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Jo Clubb
4 min read
Defining high-speed, acceleration, and deceleration efforts in sport
This post explores the use of the minimum effort duration in GPS technology to define high-speed, acceleration and deceleration efforts.

Jo Clubb
3 min read
Keeping Performance at the Heart of Sports Science
The Performance Cycle is a framework for Sports Scientist to help them keep performance, not just injury, at the forefront of their roles.

Jo Clubb
2 min read
Training Load Monitoring: Academic & Practitioner Perspective
I joined Dr Stuart McErlain-Naylor of Loughborough University for a two-part collaboration talking athlete load monitoring.

Jo Clubb
6 min read
Looking Beyond Training Load in Injury Risk Forecasting
My comment on Zone7’s white paper: The Importance of Workload, Strength, Recovery and Environmental Context Data in Injury Risk Forecasting

Jo Clubb
3 min read
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
4 min read
The Pareto Principle in Sports Performance: Why Less is More
According to the Pareto Principle, 80% of results will come from 20% of the inputs. So what does this mean in sports science & performance?

Jo Clubb
7 min read
Influencing Risk: From Military to Sports Injuries
The book "Risk: A User's Guide" highlights that we cannot eliminate risk but must focus our energies on boosting our “Risk Immune System”.


Jo Clubb
1 min read
Applications of Artificial Intelligence within High Performance Sport
Here you'll find a link to my new free report with Zone7, entitled Applications of Artificial Intelligence within High Performance Sport.


Jo Clubb
2 min read
How to Combine Internal & External Training Load Monitoring
This video discussing how the relationship between internal and external training load can be used to assess athlete fitness fatigue status

Jo Clubb
6 min read
Man and Machine: A Hybrid Approach to Athlete Load Management
Is it Man vs Machine when it comes to using artificial intelligence with athlete training load management, or can we use a hybrid approach?

Jo Clubb
6 min read
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
4 min read
Managing World Cup Fatigue in the Premier League
With the 2022 FIFA Men's World Cup in Qatar over, we discuss how Premier League sports science staff can reintegrate their players.


Jo Clubb
3 min read
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
8 min read
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
5 min read
Wellness Questionnaires for Athlete Monitoring
Wellness questionnaires, also called Athlete Self Report Measures (ASRM), are an important part of a sports science load monitoring system.

Jo Clubb
5 min read
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
3 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
1 min read
Load Monitoring Frequently Asked Questions
I am pleased to share my new white paper: "Load Monitoring: Frequently Asked Questions". In it, I seek to answer 10 commonly asked questions


Jo Clubb
1 min read
Tracking Systems in Team Sports: Back to Basics
I'm delighted to share our new open access article on Sports Performance and Science Reports: Tracking Systems in Team Sports Back to Basics

Jo Clubb
5 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.
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