Evidence map›Paper›PMID 33963254›Full record

ArticleScientific reports2021

Illustrating changes in landscapes of passing opportunities along a set of competitive football matches.

Luis Ignacio Gómez-Jordana, Rodrigo Amaro E Silva, João Milho, Angel Ric, Pedro Passos

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Highlighting Shooting Opportunities in Football.Sensors (Basel, Switzerland) · 2023
    Article
  3. Article
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.

Luis Ignacio Gómez-JordanaCIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Estrada da Costa, 1495-751, Cruz Quebrada, Portugal. luis.jordana.martin@gmail.com.
Rodrigo Amaro E SilvaInstituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Campo grande 16, 1749-016, Lisbon, Portugal.
João MilhoCIMOSM, ISEL, Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, 1959-007, Lisbon, Portugal.
Angel RicComplex Systema in Sport Research Group, Institut Nacional D'Educacio Fisica de Catalunya (INEFC), University of Lleida (UdL), Lleida, Spain.
Pedro PassosCIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Estrada da Costa, 1495-751, Cruz Quebrada, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to illustrate the landscape of passing opportunities of a football team across a set of competitive matches. To do so positional data of 5 competitive matches was used to create polygons of pass availability. Passes were divided into three types depending on the hypothetical threat they may pose to the opposing defense (penetrative, support, and backwards passes). These categories were used to create three heatmaps per match. Moreover, the mean time of passing opportunities was calculated and compared across matches and for the three categories of passes. Due to the specificity of player's interactive behavior, results showed heatmaps with a variety of patterns. Specifically the fifth match was very dissimilar to the other four. However, characterizing a football match in terms of passing opportunities with a single heatmap dismisses the variety of dynamics that occur throughout a match. Therefore, three temporal heatmaps over windows of 10 min were presented highlighting on-going dynamical changes in pass availability. Results also display that penetrative passes were available over shorter periods of time than backward passes that were available shorter than support passes. The results highlight the sensibility of the model to different task constrains that emerge within football matches.

Identifiers

PMID33963254
PMCPMC8105376

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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.