Locomotor performance parameters as predictors of high-performing male soccer teams. A multiple-season study on professional soccer

Abstract This study aims to explore the interplay between locomotor demands and goal differentials to better understand their combined influence on overall success. Spanning three competitive seasons within the male Turkish Super League, this study analyzed all participating teams across 124 matches...

Full description

Saved in:
Bibliographic Details
Main Authors: Piotr Makar, Rabiu Muazu Musa, Rui Miguel Silva, Jarosław Muracki, Robert Trybulski, Emre Altundağ, Murat Altaca, Wacław Kuczmik, Rafał Studnicki, Zeki Akyildiz
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-80181-z
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832571664957702144
author Piotr Makar
Rabiu Muazu Musa
Rui Miguel Silva
Jarosław Muracki
Robert Trybulski
Emre Altundağ
Murat Altaca
Wacław Kuczmik
Rafał Studnicki
Zeki Akyildiz
author_facet Piotr Makar
Rabiu Muazu Musa
Rui Miguel Silva
Jarosław Muracki
Robert Trybulski
Emre Altundağ
Murat Altaca
Wacław Kuczmik
Rafał Studnicki
Zeki Akyildiz
author_sort Piotr Makar
collection DOAJ
description Abstract This study aims to explore the interplay between locomotor demands and goal differentials to better understand their combined influence on overall success. Spanning three competitive seasons within the male Turkish Super League, this study analyzed all participating teams across 124 matches. Locomotor demands, including total distance (m) covered (TD), distances covered (m) at different speed thresholds (0.21–2.0 m/s; 2.01–4.0 m/s; 4.01–5.5 m/s; and 5.5–7.7 m/s), and the number of accelerations in range of 5.5–7.0 m/s (n), were quantified using an optical tracking system. Subsequently, regression models were employed to predict the total points earned by all teams over the three seasons. The logistic regression model, tailored to predict team categorization as high-points earners (HPE) or low-points earners (LPE) based on locomotor variables, exhibited a mean accuracy of 74%. Notably, total distance covered, running speed intervals between 4.4 and 5.5 m/s, and the number of accelerations in range of 5.5–7.0 m/s emerged as significant predictors of team success. Our findings highlight the pivotal role of running speed (4.01–5.5 m/s), number of accelerations, and total distance in predicting success for high-performing teams. Coaches can leverage these insights to refine training programs, thereby optimizing team performance, and fostering success in competitive environments.
format Article
id doaj-art-7e2d3caa6ee443d18bf5b4ceeca4a9a4
institution Kabale University
issn 2045-2322
language English
publishDate 2024-11-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj-art-7e2d3caa6ee443d18bf5b4ceeca4a9a42025-02-02T12:25:17ZengNature PortfolioScientific Reports2045-23222024-11-0114111010.1038/s41598-024-80181-zLocomotor performance parameters as predictors of high-performing male soccer teams. A multiple-season study on professional soccerPiotr Makar0Rabiu Muazu Musa1Rui Miguel Silva2Jarosław Muracki3Robert Trybulski4Emre Altundağ5Murat Altaca6Wacław Kuczmik7Rafał Studnicki8Zeki Akyildiz9Faculty of Physical Education, Gdańsk University of Physical Education and SportCentre for Fundamental and Continuing Education, Universiti Malaysia TerengganuEscola Superior de Desporto e Lazer, Instituto Politécnico de Viana do CasteloInstitute of Physical Culture Sciences, Department of Physical Culture and Health, University of SzczecinProvita Żory Medical CenterSport Science Faculty, Kütahya Dumlupınar UniversityFootball Industries MBA, University of LiverpoolDepartment and Clinic of General Surgery, Vascular Surgery, Angiology and Phlebology, Faculty of Medical Sciences in Katowice, Medical University of Silesia in KatowiceDepartment of Physiotherapy, Medical University of GdańskDepartment of Coaching Education, Sports Sciences Faculty, Afyon Kocatepe UniversityAbstract This study aims to explore the interplay between locomotor demands and goal differentials to better understand their combined influence on overall success. Spanning three competitive seasons within the male Turkish Super League, this study analyzed all participating teams across 124 matches. Locomotor demands, including total distance (m) covered (TD), distances covered (m) at different speed thresholds (0.21–2.0 m/s; 2.01–4.0 m/s; 4.01–5.5 m/s; and 5.5–7.7 m/s), and the number of accelerations in range of 5.5–7.0 m/s (n), were quantified using an optical tracking system. Subsequently, regression models were employed to predict the total points earned by all teams over the three seasons. The logistic regression model, tailored to predict team categorization as high-points earners (HPE) or low-points earners (LPE) based on locomotor variables, exhibited a mean accuracy of 74%. Notably, total distance covered, running speed intervals between 4.4 and 5.5 m/s, and the number of accelerations in range of 5.5–7.0 m/s emerged as significant predictors of team success. Our findings highlight the pivotal role of running speed (4.01–5.5 m/s), number of accelerations, and total distance in predicting success for high-performing teams. Coaches can leverage these insights to refine training programs, thereby optimizing team performance, and fostering success in competitive environments.https://doi.org/10.1038/s41598-024-80181-zFootballMatch analysisSports performancePhysical demands
spellingShingle Piotr Makar
Rabiu Muazu Musa
Rui Miguel Silva
Jarosław Muracki
Robert Trybulski
Emre Altundağ
Murat Altaca
Wacław Kuczmik
Rafał Studnicki
Zeki Akyildiz
Locomotor performance parameters as predictors of high-performing male soccer teams. A multiple-season study on professional soccer
Scientific Reports
Football
Match analysis
Sports performance
Physical demands
title Locomotor performance parameters as predictors of high-performing male soccer teams. A multiple-season study on professional soccer
title_full Locomotor performance parameters as predictors of high-performing male soccer teams. A multiple-season study on professional soccer
title_fullStr Locomotor performance parameters as predictors of high-performing male soccer teams. A multiple-season study on professional soccer
title_full_unstemmed Locomotor performance parameters as predictors of high-performing male soccer teams. A multiple-season study on professional soccer
title_short Locomotor performance parameters as predictors of high-performing male soccer teams. A multiple-season study on professional soccer
title_sort locomotor performance parameters as predictors of high performing male soccer teams a multiple season study on professional soccer
topic Football
Match analysis
Sports performance
Physical demands
url https://doi.org/10.1038/s41598-024-80181-z
work_keys_str_mv AT piotrmakar locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer
AT rabiumuazumusa locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer
AT ruimiguelsilva locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer
AT jarosławmuracki locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer
AT roberttrybulski locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer
AT emrealtundag locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer
AT murataltaca locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer
AT wacławkuczmik locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer
AT rafałstudnicki locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer
AT zekiakyildiz locomotorperformanceparametersaspredictorsofhighperformingmalesoccerteamsamultipleseasonstudyonprofessionalsoccer