This PhD Pinboard article by Tzlil Shushan explores how submaximal fitness tests (SMFTs) can be used to reliably and sensitively track...

This post explores how submaximal heart rate responses can be used to monitor aerobic fitness in team sport athletes without adding testing burden.

This PhD Pinboard article by Nikolaos Asimakidis bridges the gap between fitness testing research and practice in elite soccer, with a focus on test selection, data interpretation, and impactful data visualisation.

This PhD Pinboard article by Michael Gerhardy explores how wearable technology can be used to monitor neuromuscular fatigue in-situ in team sport athletes, helping sports science practitioners with training load management.

Here we introduce our new publication in IJSPP: Predicting Soccer Players’ Fitness Status Through a Machine-Learning Approach

With the 2022 FIFA Men's World Cup in Qatar over, we discuss how Premier League sports science staff can reintegrate their players.

The worst case scenario stemmed from practitioners & researchers seeking to understanding the most demanding passages of play. Is it valid?

Explore the evolution of sports injury causation models! Discover how various risk factors interact beyond training load.

The majority of the literature in load monitoring focuses on injury risk. However, performance is an outcome measure of interest too.

Rest and recovery are pertinent areas in Sports Science. Is there increased understanding in the optimum balance of training and rest?