This poker simulation features 3 AI opponents with distinct playing styles: tight, aggressive, and tricky. Optimal strategy reduces the house edge. Pre-flop hand strength, pot odds calculation, and position awareness are key to long-term success.
Engine Mechanics: Poker hand evaluation engine against dealer hand. Player makes ante + play decisions. Optimal strategy reduces house edge.
RTP Control: Target RTP is configurable via the Dashboard → Game Control tab. The engine uses dynamic payout adjustment: rtpFactor = targetRTP / currentRTP clamped to [0.1, 2.5], applied to every win. Over ~500 rounds, actual RTP converges to target within ±1%.
House Edge: 2.2% at default settings. Revenue per 1,000 rounds at €1 avg bet: ~€22.
Variance Profile: Medium variance. AI opponents with varying styles (tight/aggressive/tricky) create realistic gameplay. Skilled players will perform closer to theoretical RTP. Revenue comes from blind structure and sub-optimal player decisions.