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sRPE and Wellness Dashboard
By Mladen Jovanovic on 09/06/2021With the AthleteSR and sRPE & Wellness Dashboard, athlete monitoring data collection and analysis has never been easier. Find out more in the following article.
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Athlete Monitoring: Data Analysis and Visualization – Calendar Heatmap
By Mladen Jovanovic on 30/05/2021In this lesson, I will show you how easily you can create the calendar heatmaps using the athletemonitoring package with only a few lines of code.
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Athlete Monitoring: Data Analysis and Visualization – Body Diagram Analysis
By Mladen Jovanovic on 20/05/2021In this video, I will teach you how you can use the AthleteSR body diagram to visualize and analyze the monitoring data. I want to thank Jose Fernandez for making this possible by creating polygon data for the AthleteSR body diagram and providing a sample code for the visualization.
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AthleteSR Monitoring Dashboard
By Mladen Jovanovic on 12/05/2021This video provides an overview of this easy-to-setup and FREE system that you as a Complementary Training member can start using right now. Make sure to check out how powerful this AthleteSR + AthleteSR Dashboard pack really is!
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AthleteSR and ShinyApps Dashboard
By Mladen Jovanovic on 22/04/2021In 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.
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Extending the Classical Test Theory with Circular Performance Model
By Mladen Jovanovic on 13/01/2020In this video, I will go more into these details and also provide an extension of this model, which I termed Circular Performance Model (CPM). CPM, in my opinion, better represent performance phenomenology we experience as coaches and athletes.
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Predicting non-contact hamstring injuries by using training load data and machine learning models
By Mladen Jovanovic on 17/12/2018Research has shown that there is an association between training load and likelihood of suffering non-contact injuries. But can we predict the injury? In this paper I have tried to predict non-contact hamstring injury by using two seasons day-to-day training load data.
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Smallest Worthwhile Change: Individual vs Group
By Mladen Jovanovic on 10/11/2018Smallest Worthwhile Change: Individual vs Group If you haven’t been living under a rock over past few years, you must be familiar with Will Hopkins work on magnitude-based inferences (MBI). One of the basis behind MBI is defining smallest practically meaningful change, or smallest worthwhile change (SWC). Together with Typical Error (TE) of a test, SWC is very needed...
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Data Preparation for Injury Prediction
By Mladen Jovanovic on 23/08/2018I have recently wrote a technical note (actually a video) for Sport Performance and Science Reports journal regarding Data Preparation for Injury Prediction. Both data and R core are available on GitHub repository.
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Fantastic Sport Analytics Papers & Resources
By Mladen Jovanovic on 03/03/2018I have recently stumbled on a few great papers that outline very useful statistical techniques, that are VERY applicable to sport and training analytics. If you are interested in analytics, this is a gold mine.