Understanding of technology for sports analytics.

The idea

Sports analytics uses technology to collect, process and interpret data about performance so that coaches and performers can make evidence-based decisions. You need to understand what different technologies measure and how the resulting data is used. Video and motion analysis record movement so technique can be reviewed frame by frame; GPS and wearable trackers record distance, speed and work rate; heart-rate monitors indicate exercise intensity; force plates measure ground reaction forces and balance; performance-analysis software compiles match statistics such as passes and possession. Understanding means knowing the purpose of each tool, the type of data it produces and how that data informs feedback, training or tactics, as well as recognising limits such as cost, access and differences between testing and competition.

What earns the marks

• Identifies a named technology used in sports analytics, such as video motion analysis, GPS tracking, heart-rate monitoring, force plates or performance-analysis software.
• States accurately what that technology measures or records, for example distance and speed, heart rate, ground reaction force, or movement patterns.
• Explains how the data produced is used to inform feedback, training or tactical decisions.
• Distinguishes between technologies by purpose, for example technique analysis compared with physiological monitoring or match statistics.
• Recognises a limitation of sports analytics technology, such as cost, access, reliability or the difference between laboratory and competitive conditions.

Common mistakes and how to put them right

• Confusing what different technologies measure, for example assuming GPS measures heart rate.

  Put it right: Link each tool to its specific data output.

• Believing analytics data is automatically accurate and objective.

  Put it right: Recognise issues of reliability, validity and context.

• Describing a technology without stating how the data improves performance.

  Put it right: Connect data to feedback, training or tactics.

• Assuming all analytics technology is equally accessible.

  Put it right: Consider cost and level of competition.

Exam tips

• Read each option and check it against the specific data output of the technology named in the question.
• Eliminate options that describe a different technology's function before choosing.
• Where two options seem similar, choose the one that correctly links the technology to its use in improving performance.
• Revise technologies in pairs of what it measures and how the data is used.