What are the key differences in how Zwift and TrainerRoad calculate their respective intensity factor metrics, and how do these differences impact the accuracy of ride data and training plans.
It seems that both platforms use a combination of power output, heart rate, and perceived exertion to determine intensity factor, but the specific algorithms and weightings used are not publicly disclosed. Does anyone have insight into how these algorithms differ, and what implications this might have for athletes trying to compare data across platforms.
For example, are there certain types of workouts or rider profiles that are more likely to result in divergent intensity factor scores between Zwift and TrainerRoad. And how do these differences impact the effectiveness of training plans and workouts designed on one platform but executed on the other.
Its also worth considering how these differences might be affected by the specific hardware and equipment used, such as power meters, heart rate monitors, and smart trainers. Are there certain configurations that are more likely to result in accurate and consistent intensity factor data across both platforms.
Finally, what are the implications of these differences for athletes who are using both platforms as part of their training regimen. Are there any best practices or workarounds for reconciling intensity factor data across Zwift and TrainerRoad, or for using data from one platform to inform training on the other.