An ongoing compilation of publicly available datasets for sport science projects.

A collection of literature on the use of computational intelligence methods in sports

This project accompanies the research paper titled Individual in-situ GPS-derived acceleration-speed profiling: towards automatization and refinement under-reviewed in the journal Sports Medecine-Open.

Multi-level analyses on open source european football data

A demo sport science Shiny app.

Human Activity Recognition from wearables (RandomForest)

Biomechanics pipeline for jump-tests (CMJ, Dj, Sj) force-plate analysis with event detection, phase segmentation, performance metrics, visualization export, and synced video review.

Experimental data-processing prototype for sports diagnostics.

Lightweight C++ computation core for sports diagnostics.

Research work on the impact off long COVID on endurance athletes.

A simple shiny app to compute a load-velocity model.