Entries by VALITICA

Predicting Intrinsic Muscle Injuries in Elite Football

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This whitepaper presents the scientific and operational foundations behind VALITICA’s predictive system, explaining why intrinsic muscle injuries are predictable, how multi-source data modelling enables early detection, and how clubs can operationalise predictions to protect players and improve availability. Built through collaboration with sports physicians, performance scientists and data experts, VALITICA integrates medical insight with advanced modelling to support evidence‑based decision-making in elite environments.

Assessing the cost of injuries in professional football

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An injured professional player affects the individual athlete and entails significant costs for the Club To make sound managerial decisions, Clubs must be able to quantify both direct and indirect costs associated with player injuries. Direct costs are relatively straightforward to define. They include medical expenses (diagnostic procedures, surgery, physiotherapy, rehabilitation), salary paid during absence, […]

Key variables from EPTS devices

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Sports medicine professionals need to consider key values when analysing data from EPTS devices The advent of wearable and tracking technologies, commonly grouped under EPTS (Electronic Performance & Tracking Systems), has transformed how professional football clubs monitor athlete workload, performance, and injury risk. Devices such as WIMU Pro, Catapult, Fitogether, among others, provide a wealth […]

How we add value to professional football Clubs

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Things tou need to know about Sports Medicine in a professional football context Eric Schmidt, former CEO at Google, once said that “from the dawn of civilization until 2003, 5 exabytes of information were created, but now that amount of information is created every 2 days”. Far from being an exaggeration, this calculation is a […]

“Injury Prediction with AI: The Future of Sports Medicine”

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VALITICA and INVICTUM showcase new advances in AI-driven injury prediction for football Last 28 May we held an event in collaboration with INVICTUM Sports Medicine Centre. The session brought together specialists in sports medicine, technology and artificial intelligence to present the latest progress in injury prediction for professional football players. Prevention and prediction at the […]

Maximizing Player Potential

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Every athlete strives for perfection. It may be the footballer who desires to maximize his sprint speed or the basketball player who wants to be better at shooting the ball.

With the ever-advancing technology, traditional techniques for training and coaching strategies are not enough to make athletes excel in their field. There is a need for modern technologies like machine learning. ML transforms how sports teams and athletes think about performance enhancement.

Machine learning is powered by complex data and high-performance algorithms that change the game.

What is the “UEFA Syndrome”?

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Understanding injury risk among professional footballers In professional football, injury risk is substantial and persistent. According to the long-term data collected by UEFA via its elite-club surveillance projects, squads typically experience 50 injuries per season, meaning that in a roster of around 25 first-team players, each athlete sustains an average of two injuries per season. […]

Can injuries in elite Athletes be predicted?

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Big Data, AI and ML are the best solution for elite athletes to avoid injuries. A few years ago, we enjoyed the Football World Cup 2022, one of the most important and long-awaited sporting events for a long time. Therefore, it is important to understand different technologies that for some time now have been helping […]