Essential Poker Math, Expanded Edition: Fundamental No-Limit Hold'em Mathematics You Need to Know (Unabridged)
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- CHF 26.00
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- CHF 26.00
Beschreibung des Verlags
Poker math is a vitally important aspect to no-limit hold'em poker, but it's often overlooked or simply not used because many poker players fear it's too difficult to learn. I'm here to tell you it is not. In fact, fundamental poker math is very easy to learn. More importantly, it can yield you a lot more profits at the poker table.
In this book, I'll teach you how to use simple math at the poker table to gain a huge skill advantage over your opponents that'll allow you to win more and lose less. First, you'll be introduced to several fundamental overarching poker concepts that apply to poker math. Then we'll begin our journey into poker math where you'll learn about fundamental poker mathematics, including probabilities and odds, pot equity, pot odds, implied odds, the rule of two and four, expected value (EV), and much more. We'll then embark on a journey of learning about important pre-flop and post-flop poker mathematical concepts, such as pre-flop all-in situations, set-mining, steal attempts, three-bet bluffing, betting with the best hand, semi-bluffing all-in, bluffs and hero calls. Lastly, you'll learn how to perform basic and intermediate expected value calculations and utilize card combinations, better known as combinatorics.
Expanded edition includes:
New material with greatly expanded content and four new chapters
Over 70 carefully devised practice and example poker hands
Free enrollment into my eight-point-five hour essential poker math video training course
After listening to this book, you'll have mastered fundamental no-limit hold'em mathematics. You'll have gained a huge skill advantage over your opponents and will be able to effectively use math at the poker table to make profitable moves. Most importantly, you'll become a much better and profitable poker player!
Purchase this book today to start advancing your poker game with simple poker math.