Extracted Study-Level Metadata for Machine Learning in Football Performance Analysis: A Systematic Review
This dataset contains extracted study-level metadata for 64 studies included in the systematic review Machine Learning in Football Performance Analysis. The dataset includes study identifiers, reference numbers, authors, year, title, sample size, sample unit, data modality, machine-learning family, measure/output, reported metric or value where available, data provider, region, risk-of-bias rating, and DOI/URL. It was prepared from the review’s supplementary material to support transparency, reproducibility, and future updating of the review.
Authors
- Abdul Hadi Mohamad (ORCID: https://orcid.org/0000-0003-0762-4126)
- David Asirvatham (ORCID: https://orcid.org/0000-0002-4266-0184)
- Chun Hang Lee (ORCID: https://orcid.org/0009-0000-0361-0857)
Institutions
- Asia School of Business (MY)
- Taylor's University (MY)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-18
- DOI
- https://doi.org/10.5281/zenodo.20740518
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00