SynthesisInternational journal of environmental research and public health2021
Training Design, Performance Analysis, and Talent Identification-A Systematic Review about the Most Relevant Variables through the Principal Component Analysis in Soccer, Basketball, and Rugby.
Synthesis in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Principal Component Analysis Applied to In-School Inertial Measurement Unit-Derived Data During Physical Activity: A Systematic Review Highlighting Children's Behavioral Patterns.Sensors (Basel, Switzerland) · 2026Pooled it
- Mental Fatigue and Basketball Performance: A Systematic Review.Frontiers in psychology · 2021Pooled it
- Anthropometric and motor-fitness signatures of defensive efficiency in professional football defenders: a principal component and cluster analysis.BMC sports science, medicine & rehabilitation · 2026Article
- Syncretic Grad-CAM Integrated ViT-CNN Hybrids with Inherent Explainability for Early Thyroid Cancer Diagnosis from Ultrasound.Diagnostics (Basel, Switzerland) · 2026Article
- Effects of Repeated Forward Versus Repeated Backward Sprint Training on Physical Fitness Measures in Youth Male Basketball Players.Sports (Basel, Switzerland) · 2026Article
- Physical Workload Patterns in U-18 Basketball Using LPS and MEMS Data: A Principal Component Analysis by Quarter and Playing Position.Sensors (Basel, Switzerland) · 2025Article
- Sports Performance and Injury Epidemiology in Portuguese XV Rugby Union's 2023 World Cup Preparation in a High-Altitude Center: A Cross-Sectional Study.Journal of functional morphology and kinesiology · 2025Article
- Road to Paris-2024: The Path of Brazilian Volleyball Athletes Goes Through the Youth National Teams.Journal of human kinetics · 2025Article
- Optimising Sprint Performance in Rugby: Insights from a Systematic Review of Training Methods.Journal of functional morphology and kinesiology · 2025Review
- Characterization of Fitness Profiles in Youth Soccer Players in Response to Playing Roles Through Principal Component Analysis.Journal of functional morphology and kinesiology · 2025Article
- Article
- Exploring body composition and physical condition profiles in relation to playing time in professional soccer: a principal components analysis and Gradient Boosting approach.Frontiers in physiology · 2025Article
- Nonlinear age effects on basketball player performance: insights from Kolmogorov-Arnold Networks in NBA data.Frontiers in sports and active living · 2025Article
- Analyzing Key Factors on Training Days within a Standard Microcycle for Young Sub-Elite Football Players: A Principal Component Approach.Sports (Basel, Switzerland) · 2024Article
- Impact of Preharvest Ethephon Foliar Spray on the Postharvest Fatty Acid Profile and Dietary Indicators of Macadamia Nuts.Agriculture (Basel, Switzerland) · 2023Article
- The Impact of Peripheral Vision on Manual Reaction Time Using Fitlight Technology for Handball, Basketball and Volleyball Players.Bioengineering (Basel, Switzerland) · 2023Article
- Crucial workload variables in female-male elite Brazilian Beach Handball: An exploratory factor analysis.Biology of sport · 2023Article
- Exploring the Effects of Tasks with Different Decision-Making Levels on Ball Control, Passing Performance, and External Load in Youth Football.Children (Basel, Switzerland) · 2023Article
- Basketball talent identification: a systematic review and meta-analysis of the anthropometric, physiological and physical performance factors.Frontiers in sports and active living · 2023Review
- Machine learning application in soccer: a systematic review.Biology of sport · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the accelerating development of technology applied to team sports and its subsequent high amount of information available, the need for data mining leads to the use of data reduction techniques such as Principal Component Analysis (PCA). This systematic review aims to identify determinant variables in soccer, basketball and rugby using exploratory factor analysis for, training design, performance analysis and talent identification. Three electronic databases (PubMed, Web of Science, SPORTDiscus) were systematically searched and 34 studies were finally included in the qualitative synthesis. Through PCA, data sets were reduced by 75.07%, and 3.9 ± 2.53 factors were retained that explained 80 ± 0.14% of the total variance. All team sports should be analyzed or trained based on the high level of aerobic capacity combined with adequate levels of power and strength to perform repeated high-intensity actions in a very short time, which differ between team sports. Accelerations and decelerations are mainly significant in soccer, jumps and landings are crucial in basketball, and impacts are primarily identified in rugby. Besides, from these team sports, primary information about different technical/tactical variables was extracted such as (a) soccer: occupied space, ball controls, passes, and shots; (b) basketball: throws, rebounds, and turnovers; or (c) rugby: possession game pace and team formation. Regarding talent identification, both anthropometrics and some physical capacity measures are relevant in soccer and basketball. Although overall, since these variables have been identified in different investigations, further studies should perform PCA on data sets that involve variables from different dimensions (technical, tactical, conditional).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.