Evidence map›Paper›PMID 42280799›Full record

ArticleSensors (Basel, Switzerland)2026

Can Locomotor Performance Predict the Final Result of a Football Match? A Machine Learning Approach.

Julen Castellano, Aitor Pinedo-Jauregi, Roberto Lopez Del Campo, Ricardo Resta, Jesús Cámara

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Julen CastellanoGIKAFIT Research Group, Department of Physical Education and Sport, Faculty of Education and Sport, University of the Basque Country (UPV/EHU), 01007 Vitoria-Gasteiz, Spain.ORCID 0000-0001-5167-5284
Aitor Pinedo-JauregiGIKAFIT Research Group, Department of Physical Education and Sport, Faculty of Education and Sport, University of the Basque Country (UPV/EHU), 01007 Vitoria-Gasteiz, Spain.ORCID 0000-0002-7939-297X
Roberto Lopez Del CampoDepartment of Competitions and Mediacoach, LaLiga, 28043 Madrid, Spain.ORCID 0000-0002-9286-6113
Ricardo RestaDepartment of Competitions and Mediacoach, LaLiga, 28043 Madrid, Spain.ORCID 0000-0003-4206-1824
Jesús CámaraGIKAFIT Research Group, Department of Physical Education and Sport, Faculty of Education and Sport, University of the Basque Country (UPV/EHU), 01007 Vitoria-Gasteiz, Spain.ORCID 0000-0002-9044-6430

Funding

Spanish Government Project. State Program to Promote Scientific-Technical Research and its Transfer, of the State Plan for Scientific, Technical and Innovation Research of the Ministry of Science, Innovation and Universities (MCIU). PID2023-147577NB-I00
6 · The paper itself

Abstract

The aim of this study was to predict the match outcome using locomotor-performance-related data from teams in both Spanish professional leagues. All matches from the first and second Spanish divisions (LaLiga and LaLiga2, respectively) across two consecutive seasons were used. The locomotor variables were as follows: total distance (TD) and distance covered at >21 km·h

Indexed as

Athletic PerformanceLocomotionMachine LearningPredictive Learning ModelsSoccerClassification AlgorithmsHumansLogistic Modelsmachine learningmatch performancesoccertime-motion

Identifiers

PMID42280799
PMCPMC13259254

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.