APPLIED PROBABILITY INSTITUTE // OPEN SCIENCE
Applied Research & Open Data
Reproducible empirical studies, peer-reviewed methodology, and open-source datasets for poker game theory analysis.
EMPIRICAL WHITEPAPER // 10 MILLION HANDS
PEER-GRADE
Preflop Equity Distribution & Card Removal Empirical Study
Exhaustive Monte Carlo evaluation of 1,326 starting hand permutations, blocker impact on opponent ranges, and cash game rake drag in Texas Hold'em.
SampleSize 1,326 Combos
MC Trials 100,000 / Hand
BENCHMARK DATASET // 10M HANDS
RAW CSV
Texas Hold'em 1,326 Equity Matrix
Full 1,326-row dataset featuring every suit combination, hot-and-cold equities, win/tie rates, and multi-range defense metrics.
Format CSV (142 KB)
Metrics 21 Columns
PYTHON WORKBOOK // REPRODUCIBLE CODE
PYTHON 3.11
Monte Carlo Simulation Engine (Python 3)
Open-source simulation suite to reproduce preflop equity calculations, heads-up matchups, and cash game rake drag analysis.
Execution command:
python poker_monte_carlo_engine.py --verify Live Dataset Sample (First 5 Rows)
Sample canonical hands demonstrating preflop equities, playability scores, and GTO opening classifications
| Hand | Category | Combos | Equity vs Random | vs Top 10% | Playability | Tier | GTO Action |
|---|---|---|---|---|---|---|---|
| AA | Pocket Pair | 6 | 85.20% | 82.50% | 10.0 / 10 | Tier 1 (Premium) | 100% Open |
| KK | Pocket Pair | 6 | 82.40% | 74.30% | 9.8 / 10 | Tier 1 (Premium) | 100% Open |
| Pocket Pair | 6 | 79.92% | 67.20% | 9.6 / 10 | Tier 1 (Premium) | 100% Open | |
| AKs | Suited Broadway | 4 | 67.04% | 63.10% | 9.5 / 10 | Tier 1 (Premium) | 100% Open |
| JJ | Pocket Pair | 6 | 77.47% | 61.10% | 9.2 / 10 | Tier 1 (Premium) | 100% Open |
| AKo | Offsuit Broadway | 12 | 65.31% | 60.80% | 8.8 / 10 | Tier 1 (Premium) | 100% Open |
| 76s | Suited Connector | 4 | 47.53% | 27.20% | 7.7 / 10 | Tier 3 (Playable) | Open (CO/BTN) |
| 72o | Offsuit Unconnected | 12 | 34.58% | 7.80% | 1.0 / 10 | Tier 5 (Trash) | Pure Fold |
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