Poker Probability Simulator

Research Platform - Academic Use Only

Advanced Poker Probability & Decision Simulation System

A comprehensive research platform for analyzing Texas Hold'em game theory, computing mathematically correct probabilities, and simulating AI decision-making through Monte Carlo methods and GTO approximations.

Core Modules

Live Poker Tracker
Real-time game tracking with bankroll management, hand history, and AI-powered decision recommendations
Equity Calculator
Monte Carlo simulation engine for computing win probabilities, outs calculation, and range analysis
EV Analysis
Expected value computation for call, raise, and fold decisions with visual heatmaps
GTO Simulation
Counterfactual Regret Minimization (CFR) for game-theoretically optimal strategy computation
AI Predictions
Machine learning models for action tendency prediction and decision pattern analysis
Research Disclaimer
This system is designed exclusively for academic research and thesis work. All simulations use theoretical game states and probability models. This tool does NOT provide real-time gambling advice and should not be used for live play or real-money applications.

Research Methodology

Monte Carlo Simulation

Run thousands of randomized scenarios to compute statistically accurate equity distributions and outcome probabilities

Game Theory Analysis

Apply CFR algorithms to approximate Nash equilibrium strategies in imperfect information games

Statistical Modeling

Comprehensive hand evaluation, range construction, and probability-based decision tree analysis