Abstract
Data analytics have become increasingly popular within professional sport organizations. Big data exists upon which decisions are made in relation to athlete selection and performance analysis. The data draw upon vary from big data and more idiosyncratic data that is contextually focused. We consider the importance of data technology in relation to the prediction of athlete and team performance within high-performance sport. Here we expand upon existing approaches to analytics, and why the prediction of athletes’ behaviors is often found to be ineffective. Recommendations are provided how sport psychology can offer insights for analytics departments.
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