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Mladenverse: Collection of R Packages
By Mladen Jovanovic on 18/01/20212020 was a tough year for many. I took the lockdown as an opportunity to finish some old projects, start new ones, and learn new skills.
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Athlete Monitoring: Data Analysis and Visualization – Rolling Functions
By Mladen Jovanovic on 15/01/2021Rolling functions are useful in describing trends over time. These can be any type of descriptive functions, like means, medians, standard deviations, and so forth.
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Athlete Monitoring: Data Analysis and Visualization – Aggregation
By Mladen Jovanovic on 08/01/2021In this lecture, I explain the basics of data aggregation and a few issues that you might stumble upon, as well as their solution.
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A Practical Guide to Small Sided and Conditioned Games
By Lorcán Mason on 03/01/2021SSGs are game-based training drills that are characterised by the alterations of pitch size, player numbers, and rules.
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Athlete Monitoring: Data Analysis and Visualization – Tags
By Mladen Jovanovic on 25/12/2020Tags are simple descriptors that can help you in your analysis, and can also potentially expand the number of questions you can answer. In this video, I will introduce session descriptors (i.e., type, location, attendance) and athlete descriptors (i.e., health status, training status).
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Fight Camp Planning – a Big Picture Approach
By Lukas Pezenka on 21/12/2020There are different camps when it comes to the best periodization model. Some coaches prefer block periodization, others have achieved great success with linear models. In this article, Lukas Pezenka outlines a narrative-based framework that he used with one of his MMA athletes at the Austrian 2020 nationals.
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Strength Card Builder v5.1 is Here!
By Mladen Jovanovic on 15/12/2020Strength Card Builder v5.1 is finally here! This new version features an EXPANSION PACK that allows you to add exercise images to your workout cards.
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Athlete Monitoring: Data Analysis and Visualization – Foundation
By Mladen Jovanovic on 04/12/2020In this module, we are going to cover foundational topics that are needed to progress this course to more practical data wrangling, analysis and visualization.
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Athlete Monitoring: Data Analysis and Visualization – Introduction
By Mladen Jovanovic on 26/11/2020In this first module, I will (hopefully) provide a “Big Picture” overview of what athlete monitoring is, as well as introduce a few theoretical models that guide my rationale and inferences.
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Athlete Monitoring: Data Analysis and Visualization – Course Description
By Mladen Jovanovic on 26/11/2020In the Athlete Monitoring course, we will build things from the ground up. You will learn different data types, different data formats, their pros and cons, how to aggregate and smooth the data, and much more.