Archive for 2021

  • AthleteSR and ShinyApps Dashboard

    By Mladen Jovanovic on 22/04/2021

    In this video, I will explain to you how quick and easy is to sync the data from AthleteSR with the AthleteSR Dashboard. I will also walk you through AthleteSR Dashboard functionalities and graphs, and how you can adapt the analysis to your needs.

  • Few Thoughts on MMA Program Design

    By Mladen Jovanovic on 12/04/2021

    How to design an S&C training program when you are not in charge of the overall plan? In the following video, I am explaining this topic for combat and MMA sport.

  • Designing Strength and Conditioning Programs

    By Mladen Jovanovic on 02/04/2021

    This how-to mini-course is an outstanding example of the “bottoms-up” approach to training design, where one deals with “where the rubber meets the road” constraints, such as facility limitations, equipment availability, team/group logistics, rather than the “top-down” approach of some textbook-style long term periodization.

  • Sports Vacancies in April 2021

    By on 01/04/2021

    Here are the best sports jobs in the market. During April, we will continuously update the list. Please share, and let’s get the word out!

  • Always Stay Critical – Review 1

    By on 24/03/2021

    When comparing groups of people in the way how they move, we first must make sure we do it in a way the acquired data can actually tell us something meaningful. Understanding and acknowledging some pitfalls when designing, conducting, and interpreting the data is crucial to NOT conclude something misleading or wrong.

  • Athlete Monitoring: Data Analysis and Visualization – The Dorem Package

    By Mladen Jovanovic on 17/03/2021

    In this video, I am explaining how the dorem package works and I am also preparing our data sets (i.e., training load and wellness) to be used in mapping training load to sleep quality.

  • Athlete Monitoring: Data Analysis and Visualization – Shiny AthleteSR Dashboard

    By Mladen Jovanovic on 12/03/2021

    Athlete Monitoring: Data Analysis and Visualization Shiny AthleteSR Dashboard In this video, I am walking you through the Shiny AthleteSR Dashboard. As explained in this and the previous video, this course and the athletemonitoring package were the result of my attempt to build this mockup dashboard for the AthleteSR developers. Everything covered in this course is implemented in this...

  • Athlete Monitoring: Data Analysis and Visualization – AthleteSR

    By Mladen Jovanovic on 12/03/2021

    Athlete Monitoring: Data Analysis and Visualization AthleteSR The idea for this course started when I developed an athlete monitoring Shiny dashboard for the AthleteSR, which is our app for athlete management (FREE for the Complementary Training members). The goal was to have a formalized way to analyze and visualize the data for our developers, so they can implement it...

  • Athlete Monitoring: Data Analysis and Visualization – Nominal Analysis

    By Mladen Jovanovic on 12/03/2021

    Athlete Monitoring: Data Analysis and Visualization Nominal Analysis To remind ourselves, nominal analysis is the same as the continuous (i.e., ratio scale) analysis, but with dummy coding, where each level is represented as an additional variable with 0 or 1. Thus, (rolling) proportions and counts are the methods used to analyze and visualize the nominal variables. In this video,...

  • Athlete Monitoring: Data Analysis and Visualization – Continuous Analysis

    By Mladen Jovanovic on 12/03/2021

    Athlete Monitoring: Data Analysis and Visualization Continuous Analysis In this video, I will explain how to use the prepare() function from the athletemonitoring package. This function/package allows us to implement everything we have covered so far in this course: Dealing with missing entries Dealing with missing days Acute and Chronic rolling windows for smoothing and trends Rolling functions Group...