August, 2013 - Complementary Training

• # Optimizing Groups for Small Sided Games (SSGs)

In the following video I will show you how to: a) Calculate normal scores for any test/statistic (percentiles & z-scores) and the difference between them; b) Calculate composite scores using weighting factors and normal scores; c) Use one great Excel tool – SOLVER to provide optimized solution for groups;

• # Individual Qualities vs Positional Demands

One frequent question I get from coaches and try to resolve myself is whether the conditioning should be based on individual characteristics (MAS, YOYO, VMAX, etc.) OR based on position demands? Find out the answer in the following article.

• # Naming the HIT Drills

I love the idea of naming certain drills/workouts (like Crossfit does using female names) because it is easier for the athlete to ‘personalize’ them and remember them. So, instead of saying we are going to do 30:30 intervals at 100:70% MAS, it might be easier to say “Boys, get ready for Bloody Mary”.

• # Analyzing Time-Series of Individual Data – Part2: Using Harmful/Trivial/Beneficial Chances

Just a quick update – after a comment by John Fitzpatrick (@JFitz138) on the use of Will Hopkins’s approach of calculating chances I decided to give it a shot. For a Typical Error (used together with SWC to calculate chances) I used SD of the Rolling Average.

• # Analyzing Time-Series of Individual Data

If you haven’t been living in a cave for the last couple of years, you definitely noticed an increase in data collection, data mining and visualization. HRV tracking, jump output tracking, estimating 1RMs from velocity-load data, game statistics, performance analysis, various testing statistics, body weight, Run Keeper, Run Tracker, and all that quantified-self movement.