Tm | Lg | YEAR | W | L | SV | Hld | G | GS | IP | H | HR | BB | SO | ERA | WHIP | Rating | BB/9 | SO/9 | BABIP | G/L/F % | $4x4 | $5x5 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
NYN | NL | 2006 | 2 | 1 | 0 | 0 | 8 | 6 | 38.0 | 34 | 4 | 22 | 19 | 4.26 | 1.47 | 1.34 | 5.2 | 4.5 | .254 | n/a | 1 | |
KC | AL | 2007 | 12 | 9 | 0 | 0 | 27 | 27 | 165.0 | 156 | 15 | 44 | 77 | 3.87 | 1.21 | 1.22 | 2.4 | 4.2 | .266 | n/a | 18 | 14 |
KC | AL | 2008 | 9 | 16 | 0 | 0 | 32 | 32 | 182.2 | 215 | 29 | 58 | 113 | 5.76 | 1.49 | 1.57 | 2.9 | 5.6 | .316 | n/a | -10 | -4 |
KC | AL | 2009 | 7 | 12 | 0 | 0 | 26 | 26 | 154.0 | 161 | 15 | 50 | 98 | 4.73 | 1.37 | 1.35 | 2.9 | 5.7 | .303 | n/a | 2 | 4 |
KC | AAA | 2009 | 0 | 1 | 0 | 0 | 3 | 3 | 13.0 | 12 | 1 | 1 | 8 | 3.46 | 1.00 | 1.08 | 0.7 | 5.5 | .277 | n/a | ||
KC | AL | 2009 | 7 | 12 | 0 | 0 | 26 | 26 | 154.0 | 161 | 15 | 50 | 98 | 4.73 | 1.37 | 1.35 | 2.9 | 5.7 | .303 | n/a | 2 | 4 |
KC | AAA | 2010 | 0 | 1 | 0 | 0 | 3 | 3 | 7.1 | 10 | 1 | 0 | 3 | 3.68 | 1.36 | 1.57 | 0.0 | 0.0 | .337 | n/a | ||
KC | AL | 2010 | 7 | 12 | 0 | 0 | 24 | 23 | 127.2 | 158 | 23 | 50 | 77 | 6.34 | 1.63 | 1.70 | 3.5 | 5.4 | .323 | n/a | -15 | -9 |
Career | 5yrs | 44 | 62 | 0 | 0 | 143 | 140 | 821.1 | 885 | 101 | 274 | 482 | 5.02 | 1.41 | 1.43 | 3.0 | 5.3 | .299 | n/a |
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Apr 16 '08
Apr 16 '08
I found it a facinating little read, and quite cool to see how, as a pitcher, Bannister integrates statistical research (and theories a la DIPS) into his approach in order to improve his game. Seems like an intelligent and thoughtful guy...enjoy.
(btw, I have no affiliation to mlbtraderumors.com)
Apr 16 '08
Further research has refined DIPS and does suggest that some pitchers do have some impact on BIP Avg, but very few.
Apr 16 '08
And then words from Bannister:
"I think a lot of fans underestimate how much time I spend working with statistics to improve my performance on the field ... I don't claim to be able to beat the .300 (H/BIP) average year in and year out at the Major League level. However, I also don't feel that every pitcher is hopelessly bound to that .300 number for his career if he takes some steps to improve his odds -- which is what pitching is all about."
My initial reaction is to sound the phoney balogna alarm. Ok, so the article goes on to state the purposefuly tries to manipulate his H/BIP with pitch selection and the induction of weak swings in two-strike counts. But doesn't this lead to the argument about how much control the pitcher has over BIP?
Apr 16 '08
Um, unless you actually do play with innings. Then they're the 10th category.
Feb 18 '08
Jan 26 '08
Dec 19 '07
Dec 18 '07
Dec 18 '07