When using Zwifts performance data for event tapering, whats the most effective way to balance the decrease in overall volume and intensity with the need to maintain some level of specificity and simulation of the actual event, particularly when the event is a high-intensity, short-duration effort like a criterium or time trial?
Is it more beneficial to focus on reducing the overall volume of training while maintaining the same level of intensity, or is it better to reduce the intensity of workouts while maintaining a similar volume, and if so, whats the ideal ratio of reduction in volume versus intensity?
Additionally, how do you account for the potential differences in Zwifts virtual environment versus the actual event environment, such as differences in terrain, weather, and equipment, when using Zwifts performance data to inform tapering decisions?
What are the key performance indicators (KPIs) that should be prioritized when analyzing Zwifts performance data for tapering, such as power output, heart rate, or perceived exertion, and how do these KPIs change depending on the specific event and athlete?
Are there any specific Zwift workouts or training plans that are particularly well-suited for event tapering, and if so, what are the key characteristics of these workouts that make them effective for this purpose?
Can Zwifts performance data be effectively used in conjunction with other data sources, such as power meters or heart rate monitors, to inform tapering decisions, and if so, how can these different data sources be integrated to provide a more comprehensive understanding of an athletes readiness for an event?
Is it more beneficial to focus on reducing the overall volume of training while maintaining the same level of intensity, or is it better to reduce the intensity of workouts while maintaining a similar volume, and if so, whats the ideal ratio of reduction in volume versus intensity?
Additionally, how do you account for the potential differences in Zwifts virtual environment versus the actual event environment, such as differences in terrain, weather, and equipment, when using Zwifts performance data to inform tapering decisions?
What are the key performance indicators (KPIs) that should be prioritized when analyzing Zwifts performance data for tapering, such as power output, heart rate, or perceived exertion, and how do these KPIs change depending on the specific event and athlete?
Are there any specific Zwift workouts or training plans that are particularly well-suited for event tapering, and if so, what are the key characteristics of these workouts that make them effective for this purpose?
Can Zwifts performance data be effectively used in conjunction with other data sources, such as power meters or heart rate monitors, to inform tapering decisions, and if so, how can these different data sources be integrated to provide a more comprehensive understanding of an athletes readiness for an event?