Evidence map›Paper›PMID 42259880›Full record

ArticleScientific reports2026

A data-driven performance index for center forwards in the English Premier League.

Pablo Prieto-González, Fatma Hilal Yagin, Víctor Martín, Rui Marcelino, Abdullah F Alghannam, Burak Yagin, Alejandro Sal-de-Rellán

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Article in Scientific reports, 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

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pablo Prieto-GonzálezSport Sciences and Diagnostics Research Group, College of Humanities and Sciences, Prince Sultan University, Riyadh, Saudi Arabia. pprieto@psu.edu.sa.
Fatma Hilal YaginDepartment of Biostatistics, Faculty of Medicine, Malatya Turgut Ozal University, Malatya, 44280, Turkey.
Víctor MartínFaculty of Health Sciences, Universidad Isabel I de Castilla, Burgos, Spain.
Rui MarcelinoResearch Center in Sports Sciences, Health Sciences and Human Development, CIDESD, Elite Research Community, Maia, Portugal.
Abdullah F AlghannamLifestyle & Health Research Center, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Burak YaginDepartment of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, 44210, Turkey.
Alejandro Sal-de-RellánDepartment of Education and Educational Innovation, Faculty of Law, Education and Humanities, Universidad Europea de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the growing availability of performance data in professional soccer, existing player rating systems lack positional specificity and fail to capture the multidimensional demands of center forwards. Building on composite index and regularized regression approaches in sports analytics, this study develops a Soccer Performance Index (SPI) tailored to center forwards in the English Premier League (EPL) across the 2021-2024 seasons. Data from 194 player-season observations were analysed using 109 Wyscout performance metrics as predictors. Three SPI versions were constructed using Lasso and Ridge regression: one based on market value, one on the InStat Index, and a hybrid combining both. The hybrid model, weighting market value at 70% and the InStat Index at 30%, achieved the strongest explanatory fit (R

Indexed as

Center forwardsMarket valuePerformance analysisRegression analysisSoccer performance indexTalent identification

Identifiers

PMID42259880
PMCPMC13487182

What OpenQuestion holds

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LicenceCC BY
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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.