Performance analysis in football is constantly evolving, and having organized and structured data is essential to optimizing team preparation. With this in mind, OLIVER PRO has introduced a new feature that allows coaches and fitness staff to classify training sessions using MD tags (Match Day -1, Match Day -2, etc.), making it easier to compare and analyze data over time.
In high-level football, workload planning plays a crucial role in both performance and injury prevention.
By implementing MD tags in OLIVER PRO, training sessions can now be automatically categorized based on their proximity to a match. This creates a structured training history that enhances decision-making and data interpretation.
✅ Accurate session comparison: Enables the analysis of similar sessions over time, identifying patterns and workload variations.
✅ Optimized preparation: Facilitates the planning of pre- and post-match training sessions, ensuring proper workload distribution.
✅ Injury prevention: Helps detect trends in physical strain and workload, allowing for better decisions to reduce injury risks.
✅ Structured and accessible data: Improves long-term performance management, allowing for comparative studies from 5 to 50 weeks.
This update marks another step forward in OLIVER PRO's technology, designed to provide increasingly precise and effective tools for performance analysis. By enhancing data organization, coaches and fitness professionals can leverage GPS monitoring more strategically, ensuring each training session aligns with performance and recovery goals.
As football continues to shift towards a data-driven era, OLIVER PRO remains committed to innovating and delivering solutions that simplify the work of sports professionals.
🚀 Want to learn more about how OLIVER PRO is transforming performance management in football?