Bayes-xG: player and position correction on expected goals (xG) using Bayesian hierarchical approach
This study employs Bayesian methodologies to explore the influence of player or positional factors in predicting the probability of a shot resulting in a goal, measured by the expected goals (xG) metric. Utilising publicly available data from StatsBomb, Bayesian hierarchical logistic regressions are...
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| Main Authors: | , |
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| Format: | Book |
| Published: |
Frontiers Media S.A.,
2024-06-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |