Pitching by the Numbers: Baffling the best
It's an axiom that most of baseball (75 percent) is pitching and thus we are all conditioned to believe that ultimately pitchers control outcomes when it comes to the matchups versus hitters.
But the conventional wisdom is wrong. There's little debate among statheads that it's hitters who generally have the most influence over what happens in an at bat. The trick is to isolate the exceptions to the rule – the pitchers who through their talent take most control over their pitching destiny.
A simple way to identify these pitchers, I think, is to look at how they perform against No. 3 hitters – since most teams place their best hitter in that spot. Last year, No. 3 hitters MLB-wide sported an on-base plus slugging percentage (OPS) of .805 vs. the MLB average of .720 (No. 4 hitters compiled a .791 OPS). Of course, there are sample size caveats and some pitchers, due to unbalanced schedules, faced weak-hitting teams that also have relatively weak-hitting No. 3 hitters. Still, I'd much rather bet on pitchers who dominated No. 3 hitters versus those who were dominated by them.
Following are the pitchers who had the most success versus opposing No. 3 hitters in 2011. The qualifications are 0.31 No. 3 batters faced per team game.
Player | Team | AB | AVG | OBP | SLG | OPS | BABIP |
Tex | 80 | .163 | .253 | .175 | .428 | .213 | |
Bos | 42 | .119 | .269 | .214 | .484 | .132 | |
Oak | 94 | .191 | .248 | .245 | .492 | .233 | |
ChC | 87 | .161 | .240 | .276 | .515 | .194 | |
LAD | 100 | .210 | .262 | .260 | .522 | .286 | |
LAA | 101 | .178 | .224 | .347 | .571 | .197 | |
Atl | 96 | .188 | .243 | .344 | .586 | .177 | |
Mil | 85 | .176 | .247 | .341 | .589 | .162 | |
Tor | 98 | .184 | .266 | .327 | .593 | .208 | |
Atl | 57 | .175 | .266 | .333 | .599 | .211 | |
Cin | 79 | .203 | .238 | .367 | .605 | .217 | |
Tex | 77 | .208 | .256 | .351 | .607 | .237 | |
Sea | 81 | .259 | .286 | .321 | .607 | .345 | |
Mil | 76 | .224 | .280 | .329 | .609 | .278 | |
Phi | 93 | .204 | .267 | .344 | .611 | .236 | |
Phi | 56 | .232 | .308 | .304 | .611 | .295 | |
NYM | 74 | .189 | .302 | .311 | .613 | .203 | |
Oak | 90 | .189 | .295 | .322 | .617 | .211 | |
StL | 92 | .217 | .263 | .359 | .621 | .257 | |
Cin | 65 | .231 | .333 | .292 | .626 | .275 |
Wow, Harrison. His K-rate is too low for most shallower, Yahoo! formats. But if you are not innings capped, this is certainly another reason to buy – along with the better than 2:1 K/BB ratio and scintillating 92.8 average fastball velocity from the left side.
Aceves is another good, cheap option in deeper, non-innings-capped formats given this stat and the fact that he's back in the rotation given the apparent demotion of Daniel Bard. But I caution you that his sample size in this category is on the smaller side. Leake similarly struggles with Ks and doesn't throw hard so it's harder to envision a bump there than it is even for Aceves, who is at least a tick above average for a righty.
People are down on Pineda, who has had a rough spring and looks to be carrying some extra weight. But if you need another reason to look into buying the only rookie in the history of baseball to average more than 9.0 Ks per nine innings and less than three walks, here you go.
Gee is just an NL-only play, but a good, cheap one if only for this reason (and there are others). And I'm a Cueto fan because he held top-shelf velocity last year. This dominance of the best hitters further suggests that his decline in Ks may have been by his design, which of course doesn't help us but at least provides hope that his rate can bounce back to more rosterable levels.
Note that Cliff Lee ranked 27th but had 32 Ks and just two walks in 109 plate appearances versus No. 3 hitters, which is sick.
Conversely, the pitchers who were dominated by No. 3 hitters seem reasonably to be less skilled and thus more likely to be controlled by the hitter. There are not many surprises here, which is good as it lends credence to the metric and makes outliers more meaningful.
Player | Team | AB | AVG | OBP | SLG | OPS | BABIP |
ChC | 46 | .413 | .481 | .870 | 1.350 | .378 | |
LAA | 62 | .403 | .494 | .758 | 1.252 | .396 | |
Hou | 70 | .386 | .482 | .714 | 1.196 | .426 | |
SD | 62 | .371 | .418 | .726 | 1.144 | .391 | |
Cin | 49 | .327 | .431 | .694 | 1.125 | .375 | |
LAA | 62 | .355 | .411 | .694 | 1.105 | .347 | |
Phi | 51 | .353 | .364 | .706 | 1.070 | .326 | |
Bos | 75 | .373 | .467 | .6 | 1.067 | .400 | |
SD | 78 | .372 | .417 | .641 | 1.058 | .391 | |
NYY | 66 | .318 | .432 | .621 | 1.053 | .320 | |
SD | 84 | .345 | .402 | .643 | 1.045 | .365 | |
Pit | 71 | .338 | .390 | .648 | 1.037 | .317 | |
Det | 90 | .311 | .361 | .667 | 1.027 | .308 | |
Fla | 85 | .388 | .448 | .576 | 1.024 | .420 | |
Pit | 67 | .343 | .427 | .582 | 1.009 | .357 | |
CWS | 51 | .412 | .434 | .569 | 1.003 | .463 | |
KC | 87 | .368 | .415 | .586 | 1.001 | .411 | |
Ari | 95 | .347 | .386 | .611 | .997 | .342 | |
NYM | 90 | .311 | .347 | .644 | .992 | .328 | |
SD | 53 | .302 | .350 | .642 | .992 | .244 |
This is another reason to dislike Scherzer, who still has some buzz about him as someone who can be a part of a shallow-league championship puzzle. I don't see that at all. Ditto Vazquez and Peavy (who I need only the slightest reason to steer clear of). I must note that Jeremy Hellickson, who has been positively highlighted in my two prior pieces ranks 24th worst on this list.
To broaden the sample size, how about we look at the results for the past three years:
Player | AB | AVG | OBP | SLG | OPS | BABIP |
203 | .197 | .257 | .271 | .528 | .253 | |
110 | .191 | .308 | .273 | .58 | .235 | |
198 | .207 | .300 | .293 | .592 | .264 | |
Clayton Kershaw | 269 | .216 | .286 | .312 | .598 | .291 |
206 | .223 | .321 | .286 | .607 | .304 | |
Zack Greinke | 276 | .221 | .279 | .333 | .612 | .276 |
146 | .233 | .278 | .336 | .613 | .274 | |
Tim Hudson | 210 | .205 | .280 | .343 | .623 | .213 |
149 | .228 | .280 | .349 | .629 | .256 | |
200 | .255 | .320 | .310 | .630 | .336 |
The takeaway here is to grab Hernandez now as a closer-in-waiting for when (not if) J.J. Putz goes down (again).
Michael Salfino (Twitter @MichaelSalfino) is a quantative sports analyst whose writing regularly appears in the Wall Street Journal.