Evidence map›Paper›PMID 41245980›Full record

ArticleJournal of human kinetics2025

Evaluation of Differentiating Attacking and Defensive Performance for Various Playing Positions during the Tokyo Olympics Men's Basketball Competition.

Wenping Sun, LianYee Kok, ChenSoon Chee

Abstract read
In one paragraph

Article in Journal of human kinetics, 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.

Wenping SunDepartment of Sports, Nanyang Institute of Technology, Nanyang, China.
LianYee KokDepartment of Sport Science, Faculty of Applied Sciences, Tunku Abdul Rahman University of Management and Technology, Kuala Lumpur, Malaysia.
ChenSoon CheeDepartment of Sport Studies, Faculty of Educational Studies, Universiti Putra Malaysia, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to differentiate the attack-defense performance at various playing positions between the top and bottom teams during the Tokyo Olympics men's basketball competition, and to determine the relationship between the attack-defense performance of various positions and the final competition rankings. The rank-sum ratio (RSR) was employed to describe the attack-defense abilities of a total of 144 male players from 12 participating teams, which were divided into three groups according to their playing positions, namely centers (n = 27), forwards (n = 58), and guards (n = 59). Additionally, the independent sample t-test and Spearman Rho Correlation analyses were conducted to evaluate the differences and relationships among the various variables, respectively, at a 0.05 level of significance. The results showed that there were significant differences in points (p = 0.003), the 2-point field goal made percentage (p = 0.035), and defensive rebounds (p = 0.004) at the guard position, and assists (p = 0.047) at the forward position between the top four and the bottom four teams. The attack-defense ranks of the guard position presented high positive correlations (p = 0.000, r = 0.876) with the final competition rankings, while the center (p = 0.017, r = 0.669) and forward positions (p = 0.036, r = 0.608) showed moderate positive correlations. These results may be considered by coaches and players to include targeted training to improve the overall strength of the team.

Indexed as

centerfinal rankingsforwardguardteam sports

Identifiers

PMID41245980
PMCPMC12612814

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.