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xG Model Exploration ⚽

A small personal project exploring Expected Goals (xG) models in football.

Goal

The project aims to build a simple theoretical xG baseline based on shot location, distance, and angle, and compare it with real-world xG and shooting outcomes.

The main idea is to use the theoretical xG as a reference and study the deviation between expected and actual performance, with the longer-term goal of exploring whether such differences can reflect a player's finishing ability.

Current Progress

  • Shot location visualisation
  • Player shooting heatmaps
  • Basic theoretical xG calculation and visualisation

More analysis will be added as I continue learning football analytics.

Tools

Python · Jupyter Notebook · NumPy · Matplotlib

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trial of xG models

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