The Cascadia Symposium on Statistics in Sports
September 24, 2022
Vancouver, Canada


The 2022 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 alternates years with the
New England Symposium on Statistics in Sports,
held in odd-numbered years in Boston.

A big thanks to Statsbomb, SMT, Tempus Ex Machina, and Zelus Analytics for sponsoring the event

statsbomb smt tempus_ex zelus


Abstract submissions have closed.


Registration is open until September 18:
Click Here to Register

Student Training

Associated with the Cascadia Symposium on Statistics in Sport (CASSIS), an additional day of training will be held for undergraduate and graduate students with an interest in sports analytics, sponsored by the University of Toronto Sports Analytics Group (UTSPAN) through the Connaught Fund.

The program will consist of a day’s training on Friday September 23, 2022 at SFU Burnaby. The training will include introduction to practical data science tools in sports analytics, some collaborative work on a sports analytics problem and talks on current topics in sports analytics. The students will then attend the CASSIS conference at Harbour Centre (Vancouver) on Saturday September 24, 2022. Students should bring a laptop computer to the training session.

Applications for this training and the associated funding have now passed. Please direct any any questions to


The program consists of a plenary discussion, a panel, and 10 technical presentations. Throughout the program, posters will be on display. Note the exact ordering and times below are subject to change.

  • 8:30am: Registration
  • 9:00am: Introduction
  • 9:05am: Session 1: Advances with Tracking Data
    • Peter Tea and Tim Swartz
      The Analysis of Serve Decisions in Tennis using Bayesian Hierarchical Models
    • Jacob Mortensen
      Detecting Soccer Formations in Partially-Observed Broadcast Tracking Data
    • Lucas Wu and Tim Swartz
      Evaluation of Off-the-Ball Actions in Soccer
    • Ryker Moreau, Brendan Kumagai, Elijah Cavan, and Robyn Ritchie
      Evaluating and improving punt returners’ decision making through optimal path estimation
  • 10:45am: Coffee/Poster Break
  • 11:15am: Session 2: Plenary
    • Moneyball Then and Now: A Conversation with Billy Beane (virtual session)
  • 12:15pm: Lunch
  • 1:30pm: Session 3: Hockey Analytics
    • Jonathan Arsenault, Margaret Cunniff, Eric Tulsky, and James Richard Forbes
      Spatial Roles in Hockey Special Teams
    • Michael Schuckers, Michael Lopez, and Brian Macdonald
      What does not get observed can be used to make age curves stronger: estimating player age curves using regression and imputation
    • Andrew Thomas
      Real-Time Data Science Insights In The Broadcast Space: Case Studies in NHL Hockey
  • 2:45pm: Coffee/Poster Break
  • 3:15pm: Session 4: Panel Discussion
    • "Been there, done that, got the quarter-zip"
      w/ Diana Ma (ex-Lakers), Dan Cervone (ex-Dodgers), and Ivana Seric (ex-76ers)
  • 4:15pm: Session 5: Other Sports
    • Quang Nguyen, Hannah Butler, and Gregory J. Matthews
      An Examination of Olympic Sport Climbing Competition Format and Scoring System
    • Victor Chan
      MSE-optimal K-factor of the Elo rating system for round-robin tournaments
    • Ryan Brill, Sameer Deshpande, and Abraham Wyner
      A Bayesian Analysis of the Time Through the Order Penalty in Baseball


  • Nathan de Lara, Tyrel Stokes, Russell Steele, Ian Shrier
    Effect of Injury on Performance
  • Rory Breslin
    Predicting Game Results Using a Combination of Machine Learning and Human Evaluation; A Case Study Using Soccer Event Data & PFF Shooting Grades
  • Eric Gerber, Nelson Guirado
    Competing Risks Analysis of MLB Draft Data
  • Shinpei Nakamura-Sakai, Brian Macdonald
    Estimating the age-conditioned average treatment effects curves: An application on assessing load-management strategies in the NBA
  • David Clarke, Rachel Cheng, Ryan Brodie
    The intensity multiplying factor explains the strengths of associations and disparities between common training-load metrics
  • Ryan Danczak:
    Canonical Correlation Analysis of NFL Wide Receiver on-field production and physical attributes
  • Brendan Kumagai, Kimberly Kroetch, Ryker Moreau
    Predicting the NHL Draft with Rank-Ordered Logit Models
  • Elijah Cavan
    Trade Evaluation Using Asset Pricing and Portfolio Allocation
  • Divya Parmar
    Forecasting NBA Games: A model and feature set comparison
  • Hassaan Inayatali
    Judgement Under Uncertainty: An Empirical Evaluation of NHL Draft Picks
  • Nökkvi Dan Elliðason, Brian Macdonald
    Evaluating Favorable Shot Outcomes in Team Sports
  • Abdolreza Mirzaei , Oliver Schulte, Mohammad Bahrami, Masoud Mousavi
    Sports Match Outcome Prediction with Spatio-Temporal Graph Representation Learning
  • Jay Li
    Rush B? Bayesian Predictions of Tactics in Competitive Esports
  • Scott Johnson, Will Thomson, Will Morgan, Dinesh Vatvani
    Decoupling positioning and shot-stopping in GK performance metrics
  • Claire Dudley, Michael Schuckers
    Quantifying Short-Term Winners and Losers of the NHL Trade Deadline from 2016-2022
  • Andrew Swift, Andrew Tew
    Forecasting the College World Series using a Ratio-based Method
  • Kevin Jarvis
    Exploratory Feature Detection in NHL Tracking Data

Local Information

CASSIS will be held at SFU Harbour Center in downtown Vancouver on Saturday, September 24, 2022.

Most participants will arrive via YVR Vancouver Airport. From the airport, you may take a taxi downtown, or take the Canada Line, exiting at Waterfront Station, which is 1 block from the conference venue.

There are dozens of hotels within walking distance of the conference location. Book early, as Vancouver is a popular tourist destination. For more affordable options, note that SFU Harbour Centre is very close to the sky train station with frequent trains to Richmond, Burnaby, and beyond. Don't hesitate to contact us with questions: