In chapter 7 of Playing The Player, Ed Miller explains how to systematically “break through” when a game feels tough by learning to identify and attack specific weaknesses in opponents—especially regulars you currently believe are “too good” to beat. The chapter frames poker improvement as a practical, repeatable process: gather evidence, infer ranges, find imbalances, apply pressure, observe adjustments, and generalize what works.
The Core Idea: Most “Good” Players Have Holes
Miller’s premise is that truly adaptive, well-balanced small-stakes players are rare. Most regulars play a fairly static strategy, and even when they adjust, they often do it slowly or incorrectly. If you feel stuck, the problem usually isn’t that everyone is unbeatable—it’s that you haven’t located the profitable leaks yet.
A Six-Step Process for Finding and Exploiting Holes
Step 1: Pick a “Too-Good” Regular to Target
Choose one strong-seeming regular who plays a lot (so you’ll see them often). This is a deliberate training investment: you’re temporarily prioritizing learning over short-term winrate so you can level up faster.
Key criteria:
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Frequently in the game
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Winning or respected
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Not truly elite (you want someone with discoverable leaks)
Step 2: Gather Preliminary Data
For several sessions, your job is observation—not maximizing profit. Miller recommends playing tight and straightforward so your mental bandwidth stays on the target.
What to track:
Showdowns and Full Hand Lines
Record:
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Position
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Bet sizes
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Checks/bets/calls/raises by street
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Stack sizes when possible
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Hands shown (and what line they took)
Preflop Frequencies by Situation
Build a simple grid in your notes:
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Positions: early / middle / late / blinds
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Situations: opening pot / limpers ahead / raiser ahead
Each time your target acts preflop, you mark what they did in the relevant box (fold, limp, raise size, etc.). Over time this gives you a rough map of:
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How wide they play by position
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Whether they change sizing by hand strength
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Where they over-fold or over-attack
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How they behave in 3-bet pots (critical)
Postflop Tendencies and “Missing Lines”
You’re hunting for patterns that create predictable ranges, such as:
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C-betting too often (or too predictably)
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Rarely value betting thin on rivers
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Pot-controlling turns with certain made hands
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Check-raising frequencies and what draws they choose to raise
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Bet sizing tells (very small or very large bets)
The goal isn’t just “they’re aggressive” or “they’re tight”—it’s what their range looks like when they take line X.
Step 3: Summarize Their Strategy
Turn notes into a usable profile:
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Estimated preflop ranges per situation (open/limp/raise sizes)
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3-bet and vs-3-bet behavior (call/fold, positional differences)
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Postflop defaults: c-bet patterns, turn checks, river value tendencies
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Typical draw aggression: which textures they raise vs call
This is where “hand reading” becomes “range reading.”
Step 4: Brainstorm Unbalanced-Range Scenarios
Now you start inferring: where does their strategy naturally produce ranges that are too weak or too strong?
Examples of imbalance types Miller highlights:
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Betting lines dominated by weak hands (classic bet-fold spots)
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Lines that cap strength (missing value bets, missing protection, pot-control habits)
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Aggressive actions from wide preflop ranges that “can’t” connect often enough
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Check-raises from players defending wide blinds (often too many weak hands)
You write down a list of repeatable situations where their range tends to be:
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Bluff-heavy → call down / bluff-catch / induce
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Weak and fold-prone → raise
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Capped → thin value bet
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Over-bluffy → trap or slowplay selectively
Step 5: “Bumhunt” the Target (With a Purpose)
Now you actively seek position on the target and try to manufacture those scenarios.
Principle:
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Fold when they’re likely strong.
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Refuse to fold when they’re likely weak.
You’re trying to stop them from profiting with weak ranges. That means:
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Calling lighter in the specific spots their range is weak
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Bluff-raising the specific spots they bet-fold
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Preparing counters to their overused check-raises or barrels
You keep notes, but now they’re focused:
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Which exploits worked?
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What did they show when you were wrong?
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Did they adjust? How?
Miller emphasizes the iterative nature: you’ll refine your “Step 4” hypotheses based on real outcomes.
Step 6: Apply What Works to the Rest of the Regulars
Because many regulars copy each other’s “standard” strategy, exploits that work on one often work on several. You expand the playbook across the pool—until you hit someone who truly adapts well, at which point you repeat the process with a new target.
Key Lesson From Exercise 1: Use Notes to Identify Capped Ranges
The example shows how one hand can reveal multiple tendencies, like:
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Limping weak aces early
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Calling flops lightly out of position
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Failing to value bet top pair when checked to (creating a weak/value-missing range)
Then, in a later hand, those notes inform a profitable bluff-catch: if the opponent doesn’t bet thin value, their river betting range becomes skewed toward bluffs and strong value—often with too few “medium value” hands to justify folding everything.
This is the chapter’s essence: notes → range inference → imbalance → exploit.
Key Lesson From Exercise 2: Force Opponents to Unbalance Themselves
Miller shows a tactic for certain gambler/draw-jammer types:
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Their flop aggression suggests many draws.
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Their turn check often removes many strong made hands.
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On the river, instead of giving them a clean decision (that lets them value bet correctly or bluff optimally), you can use a small “probe/blocking” bet designed to trigger irrational behavior—particularly turning missed draws into raises.
Then, the exploit is to respond in a way that wins more when ahead and loses less when behind, because you’ve manipulated how they express their range.
The broader concept:
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When you face a range containing many bluffs + thin value, consider lines that induce predictable mistakes, including bluff-raises.
The Big Takeaway
Chapter 7 is Miller’s method for turning poker into an improvement loop:
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Choose a strong-seeming regular
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Collect evidence relentlessly
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Map their ranges and habits
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Identify where those habits create skewed ranges
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Attack those exact spots repeatedly
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Generalize successful exploits to the wider pool
If you feel stuck, this chapter’s answer is not “play better in general,” but “pick one opponent, find one recurring imbalance, and hammer it until the game cracks open.”