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Artificial Intelligence can boost the quality of healthcare treatments, from diagnostics to drug discovery, while also helping doctors and athletic trainers make better decisions, starting with prevention.
By using these techniques, it’s possible to lower the risk of injuries, supporting coaches and medical teams in making choices that enhance both individual and team performance.
We have over a decade of experience in football analytics and we actively contribute to the scientific community through publications, conferences, and training courses in Football Data Science. We engage in various areas of interest within football, from injury monitoring and prevention to match analysis for predicting play patterns that create goal-scoring opportunities, as well as scouting, optimizing the selection of new players (and coaches) based on the team’s playing strategies.
We develop analytical tools grounded in the latest scientific findings, collaborating with staff from Italian Serie A and B clubs, research centres, and leading companies in the industry.
Pressure Analyzer uses video-synchronized tracking data tailored to the match analyst’s needs, thus making it the most precise tool for analyzing ball possession management in terms of space, timing, and opponent pressure
Injury Monitor is a tool that manages performance data from multiple sources (GPS, RPEDALDA questionnaires, injury history) and provides risk and stress indicators for each monitored player at the end of every training session.
Our scouting tools focus on both individual players and teams/coaches. We work with data from major providers (Hudl, Stats/Opta, StatsBomb, Footovision, SkillCorner, etc.), and our approach is built on open algorithms (Playerank, Vaep, etc.) tailored to the user’s needs.
Want to know more about our projects in sports analytics?
Send us a message!