Following is a part of the report file description provided in SBA's help. The text should help you to understand the statistics in SBA's report files.
A note: The full version of SBA includes the "Explanation of Blackjack Statistics" document, which is not available in the demo version. However, you can see its content on theAbout SBA screen.
I. TECHNICAL DETAILS After finishing a simulation, SBA creates a report file. If the simulation was "short "(shorter than a predefined number of rounds), the name of the report file is WORKFILE.txt. The WorkFile is considered to be a temporary file, which is overwritten by next "short" simulation. (This way the directory with report files will not be overfilled with hundreds of mostly worthless report files, when most of them were just short trials.) If the simulation is long enough, a unique report file (a text file) is created. The name of the report file starts with the name of the simulation (*.sim) file, and includes a suffix name which is specified in the Configuration/Simulation menu (Report File Name suffix). These report files are also numbered. The number is attached as the last suffix. II. THE CONTENT OF A REPORT FILE A) BASIC LISTING After the heading follows the time and date when the simulation started and finished. On the very next line is the random seed that initiated the random numbers generator. Next, SBA describes in detail the rules, counting system, and conditions that were used in the simulation. If you used any odd rules, like blackjack payoff different than 3:2, SBA reports this too. In case a non-standard deck was used (either removed or added extra cards), SBA fully lists the deck -- card values with corresponding occurrence. From the list of rules and conditions the simulation settings can be uniquely determined. B) COUNT STATISTICS This main report file table provides a probability distribution of each count. Note, that all the data in that table are independent on your betting spread. All numbers are in percentages. A description of table columns follows. 1) 1st & 2nd columns: TC & PERCEN (True count with its probability distribution.) The first two columns show the distribution of the true count (TC) WITHOUT ace side count adjustment. The TC is calculated at the beginning of each round. 2) 3rd & 4th columns: AC & PERC (True count adjusted for ace side count with its probability distribution.) The next two columns show the distribution of the true count ADJUSTED for ace side count (further referred to as adjusted count, or AC), calculated at the beginning of each round. If you do not keep an ace side count, the distribution will be exactly the same as the distribution of the true count in the second column. Note, that in the 'ADDITIONAL STATISTICS' section you can find another AC distribution, which includes all splits and double bets. That distribution will be slightly different. All the following columns are related exclusively to the AC. 3) 5th column: ST. ERR. Standard error of the previous column (PERCEN). This number tells us, how exact the estimate of the percentage of each AC (in the PERCEN column) is. For an explanation of what exactly standard error means, go to Help and click on "BJ Statistics" to open the "Statistics of Blackjack" explanation document. 4) 6th & 7th columns: ADVANT & ST. ERR. Player's advantage on each AC (column ADVANT) with corresponding standard error (column ST. ERR.) These columns provide very important information. The standard error tells how exact the estimate of the advantage per each AC is. 5) 8th column: SDROUND Standard deviation of each round (per unit bet) with respect to each AC. A very important statistics. If you know the advantage of each AC and the standard deviation of a hand played on this AC, you can calculate the optimal bet on this count (based on maximizing for example Kelly utility). For more information to this topic, see the "Statistics of Blackjack" document. 6) 9th column: ACTION How much extra money in terms of initial bet the player pulls out. For example, if Action for a certain count is 1.1, it means that the player pulls out, in average, 10% of the initial bet on splitting and doubling. C) MAIN STATISTICS In this section you will find most of the information you are looking for. 1) Initial bet advantage (IBA): IBA is one of the most important results. It is provided together with standard error. IBA is advantage with respect to the 'initial' bet. Definition of IBA: IBA = total units won (lost) / total of initial bets (without splits, doubles, insurance, etc.) 2) Total bets advantage (TBA): TBA is advantage with respect to all bets pulled out. TBA tells us what the return on total investment (wager) is. Unlike the IBA, we include addition bets for split hands, doubled hands, and any side bets. The standard error for TBA is practically the same as for IBA. TBA is defined as: TBA = total units won (lost) / total bets (including splits, doubles, insurance, etc.) Since the denominator in the formula for TBA is always greater than in the formula for IBA, the absolute value of TBA will always be SMALLER than absolute value of IBA. In other words, if we play on an advantage, IBA will show greater advantage than TBA. If we play on disadvantage, IBA will show greater disadvantage than TBA. The difference will typically be around 13 to 15 percent. It will be a little more if you range your bets and deviate from basic strategy, since in this case one doubles more on positive counts than on negative ones. 3) Estimated payoff for 100,000 rounds played with standard deviation: A very useful statistics, which provides the expected win together with standard deviation for 100,000 rounds. You can recalculate the same for any other number of rounds, of course. See the "Statistics explanation" for a formula and detailed explanation on the recalculation. 4) Estimated payoff for 100,000 rounds observed with standard deviation: In the case you bet zero on some true counts (backcounting), this statistics includes also the rounds where you bet zero bets. (Unlike the previous one -- number 5).) If you do not use zero bets, this statistics is ommited since it would be the same as 5). 5) Average standard deviation per round: An important statistics which provides average standard deviation per round for a given betting spread. The higher the bets and betting spread, the higher will this number be. This standard deviation allows us to calculate confidence interval and standard deviation for player's winnings after any number of rounds. For more information, see the "Statistics explanation." 6) Average standard deviation per round per unit bet (SDRB): This statistics says: if you wanted to use only one standard deviation for all true counts, this is the appropriate number. SDBR is (quadratic) average of standard deviations for each AC from the Count Statistics table, appropriately weighted by each AC occurence and bet on each AC. SDRB depends slightly on your betting spread, since different betting spreads mean different weights for each AC in SDRB calculation. Using this number you can recalculate a rough approximation of player's winnings after any number of rounds. It is a common (incorrect) approach to take standard deviation of a blackjack hand (for one unit bet), and multiply by average bet to get a standard deviation per round. However, you can take the standard deviation of a blackjack hand and multiply by the "quadratic average bet", which is calculated a little differently than "standard" average bet. If you multiply SDRB by the quadratic average bet, you get exactly average standard deviation per round. 7) Average bet per round (ABR): The average bet calculated at the beginning of each round. No split, doubled, and side bets included. The definition is: sum of initial bets / number of rounds If you play multiple hands, ABR will be correspondingly higher. (For example, if you play always two hands, ABR is twice as big than if you played only one hand.) 8) Average bet total (ABT): The average bet considering ALL bets including splits, doubles, and side bets. The definition is: total bets pulled out / number of rounds Since total bets are always more than initial bets only, ABT will always be greater than ABR. 9) Insurance contribution The insurance contribution says exactly how much insurance contributes to your overall initial bet advantage (IBA). If you did not buy insurance, IBA would be smaller exactly by the 'Insurance contribution' amount. 10) Insurance contribution to ATB: Similar to 10), only with respect to ATB rather than IBA. 11) Number of won sessions, lost sessions, and total number of sessions: A session is considered won as soon as you reached the AIM BANKROLL (specified in the "Player's Strategy/Betting Strategy" menu.) A session is considered lost if you lost your session BANKROLL (specified, again, in the "Player's Strategy/Betting Strategy" menu.) Percentage of won sessions equals (Number of winnings / number of sessions). It is provided together with standard error. Note, that if you want to analyze the probability of doubling your whole bankroll for fixed betting (no proportional betting) you do not have to run the simulation for the whole bankroll (which might be for example 10000 units). Rather, you can run it for 50 or 100 units, and than recalculate the probability of doubling your bankroll for 10000 units. You might want to do this since for 10000 units you probably would not get good (reasonably exact) results even after running an extremely long simulation. I provide the formula which I derived for the recalculation. See the "Statistics of Backjack" document, section VI. (Risk of Ruin Calculation) for the formula and more details to the topic. 12) Surplus bank If you end one session (lose your session bankroll, or reach your aim bankroll), you not always end exactly on zero or reach exactly the aim bankroll, unless you bet flat 1 unit. Most of the time you end several units above your aim bankroll (if won), or below zero (if lost). A sum of these 'residuals' is the surplus bank. The surplus bank will usually be positive. You need the surplus bank if you want to calculate how many units you actually won. 13) Number of shoes played The total number of shoes SBA played. 14) Number of dropouts Number of dropouts is the number of shoes SBA left because the true count (adjusted count) or running count was negative. This number is greater than zero only if you leave on negative counts. 15) Percentage of dropouts Percentage of dropouts equals number of dropouts / number of shoes played * 100 The percentage of dropouts is provided together with standard error. 16) Number of rounds played The total number of rounds SBA played and bet non-zero. 17) Number of rounds observed If you bet zero on some counts, SBA disregards these counts for most of the reported statistics. However, this number here says what the total number of rounds is included the rounds where you bet zero. If you never bet zero, this statistics is ommited since it would be the same as the previous one -- 17). D) ADDITIONAL STATISTICS The last part of the report file, additional statistics, provides some more information and statistics about the game. This statistics is usually not as much important as the statistics from the previous section. 1) the first table provides distributions (percentages) of blackjack (first column), pushes (second column), hard doubles (third column), soft doubles (fourth column), splits (fifth column), surrender (seventh column), percentage of insurance (eight column), and advantage of insurance (ninth column). All this information is given with respect to the adjusted count (AC). If you want to see how exactly these percentages are calculated, just continue reading. The last (tenth) column called ACDIST gives the distribution of ALL bets with respect to the AC. Note, that this is not exactly the same as the AC distribution in the very first table from part A) COUNT STATISTICS. The AC distribution from the first table considered only initial bets, while this AC distribution considers all bets -- including splits, doubles, and side bets. For example, if SBA splits a hand, one additional bet is counted for this AC distribution, while only the original one was considered for the AC distribution in the first table. There is a tiny difference between the two, since on some counts you double (and split) more than on others, you insure only on positive counts, etc. The AC is calculated at the beginning of a round. 2) The second table provides detailed information of insurance with respect to the TC (if you do not buy insurance, this table is missing.) The TC, unlike the AC, is decisive for insurance decisions. Provided is the probability distribution, advantage, and standard error. The TC for insurance decisions is calculated immediate before the insurance decision. 3) If one uses the Over/Under 13 rule, the next table provides information for the Over and Under bets advantages (separately) for each true count, together with standard errors. The true count is calculated at the beginning of the round before any cards are dealt. 4) Following are overall percentages of blackjack, pushes, hard and soft doubles, splits, insurance, and insurance advantage. To have a full understanding what each number from 1), 2), and 3) above means, look carefully at the exact definitions: % of BJ = # of BJs / # of rounds * 100 % of push = # of pushes / (# of rounds + # of splits) * 100 % of hdoubl = # of hdoubl / (# of rounds + # of splits) * 100 % of sdoubl = # of sdoubl / (# of rounds + # of splits) * 100 % of split = # of splits / # of rounds * 100 % of surren = # of surren / # of rounds * 100 % of insur = # of insur / # of rounds * 100 For example, the percentage of blackjack at AC zero is calculated as: number of blackjacks at AC zero / number of rounds at AC zero * 100 (percent) I used the definitions above, since I found them most logically consistent. 5) If you set the correlation option on (it is set in the Configuration/Simulation menu), then the next table provides correlation coefficients between two simultaneously played hands with respect to each AC. However, if you did not play at least two hands on a given adjusted count, the correlation coefficient could not be calculated for this count, and N/A appears in the table. The correlation coefficient is very important for ranging your bets on multiple hands. For example, if you play two hands, your total bet on the two hands can be higher than if you played only one hand, in order to be on the same level of risk. However, the total bet should NOT be twice as much as you would bet when playing only one hand. The reason is that the two hands are not independent -- they face the same dealer's cards. To determine how much more in total you should bet when playing more than one hand, you need the correlation coefficient, which is a measure of dependence. For a detailed explanation to this topic, together with a formula and some examples on calculating the optimal bet for more simultaneously played hands, see the "Statistics explanation." 6) If you checked the Up Card Statistics in the Configuration/Simulation menu, then the last table in the report file provides you with information about the probability of dealer drawing to 17, 18, 19, 20, 21, blackjack, and busting, given his up card. For example, you can see the probability of dealer busting if he has a 6 up. IMPORTANT: This statistics is based on dealer always finishing his hand. Even if the dealer should not finish his hand (the players all busted or had blackjacks), the hand is finished artificially for the sake of this information. 7) The next line shows the distribution of the number of dealers cards (how often the dealer finishes with two, three, etc. cards.) Knowing this information, it is easy to calculate how many cards, in average, the dealer takes. This statistics is NOT based on dealer always finishing his hand. 8) The last line tells for each card how often the dealer hits it. Generally speaking, for a finite shoe the dealer's hand will contain, in average, more high than low cards, since the ending card (last hit card) is more likely high than low. This line does not count the first two dealer's cards, only additional hits. (The first two dealer's cards cannot show any bias from normal distribution of cards, of course.) This statistics is NOT based on dealer always finishing his hand.