NESSIS — New England Symposium on Statistics in Sports

Past Meetings

2017 NESSIS

Program

Selected presentations

Confirmed presenters

The full slate of talks and posters confirmed for the 2017 NESSIS program.

Confirmed oral presentations

  • “Fair standings in soccer and other round-robin leagues”
    David Firth, University of Warwick
  • “Out of gas: Quantifying fatigue in MLB relievers”
    Kyle Burris, Duke University
  • “No ‘I’ in team: A network analysis of Division I men's basketball offenses”
    Grace Dickman, Macalester College
  • “A point-based Bayesian hierarchical model to predict the outcome of tennis matches”
    Martin Ingram, Silverpond
  • “Automatic event detection in basketball games”
    Suraj Keshri, Columbia University
  • “A shot taxonomy in the era of tracking data in professional tennis”
    Stephanie Kovalchik, Tennis Australia
  • “How often does the best team win? A unified approach to understanding randomness in North American sport”
    Michael Lopez, Skidmore College
  • “Using data analysis to predict attendance for NHL regular season games”
    Brian Macdonald, Florida Panthers
  • “Player tracking in American football: Spatio-temporal modeling of defensive players' intent”
    Karl Pazdernik, North Carolina State University
  • “LINNET: Probabilistic lineup evaluation through network embedding”
    Konstantinos Pelechrinis, University of Pittsburgh
  • “Opposition analysis: Methods for forecasting style of play in soccer”
    Devin Pleuler, Toronto Football Club
  • “Strategy implications of the NFL's new PAT rule”
    Harold Sackrowitz, Rutgers University
  • “Replaying the NBA: Using Markov decision processes to test decision-making from the 2015-2016 regular season”
    Nathan Sandholtz, Simon Fraser University
  • “Utilizing analytics to reduce NFL offensive play type predictions to a mental checklist”
    Ronen Yakubov, University of Toronto
  • “NFLWAR: A reproducible method for offensive player evaluation in football”
    Ronald Yurko, Carnegie Mellon University

Confirmed poster presentations

  • “Modeling NCAA tournament bracket pool multiple entry strategy”
    Tom Adams, Poologic
  • “It's a toss-up: An analysis of coin toss strategy in T20 cricket”
    Sumhith Veda Aradhyula, Harvard University
  • “Bump, set, spike: Using analytics to rate volleyball teams and players”
    Corley Bagley, VolleyMetrics
  • “Using survival analysis to estimate injury recovery times and positional variation in the NFL”
    Zachary Binney, Emory University
  • “Optimising pre-season training loads in Australian football”
    David L Carey, La Trobe University
  • “Using a tennis rating system to determine handicaps in amateur matches”
    Timothy Chan, University of Toronto
  • “What factors impacts a superstar's performance in NBA?”
    Ruihao Chen, Deloitte & Touche LLP
  • “Rao-Blackwellizing field goal percentage for NBA players”
    Daniel Daly-Grafstein, Simon Fraser University
  • “A survey of advanced modeling techniques for forecasting college football game outcomes”
    Edward Egros, Fox 4 Sports, Dallas
  • “Performance vs. observation: Are experts and analysts watching the same game?”
    Liam Flaherty, Babson College
  • “The first-pitch game: Strategies and significance of the first pitch in the MLB”
    Adam Gilfix, Harvard University
  • “Comparing golf eras: An analysis of golf's best to determine the greatest professional golfer of all time”
    Patrick Gravelle, Queen's University
  • “Projecting college basketball freshman performance using grassroots basketball statistics”
    Neil Johnson, ESPN
  • “New ways to evaluate pitchers using weighted offensive average and penalizing earned runs”
    Chulmin Kim, University of West Georgia
  • “Experienced veteran or promising rookie: The effects of MLB managers' salary and experience on team success”
    J.C. Kim, Fairleigh Dickinson University
  • “A timeout is a timeout? Effects of a rule change in the National Hockey League (NHL)”
    Kevin Kniffin, Cornell University
  • “Grip it and rip it: A further exploration of predicting success for male professional golfers on the PGA Tour”
    Michael Machiorlatti, University of Oklahoma Health Sciences Center
  • “From noob to smurf: Advanced analytics for League of Legends”
    Philip Z. Maymin, University of Bridgeport
  • “Projecting the 2017 NBA draft class”
    John McCool, University of Pittsburgh
  • “From Markov models to Poisson point processes: Understanding player movement in the NBA”
    Jacob Mortensen, Simon Fraser University
  • “Islands in the sea are connected in the deep: Professional soccer player transfers in Big 5 European leagues using exponential random graph model (ERGM)”
    Subhasree Mukherjee, Indian Institute of Management Kozhikode
  • “What does it mean to draft perfectly? A game theoretic framework for the NHL entry draft”
    Namita Nandakumar, University of Pennsylvania
  • “Scheduling effects in the NBA and NHL and their betting markets”
    Jason A Osborne, North Carolina State University
  • “Risk factors and predictive modeling of the UCL injury using PITCHf/x data in MLB”
    Fumitake Sakaori, Chuo University
  • “An analysis of shot quality in Major League Lacrosse (MLL)”
    Tyler Schanzenbach, William Penn High School
  • “Predicting shot success using real estate”
    Neil Seward, University of Ontario Institute of Technology
  • “Quantifying the causal effects of conservative fourth down decision making in the National Football League”
    Derrick Yam, Brown University

Pictures

Photographs from the 2017 NESSIS

Selected videos

Sponsors

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