Evidence map›Paper›PMID 41189756›Full record

ArticleJournal of applied statistics2025

Spatial similarity index for scouting in football.

V Gómez-Rubio, J Lagos, F Palmí-Perales

Abstract read
In one paragraph

Article in Journal of applied statistics, 2025. 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

3 authors.

V Gómez-RubioUniversidad de Castilla-La Mancha, Albacete, Spain.ORCID https://orcid.org/0000-0002-4791-3072
J LagosScoutanalyst S.L., Madrid, Spain.
F Palmí-PeralesUniversitat de València, València, Spain.ORCID https://orcid.org/0000-0002-0751-7315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finding players with similar profiles is an important problem in sports such as football (also known as soccer in some countries). Scouting for new players requires a wealth of information about the available players so that similar profiles to that of a target player can be identified. However, information about the position of the players in the field is seldom employed. For this reason, a novel approach based on spatial data analysis is introduced to produce a spatial similarity index that can help to identify similar players. The use of this new spatial similarity index is illustrated with an example from the Spanish competition 'La Liga', season 2019-2020, in which hundreds of players are clustered according to their position in the field.

Indexed as

Clusteringscoutingsoccerspatial analysis

Identifiers

PMID41189756
PMCPMC12581730

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.