May, 2013 - Complementary Training

• # Self-Experiment in Frequent Training

By Mladen Jovanovic on 29/05/2013

I decided to try out frequent training (upper/lower 6x/week) with using higher volume (lots of sets) of low reps with submax intensity and effort to explode on every rep as fast as possible. Here is the Excel file with all the data and program outline. If someone wants to perform certain analysis be my guest – you can...

• # The Man Behind AccelerWare®: Interview With Stewart Briggs

By Mladen Jovanovic on 28/05/2013

The Man Behind AccelerWare®: Interview With Stewart Briggs I have been looking into software solutions to help me with keeping data at one place, along with helping me in design of workouts, year plans, testing results, training workloads and monitoring. Why?  Because Excel was never meant to be a database solution. A lot of coaches struggle with this  –...

• # Interview with Julen Castellano

By Mladen Jovanovic on 26/05/2013

Interview with Julen Castellano After reading couple of excellent recent research papers on GPS analysis of Small Sided Games (SSG) in soccer by Julen Castellano et al.  I decided to interview him. Julen was kind enough to accept the invitation and share his viewpoints and research findings. MLADEN: I am really glad I have the chance to discuss GPS data...

• # Statistics 101: Two-Sample Hypothesis Testing

By Mladen Jovanovic on 24/05/2013

I am slowly going through Statistical Analysis with Excel book and I am making simulation worksheets to understand the concepts. I have created the the worksheet with two populations and two pulled samples to get my mind on standard error of the difference between means which is used in Two-Sample Hypothesis Testing. I have used both Z-Test (when populations…

• # Statistics 101: Central Limit Theorem Simulation in Excel

By Mladen Jovanovic on 21/05/2013

Understanding Central Limit Theorem is of EXTREME importance in statistics. This concept usually sets the boundary line between people who understand statistics and people who don’t.