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Poker Math That Matters

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90<br />

So, we lost $360 in Sklansky-bucks in this hand. However,<br />

looking at our Sklansky-bucks in a hand is a fairly poor way to<br />

examine our play too. We did not know exactly what the villain<br />

was holding when we got our money in. If we knew he held AA,<br />

of course we would fold. We’re dealing with an unknown factor<br />

and have to do our best to make assumptions about his range.<br />

The only thing we can do when the cards are flipped over is<br />

gather information about our opponent’s strategy for future use.<br />

We got our money in badly here, but that doesn’t mean we<br />

played poorly.<br />

G-bucks is a concept the well-known poker player Phil Galfond<br />

introduced to examine our expectation value verses a range.<br />

Here we analyze our expectation value in a hand verses our<br />

opponent’s assumed range. Obviously we don't know the big<br />

blind's hand, so we have to make some assumptions concerning<br />

what types of hands he'll raise all-in preflop in this situation.<br />

During that hand, we believed the villain would push all-in with<br />

JJ+ and AK. Let's take a look at the G-bucks. Against this<br />

range, KK has 66% equity. So, our EV equation of our call<br />

could look like this.<br />

0.66($1,280) + 0.34(-$720) = EV<br />

$844.80 - $244.80 = $600<br />

Given our assumptions about the villain's range, our G-bucks on<br />

the call were $600. So, this was a great call given the<br />

information available to us in the hand. The G-bucks is a good<br />

way to analyze your poker decision because it takes into account<br />

the unknown factor of the villain’s hole cards.<br />

Reciprocal-bucks is a bit outside the focus of this book, but I<br />

want to include it here. It’s a concept introduced by author<br />

Tommy Angelo. Reciprocal-bucks has to do with our strategy as

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