Counter-Strike Automated Betting System
Mar 27, 2023
Summary
The CS Automated Betting System is a project designed to optimize betting strategies for Counter-Strike matches. It employs a custom-built web scraping API with anti-bot detection to gather match data from various websites, storing it in PostgreSQL data tables. Through data extraction, models are constructed and refined to predict odds more accurately than those offered by sportsbooks. A custom Selenium web spider continuously monitors live odds on pinnacle.com, seizing opportunities by betting on the earliest and most favorable lines available. To overcome bot protection measures, 2Captcha is integrated into the system.
Github Repo.
The CS Automated Betting System is an innovative tool designed to enhance betting strategies for Counter-Strike matches. This system intelligently applies a combination of web scraping and data analysis to inform betting decisions.
System Architecture Diagram of the CS Automated Betting System
At the core of the system is a robust web scraping API, crafted to extract match data from an array of online sources. To navigate the challenges of anti-bot mechanisms, the system integrates advanced features like 2Captcha, ensuring uninterrupted data flow into PostgreSQL databases. These databases are the foundation upon which predictive models are built, aiming to outmatch the odds set by traditional sportsbooks.
Modeling and Execution Workflow
The workflow begins with the Custom Match/Player Data Web Scraper, which continuously collects essential data from the web. This information is processed and used to compute proprietary lines, which are then compared against live odds. The Bet Executor module is triggered when the system identifies favorable lines, executing bets swiftly to capitalize on the best available odds.
Technological Edge
The system gains a technological advantage through the integration of a Selenium web spider that operates on pinnacle.com. This tool monitors and analyzes live odds to pinpoint the most opportune moments for betting. Its effectiveness is enhanced by navigating around bot protections, achieved through the integration of 2Captcha, which ensures the system's operation is both efficient and reliable. Additionally, the system is hosted on a Beelink mini PC, enabling 24/7 operation and quick execution speeds. This setup allows the system to exploit opening lines—considered the most vulnerable—in advance of other market participants, thereby securing a significant competitive edge.
Conclusion
The CS Automated Betting System exemplifies the innovative application of technology in sports betting. By leveraging custom-built data acquisition and processing tools, it sets a new standard for predictive betting, providing users with a significant advantage in the competitive world of esports wagering. This system is still running and working so for those interested into digging into the code there may be some edge.