Saves Aren't Very Predictive 2011
R-squared shown for LOLs.
Digging around the "so obvious it hurts" saber-shelves today and figured you guys might like random shot at just how varied the spread on closer success has been in 2011. This data set is a scrape from Fangraphs and includes the top 35 relief pitchers with a save, and is set against their various corresponding FIP scores.
Huston Street is the obvious red flag with a higher FIP than all but four pitchers in this set. Craig Kimbrel is having a great year, and Papelbon has been effective despite not closing the deal on the "save." That said, if I'm Jonny Venters, I'm pissed for selfish reasons -- stuck setting up Kimbrell, his 2.13 FIP beats out Joel Hanrahan's 2.22 but has 20 less saves to show for it.
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You’ve given Mr. Kimbrel an extra “L.”
Billy Hayes: His job is better than yours.
@productiveouts | Productive Outs
An extra "L" for sheer ridiculousness, maybe?
Yes, my real name is actually Satchel.
I'm a columnist for Beyond the Box Score and a writer for MLB Daily Dish.
Oh, I'm on Twitter, too.
by Satchel Price on Jun 29, 2011 8:55 PM EDT via mobile up reply actions
Thanks for the heads up.
Managing Editor at Beyond the Box Score and MLB Daily Dish. Follow me @justinbopp
by Justin Bopp on Jun 29, 2011 10:13 PM EDT up reply actions
That R² really is comical.
I’d love to see more graphs like this correlating (or, in this case, “correlating”) other performance metrics like K/9, WHIP, and even ERA.
Not that I think saves are a good stat at all but,
wouldn’t it be a lot more useful to look at say save% instead of number of saves.
I'm not sure i understand the R squared...
could someone explain it?































