Here we discuss the Premier League Festive football calendar and consider the recovery and travel demands for each club.

The NBA have just approved a new Player Participation Policy that limits player rest due to load. What does this mean for sports scientists?

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

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

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?

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?

AI providers in sports science need to intentionally craft their data visualisation designs to provide explainable & actionable outputs.

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

In this video, we discuss athlete load monitoring & specifically, player tracking technologies, such as GPS, IMU, LPS, & Optical tracking.

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.

Wellness questionnaires, also called Athlete Self Report Measures (ASRM), are an important part of a sports science load monitoring system.

When a measure becomes a target, it ceases to be a good measure. As sport is overflowing with measures and targets, this requires exploring.

Thanks to everyone who responded to my appeal to canvas industry opinion on artificial intelligence (AI) in high performance sport. I...

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