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Updated: Jan 11, 2026

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Methodological Insights Into the Acceleration-Speed Profile: Optimizing Data Analysis for Reliable Application in

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Summary

The most reliable acceleration-speed profiles for elite football players are achieved using two consecutive microcycles, each with at least five sessions and a match day. This method enhances in situ sprint profiling for performance monitoring.

Keywords:
elite soccersprinttestingvalidity

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Area of Science:

  • Sports Science
  • Biomechanics
  • Performance Analysis

Background:

  • The acceleration-speed profile is crucial for understanding sprint performance in elite athletes.
  • Assessing the reliability of this profile across competitive seasons is vital for effective training.
  • Microcycle structure and content can influence the stability of performance metrics.

Purpose of the Study:

  • To evaluate the reliability of the acceleration-speed profile in elite male and female football players.
  • To determine how microcycle characteristics (number and type) affect the reliability of theoretical maximal acceleration (A0) and speed (S0).

Main Methods:

  • GPS-derived acceleration and speed data were analyzed from 181 women's and 146 men's microcycles.
  • Acceleration-speed profiles were constructed using overlapping windows of 1–5 microcycles, categorized as competitive (including match day) or noncompetitive.
  • Linear regressions were used to estimate A0 and S0.

Main Results:

  • Theoretical maximal acceleration (A0) and speed (S0) increased with microcycle length, plateauing beyond five days.
  • The highest reliability for both A0 and S0 was observed when grouping two consecutive microcycles.
  • Competitive profiles demonstrated superior stability and signal quality compared to noncompetitive profiles, with male players showing lower variability than female players.

Conclusions:

  • Optimal reliability for acceleration-speed profiles is achieved with two consecutive microcycles, each containing five or more sessions and at least one match day.
  • These findings enable the integration of in situ sprint profiling into performance monitoring, reducing the need for isolated testing.
  • The study provides practical insights for coaches and sports scientists to optimize performance assessment in football.