CSAS 2026 Program

Please fill out this CSAS feedback form after attending the symposium.

All times are US Eastern Time (New York).

Friday, April 10, 2026

• 12:00–4:00 PM: (MCHU Lobby -- Center) Registration
• 1:00-2:10 PM: Workshop Session 1
  • (MCHU 111) Introduction to R (Tyler Adams)
  • (MCHU 206) Introduction to Project Management with Git (Michael Agostino)
  • (MCHU 306) Causal Tools for Sports: Evaluating Defensive Strategies in MLB (Dr. Ying Zhou)
• 2:20-3:30 PM: Workshop Session 2
  • (MCHU 111) Introduction to Python (Matthew Venzie)
  • (MCHU 206) Basketball Analytics (Ankith Nagabandi)
  • (MCHU 306) Building and Deploying Sports Data Apps with Docker (Rahul Manna)
• 3:40-4:00 PM: Coffee Break
• 4:05-5:15 PM: Workshop Session 3
  • (MCHU 111) Introduction to Interactive Visualization (Lucy Liu)
  • (MCHU 206) Football Analytics (Nicholas Pfeifer)
  • (MCHU 306) Unsupervised learning with tracking data (Quang Nguyen)
• 5:15-6:15 PM: (MCHU 2nd Floor Hallway) Reception,

Saturday, April 11, 2026

• 8:00-3:30 PM: (MCHU Lobby -- Center) Registration
• 8:00-8:45 AM: (Outside of MCHU 101) Continental Breakfast
• 8:45-9:00 AM: (MCHU 101) Opening Remarks (Chair: Greg Matthews)
  • Ofer Harel, Dean of the College of Liberal Arts and Sciences and Professor in the Department of Statistics, University of Connecticut
  • Moe Butler, Associate Athletic Director for Sports Performance, University of Connecticut
• 9:00–10:00 AM: (MCHU 101) Keynote Presentations (Chair: Greg Matthews)
  • Mark Glickman, Harvard University: Rating competitors in games with strength-dependent tie probabilities
  • Dean Oliver, Sports Statistics ESPN: Why division of (micro)credit helps in sports
• 10:00–10:30 AM: (Outside of MCHU 101) Coffee Break
• 10:30–11:50 AM: (MCHU 101) Invited Session 1 (Chair: Brian Macdonald)
  • Sarah Rudd, src | ftbl: The Messy Middle: Why Life is Easier at the Top of the English Football Pyramid
  • Meredith Shea, Vassar College: Off-Ball Run Value: Evaluating Off-Ball Runs Using Tracking Data
  • Kendall L. Thomas, University of North Carolina at Chapel Hill: Movement Dynamics in Elite Female Soccer Athletes: The Quantile Cube Approach
  • Akshay Easwaran, United States Soccer Federation: Operationalizing Tracking Data
• 11:50 AM-12:00 PM: Data Challenge Highlights (Chair: Brian Macdonald)
  • Justin Ford, United States Olympic & Paralympic Committee
  • James Hyman, Basketball and Business Intelligence Analyst, Connecticut Sun
• 12:00-2:00 PM: (Student Union) Lunch, (Outside of MCHU 101) Mixer, and (MCHU Hallway) Poster Session (poster judging: 12:20-2:00 PM)
• 2:10-3:30 PM: (MCHU 101) Invited Session 2 (Chair: Sean Ahmed)
  • Kevin O'Donnell, U.S. Soccer Federation: From Paper to Pipeline: Deploying Tracking Data Solutions in Production
  • Julie P. Burland, University of Connecticut; Acceleration Exposure and Asymmetric Loading Profiles in Ice Hockey: Implications for Neuromuscular Demand
  • Mary Salvana, University of Connecticut: A Self-Organized Criticality Framework for Understanding Exertional Heat Stroke and Other Injuries
  • Robert Huggins, University of Connecticut: The Next Performance Enhancing Substance: Integrating Physiological Load and Functional Biomarker Monitoring in Sport. An Athlete Centered Approach
• 3:30-4:00 PM: (Outside of MCHU 101) Coffee Break
• 4:00-5:15 PM: (MCHU 101) Panel discussion: Building Careers in Sports Analytics (Moderator: Lauren Poe)
  • Dean Oliver, ESPN
  • Alok Pattani, Google
  • Nick Restifo, Atlanta Hawks
• 5:15-5:30 PM: (MCHU 101) Award ceremony: Announcing the winners of the data challenge and poster winners (Chair: Greg Matthews)