Also referred to as RL, this is part of the XPMC and represents the exponentially-weighted moving average of activity XSS values based on the Recovery Load Time Constant.  It can be subdivided into Peak, High and Low Recovery Load.  It is analogous to Acute Training Load in Banister’s Impulse Response Model.

Recovery load quantifies how much recovery you need based upon the recent training you’ve been doing.  It rises when activities are performed based on the XSS you accumulate and slowly declines over time.  In Xert, the more training you do, the less of an impact Recovery Load has on you.  Imagine when you first started training, how much recovery you would need after doing a hour ride.  When you train, you need less time to recover from these same rides.

In Xert, you don’t need to keep track of Recovery Load directly.  The software will summarize how much recovery you need and simplify this by using Training Status and Form.