“The present analysis aims to examine data from various teams in the 2024–2025 Greek Super League season, in order to identify patterns related to team performance and to visualize the data both interactively and statistically.”
- Clone the repository:
git clone https://github.com/timosvar/SuperLeague-Case-Study.git
cd Superleague-Case-Study- Install dependencies:
pip install -r requirements.txt- Run the script
python main.py-
Calculates Goal Difference (GD) per team.
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Visualizes:
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Goal Difference bar chart
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Pie chart of Wins, Draws, and Losses
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Clustered bar chart (Goals scored vs Goals conceded)
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Identifies best and worst teams by Goal Difference.
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Calculates correlation between Goals Scored and Wins.
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Provides an Attack & Defence Review per team.
This project was created as part of the Workearly Data & Programming Summer School course.