Soccer-and-Stats

The Aim of this repository is to Udderstand The beautiful game ⚽ using Statistics.
This Consists of:

An xG (Expected Goals) model which calculates the probability of a shot leading to a goal
A Value model which evaluates and ranks players based on their on ball actions. Used by Football Scouts.
Note:Both of these are based on data from Barclays Premier League from the 2017-18 season. However, users can use data from any of the leagues given here in the dataset.
A Shots and passes map which, as the name suggests maps the shorts and passes of a particular match.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
Statsbomb		Statsbomb
Wyscout		Wyscout
FCPython.py		FCPython.py
README.md		README.md
Shots and Passes.ipynb		Shots and Passes.ipynb
Value 1.ipynb		Value 1.ipynb
Value 2.ipynb		Value 2.ipynb
Value 3.ipynb		Value 3.ipynb
Value 4.ipynb		Value 4.ipynb
xGModel.ipynb		xGModel.ipynb

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