In this video, we'll discuss different ways you can utilise the standard ten (STEN) score and t-score calculations in sports science.

This YouTube video discusses everything you need to know about using the isometric mid thigh pull strength test with your athletes.

This post explains the Dynamic Strength Index, a calculation for sports scientists from a CMJ and IMTP that can guide training programming.

This video will show you how to use the VALD Performance ForceFrame to measure strength in the hip and groin area.

This post explores the use of the minimum effort duration in GPS technology to define high-speed, acceleration and deceleration efforts.

In this video, we're going to discuss hamstring testing, and specifically the Nordic Hamstring Exercise (Russian Leans) strength test.

Here I share my top 12 business tools that I use to deliver my sports science consultancy services with Global Performance Insights.

The Performance Cycle is a framework for Sports Scientist to help them keep performance, not just injury, at the forefront of their roles.

I joined Dr Stuart McErlain-Naylor of Loughborough University for a two-part collaboration talking athlete load monitoring.

My comment on Zone7’s white paper: The Importance of Workload, Strength, Recovery and Environmental Context Data in Injury Risk Forecasting

In this YouTube video, I'm going to explain the simple solution to research referencing. Zotero is a free citation management software.

In this video, I discuss how to calculate a z score and why it can be so valuable in sports science.

Adam Grant's book, Think Again, delves into rethinking and is important for sports science to consider how they think.

This video discusses how invisible monitoring can be used in sports science. Invisible monitoring can negate the need for fitness testing.

According to the Pareto Principle, 80% of results will come from 20% of the inputs. So what does this mean in sports science & performance?

Video of my episode on the HIIT Science Training Science podcast, discussing AI, ChatGPT, sports science careers, and diversity in staff.

The book "Risk: A User's Guide" highlights that we cannot eliminate risk but must focus our energies on boosting our “Risk Immune System”.

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

This video discussing how the relationship between internal and external training load can be used to assess athlete fitness fatigue status

Is it Man vs Machine when it comes to using artificial intelligence with athlete training load management, or can we use a hybrid approach?