Predicting Injuries Using Banister Model – The Addendum

Mladen Jovanović October 14, 2016

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A year ago I tried to use Banister model to predict injuries, but I recently realized I made an error implementing link function. So, I decided to do one more try and correct the problem.

In the video below I am using three training load metrics (RPE Load, Odometer and High Speed Distance) to predict soft tissue injuries for one athlete. I have covered a lot of topics regarding modelling in general, Banister model and its pro’s and con’s, as well as potential solutions. Also, I will talk more about using heuristics, rather than analysis in helping decision making.

The members of Complementary Training can download the Excel workbook and follow the video. Enjoy and let me know what you think!

Categories: Non-Membership Content

Tagged: Monitoring, Performance Analysis, Statistics, Theory

Mladen Jovanović

Mladen Jovanovic is a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which he considers his home town). He 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. Email | LinkedIn | Twitter | Facebook

Predicting Injuries Using Banister Model

Can we predict individual injuries from training load?
Watch the video to find out more.

Mladen Jovanović August 13, 2015

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The Best of Complementary Training in 2015

I know that the New Year is behind us and that these types of blog post should be done in late December, but due my relocation to Adelaide, Australia I had to postpone it till February.

Mladen Jovanović February 2, 2016

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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 and unsupervised learning and model overfit. Members can download the Excel workbook below the video and follow the “exercises” and play with the…

Mladen Jovanović September 8, 2015

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Banister Impulse~Response model in R [part 3]

Here is the another ‘playbook’, but this time on my own data set during high-frequency project I did in 2013. The data set features estimated 1RM using velocity (which I measure during the lifts). I have also measure Peak Velocity and Mean Power in CMJ w/20kg before lower body workouts. Those four are response variables.

Mladen Jovanović October 22, 2014

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Predicting Injuries Using Banister Model – The Addendum

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