Fueling a New Age
of Sports Analytics

Our Technology

Sports Analytics from Standard Game Footage

No Tracking Chips.
No Additional Hardware.

Backed by over seven years of university research, our technology generates advanced hockey analytics using standard, single-camera game footage. Our proprietary computer vision system uses a combination of player tracking, and activity recognition algorithms to flag specific game events such as shots or passes, timestamp them, and record their XY coordinates on the ice. Once the raw data is collected, machine learning and pattern recognition techniques are utilized to extract meaningful insights, allowing broadcasters, teams, analysts and fans see and understand the game in a way previously not possible.

Our Products

Deeper Insights. Better Stories.

SPORTLOGiQ offers the most comprehensive hockey data in the world. With over 2,500 events tracked and timestamped per game, teams and analysts finally have the tools they need to monitor and analyze player and team performance.

For live broadcast and digital media, our products allow our customers to quickly find key stories, then visualize them in a way that is insightful and engaging to viewers. Whether it is team or player comparisons, or game strategy analysis, our revolutionary first and second screen technologies offer deep insights into the heart of the game.

The Numbers

A Snapshot of What We Do

Data Points
Stats per Player
Events per Game

Meet the Team

Craig Buntin

Co-Founder, CEO

Mehrsan Javan

Co-Founder, CTO

Philippe Desaulniers

VP Engineering

Jake Chadwick


Christopher Boucher

Director of Hockey Analytics and Services

Louis Létourneau

Senior Software Architect

Juan Camilo Gamboa Higuera

Manager, Computer Vision Research

Andrew Cameron

Computer Vision Researcher

Erika Cassivi

Human Resources Manager

Nik Brovkin

Senior Designer

Feng Shi

Computer Vision Researcher

Our Advisors

Strong University Partnerships

Martin Levine

Professor, McGill University

James Little

Professor, University of British Columbia

Greg Mori

Associate professor, Simon Fraser University

Oliver Schulte

Associate professor, Simon Fraser University


Join the Sports Analytics Revolution

Computer Vision Researcher


SPORTLOGiQ is the leading provider of advanced analytics data for professional hockey teams and broadcast media. As a Computer Vision researcher, you will be a part of our highly talented research team, building our next generation advanced sport analytics platform. To be successful in this role, you must have the ability to thrive in a dynamic environment; combining conceptual and applied research, entrepreneurship, systems building and collaborative work. You will work together with similarly-minded individuals on a unique development team where your skills and expertise will be put to the test! This is a once-in- a-lifetime opportunity to help shape the future of sport analysis, coaching and media storytelling.



Our ideal candidate would have strong academic experience developing novel computer vision and machine learning techniques and applying them to solve real-world problems. The selected candidate will be part of the computer vision and video analysis team, and will be in charge of the development of novel methods for solving computer vision and image processing problems such as real-time human detection, tracking, and human activity recognition. The candidate will also be in charge of maintaining and improving the functionality of existing products.


Required Skills:

  • PhD in with research experience in computer vision and machine learning
  • High proficiency in C/C++ or Python
  • Ability to develop large-scale systems working with image/video data
  • Strong working knowledge of software architecture and data structure
  • Effective oral and written communication skills


Desired Skills & Experience:

  • Publications in relevant fields in top-tier conferences and journals
  • Research experience in “multi target tracking” or “activity/interaction recognition”
  • Experience programming parallel and/or multi-core architectures and/or other hardware accelerators (CUDA)
  • Up-to-date knowledge and understanding of recent advances in machine learning, particularly deep learning


What We Offer:

  • Competitive salary
  • Flexible work schedule
  • Bonus structure
  • Comprehensive benefits program
  • A cooperative and fun work environment


Please send your resume to mehrsan@sportlogiq.com with the subject line starting with [RS160]

Senior Back End and Database Developer


SPORTLOGiQ is the leading provider of advanced analytics data for professional hockey teams and broadcast media. As a Senior Back End and Database Developer, you will work with the product development team to develop our next generation advanced hockey analytics platform from the ground up, providing our users with powerful analysis tools using SPORTLOGiQ’s unique data set. This is a once-in-a-lifetime opportunity to help shape the future of hockey analysis, coaching and media storytelling.



  • Collaborating with the product development team to iteratively define, design and implement the backend of SPORTLOGiQ’s next generation hockey analysis system, from data collection to data reporting to the web UI.
  • Owning the back end software design and architecture.
    • Define and implement the REST API used by data analysis and collection tools as well as the customer facing Web UIs.
    • Define, implement and manage the database model
    • Optimizing API and database for maximum speed and scalability
    • Managing the deployment toolchain
  • Working effectively with the product development and design team to ensure back end features meet front end requirements properly.



  • Minimum 5+ years’ experience as a Back-End Developer, Database Developer or similar related role.
  • Significant experience of building secure, scalable RESTful APIs.
  • Significant experience modeling databases and datawarehousing systems (PostgreSQL, Amazon RedShift)
  • Experience using cloud based platforms such as AWS / Heroku
  • Proficient understanding of code versioning tools, such as Git
  • Bachelor’s degree in Computer Science, or Computer Engineering.
  • Passion for hockey a nice plus!
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