Biology of Sport
eISSN: 2083-1862
ISSN: 0860-021X
Biology of Sport
Current Issue Manuscripts accepted About the journal Editorial board Abstracting and indexing Archive Ethical standards and procedures Contact Instructions for authors Journal's Reviewers Special Information
Editorial System
Submit your Manuscript
SCImago Journal & Country Rank
Share:
Share:
abstract:
Original paper

Technical-tactical performance of Spanish female basketball players in first division (2013–2022): effects of match outcome, location, and playing position

Carlos D. Gómez-Carmona
1, 2, 3
,
Elena Gómez-Ramos
2
,
María I. Piñar
4
,
José M. Contreras
5
,
Sergio J. Ibáñez
2

  1. Research Group in Training, Physical Activity and Sports Performance (ENFYRED), Faculty of Human and Social Sciences, University of Zaragoza, 44003 Teruel, Spain
  2. Research Group in Optimization of Training and Sports Performance (GOERD), Department of Didactics of Music, Plastic and Body Expression, Faculty of Sport Science, University of Extremadura, 10003 Caceres, Spain
  3. BioVetMed & SportSci Research Group. University of Murcia, 30100, Murcia, Spain
  4. Faculty of Sport Science, University of Granada, 18011 Granada, Spain
  5. Faculty of Education Sciences, University of Granada, 18071 Granada, Spain
Biol Sport. 2026;43:243–256
Online publish date: 2025/08/29
View full text Get citation
 
PlumX metrics:
Basketball performance is influenced by technical-tactical factors, but their effects across different contexts are not well understood in women’s basketball. This study analyzed the influence of match outcome (win, lose), match location (home, away), and playing positions (guard, G; point-guard, PG; small-forward, SF; powerforward, PF; center, C) on Key Performance Indicators (KPIs) in Spanish female basketball players. Data from 1786 games involving 897 players (33243 cases) across 10 consecutive seasons were analyzed (2013 2022). Sixteen normalized KPIs (standardized by minutes played) were evaluated using linear mixed modeling with individual player ID as a random factor, controlling for nested data structure (ICC > 0.10, p < 0.001). Fixed effects included playing position, match outcome, match location, and their interactions. Results revealed position-specific patterns: centers and power-forwards achieved significantly higher values in 2-point shots, offensive rebounds (C > PF > SF > PG=G), and blocks (C > PF > SF=PG=G), while guards obtained higher 3-point shooting (G=PG > SF=PF=C), assists (G > PG > SF=PF=C), and steals (G=PG > SF=PF=C) with large effect sizes. Winning teams significantly outperformed losing teams, with the largest differences in points, assists, and reduced turnovers. Home teams demonstrated significant advantages in assists, blocks, and reduced turnovers. Interaction effects revealed that guards benefited most from playing at home in assists, while centers showed the greatest home court advantage in blocks. Position-outcome interactions showed centers contributed most to winning through 2-point shooting and rebounding, while guards impacted success through playmaking and reduced turnovers. Technical-tactical performance varies substantially by position, match outcome, and location. Coaches should tailor training to leverage positionspecific strengths while developing strategies to overcome positional weaknesses, especially for away games.
keywords:

Contextual factors, Performance analysis, Game-related statistics, Elite level, Decision-making

 
Quick links
© 2025 Termedia Sp. z o.o.
Developed by Bentus.