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By: Blackjack Science Soon after Thorpe convinced us that we could beat Blackjack if we could keep track of the cards played, players began developing and fine tuning counting systems to eek out all the advantage possible.

As we have found, some worked better for certain games (number of decks) than others and some were less difficult to learn and use. The list of systems has grown but I am going to show you a popular group with a composite analysis done with millions of hands of simulation play.

I should further preface this analysis to say that Blackjack Science trains and uses Hi-Lo as it is the most popular system in use, especially with many of the historic teams.

Shown in the chart are the values each system assigns to each card (tags). Difficulty of use suggest how hard the system is to use (higher numbers are harder).

Betting Correlation – BC is defined as the correlation between card point values and the effect of removal of cards. It is used to predict how well a counting system predicts good betting situations and can approach 1.00 (100% correlation.) BC is particularly important in shoe games (six or eight decks.)

Insurance Correlation – IC is defined as the correlation between card point values and the value of cards in Insurance situation. A point value of -9 for tens and +4 for all other cards would be perfect for predicting if an Insurance bet should be placed.

Playing Efficiency – PE indicates how well a counting system handles changes in playing strategy. Playing efficiency is particularly important in hand-held games (one or two decks.)

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