The Cascadia Symposium on Statistics in Sports
August 3, 2018
Vancouver, Canada


The 2018 Cascadia Symposium on Statistics in Sports is a meeting of statisticians and quantitative analysts connected with sports teams, sports media, and universities to discuss common problems of interest in statistical modeling and analysis of sports data. The symposium format is a mixture of invited talks, a poster session, and a panel discussion.

Founded in 2016, CASSIS is based heavily on the
New England Symposium on Statistics in Sports.

While normally held biennially in September, CASSIS has been moved to August 3 in 2018 to coincide with JSM, being held July 28 - August 2, 2018 in Vancouver.

A big thanks to SPORTLOGiQ for sponsoring the event



Abstract submission has closed.


Registration is now open:
Click Here to Register


The program consists of two keynote talks, a panel, and 15 technical presentations. Throughout the program, posters will be on display.

  • 8:20-8:30: Introduction
  • 8:30-9:30: Basketball Analytics
    • Aaron Danielson, Mark Handcock, Michael Tzen, and Bart Blackburn
      Can They Play Together? Latent Network Methods for Basketball
    • Jacob Mortensen, Nate Sandholtz, and Luke Bornn
      Too much of a good thing: A hierarchical latent factor model for measuring the impact of skill redundancy in professional basketball
    • Michael Tzen and Aaron Danielson
      The Hawkes Hand: A New Perspective on an Old Problem. Re-contextualizing Basketball's Hot Hand Through a Self-Exciting Temporal Point Process
  • 9:30-10:00: Keynote 1 -- Daniel Stenz
  • 10:00-10:30: Coffee Break
  • 10:30-12:00: NFL Analytics
    • Jacques Kvam and Karl Pazdernik
      Self-Scouting the Scout: Using Text Analytics to Improve Scout Grades in American Football
    • Michael Schuckers, Seongwon Im, Brian Macdonald, and Jesse McNulty
      Design-weighted Regression Adjusted Plus-Minus (D-WRAP-M) for Evaluation of Player Impact
    • Konstantinos Pelechrinis
      The Passing Skill Curve in the NFL
    • Zachary Binney and Ronald J. Yurko
      Multilevel Models to Measure Player, Team, and Stadium Effects on NFL Injury Risk
    • James Gilman, Nicholas Kapur, and Eric Laber
      Simulation-Based Learning for Football Decision Making
  • 12:00-1:00: Lunch
  • 1:00-2:00: Advances in Paired Comparison Models
    • Mark Glickman
      Paired Comparison Models with Tie Probabilities and Order Effects as a Function of Strength
    • Ryan McShane and Ian R. Harris
      CRSP: Modeling Stochastically Intransitive Relationships between NBA Teams
    • Tyrel Stokes
      Estimating the Impact of Injury on Individual Performance under Time-Varying latent Abilities
  • 2:00-2:30: Coffee Break
  • 2:30-3:00: Keynote 2 -- Ted Knutson
  • 3:00-3:45: Panel -- "Getting your work noticed in sports analytics"
  • 3:45-4:45: Other Sports
    • Laura Boehm Vock
      Assessing effect of plate discipline on batting outcomes using the g-computation algorithm
    • Jesse McNulty, Brian MacDonald, and Christopher Long
      Lax(X,Y): Spatiotemporal Analysis in Major League Lacrosse
    • Elijah Meyer and Jennifer Green
      Statistics Behind the Skill: Cluster Analysis and Data Visualization on Disc Golf Data

Local Information

CASSIS will be held at SFU Harbour Center in downtown Vancouver on Friday, August 3, 2018.

There are dozens of hotels within walking distance of the conference location. Book early, as Vancouver is a popular tourist destination in August.

Most participants will arrive via YVR Vancouver Airport. From the airport, you may take a taxi downtown (about $40 CAD) or take the Canada Line ($9 CAD), exiting at Waterfront Station, which is 1 block from the conference venue. Don't hesitate to contact us with questions: