The purpose of the studies was to evaluate practical measures for testing recovery status in the field setting with non-invasive variables of knee flexion range of motion (ROM), landing error scoring system performance (LESS), Rectus femoris cross-sectional area (CSA), thigh circumference (circumference), and heart rate variability (lnRMSSD). All of the studies required participants to complete the respective dependent variables, and then all studies completed the same performance battery, consisting of vertical jump (VJheight), isometric quadriceps strength (ISO), and time-to-peak isometric quadriceps strength (ISOTTP). The same exhaustive exercise was utilized in all three studies and incorporated broad jumps and a timed running course. Participants were then measured again for the dependent variables and performance measures following the exercise protocol, and then returned at 24, 48, and 72-hours for follow-up testing. Study 1 analyzed the knee flexion ROM and LESS; Study 2 analyzed Rectus femoris CSA and thigh circumference at 15 cm proximal to the superior pole of the patella; and Study 3 analyzed the correlations between lnRMSSD and CSA. Study 1: The pre-exercise values for ROM were related to ∆VJheight 24, ∆ISO24, ∆VJheight 48, and ∆ISO48. Pre-exercise LESS were related to ∆ISO24 and ∆ISO48. Study II: There were no significant relationships between the changes in CSA, circumference, and the performance variables over 72-hours. Study III: Changes in lnRMSSD and CSA were largely related immediately following the exercise protocol from baseline, and between baseline and 24-hour follow-up. In conclusion, knee flexion ROM and LESS can be used to predict the return of performance measures towards baseline following an exhaustive bout of exercise, but that the changes in Rectus femoris CSA and thigh circumference were not good indicators of recovery. However, there were large correlations between changes in lnRMSSD and changes in CSA immediately following exercise and at 24-hour follow-up, illustrating that lnRMSSD can detect both global and localized physiological responses following an exhaustive exercise bout. ROM and LESS may be appropriate for predicting the responses in performance measures, and lnRMSSD is sensitive to both global and localized perturbations to homeostasis following exhaustive exercise.