Athlete Monitoring: Data Analysis and Visualization – Normalizing Individuals

Athlete Monitoring: Data Analysis and Visualization

Normalizing Individuals

Some individuals might be high raters or low raters, or highly or low variable, particularly for subjective ratings such as wellness items (e.g., “how did you sleep; from 1 to 10” questions). This can also be applied, particularly high vs. low ratings, for training load, such as weekly distance run for novice vs. experienced runners. Continuous comparison between individuals done at absolute or raw scales might be missing these individual variations.

In this lecture I will explain the few techniques that can be used to make the comparison more “fair”, particularly for the purpose of figuring out the change in individual monitoring.

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I am a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which I consider my home town). I was involved in physical preparation of professional, amateur and recreational athletes of various ages in sports such as basketball, soccer, volleyball, martial arts and tennis. Read More »

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