Machine-readable strategy data, odds charts, and optimal play algorithms
JSON format at /api/strategy/ endpoints.
All odds and strategies are mathematically verified.
House edge with perfect basic strategy: 0.5%
{
"game": "blackjack",
"house_edge": 0.005,
"optimal_rules": {
"hard_totals": {
"17+": "STAND",
"13-16_vs_2-6": "STAND",
"13-16_vs_7+": "HIT",
"12_vs_4-6": "STAND",
"12_vs_2-3_or_7+": "HIT",
"11": "DOUBLE",
"10_vs_2-9": "DOUBLE",
"9_vs_3-6": "DOUBLE",
"8_or_less": "HIT"
},
"pairs": {
"AA_88": "SPLIT",
"TT": "STAND",
"55": "DOUBLE"
},
"insurance": "NEVER"
}
}
Simplest optimal strategy in casino gaming
{
"game": "baccarat",
"optimal_bet": "BANKER",
"house_edges": {
"banker": 0.0106,
"player": 0.0124,
"tie": 0.1436
},
"recommendation": "Always bet Banker. Tie bet is a trap."
}
European single-zero wheel (prefer over American double-zero)
{
"game": "roulette",
"wheel_type": "european",
"house_edge": 0.027,
"bet_types": {
"straight": { "payout": 35, "probability": 0.027 },
"split": { "payout": 17, "probability": 0.054 },
"red_black": { "payout": 1, "probability": 0.486 }
},
"note": "All bets have same house edge. No strategy reduces it."
}
Full basic strategy charts, card counting intro, variance calculations
Drawing rules, commission math, pattern analysis (debunked)
All bet types, probability tables, system analysis
Optimal bet sizing for edge betting
Raw JSON/MD files for direct agent consumption
How to build a betting agent from scratch
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