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Special Olympics Belgium athlete Cedriek Beerten (No. Olympics Unified Sports since , supporting the growth and expansion of Also US colleges and universities have Special Olympics College Clubs on From Zimbabwe to Brazil and from California to India, the Leos continue to amplify the voice of athletes. Top Events; Australia v India; NBA; NFL; Top Football; Prem; Copa Lib; UCL; UEL ; NCAAF; Rugby Tests; A-League . Basketball Hall of Fame: Meet the Class of play Presented at ceremony by: Gary Payton (Class of ) First African-American scholarship athlete at University of North Carolina. This article may require cleanup to meet Wikipedia's quality standards. The specific problem is: inconsistent formatting Please help improve this article if you can. (January ) (Learn how and when to remove this template message). in sports is listing and describing the major sporting events from the current year: by . European Athletics Indoor Championships.
College team defeated Calicut university campus engineering college and Govt Medical College Calicut and entered in the Semi Final of the tournament. All Kerala Ayyappan Hockey Tournamnet: College Hockey team participated in the 42nd All Kerala C. Organisation Calicut University Judo Competition: Department conducted Calicut University inter collegiate judo men and women championship on 31st Oct and 1st Nov Forteen colleges affiliated to Calicut University were participated in the tournament.
Sathish K P was the observer of the meeting. Meeting was held on at College seminar hall on Twenty members were present at the meeting in which all the agenda points were discussed. P Ayyappan, a pre-final year student of Mechanical Engineering Branch, who excelled in curricular and extra-circular activities alike.
P Ayyappan was one of the most outstanding students of GEC, with an extra ordinary personality, with an exemplary character, excellent academic performance and multifaceted extra-curricular activities. In addition to being the Second Rank holder of the pre-final year class, he was ranked No.
Further he was a noted athlete who used to attract the spectators in the Annual Athletic meet with his unparalleled performances. The complete college mourned and expressed their sincere condolences to the beloved family members of Shri. The College Athletic Association consisting of the captains and staff in charge of all games met and decided to conduct an All Kerala Hockey Tournament in his memory. Tournament which considered to be the most prestigious and reputed in the Kerala State was not conducted in the year and due to unavoidable reasons tournaments.
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. 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. Even then, as a pup bettor, he had a dim view of this group: 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.
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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. 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 bya 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. 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.
teams participate in Acharya Nagarjuna University athletics meet
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. The names of each corresponding, of course, to the job of each tool. Every score the model spit out was higher than the average lines produced by the bookmakers -- the standard by which they would be judging themselves. The model, in other words, was recommending that Voulgaris bet the over in every single game.
After weeks spent poring through code, Voulgaris finally caught the flaw. In more advanced versions of Ewing, they would jettison this primitive free throw method. Finding scraps of information, sliced and diced ever more finely, that reveal something about how a system -- in this case, a game of pro basketball -- will operate in the future. The key is to find those scraps that are more predictive than others. Each player has two values -- on offense and as a defender -- and those values are constantly changing.
So Voulgaris and the Whiz created, for Ewing, an aging component. Further number-crunching revealed that different types of players, based on position and size, will reach their zeniths at different ages and on trajectories that are possible to predict. Ewing now grasps the curve of the lifespan of the point guard, the shooting guard, the forwards, the center -- and predicts the downslope and expiration date of every NBA career.
When Ewing went live with actual betting for the first time toward the end of the season, Voulgaris was not yet sold on its powers. For another, the model was performing unremarkably with their money on the line -- right above the break-even line.
So too has the frequency of his wagering. In a season, he now regularly puts down well over 1, individual bets. It might come as little surprise to learn that Voulgaris has intermittently dreamed of becoming the general manager of an NBA franchise. If not maybe all. He sought publicity, conducting interviews with gambling and NBA-centric blogs. As with everything Voulgaris does, it was a calculated move.