I believe that the following video and the accompanying R code and data set will be very useful to sport scientists out there and will teach them extremely pragmatic technique in data mining.
I 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.
Most of us are collecting and analyzing training load data and readiness metrics (i.e. GPS training load, sRPE and wellness). The most common analysis method is to use two rolling averages windows – acute (around 7 day…
In this video I am explaining two methods to deal with missing values and why you should pay attention to the way you are aggregating data (daily, team averages, body soreness, etc).
Few days ago, I spoke with Cameron Josse, who is Director of Sports Performance at DeFranco’s Gym, regarding simple (or should I say, Minimum Viable Program – MVPr) endurance test for football athletes. I have direct…
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 examp…
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 …
What does this mean? It means that the score (maximum aerobic speed) reached in the COD corrected beep test can now be used in both long distance and shuttle based conditioning. The shuttle run beep tests so far didn’t…
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.
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