Inside soccer’s data renaissance
Sports analytics research with no immediate Australian public sector or AI governance implications.
Key points
- KU Leuven researchers apply machine learning and tree ensemble models to analyse professional soccer tactics.
- The work has no direct Australian public sector or AI governance angle.
- Low signal for APS readers; included for completeness rather than priority.
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"Inside soccer’s data renaissance"
Source: MIT Technology Review – AI
Published: 11 June 2026
URL: https://www.technologyreview.com/2026/06/11/1138506/inside-soccer-data-renaissance-jesse-davis/
MIT Technology Review profiles Jesse Davis, a KU Leuven computer science professor whose lab applies machine learning and data analytics to professional soccer. His team uses techniques such as tree ensemble models trained on over 1.4 million passes to uncover tactical insights, including the strategic value of deliberate out-of-bounds plays. While the research demonstrates applied AI methods in a novel domain, it has no direct relevance to Australian government AI policy, governance, or public sector practice.
Retrieved from SIMS, 18 July 2026.