INSCYD users have a clear advantage over their opponents who still work with conventional performance diagnostics. To make the most out of this (metabolic) data, AZUM developed a platform that enables coaches to implement INSCYD data in everyday training. This makes impractical Excel tables or inaccurate training zones a thing of the past. Here are some examples of how combining INSCYD with AZUM can take your coaching to the next level:
Thanks to an (API) integration with our partner coaching platform AZUM, all data which can be determined via INSCYD is mapped 1:1 into AZUM. This goes for any sports discipline. Let’s look at 3 applications.
Import Physiological Performance Benchmarks and training zones
After your athlete performed an INSCYD test, the physiological performance benchmarks are directly imported into the AZUM platform via API.
The same goes for the training zones. The newly determined training zones from INSCYD data are sent directly to AZUM as a new metabolic profile or supplemented and overwritten as an update to the current metabolic profile.
By combining the Physiological Performance Benchmarks with training zone date, AZUM is able to map training zones in load charachteristic graphs. Here’s an example of training zones in the fat- and carbohydrate combustion graph:
Create and analyse workouts based on INSCYD data
When creating a training program in AZUM, you can easily use the INSCYD training zones. Monitoring the intensity distribution and analyzing the training process is super easy, since AZUM maps the energy distribution over time:
Track energy expenditure
The INSCYD fat- and carbohydrate graph shows how much energy is burned at any exercise intensity, and where the energy comes from:
AZUM uses this information to track your athlete’s energy expenditure. It does so for planned training sessions and basal metabolic rates. You can now combine this with a nutrition plan and compare energy intake to energy expenditure:
Track your athlete's development
Last but not least, you can save and reuse different metabolic profiles per athlete. This makes it possible to see the development of an athlete over different time periods. On a long-term working period the past workouts are easily visible and can be taken into analyses account.
Learn more about creating efficient training programs, using INSCYD and AZUM via this webinar: How to set up efficient athlete training programs. Or learn more about the AZUM platform via the button: