Archive for Shift Effect

I’m a dweller in general. In slow drafts, I am the ultimate dweller. In the past, I would have ten+ tabs open at a given time when my draft slots were approaching: FanGraphs player profiles; RotoGraphs consensus rankings; Brooks Baseball Player Cards; BP’s PITCHf/x leaderboard; Rotoworld player news; the list goes on.

Then, prior to draft season, Jeff, Eno and I worked on these Arsenal Scores so that you can compare pitcher repertoires. You now have a go-to pitcher matrix if you’re dwelling on a cluster of pitchers.

Last week, Jeff Zimmerman furnished this glorious Hitter Analytics post, which provided us with a go-to hitter matrix when we’re dwelling on a cluster of hitters.

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Here is Travis d’Arnaud before he was sent down on June 8th: .180/.271/.273/.241 (BA/OBP/SLG/wOBA).

Here is TDA after his return: .269/.315/.481/.346. He also tore it up (again) at Triple-A.

Here is TDA from August fifth onward: .280/.335/.510/.369. Yan Gomes, FYI, went .278/.313/.472/.340 albeit for the season.

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It’s official. 100% of my value is bothering @jeffwzimmerman to run data and then use that data for said content. I did just that this morning for updated shift data. I believe the last time he posted related content on RotoGraphs was here back in May looking at: Early Hitter Shift Data.

It was because of this post and his balls in play (groundball and pop-up rates) that led me to believe Albert Pujols was going to drop off/continue his downward trend. I guess I pushed out the fact that he was the best hitter of his generation. While the .375 BABIP (from the above link) against shifts did not last, he’s at a very respectable .284. Between this and additional discipline (best contact rate since 2008 and hacking less at stuff outside of the zone), he is able to hover around a .280 BA, which remains elite in conjunction with 30HR, 90R and 100+RBI.

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