Sleep tracking is common but do we consider the downsides? In this article we discuss the pitfalls and how to overcome them.

Force plate technology is widely used across sports & biomechanics labs to test athletic capacities. Go inside the technology in this video.

In this video, we take a look at some sports science trends we'll see in 2024.

This blog post discusses the importance of proactive training load management in times of fixture congestion in professional team sports.

If you monitor training load in multi-directional athletes (like in team sports), you need to watch this video on complete acceleration!

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”.

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.