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How to Play Strategically in Fantasy Sports (and Win) https://www.sloansportsconference.com/activities/research-papers/2018-research-paper-finalists-posters/ Abstract: Daily Fantasy Sports (DFS) is a multi-billion dollar industry with millions of annual users and widespread appeal among sports fans across a broad range of popular sports. Building on the recent work of Hunter, Vielma and Zaman (2016) we provide a coherent framework for constructing DFS portfolios where we explicitly model the behavior of other DFS players. We formulate an optimization problem that accurately describes the DFS problem for a risk-neutral decision-maker in both double-up and top-heavy payoff settings. Our formulation maximizes the expected reward subject to portfolio feasibility constraints. We relate this formulation to the finance literature on mean-variance optimization and in particular, the literature on outperforming stochastic benchmarks. Using this connection we show how our problems can be reduced (via some simple assumptions and approximations) to the problem of solving binary quadratic programs. One of the contributions of our work is the introduction of a Dirichlet-multinomial data generating process for modeling opponents’ team selections. We estimate the parameters of this model via Dirichlet regressions. A benefit to modeling opponents’ team selections is that it enables us to estimate the value of “insider trading” where an insider, e.g. an employee of the DFS contest organizers, gets to see information on opponents’ portfolio choices before making his own team selections. We demonstrate the value of our framework by applying it to both double-up and top-heavy DFS contests in the 2017-2018 NFL season.
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Mauroder | 5 |
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How to Play Strategically in Fantasy Sports (and Win) https://www.sloansportsconference.com/activities/research-papers/2018-research-paper-finalists-posters/ Abstract: Daily Fantasy Sports (DFS) is a multi-billion dollar industry with millions of annual users and widespread appeal among sports fans across a broad range of popular sports. Building on the recent work of Hunter, Vielma and Zaman (2016) we provide a coherent framework for constructing DFS portfolios where we explicitly model the behavior of other DFS players. We formulate an optimization problem that accurately describes the DFS problem for a risk-neutral decision-maker in both double-up and top-heavy payoff settings. Our formulation maximizes the expected reward subject to portfolio feasibility constraints. We relate this formulation to the finance literature on mean-variance optimization and in particular, the literature on outperforming stochastic benchmarks. Using this connection we show how our problems can be reduced (via some simple assumptions and approximations) to the problem of solving binary quadratic programs. One of the contributions of our work is the introduction of a Dirichlet-multinomial data generating process for modeling opponents’ team selections. We estimate the parameters of this model via Dirichlet regressions. A benefit to modeling opponents’ team selections is that it enables us to estimate the value of “insider trading” where an insider, e.g. an employee of the DFS contest organizers, gets to see information on opponents’ portfolio choices before making his own team selections. We demonstrate the value of our framework by applying it to both double-up and top-heavy DFS contests in the 2017-2018 NFL season.
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Mauroder | 1 |
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NFL FOOTBALL PLAYER STATS & ANALYSIS 2018 IS NOW AVAILABLE!
https://sqldusty.com/2018/08/21/nfl-football-player-stats-analysis-2018-is-now-available/
Passing Analysis
Rushing Analysis
Receiving Analysis
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Mauroder | 1 |
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Webmaster, the new revamp covers/wagerline is so confusing ... It's not logical or intuitive from a bettor's point of view. The End User has been forgotten in order to please more mercantile objectives ...
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zillagod | 34 |
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https://contests.covers.com/sportscontests/poolContest.aspx?ID=26053
PuckHeads This Challenge is for You 50 picks per week winner takes all ! |
Mauroder | 1 |
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created a topic
Thanks for participating in this year contest and have a great summer !
in Pool Discussion
Thanks for participating in this year contest and have a great summer !
See Ya Next Year ![]() |
Mauroder | 1 |
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created a topic
Covers.com sale offers opportunity to make betED players whole
in General Discussion
Covers.com sale offers opportunity to make betED players whole
29.05.15 15:35 https://calvinayre.com/2015/05/29/business/covers-com-sale-offers-hope-for-beted-players/ Author: Peter Amsel | Comments | Gambling News, Article, betEd, Covers.com, gracenote sports, sports betting Canadian online sports betting affiliate Covers.com has been acquired by Gracenote, a subsidiary of US media powerhouse Tribune Media. Gracenote announced on Thursday that it had acquired the Halifax-based Covers.com, along with Covers offshoot SportsDirect Inc. and the Netherlands-based Infostrada Sports. The trio will operate under the banner of Gracenote Sports, Gracenote’s new sports data service, which aims to provide data on global sports leagues and events to broadcasters, sports federations and event organizers. The deal is a reflection of both the growth of the data-hungry daily fantasy sports industry and the increased momentum behind the push for legal sports bets in the United States. The Chicago-based Tribune is a media giant whose holdings include superstation WGN and 38 other television stations across the US. Gracenote said the total price tag of its three acquisitions would be US $54m. Assuming at least half of that went to the Halifax crew, perhaps now is a good time to remind everyone of Covers.com’s role in the collapse of online sportsbook betED. betED was one of a number of online sports betting firms indicted on May 23, 2011, a date that became known as Blue Monday (following the Black Friday action against the three major US-facing online poker companies). Unlike the other indicted sites, most of which were back up and running on alternate domains within days or even hours of the Department of Justice’s action, betED was never heard from again and its customers lost their entire account balances. Prior to Blue Monday, betED was the top-rated online sportsbook at Covers.com, which reportedly provided 95% of betED’s business. Following the indictments, Covers claimed to be in regular communication with betED’s ownership and further claimed to be attempting to negotiate a transfer of betED’s player database to another online sportsbook, although nothing ever came of these alleged negotiations. There were plenty of rumblings at the time that questioned betED’s stated excuse for closing – the DOJ had seized its bank accounts – arguing that the actual amount of funds seized was insignificant and that betED’s owners were simply looking for an excuse to shut down and keep the player balances as a consolation prize. As for the identify of betED’s owners, sources told CalvinAyre.com that Covers/SportsDirect founders Joe Lavers and Paul Macdonald (pictured) were the company’s beneficial owners via a lucrative revenue-sharing deal (estimated at 70%). Macdonald gave an interview to Gambling911.com, calling the ownership allegations “total bullshit” but betED’s Costa Rica-based employees – who were stiffed out of severance by the site’s closure – claimed Lavers had been calling the shots at betEd. Whatever share of that $54m Gracenote deal is currently sitting in Lavers and Macdonald’s bank accounts, surely there’s enough to right a historical wrong. |
Mauroder | 3 |
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NHL Betting Contest 50 Picks Per Week Join Now ! https://contests.covers.com/sportscontests/poolContest.aspx?ID=23811
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Mauroder | 1 |
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NHL Betting Contest 50 Picks Per Week Join Now ! https://contests.covers.com/sportscontests/poolContest.aspx?ID=23811 |
Tepham | 28 |
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San Jose @ New England Take San Jose to Win
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Mauroder | 1 |
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created a topic
Twitter Analysis Can Help Gamblers Beat the Spread on NFL Games: Scientists
in Website Promotions
Carnegie Mellon Researchers Say Twitter Analysis Can Help Gamblers Beat the Spread on NFL Games
https://news.cs.cmu.edu/article.php?a=3864 Analyses of Twitter feeds have been used to track flu epidemics, predict stock market changes and do political polling, but now that the National Football League season is underway, the natural question is: Can Twitter help beat the spread on NFL games? The answer, say computer scientists at Carnegie Mellon University, is yes. Or, at least it can help a little bit at certain times during the season. They will report their findings Sept. 27 at the Machine Learning and Data Mining for Sports Analytics conference in Prague, Czech Republic. The study began as a class project by then-student Kevin Gimpel, now a research assistant professor at Toyota Technological University at Chicago. It ultimately encompassed three NFL seasons, 2010-2012. The researchers used automated tools to sort through a stream of tweets that averaged 42 million messages a day in 2012. Out of those, the researchers plucked out messages with hashtags associated with individual NFL teams — #giants, #newyorkgiants, #nygiants, #steelers, #steelersnation, etc. — that were sent at least 12 hours after the start of the team's previous game and one hour before the start of its upcoming game. In 2012, more than a million such messages were identified. The idea, explained Christopher Dyer, assistant professor in CMU's Language Technologies Institute, was to see what might be divined from the collective wisdom or sentiments of fans, as reflected by their tweets. Could simple measures, such as the volume of tweets, or the distribution of positive and negative words in tweets, provide insight into which teams would win, which teams would beat the point spread, or provide guidance on betting on the over/under line (the total number of points scored by both teams in a game)? "It's an experiment every week," Dyer said. What they found was that their analysis of tweets didn't help much when it came to predicting winners or the over/under score. But when it came to winning with the spread, the researchers said their method was 55 percent accurate. That doesn't offer a huge advantage, Dyer acknowledged, but it might be enough to be profitable. When setting the spread, of course, sports books don't look only at a team's performance or factors such as home field advantage and weather predictions. The goal is to attract an even amount of bets for both teams, which minimizes the financial risk of the bookie. A certain amount of psychology factors into the spread, Dyer noted, which suggests why gauging the sentiments of team fans might offer some betting advantages. But the researchers also developed a deep appreciation for the performance of the sports books and for how hard it is to beat the spread. "One thing that surprised us is how hard setting the point spread is to do well," Dyer said. "And the sports books are very, very good." There were limits to what Twitter could reveal. Dyer said the Twitter analysis didn't work well for the first four weeks of the season. And, in the last few weeks of the season, when many teams begin altering their strategies in preparation for the post-season, the Twitter analysis wasn't useful either. Though the advantage of Twitter analysis was modest, Dyer said improvement might be possible with a more sophisticated analysis of tweet content. Also, a common difficulty in Twitter analysis is the rapidly changing nature of the social network. "It's a moving target," Dyer explained. "More people are on Twitter this year than the year before and the year before that." The number of tweets analyzed by the researchers for the 2012 season was five times greater than the number of tweets in the 2010 season. The sports books themselves might benefit from using Twitter analysis, if they aren't already using it, Dyer said. As for the researchers, who included Noah Smith, associate professor of language technologies and machine learning, and Shiladitya Sinha, a student majoring in mathematical sciences, the interest is purely in understanding how Twitter data can be analyzed and used. "As far as I know," Dyer said, "none of us has actually placed a bet based on our findings." |
Mauroder | 1 |
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Netherlands vs Portugal Take the Over 2.5
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Mauroder | 10 |
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NCAA Tournament "Dance Card"
Below are rankings of all NCAA Division I men's basketball teams through the games of Wednesday, February 29, 2012, according to the "Dance Card" formula developed by Jay Coleman of the University of North Florida, Mike DuMond of Charles River Associates, and Allen Lynch of Mercer University. The Dance Card is a formula designed to predict which teams will receive at-large tournament bids from the NCAA Tournament Selection Committee. https://www.unf.edu/~jcoleman/dance.htm |
Mauroder | 1 |
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March Madness :The Dance Card NCAA Tournament "Dance Card" https://www.unf.edu/~jcoleman/dance.htm Spread the Word Mauroder |
Mauroder | 1 |
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Atlanta v Montreal Montreal to win |
Tuto_Croata | 5 |
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I like Toronto @ home tonite Hockey Nights in Canada 2010-2011
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LuckyGuy | 70 |
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Is this true that : ' The average flyer fan has the brain of a Neanderthal for his appreciation of good hockey plays' and may I add vote for McCain ! |
happycap | 19 |
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Pride is at stake here boys ! Pride is a feeling !
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Mauroder | 5 |
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The score in the last game did not reflect what really went happen on the ice ! Habs Rebound tonite |
Mauroder | 5 |
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philly Montreal will win 2nite GO HABS GO !!!
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Mauroder | 5 |
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