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Lesson 7 · Card Counting

Choosing Your System

Hi-Lo is the system this course teaches, and for almost everyone it is the right answer. But it is not the only one — and knowing what the alternatives buy you, and what they cost, is part of counting well.

Two questions separate all four: does the count balance to zero over a full shoe, and how many distinct tag values do you have to hold at a dealer’s pace?

Examples

Balanced vs unbalanced

Balanced systems (Hi-Lo, Hi-Opt II, Omega II) sum to zero over a full shoe, so they need the true-count division. KO does not balance — it starts at an IRC instead and you bet straight off the running count. Less arithmetic at the table, slightly less precision.

Level 1 vs level 2

Level-1 systems use +1, 0 and −1. Level-2 systems add ±2, which reads the shoe more accurately and roughly doubles the mental load. Accuracy you cannot sustain at table speed is worth nothing.

The ace problem

Hi-Opt II and Omega II count the ace as 0. That sharpens their read of ten density for playing decisions, but the ace matters enormously for betting — so real play adds a separate ace side count, which this app does not train.

Common mistake

Switching systems to squeeze out a fraction of a percent. The gap between a well-kept Hi-Lo and a perfectly-kept Omega II is far smaller than the gap between a well-kept count and a sloppy one. Change system because you want to, not because you expect it to fix your results.

The four systems side by side

System2345678910–KA
Hi-Lo+1+1+1+1+1000−1−1
KO+1+1+1+1+1+100−1−1
Hi-Opt II+1+1+2+2+1+100−20
Omega II+1+1+2+2+2+10−1−20
SystemTypeLevelAceStarts at (6 decks)Effort
Hi-LoBalanced1Counted0Entry
KOUnbalanced1Counted−20Entry
Hi-Opt IIBalanced2Neutral (side count)0Advanced
Omega IIBalanced2Neutral (side count)0Advanced

Everything above is a property of the tag set itself. Figures like betting correlation and playing efficiency are deliberately left out: they vary with the simulation assumptions behind them, and a number without its source is not a fact.

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Train it in the Counting Lab →