When designing a total score we had to account for a variance athlete to athlete. Our plan was to build a score that would represent the total output of a shoulder daily and that could be used to construct a dynamic program model for each individual athlete. 

Knowing our technology would offer an accurate objective output we set out to first normalize the data to athletes no matter their age, size or level of play. To do this we utilized inverse dynamics and established test to test calculations for all 9 of our daily TISO tests. 

With all 9 tests independently calculated we simply added up the values to establish a daily total “TISO Score”. 

It is important to note TISO Scores vary athlete to athlete. As we build our database we will look to do further research around what a “good” or “bad” TISO Score range will be. More importantly though we believe there might be further applications of workload management with such a score yielding consistency in daily change. 

From this score we can establish athlete ranges and apply advanced searches on our databases to select daily programming best suited for individual athletes. Overtime we find athlete progression in strength as this system autoregulates athlete training daily.

---

Now that we have covered the construction of our TISO Score we will move into our next unit where we will discuss autoregulation and how we use it to establish the best path for each individual athlete daily.