Probabilistic Model of Range, Defense Behind Pitchers

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 Probabilistic Model of Range, Defense Behind Pitchers  Links7
One thing PMR can measure is the luck of pitchers by looking at the predicted DER and actual DER behind them. The following table rates pitchers with at least 300 balls in play against them: Probabilistic Model of Range, Defense... [link]

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PMR’s Flukiest Pitchers in 2007
Published 11/6/2007 by Sky at skyking162
... Dave Pinto just started his series on 2007 fielding using his play-by-play system (Probabilistic Model of Range — PMR). Today he posted rating of the fielding behind every pitcher with at least 300 balls in play. This is a great opportunity to discuss another aspect of fielding that’s too often ignored: its ability to cloud our opinions of pitchers. ...

PMR on the Reds
Published 11/13/2007 by Justin at On Baseball and the Reds
... Also interesting are his estimates of fielding behind pitchers, which can be considered a more precise way of assessing BABIP (or DER, depending on your preference) because it considers hit location, batted ball type, etc: ...

The Consolation Prize
Published 11/14/2007 by Chris Needham at Capitol Punishment
... were at the bottom of the league. On a rate basis (and not really accounting for the small sample) Cristian Guzman was the worst in the league. Felipe Lopez was the worst regular SS in the NL. (Strangely, two former Nats also pollute the bottom of the rankings: Josh Wilson and Brendan Harris). By this measure, if the Nats had had a league average SS, they'd have made about 30 more plays, roughly 25 fewer runs over the course of the season. He also took a look at defense behind the pitchers . Mike Bacsik pops up as one of the pitchers most aided by the gloves behind him. Given ...

Not Livan Hernandez
Published 11/16/2007 by billfer at The Detroit Tiger Weblog
... off an age 32 season in which he only struck out 3.96 batters per 9 innings and walked 3.48. He allowed 34 homers last year. Granted, Arizona is an easier place to hit homers with a park factor of 115 (15% easier to hit homers there than an average park), but the other numbers don’t paint a pretty picture. His FIP last year was a replacement level-esque 5.73. And if you’re wondering about the defense behind him, his fielders were a hair better than average last year. Using PMR, they converted 6 more balls in play into outs than would be expected. ...

Scott Olsen the Ace
Published 12/17/2007 by craig <info@fishstripes.com> at FishStripes: Front Page Posts
... Of course it didn't help that Olsen received the worst supporting defense behind him of any pitcher in the major leagues who had 300 balls in play last season. ...

A Bunch Of Stuff
Published 12/21/2007 by Jeff <jbingham@gmail.com> at Lookout Landing: Front Page Posts
... The equivalent line drive rates between both Towers and Silva seems to go against that suggestion, but better yet, I bring you PMR data. Based on things like batted ball location and velocity, Carlos Silva's "expected" rate of BIP being turned into outs last year was 68.5% (this is under the column 'Predicted DER'). For Josh Towers, it was 67.5%. Silva is better, yes, but only by ~6 hits over a full season. That's not much. The "Towers just gives up screamer after screamer" point doesn't appear to hold much water. ...

Third Baseball Blog Blast
Published 1/24/2008 by davidbloom at BaseballHappenings.com
... 2007 Team PMR 2007 P PMR 2007 C PMR 2007 1B PMR 2007 2B PMR 2007 3B PMR 2007 SS PMR 2007 CF PMR 2007 RF PMR 2007 LF PMR ...

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