Poker Pro Shares Insights on Training with Solvers Using Greenwood's Method

Poker professional Sam Greenwood recently shared his insights on training with solvers, highlighting the importance of using a randomizer to ensure unpredictable play. In a GTO duel on the Octopi Poker channel, Greenwood faced off against professional player Steven Chidwick. Both players competed against the solver 'George' from Octopi, taking turns to make decisions. Points were deducted for each mistake, and the player who lasted the longest was declared the winner.

Greenwood emphasizes that using a randomizer is crucial when training against solvers. This method helps players develop a mixed strategy, making it harder for opponents to predict their moves. He explains that while randomization is useful against top players, it is essential when training against automated software. This is because the training environment allows for more precise and perfect play against the strongest opponent possible.

During the duel, Greenwood made a significant mistake in a specific hand. He discussed the hand in detail, explaining his thought process and the decisions he made. The hand involved a flop with a king of hearts and two cards to the wheel, a turn with a tricky card, and a river where 'George' made an unusual lead. Greenwood's analysis of the hand provides valuable insights into the complexities of poker strategy and the importance of using a randomizer in training.