Rust Monte Carlo Simulation Mathematics

Blackjack Monte Carlo Engine

A sophisticated Blackjack game built in Rust featuring Monte Carlo simulation for optimal strategy recommendations. The engine runs 100,000 simulations of 'hit' or 'stand' scenarios, to provide mathematically optimal play decisions, achieving near-basic strategy performance with a 41.90% win rate.

Rust Monte Carlo Simulation Probability Theory CLI

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Project Metrics

2.8 seconds

Simulation Speed

Time to complete 200,000 Monte Carlo iterations

41.90 %

Win Rate

Achieved player win rate over 1000 game simulations

9.90 %

Push Rate

Push rate falls within standard 9-10% range

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