Development and Application of Statistical Frameworks in Sports Analytics

Last updated on Oct 8, 2023
Thiago de Paula Oliveira

Utilizing statistical frameworks in sports analytics enables more precise evaluations of athlete performance and team dynamics. This advancement provides coaches and stakeholders with deeper insights, fostering informed decisions that can significantly elevate a team's competitive edge.

Statistics Statistical Modelling Sports
Thiago de Paula Oliveira
Thiago de Paula Oliveira
Consultant Statistician

My research interests include statistical modelling, agriculture, genetics, and sports.

Related

Publications

A Hierarchical Approach for Evaluating Athlete Performance with an Application in Elite Basketball
ON score is a comprehensive athlete rating using mixed-regression and PCA on 4-season NBA data.
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A Hierarchical Approach for Evaluating Athlete Performance with an Application in Elite Basketball
Comparison of Markerless and Marker-based Motion Capture Systems using 95% Functional Limits of Agreement in a Linear Mixed-Effects Modelling Framework
Markerless motion capture challenges traditional systems. A mixed-effects model assesses their agreement for reliable human movement analysis.
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Comparison of Markerless and Marker-based Motion Capture Systems using 95% Functional Limits of Agreement in a Linear Mixed-Effects Modelling Framework