Predicting Performance Using Rolling Averages
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Predicting Performance Using Rolling Averages

I wrote before on using Banister model to predict performance and injury from training load. In the video below I am talking about using rolling averages to predict performance, as well as explaining differences between supervised & unsupervised learning and model overfit.

Members can download the Excel workbook below the video and follow the “exercises” and play with the data and Solver/Optimizer themselves.
I highly suggest checking Data Smart book for more info on using the Solver/Optimizer in Excel.

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I am a physical preparation coach from Belgrade, Serbia, grow 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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Home Forums Predicting performance using rolling averages

This topic contains 1 reply, has 2 voices, and was last updated by  Mihailo Tomic 1 year, 2 months ago.

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  • 16/09/2015 at 07:48 #16500

    Hi,

    Is it possible to provide a copy of the performance dataset that you demonstrate here? I cannot find the same one within the Skiba datasets. Also the manipulation of training load from W to AU is confusing with your example being much clearer.

    Regards

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