Journal article 13 views
Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup
QIJIE SHEN,
J. Ding,
Huw Summers 
,
A. Kubayi,
B.W. Strafford,
J.A. Stone
,
A. Kubayi,
B.W. Strafford,
J.A. Stone
Football Studies, Start page: 100026
Swansea University Authors:
QIJIE SHEN, Huw Summers
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.footst.2026.100026
Abstract
Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup
| Published in: | Football Studies |
|---|---|
| ISSN: | 3051-2689 |
| Published: |
Elsevier BV
2026
|
| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71361 |
| first_indexed |
2026-02-02T11:53:53Z |
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| last_indexed |
2026-02-03T05:33:14Z |
| id |
cronfa71361 |
| recordtype |
SURis |
| fullrecord |
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| spelling |
2026-02-02T11:55:45.2287865 v2 71361 2026-02-02 Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup 832cc78717efebf39af54cdda1e15239 QIJIE SHEN QIJIE SHEN true false a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 2026-02-02 Journal Article Football Studies 0 100026 Elsevier BV 3051-2689 Football; Women; Clustering; Performance analysis; Player profile 30 1 2026 2026-01-30 10.1016/j.footst.2026.100026 COLLEGE NANME COLLEGE CODE Swansea University Not Required 2026-02-02T11:55:45.2287865 2026-02-02T11:50:26.8990116 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering QIJIE SHEN 1 J. Ding 2 Huw Summers 0000-0002-0898-5612 3 A. Kubayi 4 B.W. Strafford 5 J.A. Stone 6 |
| title |
Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup |
| spellingShingle |
Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup QIJIE SHEN Huw Summers |
| title_short |
Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup |
| title_full |
Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup |
| title_fullStr |
Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup |
| title_full_unstemmed |
Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup |
| title_sort |
Classifying Player Profiles in Elite Women’s Football: A K-Means Clustering Analysis of Physical and Technical Data from the 2023 FIFA Women’s World Cup |
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832cc78717efebf39af54cdda1e15239 a61c15e220837ebfa52648c143769427 |
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832cc78717efebf39af54cdda1e15239_***_QIJIE SHEN a61c15e220837ebfa52648c143769427_***_Huw Summers |
| author |
QIJIE SHEN Huw Summers |
| author2 |
QIJIE SHEN J. Ding Huw Summers A. Kubayi B.W. Strafford J.A. Stone |
| format |
Journal article |
| container_title |
Football Studies |
| container_volume |
0 |
| container_start_page |
100026 |
| publishDate |
2026 |
| institution |
Swansea University |
| issn |
3051-2689 |
| doi_str_mv |
10.1016/j.footst.2026.100026 |
| publisher |
Elsevier BV |
| college_str |
Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Engineering and Applied Sciences - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering |
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2026-01-30T05:35:09Z |
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11.09613 |