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Poker Math

Guide to Learn and Understand Hold'em Mathematics and Strategies to Win the Games of Poker

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Poker Math

Von: Connor L. Bailey
Gesprochen von: Michael Veveiros
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Poker Mathematics

Do you want to BEAT THE BANK?

Poker is a game of skill and using the ability to read situations and opponents to give you the advantage in each hand you play. It is also a game of mathematics, where you should be able to calculate the odds of either you or your opponent winning the hand in any situation.

A brief insight of this book....

Learning how to use mathematics in poker can be a difficult process at the start, but we highly recommend that you keep trying, as it will help you to become a long-term winning poker player. After a while things will start to "click", and you understanding of pot odds and expected value will become a lot easier. Poker mathematics can be fun but also will be used to improve your poker game exponentially. The guy in your weekly poker tournament who always takes home the pot isn't the best or luckiest player, he's simply the best at working out the odds and playing the hands for the maximum chance of winning it all.

Included in the book....

  • What Is Bluffing?
  • How to Bluff in Online Poker Successful Bluffing in Texas Hold'em
  • Poker Betting Strategy - How to Increase Your Odds of Winning in Poker
  • Texas Holdem Poker: Semi-Bluffing and Defensive Betting
  • What Does Mathematics Have to Do with Playing Poker?
  • Three Keys to Poker Psychology
  • The Easiest Way to Understand Math in Poker
  • What Is Probability?
  • Playing Poker Rules and Terms You Need to Know

Who is this book for?

Are you looking to improve your all-round poker playing technique? Are you looking to get an edge in competitive online poker games and tournaments? Are you simply looking to become a better player for your weekly poker night, or do you just want to know more about probabilities and chance?

If YES, then this book is FOR YOU!

What are you waiting for? Grab your copy now!

©2019 Connor L. Bailey (P)2020 Connor L. Bailey
Mathematik

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