Frank Voulgaris had become among the most profitable activities players on the planet when, in 2004, he started initially to drop. It was not merely a streak of misfortune, a number of arbitrarily undesirable results that may last only such a long time. His advantage, he recognized, was removed. 
He'd started gambling on sports in the late 1990s, and within five years, before his 30th birthday had been reached by him, a fortune had been accumulated by Voulgaris. He says he regularly gambled a thousand pounds in one single day of NBA games. He deemed his mean to be percent that was approached 70 by an unholy winning percentage. A guy of no set tackle, he dated versions and visited the planet. He was also an accomplished poker participant, getting his way in to high-stakes activities from Vegas to Macau. He was basically leading the dream life of one's fundamental under-35 United States man. 
A professional in the NBA, his activities betting achievement was nearly totally the end result of a type of learned perspicacity, delivered of a talent for pattern recognition and the endurance to look at uncountable hours of public baseball. In gambling parlance, an edge could be sussed out by the man -- and in 2002, he found one which might line his pockets for decades. how many bookies set their halftime totals, the number of items obtained in each 1 / 2 of the overall game everything had to do. Each half, of class, is its distinct interval of play, and the fourth groups of close games may result in pointed foul-clogged exercises of free kicks, timeouts, quick play and, ergo, a rush of rating. But extremely, bookies at the moment didn't account for this fact; they just came at an overall total for the game and reduce that number approximately down the center, setting some 50 percent of the factors to the 50 percent and first half to the 2nd. 
Conditions to understand with this tale 
DARK BOX: amazing computer model and Any solution utilized by a gambler to create wiser choices. 
EWING THEORY: Phenomenon, first identified by Bill Simmons, where a group gets better when its overrated celebrity leaves. Called after Patrick Ewing. 
QUANT: A specialist in using information and statistics to create choices. 
SUBJECTIVE BETTOR: Any gambler who perhaps not use thorough quantitative evaluation to locate a benefit. 
TILT: To do something or guess irrationally out of disappointment over a reduction. 
DEFENSE-ADJUSTED VALUE OVER AVERAGE (DVOA ): Way of measuring a QB's effectiveness when compared with a category average QB, modified for condition and challenger. 
ANTICIPATED POINTS ADDED: Way of measuring just how many "expected points" -- points a group can get to report normally, provided the down and distance -- that the QB has added through his play, modified for clutch situations. 
FIRST-DOWN RATE: Percentage of plays where a QB acquired an initial down on running plays, perhaps not checking kneel-downs. 
For decades, this edge was exploited by Voulgaris, playing both sides of it over repeatedly. It's possible to express that it alone made him thousands, coupled with some keen observations concerning the game-management habits of three brain coaches: Eddie Jordan, Jerry Sloan and Byron Scott. 'Those were three instructors I'd nailed perfectly,' Voulgaris, today 37, says. 'I understood precisely what they certainly were likely to do. I am talking about, it was a laugh, it was so easy.' 
In hindsight, he regrets just lacking bet more strongly in this halcyon time. 'I believed it'd last forever,' he informs me 
He was then leasing in the Hollywood Hills for $12,500 per month when I visit him at the home. 'But it didn't'. In the course of time, the bookies did eventually get on. Reacting particularly to the cash they found Voulgaris minting -- however, for the absolute most part, they didn't yet know the personality of the gambler earning with such regularity -- they permanently changed the technique through which their NBA halftime totals were set by them. 
And that's when Voulgaris started initially to drop. And lose big. He dropped a third of his bankroll in the closing month of the 2003-04 period alone. Exasperated, his persistence gone, he started initially to 'tilt,' improving the amount of his bets within an attempt to get straight back what he'd previously lost. He'll perhaps not evaluate just how much he gave back once again to the bookies all informed as a period except to explain it. He got the 2nd area of the 2004-05 NBA season off. Mulling things around, he realized he needed a brand new strategy. Essentially, he decided he could no further depend on his capability to suss out sides by his senses alone. He needed the aid of a brand new device. 
Like football after sabermetrics, like Wall Street in the 1970s, a quantitative revolution have been undergone by sports gambling over the past decade. Virtually every effective activities gambler on the planet today uses some type of computer design to help in the handicapping of sporting activities. Like quants their brethren inside hedge resources, these players are known. Such as the high level trading methods working on Wall Street, the designs utilized by this highly adroit variety of activities gambler are occasionally called black boxes. Their details) (and their designs are shrouded in secrecy. Their calculations are amazing. And with each passing year, their elegance brackets. One experienced Vegas handicapper, who passes the pseudonym Steve Fezzik, laments, 'They've left me, and the others like me, at nighttime ages'. Monte Carlo methods, Bayesian methods, Markov stores, k-nearest neighbor methods, Chapman-Kolmogorov equations -- the important thing improvements in mathematical research, probability concept and predictive modeling have now been marshaled toward the item of defeating the bookies out of a cent. Their objective is nothing significantly less than a lasting advantage. 
It's a peculiar mission. The annals of sports gambling is tormented with the corpses of players who've appreciated magnificent runs simply to fire out just like rapidly when their sides die. Once they visit a gambler earning large, their mistakes are corrected by bookmakers. Competing players place exactly the same sides -- or duplicate them -- and guess the point back once again to plumb. 
Certainly, while rise has been given by the wide availability of information in the Internet age and exponential increase in computer processing power to the activities betting quant, these exact same elements have made the quest for a lasting advantage that far more quixotic. Industry grows. Than previously before: Reams of player and team data live in the cloud, expecting down load the gambling community, rectangular although it might be, is much better educated. The quantitative battle has been meanwhile, joined by the bookmakers,. Some who make the opening lines (just a few still do so; all of the the others merely copycat) have designed their very own advanced versions. Cantor Fitzgerald, the Wall Street trading firm, began a department named Cantor Gaming in 2008 to use a sportsbook company in Vegas, then obtained the consulting firm that were the oddsmaker of report for the gaming world. Cantor's computer design is known as Midas. It was designed by andrew Garrood, a former high-finance quant whose previous experience included developing pricing models for interest rate derivatives at a London bank,. 'It is hubristic to think that the advantage you've today will soon be yours forever,' he says. 'The market place may usually capture up.' 
Nothing of the, obviously, has ceased the world's sharpest quant gamblers from seeking. 
A slender six-footer with dark eyes and dark hair, Voulgaris speaks quickly. His eyes flit. He's the canny, quick-minded atmosphere of a business in a in the Eastern Mediterranean. Because delivery, he appears not to have lacked for self-confidence. He loves to say as it pertains to his betting profession that he'd no teachers, however in truth, he did. 
When Voulgaris was 18, he got a gap year between university and senior school. First he moved to Greece, browsing the hardscrabble towns -- Argos, Tripoli -- where his parents were born and raised before they immigrated, within their 20s, to Canada. (Voulgaris' legitimate first title is Haralabos.) He then and his father made a visit to Vegas, where they existed for many of the following 8 weeks at Caesars Palace. The parent Voulgaris had risen from poverty to be always a effective Winnipeg businessman. He created industrial actual estate; he managed and owned a Greek cafe named Hermes -- the patron god of (among other activities) activities, activities and unexpected enrichment. His net worth grew in to the millions; he also been a devoted gambler. Voulgaris' dad gamble on horses, activities of sorts, card games, chop games, small cap stocks. He was also, his daughter today indicates, the consummate block. 'He might simply endure a paper and obtain a sense for what he desired to guess. There clearly was no rhyme or reason to it. He was very, very irrational. He'd have goals, with, like, figures and colors inside them, and that would affect him'. Voulgaris states his father went broke twice, both situations delivering the household into near destitution. 'Do perhaps not create 'degenerate,' 'Voulgaris informs me. 'He was an 'defeated' gambler.' 
None the less, Voulgaris recalls these Vegas times lovingly. On the casino ground for his blackjack sessions; his father couldn't be joined by him he was underage and 18. Therefore he spent the majority of his amount of time in the Caesars sportsbook. He observed lots of NBA, since it was baseball period, but with an objective. He paid focus on changes, the flow and ebb of the speed of play. Notes were taken by him on which he found. He eavesdropped on his fellow players. Perhaps then, as a puppy gambler, he'd a poor view of the group: 'Many people who are in a sportsbook in Vegas spouting their views are morons'. He would be joined by his father during the night. Sometimes they gambled together. Younger Voulgaris remembers that his greatest guess the entire journey arrived on an Atlanta-Golden State sport, $100 on the spread, 'which I dropped'. They certainly were formative situations. His 8 weeks in Vegas -- and, truly, the entire of his youth -- were a training by counterexample. But while many individuals, if confronted with Voulgaris' early encounters, may have renounced the betting living with the fervor of a prohibitionist, Voulgaris appears to have learned a type of advantage from this. 'I discovered at a age that it's difficult to overcome the house,' he says. 'Unless you understand what you're doing'. By the full time younger Voulgaris was enrolled at the University of Manitoba, operating as a at the airport and gambling small quantities on the NBA and CFL, he and his brother -- two of four siblings in most -- were spending their parents' lease. 
The very first computer design put in the company of activities betting times to the late 1970s, when Michael Kent, a former nuclear sub manufacture for a Pentagon company, published a course that expected NFL, college basketball and college baseball ratings. London provided his calculations, written on punch cards, right into a hired mainframe that had less running pace than today's high-end notebooks. At that time, however, he was rising against green-eyeshade bookies armed with only adding products and instinct. It had been scarcely a reasonable battle. London in the course of time moved to Vegas, in which a gambling syndicate -- the renowned Computer Group -- created around his work, earning untold millions because of its people well in to the 1990s. London continued to produce designs and gamble on sports up to seven years back. He's now outdated, based on his attorney, his whereabouts carefully guarded. 'He is extremely reclusive,' the attorney, Steven Brooks, says. 
Billy Walters, a member of the Computer Group, has, nevertheless, remained in the game; he now has an employee of advanced predictive models have been built by consulting mathematicians who to challenge ratings. Walters, Kent and their syndicates stood ostensibly alone before late 1990s, when PCs became strong enough to do the function needed by predictive versions, and more information became open to supply them. 
Voulgaris was well conscious of these predecessors. Stats and predictive modeling had 'always intrigued me,' he says. 'I had always desired to have a type of types'. Through the duration of his career, Voulgaris have been what's referred to as a subjective gambler, although one so smart he became a whale. Two large bets -- equally for the Lakers to get the name in 2,000 and 1999 -- had turned about $80,000 in savings in to significantly more than $1 million, his first fat bankroll. As a purely subjective gambler, Voulgaris have been putting possibly each period to 350 person bets. But following the conclusion to the 2004 season, together with his advantage removed, he decided that he must improve his gambling consistency by an order of magnitude but reduce steadily the amounts he was placing in danger on each bet. Probabilistic sense was only made by it. Which was ok, If his reunite on investment (ROI) dropped from 20 percent to, state, 5 percent. Five percent of $50 million is preferable to 20 percent of $5 million (all numbers are hypothetical; Voulgaris is really as cagey as any gambler concerning the correct dimension of his bankroll). This new strategy would need a massive quantity of study and evaluation. It'd need predicting a rating for each and every sport within an NBA normal period -- all 1,230. Just one individual brain will be inundated by the workload; merely a software program can handle it. 
'If you consider it,' he states, 'you'd be considered a servant to the overall game of baseball otherwise.' 
The right moment was chosen by voulgaris to begin creating a predictive model for NBA games. While before only container ratings were printed, four decades earlier, in the 2002-03 period, the category had for the very first time made play-by-play data open to the general public. That chest of new data had no immediate practical importance, except possibly to assuage lover attention. But by 2006, a sizable enough sample of information had accumulated to use it with scientific rigor. 
To greatly help him develop his design, Voulgaris needed a professional in the area, a mind been trained in the rules of data, math and compsci. The search was started by him in 2005. It took six personal tryouts and him two years -- the majority of these interviewees were discovered on the web, Voulgaris states, and two of these arrived in NBA entrance practices -- to obtain the proper person. The best person was a literal l / z prodigy. As he'd gained national l / z contests; he'd been the topic of awestruck posts in major papers, a preteen. When he was in seventh grade he'd obtained an ideal 800 on the l / z part of the SAT. At that time of his meeting with Voulgaris, a high-paying job had been just quit by him creating methods for an East Coast hedge fund with a lineup of Nobel-grade quant expertise. Voulgaris doesn't want the title of the math whiz come in print, possibly out of concern that some competitor may make an effort to discover the whiz -- let's call him the Whiz -- and poach him. He informs me that he's lately created the Whiz his companion, when I visit Voulgaris at his leasing in the Hollywood Hills. '50-50'? I ask. 
The connection got off to a bumpy start. In 2007 the Whiz ostensibly spun his wheels trying to construct a product by himself throughout his first offseason in Voulgaris' utilize. 'He was positive that he'd have the ability to develop some thing by the full time baseball period started,' Voulgaris states, 'and he simply flailed absent'. Voulgaris chose to reduce the lead, and together the two decided that what they needed was a plan that might simulate a game of baseball between any two groups at any stage in a period and throw out an estimated rating. They'd need certainly to split the game into its standard system, the ownership, to do this. Each simulator might consequently be considered a number of mini-simulations. First, this program would need certainly to forecast the amount of belongings each game would probably create. Then it'd need certainly to decide the outcome of each possession: Score or no score; one time, two factors or three; micro-forecasts determined from historic performance information. It'd also need to consider a huge quantity of possible occurrences, each missed chance or effective recovery making the chance of still other occurrences -- a yard of explosively forking pathways, as though in parallel universes. This program might operate thousands of simulations for every game, removing the absolute most extravagant or unbelievable outcomes. As result It'd be considered a dark field -- prediction. 
Between the development, the calculations and the mathematical evaluation, it took 2 yrs to produce their first design, version 1.0. Voulgaris continued to guess subjectively, marking time before design was ready. They named it Ewing, when they finished. (It was not called after Patrick, per se, but after the 'Ewing Theory,' a proposed trend once defined by Bill Simmons under which a team enhances when its overrated celebrity leaves the franchise.) Sooner or later in the procedure for breaking the game into its component elements, they recognized that Ewing would require also a type of feeder design, one that might predict the lineups a team would most likely use each game and the moments each participant was likely to see on the judge. They named that design Van Gundy. Its own feeder tool was required by van Gundy, in turn,, the overall roster patterns that would be tracked by one for every group, the deals, the draft selects, the midseason player-acquisition habits. That repository, less elaborate than the other two, they sometimes jokingly known as Morey, as in Daryl Morey, the quant-minded GM of the Rockets. Ewing, Van Gundy, Morey. Participant, mentor, GM. The titles of each related, of course, to the task of each device. 
In summer time of 2007, Voulgaris and the Whiz got Ewing on a dry run, screening the simulation against activities from the prior period to observe how precisely it might retroactively 'forecast'. But some thing cool was occurring. Every rating the design spit out was greater than the typical lines created by the bookies -- the conventional by that they could be knowing themselves. The design, quite simply, was suggesting that Voulgaris guess the over in most single sport. After months used poring through signal, the flaw was finally caught by Voulgaris. When setting factors in the design, the Whiz had somehow thought that the league-average free throw proportion was 88 percent, when actually it's around 75 percent -- a ridiculous error on the section of the Whiz, whose baseball understanding at the moment was virtually nil. In more complex types of Ewing, this primitive free throw method would be jettisoned by them. Today, says Voulgaris, they've modified Ewing so that it anticipates the ball player probably to be fouled on any given individual ownership, then uses that player's particular free throw percentage to operate its simulator. 
If Ewing includes a key gravy, it's only this kind of thing: Finding scraps of data, diced and sliced a lot more carefully, that show some thing about how exactly a method -- in this situation, a game title of professional baseball -- may run as time goes on. The important thing would be to find these leftovers which are more predictive than the others. Situation in point: Among Ewing's most significant features would be to assign values to people. Each person has two values -- as an opponent and on crime -- and these values are continuously changing. Ewing will even immediately change the worthiness based on who's protecting whom. Okla City's Kendrick Perkins 'is more useful guarding Dwight Howard than he's guarding Shane Battier,' Voulgaris says. Why? 'Because Howard is just a distinctive participant, and you will need a large to protect him'. Similarly, based on Voulgaris, Celtics seven-footer Jason Collins is 'ineffective every sport, except when he's protecting Howard, which he does really, really well'. Participant beliefs also change across a lifetime career and a period. Therefore Voulgaris and the Whiz produced, for Ewing, an aging element. Further number-crunching unmasked that different kinds of people, based on placement and size, may achieve their zeniths at different ages and on trajectories that are possible to forecast. Ewing now grasps the contour of the lifetime of the purpose guard, the capturing guard, the forwards, the middle -- and anticipates the expiration and downslope date of each NBA career. 
When Ewing went live with real gambling for the very first time toward the finish of the 2008 period, Voulgaris wasn't yet obsessed about its forces. To begin with, his subjective-gambler part was not prepared to surrender get a grip on to a device. For another, the design was executing unremarkably using their income on the line -- right above the break-even line. But Voulgaris had some thing in your mind, 'an extended project, such as for instance a six-month-long project, to design a particular part of the overall game of baseball'. The Whiz and he used the offseason seeking this mystical task, the particular character which Voulgaris won't examine. 'I do not actually wish to allude as to the it could be,' he says when I push him, 'because I do not believe other people is performing such a thing like it.' 
By 2009, when they'd included this mystical extra design to Ewing's internal functions -- edition 2.0 -- they began producing bets on the basis of the ratings it created following the All-Star break. 'We simply, like, smashed the 2nd 1 / 2 of the season,' Voulgaris says. Since that time, as each future period has passed, Voulgaris' self-confidence in Ewing has improved. Therefore also has got the regularity of his betting. In a period, he now frequently places along more than 1000 personal bets. 'I mean, I wouldn't wish to stay here and brag,' he says. 'But this really is actually, like, the best thing ever as it pertains to activities betting.'
Despite thinking herself to stay control of the world's most deadly betting system, Voulgaris, in the centre of Ewing's 2nd period at work, not quite went from everything. It could come as little shock to find out that Voulgaris has occasionally imagined getting the overall director of an NBA business. 'This will seem truly arrogant,' he says. 'But the entire process' -- of learning the game of baseball with the end of defeating the publications -- 'has brought me to think that I'd manage to assembled a much better group than just about any general manager in the category. Or even perhaps all.' 
In search of this, in 2010 Voulgaris broke among the primary principles of the activities bettor: He wanted promotion, doing interviews with betting and NBA-centric sites. It had been a determined move, just like every thing Voulgaris does. As a quantitative baseball specialist he desired to burnish his bona fides. And it worked. Even though that he was quitting an annually revenue that he claims would dwarf all however the highest-paid executive in the NBA -- who's Jerry West of Golden State, Voulgaris is quick to explain -- he ended betting and signed an agreement throughout the 2009-10 period with one of the co-owners of an NBA business to consult on issues of participant purchase and lineup assemblage. Alluring pledges were made certain by the owner, according to Voulgaris,. 'He was like, 'You may be my GM someday; we are able to do that together'. It had been this entire spiel.' 
Names won't be named by voulgaris, or will he say how he first met this specific operator. He's had connection with different NBA executives; he's satisfied, for instance, Daryl Morey. (Voulgaris has assured me that it was not the Rockets he contacted for.) As his transfer to the NBA indicates, there's currently much common currency between your logical function of the activities gambler and that of a growing amount of professional groups' entrance offices; one of the principle objectives of both, all things considered, would be to price people. These two worlds have been brought by the quant revolution in sports at large closer together than previously, at least intellectually. Every cold temperatures at the MIT Sloan Sports Analytics Conference, people of the group overtly intermingle with GMs and their employees of wonkish experts. 
'If I were the overall director of a' says Voulgaris, who'll be joining the Sloan meeting for the 2nd period, in early March, 'and I'd some body building designs and doing quantitative function -- if that individual couldn't defeat the Vegas point, his design wouldn't be worth such a thing in my experience'. The main reason? The way he considers it, the very best and probably the only way to check one's theories about participant worth is to simply take these theories to industry. And the only real industry that's fluid with cash moves in the millions may be the gambling line, where views have a regular cost. 'Over tens and thousands of examples of activities, our design is continually being examined on whether it's correct or wrong,' Voulgaris says. 'If we're incorrect, we lose money. If we're right, we create money.' 
Months were spent five by voulgaris employed by the NBA business. He says on a few investments he recommended his co-owner client. But he also thought omitted, kept at arm's length. 'It was like when someone set a problem before you and stated, 'Solve this'. However, to be able to resolve it, you needed this unique key they weren't likely to provide you'. He seems since for all of the impetus of the quant innovation in the NBA, there might be a glass roof for its accurate professionals. 'There is just a actual disconnect between your baseball people, the company people and the -- for insufficient a much better term -- stats geeks. The numbers geeks don't have any possibility of actually getting general supervisors. They're simply getting used as a source to quarry'. At the end of the contract's phrase, in summer time of 2010, Voulgaris determined to end his NBA flirtation and return to being truly a gambler. 
In reality, however, what Voulgaris says he missed many throughout his five-month break from betting was the risk itself: 'I was bored out of my pine'. Small question, provided the frisson of his gambling periods. Throughout the NBA normal period, which he breaks between numerous United States and worldwide ports of call, he watches as numerous activities as he may, clocking over 80 hours per week. Regardless of where he's -- Manhattan Project or, state, Monaco, where he rents a flat -- his usual position during his game-day betting changes is supine on a sofa, feet up on an ottoman, human anatomy not quite outside, a MacBook Pro sleeping between his lap and his legs, Ewing's software on the laptop's screen, his pet (a Jack Russell called Coltrane) lying under his feet. He an average of encounters a wall against which increases a stand of Samsung flat-screens: a 65-inch main TELEVISION flanked on both sides by straight rates of three 40-inch displays, each showing a game title. From here, he orchestrates his wagering: Ewing spits out an estimated rating and several representing its degree of confidence for every possible bet. Any projection above a particular limit on that assurance size Voulgaris may guess, although he occasionally changes Ewing's tips. While seeing the activities on although he does greatly, which he's set hundreds and possibly thousands perspiration it on the interior he displays no feeling, he says. In his terms, 'You'd don't have any possibility of telling whether I was winning or losing'. Throughout the period, he'll view activities, guess, eat and rest -- for the reason that order worth focusing on -- and do little else. Food doesn't be consumed by him after dusk, In which to stay condition. This can be a life style nearly favorable to relationships: He partially features his recent split with a partner of five decades to his odd hours throughout the period. 
Despite it all, Voulgaris encounters exactly the same problem that all sharps face: the durability of his advantage, regardless of how advanced the design that creates it. When he came ultimately back to gaming for the 2010-11 period, Voulgaris states Ewing clocked an ROI in excess of 6 percent. By 2011-12, it'd dropped to 5.14%. Obviously, the lockout-shortened period designed for a weird outlier year, and Voulgaris and the Whiz had to regulate. Ostensibly they deduced a different quantity from the ratings Ewing offered them, attempting to account fully for the corrosion that kept scoring low at the start of the season, and the pressurized variety of activities that later tired people -- and also kept scoring low -- toward the conclusion of the season. However the limitations of Ewing were obvious to Voulgaris. Currently he thought the inevitable. 'We are most likely already at the point whereby my power to earn money is lowering every year,' he says. 'Every moment you create a guess, you're training the folks getting the bets. They're studying the proper way to create a point. They number s -- out centered on that which you have previously thought out.' 
If, every year, his prices are failing, Voulgaris should boost the quantity of bets so as to account fully for that slippage, just like he did when he moved from a subjective to a quant strategy he makes. The Whiz and he fine-tune its ability to be incrementally improved by Ewing in a ceaseless effort to throw out forecasts that bring high-enough self-confidence parts. 'You aren't actually increasing it therefore much as attempting to stop it from getting worse'. Such as for instance a account manager, he must deal with the quantity of bets he makes, the fine line between ROI and the organic unpredictability brought on by the arbitrary. The more he bets, the more he surfaces wreck. In one single unguarded moment, he informs me, 'You cannot do that forever.' 
The Whiz and he will work in order to complete a few possible modifications to Ewing, integrating offseason participant actions and modifying the model to account fully for the information made by the 2011-12 strategy, when I visit him in LA over the summertime. The device will wind up reacting in an exceedingly predictable way: Its prices will continue steadily to thin. By the center of the 2012-13 period, Voulgaris is only going to state, 'It has been among the harder years.' 
Voulgaris has merely a fuzzy attention by himself future; Ewing's simulations can't help with this kind of conjecture. Perhaps, he muses at one time, it'll be that activities betting is sometime legalized throughout the U.S., which will release a ton of rectangular cash from informal gamblers, tremendously raising the liquidity in the industry. The limitations that bookies put on bets would improve and so would Ewing's advantage. Because it is achievable for him to be the chance makes Voulgaris as giddy. 'That might actually be, like, a good thing ever,' he says. He wonders whether he might turn into a gambler similar to the Brit Tony Bloom, whose predictive football design gained him enough quid to get the recently marketed Brighton Hamilton Academical. 'It is great to possess objectives in life, regardless of how unrealistic,' Voulgaris states with a wry smile. And with enough betting profits, he says he'd have just one objective. 
'I might purchase a professional hoops team'.

Guest Post By: David Andrews