This graph provides the real distribution of RC values in the set shoe range. The word "real" is emphasized because this distribution graph is made based on RC values generated by the simulation, at shuffling. So it depends not only on the card counting method but on the set hit/stand strategy as well. The graph gives clear picture about the percentual occurrence of a certain RC value in the game. For except, in the case of a single deck game (basic strategy, High Opt II card counting) you will find RC=0 value in 8%, but RC=+9 occurs only in 1.4%. The actual figures depend strongly on the card counting strategy, while the asymmetry of the right and left sides of the graph is defined by the strategy of the dealer and the players.
The graph can be set in cumulative mode as well. In this case the occurrence figures of RCs will be added, starting from left.
In comparison with the "Minimum RC to win" graph you will understand the usefulness of this graph, among other things. For except, in the case of a six-deck game the "Minimum RC to win" graph shows that you can have an advantage (and a chance to increase the bet) at RC=8 in the first deck. From the "RC distribution" graph you can read (after setting the shoe range to the first deck and the graph into cumulative mode) that a value of 96.22% belongs to RC=7. This means that RC=8 or a larger numbers will occur in the remaining 3.78%. So in 1000 rounds played with the first deck of a six-deck shoe you will have RC=8 or higher values only 37 times in the average.