In this guest post, Sports Scientist Ashmeet Anand shares how he combines coaching intuition with advanced statistical techniques to transform athletic assessment of force plate data.

This post provides sports practitioners with an introduction to artificial intelligence and machine learning in sport.

This comprehensive guide delves into z-scores, t-scores, and STEN scores, specifically their calculations, and practical applications.

What data viz tool should sports scientists use for their analytics? In this video we discuss options and share a demo of Microsoft PowerBI.

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

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

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

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.