Posts tagged with ‘Statistics’

  • How to Analyze Training Load and Monitoring Data?

    By Mladen Jovanovic on 21/11/2017

    In this video I am sharing my viewpoints, as well as the dashboard I've built in Shiny, regarding how to make sense of longitudinal training load and monitoring data.

  • So you can predict the future… But can you change it?

    By Mladen Jovanovic on 11/10/2017

    I also love to call this problem “Terminator Problem”, since it is more understandable to coaches, since most of them have seen Terminator movies. The issue is, once we are able to “predict” the future (for example estimating injury likelihood in the next 7 days), can we actually change it?

  • Latest on Load Monitoring [Video & FREE Templates]

    By on 28/09/2017

    Sean Williams was kind enough to provide short review of the recent load monitoring workshop, held at the World Rugby Science Network Conference, as well as to provide full slides and Excel templates. This is tremendous resource for those interested in injury prediction analytics.

  • Novel Strength Metric: Video interview with Robert Frederick

    By Mladen Jovanovic on 10/09/2017

    I stumbled on Robert Frederic by accident, probably through Facebook. So, after exchanging few messages with him, I decided to do a video interview and a Q&A regarding the “exertion load” metric, as well as his app. We have also touched a bit on Velocity Based Training concepts. Enjoy this video and please leave your comments and questions on...

  • To Turf or Not to Turf, That is the Question [Part 2]: Applications

    By Mladen Jovanovic on 26/07/2017

    In 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.

  • To Turf or Not to Turf, That is the Question [Part 1]

    By Mladen Jovanovic on 05/07/2017

    In 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.

  • Netflix Prize and Injury Prediction Prize

    By Mladen Jovanovic on 13/03/2017

    The 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...

  • Uncertainty, Heuristics and Injury Prediction

    By Mladen Jovanovic on 07/03/2017

    I was asked by Rod Whiteley and Nicol van Dyk to contribute to the Aspetar Journal targeted topic issue that just got released off the press. I tried to combine my knowledge of predictive analytics, machine learning, philosophy of science, heuristics and practical experience as coach & sport scientist into one article. Hopefully I managed to create readable narrative.

  • Power BI Course for Sport Scientists – Video 1

    By Mladen Jovanovic on 04/03/2017

    I decided to create a course for sport scientists, to get you started with PowerBI. My bet is that PowerBI will become new Excel (if not already) and having the skills needed to produce reports will be needed as Excel skills are needed now. So, knowing how to learn PowerBI will put you ahead of the curve and...

  • Thoughts on Injury Prediction

    By Mladen Jovanovic on 08/12/2016

    In the following article, I am discussing the famous “J” curve in injury prediction, as well as simulate some data to show how that curve is estimated. I also show the distinction between association and prediction, as well as how to make training decisions based on the different costs of committing false positive and false negative errors.

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