Have the A's been the victims of a tough schedule?
Disclaimer: This is a long post, with a lot of text, and some charts that require interpretation. It also has ambiguous conclusions, because of some hard-to-account for errors. There's a solid chance you will feel this is a waste of your time. I do believe it can provoke good conversation, and I also want to post this anyway, since I did it. Please do skip this if you don't want to think about it. Thanks.
The A's have played some good teams, including Toronto, Tampa Bay, Boston, New York, Texas, and the Angels. These teams may represent a stronger early schedule than typical for the AL. On top of that, with injuries, call ups, and random luck, each player on the A's has faced an extremely varying set of opposing batters and pitchers. For example, Anderson has pitched against tougher lineups than Cahill.
When we evaluate the performance of the A's personnel, we don't correct for "strength of schedule". For example, we look at Braden's .743 Allowed OPS, and think "Ok, above average". The AL average OPS is .766 in 2009. What we don't account for is the fact that the batters Braden has faced are actually averaging a .792 OPS so far in 2009, making Braden's pitching exceptionally good.
In this diary fanpost, I'm going to use Baseball Prospectus' data on the Average OPS of batters faced for our pitchers, and compare it to the OPS our pitchers have actually allowed. This will allow us to correct for the possibility that the A's have faced tougher lineups, and for the possibility that some A's have faced particularly tough tasks. I'll also do a similar analysis on the quality of pitching our hitters have faced.
The conclusions of the analysis (here ahead of time for clarity) are:
1. The A's have faced tougher than average (or hotter than average) lineups, and better than average opposing pitching.
2. Some A's pitchers performances thus far, such as Bailey, Braden, and Anderson are better than they appear, since they faced tougher opponents.
3. Cahill and Wuertz have faced below-average opposition, and thus are worse thus far than they appear.
4. Powell, Holliday, Ellis, and most of the A's lineup have faced exceptionally tough pitchers, making them look worse than they are.
5. Nomar was not as good as he appeared, as he faced weak opposing pitching.
Finally, these conclusions are seriously dependent on a few key assumptions. A list of these assumptions, and defenses of them, are in Comment #1 (in order to avoid bogging down here). I expect that AN will find many more flaws in this work than I cover in comment #1. On to the real analysis...
EVALUATING THE A's PITCHERS
So the first step in adjusting performance is to look at the how good the opposing batters each pitcher has faced have been in 2009. Below is a chart of the average OPS put up by opposing batters in 2009.
What this chart shows is that Trevor Cahill has faced below average batters in 2009. The players Cahill has pitched to have averaged a .75 OPS, whereas a league average OPS is .766. In contrast, most of the A's pitchers have faced extraordinarily good hitters/lineups. The biggest example is Andrew Bailey, whose opposing batters are putting up a .797 OPS, the equivalent of facing 2009 Ichiro in every single at bat.
Next, I take the OPS that the A's pitchers have actually allowed, and compare it to the league average OPS, as well as the OPS of the batters they faced. For Bailey, this meant calculating two values:
Differential relative to league average = .766 (league average) -.417 (OPS allowed thus far in 2009) = .349
Differential relative to opposing batters' normal OPS = .797 (OPS of Bailey's opponents in 2009) - .417 = .38
Thus, Bailey appears to have allowed an OPS .349 lower than the OPS an average pitcher would allow. BUT, given how good the batters he faced were, he actually saved .380 points of OPS.
A chart with the OPS differentials for each A's pitcher is below:
So what this chart shows is that Bailey, Casilla, Outman, Ziegler, and Braden have not only done better than average (blue bar = positive), but also done so against really tough lineups (red bar = bigger than blue bar). Wuertz has done above average, but not as far above average as one would think, since he faced easier than average lineups. Similar analysis for the below average pitchers. For example, Cahill appears to be .13 OPS points worse than average, but in fact was even worse, since he had a slightly easier than average set of opponents.
ANALYSIS OF THE A's LINEUP:
The cumulative 2009 OPS allowed by opposing pitchers for each A's hitter is shown in the chart below.
This shows that Powell has faced some really stingy pitchers, who are allowing only a .670 OPS thus far in 2009. In contrast, Nomar faced some relatively easy pitchers, who allowed a .781 OPS.
Next, we calculate the differentials, which show how the hitter compares relative to league average (blue), and relative to the OPS that the pitchers they face normally give up. (red). This is similar to the analysis for pitching above.
So Chavez has been atrocious, no matter how you put it :( . Holliday, Cust, Suzuki, and Kennedy have been above average. Holliday appears only average, but given he faced tougher pitchers, doing average (.766OPS) was a victory. His opposition usually gave up just a .710 OPS.
So, to conclude. The A's have faced tough competition. They have also been WAY below average in the lineup and the SP rotation. However, they are less below average than they appear, since they've faced a tough schedule. Thanks a lot if you've made it this far. I'm just trying to help AN waste even more of your time :)
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A few caveats
Assumption/Flaw #1: The A’s poor performance has actually made their opponent look tougher than they are. In other words, the schedule looks tough, only because their numbers are inflated by the fact that they played the A’s.
Defense: The season is 37 games in, and the A’s have played each team no more than 6 times.
Assumption/Flaw #2: Small Sample Size.
Defense: The point of this was not to predict the future. I am only evaluating what they’ve already done. It’s ok to look at one game and say X did well! The small sample makes it a bad predictor, but it’s still ok to evaluate the past.
I was going to make this more thorough, but then decided I look really stupid debating myself :)
I’ll add more as you guys explain the flaws better.
Another potential flaw, or two
park effects – the Coliseum is known to be pitcher friendly.
the A’s pitching is counted in the OPS stats, and is a decent fraction of our opponents stats. It would be better to remove the batter’s stats from A’s pitching to evaluate the ‘true stats’ vs average.
I thought about the coli effects
and here’s what I concluded: I could have messed with park factors, but it would have been a pain. Coincidentally, this should only shift the pitcher’s bars down, and the hitters up. It shouldn’t affect the difference between the red and blue bars since those numbers are all league wide. The only thing I varied between the red and blue bars is the baseline from which we evaluate an OPS. Should we use the league average OPS as a baseline, or the OPS of our opponents in 2009? That question is unaffected by the coliseum. So the thesis is unchanged. The A’s are slightly better than they look.
I think your second objection is my Assumption/Flaw #1. Removing the A’s contribution from the overall stats would have been impossible. The only reason this took 2 hours instead of 10 is because I used Baseball Prospectus’ ready made stat database.
Great post.
I love the charts. I love even more that you explain the logic of what you’re doing, rather than just throwing out acronyms and expecting me to remember what they all stand for. Recommended.
"Go ahead and overachieve, you scrappy Brett-Favre-colored walk-takers." —Rev Halofan
Haha, these would not be commonly known acronyms
Baseball prospectus calls the stat Opp_Qual_OBP and Opp_qual_SLG etc.
Agreed. Definitely good springboard for discussion
regardless of what one may conclude. Thanks for putting in the time to give us something concrete to talk from.
I like Cindi. A. She never pretends to know more than she does. B. She has unbridled enthusiasm for her "Hotties," and isn't afraid to show it. -IM4Oakgal
interesting post
I remember that last season Beane mentioned in an interview that the A’s had an easier schedule in the first half of the 2008 season than they would have in the second half. That was one of the things he considered when looking at their relatively good start, versus continuing with the rebuilding through trades during the season.
Sounds good ...
I buy it …
"It's for your own good. Big strong Devo knows whats best for Poppy" -- Mossback
ohmangoAs
thanks for typing it out so i didn’t have to
you’re dead on
This is really well done
One quick question: is the variation of pitching quality among teams greater than the quality within each team? I suspect that it might be greater within teams. That is, the gap between Team A and Team B is smaller than the gap between the #1 and #11 guy on Team A’s pitching staff.
I bring that up because while good hitting teams don’t force the league to put the Orioles on the schedule in May, good hitting teams do in fact force their opponents to use the crappiest pitchers on whatever team they’re playing — the last pitcher of two in the bullpen. If you knock out Cahill or Gallagher in the 2nd or 3rd, you get to hit off of Giese or Gio. If you knock out Sabathia or Burnett, you get to hit against whatever crap the Yankees have at the bottom of their bullpen. On the other hand, if you totally fail as an offense, you get to face Shields or Bedard for 9 innings.
Again, I think this is an excellent post, and it makes me very curious about how other teams in the league look right now.
"And Julio Franco is batting right-handed!" -- Wayne Hagin, A's radio play-by-play, mid-80s
On the other hand -- if you play competetive games, you'll draw the toughest relievers ...
and the A’s have played the second fewest 1 run games in the AL … (not a perfect measurement, but should be a reasonable estimate)
Relievers, as a whole, also tend to have better numbers than starters. That the A’s have, to this point, have accomplished so little with the bat, presumably means they’re opposition’s starters have gotten more innings than expected … which would, presumably, hurt their stats.
"It's for your own good. Big strong Devo knows whats best for Poppy" -- Mossback
Interesting
If I understand you correctly, your argument is that because the A’s are bad, they don’t blow people out, and since they don’t blow people out, they never get to feast on scrubs. Feasting on scrubs would make their opposing pitchers look more daunting.
I think you’re onto something good. My thought: Defining a blow-out as a win or loss by more the 5 runs, I count the A’s as having 5 blowout wins, and 4 blowout losses. I don’t know what the “normal” blowout rate is league-wide, but if this is a normal amount, then blowouts have no effect on the data above. That’s because the “league-wide average” OPS includes blowouts (obviously)
I might not be understanding your argument…
MLB-wide, 29% of games have been decided by 5 or more runs ... 28% of A's games have been ...
"It's for your own good. Big strong Devo knows whats best for Poppy" -- Mossback
Did you go to BP?
I should have…I know they have that stuff.
Thanks!
I'm not sure if it relies on score differential
it might be more a matter of the number of runs scored.
A game that ends 11-10 is likely to involve lots of relievers, and if the scoring is early, lots of crappy ones, meaning that you’re facing high-OPS-against pitchers because you’ve driven better pitchers off the mound. On the other hand, if you lose 6-0 (especially without many baserunners), the other team might just let the starter breeze through 9, or at least 8. Of course, they could also use that as a chance to let some scrub finish up, letting your lineup face another high-OPS-against pitcher.
"And Julio Franco is batting right-handed!" -- Wayne Hagin, A's radio play-by-play, mid-80s
Gotcha.
Still comes down to the question of whether the A’s have a disproportionate number of high-scoring games. I can check on BP, but I’ll do it later (if at all) because I’m lazy right now.
Yeah, my guess is that in this particular situation the sample size is still too small
Maybe one way to measure would be quality-starts-against. I’d bet by the end of the season there’s a big discrepancy between the top offensive teams and the bottom ones in that stat. A non-quality start might be 7IP/4R, but I think it’s probably more likely to be 5.1IP/3+R, making it a decent stand-in for “crappy-middle-relievers-faced”.
Also, none of this can or should be adjusted for ballpark effects. In a Rangers/A’s series, good pitchers are more likely to get knocked out early in Arlington than in Oakland, so a team that plays in Arlington is probably more likely to face 4+ bullpen innings in a given game than a team that plays in the Coliseum.
"And Julio Franco is batting right-handed!" -- Wayne Hagin, A's radio play-by-play, mid-80s
AN 3.0
I just want to throw a shout-out to the SBNation interface.
I don’t have a lot of experience with blogposts, but the AN Fanpost tool is amazing. For example, I was able to resize the charts online, while writing. (the charts I uploaded were smaller). I previewed multiple times. etc.
I find the technical aspects of the website far and away the best blog platform I’ve ever seen.
Great stuff
With stout hearts, and with enthusiasm for the contest, let us go forward to victory. ----Hero Defector Montgomery
you forgot to make graphs for "care about winning" and "interest in soccer"
FREE KRAUT
A's v Giants "is kind of like the difference between going to see the Ramones and going to see the Bee Gees. A's fans will go see the Ramones."
-BB 07/27/05

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