Statistics & Testing

Test drawing rules, reproducible randomization and honest backtesting before trusting the results of a baccarat simulation.

Understand denominators, sampling error, finite-shoe assumptions and selection bias before trusting historical win rates.

Build a three-outcome transition table from synthetic observations and examine denominators, ties, shoe boundaries and out-of-sample tests.

Evaluate probability displays using explicit outcomes, reliability diagrams, out-of-sample scoring and baseline comparisons.

Learn why searching many historical patterns creates false discoveries and how a transparent evaluation separates exploration from verification.

A fair-coin calculation illustrates why finding a five-result streak somewhere in a long sequence is different from predicting one fixed window.