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
Jo Clubb
2 min read
Predicting Soccer Players’ Fitness Status Through a Machine-Learning Approach
Here we introduce our new publication in IJSPP: Predicting Soccer Players’ Fitness Status Through a Machine-Learning Approach
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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.
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Jo Clubb
5 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?
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Jo Clubb
8 min read
The Evolution of Injury Causation Models in Sports Science
Explore the evolution of sports injury causation models! Discover how various risk factors interact beyond training load.
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Jo Clubb
7 min read
Is There a Tug of War Between Injury Risk and Performance?
The majority of the literature in load monitoring focuses on injury risk. However, performance is an outcome measure of interest too.
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Jo Clubb
2 min read
… But Does Injury Availability Affect your Team’s Physical Outputs?
Last month we explored the evidence base supporting the notion that athlete availability reduces your team’s chance of success. That post...
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Jo Clubb
12 min read
Exploring the Science Behind Resting Athletes
Rest and recovery are pertinent areas in Sports Science. Is there increased understanding in the optimum balance of training and rest?
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