xavigs/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.

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

• [email protected]
• https://www.linkedin.com/in/xavi-garcia-i-sunyer-12039520/