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.

In this post, we’ll explore how to read the force-time curve in detail, highlight what the different phases tell us, and walk through real examples.

In this post, I demonstrate 5 AI tools sports scientists can use to work more effectively and efficiently.

Learn how to calculate the Reactive Strength Index with three different jump testing methods. Reactive strength is an essential physical...

In this post, I delve into VALD's new training mode feature, and how it can be applied with NordBord and ForceFrame.

This post discusses our new open access research article on data analytics practices and reporting strategies in football worldwide.

This post explains how heart rate training impulse (TRIMP) is calculated and why it matters in athlete monitoring.

This post introduces Action Apps Virtual Assistant (AAVA) and includes a video demonstration of the AI-powered chatbot.

This post explains how to calculate and use the Eccentric Utilization Ratio (EUR) from squat jump and countermovement jump data.

This post explores the Training Adaptation Predictability Problem & its implications for monitoring athlete training programmes effectively

This post explores the potential for screening tests to predict sports injury and how they fit into an injury risk minimization framework.

I explore five pivotal trends in sports science that are coming to the fore in 2025.

This post explores how sports science practitioners can navigate the tension between complexity and simplicity in their communication.

This video with Sport Horizon discusses their new Power BI for S&C Coaches course and includes a data viz demo.

The following excerpt is taken from the VALD eBook 'Practitioner's Guide to Shoulders'.