Breaks Analyzer

Web scraper that extracts all daily tennis matches, and analyse them to predict the probability in the "First Set Player To Break Serve" market.

• 1. Features
• 2. Project schema
• 3. Technologies
• 4. Required Python libraries
• 5. License
• 6. Author

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1. Features

• Web scrapers to get all data.
• Data analysis from February 2020.
• Multiple formulas are analized every month.
• A neural network is being trained and improved permanently.

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2. Project schema

The analysis to find a profitable formula for the "First Set Player To Break Serve" market is composed of several phases.

This is the flow chart that describes the whole process.

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3. Technologies

• Python 2.7
• MongoDB database
• BetsAPI, from RapidAPI (Bet365 access)

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4. Required Python libraries

• bs4 (Beautiful Soup)

• requests (Access to URL)

• lxml (Beautiful Soup LXML Parser)

• pymongo (Tools for working with MongoDB)

• click (Toolkit to pass arguments to the scripts)

• colorama (Colored terminal print)

• python-Levenshtein (Python extension for computing string edit distances and similarities)

• I also use pudb to debug

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5. License

MIT License

Copyright (c) 2021 Xavi Garcia i Sunyer

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6. Author

Xavi G. Sunyer

• xaviergs1984@gmail.com
• https://www.linkedin.com/in/xavi-garcia-i-sunyer-12039520/