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Haralabos „Bob“ Voulgaris ist ein kanadisch-griechischer Pokerspieler und professioneller Sportwetter. Haralabos „Bob“ Voulgaris (* 7. April in Winnipeg, Manitoba) ist ein kanadisch-griechischer Pokerspieler und professioneller Sportwetter. Haralabos Voulgaris (* ), kanadisch-griechischer Pokerspieler; Pantelis Voulgaris (* ), griechischer Filmregisseur; Petros Voulgaris (–). Abonnenten, folgen, Beiträge - Sieh dir Instagram-Fotos und -Videos von Haralabos Voulgaris (@haralabob) an. Haralabos Voulgaris has won 0 bracelets and 0 rings for total earnings of $ See all events where they placed in-the-money.
Uhr aufstehen, Zähne putzen, anziehen; Arbeit; Spiele des Tages. Marvel Puzzle Quest ☑ – “Big Enchilada” # mit Gamora (Guardians of the Galaxy). Veteran sports bettor and poker player Haralobos Voulgaris has crossed over with an NBA front office job. Is this the start of a trend? i don't think this qualifies as a black swan. Black swan is something that changes what you think is possible (examples: automation, cars, pc, the internet, 9/11).
Haralabos Voulgaris - Building a stack in stagesThe Hong Kong based entrepreneur wins the third largest first-place prize in poker history. But being a progressive organization and a problematic organization are not mutually exclusive concepts. He was the editor-in-chief of the poker magazine All In for nearly a decade, is the author of the book The Moneymaker Effect, and has contributed to such outlets as ESPN. Datenschutz-Übersicht Diese Website verwendet Cookies, damit wir dir die bestmögliche Benutzererfahrung bieten können.
Haralabos Voulgaris - Letztes Video mit Haralabos VoulgarisMost in the gambling space knew of Voulgaris, a year-old from Winnipeg, Manitoba, Canada, prior to this, but how and when individuals first heard of him could vary. Online auf cc. Pro gespieltem Diener gibt es einen Zauberspruch der normalerweise das gleiche Mana kostet wie der Diener aber in diesem Fall Manakosten von Null hat. But this is a new level of transparency in terms of an NBA franchise saying that sports betting is a legitimate sidecar to their business and that the best and most statistically advanced sports bettors can help them. Player Bio Sports bettor. Sometimes it takes three or four years to see if a non-conformist strategy works. Datenschutz-Übersicht Diese Website verwendet Cookies, damit wir dir die bestmögliche Benutzererfahrung bieten können. That is a new The Fallen Rise Of Download Pantheon. Search for: Search. For more information, please visit www. Die brauchte ich noch. Of course Cuban, an investor in eSports gambling platform Unikrn, is the one who brought Voulgaris aboard as a strategic thinker. Eric Raskin Eric is a go here writer, editor, and podcaster in the sports and gaming industries. The Swedish pro leads the https://actionoutdoors.co/casino-slots-online-free-play/spiel-pyramid.php field as they approach the money bubble. But just after a few have Weekend Aktie theme nearly as profitable months, Voulgaris returned to his old gig of breaking the bank. He likes to say that he had no mentors when it comes to https://actionoutdoors.co/online-casino-no-deposit-sign-up-bonus/hello-casino-50-freispiele.php gambling career, but in reality, he did. The first computer model put into the service of sports gambling dates to the late s, when Haralabos Voulgaris Kent, a former nuclear submarine engineer for a Pentagon contractor, Spielothek in Sankt Afra a program that predicted NFL, college football and college basketball scores. Pels' Bzdelik won't join team; no word on Gentry. First he traveled to Greece, visiting the hardscrabble villages -- Argos, Tripoli -- where his parents were born and raised before they immigrated, in their 20s, to Canada. Nevertheless, Voulgaris remembers those Vegas days fondly. Sports Top 10s. i don't think this qualifies as a black swan. Black swan is something that changes what you think is possible (examples: automation, cars, pc, the internet, 9/11). searching for positives here but I take some comfort in the fact that the one country getting the most credit for being aggressive in testing, South Korea, seems to. Veteran sports bettor and poker player Haralobos Voulgaris has crossed over with an NBA front office job. Is this the start of a trend? Haralabos Voulgaris Poker Spieler Profil. Die aktuellsten Informationen, Gewinne und Galerie. Uhr aufstehen, Zähne putzen, anziehen; Arbeit; Spiele des Tages. Marvel Puzzle Quest ☑ – “Big Enchilada” # mit Gamora (Guardians of the Galaxy). Caesars Entertainment Corporation is the world's most Beste Spielothek in Sandhayn finden diversified casino-entertainment company. The use of this website is governed by NV law. Caesars welcomes those that are of legal casino gambling age to our website. But NBA teams hiring stat nerds who have Haralabos Voulgaris their ahead-of-the-curve number crunching to become elite sports bettors? Datenschutz-Übersicht Diese Website verwendet Cookies, damit wir dir die click Benutzererfahrung bieten können. Eine insgesamt überaus spannende Geschichte. But if it works, it will surely become a trend in the NBA, not a one-off. It Bareinzahlung Meldung be a while before anyone should pass judgment on the Voulgaris hire. Nicht sehr erfolgreich, aber Tagesquest erledigt. Visit Review. Haralabos Voulgaris. Dreams are dealt on daily basis. Building a stack in stages Most in the gambling space knew of Voulgaris, a year-old from Winnipeg, Manitoba, Canada, prior to this, but how and when individuals first heard of him could vary. Insgesamt aber eine bessere Serie als viel anderer Kram wie z. There was his statistical analysis of scoring that showed more points were tallied in the second half of games than the first, allowing Voulgaris to exploit too-high first half lines link too-low second half lines until the bookmakers caught on. All Rights Reserved. Now Voulgaris is crossing another bridge of recognition, getting news articles written about Haralabos Voulgaris on ESPN. Call Nicht sehr erfolgreich, aber Tagesquest erledigt. Facebook Twitter. Search for: Search. But they are a model in at least one area. Die Gladbacher gewinnen.
For years, Voulgaris exploited this edge, playing both sides of it repeatedly. It is possible to say that it alone made him millions, combined with some keen observations regarding the game-management tendencies of three head coaches: Eddie Jordan, Jerry Sloan and Byron Scott.
I mean, it was a joke, it was so easy. In retrospect, he regrets only not having bet more aggressively during this halcyon period.
And lose big. He lost a third of his bankroll in the final month of the season alone. He took the second part of the NBA season off.
Mulling things over, he realized he needed a new approach. In essence, he decided he could no longer rely on his ability to suss out edges by his wits alone.
He needed the help of a new machine. Like baseball after sabermetrics, like Wall Street in the s, sports gambling over the past decade has undergone a quantitative revolution.
Nearly every successful sports bettor in the world now uses some form of computer model to assist in the handicapping of sporting events.
Like their brethren inside hedge funds, these gamblers are known as quants. Like the advanced trading systems operating on Wall Street, the models used by this technologically adroit breed of sports bettor are sometimes called black boxes.
Their models and their identities are shrouded in secrecy. Their algorithms are proprietary. And with each passing year, their sophistication mounts.
Their goal is nothing less than a sustainable edge. It is a paradoxical quest. The history of sports betting is littered with the corpses of gamblers who have enjoyed spectacular runs only to flame out just as quickly when their edges die.
When they see a gambler winning big, bookmakers correct their mistakes. Rival gamblers spot the same edges -- or copy them -- and bet the line back to plumb.
Indeed, while the wide availability of information in the Internet age and exponential increase in computer processing power have given rise to the sports gambling quant, those very same factors have made the pursuit of a sustainable edge that much more quixotic.
The marketplace evolves. The betting public, square though it may be, is better informed than ever before: Reams of team and player statistics reside in the cloud, awaiting download.
The bookmakers, meanwhile, have joined the quantitative battle. Some who formulate the opening lines only a few still do so; all the others simply copycat have engineered their own sophisticated models.
Cantor Fitzgerald, the Wall Street trading firm, started a division called Cantor Gaming in to operate a sportsbook business in Las Vegas, then acquired the consulting firm that had been the oddsmaker of record for the gambling world.
Andrew Garrood, a former high-finance quant whose previous experience included developing pricing models for interest rate derivatives at a London bank, designed it.
A slim six-footer with dark hair and dark eyes, Voulgaris talks fast. His eyes flit. He has the canny, quick-minded air of a merchant in a bazaar in the Eastern Mediterranean.
Since birth, he seems never to have lacked for self-confidence. He likes to say that he had no mentors when it comes to his gambling career, but in reality, he did.
When Voulgaris was 18, he took a gap year between high school and college. First he traveled to Greece, visiting the hardscrabble villages -- Argos, Tripoli -- where his parents were born and raised before they immigrated, in their 20s, to Canada.
Then he and his father made a trip to Las Vegas, where they lived for most of the next two months at Caesars Palace. The elder Voulgaris had risen from poverty to become a successful Winnipeg entrepreneur.
He developed commercial real estate; he owned and operated a Greek restaurant called Hermes -- the patron god of among other things games, sports and sudden enrichment.
His net worth grew into the millions; he also happened to be an avid gambler. He was also, his son now suggests, the consummate square.
There was no rhyme or reason to it. He was very, very superstitious. He would have dreams, with, like, numbers and colors in them, and that would influence him.
Nevertheless, Voulgaris remembers those Vegas days fondly. So he spent most of his time in the Caesars sportsbook. Because it was basketball season, he watched a lot of NBA, but with a purpose.
He paid attention to adjustments, the ebb and flow of the pace of play. He took notes on what he saw. He eavesdropped on his fellow gamblers.
At times they wagered together. His two months in Vegas -- and, really, the whole of his childhood -- were an education by counterexample.
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So he spent most of his time in the Caesars sportsbook. Because it was basketball season, he watched a lot of NBA, but with a purpose. He paid attention to adjustments, the ebb and flow of the pace of play.
He took notes on what he saw. He eavesdropped on his fellow gamblers. At times they wagered together.
His two months in Vegas -- and, really, the whole of his childhood -- were an education by counterexample. The first computer model put into the service of sports gambling dates to the late s, when Michael Kent, a former nuclear submarine engineer for a Pentagon contractor, wrote a program that predicted NFL, college football and college basketball scores.
At the time, though, he was going up against green-eyeshade bookmakers armed with nothing more than adding machines and intuition.
It was hardly a fair fight. Kent eventually moved to Las Vegas, where a betting syndicate -- the legendary Computer Group -- formed around his work, winning untold millions for its members well into the s.
Kent continued to develop models and bet on sports up until seven years ago. He is now retired, according to his lawyer, his whereabouts closely guarded.
Billy Walters, a core member of the Computer Group, has, however, stayed in the game; he now has a staff of consulting mathematicians who have built advanced predictive models to project scores.
Walters, Kent and their syndicates stood basically alone until the late s, when PCs became powerful enough to do the computation work required by predictive models, and more data became available to feed them.
Voulgaris was well aware of these predecessors. As a purely subjective bettor, Voulgaris had been placing perhaps individual wagers each season.
But after the disastrous end to the season, with his edge gone, he decided that he should increase his betting frequency by an order of magnitude but decrease the sums he was putting at risk on each wager.
It only made probabilistic sense. If his return on investment ROI fell from 20 percent to, say, 5 percent, that was okay. This new approach would require an enormous amount of research and analysis.
It would require projecting a score for each and every game in an NBA regular season -- all 1, A single human mind would be overwhelmed by the workload; only a computer program could handle it.
Voulgaris chose the right moment to start building a predictive model for NBA games. Four years earlier, in the season, the league had for the first time made play-by-play information available to the public, whereas before only box scores were published.
This trove of fresh information had no immediate practical value, except perhaps to assuage fan curiosity. But by , a large enough sample of data had accumulated to employ it with scientific rigor.
To help him build his model, Voulgaris required a specialist in the field, a mind trained in the codes of statistics, mathematics and computer science.
He started the search in It took him two years and six individual tryouts -- most of those interviewees were found online, Voulgaris says, and two of them landed in NBA front offices -- to find the right person.
The right person was a literal math prodigy. As a preteen, he had won national math contests; he had been the subject of awestruck articles in major newspapers.
He had scored a perfect on the math portion of the SAT when he was in seventh grade. At the time of his interview with Voulgaris, he had just quit a high-paying job designing algorithms for an East Coast hedge fund with a roster of Nobel-grade quant talent.
The relationship got off to a rocky start. To do so, they would have to break the game down into its basic unit, the possession.
Each simulation would therefore be a series of mini-simulations. First, the program would have to predict the number of possessions each matchup would likely produce.
Then it would need to judge the likeliest outcome of each possession: Score or no score; one point, two points or three; micro-forecasts ascertained from historical performance data.
It would also have to take into account a vast number of potential occurrences, each missed shot or successful rebound creating the possibility of still other occurrences -- a garden of explosively forking paths, as if in parallel universes.
The program would run tens of thousands of simulations for each matchup, discarding the most outlandish or improbable results. It would be a black box -- prophecy as output.
Between the statistical analysis, the algorithms and the programming, it took two years to create their first model, version 1.
Voulgaris continued to bet subjectively, marking time until the model was ready. When they finished, they called it Ewing. At some point in the process of breaking the game down into its component parts, they realized that Ewing would also require a kind of feeder model, one that could forecast the lineups a team would most likely use each game and the minutes each player was likely to see on the court.
They called that model Van Gundy. Van Gundy, in turn, required its own feeder tool, one that would track the overall roster patterns for each team, the trades, the draft picks, the midseason player-acquisition tendencies.
That database, less intricate than the other two, they at times jokingly referred to as Morey, as in Daryl Morey, the quant-minded GM of the Rockets.
Ewing, Van Gundy, Morey. Player, coach, GM. The names of each corresponding, of course, to the job of each tool.
Then in , Voulgaris spotted a loophole with how bookies were setting their half-time totals; exploited that loophole, and began wagering up to bets a day, totalling a million pounds each hour period.
Pretty soon he was washing his dirty bits in rose water, and taking regular nightcaps of Henri IV Dudognon Heritage Cognac.
Then in typical gambling fashion, he did his nuts after the bookies found the loophole and closed it. A few years later, Voulgaris realised he needed an algorithm to take up the slack.
He found a math wizard smoking reeds on a mountain somewhere, drafted him into his one-man band, and together they created Ewing.
Sports betting has always been one big game of cat and mouse between bookie and bettor, the former adjusting their methods as soon as they sense the latter has figured out a way to gain a consistent edge.
Even back in Bob said publicly that he was making less money every year, needing to keep increasing the amount of bets to maintain his margin.
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