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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
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
double moving averagedynamic analysiskurtosismathematical simulation

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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.