Evidence map›Paper›PMID 40666312›Full record

ArticleFrontiers in sports and active living2025

External training load and rating of perceived exertion comparison between different playing styles and winning vs. losing matches in elite tennis.

Péter János Tóth, István Csáki, János Négyesi, Károly Dobos, Krisztián Havanecz, Sándor Sáfár, Csaba Ökrös

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Péter János TóthDepartment of Sport Games, Hungarian University of Sports Science, Budapest, Hungary.
István CsákiDepartment of Sport Games, Hungarian University of Sports Science, Budapest, Hungary.
János NégyesiDepartment of Kinesiology, Hungarian University of Sports Science, Budapest, Hungary.
Károly DobosInstitute of Health Development and Sport Sciences, Eötvös Loránd University Faculty of Education and Psychology, Budapest, Hungary.
Krisztián HavaneczSchool of Doctoral Studies, Hungarian University of Sports Science, Budapest, Hungary.
Sándor SáfárTraining Theory and Methodology Research Center, Hungarian University of Sports Science, Budapest, Hungary.
Csaba ÖkrösDepartment of Sport Games, Hungarian University of Sports Science, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aims to compare different playing styles on external training load and rating of perceived exertion (RPE) in elite Hungarian junior tennis players during the off-season in winning vs. losing matches. Methods: Sixteen elite male junior tennis players from the same club participated in this study (aggressive baseliner: Results: For the different playing styles, we found that aggressive baseliner players produce more high-intensity (≤-2 m/s Discussion: In conclusion, aggressive baseliner players must develop more movements toward the net and the necessary adjustment steps for volleys. Furthermore, running activities do not necessarily influence match outcomes, therefore, it is important to place more emphasis on the development and monitoring of technical and tactical situations. Based on these points, we recommend that coaches integrate the development of specific footwork and dominant technical-tactical actions simultaneously on the court, so that players can better incorporate these elements into their game.

Indexed as

accelerometrymonitoringperformanceracquet sportswearable technology

Identifiers

PMID40666312
PMCPMC12259623

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.