How teams play and win: Playing style profiles and performance outcomes in women's football

This study aimed to identify and classify team playing styles in women's football and to examine their relationship with performance outcomes. A dataset of 2322 team-match observations from the English Women's Super League and domestic cup matches (2017–2025 seasons) was analysed using a set of technical and tactical variables describing possession, ball progression, attacking organisation, and defensive behaviour. Principal component analysis (PCA) revealed two main underlying dimensions of playing style, a possession–progression axis and a directness–tempo axis. Based on these dimensions, cluster analysis identified three distinct playing styles: low-possession reactive, direct long-ball, and possession-based progressive. External validation analyses showed significant differences between clusters across key performance indicators, including expected goals (xG), xG difference, shots on target, shots conceded, and match outcomes. In particular, the possession-based progressive style was associated with higher xG values, a positive xG difference, greater attacking output, lower defensive exposure, and a substantially higher probability of winning compared with the other styles. These findings indicate that differences in playing styles are closely related to both the creation and prevention of goal-scoring opportunities. Overall, this study provides an integrated perspective on team performance in women's football by linking playing style classification with probabilistic performance metrics, offering practical implications for coaching, tactical analysis, and match preparation.

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Publication Details

Journal
International Journal of Sports Science & Coaching
Published
2026-10-26
DOI
https://doi.org/10.1177/17479541261496497
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
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article

How teams play and win: Playing style profiles and performance outcomes in women's football

Hadi Nobarı, Miguel‐Ángel Gómez, Carlos Lago‐Peñas, Runze Feng et al.
International Journal of Sports Science & Coaching
Sports Performance and Training
article

How teams play and win: Playing style profiles and performance outcomes in women's football

Hadi Nobarı, Miguel‐Ángel Gómez, Carlos Lago‐Peñas, Runze Feng, Xiuyuan Xiong
article en

Abstract

This study aimed to identify and classify team playing styles in women's football and to examine their relationship with performance outcomes. A dataset of 2322 team-match observations from the English Women's Super League and domestic cup matches (2017–2025 seasons) was analysed using a set of technical and tactical variables describing possession, ball progression, attacking organisation, and defensive behaviour. Principal component analysis (PCA) revealed two main underlying dimensions of playing style, a possession–progression axis and a directness–tempo axis. Based on these dimensions, cluster analysis identified three distinct playing styles: low-possession reactive, direct long-ball, and possession-based progressive. External validation analyses showed significant differences between clusters across key performance indicators, including expected goals (xG), xG difference, shots on target, shots conceded, and match outcomes. In particular, the possession-based progressive style was associated with higher xG values, a positive xG difference, greater attacking output, lower defensive exposure, and a substantially higher probability of winning compared with the other styles. These findings indicate that differences in playing styles are closely related to both the creation and prevention of goal-scoring opportunities. Overall, this study provides an integrated perspective on team performance in women's football by linking playing style classification with probabilistic performance metrics, offering practical implications for coaching, tactical analysis, and match preparation.

International Journal of Sports Science & Coaching
Sport Sciences Research Institute (IR), Universidade de Vigo (ES), Beijing Sport University (CN), Universidad Politécnica de Madrid (ES)
Openalex Percentile: Top 10%
Sports Performance and Training
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