In chapter 6 of PLO From Scratch, Bugs steps away from theory to examine the practical realities of grinding low-limit PLO, using a large database to analyze the player pool, estimate reasonable statistical benchmarks, and design a simple, functional HUD for 6-max play.
1. A Practical Interlude Before Postflop Theory
After completing the preflop theory in earlier chapters, Bugs pauses to focus on:
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The bankroll-building project (from $5PLO to $200PLO)
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The structure of the low-limit player pool
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The impact of rake
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Reasonable statistical benchmarks for common HoldemManager (HEM) stats
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Designing a simple, effective HUD
The analysis is based on a database of approximately 15 million hands from PLO25, PLO50, and PLO100 over 3.5 months, covering more than 92,000 unique players.
2. The Bankroll-Building Project
The “50+10” Bankroll System
The move-up strategy remains:
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Maintain 50 buy-ins (BI) for the current limit.
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Take shots at the next limit once you have 10 additional buy-ins for it.
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Drop down immediately if the shot fails.
To move from PLO5 to PLO200 without failed shots requires grinding 170 buy-ins total, which—at an estimated 7.5 ptBB/100 win rate—translates to roughly 113,000 hands.
A Change in Micro-Stakes Strategy: Volume Over Precision
Originally, the goal was to maximize win rate (bb/100) by playing few tables with intense focus. After reassessing the micro player pool, Bugs changes course.
Why?
At micro stakes:
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There are many weak players.
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Few solid regulars.
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Player overlap across sessions is low.
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Exploiting specific opponents deeply has limited long-term payoff.
Because ABC poker already exploits common mistakes sufficiently, maximizing volume is more profitable than maximizing win rate.
Hourly Rate vs Win Rate
A slightly lower win rate across more tables often yields a higher hourly profit.
Conclusion:
At micro stakes, prioritize volume and efficiency. Use solid, straightforward strategy, grind quickly through the rake-heavy environment, and move up as soon as possible.
3. What the Database Reveals About Low-Limit PLO
Distribution of Winners and Losers
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26% of players were winners (≥ 0 bb/100).
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74% were losers.
This confirms that most players lose, with rake being a major contributor.
Player Volume Distribution
Out of 92,469 players:
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53% had fewer than 100 hands.
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Only 3% had 5,000+ hands.
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Fewer than 5% qualify as regulars.
This suggests:
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The vast majority of players are casual or low-volume.
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True regulars form a small minority.
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Most opponents will be weak and inexperienced.
Although regulars are encountered more often individually, the pool overall is heavily fish-dominated.
4. The Rake: The Biggest Obstacle
Estimated rake:
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PLO25: ~15–16 bb/100
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PLO50: ~13–14 bb/100
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PLO100: ~11–12 bb/100
This is enormous—more than one buy-in per 1,000 hands at all limits.
Implications:
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Marginal spots become losing spots.
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Loose styles are punished heavily.
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Variance increases.
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Tight, efficient styles are favored.
Bugs argues that the rake strongly restricts viable playing styles at low limits. Extremely loose strategies are unlikely to be optimal under such heavy rake conditions.
5. Estimating Optimal HEM Stats
Using players with at least 5,000 hands (2,817 players), Bugs analyzes win rates relative to stat ranges by dividing players into groups and comparing median results.
Estimated Optimal Stat Ranges
VPIP
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Optimal: 21–27%
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Above 45%: strongly losing.
Conclusion: A tight-aggressive (TAG) style performs best in rake-heavy environments.
PFR
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Strong lower bound: >10%
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15–20% typical for effective TAGs.
3-Bet%
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Lower bound: >3%
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Reasonable region: 3–6%
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Possibly higher if exploiting weak opponents.
Postflop Aggression Factor (AF)
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Lower bound: >3
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Passive play underperforms.
Flop C-Bet%
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Optimal region: 56–63%
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Too low or too high performs worse.
Turn C-Bet%
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Optimal region: 45–51%
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Over-barreling is punished.
WTSD%
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Likely optimal below 27%
6. Designing a Simple Low-Limit PLO HUD
Bugs applies the “Keep It Simple” philosophy.
Included Stats
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VPIP
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PFR
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3-Bet%
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AF
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Flop CBet%
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Turn CBet%
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WTSD%
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Hands played
Color Coding System
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Yellow = Tight/Nitty
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Green = Loose/Passive
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Red = Aggressive
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Blue = Solid/Neutral
Each stat is divided into three broad categories to simplify real-time decision-making.
How to Use the HUD in Practice
VPIP
Primary classification stat. Target your own VPIP around 23–25%.
PFR
Under 5% = passive
Above 10% = aggressive
3-Bet%
Below 3% = mostly AAxx
Above 6% = wide/aggressive
Adjust your 4-betting and calling ranges accordingly.
AF
Low AF → respect aggression
High AF → bluff more selectively
C-Bets
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High flop C-bet + low turn C-bet → profitable to float.
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Very high turn C-bet → tighten turn calls.
WTSD
Broad indicator of showdown tendency; use cautiously with small samples.
7. Key Strategic Takeaways
Micro-Stakes Reality
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Most players are weak.
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Regulars are few.
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Rake is brutal.
Best Approach
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Play tight-aggressive.
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Avoid marginal spots.
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Don’t overcomplicate reads.
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Maximize volume.
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Move up quickly.
Structural Insight
Low-limit PLO rewards:
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Discipline
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Value-heavy strategy
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Moderate aggression
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Balanced c-betting
It punishes:
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Loose splashy styles
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Marginal preflop looseness
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Excessive turn barreling
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Overly creative play
Final Perspective
Chapter 6 functions as a practical bridge between theory and advanced postflop strategy. It shows that success at low-limit PLO is less about creativity and more about disciplined execution under heavy rake conditions.
The core message:
Grind efficiently, play solid TAG poker, respect the rake, and escape the micros as fast as possible.