ArticleSports (Basel, Switzerland)2022
A Multidisciplinary Investigation into the Talent Development Processes at an English Football Academy: A Machine Learning Approach.
Article in Sports (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- The Role of Machine Learning in Talent Identification for Team Sports: A Systematic Review.Journal of sports science & medicine · 2026Pooled it
- Artificial intelligence in football talent identification: a systematic review.Frontiers in sports and active living · 2026Pooled it
- Effects of Early Talent Promotion on Junior and Senior Performance: A Systematic Review and Meta-Analysis.Sports medicine (Auckland, N.Z.) · 2024Pooled it
- "It was clear from his childhood that he was destined to be a top striker": investigating the construction of football talent narratives in the Italian sporting press.Frontiers in psychology · 2026Article
- Explainable machine learning for age-specific talent identification in Chinese youth football.Frontiers in sports and active living · 2026Article
- Machine learning applications in sport: a scoping review.Frontiers in psychology · 2026Review
- Barriers and Facilitators in the Junior-to-Senior Transition in Male Football-A Scoping Review.Sports (Basel, Switzerland) · 2025Review
- Artificial Intelligence in Sports Biomechanics: A Scoping Review on Wearable Technology, Motion Analysis, and Injury Prevention.Bioengineering (Basel, Switzerland) · 2025Review
- The optimization of youth football training using deep learning and artificial intelligence.Scientific reports · 2025Article
- "More players can reach national and international levels": coaches perceptions of "birthday-banding" in youth squash and its potential for minimising relative age effects.Frontiers in sports and active living · 2025Article
- Article
- How do college coaches in the United States identify youth female and male soccer players?PloS one · 2025Article
- Data Mining Paths for Standard Weekly Training Load in Sub-Elite Young Football Players: A Machine Learning Approach.Journal of functional morphology and kinesiology · 2024Article
- Special Issue "Sports Science in Children".Children (Basel, Switzerland) · 2024Article
- Development and Validation of an Observational Game Analysis Tool with Artificial Intelligence for Handball: Handball.ai.Sensors (Basel, Switzerland) · 2023Article
- Special Issue "Talent Identification and Development in Youth Sports".Sports (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The talent development processes in youth football are both complex and multidimensional. The purpose of this two-fold study was to apply a multidisciplinary, machine learning approach to examine: (a) the developmental characteristics of under-9 to under-16 academy players (
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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.