GGPredict.io leverages AI to provide comprehensive coaching for CS:GO players, offering personalized training programs, performance metrics, and detailed analytics. The platform’s advanced data extraction capabilities allow players to track their progress, identify weaknesses, and compare their performance against other users. With features such as leaderboards, collaboration tools, and optimization tips, GGPredict.io aims to elevate player performance, making it a valuable resource for both amateur and professional gamers looking to improve their skills.

At its core, Gomoku Battle provides a robust simulation environment where AI agents adhere to a JSON-based protocol to receive board state updates and submit move decisions. Developers can integrate custom strategies by implementing simple Python interfaces, leveraging provided sample bots for reference. The built-in tournament manager automates scheduling of round-robin and elimination matches, while detailed logs capture metrics like win rates, move times, and game histories. Outputs can be exported as CSV or JSON for further statistical analysis. The framework supports parallel execution to accelerate large-scale experiments and can be extended to include custom rule variations or training pipelines, making it ideal for research, education, and competitive AI development.