bluff catching exploit GTO In this video, Qing Yang from Run It Once explains why randomly mixing your play, while useful in high-stakes games, can actually be detrimental to your winrate in softer, lower-stakes environments. He provides examples of profitable exploitative plays. Randomizing your play is often necessary to balance your strategy at the highest levels, but can be counterproductive in weaker games. Exploiting imbalances is key. Key Strategies for Exploiting Weak Opponents: Challenges of accurately executing a GTO strategy Profitable exploits in soft/low-stakes games Using data and intuition to make optimal decisions Considerations around counter-exploitation When randomization is necessary vs. unnecessary
