Identifying Optimal Pitch Training Load in Elite Soccer Players.

IF 2.6 Q1 SPORT SCIENCES

Journal of Functional Morphology and Kinesiology Pub Date : 2025-06-04 DOI:10.3390/jfmk10020211

Adriano Titton, Elias de França, Luís Branquinho, Luís Fernando Leite de Barros, Pedro Campos, Felipe O Marques, Igor Phillip Dos Santos Glória, Erico Chagas Caperuto, Vinicius Barroso Hirota, José E Teixeira, Nelson Valente, Pedro Forte, Ricardo Ferraz, Ronaldo Vagner Thomatieli-Santos, Israel Teoldo

{"title":"Identifying Optimal Pitch Training Load in Elite Soccer Players.","authors":"Adriano Titton, Elias de França, Luís Branquinho, Luís Fernando Leite de Barros, Pedro Campos, Felipe O Marques, Igor Phillip Dos Santos Glória, Erico Chagas Caperuto, Vinicius Barroso Hirota, José E Teixeira, Nelson Valente, Pedro Forte, Ricardo Ferraz, Ronaldo Vagner Thomatieli-Santos, Israel Teoldo","doi":"10.3390/jfmk10020211","DOIUrl":null,"url":null,"abstract":"Background: There are no data in the literature regarding the optimal pitch training load (PTL) for elite soccer teams during congested seasons.Objectives: This study had three goals: (1) identify whether there is an adaptation in match physical performance (MPP) in response to PTL throughout a congested season in elite soccer players; (2) identify whether MPP adaptation is specific to the coach's PTL philosophy; and (3) identify the optimal PTL for MPP during a congested season.Method: Over two seasons, we collected data from 11,658 PTL sessions and 3068 MPP data from 54 elite male soccer players. The PTL sessions were clustered in weekly training blocks and paired with MPP for statistical and machine learning analysis.Results: Over the season, MPP increased in the mid-season and this trend decreased during the end-season. Also, MPP reflected the coach's PTL philosophy. Further, using a machine learning (k-means) approach, we identified three different PTLs (and classified them as low-, medium-, and high-load PTL blocks). The high-load PTL block was associated with a higher MPP, while the lower PTL was associated with a lower MPP.Conclusions: PTL is closely related to MPP, and this change also reflects the coach's PTL philosophy. Here, we report an optimal PTL that could be useful for soccer teams playing a congested season.","PeriodicalId":16052,"journal":{"name":"Journal of Functional Morphology and Kinesiology","volume":"10 2","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12194278/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Functional Morphology and Kinesiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/jfmk10020211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

Background: There are no data in the literature regarding the optimal pitch training load (PTL) for elite soccer teams during congested seasons.

Objectives: This study had three goals: (1) identify whether there is an adaptation in match physical performance (MPP) in response to PTL throughout a congested season in elite soccer players; (2) identify whether MPP adaptation is specific to the coach's PTL philosophy; and (3) identify the optimal PTL for MPP during a congested season.

Method: Over two seasons, we collected data from 11,658 PTL sessions and 3068 MPP data from 54 elite male soccer players. The PTL sessions were clustered in weekly training blocks and paired with MPP for statistical and machine learning analysis.

Results: Over the season, MPP increased in the mid-season and this trend decreased during the end-season. Also, MPP reflected the coach's PTL philosophy. Further, using a machine learning (k-means) approach, we identified three different PTLs (and classified them as low-, medium-, and high-load PTL blocks). The high-load PTL block was associated with a higher MPP, while the lower PTL was associated with a lower MPP.

Conclusions: PTL is closely related to MPP, and this change also reflects the coach's PTL philosophy. Here, we report an optimal PTL that could be useful for soccer teams playing a congested season.

查看原文本刊更多论文

确定优秀足球运动员的最佳球场训练负荷。

背景：关于精英足球队在拥挤季节的最佳球场训练负荷（PTL），文献中没有数据。目的：本研究有三个目标：(1)确定在一个拥挤的赛季中，精英足球运动员的比赛身体表现（MPP）是否有对PTL的适应；(2)确定MPP适应是否针对教练的PTL理念；(3)确定拥堵季节MPP的最佳PTL。方法：在两个赛季中，我们收集了来自54名优秀男子足球运动员的11,658次PTL和3068次MPP数据。PTL课程集中在每周的训练块中，并与MPP配对进行统计和机器学习分析。结果：在整个季节中，MPP在季中增加，在季末下降。同时，MPP也反映了教练的PTL哲学。此外，使用机器学习（k-means）方法，我们确定了三种不同的PTL（并将它们分为低、中、高负载PTL块）。高负荷PTL块与较高的MPP相关，而低负荷PTL块与较低的MPP相关。结论：PTL与MPP密切相关，这种变化也反映了教练员的PTL理念。在这里，我们报告了一个最佳的PTL，它可能对踢拥挤赛季的足球队有用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊