bluff EV exploit GTO MDA Deep dive into advanced bluffing theory comparing GTO solver approaches versus exploitative play based on population data. Explores MDA methodology, range construction, and practical river bluffing decisions against different opponent types in modern poker. Theory-based bluffing often ignores opponent tendencies. Combining solver knowledge with population data creates optimal bluffing strategies. Strategic Bluffing Fundamentals: Theory vs Reality Gap - Pure GTO bluffing ignores actual opponent behaviors and tendencies MDA Limitations - Population data doesn't account for board texture variations and player types Exploitative Edge - Adjusting from theory based on opponent tendencies can increase EV by 93x River Bluff Selection - Draw completions make bluffs more intuitive but allow fewer bluffing opportunities Timing Tells Matter - Quick calls often indicate strong hands, especially from recreational players Range Construction Impact - Disconnected betting lines create different bluffing opportunities and frequencies Opponent-Specific Sizing - Recreational players require different bet sizes than regulars for profitable bluffs
