ASA Connect

 View Only

Registration Open: 7th Connecticut Sports Analytics Symposium (CSAS), April 10–11, 2026

  • 1.  Registration Open: 7th Connecticut Sports Analytics Symposium (CSAS), April 10–11, 2026

    Posted 12 days ago
    The 7th Connecticut Sports Analytics Symposium (CSAS)
    April 10–11, 2026, University of Connecticut

    The registration is now open. The early-bird registration deadline is March 8, 2026. 

    + Registration includes entrance to all conference events and access to 1–3 workshops on Friday afternoon.
    + Presenting students may apply to have the registration fee reimbursed after the symposium. Taxes are not eligible for reimbursement.
    + Out-of-state students may apply for travel support up to $450. Priority will be given to student presenters.
    + An optional résumé book for sponsors will be collected. A submission link will be provided in the registration confirmation email.
    + Student poster abstract submissions can be made through a link included in the registration confirmation email.

    Here are a few updates:
    + Keynote presentations:
        - Mark Glickman, Senior Lecturer on Statistics, Department of Statistics, Harvard University: Rating competitors in games with strength-dependent tie probabilities
        - Dean Oliver, Sports Analytics Pioneer, Project Specialist, Sports Statistics ESPN: Why division of (micro)credit helps in sports
    + Student poster competition: Submission deadline is 11:59 PM on Monday, March 16, 2026.
    + Sponsorship/Partnership: Sponsors will be recognized through customary channels, including naming opportunities for selected sub-events. For details, contact Dr. Jun Yan (jun.yan@uconn.edu).

    Jun Yan on behalf of the Organizing Committee

    Sean Ahmed, Principal Quantitative Analyst, Detroit Tigers
    James Hyman, Basketball and Business Intelligence Analyst, Connecticut Sun
    Brian Macdonald (co-chair), Senior Lecturer and Research Scientist, Department of Statistics and Data Science, Yale University
    Gregory J. Matthews, Associate Professor, Statistics, Loyola University Chicago
    Lauren Poe, Sports Analytics Engineer, ESPN
    Jun Yan (co-chair), Professor, Department of Statistics, University of Connecticut