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Creating a Live and Flexible Normative Dataset for Netball.

Hayden Croft^1,2, Kirsten Spencer², Noeline Taurua³

¹Institute of Sport Exercise and Health, Otago Polytechnic, Dunedin, New Zealand.

Frontiers in Sports and Active Living

|November 8, 2021

Summary

This study developed an automated system to organize, normalize, and contextualize netball performance data, creating benchmarks for player assessment. Coaches now have valuable tools for evaluating player performance across different levels and positions.

Keywords:

analytics big data coaching (performance)netball normative data performance analysis

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Area of Science:

Sports Science
Performance Analysis
Data Science

Background:

Netball performance data lacks established normative benchmarks for contextualization.
Coaches and players currently utilize performance statistics without standardized comparative data.
Existing research identifies ample data sources for netball performance.

Purpose of the Study:

To develop a system for automating the organization, normalization, and contextualization of netball performance data.
To create benchmarks for assessing player performance across competition levels and positions.
To provide insights for performance analysts on presenting real-time reporting tools.

Main Methods:

Systems design methodology was employed to create the data processing system.
A case study approach was used to gather expert coach feedback.
Visual representations of netball performance population data were evaluated for usability.

Main Results:

An automated process for organizing, normalizing, and contextualizing netball performance data was successfully developed.
Expert coach feedback confirmed the understandability and usability of the visual data representations.
Benchmarks were established for assessing player performance indicators against competition levels and positions.

Conclusions:

The developed system provides essential normative data for netball, enabling effective player assessment.
Coaches can utilize these benchmarks to evaluate player performance objectively.
Performance analysts can leverage the findings to implement automated real-time reporting tools.