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

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

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

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.

Sports scientists want to unpack the black box in sports technology but how can this work with artificial intelligence (AI) data science?

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.

Is the 'Big Data' collected in sports science big enough to train Artificial Intelligence models? Is the data quality clean enough?

Terms like AI & Machine Learning are poorly understood. With Zone7, we have put together an AI dictionary for sport science practitioners.

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

This post provides three action steps to help practitioners feel less overwhelmed by big data when monitoring athlete training load.

I'm excited to share a new review: Tracking Systems in Team Sports: A Narrative Review of Applications of the Data &Sport Specific Analysis

The Precision Practicality Tradeoff describes the compromise between these two factors. Here we discuss how practitioners can optimise this.

When considering a data collection process, it is important to deliberate on both value and burden it will place on the athlete.

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

This post outlines our new publication in the International Journal of Sports Medicine on how training load is used for athlete...