Profiling high performers in elite women's basketball: Functional roles and normative benchmarks from 10 seasons of Spanish First Division data.
Despite significant advances in basketball analytics, professional women's leagues remain underrepresented in performance research. Understanding normative performance benchmarks in professional women's basketball is essential for informed player development, scouting, and tactical planning; however...
| Publicado en: | Journal of Sports Sciences Vol. 43; no. 22; pp. 2764 - 2776 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188875675&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188875675 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02640414 5BV jtl: Journal of Sports Sciences issn: 02640414 maglogo: Y pubinfo: dt: Nov2025 vid: 43 iid: 22 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 188875675 188039153 188875675 188875675 10.1080/02640414.2025.2555559 188875675 ppf: 2764 ppct: 12 formats: tig: atl: Profiling high performers in elite women's basketball: Functional roles and normative benchmarks from 10 seasons of Spanish First Division data. aug: au: Courel-Ibáñez, Javier Piñar López, Maria Isabel Contreras-García, José Miguel J. Ibáñez, Sergio affil: Department of Physical Education and Sports, University of Granada, Faculty of Education and Sport Sciences, Melilla, Spain sug: subj: Athletes, Elite Spain Basketball Spain Athletes, Female Spain Athletic Performance Evaluation Talent Identification, Sports Human Spain Sporting Events Factor Analysis Cluster Sample Criterion-Related Validity Benchmarking Athletes, Professional Team Sports Reference Values Nonexperimental Studies Data Analysis Software Inferential Statistics Female Funding Source Chi Square Test Descriptive Statistics Female ab: Despite significant advances in basketball analytics, professional women's leagues remain underrepresented in performance research. Understanding normative performance benchmarks in professional women's basketball is essential for informed player development, scouting, and tactical planning; however, this area remains underexplored. This study analysed ten seasons (2012–2022) of performance data from 609 players, Spain's top-tier women's league (LF Endesa). Principal Component Analysis (PCA) confirmed the adequacy of 15 key indicators normalized per minute. A two-step clustering approach identified six functional player profiles (Primary Post, Secondary Post, Playmaker, 3&D Specialist, Role Player and Versatile). Players were further stratified into high, mid, and low performers within each role using z-score tertiles. Linear mixed models revealed that High performers consistently outscored Low performers in key metrics such as 2-point and 3-point field goals made, assists, and defensive rebounds (p < 0.01). Convergent validity was supported by the overrepresentation of High performers among First Team selections and players from top-ranked teams. Normative values for each role and performance tier are presented, providing a valuable reference for talent identification and role-based benchmarking in professional women's basketball. Future research should integrate contextual variables and advanced tracking data to refine these classifications across broader competitive settings. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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