Football

This small project can import football results by using a webcrawler and analyse the data in flask.

It was created to learn flask, web crawling, data processing and data visualization.

Features

• flask generates an interactive GUI environment
• extract the soccer results from the official DFB-website (https://www.dfb.de/index/)
• format and save the data in CSV-files automatically
• get season overviews
• create dynamic data diagrams
• calculate the attack/defence value of each club and try to predict the results (based on poisson)
• compare the predicted and real results by using the coefficient of determination (R²)

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First Steps:

Import results

• open main.py and choose the url for a league

• run:

GET_ALL(url)

• results will be saved in a CSV-file automatically (folder: CSV)

Select a data source

• open main.py and select the CSV-file you want to work with

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GUI

start START_Gui.py (default IP: 127.0.0.1:5000)

choose a club in the dropdown menu:

now you can switch between the options and analyse the data:

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Example calculation: