Card Analysis: Quick and dirty way to estimate what a card will hit

One of the great things about APBA in my mind, is the ability to look at an APBA card and know immediately what kind of a hitter he’ll be.  It’s the consistency of APBA’s cards that makes it fun.  The order of good numbers are almost always the same.  But looking at your favorite player’s APBA card, do you know exactly what he’ll hit?  Is there any way to figure that out?

Well no, but you CAN get a good estimate.  Below is a “quick and dirty” way of estimating what that card’s batting average will be under normal conditions.  I’ll admit, most of what you see below is what I remember reading in APBA Journals years ago. 

Keep in mind that this is by no means an accurate “formula” or some such.  Just a fast and easy way to guesstimate the hitting prowess of an APBA card.  Give it a try and see if it works. 

Here goes:

Step 1: Count the 14s and 42s on the card and subtract that number from 36.  Note: some people will subtract one more for the unusual number.  I never did in the past but it seems to make sense and it adds up when I tested it out.

Step 2:  Add up the hit values on the card.  Not every hit number gets full value.  Here is the estimated value for each hit number

APBA Result # Hit Value
1-7 1.0
8-9 .8
10 .9
11 1.0

Step 3:  Simply divide the total hit value from Step 2 by the number in Step 1.  That should get you a rough estimation of what that APBA card should hit. 

Let’s take 2010 Miguel Cabrera for example:

image

Step 1:  He has 4 14s.  Also, let’s go ahead and subtract one more for the 37 since that’s a re-roll. 36-4-1=31

Step 2:  He has two 1s, three 0s, one 7, three 8s, and two 9s.  2(1.0)+3(1.0)+1(1.0)+3(.8)+2(.8)= 10

Step 3: Divide the at-bat results by the hit value number. 10/31= .3225= .323

So by my guess, Miggy’s card should hit around .323, not too far off from his real life .328 batting average in 2010.

Some disclaimers: 

I know what you’re thinking… 7s are out sometimes, right?  Quick and dirty, remember?

Also, if Cabrera is in any of most APBA leagues out there, he’s going to be facing stronger pitching than in the MLB.  It’s not realistic for any APBA baseball player to hit their real life average when in a say, 10-team league.  The pitching is too concentrated.  And we’re better drafters than the MLB general managers, too.  Yeah!

Once I hit the post button, I just know there will be others out there with their own formulas on how they parse out APBA cards.  You’re just itchin’ to tell me how off I am, right?  Let me hear it!  Like I say, this is just my own formula I use as I remember it from the old APBA Journals.  If you have a better way, please share!!

Thomas Nelshoppen

I am an IT consultant by day and an APBA media mogul by night. My passions are baseball (specifically Illini baseball), photography and of course, APBA. I have been fortunate to be part of the basic game Illowa APBA League since 1980 as well as a frequent participant of the Chicagoland APBA Tournament. I am slogging through a 1966 NL replay and hope to finish before I die.

6 Comments:

  1. Of course, those values are highly dependent on the strength of the pitching in your context.

    It’s also dependent on the rules your league uses with regard to rare plays and error numbers. In the past 25 years, the leagues I’ve played in randomize 36-41 and 15-23 that don’t result in HBP, so I haven’t looked at this closely, but some of the 15-21 numbers are especially hit-rich.

    But, quick-and-dirty, I understand.

    Quicker and Dirtier: I judge cards by comparing them to the “average” card – 10 hits, 3 walks, 3 power numbers. (That’s probably a little above average, but I have higher standards.)

  2. you bring up a good point about the 15-21 numbers, especially I think with the new boards. It seems there are more hits which skew the formulas I’m used to.

    the outfield numbers are ripe with singles with fielding 2.

    /love it when I’m on offense. good for the stats :)

  3. I wonder if anyone has developed a revision to your hit values based on size of league….like for example how much lower the value of an “8” would be since you are facing many high grade pitchers.

    In small leagues “8’s” are almost useless.

  4. Hi! How did you come up with the Hit values. Trying to re-create but am having trouble figuring the math

  5. Why do mostly all players have just 1 homerun chance at 66? I’ve seen a player with 40 homers have just that 66 Homerun chance.

  6. How can analyze a hockey card

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