An Introduction to Athlete Monitoring with STATSports

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This course is your practical introduction to GPS and performance monitoring, built for anyone who is new to sports science and athlete tracking. Whether you’re a coach, student or part of a performance team, the focus is on giving you simple, usable tools to better understand player performance, manage training load, and support athlete development.

Through real-world examples and applied learning, industry-renowned performance scientist Andrew Wiseman leads you through the foundations of GPS technology in field sports, how to interpret key performance metrics, and how to apply data in everyday training environments. Drawing on his experience with Arsenal FC, Queens Park Rangers, the Scotland Women’s National Team, and Celtic, the course delivers practical insight you can put into practice immediately.

At STATSports, our aim is to make GPS technology relevant and usable at every level of sport – delivering high-quality performance insight that is accessible, understandable and impactful from grassroots to elite.

You’ll learn the basics in:

  • Sports science in field sports
  • Athlete monitoring
  • Data collection and analysis
  • Training load
  • Planning training around player load
  • Applying GPS data
  • Using GPS data in rehabilitation

Course Content

Introduction to sports science and GPS
The role of sports science
Introduction to STATSports
Athlete monitoring in sport today 1 Quiz
Introduction to athlete monitoring technology
The basics of using GPS technology
Why we monitor athletes
Debunking myths around GPS technology
Key benefits of using GPS data 1 Quiz
Data collection and analysis
What do we want from the data?
What data is collected?
Applying metrics in team sport 1 Quiz
Monitoring training load with GPS
What is training load?
Planning around specific load demands
What athlete load management looks like 1 Quiz
Using GPS data to plan training
Introduction to periodisation
Training units explained
Example: Periodisation in practice
Things to consider when planning 1 Quiz
Interpreting and applying the data
Applying context to data
Effective data interpretation
Applying positional context
Example: Training max speed
Athlete interpretation 1 Quiz
Using GPS in athlete rehabilitation
The role of staff in the rehabilitation process
The role of data in athletes returning to play
Things to consider in rehabilitation 1 Quiz
STATSports certification exam