Evidence map›Paper›PMID 42835103›Full record

ArticleFrontiers in sports and active living2026

Multidimensional team performance indicators in men's UEFA EURO 2024: an exploratory analysis.

Swamynathan Sanjaykumar, Ponnusamy Yoga Lakshmi, Priyanka Rana, Sergio Sebastia-Amat, Zhanneta Kozina, Gowri Anil, Jun Mizushima

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Swamynathan SanjaykumarDepartment of Bachelor of Physical Education, Christ College (Autonomous), University of Calicut, Irinjalakuda, India.
Ponnusamy Yoga LakshmiDepartment of Computer Science, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, India.
Priyanka RanaDepartment of Physical Therapy and Movement Science, University of Texas at El Paso, El Paso, TX, United States.
Sergio Sebastia-AmatDepartment of General and Specific Didactics, Faculty of Education, Health, Physical Activity and Sports Technology (HEALTH-TECH), University of Alicante, Alicante, Spain.
Zhanneta KozinaDepartment of Olympic and Professional Sport, Sport Games and Tourism, H.S. Skovoroda Kharkiv National Pedagogical University, Kharkiv, Ukraine.
Gowri AnilDepartment of Computer Application, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.
Jun MizushimaDepartment of Health and Sports Sciences, Faculty of Health and Sports Sciences, Toyo University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined multidimensional team-level performance indicators from men's UEFA EURO 2024 and evaluated whether they could support exploratory classification and descriptive benchmarking. Publicly available data from all 24 participating teams were analysed using seven retained indicators representing possession, attacking output, expected performance, and progression. Relationships among indicators were examined, and a composite Team Strength Score (TSS) was calculated from normalised retained indicators after cumulative counts were expressed per 90 min. Exploratory classification accuracy ranged from 0.50 to 0.58 and did not exceed the 0.67 majority-class baseline. The strongest correlations were observed between goals and assists (r = 0.91), xG and xA (r = 0.90), progressive carries and progressive passes (r = 0.89), and possession and progressive passes (r = 0.89). These associations partly reflect intrinsic relationships among football actions and should not be interpreted as independent determinants of performance. Spain and Germany had the highest TSS values. The framework may support post-tournament benchmarking, opponent analysis, and communication between performance analysts and coaching staff, provided that possession, progression, and expected-performance indicators are interpreted alongside realised outcomes and match context.

Indexed as

football analyticsmachine learningperformance analysisteam performance indicatorsUEFA EURO

Identifiers

PMID42835103
PMCPMC13635318

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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.