Evidence map›Paper›PMID 32784740›Full record

ArticleInternational journal of environmental research and public health2020

Modelling the Relationship between Match Outcome and Match Performances during the 2019 FIBA Basketball World Cup: A Quantile Regression Analysis.

Shaoliang Zhang, Miguel Ángel Gomez, Qing Yi, Rui Dong, Anthony Leicht, Alberto Lorenzo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  10. Ball Screens in the Men's 2019 Basketball World Cup.International journal of environmental research and public health · 2022
    Article
  11. Bounded Rationality and Heuristics: Do We Only Need to Score in Order to Win Individual Awards in Basketball?International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Prediction of Offensive Possession Ends in Elite Basketball Teams.International journal of environmental research and public health · 2021
    Article
  14. Article
  15. Article
  16. 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

6 authors.

Shaoliang ZhangDivision of Sport Science & Physical Education, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-0543-7135
Miguel Ángel GomezFacultad de Ciencias de la Actividad Física y del Deporte (INEF), Universidad Politécnica de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-9585-3158
Qing YiSchool of Physical Education and Sport Training, Shanghai University of Sport, Shanghai 200438, China.
Rui DongChina Basketball College, Beijing Sport University, Beijing 100084, China.
Anthony LeichtSport and Exercise Science, James Cook University, Townsville, QLD 4810, Australia.ORCID 0000-0002-0537-5392
Alberto LorenzoFacultad de Ciencias de la Actividad Física y del Deporte (INEF), Universidad Politécnica de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-4633-6701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The FIBA Basketball World Cup is one of the most prominent sporting competitions for men's basketball, with coaches interested in key performance indicators (KPIs) that give a better understanding of basketball competitions. The aims of the study were to (1) examine the relationship between match KPIs and outcome in elite men's basketball; and (2) identify the most suitable analysis (multiple linear regression (MLR) vs. quantile regression (QR)) to model this relationship during the men's basketball tournament. A total of 184 performance records from 92 games were selected and analyzed via MLR and QR, using 10th, 25th, 50th, 75th and 90th quantiles. Several offensive (Paint Score, Mid-Range Score, Three-Point Score, Offensive Rebounds and Turnovers) and defensive (Defensive Rebounds, Steals and Personal Fouls) KPIs were associated with match outcome. The QR model identified additional KPIs that influenced match outcome than the MLR model, with these being Mid-Range Score at the 10th quantile and Offensive Rebounds at the 90th quantile. In terms of contextual variables, the quality of opponent had no impact on match outcome across the entire range of quantiles. Our results highlight QR modelling as a potentially superior tool for performance analysts and coaches to design and monitor technical-tactical plans during match-play. Our study has identified the KPIs contributing to match success at the 2019 FIBA Basketball World Cup with QR modelling assisting with a more detailed performance analysis, to support coaches with the optimization of training and match-play styles.

Indexed as

Athletic PerformanceBasketballSoccerAchievementAdultHumansMaleMultivariate Analysisbasketball performance analysiselite athletesquantile regressionteam sport

Identifiers

PMID32784740
PMCPMC7460061

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.