Monte Carlo Method, Probability, Python, Data Science.
until 10,000 spins, we would average -4, 4.399, and -2.88 for an estimated -0.827% return. We can see here that after more and more iterations through a massive amount of combinations of games, our expected average return slims down towards 0% with smaller and smaller variance. We can then infer