Poker Player
Guide highlights

You accumulate chips fearlessly, control tables, and go deep in events regularly. You make disciplined laydowns, exploit opponents' mistakes, and reach big payouts.

  • Learn to accumulate chips early with small-ball/long-ball aggression and disguised raising ranges.
  • Track your CSI and shift through the normal, semi-aggressive, aggressive, move-in, and special stages accordingly.
  • Master equilibrium push/fold and calling solutions as unexploitable defaults.

Book guide

The Bicycle Guide to Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

One book, placed in its field — what Lee Nelson Tysen Streib Steven Heston's book gets right, where it goes further than the rest, and what the rest of the field adds.

Edited by Mike West

Choose a reading path or an exercise

Suggested sections

Choose a starting point below. Each link opens a section of this guide.

Do this now — Controlled Aggression

  1. Open or raise rather than limp or call whenever you enter a pot, so every hand can win by folding.
  2. Choose targets: attack players who fold to pressure, and slow down against stations who call.
  3. Play your value hands and bluffs through the same lines and sizes so your action tells nothing.
  4. Set a stop point before the hand starts: if a re-raise shows strength, know which holdings you will abandon.

Then continue in Controlled Aggression.

Edition 1·Updated 2026-10-03·25 min read

Sources

About this book

An overview of the book, with source information for further reading.

An advanced, math-and-experience-driven manual for winning no-limit hold 'em tournaments, Sit-n-Go's, satellites, and short-handed cash games by mastering aggression, stack management, and equilibrium play.

More on this book

Kill Everyone teams three-time final-table veteran Lee Nelson with mathematical analysts Tysen Streib and Steven Heston (plus commentary from Bertrand 'Elky' Grospellier and cash-game pro Mark Vos) to deliver a rigorous, situational blueprint for modern tournament poker. It shows how to accumulate chips early with loose-aggressive small-ball and long-ball tactics, then shifts into a mathematically grounded endgame framework built on relative stack size (CPR/CSI), fold equity, fear equity, equilibrium push/fold solutions, prize-pool equity via the Independent Chip Model, and the game-changing concept of the 'bubble factor.' It teaches when to deviate from equilibrium to exploit weaker opponents, how to neutralize superior players by putting them to all-in decisions, and how to read tells and prepare physically and mentally for grueling events. Whether you play $10 online SNGs or $10,000 live main events, the book marries poker math with real-world experience to make you a formidable, adaptable, unpredictable player.

Movement I

Orient

In this part

What this book claims, and who wrote it.

  • — The book's one-line promise
  • — The author and where the book stands

An advanced, math-and-experience-driven manual for winning no-limit hold 'em tournaments, Sit-n-Go's, satellites, and short-handed cash games by mastering aggression, stack management, and equilibrium play.

The need-to-know

Relative stack size (CSI) dictates your entire strategy; always know it for yourself and your opponents. Fold equity and fear equity are decisive assets—aggression that puts opponents to difficult, tournament-life decisions wins pots you don't 'deserve.' Equilibrium push/fold solutions are unexploitable defaults; deviate toward exploitation only with an accurate read on your opponent.

About this guide

The guide describes these challenges, steps and possible outcomes.

Who it is for

An ambitious poker player who wants to consistently win no-limit hold 'em tournaments, SNGs, satellites, and short-handed cash games rather than merely cash or survive.

Challenges

  • In practice · Modern opponents play ultra-aggressive, unpredictable poker, and standard tight play gets ground down and outmaneuvered, especially near the bubble and short-stacked.
  • For the reader · The player feels intimidated, fearful of busting, uncertain when to commit chips, and frustrated by bad beats and being bullied.

Steps to consider

  1. 1Learn to accumulate chips early with small-ball/long-ball aggression and disguised raising ranges.
  2. 2Track your CSI and shift through the normal, semi-aggressive, aggressive, move-in, and special stages accordingly.
  3. 3Master equilibrium push/fold and calling solutions as unexploitable defaults.
  4. 4Calculate and apply the bubble factor to adjust pot odds into tournament odds near the money.
  5. 5Deviate from equilibrium to exploit opponents who play too tight or too loose, using reads, tells, and betting patterns.
  6. 6Neutralize superior and hyper-aggressive players by keeping fold equity on your side and putting them to decisions for all their chips.
  7. 7Prepare physically and mentally—diet, exercise, sleep, and focus—to sustain peak performance.

Risks

You get blinded away, bullied, and eliminated before the money. You call off chips with the wrong tournament odds and double up your opponents.

Intended result

You accumulate chips fearlessly, control tables, and go deep in events regularly. You make disciplined laydowns, exploit opponents' mistakes, and reach big payouts.

Set the record straight

What this book sets straight

The common beliefs this book pushes back on.

The myth

As the big stack, you should call liberally to knock out players (e.g., the 10-to-1 rule).

The reality

Your job is to win chips, not eliminate players; your bubble factor is never below 1, so if you wouldn't call in a cash game you shouldn't call in a tournament.

The myth

If you're getting the right pot odds relative to your equity, you should call.

The reality

Near the money you must divide pot odds by the bubble factor to get tournament odds, because chips have nonlinear value and losing hurts more than winning helps.

The myth

All-in bets are the strongest bet and command the most respect.

The reality

All-in bets have become suspected as bluffs; a smaller-than-all-in 'suck bet' often gets more respect, so overbet with monsters and bet pot-sized when bluffing.

The myth

You should slow-play and extract maximum value from big pairs like aces.

The reality

Aces win a small pot or lose a big one; unless you can get it all in pre-flop, play a small pot and be willing to fold on dangerous boards.

The myth

Playing tight and surviving to the money is the goal near the bubble.

The reality

Bubble factors in large MTTs are smaller than most think; the bubble is the time to become hyper-aggressive and accumulate chips for a top prize.

Movement II

Map

The book's main ideas and how they connect.

In this part

Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos's own model — and how it sits inside its field.

  • — 12 constructs the book works with
  • — Where it agrees with the field, exceeds it, or fills a gap
The Conditions3· the context you inherit
Relative Stack Size (CSI)Bubble FactorOpponent Skill and Read Accuracy
What You Design4· the levers you pull
Equilibrium Play AdherenceStack and Position ManagementControlled AggressionBet Sizing Strategy
What It Produces2· the states it creates
Fold EquityFear Equity
What You Do1· the behaviours that follow
Induced Opponent Mistakes

The constructs

Controlled Aggression

The disciplined tendency to bet, raise, re-raise, and move in rather than call, applying pressure through both value hands and bluffs played identically to remain unpredictable while managing risk over a sequence of hands.

Bet Sizing Strategy

The deliberate selection of bet and raise amounts (small-ball probes, pot-sized bluffs, overbet monsters, stack-threatening raises) to disguise hand strength, manipulate pot size, deny odds, and put opponents to maximally difficult decisions.

Equilibrium Play Adherence

The degree to which a player follows mathematically optimal, unexploitable push/fold and calling strategies derived from game theory, which cannot be exploited when opponents also play optimally and remain profitable far from the money.

Stack and Position Management

Continuously adjusting hand selection and tactics based on relative stack size (CSI/CPR), position, and the Rule of 5 and 10, moving through normal, semi-aggressive, aggressive, move-in, and special stages to optimize implied odds and fold equity.

Relative Stack Size (CSI)

The size of a player's chip stack relative to the cost per round (blinds and antes), which determines available options, implied odds, and the appropriate strategic stage, ranging from deep-stack flexibility to short-stacked push-or-fold.

Bubble Factor

The ratio of the cost of losing an all-in to the gain from winning it, quantifying how prize-pool nonlinearity distorts pot odds into tournament odds; higher in satellites and big-stack clashes and near prize jumps.

Opponent Skill and Read Accuracy

The player's ability to assess opponents' skill levels, hand ranges, calling/pushing frequencies, tells, and betting patterns, enabling accurate decisions about when to exploit deviations from optimal play.

Fold Equity

The pot equity gained when an opponent folds a hand that could have won, converting negative or marginal equity into a positive return; a central mechanism by which aggression profits.

Fear Equity

The intimidation instilled in opponents by a player's demonstrated willingness to commit all chips at any time, causing them to avoid contested pots and fold more, granting the aggressor table control.

Induced Opponent Mistakes

Sub-optimal decisions by opponents (folding the best hand, calling with the worst, mis-sizing bets, playing too tight or too loose) that a skilled player provokes and capitalizes on for profit.

Chip Accumulation

The growth of a player's chip stack over the course of a tournament, the proximate resource that provides options, leverage, and survival toward a deep finish.

Prize Equity / Tournament Resultsthe outcome

The player's expected monetary value in the tournament and ultimate finishing results, determined by chip equity translated through the prize structure via ICM.

How they connect (16)
  • Controlled Aggression → predicts → Fold Equity
  • Controlled Aggression → predicts → Fear Equity
  • Bet Sizing Strategy → influences → Fold Equity
  • Fold Equity → predicts → Chip Accumulation
  • Fear Equity → influences → Chip Accumulation
  • Controlled Aggression → influences → Induced Opponent Mistakes
  • Induced Opponent Mistakes → predicts → Prize Equity / Tournament Results
  • Chip Accumulation → predicts → Prize Equity / Tournament Results
  • Stack and Position Management → influences → Fold Equity
  • Relative Stack Size (CSI) → moderates → Stack and Position Management
  • Bubble Factor → moderates → Equilibrium Play Adherence
  • Bubble Factor → influences → Prize Equity / Tournament Results
  • Opponent Skill and Read Accuracy → moderates → Equilibrium Play Adherence
  • Opponent Skill and Read Accuracy → predicts → Induced Opponent Mistakes
  • Equilibrium Play Adherence → predicts → Prize Equity / Tournament Results
  • Bet Sizing Strategy → influences → Induced Opponent Mistakes

Where this book diverges from the corpus

  • exceeds The field covers balanced, unexploitable play generally, but the book operationalizes it concretely as tournament push/fold and calling equilibria, a sharper and more specific method.
  • exceeds The field names adapting to stage, stack size, and position broadly, while the book gives a structured system (CSI/CPR, Rule of 5 and 10, named strategic zones) for doing so.
  • exceeds The field treats stack depth relative to pot as context, but the book quantifies stack against round cost (blinds and antes) and ties it directly to strategic stages.
  • exceeds The field mentions ICM and bubble factor only in passing within one combined construct, while the book defines it as a ratio and shows how it distorts pot odds into tournament odds.

Movement III

Master

Explore the book's ideas, examples and practical tools.

In this part

How the author makes the case — section by section, with the book's own tools.

  • — 12 sections, in the book's order
  • — The book's frameworks, checklists, and worked cases
Bubble Factor
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section shows how to price an all-in when finishing position matters more than chips. It turns the ratio of loss to gain into a call or fold threshold.

Bubble Factor

The ratio of the cost of losing an all-in to the gain from winning it, quantifying how prize-pool nonlinearity distorts pot odds into tournament odds; higher in satellites and big-stack clashes and near prize jumps.

Why it matters. Ignoring the factor makes you call off with hands that are profitable in chips but costly in prize equity, which is the commonest way to bust just before the money.

Myth

If your pot odds say a call is profitable, it is profitable.

Reality

Pot odds count chips, but losing a stack costs more prize equity than winning the same stack gains. With a factor above one you need more equity than the pot odds suggest, and big stacks facing other big stacks pay the highest premium.

Tools for this
The least you need to know
  • Required equity rises with the factor, so call tighter near pay jumps.
  • Covered stacks bear the greatest pressure; use that against them.
  • Satellites and bubbles are where the factor matters most.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Bubble Factor Check Sheet” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Opponent Skill and Read Accuracy
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section explains how to gauge who you are playing and what they hold. It shows how to turn observation into decisions.

Opponent Skill and Read Accuracy

The player's ability to assess opponents' skill levels, hand ranges, calling/pushing frequencies, tells, and betting patterns, enabling accurate decisions about when to exploit deviations from optimal play.

Why it matters. Accurate reads tell you where to leave equilibrium for profit, and inaccurate ones cost you more than if you had stayed with the baseline.

Myth

Reading opponents means spotting physical tells.

Reality

Most reliable reads come from frequencies and patterns: how often they open, fold to a shove and call off, and with what sizes. Physical tells support that data but rarely replace it, especially online.

Tools for this
The least you need to know
  • Frequencies beat tells as a source of dependable reads.
  • Think in ranges and update as evidence accumulates.
  • Read your opponents' skill first: it decides whether to exploit or stay balanced.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Opponent Read Sheet” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Fold Equity
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section shows how to count the value of an opponent folding. You learn when a marginal hand becomes a profitable shove.

Fold Equity

The pot equity gained when an opponent folds a hand that could have won, converting negative or marginal equity into a positive return; a central mechanism by which aggression profits.

Why it matters. Fold equity is why an aggressive hand can be profitable even when it would lose most showdowns, and ignoring it leaves you folding good spots.

Myth

Fold equity is a bonus you can ignore, since the hand has to be good enough to win without it.

Reality

For short and medium stacks, it is often the larger part of the all-in's value. A hand with poor showdown equity becomes profitable when the opponent folds often enough, and a strong hand loses value when the opponent never folds.

Tools for this
The least you need to know
  • Total value equals folds won plus equity when called, so count both.
  • Fold equity depends on the opponent, not on your hand.
  • Pot-committed players give you almost none.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 6 decision rules, 5 failure modes, and the “Fold Equity Check Sheet” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 8 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Fear Equity
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section covers the reputation you build by showing willingness to go all-in. It explains how to use that table image and how it fades.

Fear Equity

The intimidation instilled in opponents by a player's demonstrated willingness to commit all chips at any time, causing them to avoid contested pots and fold more, granting the aggressor table control.

Why it matters. A table that fears you folds marginal hands, gives up pots and lets you take chips without a fight, which makes every later steal cheaper.

Myth

Fear equity comes from showing down strong hands after big bets.

Reality

It comes from the opponents' uncertainty: they must believe a shove could be anything. Reveal too much and the fear shrinks, while a few well-timed all-ins against stacks that matter build it quickly.

Tools for this
  • Fear EquityFramework — How this mechanism is run, step by step, as the literature describes it.
  • Fear Equity — decision rulesChecklist — 5 checkpoints
  • Fear EquityCase study — Early in a major tournament, Lee Nelson moved all-in on a draw-heavy board with more than 5,000 already in the pot.
  • Fold EquityCase study — Early in a major tournament the author faces a board with a big pot of more than 5,000.
  • Fear Equity LedgerTemplate
The least you need to know
  • Fear equity is built on uncertainty, so keep your all-in range opaque.
  • It works best against cautious stacks and weakens against adjusting opponents.
  • Cash the image in with steals while it holds.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Fear Equity Ledger” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 5 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Induced Opponent Mistakes
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section details the errors opponents make and how to provoke them. It shows how you profit from those errors rather than waiting for luck.

Induced Opponent Mistakes

Sub-optimal decisions by opponents (folding the best hand, calling with the worst, mis-sizing bets, playing too tight or too loose) that a skilled player provokes and capitalizes on for profit.

Why it matters. Your edge in tournaments comes mostly from opponents' mistakes, so failing to induce them leaves you relying on variance.

Myth

Opponents' mistakes show up on their own, so your job is to wait for them.

Reality

You create most of them through the pressure and prices you choose: a large bet makes a medium hand fold, and a short stack facing a re-raise makes bad calls. Good players engineer situations where the wrong decision is the natural one.

Tools for this
The least you need to know
  • Provoke errors by matching your line to each opponent's tendency.
  • Bluff those who fold, value-bet those who call.
  • Mistakes you induce are your main source of profit over time.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Opponent Error Exploit Sheet” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Chip Accumulation
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section shows how to build a stack that gives you options and a path to the final table. It treats chips as a tool rather than a score.

Chip Accumulation

The growth of a player's chip stack over the course of a tournament, the proximate resource that provides options, leverage, and survival toward a deep finish.

Why it matters. More chips mean more options and more pressure on others, but they carry diminishing value toward prize equity, so you must know what the chips are for.

Myth

Doubling your stack doubles your chance of winning the prize.

Reality

Chips translate into prize equity at a decreasing rate because of ICM, and losing chips costs more than winning the same amount gains. Building a stack matters mostly when it gives you leverage over others.

Tools for this
  • Chip AccumulationCase study — The source describes a hand in which the author had about 19,000 chips left after investing a large amount.
The least you need to know
  • Chips matter for what they let you do, since their value in prizes diminishes.
  • Take chips from stacks you cover, and avoid fights with those who cover you.
  • A large stack at the bubble is a weapon, so build it before then.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Early-Stage Chip Accumulation Hand Review” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 1 tool for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Prize Equity / Tournament Results
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section explains how your chips convert to money through the payout structure. It shows how to judge decisions by dollar value rather than chips.

Prize Equity / Tournament Results

The player's expected monetary value in the tournament and ultimate finishing results, determined by chip equity translated through the prize structure via ICM.

Why it matters. Decisions made on chip counts alone can maximize chips while reducing expected payout, which is the reverse of what you entered the tournament to do.

Myth

The best strategy always maximizes your chip stack.

Reality

The payouts are nonlinear, so the decision that maximizes chips can reduce expected money, particularly near pay jumps. Chip count is a proxy, and ICM tells you when that proxy breaks down.

Tools for this
The least you need to know
  • Evaluate decisions in dollars; chips are a stand-in that fails near pay jumps.
  • Top-heavy payouts reward chip accumulation; flat ones reward survival.
  • A single outcome tells you little about decision quality.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Prize-Equity Decision Check” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Controlled Aggression
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section shows how to make betting and raising your default action while keeping the risk bounded. You get a rule for when to apply pressure and when to stop.

Controlled Aggression

The disciplined tendency to bet, raise, re-raise, and move in rather than call, applying pressure through both value hands and bluffs played identically to remain unpredictable while managing risk over a sequence of hands.

Why it matters. Aggression is what creates both of your ways to win a pot, folds and showdowns. A passive player gives up one of them, and a reckless one gives chips to anyone who calls.

Myth

Being aggressive means firing at every pot and shoving as often as possible.

Reality

Control is the half that earns money: you pick spots where opponents' ranges are weak or capped, and you bet your bluffs and value hands the same way so no pattern leaks. Frequency without selection only turns your stack into a donation to the next caller.

Tools for this
The least you need to know
  • Default to raising over calling, because calling can only win at showdown.
  • Aggression pays only when aimed at opponents who fold; against callers, narrow your bluffs and widen your value.
  • Identical play with value and bluffs is what keeps aggression profitable over many hands.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Pressure Check Before Every Bet or Raise” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 2 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Bet Sizing Strategy
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section covers how to choose the amount you bet, from small probes to stack-threatening raises. Size is the tool that sets the price your opponent pays and the question you ask them.

Bet Sizing Strategy

The deliberate selection of bet and raise amounts (small-ball probes, pot-sized bluffs, overbet monsters, stack-threatening raises) to disguise hand strength, manipulate pot size, deny odds, and put opponents to maximally difficult decisions.

Why it matters. A wrong size either gives opponents correct odds to chase or risks too much to win a pot that was already yours.

Myth

A big bet means a strong hand and a small bet means a weak one, so sizing should reflect what you hold.

Reality

Sizing is chosen to shape the opponent's decision, not to report your hand. Use one size for strong and weak hands in the same spot, and vary it by stack depth, board and the fold frequency you need.

Tools for this
  • Bet Sizing StrategyFramework — How this mechanism is run, step by step, as the literature describes it.
The least you need to know
  • Choose the size from the fold frequency it needs, not from your hand strength.
  • Consistent sizing across value and bluffs is what conceals your holdings.
  • Larger bets deny odds to draws; smaller ones control pot size and cost less when wrong.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 6 decision rules, 6 failure modes, and the “Stack-Commitment Sizing Worksheet” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 1 tool for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Equilibrium Play Adherence
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section explains how to use game-theory push/fold and calling ranges as a baseline you can fall back on. It also shows when to leave that baseline.

Equilibrium Play Adherence

The degree to which a player follows mathematically optimal, unexploitable push/fold and calling strategies derived from game theory, which cannot be exploited when opponents also play optimally and remain profitable far from the money.

Why it matters. Without a baseline you cannot tell whether a deviation is an exploit or a leak, so you bleed chips without knowing why.

Myth

Equilibrium play is a rigid chart you must follow no matter who sits across the table.

Reality

Equilibrium ranges guarantee you cannot be exploited, but they also leave profit on the table against opponents who are visibly off-balance. Treat the chart as the default and a measured starting point for exploitation.

Tools for this
The least you need to know
  • Equilibrium ranges are your floor: they keep you profitable when you cannot read the table.
  • Deviate only with evidence, and only as far as the evidence justifies.
  • Chip-EV charts must be adjusted for ICM near pay jumps.
Master this◆ members

The deep drill-down: 7 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Equilibrium Adherence Log” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Stack and Position Management
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section describes how to shift your hand selection and tactics as your stack, position and the blinds change. It gives you a map from stage to behavior.

Stack and Position Management

Continuously adjusting hand selection and tactics based on relative stack size (CSI/CPR), position, and the Rule of 5 and 10, moving through normal, semi-aggressive, aggressive, move-in, and special stages to optimize implied odds and fold equity.

Why it matters. Playing the same way at every depth and seat wastes your implied odds when deep and your fold equity when short.

Myth

Position matters in the later betting rounds, but at short stacks it hardly affects what you should play.

Reality

Position decides how many players remain to act and how often your all-in will be called, so it matters most at short stacks where you only have one move. Late position lets you widen your pushing range dramatically; early position forces you to tighten it.

The least you need to know
  • Identify your stage first, then choose hands; the order matters.
  • Position scales your fold equity, so the same hand has different values in different seats.
  • Recalculate your stage whenever blinds or stack change.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Per-Orbit Stack and Position Check” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 3 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Relative Stack Size (CSI)
strong · 1 source
  • Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos
In this section

This section teaches you to measure your stack in terms of what it costs to sit at the table. That number tells you which strategic options are still open to you.

Relative Stack Size (CSI)

The size of a player's chip stack relative to the cost per round (blinds and antes), which determines available options, implied odds, and the appropriate strategic stage, ranging from deep-stack flexibility to short-stacked push-or-fold.

Why it matters. A raw chip count is meaningless, and misjudging your real depth leads you to play speculative hands you cannot afford or to shove when you still had room to maneuver.

Myth

A stack that is above average is a safe stack.

Reality

Safety depends on the stack relative to the cost per round, not to the field average. A stack above average can still be only a few rounds deep once antes arrive, and the average itself may be just as pressed.

Tools for this
The least you need to know
  • Measure depth as rounds of survival, not chips.
  • Antes change your effective depth sharply.
  • Your stack relative to the players behind you decides who can pressure whom.
Master this◆ members

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Stack-Depth Stage Check” tool. Join a membership to open this section.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 8 tools for this section. Included in your membership.

Grounded in: Kill Everyone Advanced Strategies for No-Limit Hold Em Poker Tournaments and Sit-n-Gos

Movement III · The run-it-now depth

The Playbook

Practical tools and examples from this guide.

Frameworks

Frameworkfree

Bet Sizing Strategy

How this mechanism is run, step by step, as the literature describes it.

  1. 1Start with the stack, not the pot. Before you bet or raise, write down the effective stack and ask what percentage of it your amount commits. The source's threshold is 40% or more of the opponent's stack: a call at that size makes the opponent think about being pot-committed.
  2. 2Pick a target who can be pressured. Isolate one opponent you cover in chips, ideally one with a stack that makes the all-in decision painful (final-table pay jumps are the example). The source's Fricke sat on Hansen's left, covered him, and kept re-raising to amounts that would pot-commit Gus.
  3. 3Size the raise so the remaining stack is small and the pot odds look cheap but the decision is final. In the source example, a re-raise to 250,000 against a 600,000 stack leaves him 350,000 and about 550,000 in the pot. Calling then means all the chips go in, either pre-flop or on the flop. Raising only 150,000-180,000 commits about 30% and lets him call comfortably.
  4. 4Choose the bet-size theory deliberately. Small-ball uses small value bets and small bluffs so the size reveals nothing. The other theory uses big (often all-in) bets with both the nuts and bluffs. Pick one per spot and use it for both your value hands and your bluffs, so the size gives no clue.
  5. 5Check whether all-ins are respected at your table. The source notes that all-ins are now often suspected as bluffs, and pros often give smaller-than-all-in bets more respect, reading them as 'suck bets'. If opponents are calling shoves with marginal hands, size down. If they fold to pressure, size up.
  6. 6Size against draws deliberately. A raise that is too small gives a drawing hand good odds and leaves a stack big enough to have fold equity on the turn. A raise that is too big takes away his chance to bluff and gets a fold. Choose the size for the result you want: a fold, or a call from a hand you beat.
  7. 7Balance the sizing line with bluffs. Using one size for monsters and bluffs only works if opponents can't tell which you have. Check the board for scare cards or two-ended draws that make both stories plausible.
  8. 8Re-check the table before firing. Another player can wake up with a monster and re-raise your move. Your raise has already given you the pot odds to call, so you may be forced to call. Use position and track every stack before sizing.
Framework◆ members

Bubble Factor

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Framework◆ members

Chip Accumulation

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Framework◆ members

Controlled Aggression

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Framework◆ members

Equilibrium Play Adherence

How this mechanism is run, step by step, as the literature describes it.

◆ The full 7-step framework — included with membership

Framework◆ members

Fear Equity

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Framework◆ members

Fold Equity

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Framework◆ members

Induced Opponent Mistakes

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Framework◆ members

Opponent Skill and Read Accuracy

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Framework◆ members

Prize Equity / Tournament Results

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Framework◆ members

Relative Stack Size (CSI)

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Framework◆ members

Stack and Position Management

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with membership

Checklists

Checklistfree

Bet Sizing Strategy — decision rules

  • If a raise would commit 40% or more of the opponent's stack, then expect him to treat a call as pot-commitment. Use it against ranges that are mostly stealing hands or medium-strength hands.
  • If you raise only 25-30% of his stack, then expect a wider calling range. Don't use that size when you want folds.
  • If you raise too small on a drawing flop, then you give the draw good odds and a stack to bluff with on the turn. Raise enough that the draw can't profitably call or bluff you later.
  • If you raise so big that the opponent has no fold equity or bluffing room, then expect him to fold his draw. If you want the call, size lower so he can still call and shove.
  • If opponents are calling all-ins loosely, then stop expecting folds from shoves. Size down, and use bigger sizes for value. If they respect only all-ins, shove for fold equity.
  • If another player behind could have a monster, then don't make the move. A re-raise would force you to call with the odds you created.
Checklist◆ members

Bubble Factor — decision rules

◆ All 5 checkpoints — included with membership

Checklist◆ members

Chip Accumulation — decision rules

◆ All 5 checkpoints — included with membership

Checklist◆ members

Controlled Aggression — decision rules

◆ All 5 checkpoints — included with membership

Checklist◆ members

Equilibrium Play Adherence — decision rules

◆ All 5 checkpoints — included with membership

Checklist◆ members

Fear Equity — decision rules

◆ All 5 checkpoints — included with membership

Checklist◆ members

Fold Equity — decision rules

◆ All 6 checkpoints — included with membership

Checklist◆ members

Induced Opponent Mistakes — decision rules

◆ All 5 checkpoints — included with membership

Checklist◆ members

Opponent Skill and Read Accuracy — decision rules

◆ All 5 checkpoints — included with membership

Checklist◆ members

Prize Equity / Tournament Results — decision rules

◆ All 5 checkpoints — included with membership

Checklist◆ members

Relative Stack Size (CSI) — decision rules

◆ All 5 checkpoints — included with membership

Checklist◆ members

Stack and Position Management — decision rules

◆ All 5 checkpoints — included with membership

Case studies — including what didn't work

Case studyfree

Bet Sizing Strategy

Context

The source gives the blinds/antes as 10,000/20,000/2,000. You hold KQo on the button with 1.8 million. A cutoff opponent with 600,000 raises to 60,000, a range that includes A2s-ATs, 22-88 and A8o-AJo, hands he does not want to play for all his chips. A normal re-raise to 150,000-180,000 commits only about 30% of his stack, so he can call reasonably. You raise to 250,000 instead. If he calls, the pot will be about 550,000 and he will have only 350,000 left. Calling is then a move-in-or-fold decision, since all the chips go in pre-flop or on the flop. Most players will fold everything but TT+, AK and AQs. If he folds, he keeps about 90% of his original stack, but he has given up the pot. The pressure comes from the size, not from your KQ.

Case study◆ members

Bubble Factor

Context

Take the source's 6-handed table: you have 400,000 and each of five opponents has about 200,000. Losing 80,000 in a hand (20% of your stack) leaves you 320,000 and one opponent 280,000. The source says this has almost no effect on table dynamics, because you still lead and can still eliminate any opponent in one big hand. Your chips are cheap to lose, so your BF against these opponents stays close to 1 and you can gamble. Now reverse the roles: an opponent with 200,000 who risks his whole stack against you loses everything, and his elimination only partly helps his EV. His loss in prize EV far exceeds his gain, so his BF is high and he needs a much stronger hand to call you. That asymmetry is the case for pressure from the chip lead. Compare Tysen's own spot: blinds 400/800, 100 ante, 1,000 chips (CSI 0.45), already posting 100 ante and 800 big blind, so he put his last 100 in without looking. With so little left to lose, bust costs almost nothing extra, so nearly any hand is a call. The source gives no numeric BF for these spots. Compute it yourself from ICM using the three-EV method above.

◆ What happened, and the outcome — included with membership

Case study◆ members

Chip Accumulation

Context

The source describes a hand in which the author had about 19,000 chips left after investing a large amount. An opponent held two pair, faced possible elimination, and reluctantly folded. The final player to act held the nut flush draw (the ace and a small heart). He probably read the author as holding a made hand, most likely a set, against which he would be about a 2-to-1 underdog, so he folded too. The author's stack rose 25%, which he calls 'a big step toward the pivotal early accumulation of chips.' The extra gains were fold equity and fear equity: other players now know their chips can be threatened even early in a tournament. The author adds that he would have played the hand the same way with a set of queens. That consistency is why the opponents' read, 'probably a set,' was credible and why the fold came.

◆ What happened, and the outcome — included with membership

Case study◆ members

Controlled Aggression

Context

2006 WSOP $2,000 NLHE, heads-up: Mark Vos against Nam Le, with Vos in the lead. Vos raises to 90,000 from the button and Le calls with 66. On the Q-8-3 flop Le checks, Vos bets 150,000, and Le calls. On the 2 turn Le checks again, Vos bets 250,000, and Le calls. The river is the Q, Le checks, and Vos moves in. Le thinks for quite a while and calls; Vos shows Q-T for trip queens. Vos bet every street, with the bets escalating from 150,000 to 250,000 to an all-in. That is the same line a bluff would take, which is why Le could not fold his way out. The source adds that all-ins are now often suspected of being bluffs, so the strongest bet can be called more than a smaller one. The lesson is that a value shove built from a bluff-shaped sequence gets paid, so you keep the pressure consistent rather than shrinking the final bet to look strong.

◆ What happened, and the outcome — included with membership

Case study◆ members

Equilibrium Play Adherence

Context

The source's all-in balance example shows what an equilibrium looks like in numbers. The pot is $100 and you hit your draw with probability p = 10%. With a small $10 bet that always gets called, you win $110 and your EV is $11 on a $10 equity. With a pot-sized bet you get even money on a steal, so he must call half the time. He gets 2-to-1 on calls, so you bluff p/2 = 5% of the time. You break even on bluffs, he breaks even on calls, and your good hands average $150. Now go all-in with an effective stack of S = 900. He must call 100/(100+S) = 10% of the time. You win the $100 pot uncontested 90% of the time and $1,000 the other 10%, so EV = 100*90% + 1000*10% = $190. You bluff just often enough that his calls are break-even, so he cannot exploit you by always folding or always calling. The same discipline applies to push/fold. You pick frequencies that leave the opponent indifferent, and any deviation costs the one who deviates.

◆ What happened, and the outcome — included with membership

Case study◆ members

Fear Equity

Context

Early in a major tournament, Lee Nelson moved all-in on a draw-heavy board with more than 5,000 already in the pot. Any caller would add another 19,000, so he risked just under 20,000 to win 24,000, about 1.2-to-1, and he had cleared the better flush draws from the likely holdings. The table folded one by one. Jason held AA without the ace of hearts and folded fast, fearing a set or a huge draw with three players still to act. Mark Vos folded pocket tens quickly. The next player had 54 for two small pair and went into the tank for 6 minutes, then folded with only 1,225 invested and nearly 19,000 behind. The last player had the nut flush draw and folded, assuming a set. Nelson says he would have played a set of queens the same way, which is why the 54 player's fear was warranted. The result was a 25% stack increase, plus fold equity and fear equity: every opponent now knew his chips were at risk early, even with the pot small relative to stacks.

◆ What happened, and the outcome — included with membership

Case study◆ members

Fold Equity

Context

Early in a major tournament the author faces a board with a big pot of more than 5,000. He is considering an all-in and has eliminated better flush draws and judged a set unlikely from the betting. Any caller adds another 19,000, so he risks just under 20,000 to win 24,000, which is 1.2-to-1. Against an over-pair or two pair he is a favorite. Against an unsuspected set he is a 1.5-to-1 underdog, so he is slightly underpriced there. He accepts that because players with about 5% of their chips committed may even fold bottom set. The results: Jason held AA without the ace of hearts and quickly folded, since he figured he was beaten by a set or a huge draw with three players left to act. Mark Vos folded pocket tens. The next player took 6 minutes, called time on himself, and folded two small pair with 1,225 invested and nearly 19,000 behind. The last player had the nut flush draw, read the author for a set, and folded. Nobody called, the author's stack rose 25%, and he also gained fold equity and fear equity against the table. He says he would have played a set of queens the same way.

◆ What happened, and the outcome — included with membership

Case study◆ members

Induced Opponent Mistakes

Context

April 2007 Bellagio $3,120 NLHE, blinds 50/100, 6,000 starting chips. Alan Goehring leads with 26,000+; Alan Cunningham has about 13,000. Goehring, who has been taking many flops even against raises, limps UTG with 6-4. Cunningham, holding A-K, makes it 400, and Goehring calls out of position. The flop is 5-3-2, giving Goehring the nuts and Cunningham a nut flush draw with two overcards and a gutshot. Goehring check-raises Cunningham's ~700 bet to ~1,600, and Cunningham calls. The turn is a 4. Goehring bets ~1,600 more, taunting a raise, and Cunningham does not bite even though he now has a wheel. On the river (J) Goehring bets ~6,000 and Cunningham, after deliberation, calls. The hand costs Cunningham 9,600, leaving him 3,400, and takes Goehring to 35,000+, nearly six times his starting stack at the second level. The induced error was a loose, wide-range image combined with sizing that let a strong but second-best hand pay off. The same sources show the opposite error: a player called 50,000 chips with queens against Jim McManus's aces, thinking they might be good.

◆ What happened, and the outcome — included with membership

Case study◆ members

Opponent Skill and Read Accuracy

Context

April 2007, Bellagio, $3,120 NLHE, 50/100 blinds, 6,000 starting chips. Alan Goehring (about 26,000) limps UTG with 6-4. Alan Cunningham (about 13,000) holds A-K three seats to his left and makes it 400. Goehring calls out of position. The flop is 5-3-2, giving Goehring the nuts and Cunningham the nut flush draw, two overcards, and a gutshot. Goehring check-raises Cunningham's 700 bet to about 1,600 and then bets about another 1,600 on the turn (a 4), taunting a raise. Cunningham has a wheel by then but doesn't raise. On the river (J) Goehring bets about 6,000 and Cunningham calls after deliberation. The hand cost him 9,600 and left him with 3,400. The read failure is that Cunningham treated a conventional range as the baseline. Goehring was known for taking many flops, even against raises, so the check-raise and turn bet could not be confined to overpairs or sets. Against that opponent the range includes any hand that fits 5-3-2, including 6-4 and 4-x holdings. A more accurate read would have priced the nuts into the range and put more weight on the aggressive line than on Cunningham's own hand strength.

◆ What happened, and the outcome — included with membership

Case study◆ members

Prize Equity / Tournament Results

Context

Early in a major tournament, Lee Nelson moves all-in on a flop with a flush draw plus other outs. The pot already holds more than 5,000, and any caller adds another 19,000. He risks just under 20,000 to win 24,000 if called, which is about 1.2-to-1. Against an over-pair or two pair he is a favorite. Against an unsuspected set he is a roughly 1.5-to-1 underdog, so he accepts a small underlay there. The deciding factor is fold equity: players might fold even bottom set this early, when they have committed only about 5% of their chips. Jason folds aces without the ace of hearts. Mark Vos folds pocket tens. A third player folds 54 (two small pair) after 6 minutes in the tank, with only 1,225 invested and nearly 19,000 behind. The last player, holding the nut flush draw, folds as well. Nelson's stack rises 25%, which the book calls a big step in pivotal early accumulation. He also gains 'fold equity' and 'fear equity' against players who now know their chips can be threatened. The prize-equity reading is that, early on, chips convert to expected prize money at close to face value, so a gain like this is close to a straight prize-equity gain. Late in the tournament the same chip gain would need to be run through the payout structure.

◆ What happened, and the outcome — included with membership

Case study◆ members

Relative Stack Size (CSI)

Context

The source's early-level hand shows what deep stacks allow. Blinds are 25/50. You raise AK to 200 from early position and Patrik Antonius calls on the button. The flop is A-3-4 and you bet 400 into 475. He calls. On the 2 turn you bet 1,000 and he thinks for about a minute and raises 1,500. The stacks are deep and the pot is small relative to them, so a call likely leads to a decision for most or all of your remaining chips on the river. Antonius's possible holdings include 33, 44, A3, 45 and A6, all of which beat or compete with top pair, and that is the cost of playing deep against a player who plays almost any two cards. The same depth that lets him call 200 with weak hands lets you avoid that minefield. Reduce your stack to about 10 rounds and the picture flips: you stop playing post-flop and push or fold pre-flop. The only variable that changed is stack relative to the round cost.

◆ What happened, and the outcome — included with membership

Case study◆ members

Stack and Position Management

Context

April 2007, Bellagio, $3,120 buy-in, 6,000 starting chips, blinds 50/100 (second level). Alan Goehring is chip leader with 26,000+ and Alan Cunningham is second at the table with about 13,000. Goehring has been taking many flops, even against raises. He limps UTG with 6-4, Cunningham raises to 400 with A-K, and Goehring calls out of position. The flop is 5-3-2, giving Goehring the nuts and Cunningham a nut flush draw with overcards and a gutshot. Goehring check-raises to about 1,600 after Cunningham bets about 700, then bets about 1,600 more on the 4 turn, taunting a raise. On the J river Goehring bets about 6,000 and Cunningham calls. The hand cost Cunningham 9,600 and left him 3,400, while Goehring went past 35,000, nearly six times his starting stack. The lesson is that the deep stacks made a small pre-flop call cheap relative to the pot it could win. A top-5% hand range would never have entered, and the pre-flop equity edge for A-K was irrelevant once the flop connected.

◆ What happened, and the outcome — included with membership

Templates

Templatefree

Stack-Commitment Sizing Worksheet

Template◆ members

Bubble Factor Check Sheet

◆ The fillable template — included with membership

Template◆ members

Early-Stage Chip Accumulation Hand Review

◆ The fillable template — included with membership

Template◆ members

Pressure Check Before Every Bet or Raise

◆ The fillable template — included with membership

Template◆ members

Equilibrium Adherence Log

◆ The fillable template — included with membership

Template◆ members

Fear Equity Ledger

◆ The fillable template — included with membership

Template◆ members

Fold Equity Check Sheet

◆ The fillable template — included with membership

Template◆ members

Opponent Error Exploit Sheet

◆ The fillable template — included with membership

Template◆ members

Opponent Read Sheet

◆ The fillable template — included with membership

Template◆ members

Prize-Equity Decision Check

◆ The fillable template — included with membership

Template◆ members

Stack-Depth Stage Check

◆ The fillable template — included with membership

Template◆ members

Per-Orbit Stack and Position Check

◆ The fillable template — included with membership

Items labeled "members" are included with membership.

Movement IV

Reflect

Consider the book's evidence, limitations and how it compares with other sources.

In this part

How good is it — where the book stands against the field, what it leaves open, and when to trust it.

  • — Its positioning, its critique, its blind spots
  • — When to apply it — and when not
  • — The evidence behind the advice

Book guide · in the corpus

This book’s model, against the corpus

12 of 12 constructs align with the field · 0 the book adds · 4 where it diverges · the field spans 37 constructs across 22 books

shared with the corpusthe corpus adds (other sources)where it diverges

Shared with the corpus — corroborated by other sources

Controlled AggressionBet Sizing StrategyEquilibrium Play AdherenceStack and Position ManagementRelative Stack Size (CSI)Bubble FactorOpponent Skill and Read AccuracyFold EquityFear EquityInduced Opponent MistakesChip AccumulationPrize Equity / Tournament Results

Where it diverges — the book and the field pull apart

Equilibrium Play AdherenceStack and Position ManagementRelative Stack Size (CSI)Bubble Factor

The corpus adds — from 21 other sources this book doesn't cover

The full field guide folds in ideas this book doesn’t reach — drawn from 21 further sources and cited in the full model.

This book’s place in the corpus

1 of 22
sources in this corpus
12
constructs contributed
12
corroborated by others

Why the corpus guide, not just this book

The book stands on the shoulders of aggression, fold-equity, and game-theory (GTO) poker thinking, and is the authority on tournament-specific tools: push/fold equilibria, CSI-based stack stages, and bubble factor. The reconciled field-guide still adds the cash-game and psychological context the book omits, including tells, tilt control, bankroll, table selection, and deliberate practice.

This guide stands on the shoulders of this book and 21 other sources — every claim cited, the disagreements named.

Read the reconciled Poker guide →

Read it closely

The book, examined

Not a summary — a close analytical reading: how the book is built, what it leaves open, and where it falls short.

How it’s built — the argument in order

  1. 01
    Front matter: Foreword (Joe Hachem), Acknowledgments, and Elky/Mark Vos commentary framing — Establishes credibility by pairing Nelson's final-table record with the mathematical analysis of Streib and Heston. Introduces the Elky commentary (and cash-game input from Vos) as a second voice after each concept. Argues that unpredictability and being an 'eternal student' matter more than secrecy.
  2. 02
    Introduction: what has changed since Kill Phil — Describes the new landscape of young, aggressive, online-honed players, and says short-handed skill is now essential. Extends Kill Phil's move-in-or-fold model with chip-building tactics. Maps the scope: low-blind accumulation, approaching the bubble, bubble play, final tables, short-handed and heads-up play, MTTs, SNGs, winner-take-all events, satellites, and short-handed cash games. States the method of marrying poker math to real-time experience, with concepts checked for accuracy and robustness by Heston and Streib.
  3. 03
    Early-stage chip accumulation (deep stacks, low blinds) — Argues that deep stacks are where better players have the biggest edge. Offers two routes. The first is a loose-aggressive style: limping speculative hands, seeing many cheap flops, and hoping to win large pots with small investments. The second is a deliberately tight image (roughly 55+, AQs+, AK, with big pairs played aggressively) that is cashed in later through steals. Ties the choice to the player's post-flop skill.
  4. 04
    Mid-tournament adjustments: small-ball vs. long-ball and shrinking stacks — Teaches how strategy shifts as stacks fall relative to the blinds. Introduces relative stack size (CPR/CSI) as the organizing variable, applied to your own stack and your opponents'. Adds fold equity and fear equity as the payoffs of aggression that puts opponents to decisions for their tournament lives. (Inferred from the book summary; the excerpts do not include this section.)
  5. 05
    Short-stack and equilibrium push/fold theory — Presents equilibrium push/fold solutions as an unexploitable baseline. Argues that most players, even pros, push and call too tightly, so the exploit is to push more and call less. Says to deviate from equilibrium only when you have an accurate read. (From the summary.)
  6. 06
    Prize-pool math: ICM and the bubble factor — Uses the Independent Chip Model to show how nonlinear payouts distort ordinary pot-odds decisions. Quantifies the distortion with the bubble factor. Concludes that big stacks should attack medium stacks rather than small stacks. (From the summary.)
  7. 07
    Format-specific play: bubble, final table, short-handed, heads-up, SNGs, satellites, winner-take-all, cash games — Applies the same concepts to each structure and its payout shape, including multi-tabling short-handed cash games. (From the introduction's scope list.)
  8. 08
    Opponent-based adaptation, tells, and personal preparation — Covers how to neutralize superior players by forcing all-in decisions, counter hyper-aggressive opponents, and exploit those who deviate from optimal play. Also covers reading tells and preparing physically and mentally for long events. Ends on adaptability and unpredictability, including mixed bet sizes and hand ranges, as the lasting edge. (From the summary and Elky's framing.)

What it leaves unsolved

How does a player know when a read on an opponent is accurate enough to justify abandoning equilibrium play?

The book makes deviation depend on an 'accurate read' and says tells and reads decide when to exploit. The excerpts give no calibration for how much evidence is enough, or how to limit the cost of being wrong.

How can less experienced players develop the post-flop and reading skills that speculative loose play requires?

Nelson admits that playing speculative hands optimally 'requires great reading and post-flop skills.' He only says to start tighter and widen gradually, without a concrete progression.

How much unpredictability is optimal, and how does it trade off against the profit of consistently playing the best line?

Unpredictability is called a key aspect of advanced play. The excerpts do not say how to randomize without giving up expected value.

How do these strategies hold up as the field gets tougher and more young players copy aggressive styles?

The introduction notes that tough, aggressive players have spread worldwide and that some are 'short in the control department.' It does not say what happens to the exploits once opponents adapt to them.

How should strategy change across different prize structures and field sizes not specifically modeled?

The ICM and bubble-factor framework is described for particular formats. The excerpts do not address how reliable these models are where payouts, stack depths, or skill gaps differ from the examples.

Where it falls short — a fair critique

incomplete

The early-game advice rests on a questionable premise: that opponents will not suspect a hand like 7-5-3 flopped a straight. It gives no way to handle observant opponents. It also doesn't quantify the implied-odds or cost trade-off of limping hands like Q5 on the button.

incomplete

The two early-game styles, loose-aggressive and squeaky-tight, are offered as alternatives, with the choice left to the reader's comfort and skill. The book gives little decision framework for choosing between them given the table, structure, or the player's measured post-flop edge.

uninformed

The claim that most players, even pros, push and call too tightly in short-stack spots is a central exploit. It is asserted from experience and the authors' analysis, but the excerpts give no data. It may also be time-bound, since players who read such books would shift their behavior.

misinformed

Treating the Independent Chip Model as the basis for prize-equity and bubble-factor decisions assumes chips convert to equity in proportion to stack size. That ignores skill differences, position, and how stacks change in later hands. This is a known weakness of ICM that the book appears to present only as a strength, not as a limitation to adjust for.

incomplete

Much of the evidence is anecdotal or personal (Nelson's reads and results, Elky's commentary). That makes it hard to separate what is mathematically established from what is stylistic opinion. Commentary from top pros also risks survivorship bias.

illogical

The book recommends equilibrium play as the unexploitable default and also urges exploitative deviation and unpredictability. Without a stated rule for when each applies, deviating from the equilibrium weakens the safety that justified the default, and the guidance can become circular.

incomplete

The scope is limited to no-limit hold 'em and to the 2009 online-poker landscape (e.g., US restrictions, Sunday Millions fields). Some of the structural and population assumptions may no longer hold, and the book does not acknowledge how quickly they change.

Before you apply it

Using it well

Where the method fits, who it’s for, and the honest case for and against — so you apply it where it works.

Is this book for you?

For you if

  • You already know basic no-limit hold 'em tournament strategy and want advanced refinements.
  • You play MTTs, SNGs, satellites, or short-handed cash games, online or live.
  • You are comfortable with some poker math (fold equity, pot odds, ICM-style reasoning).
  • You want a framework for adapting by stack size, from deep early stages through bubble, final table, and heads-up play.
  • You want to know how to beat stronger players or counter hyper-aggressive opponents.

Skip it if

  • You are a complete beginner who has not yet learned hand rankings, position, and basic preflop ranges.
  • You play only limit, pot-limit Omaha, or other non-NLHE games.
  • You want a purely intuitive, math-free treatment of poker.
  • You play only cash games with deep stacks and no tournament or prize-pool structure.

Need first

  • Solid fundamentals of no-limit hold 'em, including position and basic starting-hand selection.
  • Familiarity with the push-or-fold model from the authors' earlier book Kill Phil, which this one builds on.
  • Comfort with basic pot-odds and equity calculations.
  • Enough post-flop skill and table experience to play speculative hands, or the discipline to start with a tighter range.

When it applies — and when it doesn’t

Use it
  • Early, deep-stacked stage of a multi-table tournament when you have a real post-flop edge — The authors say this is when better players profit most, seeing cheap flops and playing speculative hands to win big pots and double up.
  • You are uncomfortable being outplayed post-flop and want a lower-variance path — The alternative is a squeaky-tight early image (about 55+, AQs+, AK) that sets up effective steals later.
  • Short-stacked all-in spots against opponents who play too tight — Most players, even pros, push and call too tightly, so push more and call less to exploit them.
  • Near the money bubble as a big stack — Bubble factor means big stacks should pressure medium stacks, not small stacks, because ICM makes medium stacks fold more.
  • Applying the framework to formats like SNGs, satellites, winner-take-all events, and short-handed cash games — The book explicitly covers these, adjusting for prize structure, with ICM and the bubble factor central to the tournament formats.
Adapt it
  • Playing speculative hands (unsuited connectors, Q5 on the button after limpers) as a less experienced player — The book warns these hands demand strong reading and post-flop skill, and suggests a tighter range until you gain experience.
  • Calling off chips with a marginal hand when pay jumps are close and you are a medium stack — Prize-pool nonlinearity distorts pot-odds math; the chips you risk are worth more than the chips you could win.
  • Facing a more skilled opponent in a deep-stacked, post-flop-heavy battle — The book's counter is to neutralize their edge by putting them to all-in decisions, not by out-maneuvering them.
  • Playing hyper-aggressive in a way that leaves you short on control — The authors note that rash young players often become railbirds; slow down when circumstances call for prudence.
Not here
  • Deviating from equilibrium push/fold without a reliable read on the opponent — Equilibrium is the unexploitable default; leave it only when your read on the opponent is accurate.
  • Playing games other than no-limit hold 'em (limit, PLO, mixed games) — The book focuses exclusively on NLHE, so the math and tactics do not transfer directly.
  • Playing predictably, with the same bet sizes and ranges every time — Unpredictability and mixing up sizes and ranges are called the greatest long-run assets.

The honest case

Strongest case for

  • The advice rests on mathematical analysis, with equilibrium push/fold solutions and ICM/bubble-factor calculations checked for accuracy and robustness by Heston and Streib.
  • Stack size relative to blinds and to opponents really does drive correct play, so a CSI-first approach organizes decisions coherently across tournament stages.
  • Aggression earns fold equity and fear equity, so you win pots without the best hand, and tournament-life pressure punishes opponents' caution.
  • The equilibrium-then-exploit structure is sound: an unexploitable baseline, with deviations justified only by reads. That limits the downside of experimentation.
  • The bubble-factor insight (big stacks attack medium stacks) explains why many natural decisions near the money are wrong.
  • Combining theory with a veteran's experience and pro commentary adds practical credibility and lets the advice be tested against real play.

Strongest objection

  • Much of the edge depends on accurate reads of opponents and strong post-flop skill, which are hard to acquire, so most readers may misapply the exploits.
  • The claim that most players push and call too tight is a generalization and may not hold as the field gets tougher and more aggressive, as the authors themselves note about young players.
  • Equilibrium and ICM solutions assume simplified conditions (known stacks, rational opponents, fixed payouts), and real tournaments with skill differences, side deals, and psychology deviate from them.
  • Loose-aggressive early play with speculative hands increases variance and risks early elimination, and may suit only a small elite of skilled players despite being advised broadly.
  • The book dates from 2009, and the modern game, with solvers and widespread push/fold knowledge, may have changed what counts as exploitative.
Source notes

The model's constructs are drawn from the source element(s); load-bearing constructs are corroborated across the shelf, emerging ones are flagged.

Ideas covered by the source notes

  • Controlled Aggression
  • Bet Sizing Strategy
  • Equilibrium Play Adherence
  • Stack and Position Management
  • Relative Stack Size (CSI)
  • Bubble Factor

Movement V

Measure

Use available assessments to reflect on what you have learned.

In this part

A way to gauge yourself against the book's model, and the instruments it gives you.

  • — A self-check built from the book
  • — Instruments and what you'd measure next

Learning curriculum

After this book, you can…

The book's learning objectives, classified by Bloom's taxonomy and ordered so each builds on the ones before it.

01Foundational — know & understand
  1. describe
    After this book you can describe how fold equity and fear equity convert marginal or negative-equity holdings into profitable plays, and why betting and raising is preferred to calling.
    Check: Short-answer and worked examples: compute the break-even folding frequency for a bluff or shove, and explain how a table image of willingness to go all-in raises that frequency.
  2. explain
    After this book you can explain how relative stack size (CSI/CPR, cost per round) determines available options, implied odds and tactics, and calculate it for yourself and your opponents at any point in a tournament.
    Check: Given table snapshots with stacks, blinds and antes, compute CSI/CPR for each player and state which strategic zone (deep, medium, short) each stack occupies and why.
02Working — apply
  1. apply
    After this book you can apply loose-aggressive small-ball and long-ball tactics, such as raising first in, selective multiway limping with speculative hands and well-timed stack-threatening raises, to accumulate chips in the early deep-stacked stages.
    Check: Scenario-based quiz or hand review: given early-stage hands, choose the entry action (limp, raise or fold), and justify it by position, stack depth and the speculative-hand potential.
  2. adjust
    After this book you can apply the Rule of 5 and 10 and position-based adjustments to change hand selection and tactics as your stack shrinks relative to the blinds.
    Check: Present a sequence of hands at declining CSI and have the learner state the starting-hand range, the action (raise, shove or fold) and the reasoning at each stack level.
  3. execute
    After this book you can execute equilibrium push/fold and calling strategies in short-stacked and heads-up all-in situations, and explain why they are unexploitable defaults.
    Check: Provide push/fold and call/fold spots by stack size and position; the learner determines the equilibrium action by chart or calculation and explains why deviation would be exploitable.
  4. calculate
    After this book you can calculate and interpret the bubble factor, using the Independent Chip Model to show how prize-pool nonlinearity changes the pot odds required to call or push.
    Check: Given stacks and a payout structure, compute ICM equities, the bubble factor for a call, and the equity required to call, then state whether the call is correct.
  5. select
    After this book you can select bet and raise sizes (small probes, pot-sized bluffs, overbets, stack-threatening raises) that disguise your hand range and put opponents to decisions for their tournament life.
    Check: Given board textures, stack sizes and opponent types, choose and justify bet sizes, and show that value hands and bluffs are sized so that opponents cannot tell them apart.
03Advanced — analyze & judge
  1. analyze
    After this book you can analyze near-the-money and final-table situations to determine who should pressure whom, including why big stacks should attack medium stacks rather than short stacks, and why short stacks must wait.
    Check: Given a bubble or final-table layout, rank each player's bubble factor and recommend an action for each stack category, justifying it with ICM-based reasoning.
  2. assess
    After this book you can assess opponents' skill, ranges, push/call frequencies, tells and betting patterns to place them in an exploitable category.
    Check: Given opponent descriptions or hand histories, classify the opponent's tendencies and identify the evidence that supports each conclusion, including the read's reliability.
04Mastery — synthesize & create
  1. judge
    After this book you can judge when to deviate from equilibrium to exploit weak opponents, such as pushing more often and calling less often against typically tight short-stack players, and when to revert to equilibrium against equal or better players.
    Check: For a set of opponent profiles and all-in spots, decide whether to follow equilibrium or exploit, specify the adjustment and its size, and defend it based on read accuracy and risk.
  2. devise
    After this book you can devise strategies to neutralize more skilled players and hyper-aggressive opponents by putting them to all-in decisions, applying fear equity, and making well-timed laydowns.
    Check: Case study: given a table with a stronger or hyper-aggressive opponent, design a plan covering the lines, bet sizes and re-raise or laydown conditions to protect and grow your stack.
  3. design
    After this book you can design an adaptable, unpredictable game plan for MTTs, SNGs, satellites and short-handed games, mixing ranges and bet sizes while balancing chip accumulation against prize-equity maximization.
    Check: Produce a stage-by-stage plan for a given tournament format, specifying range, aggression and sizing at each stage, how they are mixed up, and when ICM concerns override chip-EV.

How to measure it

Turning each idea into a measure

For each construct: how to operationalize it, the observable signals to look for, and how well it holds up.

Controlled Aggression

Measured behaviorally from play data as the ratio and frequency of aggressive actions (bets/raises) to passive actions (calls/checks) across streets, and pre-flop raise-first-in frequency.

Observable signals
  • high aggression factor
  • frequent first-in raises
  • moving in at first sign of resistance
  • opponents folding to pressure
Scale

Feasible via behavioral counts and ratios from hand histories; no scored scale prescribed.

Holds up?

Distinguish from recklessness; controlled aggression avoids showdowns and picks spots. · Stable across sessions if opponent pool is comparable; may vary by stage and image.

Bet Sizing Strategy

Assessed behaviorally as bet-to-pot ratios and the correlation (or intentional lack thereof) between sizing and hand strength across situations.

Observable signals
  • pot-sized bluffs and all-in value bets
  • raises committing 40%+ of opponent stack
  • small blocking bets on the river
Scale

Ratio-scale bet-to-pot measures; feasibility high from archival play data.

Holds up?

Predictable sizing tells can invert intended effect if opponents adapt. · Consistent sizing improves reliability of the measure but can reduce deception.

Equilibrium Play Adherence

Operationalized by comparing observed short-stacked push/fold and calling ranges to computed equilibrium ranges (e.g., via ICM-based solvers).

Observable signals
  • ranges matching computed equilibrium tables
  • adherence increasing with opponent skill
Scale

Requires solver benchmarks; feasibility via archival hand analysis, not self-report.

Holds up?

Equilibrium is a defensive benchmark; adherence is not always EV-maximizing against weak opponents. · Depends on stability of solver assumptions (ICM limitations).

Stack and Position Management

Measured behaviorally as hand ranges and action choices conditioned on CSI stage and seat position, and adherence to first-in/positional guidelines.

Observable signals
  • tighter/looser ranges by stage
  • stealing more from late position
  • folding speculative hands when short
Scale

Feasible from archival state plus action logs; no scoring rubric imposed.

Holds up?

Requires correct CSI computation and relevant-stack consideration. · Stable given consistent stage definitions.

Relative Stack Size (CSI)

Computed as chip stack divided by CPR (blinds + total antes); archival from tournament state.

Observable signals
  • CSI thresholds mapping to normal, semi-aggressive, aggressive, move-in, special stages
Scale

Ratio scale; directly computable and highly feasible.

Holds up?

Must use the relevant (smaller) stack in dyadic implied-odds contexts. · Objective and reproducible from game state.

Bubble Factor

Computed via the Independent Chip Model from the current stack distribution and prize structure, opponent-by-opponent.

Observable signals
  • values near 1 far from money
  • values well above 1 in satellites and big-stack clashes
Scale

Ratio measure >=1; computed archivally via ICM tools.

Holds up?

Inherits ICM limitations (equal skill assumption, ignores blind order/size). · Reproducible given the same stacks and payouts.

Opponent Skill and Read Accuracy

Proxied via tracking-software statistics (VPIP, PFR, AF), documented notes, tell observations, and read accuracy verified at showdown.

Observable signals
  • accurate showdown predictions
  • use of PokerTracker stats
  • correct big laydowns
Scale

Mixed perceptual/behavioral proxies; feasibility moderate, no formal scale.

Holds up?

Read accuracy is context-dependent and can be biased by table image. · Improves with sample size of observed hands on an opponent.

Fold Equity

Inferred behaviorally from opponent fold frequencies to bets/raises combined with the computed EV of bluff/semi-bluff actions.

Observable signals
  • opponents folding better hands
  • successful uncontested steals
Scale

Best expressed as probability-weighted EV; feasibility behavioral, not self-report.

Holds up?

Diminishes at very low CSI and against calling stations. · Estimates stabilize with more observations of opponent fold behavior.

Fear Equity

Proxied by reductions in opponents' willingness to enter pots with or play back at the aggressor after observed big all-in moves.

Observable signals
  • opponents giving wide berth
  • fewer re-raises against the aggressor
  • successful blind stealing
Scale

Perceptual/behavioral proxy; feasibility low for direct measurement.

Holds up?

Can be undermined if bluffs are repeatedly exposed at showdown. · Table-level and transient; varies with recent history and image.

Induced Opponent Mistakes

Detected via showdown analysis and by measuring deviations of opponent actions from computed equilibrium ranges in given spots.

Observable signals
  • showdowns revealing incorrect folds/calls
  • opponents calling too tight on the bubble
Scale

Count/rate of identified errors; feasibility behavioral via archival analysis.

Holds up?

Requires reliable benchmark for 'correct' play to classify errors. · Reproducible given consistent equilibrium benchmarks.

Chip Accumulation

Measured archivally as chip count or CSI trajectory over the course of an event.

Observable signals
  • rising stack relative to average
  • achieving big-stack status
Scale

Ratio/interval measure; highly feasible from tournament records.

Holds up?

Chip value is nonlinear; more chips not linearly better in prize terms. · Objective and reproducible.

Prize Equity / Tournament Results

Computed as ICM prize EV given current stacks and payouts, and measured over samples by realized cashes and finishing positions.

Observable signals
  • higher expected value near the money
  • frequent deep finishes and wins
Scale

Monetary/percentage measures; feasibility high archivally, EV via ICM tools.

Holds up?

ICM assumes equal skill and ignores blind timing/order, limiting precision. · Realized results are high-variance; EV estimates more stable over samples.

Self-assessment

Where would you like to improve?

This is a structured self-diagnostic built from the model — a mirror for reflection, not a validated psychometric scale. For validated measurement, see the instruments below.

1 = Strongly Disagree · 7 = Strongly Agree

Capabilitythe practices and skills you deploy
  • I usually bet or raise when I enter a pot rather than just calling, and I play my bluffs and my strong hands in the same way.
  • I tend to use the same bet size regardless of whether I hold a strong hand, a weak hand, or a bluff.
  • I follow game-theory-based push/fold and calling charts in short-stack spots so that my play is hard for opponents to exploit.
  • I change which hands I play and how aggressively I play them based on my stack size relative to the blinds and my position at the table.
  • I regularly put opponents in situations where they make mistakes, such as folding the best hand or calling with a worse one.
Alignmentthe outcomes you steer toward
  • I steadily build my chip stack during a tournament instead of just waiting to survive.
  • I understand how my chip stack translates into real prize money through the payout structure, and I use that to guide my decisions.
Motivationthe states you cultivate in others
  • I deliberately make bets and shoves in spots where I expect opponents to fold hands that could beat mine.
  • Opponents at my table avoid contesting pots with me because they know I am willing to put all my chips in at any time.
Supportthe conditions you shape
  • I regularly check how many rounds of blinds and antes my stack can cover and choose my strategy accordingly.
  • Near the bubble or a pay jump, I call all-in bets using the same pot odds I would use in a cash game.
  • I accurately judge my opponents' skill levels, hand ranges, and betting patterns and use those reads to make my decisions.
0 of 12 answered

Proposed measures — starter instruments where no validated one was found

Controlled Aggression Practice Index

proposed · not validated

Rated for your team or hiring process — not a personal self-check.

  1. Review of the team's hand histories shows that betting and raising are used more often than passive calling in comparable situations.
  2. Documented strategy guidelines specify the conditions (position, stack depth, opponent type) under which pressure is applied with both value hands and bluffs.
  3. Session reviews show that aggressive lines are paired with a stated rationale, and lines that fall outside the guidelines are flagged and discussed.

Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.

Bet Sizing Strategy Maturity Index

proposed · not validated

Rated for your team or hiring process — not a personal self-check.

  1. A written sizing framework defines when small probes, pot-sized bets, overbets, and stack-threatening raises are used.
  2. Sizing choices for value hands and bluffs are reviewed to confirm that they look similar and do not reveal hand strength.
  3. Hand review records show that bet sizes are chosen by reference to board texture, stack-to-pot ratio, and opponent tendencies, and the choices are tracked over time.

Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.

Equilibrium Play Adherence Index

proposed · not validated

Rated for your team or hiring process — not a personal self-check.

  1. Push/fold and calling ranges are drawn from solver or game-theory outputs and are available in a reference chart or tool.
  2. Post-session audits compare actual decisions against equilibrium recommendations and record the frequency of deviations.
  3. Every deliberate deviation from equilibrium play is documented with the specific opponent exploit that justifies it.

Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.

Sources

The cheat sheet

Everything, on one page

One key takeaway from each section, with links to read more.

Publication details

Consult the sources listed in this guide for further reading. Edition 1 · Updated 2026-10-03.

Explore related books and profiles in the library.