Evidence map›Paper›PMID 38804454›Full record

ArticleJournal of functional morphology and kinesiology2024

Tactical Situations and Playing Styles as Key Performance Indicators in Soccer.

Spyridon Plakias, Themistoklis Tsatalas, Vasileios Armatas, Dimitris Tsaopoulos, Giannis Giakas

Abstract read
In one paragraph

Article in Journal of functional morphology and kinesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Spyridon PlakiasDepartment of Physical Education and Sport Science, University of Thessaly, 42150 Trikala, Greece.ORCID 0000-0002-9511-6940
Themistoklis TsatalasDepartment of Physical Education and Sport Science, University of Thessaly, 42150 Trikala, Greece.ORCID 0000-0002-6658-5764
Vasileios ArmatasSchool of Physical Education and Sport Science, National and Kapodistrian University of Athens, 10679 Athens, Greece.ORCID 0000-0003-1689-729X
Dimitris TsaopoulosCenter for Research and Technology Hellas, 60361 Volos, Greece.ORCID 0000-0001-7355-0511
Giannis GiakasDepartment of Physical Education and Sport Science, University of Thessaly, 42150 Trikala, Greece.ORCID 0000-0001-9218-0114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The game of soccer is complex and unpredictable, demanding multifaceted strategies for success. Performance analysis has evolved, focusing on key performance indicators (KPIs) to determine the factors that most significantly influence a team's success or failure during matches. Traditional performance analysis methods have emphasized quantifiable data like physical exertion and basic play events but often neglected the subtler tactical dimensions that could significantly impact game outcomes. This study aimed to fill the gap in the current literature by creating a comprehensive framework that incorporates tactical situations as KPIs. The objective was to examine whether specific playing styles adopted by teams in various tactical situations and phases of the game could predict the outcome of matches. A dataset comprising all First Division Championship matches from 11 different European countries for the 2021-2022 season was analyzed. Variables representing tactical situations were correlated with match outcomes using a Generalized Estimating Equation framework. The model was specified with a binomial distribution and a logit link function. Statistical significance was determined using Wald χ

Indexed as

footballgame styleperformance analysistactics

Identifiers

PMID38804454
PMCPMC11130910

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.