Membership Content

  • Spider Charts Sucks!

    By Mladen Jovanovic on 07/05/2014

    Spider Charts Sucks! I am openly sharing my opinion (backed up with work by Stephen Few) that spider charts sucks. It is time for the sport scientists to move away from PES (Pro Evolution Soccer; game on Sony Playstation) and similar games influencing how we visualize athlete profiles. Let’s assume we have a movement screen scores and we want...

  • Movement Screen (We Have Used)

    By Mladen Jovanovic on 26/04/2014

    When I was in Hammarby IF (Stockholm, Sweden) we (myself and PT Mikael Klotz) created our own screening tool, mostly using FMS and PCA ideas (along with reading some research papers). One thing that most screening systems lack, in my opinion of course, is evaluation of joint hyper mobility

  • Analysis of Metabolic Power data

    Analysis of Metabolic Power Data Using Power-Duration Profile in Team Sports

    By Mladen Jovanovic on 06/03/2014

    This is the idea I got from the Training and Racing with a Powermeter book by Hunter Allen and Andrew Coggan. It is an excellent and must read book on cycling, but also great book about endurance training in general…

  • Continuing with Statistical Power simulation in R

    By Mladen Jovanovic on 13/02/2014

    In the last blog post I created a simple simulation of statistical power (probability to identify effects when they are really there) calulation depending on the sample size and effect size (Cohen’s D using Will Hopkins effect levels).

  • “Power” to detect statistically significant effects based on sample size and magnitudes of effects

    By Mladen Jovanovic on 12/02/2014

    I was going through magnitude-based inferences materials by Will Hopkins and I am playing with R simulations. I wanted to see how many times I am able to detect statistically significant effects (p<0.05) depending on magnitude of effects (expressed as Cohen's D, and using Will Hopkins levels) and sample sizes.

  • Sport-Specific or “Culture-Specific”?

    By Mladen Jovanovic on 24/01/2014

    Recently a friend of mine and a fellow physical preparation coach, who was working with futsal and was preparing Olympic level Judokas, got an offer to take care of a pro basketball team. Since I was the one recommending him to the agent, I was questioned would he be a good fit, taking into account his lack of experience…

  • Training Periodization, Sprinting, Tempo, Charlie Francis, Technology and Much More [Discussion]

    By Mladen Jovanovic on 08/01/2014

    This is the discussion that emerged on my Facebook wall after my post on Stephen Seiler presentation for INSEP regarding the MENAGEMENT OF THE DISTRIBUTION OF TRAINING INTENSITY: THE POLARIZED MODEL and my suggestion for similar observation and experiment to Mike Tuchscherer involving powerlifters instead of endurance runners.

  • Playbook: Understanding MODERATION Through Simulation

    By Mladen Jovanovic on 31/12/2013

    Playbook: Understanding MODERATION Through Simulation Introduction I recently spoke with my college professor regarding the understanding of statistics, and I remarked that I learn the statistical concept the best (and with full comprehension) through simulation. He remarked that I might be in the minority of students (p<0.01 – see what I did here?). Not sure if this is true...

  • How to Visualize Test Change Scores for Coaches [Part 2]

    By Mladen Jovanovic on 26/12/2013

    To continue the previous How to visualize test change scores for coaches blogpost, here is another way to visualize individual change scores without falling for group averages. This way we can easily see individual ranks in both pre- and post- test, along with change score (which is also color coded). Quite easy to identify the outliers.

  • Understanding Inferential Statistics Using Correlation Example

    By Mladen Jovanovic on 19/11/2013

    In the following R and knitr experiment/blog post I will be documenting my play with correlation and inferences. I am just reading Discovering Statistics Using R by Andy Field and I am trying to code some staff from the book, plus experiment and see how inferential statistics work.