Futebol Capixaba Statistics is a data-driven project designed to centralize and analyze statistical information about the Campeonato Capixaba, the main football league in Espírito Santo.

Finding comprehensive and structured data on local football competitions is a challenge due to the scarcity of providers offering detailed match statistics. This initiative was developed to bridge that gap, aggregating and synthesizing information to provide deeper insights into the competition.

Currently in its beta version, the project is continuously evolving, refining data collection methods, and implementing machine learning models to enhance statistical accuracy. The platform enables users to explore match details, league standings, and game-by-game analysis, contributing to a more data-oriented perspective of local football.

Beyond the challenge of collecting data, the project also addresses common issues in data science, such as inconsistent naming conventions and data normalization. By structuring and refining this information, Futebol Capixaba Statistics aims to provide fans, analysts, and enthusiasts with a reliable source of insights into Espírito Santo’s football scene.

• Automated Data Collection

  Developed web scraping and API integration to gather real-time match data from the Campeonato Capixaba, ensuring accuracy and continuous updates.

• Advanced Data Analysis

  Implemented data normalization and machine learning techniques to process and structure information, providing deep insights into teams, players, and competition trends.

• Interactive Web Dashboard

  Designed a dynamic dashboard to visualize match statistics, league standings, and game-by-game analysis, making data easily accessible and user-friendly.

Technologies Used in This Project

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