m+Medelevator.RU
← Поиск публикаций
International journal of sports physiology and performance · 2025

Methodological Insights Into the Acceleration-Speed Profile: Optimizing Data Analysis for Reliable Application in Elite Female and Male Football.

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Alonso-Callejo Antonio, Manzano Jose Maria, Garcia-Unanue Jorge, Guitart Marc, Carles Berta, Gallardo Leonor, Felipe José Luis

Аннотация

PURPOSE: This study aimed to evaluate the reliability of the acceleration-speed profile in elite male and female football players across 3 competitive seasons. Specifically, we assessed how the number and type of microcycles influence the reliability of theoretical maximal acceleration (A0) and speed (S0).

METHODS: GPS-derived acceleration and speed data were collected from 181 women's and 146 men's microcycles. Acceleration-speed profiles were constructed using overlapping windows of 1 to 5 consecutive microcycles, classified as competitive, including match day (MD) or post-MD (MD + 1) or noncompetitive, not including MD or MD + 1. Linear regressions were applied to estimate A0 and S0.

RESULTS: Theoretical maximal acceleration and S0 increased with longer microcycles but plateaued beyond 5 days. Grouping by 2 microcycles showed the highest reliability for both A0 and S0 in male and female players. Competitive profiles consistently outperformed noncompetitive profiles in terms of stability and signal quality across both sexes. Male players demonstrated lower variability and higher signal-to-noise ratios than female players.

CONCLUSIONS: The most reliable acceleration-speed profiles can be obtained from 2 consecutive microcycles, each including 5 or more sessions and at least 1 MD or MD + 1. These findings support the integration of in situ sprint profiling into applied performance monitoring without the need for isolated testing.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты