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2019 NESSIS Program:

• Full conference program

Selected presentations from the 2019 NESSIS

• "Comparing NHL Players' Shots and Goals by Algorithmically Decomposing Shot Intensity Surfaces"
  Devan Becker, University of Western Ontario


• "An Examination of Timeout Value, Strategy, and Momentum in NCAA Division 1 Men's Basketball"
  Luke Benz, Yale University


• "In or Out? The New Flagstick Dilemma for Putting in Golf"
  Christopher Bilder, University of Nebraska-Lincoln


• "Estimating (four) Factor Values inthe NBA: A Seemingly Unrelated Regression Analysis"
  Jonathan Bosch, Syracuse University


• "Route Identification in the National Football League" (best viewed in "presentation mode")
  Dani Chu, Simon Fraser University


• "The Paths We Take: A Player Tracking Analysis of NHL Shootouts"
  Nick Czuzoj-Shulman, Sportlogiq


• "Unsupervised Run Type Detection"
  Sam Gregory, Sportlogiq


• "A Bayesian Joint Model for Spatial Point Process with Application to Basketball Shot Chart"
  Jieying-Jiao, University of Connecticut


• "Extracting Player Tracking Data from Video Using Non-Stationary Cameras and a Combination of Computer Vision Techniques"
  Neil Johnson, ESPN Analytics


• "TRAP: A Predictive Framework for Trail Running Assessment Performance"
  Natalia Lombardi de Oliveira, Carnegie Mellon University


• "Estimation of Player Load Metrics Using Broadcast-Derived Tracking Data"
  Jacob Mortensen, Simon Fraser University


• "A SHINY Markov Machine for Decision-Making in MLB"
  Jason Osborne, North Carolina State University


• "The Path to Success on the LPGA Tour - Identifying the Three Important Dimensions in Stroke Play"
  Kabir Sen, Lamar University


• "How Do Typical Runners' Performances Vary with Age and Gender?"
  Richard Smith, University of North Carolina, Chapel Hill


• "From Grapes and Prunes to Apples and Apples: Using Matched Methods to Estimate Optimal Zone Entry Decision-Making in the National Hockey League"
  Asmae Toumi, Columbia University


• "Home Sweet Home: Quantifying Home Court Advantages for NCAA Basketball Statistics"
  Matthew van Bommel, Simon Fraser University


• "On the Utility of Tracking Data for Augmenting Event-based Models in Hockey and Soccer"
  David Yu, Sportlogiq


• "Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data"
  Ron Yurko, Carnegie Mellon University

Pictures from the 2019 NESSIS

• Photographs from the 2019 NESSIS

Selected videos from the 2019 NESSIS

• Introductory remarks by Mark Glickman and Scott Evans
  
• Talk by Barry Nalebuff and Matthew Doria
  
• Talk by Richard Smith
  
• Talk by Ron Yurko
  
• Talk by Neil Johnson
  
• Talk by Fan Bu
  
• Talk by Jacob Mortensen
  
• Talk by Katherine Evans
  
• Talk by Katy McKeough
  
• Talk by Brian Macdonald
  
• Talk by Laurie Shaw
  
• Talk by Dani Chu
  
• Talk by Sam Gregory
  
• Talk by Devan Becker
  
• Talk by Nathan Sandholtz
  
• Talk by Sarah Mallepalle
  
• Panel Discussion
  

Sponsors

We kindly thank the following organizations for their support of the 2019 NESSIS:

	Harvard Statistics Department
	ASA Section on Statistics in Sports
	Boston Chapter of the ASA
	Susquehanna International Group, LLP
	ESPN Sports Analytics
	IOS Press
	De Gruyter
	SportLogiq
	SimpleBet

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