Archive for May, 2016

  • Minimum Viable Performance: Concept and Application in Training

    By Mladen Jovanovic on 28/05/2016

    Minimum Viable Product (MVP) is a concept from “Lean Startup” methodology. I believe it has a lot to offer to training problems, hence the change in the name to Minimum Viable Performance. I have already written about MVP in my Agile articles and videos, but wanted to give this concept some extra attention.

  • Testing and Training Agility in Sports [Part 3]

    By Mladen Jovanovic on 21/05/2016

    Technique of Running and Motion Direction Change - Running technique is crucial for the change of motion direction. More specifically, the slope of the body and low center of mass are essential in optimizing acceleration and deceleration, as well as for increasing stability.

  • What is Agility?

    By Mladen Jovanovic on 21/05/2016

    There has been a lot of hype around this guys "agility" training lately, but is it really agility? Should we stop this kind of training? Watch the video for more.

  • Undulating Programming with Strength Card Builder

    By Mladen Jovanovic on 19/05/2016

    In the previous video I explained differences between “traditional” and “undulating” approach to strength training planning. Here I describe how you can set it up in Strength Card Builder v4.0.

  • Rotations Planner

    By Mladen Jovanovic on 14/05/2016

    Rotations Planner is a very simple tool for planning rotations in Australian Rules Football that could be modified to do similar job in sports that utilizes planned rotations (e.g. ice hockey).

  • Undulating Programming

    By Mladen Jovanovic on 07/05/2016

    In this video and Excel workbook I explain (or rather provide more questions?) the difference between "traditional" and "undulating" programming.

  • Masked Relationships and Multicollinearity

    By Mladen Jovanovic on 04/05/2016

    In this video and R workbook I am “playing” with linear regression and I am trying to explain the concept of “controlling” for one variable (this is common in statistics, but I had hard time understanding it until I visualized the problem), masked relationships and multicollinearity.

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