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Temporal pattern analysis and its applicability in sport: an explanation and exemplar data
Andrew Borrie1, Gudberg K Jonsson, Magnus S Magnusson
1a.g.borrie@livjm.ac.uk
Journal of Sports Sciences
|October 5, 2002
Summary
This study introduces T-pattern detection, a new method for analyzing sports performance data over time. This approach helps coaches identify temporal behavioral patterns to create new individual and team performance profiles.
Area of Science:
- Sports Science
- Performance Analysis
- Data Science
Background:
- Traditional quantitative analysis of sports performance has limitations in capturing complex, time-based interactions.
- Coaches require advanced methods to enhance athletic performance through detailed performance insights.
Purpose of the Study:
- To introduce and explain T-pattern detection as a novel approach for analyzing time-based sports performance data.
- To demonstrate the utility of T-pattern detection using exemplar data from soccer matches.
Main Methods:
- The paper details the T-pattern detection process for analyzing time-based event and real-time behavior records.
- Exemplar data from 13 soccer matches were analyzed to illustrate the method's application.
Main Results:
- Analysis of soccer matches using T-pattern detection revealed the potential for identifying unique performance patterns.
- The method allows for the creation of new profiles for individual athletes and teams based on temporal behaviors.
Conclusions:
- T-pattern detection offers a powerful new tool for the quantitative analysis of sports performance.
- This method can uncover novel insights into individual and team dynamics, aiding coaching strategies and performance enhancement.