The data used to calculate the T-scores presented in the software include all of the data from male and female populations collected over the years (millions of scans!). This allows for easy comparison between subjects and enables us to uncover powerful trends in human movement, which are universal. For example, the same underlying trends for hamstring injuries are found in soccer, football, and military populations. Aggregating these subgroups together creates a predictive model with greater statistical power. Our database is, however, segmented into more granular groups (age, activity type), enabling us to create more specific predictions (a baseball player is inherently more prone to a UCL injury than a soccer player due to the activities in which they engage).