Abstract Topic: Individual daily analysis of physical strain measurements, specifically chosen on basis of training load ? case by case analysis. Description: The aim was to construct a rather simply and in practise implementable method for perfect training management. Physical strain measurements, concerning muscular and general fatigue, comprise resting heart rate, heart rate variability, body weight and self-assessment parameter (1-5). Twice a day, all parameters get evaluated. In addition, training load will be recorded through TRIMP (TRraining IMPuls), and therefore a link between fatigue and physical stress individually selected. Result: All in all, four statistically significant and six possible parameters, for evaluating recovery process or partial fatigue have been detected. However, no significant correlations have been found between daily TRIMP and orthostatic data or any variance between morning and evening recordings. As every athletes body reacts differently to training load, individual empirical values (longitudinal studies) are essential for precise operation with all parameters. For that reason, a longitudinal study analysis has been favoured in this diploma thesis. Criticism: The approach was to find a in practise implementable method for perfect training management, best adjusted to individual training schedules. Thus, many parameters could not be maintained constant, which had a negative influence on all data?s quality.