Blackjack Math
APPLIED PROBABILITY INSTITUTE // OPEN SCIENCE

Applied Research & Open Data Suite

Reproducible empirical studies, 100M-hand Monte Carlo benchmarks, and open-source datasets for blackjack probability and casino rule mutations.

EMPIRICAL PREPRINT // 100M ROUNDS PEER-GRADE

Player Expectations, Variance & Dealer Distributions: 100M Simulation Study

Exhaustive convergence analysis across single, double, six, and eight-deck shoe configurations, proving exact expectation shifts from 3:2 to 6:5 natural payouts and H17.

100M Rounds S17 vs H17 3:2 vs 6:5
RAW DATASET // CSV CC-BY-4.0

Dealer Upcard Probability Matrix

Exhaustive absorption probabilities (totals 17–21 and bust frequency) for all upcards 2 through Ace under S17 and H17 rules.

22 Vectors Totals 17–21 Bust Rate
AUDIT SUITE // PYTHON STDLIB

Simulation Verification Suite (Python 3)

Deterministic test runner validating dataset row integrity, probability sum axioms (1.00 ± 0.005), and House Edge + RTP parity.

Python 3.10+ 0 External Deps SHA-256 Validated

Empirical Dealer Upcard Distribution (Preview)

Subset of audited dealer absorption vectors under Standard 6-Deck S17 rules benchmarked over 100 million rounds:

Upcard Rule P(17) P(18) P(19) P(20) P(21) P(Bust)
2 S17 13.98% 13.41% 13.05% 12.41% 11.89% 35.26%
4 S17 13.05% 12.09% 11.62% 11.58% 11.41% 40.25%
5 S17 12.23% 12.21% 11.72% 10.39% 10.85% 42.60%
6 S17 16.54% 10.63% 10.61% 10.12% 9.78% 42.32%
7 S17 36.85% 13.78% 7.84% 7.89% 7.62% 26.02%
10 S17 11.18% 11.19% 11.21% 33.41% 11.59% 21.42%
A S17 13.08% 13.09% 13.07% 13.12% 35.94% 11.70%

Open Science & Academic Reproducibility

In accordance with Open Science standards, all simulation matrices and validation algorithms are released under Creative Commons Attribution 4.0 International (CC-BY-4.0).

01 // FETCH

Clone the repository or download the CSV distribution suite.

02 // VERIFY

Execute the Python audit suite to verify matrix completeness and row sums.

03 // INTEGRATE

Integrate the verified expectation vectors into your own statistical modeling tools.

# Verification terminal command
python papers/verify_simulations.py