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Poker Math That Matters

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balanced poker every day of the week. And at the stakes most<br />

players play, there is no shortage of bad players. Now, if you are<br />

so bad at poker, you can’t exploit players at small stakes, you<br />

need to know that you’ll not be able to play a balanced game of<br />

poker. Understanding balanced poker and approaching<br />

implementing it requires advanced understanding of the game.<br />

By the time a struggling small-stakes player can begin<br />

developing a balanced game, they’d be better off exploiting all<br />

the bad players.<br />

So, what value does balance have? Thinking about balanced<br />

poker can help you grow in your poker theory and come up with<br />

new ideas. Understanding balanced poker can help you think<br />

about how to make adjustments to win an information battle.<br />

And understanding balanced poker will help you out in situations<br />

where you are simply forced to be sitting with players playing a<br />

superior strategy to yours. As you reach higher limits where the<br />

player pools are extremely small and the majority of players are<br />

very tough, developing a well-balanced strategy can take on a lot<br />

more importance. For most advanced players, however, much of<br />

what can be accomplished in thinking about balanced poker<br />

comes along intuitively. They can feel the spots that have<br />

glaring holes in their strategy and can work to balance those if<br />

they need to.<br />

But, for mid-stakes players on down to micro-stakes players,<br />

dedicating a lot of time developing balanced strategies is not the<br />

most +EV way to spend their time. Having said that, I enjoy<br />

thinking about balanced poker, and it certainly has its place in<br />

poker discussions. However, when I hear a micro-stakes player<br />

talking about not making a play because it’s unbalanced, I just<br />

sigh a bit. Even if those players could manage to play a wellbalanced<br />

game, the choice to play it instead of maximally

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