Double Monopoly
A Monte Carlo simulation tool that solves a relatable problem: the endless end-game of Monopoly where two players just keep rolling dice hoping the other lands on their properties. Rather than playing it out for hours, the simulator I built provides statistical analysis in seconds.
The Problem: In late-game Monopoly, there’s almost no strategy left - just probability. You roll, hope your opponent lands on your properties more than you land on theirs, and repeat for hours. This is exactly the kind of problem computers excel at solving.
The Solution:
- Configure the current board state (properties, cash, houses)
- Set risk-aversion parameters (cash reserves)
- Run thousands of simulations from that starting point
- Get statistical analysis showing win probabilities
Technical Approach: Built with Angular, the simulator implements Monte Carlo methodology to run thousands of game iterations from any given board state. Each simulation plays out the probabilistic outcomes of dice rolls, property landings, and financial decisions. The tool includes detailed logging for transparency and verification.
Learning Value: This project served dual purposes: deepening my Angular expertise while exploring probabilistic modeling and simulation techniques. It demonstrates how complex scenarios with many variables can be analyzed through computational methods rather than pure mathematical calculation.
