Evidence map›Paper›PMID 34401000›Full record

ArticleJournal of human kinetics2021

Within-Match Performance Dynamics - Momentary Strength in Handball.

Tiago G Russomanno, Hilary Lam, Melanie Knopp, Ho Huang, Timo Stadtlander, Martin Lames

Abstract read
In one paragraph

Article in Journal of human kinetics, 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. 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

6 authors.

Tiago G RussomannoLaboratory for Teaching Computer Science Applied to Physical Education and Sport, Faculty of Physical Education, University of Brasilia, Brasilia, DF, Brazil.
Hilary LamChair for Performance Analysis and Computer Science in Sports, Faculty for Health and Sport Sciences, Technical University of Munich, Munich Germany.
Melanie KnoppChair for Performance Analysis and Computer Science in Sports, Faculty for Health and Sport Sciences, Technical University of Munich, Munich Germany.
Ho HuangChair for Performance Analysis and Computer Science in Sports, Faculty for Health and Sport Sciences, Technical University of Munich, Munich Germany.
Timo StadtlanderChair for Performance Analysis and Computer Science in Sports, Faculty for Health and Sport Sciences, Technical University of Munich, Munich Germany.
Martin LamesChair for Performance Analysis and Computer Science in Sports, Faculty for Health and Sport Sciences, Technical University of Munich, Munich Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Handball is an Olympic team sport characterized by changes of ball possession, where teams either play on offense or defense. In this paper, we model momentary strength in handball as scoring probabilities based on a double moving average. In this cross-sectional observational study, the aim was to describe the dynamics of momentary strength in handball from both theoretical and practical perspectives. Momentary strength can be used to further characterize the nuances of the sport by identifying different phases in a match. The momentary strength model was applied to the 2019 International Handball Federation (IHF) Men's World Championship. Ninety-six games were analyzed. The results showed that momentary strength could be used to better understand the dynamic interaction process between two teams. The Spearman correlation between the teams' median momentary strength and their final ranks at the Championship was -0.830. Virtually each team faced phases in its matches with a momentary scoring probability lower than 0.10 and with 4 exceptions also higher than 0.90. Twelve out of the 24 teams showed phases with a momentary scoring probability of exactly 0 as well as exactly 1.

Indexed as

performance analysisteam sportsworld championship

Identifiers

PMID34401000
PMCPMC8336560

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.