This project is a data visualization of Arsenal's expected goals (xG) against different formations during the 2022/2023 season. The data was obtained from Understat.com and the chart was created using the Matplotlib library in Python. Getting Started
To run this project, you'll need to have Python 3 and the following libraries installed:
Matplotlib
NumPy
You can install these libraries using pip:
pip install matplotlib numpy
If you'd like to contribute to this project, feel free to fork this repository and submit a pull request with your changes. Please make sure to follow the Python style guide and include tests for any new functionality.
This project was created by @SeifAjax04. The data used in this project was obtained from Understat.com.
The goal of this project is to explore how Arsenal's xG varies against different formations, and to identify which formations they are most effective against. By visualizing this data, we can gain insights into the strengths and weaknesses of Arsenal's tactics, and potentially identify areas for improvement.
We hope that this project will be useful to Arsenal fans, data analysts, and anyone interested in sports analytics. We also welcome feedback and contributions from the community, as we believe that collaboration is key to advancing our understanding of sports data.
Feel free to modify and expand upon these descriptions to accurately reflect the purpose and goals of your project. This will help users understand the significance of your visualization and what they can expect to gain from it.
Thank you all for your support and encouragement! Keep up the good work, and happy coding!