Collection of Various Shorthanded Limit Hold'em Articles/Posts
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poker philadelphia.livecasinohotel.com 900 Packer Avenue, Philadelphia, PA 19148 GAMBLING PROBLEM? Call 1-800-GAMBLER 10. In most situations, a player who has no interest POKER GUIDE in the pot should still hold onto their hand although no-one has bet. They should not fold, even in turn, TABLE OF CONTENTS because another player may gain an advantage over 1. Poker Etiquette .......................Pg. 1-2 a competitor by that act. 2. House Policies......................... Pg. 3 11. Arranging one’s chips to conceal higher 3. Buy In . Pg. 3 denominations is not allowed. 4. Table Stake / All In . Pg. 3 12. “Splashing the pot,” throwing chips into the pot 5. Operating Procedure & Policy ........... Pg. 3 so they become mingled with chips that are already 6. Texas Hold ‘Em . .Pg. 4-5 there, making the amount wagered unverifiable, is 7. Omaha Poker........................ Pg. 5-6 inappropriate. 8. Seven Card Stud......................Pg. 7-8 9. Badugi Poker.........................Pg. 8-9 13. If a player expects to be leaving the game for a long 10. 2-7 (Deuce to Seven) ................... Pg. 9 time, a supervisor should be notified. 11. Poker Hand Rankings ..................Pg. 10 14. A player is entitled to quit the game any time they 12. Glossary of Poker Terminology ........Pg. 11-14 choose, without suffering criticism. 13. Proper Conduct........................Pg. 14 15. Criticism of the way another player has elected to play their hand, or their general style of play, is POKER ETIQUETTE: impolite and undesirable. 1. Language, dress, hygiene and behavior should be of 16. Lengthy post-mortems about a hand are unwelcome. -
Early Round Bluffing in Poker Author(S): California Jack Cassidy Source: the American Mathematical Monthly, Vol
Early Round Bluffing in Poker Author(s): California Jack Cassidy Source: The American Mathematical Monthly, Vol. 122, No. 8 (October 2015), pp. 726-744 Published by: Mathematical Association of America Stable URL: http://www.jstor.org/stable/10.4169/amer.math.monthly.122.8.726 Accessed: 23-12-2015 19:20 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at http://www.jstor.org/page/ info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Mathematical Association of America is collaborating with JSTOR to digitize, preserve and extend access to The American Mathematical Monthly. http://www.jstor.org This content downloaded from 128.32.135.128 on Wed, 23 Dec 2015 19:20:53 UTC All use subject to JSTOR Terms and Conditions Early Round Bluffing in Poker California Jack Cassidy Abstract. Using a simplified form of the Von Neumann and Morgenstern poker calculations, the author explores the effect of hand volatility on bluffing strategy, and shows that one should never bluff in the first round of Texas Hold’Em. 1. INTRODUCTION. The phrase “the mathematics of bluffing” often brings a puzzled response from nonmathematicians. “Isn’t that an oxymoron? Bluffing is psy- chological,” they might say, or, “Bluffing doesn’t work in online poker. -
Blind Stealing: Experience and Expertise in a Mixed-Strategy Poker
Blind Stealing: Experience and Expertise in a Mixed-Strategy Poker Experiment! ; Matt Van Esseny John Wooderszx March 2013 This version: October 2014 Abstract We explore the role of experience in mixed-strategy games by comparing, for a stylized version of Texas Hold-em, the behavior of experts, who have extensive experience playing poker online, to the behavior oF novices. We Önd signiÖcant di§erences. The initial frequencies with which players bet and call are closer to equilibrium for experts than novices. And, while the betting and calling frequencies of both types of subjects exhibit too much heterogeneity to be consistent with equilibrium play, the frequencies of experts exhibit less heterogeneity. We Önd evidence that the style of online play transfers From the Öeld to the lab. Keywords: expertise, mixed strategy, minimax, laboratory experiments. JEL Codes: C72, C91 !We are grateful to Cary Deck, Keisuke Hirano, Jason Shachat, Mark Walker, the seminar participants at HKUST, Louisiana State University, STIET at the U. oF Michigan, U. oF Alberta, U. of Alabama, U. British Columbia, U. of Arizona, UNSW, U. oF Southern Australia, U. of Sydney, U. of Virginia, U. of Zurich, and the participants at the Econometric Society Australasian Meetings (ESAM, Melbourne) and the 2012 meetings of the Southern Economics Assocation. yDepartment oF Economics, Finance, and Legal Studies, University of Alabama, Tuscaloosa, Alabama 35473 ([email protected]). zEconomics Discipline Group, University of Technology Sydney ([email protected]). xWooders is grateful For Önancial support From the Australian Research Councilís Discovery Projects Funding scheme (project number DP140103566). 1 1Introduction Game theory has revolutionized the Öeld oF economics over the last 60 years and has had a signiÖcant impact in biology, computer science, and political science as well. -
Abiding Chance: Online Poker and the Software of Self-Discipline
ESSAYS Abiding Chance: Online Poker and the Software of Self- Discipline Natasha Dow Schüll A man sits before a large desktop monitor station, the double screen divided into twenty- four rectangles of equal size, each containing the green oval of a poker table with positions for nine players. The man is virtu- ally “seated” at all twenty- four tables, along with other players from around the world. He quickly navigates his mouse across the screen, settling for moments at a time on flashing windows where his input is needed to advance play at a given table. His rapid- fire esponsesr are enabled by boxed panels of colored numbers and letters that float above opponents’ names; the letters are acronyms for behavioral tendencies relevant to poker play, and the numbers are statistical scores identifying where each player falls in a range for those tendencies. Taken together, the letters and numbers supply the man with enough information to act strategically at a rate of hundreds of hands per hour. Postsession, the man opens his play- tracking database to make sure the software has successfully imported the few thousand hands he has just played. After quickly scrolling through to ensure that they are all there, he recalls some particularly challenging hands he would like to review and checks a number Thanks to Paul Rabinow and Limor Samimian- Darash, for prompting me to gather this material for a different article, and to Richard Fadok, Paul Gardner, Lauren Kapsalakis, and the students in my 2013 Self as Data graduate seminar at the Massachusetts Institute of Technology, for helping me to think through that material. -
Article 3 Understanding Hand Strength After the Flop Pokerlist
Article 3 Understanding Hand Strength After The Flop Pokerlist.org For the most part, post flop play is determined by the strength of your hand and the relative hand strength of your opponent’s hand range. It sounds really complicated but it really isn’t. On the flop when the three community cards are dealt, you will have a better understanding of the strength of your hand and whether or not you should bet. If you have some type of made hand you have to decide if you likely have the best hand. It will almost become second nature to ask yourself how the flop could have changed the strength of your hand? Let’s take a look at the strength of hands to consider after the Flop. Monster hands don’t occur very often and include quads, boats, flushes, and straights. These hands are almost certainly the best hand if it goes to showdown and should be played like the nuts. You want to create big pots when you have monster hands. The second category is very strong hands, which include sets and two pair hands. Whenever you have these hands you likely have the best hand. Sure, you will sometimes lose with set over set, but if you are not playing sets and two pairs like the nuts, quite often you will not be extracting maximum value. Overpairs and top pair hands are the next group of strong hands. Depending on your opponents, with these hands you can usually expect to extract three streets of value when you are doing the betting. -
Kill Everyone
Kill Everyone Advanced Strategies for No-Limit Hold ’Em Poker Tournaments and Sit-n-Go’s Lee Nelson Tysen Streib and Steven Heston Foreword by Joe Hachem Huntington Press Las Vegas, Nevada Contents Foreword.................................................................................. ix Author’s.Note.......................................................................... xi Introduction..............................................................................1 How.This.Book.Came.About...................................................5 Part One—Early-Stage Play . 1. New.School.Versus.Old.School.............................................9 . 2. Specific.Guidelines.for.Accumulating.Chips.......................53 Part Two—Endgame Strategy Introduction.........................................................................69 . 3. Basic.Endgame.Concepts....................................................71 . 4. Equilibrium.Plays................................................................89 . 5. Kill.Phil:.The.Next.Generation..........................................105 . 6. Prize.Pools.and.Equities....................................................115 . 7. Specific.Strategies.for.Different.Tournament.Types.........149 . 8. Short-Handed.and.Heads-Up.Play...................................179 . 9. Detailed.Analysis.of.a.Professional.SNG..........................205 Part Three—Other Topics .10. Adjustments.to.Recent.Changes.in.No-Limit Hold.’Em.Tournaments....................................................231 .11. Tournament.Luck..............................................................241 -
Online Poker Statistics Guide a Comprehensive Guide for Online Poker Players
Online Poker Statistics Guide A comprehensive guide for online poker players This guide was created by a winning poker player on behalf of Poker Copilot. Poker Copilot is a tool that automatically records your opponents' poker statistics, and shows them onscreen in a HUD (head-up display) while you play. Version 2. Updated April, 2017 Table of Contents Online Poker Statistics Guide 5 Chapter 1: VPIP and PFR 5 Chapter 2: Unopened Preflop Raise (UOPFR) 5 Chapter 3: Blind Stealing 5 Chapter 4: 3-betting and 4-betting 6 Chapter 5: Donk Bets 6 Chapter 6: Continuation Bets (cbets) 6 Chapter 7: Check-Raising 7 Chapter 8: Squeeze Bet 7 Chapter 9: Big Blinds Remaining 7 Chapter 10: Float Bets 7 Chapter 1: VPIP and PFR 8 What are VPIP and PFR and how do they affect your game? 8 VPIP: Voluntarily Put In Pot 8 PFR: Preflop Raise 8 The relationship between VPIP and PFR 8 Identifying player types using VPIP/PFR 9 VPIP and PFR for Six-Max vs. Full Ring 10 Chapter 2: Unopened Preflop Raise (UOPFR) 12 What is the Unopened Preflop Raise poker statistic? 12 What is a hand range? 12 What is a good UOPFR for beginners from each position? 12 How to use Equilab hand charts 13 What about the small and big blinds? 16 When can you widen your UOPFR range? 16 Flat calling using UOPFR 16 Flat calling with implied odds 18 Active players to your left reduce your implied odds 19 Chapter 3: Blind Stealing 20 What is a blind steal? 20 Why is the blind-stealing poker statistic important? 20 Choosing a bet size for a blind steal 20 How to respond to a blind steal -
Nr Man R Nere P Fyra Spelare S Har Sng:N Oftast Kommit Till Stll-In Eller Folda
SHORT HANDED Fundamental #1: Short-handed play is fast (high average hands per hour). This might seem self-explanatory, but its impact is so large that it might not be considered fully at first glance. There are several factors that make online short-handed Texas Hold'Em a very fast game. Online poker is well known to allow players to average twice to three times more hands per hour than its live B&M counterpart. Shuffling is instantaneous, players can act before their turn, dealers never have to split pots or call the floor, and poker software interfaces let players act more quickly than in a B&M cardroom. And these advantages of online poker are magnified at shorthanded games. Many hands end quickly through blind stealing or folds on the flop, so the instant shuffling has an increased impact. Of course, there are also fewer players who must make decisions. All these effects multiply, leading to averages of 150-200+ hands per hour in many cases. But what does this mean to you, the aspiring winner? Lots and lots of money, most importantly. Poker is a game of many small edges. The more good decisions a winner makes (+EV decisions), the more money they earn. Simple, eh? Well, short-handed games allow a winner to make more decisions per hour than in a 10-handed game for two main reasons. The most straightforward (but common to all forms of online poker) is simply what we discussed above. There are more hands played per hour. However, a lesser considered reason is the looseness of the typical short-handed player. -
Identifying Player's Strategies in No Limit Texas Hold'em Poker Through
EPIA'2011 ISBN: 978-989-95618-4-7 Identifying Player’s Strategies in No Limit Texas Hold’em Poker through the Analysis of Individual Moves Luís Filipe Teófilo and Luís Paulo Reis Departamento de Engenharia Informática, Faculdade de Engenharia da Universidade do Porto, Portugal Laboratório de Inteligência Artificial e de Ciência de Computadores, Universidade do Porto, Portugal [email protected], [email protected] Abstract. The development of competitive artificial Poker playing agents has proven to be a challenge, because agents must deal with unreliable information and deception which make it essential to model the opponents in order to achieve good results. This paper presents a methodology to develop opponent modeling techniques for Poker agents. The approach is based on applying clustering algorithms to a Poker game database in order to identify player types based on their actions. First, common game moves were identified by clustering all players’ moves. Then, player types were defined by calculating the frequency with which the players perform each type of movement. With the given dataset, 7 different types of players were identified with each one having at least one tactic that characterizes him. The identification of player types may improve the overall performance of Poker agents, because it helps the agents to predict the opponent’s moves, by associating each opponent to a distinct cluster. Keywords: Poker, Clustering, Opponent Modeling, Expectation-maximization 1 Introduction Poker is a game that is became a field of interest for the AI research community on the last decade. This game presents a radically different challenge when compared to other games like chess or checkers. -
Poker Math That Matters Simplifying the Secrets of No-Limit Hold’Em
Poker Math That Matters Simplifying the Secrets of No-Limit Hold’em _______________ By Owen Gaines Poker Math That Matters Copyright © 2010 by Owen Gaines Published by Owen Gaines All rights reserved. No part of this book may be reproduced or transmitted in any form or by any means without written permission from the author. To request to use any part of this book in any way, write to: [email protected] To order additional copies, visit www.qtippoker.com ISBN-13: 978-0-615-39745-0 ISBN-10: 0-615-39745-X Printed in the United States of America iv Table of Contents Acknowledgements .................................................................. viii About Owen Gaines .................................................................... x About this Book ........................................................................... 1 Introduction ................................................................................. 3 Why Math Matters ................................................................... 3 Quiz ..................................................................................... 6 Measurements .............................................................................. 9 Your Surroundings .................................................................. 9 Quiz ................................................................................... 14 Thinking About Bets in No-Limit Hold'em ........................... 15 Quiz ................................................................................... 17 Your -
Jonathan Little's Poker Cash Game Cheatsheet
Jonathan Little’s Poker Cash Game Cheat Sheet • Think about the action on every street of • If you have a bad memory, write the notes in a • Against players who play too many hands too every hand before you act. notebook. aggressively: • Do NOT play robotically. • Take notes on what each specific player does o Realize they often have marginal hands even when they apply pressure. • Don’t play the same generic style all the incorrectly. time. • Always put your opponent on a RANGE OF HANDS o Realize that if you induce them to bluff, do not fold decently strong holdings. • Adjust your strategy to exploit your specific rather than a specific hand. opponents. • Value bet when you think you have the best hand most o Be willing to bluff often because they will usually fold if you apply aggression. • Exploit your opponents’ tendencies. of the time AND you think your opponent will call with many weaker hands. o Bluff them on scary boards. • Raise with a different range based on the effective stack size. • Value bet relatively weak made hands on the turn • Against players who play too few hands too against loose players/calling stations who rarely fold passively: • When calling a raise, ensure you are any made hand or draw. getting at least 10:1 implied odds with o Relentlessly steal their blinds. • Do NOT value bet when you think you have the best small pocket pairs and 20:1 with suited o Fold to their aggression. connectors. hand most of the time and you think your opponent will fold most hands that you beat. -
Poker-Rule-Book.Pdf
POKER RULES OVERVIEW TABLE OF CONTENTS Proper Conduct 2 This rulebook was designed to cover the many General Rules 2-4 possible scenarios and circumstances that may come Poker Conduct 5 up in the Poker Room. A guest’s presence in the House Policies 6-7 Operating Procedures 8 Poker Room means that they agree to abide by our The Buy-in/All-in /Table Stakes 8-9 rules and procedures. By taking a seat in one of our Exposed Cards 9-10 games, they are accepting our management as the Boxed Cards 10 final authority on all matters relating to that game. Misdeals 10-11 Defective Deck 11 Uncalled Bet 11 Betting and Raising 11 Limit Raise Rules 12 Betting Line 12 Hand Protection 12-13 Action Out of Turn 13 Words and Gestures 13 Odd Chips 14 The Showdown 14 Seven Card Stud High 15-16 Use of Blinds 17 Hold’em Irregularities 17 Blind Placement 18-19 No Limit Hold’em 19 No Limit Raise Rules 20 Acting Out of Turn on a No-Limit Game 20 Kill Pots 21 Poker Hand Rankings 21-22 Glossary of Poker Terminology 22-25 1 PROPER CONDUCT 13. A Player who fails to take reasonable means to protect their hand shall have no redress if their hand becomes Each Player in a poker game shall play the game solely to fouled or the Dealer accidentally collects the hand. improve their chance of winning and shall take no action to improve another Player’s chance of winning. No one may 14.