Sports Analytics

Muscle fibre typology and the individual responses to training – Part II

How is different muscle fibre typology a factor to explain variable responses to training?

Talent Identification in sports: a brief introduction by Hylyght.

PACE yourself during exercise by real-time monitoring of your energetic balance.

Finding the most suitable walking or cycling route was never this easy, with BAS-X.

DAIQUIRI, how sports, data and journalism are brought together.

Youth sport talent detection & identification. Why you should have a look at Ghent University’s products & services.

Nano4Sports project end-results summarized in nice new (online) magazine

Is bike fitting suffering from expert subjectivity?

Successful round of sportstech related Industrial Research Funding at Ghent University

Cycling tool improves performance and makes cycling a social experience

Barça Innovation Hub and FIFA developed open-source data exchange structure to bring sports to a higher level

‘Grounded running’ drastically reduces the loading on the musculoskeletal system

On the 2nd series of SportTechie Belgium Meetups

Two Ghent University presentations during 3rd Science and Engineering Conference on Sports Innovation

Key takeaways of the 3rd FC Barcelona Sports Technology Symposium

Rethinking sports technology: psyche over science

Learnings from the 11th MIT Sloan Sports Analytics Conference – part 2

Learnings from the 11th MIT Sloan Sports Analytics Conference – part 1

What can we learn from Strava?

Sports & technology hackathon

Sports ID marathon winner at Virginia Tech

What happens at the Sport Science Laboratory – Jacques Rogge?

Gillette World Sport at Sport Science Laboratory – Jacques Rogge

In elite sport, ‘wearables’ really means ‘advanced analytics’