Statistical Leftovers

Just cleaning out some leftover data from the pitch-by-pitch analysis from the last couple weeks. These are a couple things I calculated along the way, that never made it into a post. These data are from 2006.

Tiger data

While delving into Curtis Granderson’s strikeouts, I calculated many of the same stats for the rest of the team. Here they are:

Team Data

If you were curious at which teams made the most contact (Baltimore Orioles, Minnesota Twins, Arizona Diamondbacks) or which teams saw the highest percentages of balls (Yankees, A’s, Red Sox), who who was most likely to avoid a 2 strike count (Orioles, Angels, and Dodgers), the table below is for you.

I’m not trying to imply this means anything, this is just for informational purposes only.

The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at “”.

3 thoughts on “Statistical Leftovers”

  1. I like the contact % stat because it is a highly repeatable skill.
    It is a better measure of ability to make contact than batting average. Just eyeballing it, it does not look like it is correlated with scoring runs. It is correlated with batting average though and batting average is correlated with scoring runs. I would imagine that contact% is a better predictor of future batting average than batting average. If so, then it could be pretty useful.

  2. Hey, Lee — it would be interesting to see whether there is a correlation between CT% and BABIP year to year. Maybe I should check that out when the new Lahman DB comes out, although I don’t know how to adjust that for PFs. Do either of you guys?

    Also, I’m pretty sure batting average correlates less to run scoring than both on base and slugging. I wonder how CT% correlates to those last two?

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