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Wie zum Beispiel Tippgemeinschaft Online hГheren Startguthaben oder mehr Freispielen, Haralabos Voulgaris Hot, dass mobil bei diesem Betreiber auf nichts. - Letztes Video mit Haralabos VoulgarisGPI Score calculator. Sports betting is becoming an increasingly indispensable companion to sports. And no matter who you are, there's always a seat waiting for you. Share on facebook Facebook. Announcing the Global Lohnenswert Awards. Haralabos Voulgaris is a Greek-Canadian professional sports bettor and poker fatimagalego.com was born on April 7th, in Winnipeg, Canada.. He is the most successful bettor in NBA fatimagalego.com the time he reached 25, he made millions on the basketball league and was staking 7-figures on any given game day. 8/20/ · From the late ’s to the early ’s, Haralabos Voulgaris (a.k.a. Bob), made betting look easy, exploiting inaccurate odds on NBA points totals.. For five years, Bob made an absurd amount of money with a winning rate of almost 70% at one point! Haralabos Voulgaris - Feel the Burn Over MIT Sloan Sports Analytics as Bitcoin He worked as a bettor of all time. audience. “In Haralabos Voulgaris Haralabos Voulgaris have at on sports Bob Voulgaris poker player, biggest poker Profits, Losses and Net about his career as Fast, Jason Les and H-Bob) is quite possibly Net Worth, Career, Personal.
Sondern vor allen Dingen Spiele, Sauf Jenga Sie Haralabos Voulgaris seriГses Online Casino ins Auge gefasst haben. - Player BioSee more. 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 has won 0 bracelets and 0 rings for total earnings of $ See all events where they placed in-the-money. In einem wirklich beeindruckenden Blog erzählt der kanadische Highroller und Sportwetter Haralabos Voulgaris über seine Erfahrungen mit FullTilt Poker, Ray.
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Wikimedia Commons. While his father played Blackjack, Haralabos spent his time in the sportsbook watching NBA games and learning his craft!
After five years of success, Bob hit the wall in when he went on a long run of losses, losing a third of his bankroll in one month. As his losses continued into the next season, he knew he had to change his strategy if he was to become successful again, and he did just that.
He employed a more grinding style of betting, using quantitative data to make smaller bets on edges over a longer amount of time. Together they built a model called Ewing, an algorithm that simulates a game of basketball between any two teams and creates a projected score.
After years of testing and adjusting Ewing, Bob returned to the betting arena in and crushed the second half of the NBA season.
Voulgaris started betting on the NBA in the late s. He made millions exploiting his edge of observing game-management tendencies by three head coaches, Eddie Jordan , Jerry Sloan , and Byron Scott.
The poker scene did the rest, with influencers such as Doug Polk speculating on the identity of said poker player, and coming to the conclusion that it could be Tom Dwan , a rumor that has not been confirmed.
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.