The other day, I discussed predicting pitchers’ strikeout rates using xK%. I will conduct the same exercise today in regard to predicting walks. Using my best intuition, I want to see how well a pitcher’s walk rate (BB%) actually correlates with what his walk rate should be (expected BB%, henceforth “xBB%”). Similarly to xK%, I used my intuition to best identify reliable indicators of a pitcher’s true walk rate using readily available data.
An xBB% metric, like xK%, would not only if a pitcher perennially over-performs (or under-performs) his walk rate but also if he happened to do so on a given year. This article will conclude by looking at how the difference in actual and expected walk rates (BB – xBB%) varied between 2014 and career numbers, lending some insight into the (un)luckiness of each pitcher.
Courtesy of FanGraphs, I constructed another set of pitching data spanning 2010 through 2014. This time, I focused primarily on what I thought would correlate with walk rate: inability to pitch in the zone and inability to incur swings on pitches out of the zone. I also throw in first-pitch strike rate: I predict that counts that start with a ball are more likely to end in a walk than those that start with a strike. Because FanGraphs’ data measures ability rather than inability — “Zone%” measures how often a pitcher hits the zone; “O-Swing%” measures how often batters swing at pitches out of the zone; “F-Strike%” measures the rate of first-pitch strikes — each variable should have a negative coefficient attached to it.
I specify a handful of variations before deciding on a final version. Instead of using split-season data (that is, each pitcher’s individual seasons from 2010 to 2014) for qualified pitchers, I use aggregated statistics because the results better fit the data by a sizable margin. This surprised me because there were about half as many observations, but it’s also not surprising because each observation is, itself, a larger sample size than before.
At one point, I tried creating my own variable: looks (non-swings) at pitches out of the zone. I created a variable by finding the percentage of pitches out of the zone (1 – Zone%) and multiplied it by how often a batter refused to swing at them (1 – O-Swing%). This version of the model predicted a nice fit, but it was slightly worse than leaving the variables separated. Also, I ran separate-but-equal regressions for PITCHf/x data and FanGraphs’ own data. The PITCHf/x data appeared to be slightly more accurate, so I proceeded using them.
The graph plots actual walk rates versus expected walk rates. The regression yielded the following equation:
xBB% = .3766176 – .2103522*O-Swing%(pfx) – .1105723*Zone%(pfx) – .3062822*F-Strike%
R-squared = .6433
Again, R-squared indicates how well the model fits the data. An R-squared of .64 is not as exciting as the R-squared I got for xK%; it means the model predicts about 64 percent of the fit, and 36 percent is explained by things I haven’t included in the model. Certainly, more variables could help explain xBB%. I am already considering combining FanGraphs’ PITCHf/x data with some of Baseball Reference‘s data, which does a great job of keeping track of the number of 3-0 counts, four-pitch walks and so on.
And again, for the reader to use the equation above to his or her benefit, one would plug in the appropriate values for a player in a given season or time frame and determine his xBB%. Then one could compare the xBB% to single-season or career BB% to derive some kind of meaningful results. And (one more) again, I have already taken the liberty of doing this for you.
Instead of including every pitcher from the sample, I narrowed it down to only pitchers with at least three years’ worth of data in order to yield some kind of statistically significant results. (Note: a three-year sample is a small sample, but three individual samples of 160+ innings is large enough to produce some arguably robust results.) “Avg BB% – xBB%” (or “diff%”) takes the average of a pitcher’s difference between actual and expected walk rates from 2010 to 2014. It indicates how well (or poorly) he performs compared to his xBB%: the lower a number, the better. This time, I included “t-score”, which measures how reliable diff% is. The key value here is 1.96; anything greater than that means his diff% is reliable. (1.00 to 1.96 is somewhat reliable; anything less than 1.00 is very unreliable.) Again, this is slightly problematic because there are five observations (years) at most, but it’s the best and simplest usable indicator of simplicity.
Thus, Mark Buehrle, Mike Leake, Hiroki Kuroda, Doug Fister, Tim Hudson, Zack Greinke, Dan Haren and Bartolo Colon can all reasonably be expected to consistently out-perform their xBB% in any given year. Likewise, Aaron Harang, Colby Lewis, Ervin Santana and Mat Latos can all reasonably be expected to under-perform their xBB%. For everyone else, their diff% values don’t mean a whole lot. For example, R.A. Dickey‘s diff% of +0.03% doesn’t mean he’s more likely than someone else to pitch exactly as good as his xBB% predicts him to; in fact, his standard deviation (StdDev) of 0.93% indicates he’s less likely than just about anyone to do so. (What it really means is there is only a two-thirds chance his diff% will be between -0.90% and +0.96%.)
As with xK%, I compiled a list of fantasy-relevant starters with only two years’ worth of data that see sizable fluctuations between 2013 and 2014. Their data, at this point, is impossible (nay, ill-advised) to interpret now, but it is worth monitoring.
Name: [2013 diff%, 2014 diff%]
- Chris Tillman: -0.76%, -1.51%
- Hisashi Iwakuma: +0.05%, -1.36%
- Jorge De La Rosa: +0.95%, -1.12%
- Julio Teheran: +0.43%, -1.13%
- Shelby Miller: +0.91%, +1.44%
- Wily Peralta: +0.29%, -1.46%
Miller is an interesting case: he was atrociously bad about gifting free passes in 2014, but his diff% was only marginally worse than it was in 2013. It’s possible that he was a smart buy-low for the braves — but it’s also possible that Miller not only perennially under-performs his xBB% but is also trending in the wrong direction.
Here are fantasy-relevant players with a) only 2014 data, and b) outlier diff% values:
- Alex Cobb: -0.58%
- Garrett Richards: -1.49%
- Jake Odorizzi: +1.04%
- Tanner Roark: -1.16%
- Tyson Ross: +0.78%
- Yordano Ventura: +1.34%
I’m not gonna lie, I have no idea why Cobb, Corey Kluber and others show up as only having one year of data when they have two in the xK% dataset. This is something I noticed now. Their exclusion doesn’t fundamentally change the model’s fit whatsoever because it did not rely on split-season data; I’m just curious why it didn’t show up in FanGraphs’ leaderboards. Oh well.
Implications: Richards and Roark perhaps over-performed. Meanwhile, it’s possible that Odorizzi, Ross and Ventura will improve (or regress) compared to last year. I’m excited about all of that. Richards will probably be pretty over-valued on draft day.
The stove is hot, people. HOT! And as Every Time I Die once said: I been gone a long time. Sorry about that. I finished the first term of my last year of graduate school. It was probably the hardest one, and it should be smooth sailing from here on out.
I’m also pretty proud of a research paper I just completed regarding the probability of future success of minor leagues. The results are robust and I couldn’t be more pleased. It was a school project, so I didn’t have time to make it nearly as complex as I would have hoped, but it’s something I plan to further investigate in the coming days, weeks, months, what-have-you.
Anyway, there is plenty of news flying around as well as plenty of analysis. I’ll do my best to recap, but surely I’ll miss some things:
- Jeremy Hellickson, Yasmani Tomas Allen Webster and Rubby de la Rosa to the Diamondbacks
- Nick Markakis and Shelby Miller to the Braves
- Hanley Ramirez, Rusney Castillo, Rick Porcello, Pablo Sandoval and Wade Miley to the Red Sox
- Jon Lester, Jason Hammel and Miguel Montero to the Cubs
- Jeff Samardzija, Adam LaRoche and David Robertson to the White Sox
- Brandon Moss to the Indians
- Yoenis Cespedes, Alfredo Simon and Shane Greene to the Tigers
- Andrew Heaney and Josh Rutledge to the Angels
- Jimmy Rollins, Howie Kendrick, Brandon McCarthy and Juan Nicasio to the Dodgers
- Dee Gordon, Mat Latos and Dan Haren to the Marlins
- Adam Lind to the Brewers
- Ervin Santana to the Twins
- Michael Cuddyer to the Mets
- Didi Gregorius to the Yankees
- Brett Lawrie and Billy Butler to the Athletics
- A.J. Burnett to the Pirates
- Matt Kemp to the Padres
- Nelson Cruz and J.A. Happ to the Mariners
- Jason Heyward to the Cardinals
- Josh Donaldson, Justin Smoak, Russell Martin and Marco Estrada to the Blue Jays
And I’m ignoring all the prospects involved as well. Marcus Semien, Austin Barnes, Jairo Diaz and others got shipped. I can only imagine a whole lot more action will be happening soon, as there still are teams with surpluses and deficits at all positions and some big-name free agents left on the market, including Max Scherzer and James Shields.
It is clear, however, that the Cubs and Blue Jays intend to more than simply contend. I would say the Marlins intend to as well, but I don’t even think they know what they’re doing, let alone we do. The White Sox are looking like a trendy sleeper with some key pitching additions (LaRoche is also an addition, but far from what I would call a “key” one), but they are far from a championship team.
But with so much more yet to happen, maybe it’s best to wait and see. There are obviously some ballpark and team-skill implications that will affect all these players’ projections, but I’ll get around to those in 2015.
I’ve finished my preliminary set of pitcher projections. I’ll share them but they’ll see some refining by the time March rolls around.
I’m also looking at how my projections fared last year. That will come in the next couple of days.
Keep your ear to the ground, people. Or to the stove. Never mind. Terrible idea. You’ll burn yourself. Just keep it to the ground.
This just in, folks: Corey Kluber leads all MLB pitchers in wins above replacement (WAR). The great thing about running your own website is you have full discretion to toot your own horn when you please. As much as I find it tacky to do so, I made bold predictions for a reason: to see if my projections are actually worth a damn. I just wish I had time to make more; I should have started early in the offseason as I ran out of time the longer the academic year has worn on. (I’m a graduate student, so publishing to this website is not always the most optimal use of my time. According to societal expectations, at least — I think it’s a great use of my time!)
Anyway, let’s revisit my bold predictions to discuss a) their accuracy thus far, and b) why they have (or have not) been accurate. Here they are, in chronological order:
Ross is ranked 31st of all starters, according to ESPN’s Player Rater. Instead of rehashing details, you can read the linked article to see why I glowed about Ross this offseason and have chosen him as a streamer several times already this year (before he gained more recognition and, consequently, more ownership). That he qualifies as a reliever in ESPN leagues is a huge plus as well. I readily admit it’s not insane for a random names to rank highly in the player rater; just check out the names around Ross’, including Alfredo Simon, Josh Beckett, Aaron Harang and Collin McHugh. Unlike the names I mentioned, though, I think Ross has the natural ability to stay there, given his strikeout propensity that limit the damage done by walks (which, by the way, is a problem nowhere near as bad as Shelby Miller‘s — I guess six wins will mask his atrociously bad WHIP that will blow up in his face sooner rather than later.) Ross is still available in 21 percent of ESPN leagues, so if he’s out there, you should grab him. Just don’t expect him to keep winning as often in front of that terrible San Diego offense.
As terribly as this prediction has turned out — Miller is batting .151/.230/.247 with 3 HR and 3 SB — I do not regret making it. Miller has struck out in 28 percent of his plate appearances, which is way, way worse than he ever was in Triple-A or even last year, when he struck out 17 percent of the time. It pains me deeply that The Triple Machine hasn’t hit a triple. Have I given up on him this year? Honestly, yes. His batting average on balls in play is grossly unlucky right now, but even regression to the mean won’t fix what his strikeout tendency has broken. But I still like him as a sleeper for next year, or even as a late bloomer this year. If he can demonstrate an improvement in his plate discipline as the year wears on, I will give him another chance. It upsets me, though, that he had such a hot spring. It fuels the fire of analysts who criticize spring training stats as unreliable. I agree, to an extent, but Miller’s spring stats were an extension of his 2013 season — albeit an extension inflated by some good luck. It’s worth emphasizing here that strikeouts really aren’t luck-based, so to say the his spring training was lucky is an ignorant dismissal.
Corey Kluber is this year’s Hisashi Iwakuma (aka big breakout candidate)
There’s one thing I, at least, can privately appreciate about my bold predictions: I abided by all of them in every single I’m in, unless someone happened to grab a pitcher before me. Ultimately, in four leagues, I grabbed Ross and Miller in four of them, and Kluber in three — and in the fourth one, I promptly traded Jayson Werth and Tyson Ross (who I drafted in the last round) for Norichika Aoki and Corey Kluber (this is a points league, so Aoki carries some value for his lack of K’s and contact approach). Did I win the trade? Who knows — I traded one guy I liked for another I liked more. Point is, I actually rolled with my bold predictions. Might as well eat my words, right? (Is that how that saying goes?)
I got Kluber in the equivalent of the last round in every draft and for $1 in my primary keeper auction league. Yes, I’m bragging. But, more importantly, this isn’t a revelation to me. I knew Kluber would be good based on last year’s peripherals, as did a host of other people on FanGraphs (namely, Carson Cistulli and the Corey Kluber Society). But a lot of people didn’t see it coming, which is crazy to me, and it makes me question what it really takes to become a paid professional “fantasy expert.” Tristan H. Cockcroft ranked Kluber 58th of starting pitchers this preseason, which is better than I expected, but look at some of the names above him: Matt Garza? Justin Masterson? Zack Wheeler? For a guy who invests so much in seeing an improvement in skills, Wheeler has been, for his entire career, buying up billboards to plaster them with slogans such as I HAVE CONTROL ISSUES. Kluber is essentially the antithesis of Wheeler. And, yet, who has the smaller track record? Ridiculous… (In Eric Karabell’s defense, he said pitching is so deep this year that owners may not be able to draft Kluber, which was a roundabout way of indicating he liked him, at least somewhat, heading into draft day.)
Anyway, I’m clearly on a rant, and I need to get this train back on the rails. Kluber is somehow not 100-percent owned at this point — he’s 99.9-percent owned, but hey, at least I’m not lying — yet he’s striking out everyone and their mothers. I don’t know if he continues to strike out 10 per nine innings (10.28 K/9), but the percentage of swinging strikes he has produced has jumped 1.4 percent, placing in the top 1o in the category, behind Max Scherzer and ahead of Madison Bumgarner. This is all a long-winded way of saying he could, and perhaps should, be a 200-K guy this year. In that sense, maybe he’s not a buy-low guy, but his lack of name recognition and his .350 BABIP makes him a prime candidate to be exactly that. A handful of rankings have him in the 35-to-40 range; even then, I can give you a case to trade perhaps a dozen names ahead of him for Kluber, including Gio Gonzalez, Matt Cain and, yes, maybe even Justin Verlander (who, at this point, is still owned in most leagues simply because of name recognition and past performance; and while I understand the importance of past performance, do not let yourself be blinded by nostalgia).
This one is random, but hey, it’s legit: Haren has only a 6.89 K/9 right now. You can read the linked post to find out way. I may rip him a little too hard — his control still makes him a fairly solid starter — but he’s more of a Kyle Lohse these days than, well, a Corey Kluber. Lohse is serviceable, but he’s not elite, and Haren should be able to net you an extra win or two along the way in front of a lethal Dodgers offense.
OK, that’s it. I’m 3-for-4 in my bold predictions so far this year, which is a pretty good day at the plate, so I’ll take it.
Also, the academic year is winding down, and once it winds down completely, Need a Streamer will ramp up with more content. Stay tuned, and thanks for reading.
The idea is simple: In a standard 10-team mixed league, an owner is allotted six spots to fill with starting pitchers. That relegates everyone else drafted No. 61 and higher to fantasy benches or free agency.
That doesn’t mean pitchers drafted outside the top 60 are worse than pitchers in the top 60. You can find good pitchers up until the 60th pick — heck, it’s the Brewers’ Marco Estrada, who has excellent control and solid strikeout numbers — but as many as a third of those 60 are risky are overvalued. Value bleeds into the late rounds and it’s worth figuring out who’s worth reaching for, despite pitchers with better ADPs (average draft positions) still on the board, and who’s worth waiting for.
I’ll discuss a handful of pitchers I like outside my top 60, in order of ESPN ADP.
John Lackey | ADP: 63rd
Lackey had a renaissance 2013, coming back from a lost 2012 and miserable 2011. The strikeout and walk rates were second-best and best of his career, respectively, and there’s little reason to think he’ll crumble overnight. He’s less risky than Dan Haren (about whom I’ve been vocal about my distrust), who is being drafted 49th of starting pitchers, or Dan Straily, going 56th, who is honestly mediocre. He’s enough to fill the back of your rotation, let alone a bench spot.
Alex Wood | ADP: 66th
Wood is a control artist, and the Braves simply know how to develop pitchers. Scouts and experts are excited about him; I don’t know why he’s not getting more draft love. He’s guaranteed a rotation spot, due to the rash of injuries to Atlanta starters, and should be more than serviceable.
Corey Kluber | ADP: 79th
I love Kluber.
Josh Beckett | ADP: 91st
Sources say he’s recovering well from his surgery. If he makes the Dodgers’ rotation and remotely resembles the Beckett of old, he’s a value.
Tyson Ross | ADP: 103rd
He absolutely dealt for the Padres last year. A reader mentioned he could be on an innings limit, but I would still ride him until he’s shuffled out of the rotation, and then simply find a replacement for him.
James Paxton | ADP: 105th
If the Royals’ Yordano Ventura is going 62nd on average, there’s no reason Paxton should be going outside the top 100 pitchers. Paxton doesn’t gas a 10o-mph heater like Ventura does but his strikeout and walk rates are very similar to Ventura’s.
Tyler Skaggs | ADP: 110th
Skaggs was a three-time top-100 prospect for Baseball America, peaking at No. 12 in 2013 (and No. 17 for Baseball Prospectus). It would be a mistake to write him off so soon after one bad season, especially with minor-league numbers better than those of Ventura or Paxton. His 2013 and current spring training numbers are an eyesore, though, so the repulsion is understandable. But, as I always say, he’s a name worth remembering.
Bold Prediction #3: Corey Kluber is this year’s Hisashi Iwakuma
Bold Prediction #2: Brad Miller will be a top-5 shortstop
Bold Prediction #1: Tyson Ross will be a top-45 starter (until he reaches his innings cap)
I’ve heard it through the grapevine: maybe Washington Nationals starter Dan Haren is due for a bounce-back season. In his defense, he recovered from the second-worst WHIP of his career, and his strikeout rate leaped back up to classic Haren at his peak. The problem lay in his propensity to give up home runs at an alarming rate. A blip on the radar, right? Eh…
First, the too-many-homers thing has been a problem for two years now, and it hasn’t really gotten better. Second, batters’ contact rate against Haren was the highest of his career last year. And in 2012? It was the second-worst. It’s an alarming trend, indicating that batters are squaring up his pitches better than ever before. It reinforces both the notion that home runs may continue to plague him as well as the following: last year’s strikeout rate was a fluke.
I have previously discussed the strong correlation between strikeouts per nine innings (K/9) and contact/swinging-strike rates. In it, I mentioned Haren in particular, whose PITCHf/x data predicted a strikeout rate closer to 7 K/9 than 8 — and it made sense, given his decreasing strikeouts (7.25 K/9 in 2011, 7.23 K/9 in 2012, 7.07 xK/9 in 2013) and increasing contact rates against him by hitters (79.3% in 2011, 80.9% in 2012, 81.0% in 2013).
Maybe Haren will recover and start missing more bats, but projections calling for a K/9 in the high 7’s is disconcerting to me. I’ll be bold and take the proverbial under: Haren is fully in decline, and his strikeout rate will reflect it in 2014.
Bold Prediction #2: Brad Miller will be a top-5 shortstop
Bold Prediction #1: Tyson Ross will be a top-45 starter (until he reaches his innings cap)
But there’s a more important reason to read about (and “join”) the Society. Kluber is not only a legitimate fantasy starting pitcher but also a very good one. His breakout last year was muted by a couple of bad starts, but he is a perfect comp to a 2012 Hisashi Iwakuma on the verge.
I will list a variety of statistics in which Kluber excelled. Then I will let you know whom he outperformed in each category for all pitchers with at least 140 innings pitched (1o7 total).
BAbip: .329 (6th worst)
Yowza. Those are some seriously stellar numbers. What’s the deal? Unfortunately for Kluber, he suffered a brutal outing or two, causing his WHIP and ERA to be inflated for most of the year and allowing him to fly under the radar. Chalk it up to bad luck, considering Kluber’s 6th-worst BAbip, better than only Joe Saunders, Dallas Keuchel and other names one wishes not to be associated with.
This sounds vaguely familiar. A high-control guy with a solid strikeout rate out of the bullpen? Does the name Hisashi Iwakuma ring a bell? It should, because he has already been mentioned several times in the last 300 words. Anyway, I rode the Iwakuma (and Bailey) wave through the end of 2012. Instead of going with my gut and drafting Iwakuma in the last round of my shallow draft in 2013, I opted for Marco Estrada — not a terrible pick, but clearly not the right gamble to take. It’s actually the moment upon which I reflected and realized that I should really just take my own advice. Because given Dan Haren‘s peripherals, why would anyone have trusted him over Bailey last year? Ridiculous. (FYI, I will rip on Haren in a forthcoming bold prediction, just to be clear that I’m not ripping on him because he gave up a million home runs last year.)
But I digress. Iwakuma was good in 2012, but his 7.25 K/9, 2.35 K/BB and 1.28 WHIP were all rather pedestrian. But sometimes you need to rely on your eyes more than the numbers, and anyone who watched Iwakuma saw flashes of brilliance. 2013 may have been more than we anticipated, which brings me to my point:
Kluber already has the makings of a great pitcher, and his peripherals indicate that none of it was a fluke. My official prediction: Corey Kluber will be a top-40 starting pitcher.
As much as it feels good to correctly bet on a bounceback, it sucks harder to be the guy who loses the coin flip. I looked at my 2012 standard 5×5 rotisserie auction draft and the list is, frankly, hilarious. The top 10 pitchers were:
- Clayton Kershaw ($32)
- Roy Halladay ($31)
- Justin Verlander ($26)
- Felix Hernandez ($26)
- Tim Lincecum ($24)
- Jered Weaver ($24)
- Cliff Lee ($23)
- Dan Haren ($21)
- Cole Hamels ($19)
- CC Sabathia ($19)
Wow. That was only two years ago. Half those names have fallen from grace — more than half if you’re in the camp that think last year was not an anomaly for Verlander and that we’ve reached the beginning of the end with him. It’s truly hard to believe that anyone thought Halladay would be the second-best pitcher in the MLB in 2012 after the numbers he put up, but it just goes to show how suddenly a pitcher’s decline can sneak up on everyone.
Humorously enough, three of the pitchers in that top 10 make my forthcoming list of pitchers who I will not be targeting in drafts. This can also be viewed as a list of the largest differences between ESPN’s and my rankings.
Justin Verlander | ESPN rank: 14, My rank: 25
I have more faith in his strikeout rate, but ESPN has more faith in his overall effectiveness. Truth is, he didn’t suffer an abnormally high BAbip or anything like that. He was simply more hittable and, honestly, ESPN’s projection doesn’t make a lot of sense when you consider that fewer strikeouts should lead to a higher probability he will give up a hit. Regardless of how you feel about him, it’s the offseason surgery that freaks me out. Does that not freak YOU out? It came out of nowhere, and there are rumors he may not even be ready for Opening Day. Toss in the fact that he has a pretty rigorous offseason routine that, for the first time, he won’t be able to stick to, and you have a guy that may not only start the season but also be out of shape, relative to his standards. Unless I get him as low as 30th, he’s not worth the risk.
Shelby Miller | ESPN rank: 26, My rank: 48
This is not a testament to Miller’s abilities — he’s a very good pitcher. This time, ESPN believes more in the strikeout rate; my research leads me to bet against it, although I’m sure he has the capability to improve. The most important aspect of his game this year will be how deeply he pitches into games. I’m not banking on 200 innings, let’s put it that way. I simply believe he will be overvalued on draft day, especially if ESPN thinks he will be better than Gerrit Cole or Alex Cobb. Even if Cole doesn’t ramp up the strikeouts, I still can’t get behind them on this one (Cole struck out 10 batters per nine innings over his handful of starts and was an absolute beast. He gasses 100 mph). Miller is o-ver-ra-ted. Case closed.
Hyun-jin Ryu | ESPN rank: 31, My rank: 50
I actually think he will perform better than ESPN thinks. I also think ESPN simply underrates a lot of players. They have an audience to please, and I think intuition prevails sometimes, even if it’s wrong. Ryu is good but not elite; he pitches more to contact but keeps the ball on the ground. With that said, the strikeout rate suffers, so he’s not really a guy I want on my team. However, he’ll get wins, and that’s great. But we all knows wins are unpredictable. Ask 2012 Cliff Lee and 2013 Cole Hamels. (Or maybe just don’t pitch for the Phillies next time.) Anyway, again, another case of overrating in my opinion.
Jon Lester | ESPN rank: 37, My rank: 56
With so much pitching depth, there’s no reason to tolerate a career 1.30 WHIP and a pedestrian K/9 rate since 2012 just to bank on wins. It only takes one bad year.
CC Sabathia | ESPN rank: 39, My rank: 41
At least ESPN and I are on the same page on this one. Still, what if it gets worse? I think 41st is a neutral projection, and with Hiroki Kuroda and Tony Cingrani following right behind, there are clearly other worthy commodities for which you can pass up Sabathia. Also, don’t forget that these rankings don’t tell you exactly how closely players are ranked together. Players within five slots or so of one another are practically interchangeable.
Dan Haren | ESPN rank: 44, My rank: 73
Let me make my official declaration: Dan Haren’s strikeout rate is NOT back — I repeat, NOT back! ESPN only sees a slight regression, but I dug deeper into PITCHf/x data and basically revealed Haren’s strikeout rate in 2013 was anomalous. I truly think he is more likely to record fewer than seven strikeouts per nine (aka 6.9 K/9) than 7.7 K/9 as expected by ESPN. Be warned, friends. The Dodgers will make his win column tolerable, but only if he pitches somewhat respectably — and I don’t know if he’s capable of doing that. As I’ve said a hundred times already, there’s simply too much volatility here.
Julio Teheran – He’s good, but I’d rather another owner jump the gun on him (which I can almost guarantee will happen) and pass up on better talent for him.
Jeff Samardzija – Serious question: has he ever won more than nine games? (Also, not coincidentally, a rhetorical question.)
Zack Wheeler – ESPN is really bullish on him. Maybe I’ll be the guy who misses the breakout year, but he finished 2013 with a 4.1 BB/9. He walked 5+ guys in four starts, and failed to strike out more batters than he walked in five. That’s simply unacceptable, and command does not shore up overnight.