The landscape of elite sport is constantly evolving with advancements in training techniques, sports science, and player conditioning. As such, it is essential that our software platform provides accurate normative data for specific populations and allows us to better understand relationships between current athlete profiles and injury trends.
To support evidence-based practice in elite sports, we have updated our Major League Soccer (MLS) normative dataset. This dataset, now significantly expanded in volume to enhance athlete comparison accuracy, is built upon advancements in sports science and athlete conditioning, providing performance and medical staff with critical insights for athlete evaluation, strength training, and injury management.
Users can compare individual athlete or patient data to the MLS cohort within the Hip, Thigh, and Ankle regions. The platform utilizes percentile-based charting of standardized protocols, with automated data normalization facilitating comparisons across diverse athlete populations. Selection of specific data points reveals the strength requirements for each percentile, aiding in individualized goal setting. Visualizations of absolute and normalized strength, inter-limb asymmetries, and intra-limb synergistic balance are provided for comprehensive data interpretation.
The launch of this updated MLS normative data set reflects our dedication to meeting the evolving needs of the football and indeed 'upper quadrant' community and empowering users with cutting-edge tools that inform and guide athlete development and care across a variety of sports.