Evidence map›Paper›PMID 42050579›Full record

ArticleBMC sports science, medicine & rehabilitation2026

Key indicator for winning soccer matches: net efficiency.

Yue Zeng, Xiao Xie, Hui Zhang

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yue ZengDepartment of Sports Science, College of Education, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, 310058, China.
Xiao XieDepartment of Sports Science, College of Education, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, 310058, China.
Hui ZhangDepartment of Sports Science, College of Education, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, 310058, China. zhang_hui@zju.edu.cn.

Funding

The Fundamental Research Funds for the Central Universities S20230138
6 · The paper itself

Abstract

backgroundCurrent soccer match analysis focuses predominantly on team tactics and technical aspects, such as offensive and defensive strategies and their transitions. However, match efficiency has received limited attention, making it difficult to explain scenarios where a team dominates possession but fails to secure victory.

methodsThis study introduced the concept of soccer match efficiency and proposed computational formulas for offensive efficiency (OE), defensive efficiency (DE), and net efficiency (NE). Using data from the Chinese Super League (CSL) between 2014 and 2019, we analyzed NE as a metric for evaluating the balance between a team’s offensive and defensive performance.

resultsNet efficiency effectively reflected the balance between offensive and defensive performance and elucidated the phenomenon of “dominating possession but failing to score.” In the CSL: (1) an NE ≥ 0.2 corresponded to an 80.62% win probability; (2) an NE between 0.1 and < 0.2, 64.38%; (3) an NE between 0 and 0.1, 46.07%; (4) an NE of 0, 0%; (5) an NE between − 0.1 and 0, 24.69%; (6) an NE between − 0.2 and − 0.1, 11.25%; and (7) an NE ≤ -0.2, 5.38%.

conclusion(1) Net efficiency showed a clear positive association with match outcomes, with higher NE values corresponding to higher winning rates. (2) Net efficiency provided a quantitative measure of offensive-defensive balance and offered a clearer explanation for why teams may dominate possession yet lose.

Indexed as

Chinese Super LeagueDefensive efficiencyMatch efficiencyNet efficiencyOffensive efficiency

Identifiers

PMID42050579
PMCPMC13267404

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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.