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Why Every Practitioner Needs to Know Goodhart’s Law
When a measure becomes a target, it ceases to be a good measure. As sport is overflowing with measures and targets, this requires exploring.
Jo Clubb
5 min read


Diving Deeper into AI in Sport
Thanks to everyone who responded to my appeal to canvas industry opinion on artificial intelligence (AI) in high performance sport. I...
Jo Clubb
3 min read


Three Steps to Reducing Training Load Overwhelm
This post provides three action steps to help practitioners feel less overwhelmed by big data when monitoring athlete training load.
Jo Clubb
5 min read


Measurement properties in standardised soccer games
Measures of distance and "PlayerLoad" demonstrated good reliability on a group level across trials of standardised football training games
Jo Clubb
3 min read


Examining the Worst Case Scenario Approach
The worst case scenario stemmed from practitioners & researchers seeking to understanding the most demanding passages of play. Is it valid?
Jo Clubb
5 min read


The End of Average… in Sports Science
This post discusses the book 'The End of Average' and what the talking points mean in the context of sports science. When was the last...
Jo Clubb
5 min read


Data Organisation in Spreadsheets
This posts explains important considerations for how to organise data in spreadsheets for sports science.
Jo Clubb
6 min read


Interlimb Asymmetry: Calculations, Interpretations & Adding Direction
This guest post from Chris Bishop discusses everything you need to know about calculating athlete asymmetries!
Guest
12 min read


The Debate on the Acute:Chronic Workload Ratio: Part 2
Part One of our Acute: Chronic Workload Ratio (ACWR) debate series outlined some of the contemporary research that include the metric in...
Jo Clubb
6 min read


The Debate on the Acute:Chronic Workload Ratio
This post discusses the science behind the Acute Chronic Workload Ratio (ACWR) and how appropriate it is to use for training load...
Jo Clubb
6 min read
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