When do Risky Substitutions Improve Match Outcomes? Interpreting Causal Machine Learning Models for Insights
We investigate the impact of risk-taking on football match outcomes within the context of substitutions. The study uses an extensive dataset of 75 thousand substitutions spanning eight seasons across six leagues, encompassing team, match and manager characteristics, and interim results. Given the in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10320317/ |