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A computer-video aided time motion analysis technique for match analysis.

A Ali1, M Farrally

  • 1Department of Physical Education, University of St. Andrews, Fife, Scotland.

The Journal of Sports Medicine and Physical Fitness
|March 1, 1991
PubMed
Summary
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This study developed a new method to track player movement during matches, revealing significant differences in walking, jogging, and standing times between different player positions. This objective data enhances understanding of player performance and game dynamics.

Area of Science:

  • Sports Science
  • Biomechanics
  • Performance Analysis

Background:

  • Objective data on player movement during matches is crucial for performance analysis.
  • Existing methods may lack precision in quantifying time spent on various activities like walking, jogging, and sprinting.
  • Understanding positional differences in movement patterns can inform training and strategy.

Purpose of the Study:

  • To develop and validate a reliable method for objectively measuring time spent on different movement types (walking, jogging, cruising, sprinting, standing still) by players during match play.
  • To analyze the movement patterns of university-level players across different positions.
  • To identify significant differences in movement activity based on player position.

Main Methods:

  • Development of computer programs and filming analysis with a symbolic notation system.

Related Experiment Videos

  • Application of the devised technique to university players (aged 19-21) filmed during matches.
  • Analysis of video recordings using a microcomputer and statistical analysis (ANOVA) to compare movement times across positions.

    • Main Results:

    • Players spent 56% of match time walking, 30% jogging, 4% cruising, 3% sprinting, and 7% standing still.
    • Analysis of Variance (ANOVA) showed significant differences (P < 0.05) in time spent walking, jogging, and standing still among attackers, defenders, and midfielders.
    • The developed method provides reliable data on player movement and performance.

    Conclusions:

    • A novel and reliable method for quantifying player movement during match play has been established.
    • Significant positional differences in movement activity exist, impacting player performance.
    • Further research with larger, diverse teams is recommended to validate these preliminary findings and broaden applicability.