2009 Pirate Pitching
For years pitchers have been evaluated based upon their win-loss record. More advanced mainstream metrics include ERA and WHIP. None of those tell the whole story about a pitcher though; win-loss record relies upon a team's offense, bullpen, and defense. ERA at least removes offense from the equation, and WHIP takes out the bullpen. None of these stats attempt to remove defense though. When evaluating pitchers, we should be interested in their ability independent of defense. I'd like to use a variety of defense-independent pitching stats to evaluate the 2009 Pirates.
There are a variety of stats that attempt to remove defense from the equation in measuring a pitcher's performance. Nate Silver of Baseball Prospectus fame derived QERA which uses a pitcher's strikeout rate, walk rate, and GB/FB ratio. Tom Tango's FIP switches out GB/FB ratio in favor of home run rate. The Hardball Times took FIP a step further with xFIP when they attempted to normalize home run rates, as it is believed that pitcher's have little control over their home runs once you account for their fly-ball rates. Lastly tRA is similar to FIP but looks at the character of batted-balls (groundballs, fly-balls, and line drives). Generically all 4 of these stats can be referred to as defense-independent pitching stats (DIPS).
You could make a decent argument for using any of these stats, but I won't do that here. Instead I'll take the average of all 4 in my analysis. If we are to use an average we should first make sure that all components are on the same scale, and it turns out that QERA, FIP, and xFIP are all on the same familiar scale as ERA. Since tRA is on the scale of runs allowed (RA), we can multiply by .92 to put it on the ERA scale. This wouldn't be much of a sabermetric post if I didn't come up with some sort of goofy acronym/name for this stat, so I'll call this average of several defense-independent pitching stats SuperDIPS. Thus SuperDIPS = (QERA + FIP + xFIP + (0.92*tRA)) / 4.
I'll begin with the pitcher who appeared to many to have the best season of any Pirate starter in 2009: Ross Ohlendorf. He led the starting rotation with an 11-10 record, 3.92 ERA, and 1.23 WHIP, so many would claim that he was the best according to the stats. However, SuperDIPS tells a radically different story. His FIP was 4.72, his xFIP was 4.74, his tRA was 5.14, his his QERA was 4.75. All 4 stats tell almost the exact same story, and in turn his SuperDIPS is 4.73. That is solidly below-average across the board. Now that is above replacement-level for an MLB starter, but it's nowhere near the level that he appeared to play at based upon more mainstream stats. I know a lot of Pirate fans are very optimistic about Ohlendorf and thought that he was one of the few bright spots on this team, but I believe he still has a long way to go if he is to be an above-average MLB starter. The results for the Pirates top 4 starters this year are in the following table:
| Name | ERA | FIP | xFIP | QERA | tRA | SuperDIPS |
| Ross Ohlendorf | 3.92 | 4.72 | 4.74 | 4.75 | 5.14 | 4.73 |
| Zach Duke | 4.06 | 4.24 | 4.42 | 4.69 | 5.03 | 4.49 |
| Paul Maholm | 4.44 | 3.83 | 4.28 | 4.54 | 4.29 | 4.15 |
| Charlie Morton | 4.55 | 4.15 | 4.73 | 4.92 | 4.56 | 4.50 |
It appears that Paul Maholm was actually the best Pirate starter in 2009. Many thought this season to be a disappointment for him, but he was solidly above-average. In fact, you can pretty much flip the results of Maholm and Ohlendorf for them to align with public opinion. Duke was very mediocre (nothing really new there), and Morton was very similar in much less playing time.
I'm not saying that SuperDIPS is better than any of those stats individually, but different variants of DIPS sometimes tell slightly different stories. Rather than analyzing the strengths and weaknesses of each one, I thought it would be interesting to just combine them all into one. The main thing to take away from the Pirates' perspective is that we can expect Maholm to be pretty decent next year while we actually need to look for a lot of improvement from Ohlendorf for him to be the #2-#3 type starter that a lot thought he was in 2009.
(This post originally appeared on my sabermetric website).
This is a FanPost and does not necessarily reflect the views of the managing editor (Charlie) or SB Nation. FanPosts are written by Bucs Dugout readers.
11 comments
|
1 recs |
Do you like this story?
Comments
Maholm wasn’t the Pirates best starter, but he was pretty consistently reliable to not turn in a total stinker of a start. He has a lot of potential, and I hope he’s not jettisoned at the deadline next summer.
Starting rotation should look like this, IMO:
Ohlendorf, Duke, Maholm, Morton, D-Cutch.
Hart can move to the pen, and someone can be moved once Lincoln makes his way to PNC.
No offense, but did you really read anything I wrote? I posted a bunch of stats showing how below-average Ohlendorf has been, and you completely ignore that and proclaim him the #1 anyway. If you disagree then please provide some analysis rather than just making unsupported assertions.
Ohlendorf is the best, he has the lowest ERA.
And Andy LaRoche was clearly the best hitter, he had the most RBIs.
by IAPiratesFan on Oct 11, 2009 3:56 AM EDT up reply actions
Sorry for the late reply. Yes, I did read your post. I do think Ohlendorf is the one or two starter next year, yeah. Sorry for not stating it out front before plugging him in there.
The stats and analysis you gave were fine, but I’m not a stats guy with pitchers as much as with hitters. There’s a more human element to judging a Major League pitcher, I think.
by Suffering Buc on Oct 12, 2009 5:53 PM EDT up reply actions
I agree with Mickeyg13...
by the stats Maholm was the best starter. And take into consideration that he played hurt all year. The one thing I think is misleading about Ohlendorff is that midseason Kerrigan made an adjustment to his delivery that enabled him to add velo to his fastball while maintaining his command. I would love to see the advance metric splits on Ross because I believe he was much better in the 2nd half and his overall stats are brough down by his 1s thalf performance. On the other two, we need to sell high on Duke and there is reason for optimism with Morton. Very nice post.
Thanks, nice post
I’m trying to figure out exactly what makes Duke’s and Mahlom’s stats clearly better than Ohlendorf’s according to these metrics. I usually just go to Baseball-reference.com to look up a players stats, but I don’t see the ones you write about there. Can you suggest a site that will show exactly why Oh comes out worse in these?
I can understand how defense-independent pitching stats would make sense if you were comparing guys who are on different teams, but all of these guys had the Pirate defense behind them. Do these stats suggest that the Buc defense played well when Oh was out there but poorly when the other three pitched?
FanGraphs is a terrific resource for sabermetric stats, and both FIP and tRA can be found on a player’s page there. For instance, here is Maholm’s: http://www.fangraphs.com/statss.aspx?playerid=8678&position=P#advanced
BaseballProspectus hosts QERA (try http://www.baseballprospectus.com/statistics/sortable/index.php?cid=520084 ), and TheHardballTimes hosts xFIP (http://www.hardballtimes.com/thtstats/main/player/8678/ )
Let’s look at Ohlendorf vs. Maholm to get an idea about these things. So K rate and BB rate are huge components to stats like these. Ohlendorf and Maholm are pretty similar on these fronts: Ohlendorf has 5.55 K/9 and 2.7 BB/9 vs 5.50 and 2.77 respectively for Maholm. It’s actually hard to get closer than those. However, Maholm was quite good at preventing home runs (0.65 HR/9) while Ohlendorf was clearly below average (1.27 HR/9). Those three pieces are what comprise their respective FIP values, so the real difference is the longball.
One of the main reasons for this discrepancy is the character of their batted balls. Maholm is quite good at inducing ground balls (52.1 GB%), and it’s rather difficult to get a home run on a grounder. Ohlendorf is much more average at 40.6%. He “makes up” for this with a high 42.1% FB% to Maholm’s 29.9%. It turns out that basically an average portion of Ohlendorf’s flyballs went for home runs, so that’s why his xFIP is almost identical to his FIP. Maholm was actually much lower on HR/FB, so xFIP normalizes this and thus sees him worse than xFIP. QERA and tRA also use this batted ball data to get similar results.
As for the defense, I don’t see why we should expect them to be the same for each pitcher on a team. We know that some pitchers on a team happen to receive much better run support for no apparent reason, so it seems sensible that the same phenomenon would exist for defense. Also note that effectively these stats are normalizing for the timing of events as well. ERA knows the difference between BB, BB, then HR and HR, BB, then BB. Most DIPS are intentionally ignorant of such timing as they tend to believe they are not really repeatable skills.
The other big thing helping Ohlendorf this year...
…is good bullpen support. The pen stranded 76.3% of his inherited runners, which is a pretty high rate, and not something we can count on sustaining in future seasons.
Still, a true-talent performance in the high 4s has value, and is better than I expected us to ever get out of him at this time a year ago.
One encouraging thing about Ohlendorf’s performance that everyone will point to was his strong post-ASB numbers (2.83 ERA). I did my own math and calculated his post-ASB FIP to be 4.82. Pre-ASB (4.64 ERA) I’m coming up with 4.62 FIP. According to these numbers he was actually worse after the All Star Break. Weird.
Note that when I say “worse” I just mean the number’s higher. He was basically the same.
Also, I use FIP and FIP only here because it’s a very easy calculation that you can do in about 30 seconds. I don’t know if there are any sites that will break the numbers down into first half and second half on their own, I didn’t see one.

by 














