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13/01/2020
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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02/09/2017
Dealing With External Coaches and Services in Professional Team Settings
By Mladen Jovanovic on 02/09/2017External coaches and services represent big elephant in the room when it comes to professional team sports. They affect team chemistry, injury risk, monitoring strategies and everything else. Hoever, sometimes they can be very positive and helpful thing.
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04/08/2017
Video Interview by Mark Lajhner on Combat Sports
By Mladen Jovanovic on 04/08/2017I had been recently interviewed by my friend and coach Mark Lajhner for his MMACoach.net website. After the practice we have sat and video recorded my answers to a few questions Mark prepared.
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26/07/2017
To Turf or Not to Turf, That is the Question [Part 2]: Applications
By Mladen Jovanovic on 26/07/2017In this video I am deploying the model to make the decision between 5 variations of weekly plan. The goal is to minimize the morning soreness on the day of the game.
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25/07/2017
Personality Profiling of the Athletes (and Coaches)?
By Mladen Jovanovic on 25/07/2017Screening athletes for movement faults has been all the rage recently. Predictive of injury or not, it is very helpful in clustering your athletes into groups of similar needs, and making individualization of training less hard.
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19/07/2017
Few Thoughts on the Warm-up
By Mladen Jovanovic on 19/07/2017Over the years, I’ve changed my point of view regarding the warm-up, from the idea that it represents a component with a distinctive objectives separated from the main part, towards the idea that it represents potent time to address individual needs while setting the stage for the themes of the main part.
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05/07/2017
To Turf or Not to Turf, That is the Question [Part 1]
By Mladen Jovanovic on 05/07/2017In this video I am presenting my “solution” to the problem and provide fake data set, as well as R code for analyzing the data. Having decent predictive model can help us run different optimization algorithms to find the “best” scheduling to minimize/maximize injury risk or performance.
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26/04/2017
Anti-Glycolytic Training for Crossfit?
By Mladen Jovanovic on 26/04/2017I accidentally stumbled upon Strongfirst For Crossfit article, which I urge you to read. Without going into the study design, although I would love to recommend the author to try to make the same analysis using Magnitude-based approach and maybe split the athlete to low-, med- and high-level to see if there are differences in training effect, I wanted...
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13/03/2017
Netflix Prize and Injury Prediction Prize
By Mladen Jovanovic on 13/03/2017The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings without any other information about the users or films, i.e. without the users or the films being identified except by numbers assigned for the contest. Which made me think – why don’t the “rich” clubs, such...
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08/01/2017
Thoughts on Cohesion Vs. Sport Science, Innovation Vs. Entropy and How to Hire the Best People and Then Give Them Your Program to Follow
By Mladen Jovanovic on 08/01/2017I was sitting yesterday with a friend of mine who was a professional basketball player, that played all around including Russia. He mentioned couple of clubs where he played, where upon his arrival, the team atmosphere wasn’t stellar...