Interpretable Machine Learning for Football Performance Analysis: Evidence of Limited Transferability from Elite Leagues to University Competition
Researchers found that machine learning models trained on elite European football leagues lose interpretability and reliability when applied to university-level competition, suggesting that performance insights don't transfer across competition tiers. The study reveals that explanation stability and feature importance hierarchies are domain-dependent, challenging the assumption that ML-derived performance determinants are universally applicable.