sport-science

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

Open-source force plate for sport science — 1000 Hz, 24-bit, ~$745 USD

A demo sport science Shiny app.

Athlete performance classifier — Spring Boot · H2 · Thymeleaf

Human Activity Recognition from wearables (RandomForest)

Wearable-based endurance performance case study using Garmin data and 29 official FIDAL races.

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

Lightweight C++ computation core for sports diagnostics.

Web Bluetooth power capture for air bikes, with a three-sprint anaerobic profiling protocol using blood lactate

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

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

Retro sports science RPG: apply physiology knowledge to train athletes across four levels

Statistical analysis of coaching feedback preferences among Norwegian amateur football players, using Exploratory Factor Analysis (EFA), PCA, Repeated Measures ANOVA, and data visualization in SPSS.

🏃‍♂️ Multimodal AI pipeline for athlete performance and injury risk prediction, combining wearable sensors, health data, and food image analysis. Includes feature engineering, CalorieCLIP-based nutrition estimation, and personalized ML modeling with LOPO validation.

Boxing Science Athlete Management System (public edition): athlete testing, physiology analysis, combine events and training. Next.js, FastAPI, Supabase.

Weight-making planner for combat sports: fluid, gut content and glycogen stages with risk flags

Streamlit app for interval-session speed analysis from Garmin FIT files, using statistical parametric mapping (spm1d)