Functions of sports analytics.

The idea

Sports analytics uses data to describe, explain and predict performance. Its functions include collecting and organising match or training data, identifying patterns such as a player's most effective shot, comparing individuals or teams, monitoring workload and recovery, supporting talent identification, informing tactical decisions and evaluating interventions. For example, a netball analyst may chart centre-pass locations and find that a team loses possession when passing long, so the coach adjusts tactics. Analytics also supports injury-risk management by tracking load spikes. It does not make decisions automatically; coaches interpret outputs alongside context, experience and ethical considerations.

What earns the marks

• Describes the collection and organisation of performance data from matches, training or wearable devices.
• Explains pattern recognition, such as identifying strengths, weaknesses or recurring tactical events.
• Outlines comparison of athletes or teams using objective indicators like distance covered or pass completion.
• Describes monitoring of workload, recovery and injury risk over time.
• Explains how analytics informs coaching decisions, talent identification or evaluation of interventions.

Common mistakes and how to put them right

• Confusing analytics with simple video recording.

  Put it right: Analytics involves systematic data collection and interpretation, not just filming.

• Believing analytics replaces the coach.

  Put it right: It provides evidence that the coach interprets alongside contextual knowledge.

• Thinking analytics only applies to elite professional sport.

  Put it right: It can be used at any level where data are recorded and reviewed.

• Assuming more data always improves decisions.

  Put it right: Irrelevant or poor-quality data can mislead, so selection and integrity matter.

Exam tips

• In multiple-choice questions, choose the option that names a specific analytical function, such as pattern recognition or workload monitoring, rather than a general benefit.
• Reject options that describe technology hardware without saying what the data are used for.
• When a scenario is given, match the function to the decision the coach needs to make.