Collaborative Research Team Projects
Sports Analytics: Exploring Complex Sports Datasets
This project explores problems related to sports business and economics, player health and performance, and traditional sports analytics.
Research Category: Sports Science
Why Study Sports Analytics?
The advent of complex sports datasets has resulted in great interest in sports analytics. These datasets extend beyond box score data to include event data and the gold standard known as tracking data*.
*tracking data is big data which records the location of all players on the field, recorded at intervals as frequent as 25 Hz.
Areas of Exploration
Business & Economics
Includes ticket pricing, fan retention, fan growth, efficiency of gambling markets, marketing and salary cap issues.
Includes nutrition, sleep, injury prevention, training, physiology, exercise, biomechanics, health, medicine and biochemistry.
Includes fairness of competitions, scheduling, tactics, the indication of key performance indicators, drafting, rules, ranking, decision making, handicapping and player evaluation.
Solving Global Challenges
Research Team’s Goal
To advance sports analytics using the tools of probability, statistics and data science.
People Behind the Project
Tim Swartz | Simon Fraser University
Alex Leblanc | University of Manitoba
Tianyu Guan | Brock University
Oliver Schulte | Simon Fraser University
Dave Clarke | Simon Fraser University
Syed Ejaz Ahmed | Brock University
David Beaudoin | Université Laval
Jiguo Cao | Simon Fraser University
Tim Chan | University of Toronto
Peter Chow-White | Simon Fraser University
Ivor Cribben | University of Alberta
Paramjit Gill | University of British Columbia, Okanagan
Joan Hu | Simon Fraser University
Tom Loughin | Simon Fraser University
Saman Muthukumarana | University of Manitoba
Catherine Pfaff | Queen’s University
Pascal Poupart | University of Waterloo
Peter Tingling | Simon Fraser University
Own the Podium
Canadian Sports Institute Pacific
Explore More Stories
Find Related Programs
Sports Analytics is a Collaborative Research Team project. This program tackles complex problems through a three-year research and training agenda.
CANSSI offers approximately $200,000 for this type of project, which requires a team of faculty, postdocs, and students.