2017 NESSIS Program:
Selected presentations from the 2017 NESSIS
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"Fair standings in soccer and other round-robin leagues"
David Firth, University of Warwick and the Alan Turing Institute
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"How often does the best team win?
A unified approach to understanding randomness in North American sport"
Michael Lopez, Skidmore College; Benjamin Baumer, Smith College
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"LinNet: Probabilistic lineup evaluation through network embedding"
Konstantinos Pelechrinis, University of Pittsburgh
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"No ‘I’ in Team: A network analysis of Division I men’s
basketball offenses"
Grace Dickman, Macalester College
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"Automatic event detection in basketball games"
(with videos)
Suraj Keshri, Columbia University
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"Strategy implications of the NFL’s PAT rule"
Harold Sackrowitz, Rutgers University
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"Reducing NFL offensive play-type predictions
to a practical model"
Ronen Yakubov, Craig Fernandez, University of Toronto
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"NFLWAR: A reproducible method for
offensive player evaluation in football"
Ronald Yurko, Carnegie Mellon University
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"Opposition analysis: Methods for forecasting style of play in soccer"
Devin Pleuler, Toronto Football Club
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"Player tracking in American football:
Spatio-temporal modeling of defensive players’ intent"
Karl Pazdernik, Pacific Northwest National Laboratory
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"Using data analysis to predict attendance for NHL regular season games"
Brian Macdonald, Florida Panthers
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"A point-based Bayesian hierarchical model to predict
the outcome of tennis matches"
Martin Ingram, Silverpond
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"Modeling NCAA tournament bracket pool multiple entry strategy"
Tom Adams, www.poologic.com
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"Using survival analysis to estimate injury recovery times
and positional variation in the NFL"
Zachary O Binney, Emory University
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"Optimizing pre-season training loads in Australian football"
David Carey, La Trobe University
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"A survey of advanced modeling techniques for
forecasting college football game outcomes"
Edward Egros, Fox 4 News (Dallas)
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"Comparing golf eras: An analysis of golf's best to determine
the greatest professional golfer of all time"
Patrick Gravelle, Queen's University
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"Projecting college basketball freshman performance using
grassroots basketball statistics"
Neil Johnson, ESPN
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"A timeout is a timeout? Effects of a rule change in
the National Hockey League (NHL)"
Kevin Kniffin, Cornell University
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"From NOOB to SMURF: Advanced analytics for League of Legends"
Philip Maymin, University of Bridgeport
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"From Markov models to Poisson point processes:
Understanding player movement in the NBA"
Jacob Mortensen, Simon Fraser University
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"What does it mean to draft perfectly?"
Namita Nandakumar, University of Pennsylvania
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"Scheduling effects in the NBA and NHL and their betting markets"
Jason Osborne, North Carolina State University
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"An analysis of shot quality in Major League Lacrosse (MLL)"
Tyler Schanzenbach, William Penn High School
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"Using a tennis rating system to determine handicaps in amateur matches"
Raghav Singal, Columbia University
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"Quantifying the causal effects of conservative fourth down decision-making
in the National Football League"
Derrick Yam, Brown University
Pictures from the 2017 NESSIS
Selected videos from the 2017 NESSIS
Sponsors
We kindly thank the following organizations
for their support of the 2017 NESSIS: