Haralabos Voulgaris has won 0 bracelets and 0 rings for total earnings of $ See all events where they placed in-the-money. Mit Standort twittern. Du kannst deine Tweets vom Web aus und über Drittapplikationen mit einem Standort versehen, wie z.B. deiner Stadt oder deinem. Haralabos VoulgarisVerifizierter Account. @haralabob. Head of Quantitative Research and Something or Other Dallas Mavericks. Irresponsibly.
Haralabos VoulgarisIn einem wirklich beeindruckenden Blog erzählt der kanadische Highroller und Sportwetter Haralabos Voulgaris über seine Erfahrungen mit FullTilt Poker, Ray. Haralabos Voulgaris has won 0 bracelets and 0 rings for total earnings of $ See all events where they placed in-the-money. Mit Standort twittern. Du kannst deine Tweets vom Web aus und über Drittapplikationen mit einem Standort versehen, wie z.B. deiner Stadt oder deinem.
Haralabos Voulgaris I want to improve my betting VideoHaralabos Voulgaris, the NBA's Greatest Ever Bettor - People Who Got Rich from Sports Betting
Download as PDF Printable version. Deutsch Edit links. Information accurate as of 3 December My Value Betting Journey from 1k to 2k.
Matias Interview - from 5k to 20k. Jonas Gjelstad Documentary Series - from 10k to 1m. Bob made all of his sports betting fortunes from Basketball.
Losing a third of his bankroll in one month 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.
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Email address. 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. Help Learn to edit Community portal Recent changes Upload file.
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