekend at the tables, they won $11,000.
Thorp was also one of the first card counters to use disguises to prevent casinos from backing him off.
Keep in mind that he developed these card counting techniques in 1966, when a computer less powerful than your cell phone took up an entire room in a university somewhere. There were no personal computers to rely on.
He’s also known to have won at baccarat, backgammon, and roulette, using various other advantage techniques, some of which are now illegal.
2 – Billy Walters
Most people think of Billy Walters as the most successful sports bettor in the history of sports betting in all the popular Las Vegas casinos. He’s been winning sports bets consistently for 30+ years, which is certainly enough of a winning streak that it can’t be accounted for by a “lucky streak.”
His has a true rags-to-riches story, too. He grew up poor in Kentucky, and he was (more or less) orphaned before he was two years old. His grandmother had to raise him, as his father died and his mother ran off.
But he’s not just a famous sports bettor. Walters also owns multiple businesses, including car dealerships, a golf course, and a car rental franchise.
Not everything about his story is rosy, though. He was also convicted of insider trading and is serving five years in prison.
3 – Phil Ivey
When you’ve won 10 World Series of Poker bracelets, like Phil Ivey has, you can start to stake your claim at being the best poker player in the world. According to the Wikipedia page about Ivey, multiple sources have called him the best.
I don’t even have the time to list all of his poker tournament wins. There are just too many of them.
More interesting to my readers, probably, is the tale of how Phil Ivey got involved in an edge sorting scheme to make money. In 2012, Ivey won over $11 million playing baccarat in London.
But Crockfords, the casino where he was playing, refused to pay him because they caught him using an advantage play technique called “edge sorting.” The casino called it cheating, but Ivey claims that he was just making intelligent use of an imperfection in the playing cards in use.
Ivey had a similar experience with the Borgata, too. Litigation ensued. The courts ruled in favor of the casinos, agreeing that edge sorting constitutes cheating.
Who knows what Ivey will get into next?
4 – Chris Moneymaker
You gotta love someone with the last name of Moneymaker who goes on to win the Main Event in the World Series of Poker, which is what Chris Moneymaker did in 2003. It was a huge cultural event, because he won his entry into the WSOP on the internet. This resulted in a huge influx of players to online poker sites during the so-called “poker boom.”
You can read more about Chris Moneymaker in his autobiography, Moneymaker: How an Amateur Poker Player Turned $40 into $2.5 Million at the World Series of Poker.
One interesting note about the title of his autobiography, though. Moneymaker actually bought into the satellite tournament for $86, not $40. He just misremembered the details.
Moneymaker still plays poker and has continued to rack up winnings. He’s won over $3.5 million in his career, which includes the $2.5 million from his win at the WSOP.
5 – Don Johnson
Please don’t confuse this Don Johnson with the actor, who I love, but who isn’t a gambler (at least as far as I know).
The Don Johnson I’m referring to here is a businessman and a gambler who won over $15 million playing blackjack, and he did it WITHOUT using the counting cards technique in blackjack.
His run against the three Atlantic City casinos in 2011 and 2012 is historic now. It’s important to note that even though he wasn’t counting cards, Johnson was thinking like an advantage player. He insisted on blackjack rules that gave the house a small edge of only 0.26%.
He then negotiated a loss rebate deal with the casino that turned that small edge for the casino into an edge for the player. His losses were limited, which means that he didn’t risk much money compared to his potential win. Such a move is called a “positive expectation bet.”
It would be hard to duplicate Johnson’s success, as casinos are probably more sophisticated now, thanks to his large win.
6 – The MIT Blackjack Team
While I’m on the subject of blackjack, let’s include this group of students from MIT who counted cards as a team and took the casinos for millions. The MIT Blackjack Team isn’t a new organization either. They’ve been winning money from the casinos since 1979.
They recruited new players with flyers they posted at colleges throughout the United States, but they were selective about who they admitted to the team.
Prospective teammates had to pass a test, then they were thoroughly trained. Before being allowed to play with the team’s money, they had to demonstrate perfect play for the management of the team.
Besides traditional card counting techniques, the MIT Blackjack Team uses shuffle tracking and ace tracking techniques. It’s estimated that the techniques used by the team give them an edge over the casino in the 2% to 4% range.
They did not, however, invent the concept of team play in blackjack. Ken Uston is known for starting one of the first blackjack teams.
They even made a movie about the MIT Blackjack Team. It’s called 21 and stars Kevin Spacey. It’s an extremely loose adaptation of actual events, though.
7 – Doyle Brunson
Texas Dolly, which is Doyle Brunson’s nickname, retired in 2018, but his poker exploits are legendary. I’ve read that he invented Texas hold’em, although I don’t believe that’s actually true. He’s won the World Series of Poker twice, and he’s written multiple poker books, the most famous being Super/System.
Like Phil Ivey, who’s profiled earlier on this page, Brunson has a total of 10 WSOP bracelets.
The number of people who’ve actually won the Main Event at the World Series of Poker is breathtakingly small, by the way.
Brunson is a member of a club that only includes four people.
If you’ve never read it, Super/System is definitely worth checking out, even though much of the language is dated.
8 – Stanford Wong
500 slot machine. You’d be hard-pressed to find a better book about getting an edge at blackjack than Wong’s tome, Professional Blackjack. He owns his own publishing company, Pi Yee Press, and he’s a well-known gambling expert. Wong isn’t his real name, though, his real name is John Ferguson. He uses a pseudonym to stay one step ahead of casino security.
His last name has become a verb in the advantage play community. “Wonging” is when you count cards as an observer and don’t place a bet until you have an edge over the casino because of the count. It’s easy to understand why someone whose very name has become a verb used to describe a gambling technique would make a list of most successful gamblers in history.
9 – Richard Nixon
Richard Nixon was (obviously) a highly-flawed individual, but it’s hard to imagine leaving him off a list of most successful gamblers.
Even though he never won the World Series of Poker or any major poker tournaments, he’s a huge success story because he used his poker winnings to fund his political campaigns.
In the United States, becoming president is probably the pinnacle of success.
10 – Phil Hellmuth
My favorite poker player is Phil Hellmuth who has won 15 WSOP bracelets. His nickname is “the Poker Brat.” The first poker strategy book I ever read, in fact, was called Play Poker Like the Pros.
It wasn’t the best poker strategy book I’ve ever read, just the first, and I still credit it with giving me a fundamental understanding of starting hands in Texas hold’em and the different types of players.
He’s also made several instructional poker videos.
My favorite thing about watching Hellmuth play is how emotional he gets. I read somewhere that he claims that he externalizes those emotions so they don’t come out in play. In other words, it only looks like he’s on tilt.
Conclusion
That’s my list of the 10 most successful gamblers in history, but you might have some gamblers you like better for your own reasons. If that’s the case, please feel free to pony up a name or two for consideration in the comments below.
Introduction
Youtube Roulette Strategy
The Gambler's Fallacy is the mistaken belief that if an independent event has not happened in a long time, then it becomes overdue and more likely. It is also equally incorrect that if an outcome has happened a disproportionate number of times lately, compared to statistical expectations, then it becomes overheated and less likely to occur the next time. An example of this fallacious thinking might be that if the number 23 hasn't been drawn in a 6-49 lottery the last 100 games, then it becomes more likely to be drawn during the next drawing.
Many worthless betting strategies and systems are based on belief in the Gambler's Fallacy. I got the idea for writing about this after reading an 888 online roulette article by Frank Scoblete entitled How to Take Advantage of Roulette Hot Spots. In that article, Scoblete recommends taking a count of each outcome for 3,700 spins in single-zero roulette and 3,800 spins in double-zero roulette in the hunt for 'hot numbers.' Never mind that this would take about 100 hours to make this many observations, assuming the industry standard of 38 spins per hour.
Before going further, let me say that I strongly believe modern roulette wheels made by top brands like Cammegh are extremely precise and any bias would be minuscule compared to the house advantage. Thus, testing a modern roulette for bias would be a total waste of time. Now, testing a 30-year-old hand-me-down wheel in a banana republic might be another story. However, you're on your own if you win a lot of money from said casino and try to leave with it.
That said, if you track 3,800 outcomes in single-zero roulette, the average number of times any number will hit is 3800/38=100. I ran a simulation of over 1.3 trillion spins, counting how many times each number was hit, sorting the outcomes to find the most frequent number and how many times it was observed, and keeping a count of how many times the most frequent number in each simulation was seen.
Hottest Number in 3,800 Spins of Double-Zero Roulette
As a former actuary, I hate to use a layman's term like the 'hottest number,' but that is how gamblers talk so will go with that. That said, following are the results of the count of the hottest number in millions of 3800-spin simulations.
Count of the Hottest Number in 3,800 Spins on Double-Zero Wheel
Statistic | Value |
---|---|
Mean | 122.02 |
Median | 121 |
Mode | 120 |
90th Percentile | 128 |
95th Percentile | 131 |
99th Percentile | 136 |
99.9th Percentile | 142 |
Here is what the table above means in plain simple English. Mamma mia slot game.
- The mean, or average, count of the hottest number is 122.02.
- The median count of the most frequent number is 121. This means that over 50% of time the most frequent number appeared 121 times or less, as well as 121 times or more. This is possible because the probability of 121 observations is in both groups.
- The mode, or most count of the hottest number is 120, which happens 8.29% of the time.
- The 90th percentile is the smallest number such that the probability the count of the hottest number is at least 90% .
- The 95th percentile is the smallest number such that the probability the count of the hottest number is at least 95%.
- The 99th percentile is the smallest number such that the probability the count of the hottest number is at least 99%.
- The 99.9th percentile is the smallest number such that the probability the count of the hottest number is at least 99.9%.
Hottest Number in 3,700 Spins of Single-Zero Roulette
The results are very similar with 3,700 spins tracked on a single-zero wheel. Following is a summary of the results.
Count of the Hottest Number in 3,700 Spins on Single-Zero Wheel
Statistic | Value |
---|---|
Mean | 121.90 |
Median | 121 |
Mode | 120 |
90th Percentile | 128 |
95th Percentile | 131 |
99th Percentile | 136 |
99.9th Percentile | 142 |
The following table shows the full results of the simulation on both wheels. The two commulative columns show the probability that the count of the hottest number is the number on the left column or more. For example, the probability the hottest number in 3,700 spins of single-zero roulette is 130 or more is 0.072044.
Summary of the Count of the Hottest Number in 3,700 Spins of Single-Zero Roulette and 3,800 spins of Double-Zero Roulette
Count | Probability Single Zero | Cummulative Single Zero | Probability Double Zero | Cummulative Double Zero |
---|---|---|---|---|
160 or More | 0.000001 | 0.000001 | 0.000001 | 0.000001 |
159 | 0.000000 | 0.000001 | 0.000000 | 0.000001 |
158 | 0.000001 | 0.000001 | 0.000001 | 0.000001 |
157 | 0.000001 | 0.000002 | 0.000001 | 0.000002 |
156 | 0.000001 | 0.000003 | 0.000001 | 0.000003 |
155 | 0.000002 | 0.000005 | 0.000002 | 0.000005 |
154 | 0.000003 | 0.000009 | 0.000003 | 0.000008 |
153 | 0.000005 | 0.000013 | 0.000005 | 0.000013 |
152 | 0.000007 | 0.000020 | 0.000008 | 0.000021 |
151 | 0.000012 | 0.000032 | 0.000012 | 0.000033 |
150 | 0.000017 | 0.000049 | 0.000018 | 0.000051 |
149 | 0.000026 | 0.000075 | 0.000027 | 0.000077 |
148 | 0.000038 | 0.000114 | 0.000041 | 0.000118 |
147 | 0.000060 | 0.000174 | 0.000062 | 0.000180 |
146 | 0.000091 | 0.000265 | 0.000092 | 0.000273 |
145 | 0.000132 | 0.000397 | 0.000137 | 0.000409 |
144 | 0.000195 | 0.000592 | 0.000199 | 0.000608 |
143 | 0.000282 | 0.000874 | 0.000289 | 0.000898 |
142 | 0.000409 | 0.001283 | 0.000421 | 0.001319 |
141 | 0.000580 | 0.001863 | 0.000606 | 0.001925 |
140 | 0.000833 | 0.002696 | 0.000860 | 0.002784 |
139 | 0.001186 | 0.003882 | 0.001215 | 0.003999 |
138 | 0.001652 | 0.005534 | 0.001704 | 0.005703 |
137 | 0.002315 | 0.007849 | 0.002374 | 0.008077 |
136 | 0.003175 | 0.011023 | 0.003286 | 0.011363 |
135 | 0.004355 | 0.015378 | 0.004489 | 0.015852 |
134 | 0.005916 | 0.021295 | 0.006088 | 0.021940 |
133 | 0.007939 | 0.029233 | 0.008196 | 0.030136 |
132 | 0.010601 | 0.039834 | 0.010908 | 0.041044 |
131 | 0.013991 | 0.053824 | 0.014384 | 0.055428 |
130 | 0.018220 | 0.072044 | 0.018757 | 0.074185 |
129 | 0.023498 | 0.095542 | 0.024114 | 0.098299 |
128 | 0.029866 | 0.125408 | 0.030603 | 0.128901 |
127 | 0.037288 | 0.162696 | 0.038228 | 0.167130 |
126 | 0.045771 | 0.208467 | 0.046898 | 0.214027 |
125 | 0.055165 | 0.263632 | 0.056310 | 0.270337 |
124 | 0.064853 | 0.328485 | 0.066020 | 0.336357 |
123 | 0.074178 | 0.402662 | 0.075236 | 0.411593 |
122 | 0.081929 | 0.484591 | 0.082885 | 0.494479 |
121 | 0.087158 | 0.571750 | 0.087696 | 0.582174 |
120 | 0.088520 | 0.660269 | 0.088559 | 0.670734 |
119 | 0.084982 | 0.745252 | 0.084406 | 0.755140 |
118 | 0.076454 | 0.821705 | 0.075245 | 0.830385 |
117 | 0.063606 | 0.885312 | 0.061851 | 0.892236 |
116 | 0.048069 | 0.933381 | 0.046111 | 0.938347 |
115 | 0.032432 | 0.965813 | 0.030604 | 0.968952 |
114 | 0.019117 | 0.984930 | 0.017664 | 0.986616 |
113 | 0.009567 | 0.994496 | 0.008614 | 0.995230 |
112 | 0.003894 | 0.998390 | 0.003420 | 0.998650 |
111 | 0.001257 | 0.999647 | 0.001065 | 0.999715 |
110 | 0.000297 | 0.999944 | 0.000243 | 0.999958 |
109 | 0.000050 | 0.999994 | 0.000038 | 0.999996 |
108 or Less | 0.000006 | 1.000000 | 0.000004 | 1.000000 |
Count of the Hottest Numbers in 300 Spins in Double-Zero Roulette
What if you don't want to spend 100 hours gathering data on a single wheel? Some casinos are kind enough to give you, on a silver platter, the number of times in the last 300 spins the four 'hottest' and 'coolest' numbers occurred. The image at the top of the page shows an example taken on a double-zero wheel at the Venetian.
In 300 spins, the average number of wins on a double-zero wheel for any number is 300/38=7.9. As you can see from the image above, the four hottest numbers were 20, 5, 29, and 2, which occurred 15, 14, 13, and 12 times respectively. Is this unusual? No. In a simulation of over 80 billion spins, the most frequent number, in 300-spin experiments, appeared most frequently at 14 times with a probability of 27.4%. The most likely total of the second, third, and fourth most frequent numbers was 13, 12, and 12 times respectively, with probabilities of 37.9%, 46.5%, and 45.8%. So the results of the 'hottest' numbers in the image above were a little more flat than average.
The following table shows the probabilities of the four hottest numbers in 300 spins of double-zero roulette. For example, the probability the third most frequent number happens 15 times is 0.009210.
Count of the Hottest Four Numbers in 300 Spins on a Double-Zero Wheel
Observations | Probability Most Frequent | Probability Second Most Frequent | Probability Third Most Frequent | Probability Fourth Most Frequent |
---|---|---|---|---|
25 or More | 0.000022 | 0.000000 | 0.000000 | 0.000000 |
24 | 0.000051 | 0.000000 | 0.000000 | 0.000000 |
23 | 0.000166 | 0.000000 | 0.000000 | 0.000000 |
22 | 0.000509 | 0.000000 | 0.000000 | 0.000000 |
21 | 0.001494 | 0.000001 | 0.000000 | 0.000000 |
20 | 0.004120 | 0.000009 | 0.000000 | 0.000000 |
19 | 0.010806 | 0.000075 | 0.000000 | 0.000000 |
18 | 0.026599 | 0.000532 | 0.000003 | 0.000000 |
17 | 0.060526 | 0.003263 | 0.000060 | 0.000001 |
16 | 0.123564 | 0.016988 | 0.000852 | 0.000020 |
15 | 0.212699 | 0.071262 | 0.009210 | 0.000598 |
14 | 0.274118 | 0.215025 | 0.068242 | 0.011476 |
13 | 0.212781 | 0.379097 | 0.283768 | 0.117786 |
12 | 0.067913 | 0.270747 | 0.464748 | 0.457655 |
11 | 0.004615 | 0.042552 | 0.168285 | 0.383900 |
10 | 0.000017 | 0.000448 | 0.004830 | 0.028544 |
9 | 0.000000 | 0.000000 | 0.000001 | 0.000020 |
Total | 1.000000 | 1.000000 | 1.000000 | 1.000000 |
The next table shows the mean, median, and mode for the count of the first, second, third, and fourth hottest numbers in millions of 300-spin simulations of double-zero roulette.
Summary of the Count of the Four Most Frequent Numbers in 300 Spins of Double-Zero Wheel
Order | Mean | Median | Mode |
---|---|---|---|
First | 14.48 | 14 | 14 |
Second | 13.07 | 13 | 13 |
Third | 12.27 | 12 | 12 |
Fourth | 11.70 | 12 | 12 |
Count of the Coolest Numbers in 300 Spins in Double-Zero Roulette
The next table shows the probability of each count of the four collest numbers in 300 spins of double-zero roulette.
Count of the Coolest Four Numbers in 300 Spins on a Double-Zero Wheel
Observations | Probability Least Frequent | Probability Second Least Frequent | Probability Third Least Frequent | Probability Fourth Least Frequent |
---|---|---|---|---|
0 | 0.012679 | 0.000063 | 0.000000 | 0.000000 |
1 | 0.098030 | 0.005175 | 0.000135 | 0.000002 |
2 | 0.315884 | 0.088509 | 0.012041 | 0.001006 |
3 | 0.416254 | 0.420491 | 0.205303 | 0.063065 |
4 | 0.150220 | 0.432638 | 0.595139 | 0.522489 |
5 | 0.006924 | 0.052945 | 0.185505 | 0.401903 |
6 | 0.000008 | 0.000180 | 0.001878 | 0.011534 |
Total | 1.000000 | 1.000000 | 1.000000 | 1.000000 |
The next table shows the mean, median, and mode for the count of the first, second, third, and fourth coolest numbers in the 300-spin simulations of double-zero roulette.
Summary of the count of the Four Least Frequent Numbers on a Double-Zero Wheel
Order | Mean | Median | Mode |
---|---|---|---|
Least | 2.61 | 3 | 3 |
Second Least | 3.44 | 3 | 4 |
Third Least | 3.96 | 4 | 4 |
Fourth Least | 4.36 | 4 | 4 |
Count of the Hottest Numbers in 300 Spins of Single-Zero Roulette
In 300 spins, the average number of wins on a single-zero wheel for any number is 300/37=8.11. The next table shows the probability of each count of the four coolest numbers in 300 spins of double-zero roulette. For example, the probability the third most frequent number happens 15 times is 0.015727.
Count of the Hottest Four Numbers in 300 Spins on a Single-Zero Wheel
Observations | Probability Most Frequent | Probability Second Most Frequent | Probability Third Most Frequent | Probability Fourth Most Frequent |
---|---|---|---|---|
25 or More | 0.000034 | 0.000000 | 0.000000 | 0.000000 |
24 | 0.000078 | 0.000000 | 0.000000 | 0.000000 |
23 | 0.000245 | 0.000000 | 0.000000 | 0.000000 |
22 | 0.000728 | 0.000000 | 0.000000 | 0.000000 |
21 | 0.002069 | 0.000002 | 0.000000 | 0.000000 |
20 | 0.005570 | 0.000018 | 0.000000 | 0.000000 |
19 | 0.014191 | 0.000135 | 0.000000 | 0.000000 |
18 | 0.033833 | 0.000905 | 0.000008 | 0.000000 |
17 | 0.074235 | 0.005202 | 0.000125 | 0.000001 |
16 | 0.144490 | 0.025286 | 0.001624 | 0.000050 |
15 | 0.232429 | 0.097046 | 0.015727 | 0.001286 |
14 | 0.269735 | 0.259360 | 0.101259 | 0.021054 |
13 | 0.177216 | 0.382432 | 0.347102 | 0.175177 |
12 | 0.043266 | 0.208137 | 0.429715 | 0.508292 |
11 | 0.001879 | 0.021373 | 0.102979 | 0.283088 |
10 | 0.000003 | 0.000103 | 0.001461 | 0.011049 |
9 | 0.000000 | 0.000000 | 0.000000 | 0.000002 |
Total | 1.000000 | 1.000000 | 1.000000 | 1.000000 |
The next table shows the mean, median, and mode for the count of the first, second, third, and fourth hottest numbers in millions of 300-spin simulations of double-zero roulette.
Summary — Count of the Four Hottest Numbers — Double-Zero Wheel
Order | Mean | Median | Mode |
---|---|---|---|
First | 14.74 | 15 | 14 |
Second | 13.30 | 13 | 13 |
Third | 12.50 | 12 | 12 |
Fourth | 11.92 | 12 | 12 |
Count of the Coolest Numbers in 300 Spins in Single-Zero Roulette
The next table shows the probability of each count of the four coolest numbers in 300 spins of double-zero roulette. For example, the probability the third coolest numbers will be observed five times is 0.287435.
Count of the Coolest Four Numbers in 300 Spins on a Double-Zero Wheel
Observations | Probability Least Frequent | Probability Second Least Frequent | Probability Third Least Frequent | Probability Fourth Least Frequent |
---|---|---|---|---|
0 | 0.009926 | 0.000038 | 0.000000 | 0.000000 |
1 | 0.079654 | 0.003324 | 0.000068 | 0.000001 |
2 | 0.275226 | 0.062392 | 0.006791 | 0.000448 |
3 | 0.419384 | 0.350408 | 0.140173 | 0.034850 |
4 | 0.200196 | 0.484357 | 0.557907 | 0.406702 |
5 | 0.015563 | 0.098547 | 0.287435 | 0.521238 |
6 | 0.000050 | 0.000933 | 0.007626 | 0.036748 |
7 | 0.000000 | 0.000000 | 0.000001 | 0.000013 |
Total | 1.000000 | 1.000000 | 1.000000 | 1.000000 |
The next table shows the mean, median, and mode for the count of the first, second, third, and fourth coolest numbers in the 300-spin simulations of single-zero roulette.
Summary of the count of the Four Least Frequent Numbers on a Single-Zero Wheel
Order | Mean | Median | Mode |
---|---|---|---|
Least | 2.77 | 3 | 3 |
Second Least | 3.62 | 4 | 4 |
Third Least | 4.15 | 4 | 4 |
Fourth Least | 4.56 | 5 | 5 |
The least I hope you have learned from this article is it is to be expected that certain numbers will come up more than others. To put it in other words, it is natural that some numbers will be 'hot' and some 'cool.' In fact, such differences from the mean are highly predictable. Unfortunately, for roulette players, we don't know which numbers will be 'hot,' just that some of them almost certainly will be. I would also like to emphasize, contrary to the Gambler's Fallacy, that on a fair roulette wheel that every number is equally likely every spin and it makes no difference what has happened in the past.
Finally, it should not be interpreted that we give an endorsement to the 888 Casino, which we linked to earlier. I am very bothered by this rule in their rule 6.2.B. Before getting to that, let me preface with a quote from rule 6.1, which I'm fine with.
'If we reasonably determine that you are engaging in or have engaged in fraudulent or unlawful activity or conducted any prohibited transaction (including money laundering) under the laws of any jurisdiction that applies to you (examples of which are set out at section 6.2 below), any such act will be considered as a material breach of this User Agreement by you. In such case we may close your account and terminate the User Agreement in accordance with section 14 below and we are under no obligation to refund to you any deposits, winnings or funds in your account.' -- Rule 6.1
Let's go further now:
The following are some examples of 'fraudulent or unlawful activity' -- Rule 6.2
Next, here is one of many examples listed as rule 6.2.B
Most Successful Roulette Strategy
'Unfair Betting Techniques: Utilising any recognised betting techniques to circumvent the standard house edge in our games, which includes but is not limited to martingale betting strategies, card counting as well as low risk betting in roulette such as betting on red/black in equal amounts.' -- Rule 6.2.B
Let me make it perfectly clear that all betting systems, including the Martingale, not only can't circumvent the house edge, they can't even dent it. It is very mathematically ignorant on the part of the casino to fear any betting system. Why would any player trust this casino when the casino can seize all their money under the reason that the player was using a betting system? Any form of betting could be called a betting system, including flat betting. Casino 888 normally has a pretty good reputation, so I'm surprised they would lower themselves to this kind of rogue rule.
Most Successful Roulette Strategy Games Pc
Written by: Michael Shackleford