Modern Poker Theory: Building an unbeatable strategy based on GTO principles

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Modern Poker Theory: Building an unbeatable strategy based on GTO principles

Modern Poker Theory: Building an unbeatable strategy based on GTO principles

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Requirements for continuing with made hands may be lower because loose players may also be playing lower value hands.

I know math can be terrifying. I know graphs and charts can be daunting. I know this because I myself am not one of the gifted few who are number crunching savants. Fortunately, as I mentioned above, Michael has a talent for simplifying complex concepts such that anyone can understand them. Seriously, he almost had me thinking I could do calculus. Almost! This type of situation comes up most often in tournament style play. In a cash game, the adjustments are very similar, but not quite as drastic as the table can ask for what is known as a 'rake break.' A rake break occurs when the floor-man, who represents the casino, agrees to take a smaller portion than usual for the hand. For example, a random casino might normally receive 10% of the pot up to 5 dollars for a 'rake.' In this case the table would only owe 10% up to 3 dollars until there are a sufficient number of players again. In online poker rake breaks are determined automatically. Loose players play relatively more hands and tend to continue with weaker hands; hence they do not often fold. Tight players play relatively fewer hands and tend not to continue with weaker hands; hence they often fold. The following concepts are applicable in loose games (and their inverse in tight games): [1] The modern poker theory prefers this approach over the exploitative one as it makes things easier to handle in the long run – provided you’re able to master all the intricacies of the GTO approach first. GTO Approach Eliminates Assuming However, by playing a GTO strategy, you can start making good decisions from the first hand you play without having to make any assumptions. GTO Prevents Players from Being Results-OrientedSometimes I found it to be long winded, however, in the end of a chapter, I usually understood the authors reasoning for trying to explain things beforehand. If you can force yourself through all of the pre-explanation equations, it is usually worth it in the end. But, I think that the author might have benefitted from giving a more simple description of the practical applications before each chapter started, and then let the reader decice of they would like to continue on to the more comlex equations come. However, they do tend to give a good synopsys at the end of the sections, even if it’s at the last minute when you think it will never come. In 2014, Bwin conducted a study to see what makes a professional poker player. The brain activity of poker players, of varying degrees, was monitored using EEG headsets and visualised into brain maps. [7] Leading sports psychologist, James Hazlett, then interpreted the findings: Make sure that you do everything possible to get on the left of the weaker players. This will make isolating them and winning more pots against them so much easier. 3. Keep Your Foot on the Gas Pedal

Unlike calling, raising has an extra way to win: opponents may fold. An opening bet may be considered a raise from a strategy perspective. David Sklansky gives several reasons for raising, summarized below. [1] Implied odds is a more complicated concept, though related to pot odds. The implied odds on a hand are based not on the money currently in the pot, but on the expected size of the pot at the end of the hand. When facing an even money situation (like the one described in the previous paragraph) and holding a strong drawing hand (say a Four flush) a skilled player will consider calling a bet or even opening based on their implied odds. This is particularly true in multi-way pots, where it is likely that one or more opponents will call all the way to showdown. Game theory optimal or GTO is a poker strategy based on a brand of applied mathematics called game theory.

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While I prefer the KISS method: We win 75% plus (29%)(25%) = 82,25% or alternately, Villain wins (71%)(25%) = 17,75%, it seems that the author comes up with a slightly more complex equation, which nevertheless, arrives at the same answer of 82,28%.



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