FanGraphs Baseball


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  1. I heard it mentioned, I think at BP, that a fly ball in play and a ground ball in play are approximately equivalent. Is this true? Does the .1R/.79O include home runs or just fly balls in play?

    Comment by Kinanik — February 17, 2010 @ 12:16 am

  2. What about a player like Jose Reyes? I don’t have the stats in front of me and I am just a neophyte SABR person, but I was under the impression that when he was putting the ball on the ground at the start of his career and beating them out for hits his odds of scoring a run would increase, whereas when he was hitting the ball in the air during recent years he would fly out more? Or do the odds of hitting the home run or the double in the gap (or in his case a triple) outweigh the benefits of getting the ground ball infield hit no matter what?

    Comment by Glen — February 17, 2010 @ 12:22 am

  3. On a per batter basis, the results fluctuate according to the hitter’s skills. This is showing league-wide trends.

    Comment by Matthew Carruth — February 17, 2010 @ 12:29 am

  4. It includes home runs.

    Looking at just balls in play would make them close to even, but I don’t find that particularly meaningful.

    Comment by Matthew Carruth — February 17, 2010 @ 12:31 am

  5. If this is true, then why are GB hitters so inept at producing runs?

    Comment by David MVP Eckstein — February 17, 2010 @ 12:35 am

  6. Interesting. Very Interesting.

    Comment by RonDom — February 17, 2010 @ 1:13 am

  7. That wasn’t supposed to be a vote. I’m a moron, I meant to reply.

    Is GB vs. Non-GB any more meaningful than Pop-up vs. Non-Pop-up? You’re grouping in a lot of disparate in the air events. Do pop-ups have a greater risk of becoming HRs than GBs?

    Comment by zach — February 17, 2010 @ 7:59 am

  8. For line drives, someone needs to come up with a “feet traveled per second” calculation that allows for a range to be defined as a line drive. Feet traveled before it hits the ground would be tricky, especially since some line drives presumably hit the wall or close to it, and some land in no man’s land between the infield and outfield. But I imagine the technology to estimate this is either here or just about.

    Comment by DL80 — February 17, 2010 @ 10:50 am

  9. I believe the notion of your question is only reaffirmed by the article.

    Comment by Resolution — February 17, 2010 @ 10:57 am

  10. I don’t know of anything (other than the Field f/x system) that measures the 4th dimension (time) right now. But if you had that, then you could use it to measure the quality of a the whole array of balls in play, not just line drives.

    Comment by Temo — February 17, 2010 @ 11:09 am

  11. @glen

    I suppose a player like reyes would benefit somewhat from putting thbe ball on thbe ground. But these calcs are the average values of balls on the ground vs in the air. Reyes is far from tbhe average player, so (if his groundballs produce less outs than the avg player) he is an exception. Also, he wud benefit from hittin g more ld’s himself

    Comment by lee d — February 17, 2010 @ 11:18 am

  12. Reyes has an OBP of .272 and an Iso of .03 on ground balls, compared to a league average of .235 OBP and .02 Iso.

    His fly balls go the opposite way, with an OBP of .196 (.218 league average) and an Iso of .295 (.377 league average).

    Ichiro is even more skewed: .322 OBP/.016 ISO on ground balls vs. .153/.195 on flyballs.

    They’re both just a certain type of hitter where ground balls are more productive than fly balls.

    Comment by Temo — February 17, 2010 @ 11:36 am

  13. Basically, limited power, but lots of speed.

    Comment by B — February 17, 2010 @ 12:11 pm

  14. HITf/x data would give you a decent estimate of hang time. Some teams are using this data, unfortunately it’s not available to the public yet except for a small sample from April 2009.

    Trackman measures the hang time, and the whole trajectory for that matter, very accurately. It’s also not available to the public.

    Comment by Mike Fast — February 17, 2010 @ 2:37 pm

  15. Matthew, a question regarding run expectancy. Do you use an average change in run expectancy over the whole 24 base-out situations, or do you calculate the change from the frequency of the different states that an average hitter would face? In other words, a hitter would certainly face more no on, no out base states than bases loaded, for example. Certain base states would come up more often than others.

    I hope I worded that in a way that made sense.

    Comment by Nathaniel Dawson — February 17, 2010 @ 5:46 pm

  16. Also a significant amount of bat control and a propensity for bunting, both of which complement their skillsets.

    Comment by Kevin S. — February 17, 2010 @ 5:48 pm

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