Data Scraping and Analysis of Football Soccer Matches

The purpose of this project was to develop multiple algorithms to achieve a meaningful analysis from football soccer matches statistics.

Workflow

Code - Jupyter Notebook

Overview

Release date: June, 2026

1. Developing a web scraper to extract match statistics (I used Selenium and BeautifulSoup).

2. Perform Exploratory Data Analysis (EDA): Dataset cleaning, summary and visualization (Pandas, Matplotlib, Seaborn).

3. Extract insights from graphics developed and variables described. Take a look at the relationship between variables.

4. Drive conclusions from data analyzed.

Screenshots

Contact

My social media.

© 2025. All rights reserved. - Developed by Alfonso Vecino. alfonso_uis@hotmail.com