Athlete Monitoring: Data Analysis and Visualization – Normalizing IndividualsBy Mladen Jovanovic on 27/01/2021
In this lecture I will explain the few techniques that can be used to make the comparison more “fair”, particularly for the purpose of figuring out the change in individual monitoring.0
Athlete Monitoring: Data Analysis and Visualization – Nominal Rolling FunctionsBy Mladen Jovanovic on 22/01/2021
In this lecture, I continue with the solution to the problem of dealing with nominal variables using rolling functions. The presented solution is to use dummy coding and aggregating session using means, which gives us rolling proportions.
Mladenverse: Collection of R PackagesBy Mladen Jovanovic on 18/01/2021
2020 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.
Athlete Monitoring: Data Analysis and Visualization – Rolling FunctionsBy Mladen Jovanovic on 15/01/2021
Rolling functions are useful in describing trends over time. These can be any type of descriptive functions, like means, medians, standard deviations, and so forth.
Athlete Monitoring: Data Analysis and Visualization – AggregationBy Mladen Jovanovic on 08/01/2021
In this lecture, I explain the basics of data aggregation and a few issues that you might stumble upon, as well as their solution.
A Practical Guide to Small Sided and Conditioned GamesBy Lorcán Mason on 03/01/2021
SSGs are game-based training drills that are characterised by the alterations of pitch size, player numbers, and rules.
Sports Vacancies in January 2021By Mihailo Tomic on 02/01/2021
Here are the best sports jobs in the market. During January, we will continuously update the list. Please share, and let’s get the word out!