Turning historical data into profitable insights through automated value detection, bankroll simulation, and strategy optimization.
The AI Football Betting Simulator is a predictive analytics platform designed to test and optimize betting strategies using historical sports data. It allows users to apply filters such as timeframes, odds ranges, expected value thresholds, and bankroll models (Fixed, % Bankroll, Kelly).
Built using a Node.js backend with Python ML integration and MongoDB for result storage, the simulator runs historical backtests across thousands of football matches — helping bettors understand profitability under different strategies.
Most bettors rely on intuition or partial data when making decisions. There was no easy way to simulate past betting performance or test value-based strategies in a controlled, data-driven environment.
Traditional systems lacked data transparency, configurable models, and risk control simulation. This made it nearly impossible for bettors to evaluate long-term profitability with confidence.
OudenX engineered a modular simulation engine that combines historical odds data, machine learning, and bankroll management logic to deliver precise performance analytics.
After testing across one year of historical data, the system produced measurable insights for betting strategies:
The AI Football Betting Simulator turns sports betting into a measurable science — bringing analytical precision, transparency, and automation to decision-making.
OudenX combines data science and AI to empower bettors, analysts, and platforms with the ability to test, learn, and grow intelligently.
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