Abstract
A previous research has identified large data and information sources which exist about netball performance and align with the discussion of coaches during the games. Normative data provides context to measures across many disciplines, such as fitness testing, physical conditioning, and body composition. These data are normally presented in the tables as representations of the population categorized for benchmarking. Normative data does not exist for benchmarking or contextualization in netball, yet the coaches and players use performance statistics. A systems design methodology was adopted for this study where a process for automating the organization, normalization, and contextualization of netball performance data was developed. To maintain good ecological validity, a case study utilized expert coach feedback on the understandability and usability of the visual representations of netball performance population data. This paper provides coaches with benchmarks for assessing the performances of players, across competition levels against the player positions for performance indicators. It also provides insights to a performance analyst around how to present these benchmarks in an automated “real-time” reporting tool.
Highlights
A previous research (Croft et al, 2020) has identified tactical themes that netball coaches discuss during the matches and subsequently data from sports performance analysis tools that align with these themes have been evaluated
The purpose of this study is to design a platform for capturing, processing, and organizing data so it can be presented as a normative data table
The positions that are similar in their roles, i.e., Goal Shot and Goal Attack, are ordered across the columns for ease when compared
Summary
A previous research (Croft et al, 2020) has identified tactical themes that netball coaches discuss during the matches and subsequently data from sports performance analysis tools that align with these themes have been evaluated. Public domain data providers, such as Champion DataTM (Victoria, Australia) or notational analysis software, such as Hudl-Sportscode (Lincoln, USA), allow access to this data via either application programming interfaces (APIs), (in full) or live coding of events, respectively. It is essential that the data are presented in a way that is understandable and have strong face validity to assist coach decisionmaking during a match. The historical data and information may provide context to this live data, by indicating whether the current-performance is above or below the relative past-performance, i.e., in comparison with the normative data.
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