Training Stress Balance Workbook Con’t

Mladen Jovanović March 12, 2015

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Just released a new video where I dive deeper into calculating Training Stress Balance (TSB)!

In the previous video, I discussed two methods and their assumptions. But in this one, I unveil an even better approach by combining the strengths of both methods. 📊📈

Join me as I explore the disparities between calculus of TSB for ‘daily data’ (like training load) versus ‘occasional data’ (such as HRV and readiness metrics), and the role of EMA (Exponential Moving Averages) calculations. 🔄📉

I’ve also prepared an Excel workbook for you to play around with, and a screen cast where I guide you through the TSB method.

🎥 Don’t miss out! Check out the video now and let’s level up your training insights!

Categories: Membership Content

Tagged: Membership Video, Monitoring, Performance Analysis, Statistics, Theory, Video

Mladen Jovanović

Mladen Jovanovic is a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which he considers his home town). He was involved in physical preparation of professional, amateur and recreational athletes of various ages in sports such as basketball, soccer, volleyball, martial arts and tennis. Email | LinkedIn | Twitter | Facebook

Training Stress Balance: Two Methods of Calculation and Assumptions

In this blog post I will share with you the Excel workbook you can play with, and also the screen cast of me explain how to use the TSB method. I am also discussing different pro’s and con’s of two very similar ways of calculating Chronic and Acute Load and their assumptions.

Mladen Jovanović March 7, 2015

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Training Stress Balance: Adjusting the Training Load

This is a follow up on the recent posts regarding Training Stress Balance (Part 1, Part 2, Part 3). In this post I discuss a way to adjust (cumulative) chronic training load using training monotony and ratio between Acute Training Load and Chronic Training Load.

Mladen Jovanović June 17, 2015

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Few Simple Improvements to Monitoring Data Analysis

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 days) and chronic (around 28 days) and to calculate their ratio, referred to as ACWR (Acute to Chronic Workload Ratio), or TSB (Training…

Mladen Jovanović February 22, 2018

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Predicting Performance Using Rolling Averages

I wrote before on using Banister model to predict performance and injury from training load. In the video below I am talking about using rolling averages to predict performance, as well as explaining differences between supervised and unsupervised learning and model overfit. Members can download the Excel workbook below the video and follow the “exercises” and play with the…

Mladen Jovanović September 8, 2015

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Training Stress Balance Workbook Con’t

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