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2017 NESSIS Program:

• Full conference program

Selected presentations from the 2017 NESSIS

• "How often does the best team win? A unified approach to understanding randomness in North American sport" (external link)
  Michael Lopez, Skidmore College; Benjamin Baumer, Smith College


• "Automatic event detection in basketball games" (with videos)
  Suraj Keshri, Columbia University


• "Strategy implications of the NFL’s PAT rule"
  Harold Sackrowitz, Rutgers University


• "NFLWAR: A reproducible method for offensive player evaluation in football"
  Ronald Yurko, Carnegie Mellon University


• "Opposition analysis: Methods for forecasting style of play in soccer"
  Devin Pleuler, Toronto Football Club


• "Using data analysis to predict attendance for NHL regular season games"
  Brian Macdonald, Florida Panthers


• "A point-based Bayesian hierarchical model to predict the outcome of tennis matches"
  Martin Ingram, Silverpond


• "Modeling NCAA tournament bracket pool multiple entry strategy"
  Tom Adams, www.poologic.com


• "Using survival analysis to estimate injury recovery times and positional variation in the NFL"
  Zachary O Binney, Emory University


• "Optimizing pre-season training loads in Australian football"
  David Carey, La Trobe University


• "A survey of advanced modeling techniques for forecasting college football game outcomes"
  Edward Egros, Fox 4 News (Dallas)


• "Projecting college basketball freshman performance using grassroots basketball statistics"
  Neil Johnson, ESPN


• "A timeout is a timeout? Effects of a rule change in the National Hockey League (NHL)"
  Kevin Kniffin, Cornell University


• "From NOOB to SMURF: Advanced analytics for League of Legends"
  Philip Maymin, University of Bridgeport


• "From Markov models to Poisson point processes: Understanding player movement in the NBA"
  Jacob Mortensen, Simon Fraser University


• "What does it mean to draft perfectly?"
  Namita Nandakumar, University of Pennsylvania


• "Scheduling effects in the NBA and NHL and their betting markets"
  Jason Osborne, North Carolina State University


• "An analysis of shot quality in Major League Lacrosse (MLL)"
  Tyler Schanzenbach, William Penn High School


• "Using a tennis rating system to determine handicaps in amateur matches"
  Raghav Singal, Columbia University


• "Quantifying the causal effects of conservative fourth down decision-making in the National Football League"
  Derrick Yam, Brown University

Pictures from the 2017 NESSIS

• Photographs from the 2017 NESSIS

Selected videos from the 2017 NESSIS

• Talk by Harold Sackrowitz
  
• Talk by Ronald Yurko
  
• Talk by Devin Pleuler
  
• Talk by Brian Macdonald
  
• Talk by Martin Ingram
  
• Panel Discussion
  

Sponsors

We kindly thank the following organizations for their support of the 2017 NESSIS:

	IOS Press
	ESPN Analytics
	De Gruyter
	Harvard Statistics Department
	American Statistical Association (ASA)
	ASA Section on Statistics in Sports
	Boston Chapter of the ASA

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