Jo Clubb
Transforming Sports Science Data with T-scores & STEN
In this video, we'll discuss different ways you can utilise the standard ten (STEN) score and t-score calculations in sports science.
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Jo Clubb
- May 17
- 1 min
An Introduction to Z Scores in Sports Science
In this video, I discuss how to calculate a z score and why it can be so valuable in sports science.
Jo Clubb
- May 3
- 1 min
What is Invisible Monitoring in Sports Science?
This video discusses how invisible monitoring can be used in sports science. Invisible monitoring can negate the need for fitness testing.
Jo Clubb
- Jan 11
- 6 min
Optimising Load Management with AI: A Look at Output Design
AI providers in sports science need to intentionally craft their data visualisation designs to provide explainable & actionable outputs.
Jo Clubb
- Dec 7, 2022
- 7 min
Illuminating the Black Box in Search of Greater Transparency in Sports Science
Sports scientists want to unpack the black box in sports technology but how can this work with artificial intelligence (AI) data science?
Jo Clubb
- Nov 30, 2022
- 1 min
Player Tracking Technology Data Collection Essentials
In this video, we discuss athlete load monitoring & specifically, player tracking technologies, such as GPS, IMU, LPS, & Optical tracking.
Jo Clubb
- Nov 9, 2022
- 8 min
Why Context is a Must in Sports Science AI
Why context is key in sports science data, and therefore any AI system too. But we should beware when our so-called context becomes bias.
Jo Clubb
- Sep 28, 2022
- 9 min
Big Data? Assessing Sports Science Inputs for AI Modelling
Is the 'Big Data' collected in sports science big enough to train Artificial Intelligence models? Is the data quality clean enough?
Jo Clubb
- Sep 1, 2022
- 8 min
An AI Dictionary for Sport Scientists
Terms like AI & Machine Learning are poorly understood. With Zone7, we have put together an AI dictionary for sport science practitioners.
Jo Clubb
- Aug 16, 2022
- 5 min
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
- Jul 13, 2022
- 3 min
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
- May 25, 2022
- 1 min
Investigating Artificial Intelligence in Sport
I want to canvas industry opinion on artificial intelligence in high performance sport. What thoughts, questions, or concerns do you have?
Jo Clubb
- Mar 16, 2022
- 5 min
Three Steps to Reducing Training Load Overwhelm
Monitoring training load aims to transform data into objective information that can inform decision making for athlete management.
Jo Clubb
- Jul 2, 2020
- 5 min
Why we Need to Rethink using Bar Graphs
Data visualisation is an important skill for all sports scientists. Here, we consider how we best display data in graphs.
Jo Clubb
- Jun 1, 2020
- 4 min
The End of Average… in Sports Science
When was the last time you calculated an average? Or referred to an average? Or read a finding in a study presented as an average? As...
Jo Clubb
- Oct 15, 2019
- 6 min
Data Organisation in Spreadsheets
Last year an article was published in The American Statistician that is pertinent to those working with sports science data. The...
Guest
- May 3, 2019
- 12 min
Interlimb Asymmetry: Calculations, Interpreting Data and Adding Direction
We are delighted to welcome Dr Chris Bishop for this guest post on calculating interlimb asymmetries. Chris is a Senior Lecturer at the...
Jo Clubb
- Apr 25, 2016
- 6 min
Acute:Chronic Workloads and Rehabilitation: A Case Study
Last month I was invited to write a guest blog on Plinths and Platforms about load monitoring and rehabilitation. It included an...
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