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Live Competition
MLSE UofTSPAN Data Challenge 2026
Analyze markerless motion capture data from the MLSE Sport Performance Lab. Compete for a chance to present your work to industry professionals.
The Goal
Build a model to predict basketball shot outcome (angle, depth, and left/right) values from biomechanical movement data.
The Data
Markerless motion capture data from 458 basketball free throws completed by 5 participants of varying experience levels.
Eligibility
Open to students at Canadian universities. Register with your university email address.
Competition Timeline
Key dates for submissions and presentations.
Competition Opens
Submissions Close
Finalists Announced
Presentations at OUSAC
Ready to compete?
Download the data today.
Top 3 submissions will be invited to present their improved models to MLSE and academic experts at the conference.