Expert Knowledge in Sports Performance Anytime, Anywhere
Access Mentorship Programs, practical DIY Tutorials, and Online Courses that cover essential aspects of sports performance, including fatigue management, recovery methods, strength & power, conditioning, injury rehabilitation, return-to-play, data analytics, sports technology, and sports coaching. Available on laptop, tablet, or smartphone, 24/7, 365 days a year, this HUB provides a wealth of resources designed to help athletes, coaches, and performance scientists elevating their expertise. Dive into transformative knowledge and take your performance to the next level.

Online Courses
Innovative topics to empower and elevate your learning.

expert mentors
Real-world expertise and evidence-based knowledge.

DIY Practical Tutorials
Detailed step-by-step guides, easy to follow.

Intuitive Platform
An intuitive hub designed for effortless navigation.
Online courses
Recovery Methods: From Evidence to Practical Recommendations
Scientific Evidence
Best Practices
Practical Recommendations
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Métodos de Recuperação: Da Evidência às Recomendações Práticas
Evidência Científica
Boas Práticas
Recomendações para a Prática
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Fatigue in Sport: From Theoretical Perspective to Practice
Mechanisms of Fatigue
Individualised Dose-Response
Monitoring Responses
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Fadiga no Desporto: Da Perspetiva Teoria às Boas Práticas no Mundo Real
Mecanismos da Fadiga
Individualização da Dose-Resposta
Monitorização das Repostas
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DIY Tutorials
Building a Dynamic HIIT Calculator with Power BI
HIIT builder in Power BI Desktop
User-friendly HIIT calculator
Interactive HIIT calculator
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Practical Solutions for Using Power BI Desktop on MacBooks
Install Windows with virtual machines
Windows for Intel and M-series chips
Power BI Desktop on MackBooks
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Practical Guide to Build an Accurate Load Cell for Sports
Guide to build a load cell step-by-step
Accurate and affordable solution
Python code integration
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Practical Guide to Build a Force Platform for Sports
Build a force platform
Accurate and affordable solution
Python code integration
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