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Within-Match Performance Fluctuations: Assessment and Observed vs. Expected Extent in Table Tennis
Ruizhi Liu1,2, Martin Lames2
1China Table Tennis College, Shanghai University of Sport, Shanghai, China.
Journal of Human Kinetics
|August 12, 2024
Summary
Table tennis players show significant performance fluctuations during matches, measured by a dynamic indicator. Most matches align with expected statistical patterns, highlighting the need for dynamic analysis in sports performance.
Area of Science:
- Sports Science
- Performance Analysis
- Quantitative Analysis
Background:
- Assessing in-game performance dynamics is crucial for understanding athlete capabilities.
- Traditional performance metrics often overlook real-time fluctuations within a match.
- Table tennis offers a dynamic environment to study player performance variability.
Purpose of the Study:
- To quantify within-match performance fluctuations in table tennis using a novel dynamic indicator.
- To compare empirical performance fluctuations against theoretically expected distributions.
- To investigate deviations from expected performance patterns in elite table tennis players.
Main Methods:
- Utilized a dynamic performance indicator (double moving average) on rally win/loss sequences.
- Employed binomial distribution and Monte Carlo simulations to model expected indicator distributions.
- Analyzed 211 single matches from the 2020 Tokyo Olympic Games.
Main Results:
- Observed substantial within-match performance fluctuations (average IQR = 0.27).
- Most matches (210/211) did not significantly deviate from expected double moving average distributions.
- Significant deviations in kurtosis were found in 7.6% of matches (16/211).
Conclusions:
- Within-match performance dynamics in table tennis are significant and should be considered in analysis.
- Player performance largely adheres to expected statistical fluctuations during matches.
- The study suggests dynamic performance analysis is vital across various sports and indicators.
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