Archive for closer

Bullpen Report: September 24, 2017

Here’s everything you need to know about an unusually quiet weekend of bullpen activity around the major leagues:

Jeurys Familia has been moved back to the closer position on the grid for the Mets. A.J. Ramos has struggled as of late, and it was always assumed that Familia would at some point find his way back to the ninth inning for New York. Familia picked up his first save since May 5 on Friday (pitching 1/3 of an inning), then the following day he pitched a scoreless ninth in a tie game at home, as closers often do. Familia’s track record and projections indicate that he should have no problem being a very good closer again. He induces a ton of ground balls and limits the home run ball very well. Meanwhile, Ramos’s days as a must-own fantasy asset may be over if Familia has indeed regained the role of closer. Ramos could still have some value in holds leagues, but there are better options out there. Read the rest of this entry »


Z-Contact% as a Function of Strictly a Pitcher’s Fastball

A couple of weeks ago, I investigated Justin Verlander’s resurgence. I found reasons to validate his hot streak but turned up additional question marks along the way.

One of them was his zone contact rate (Z-Contact%). At 79.7 percent, it would have been the second-lowest of his career by several percentage points (despite not performing “at peak”). However, I realize now, unfortunately, that I must have encountered a glitch in the leaderboards — his Z-Contact% as of August 21 (because the post, despite running the same day as his Aug. 26 start, was published prior to it) was 85.7 percent.

Regardless, it got me thinking what affects a pitcher’s zone contact rate because it correlates very strongly with strikeout rate (R-squared = .594). User DoubleJ speculated about the metric via comment on one of last week’s posts:

Read the rest of this entry »


xK%, History and Speculating on Dellin Betances

I’d like to talk to you about Dellin Betances.

Wait! Wait. No. No, I wouldn’t. I’d like to talk about Mike Podhorzer first. Mike has published a lot of great work covering the fundamentals of the xK% (and xBB%) metric for pitchers (and hitters), so if you are unfamiliar with or falling behind on his work, I recommend you first click here, here or here. But if you’re lazy, the short of it is: xK%, or expected strikeout rate, is an equation birthed from a linear regression that measures how a pitcher’s looking, swinging and foul-ball strike rates as well as overall strike percentage correlates with his strikeout rate. It doesn’t predict future strikeout rates as much as it retrospectively adjusts past strikeout rates; thus, it is a good tool for identifying pitchers who potentially benefited (or suffered) from good (bad) luck in a previous season – say, 2014.

Like many other metrics completely unrelated to xK%, however, there is evidence that certain players consistently out-perform (or under-perform) what their xK% rates predict their actual K% rates should be. (Mike alludes to this trend in his quip about Jeremy Hellickson, a xK% underachiever, in one of the articles linked above.) Similarly to how a power hitter will post consistently higher ratios of home runs to fly balls (HR/FB) than a non-power hitter, or how Mike Trout will probably post some of the highest batting averages on balls in play (babip) in the league for years to come, it appears there is some skill, or perhaps a particular characteristic, inherent to pitchers who consistently best, or fall short of, their xK% rates.

Read the rest of this entry »


Building a Closer Through Outcomes

There are a sundry of middle/set-up relievers that can succeed in the closer role if given the opportunity. A few obvious: Wade Davis if something happens to Greg Holland… Wil Myers for James Shields and who?!; Ken Giles if the Phillies can somehow find a trade partner for the grundle-grabber; and Brad Boxberger if not Jake McGee. I assume David Robertson signs elsewhere and Dellin Betances steps in.

Lets’ look at potential closers using reliever outcomes. Here are the average contact and balls in play-related outcomes for all relievers that qualified and specifically relievers with 10+ saves:

Command: K% BB% K-BB% Ct% SwStr% Zn% F-Str%
AVG for RP w/ > 10 SV 0.27 0.07 0.19 0.75 0.12 0.46 0.63
SD for RP w/ > 10 SV 0.08 0.03 0.08 0.06 0.03 0.04 0.04
AVG for all qualified RP’s 0.22 0.09 0.14 0.77 0.11 0.45 0.60
SD for all qualified RP’s 0.07 0.03 0.07 0.05 0.03 0.04 0.05
Balls In Play: GB% FB% IFFB% GB/FB HR/FB LOB% BABIP
AVG for RP w/ > 10 SV 0.43 0.37 0.11 1.40 0.08 0.78 0.275
SD for RP w/ > 10 SV 0.11 0.10 0.04 1.02 0.05 0.08 0.042
AVG for all qualified RP’s 0.45 0.35 0.09 1.50 0.09 0.75 0.289
SD for all qualified RP’s 0.10 0.09 0.05 0.81 0.05 0.08 0.044

Our Filters: 

  • Contact-related outcomes: For K-BB%, Ct% and SwStr%, I filtered simply by the general relief pitcher averages. Everyone below average in these 3 categories was filtered out.
  • Command-related outcomes: For zone% and first-pitch-strike%, I used 1 standard deviation below average and 1.25 SD’s below average in BABIP as filters. 1.25 SD allowed me to omit only the relievers that had career BABIP’s higher than we would like to see for a closer or in general. I didn’t want to screen out Jenrry Mejia (1.24 SD below the mean) or Tim Stauffer (1.19 SD below), because there’s a possibility for BABIP regression.
  • Balls In Play-related outcomes: I was lax on the balls in play outcomes. I went with a 40% Grounder rate and 45% Flyball rate as my filters versus the averages that you see above because below average fly-rates don’t mean much in places like Tampa (where Boxberger is elite but below average in fly-rates); and above average grounder-rates don’t mean as much with atrocious defense behind you (hence Corey Kluber’s unlucky BABIP, which should have been closer to .299 per end-of-season xBABIP/Inside Edge data), but I digress.

Using these filters, we’re left with a robust list of above-average relievers beyond just closers (scroll down for the noted filters):

What happens if we use the command (K-BB%)/contact (Ct% and SwStr%) related averages for relievers with more than 10 saves this year? 

…We’re left with some elite closers and then a few interesting names.

Last year, Danny Farquhar (just missed the list this year) had a top 20 swinging-strike rate – about a percent better than Fernando Rodney, but it was masked by his BABIP and left-on-base rate that killed his surface stats (4.20 ERA vs. 2.40 xFIP). This year, he actually outperformed his xFIP with a 2.66 ERA. After an early season MASH Report on Rodney’s velocity, I eyed Farquhar. At least keep him in mind next year if anything does happen to Rodney.

Josh Edgin (Mets for those of you that don’t know) has a top 65 contact-rate sandwiched between Mark Melancon and Jake McGee and even induced grounders 50% of the time. He has a pretty extensive repertoire as well. In order of usage: Fourseamer, Slider, Curve, Change, Cutter and Sinker. According to his Brooks Player Card, he has great swing and miss rates on his Curve (>56%), Cutter (50%), Slider (>42%) and Sinker (33%). Even his Change approaches 30%. This isn’t the case on his Fastball, but at 93+ MPH, it induces a decent amount of grounders (1.8 GB/FB). Keep in mind he had late-season elbow issues which effected his velocity by a MPH or so, but he could be called upon to get Mejia out of a jam. I like him better than an unhealthy Bobby Parnell and Jeurys Familia from a command perspective for another year.

Zach Duke did his best Craig Kimbrel impression prior to the R2M monster hitting him in August. Prior to 8/1, Duke had a 34.9% K-rate and 27.3 K-BB%. Kimbrel ended the year with a 38.9% K-rate and 28.3 K-BB%. I think August and September brought him back to his realistic value (~2.50 ERA, 1.15 WHIP). It will be interesting to see who closes for the Brewers if they let Francisco Rodriguez go. Both Duke and Will Smith have above average (even for RP w/ 10+ saves) swing-and-miss. Will Smith should have additional command next year, but Zack Duke induces grounders better which I like in my closers/in Milwaukee. They also have Jonathan Broxton. The hierarchy seemed to be K-rod-Broxton-Smith late last season. If that’s the case, they should use Duke more (former starter) and in higher leverage situations. He was equally solid against both lefties (.258 wOBA) and righties (.262 wOBA).

Oliver Perez everybody! I thought I could filter him out by his splits being a lefty, but like 2012, he was more effective vs. righties (and faced 44 more of them). The D-backs have Addison Reed, up-and-comer Evan Marshall as well as Daniel Hudson caught touching 97 MPH so if not by outcomes or splits, we can filter Perez out by opportunity.

Darren O’Day and Andrew Miller is part of one dominating Baltimore bullpen – one that gets referenced by anyone who thinks the Orioles can beat the Tigers in the ALDS. Notice that Zach Britton didn’t make either of the above lists! He was filtered out by his below average K-BB% (13.70%). It’s his 75+% grounder rate (hence the 81+% left-on-base rate and .215 BABIP) that keeps him elite in Baltimore. The only concern you can have with O’Day is a fastball velocity almost 2 standard deviations below the mean for relievers, but his arm angle combined with that slider still induces a 30+% whiff-rate on both pitches. Miller’s slider though is a world apart from O’Day’s: only Pedro Strop, Will Smith, Jake Diekman, Greg Holland and Oliver Perez induces more whiffs than Miller’s 55% according to Baseball Prospectus’ Pitchf/x Leaderboards.  I doubt we’ll see a closer-transition next year in Baltimore unless Britton’s GB/FB ratio takes a drastic dive because his HR/FB ratio, which approached 18%, could be an issue.

An xBABIP review

On the last day of the season, @jeffwzimmerman provided me with Pitch xBABIP based on inside edge data. Let’s look at some of the bigger xBABIP differentials to keep in mind:

The last column depicts the z-score for BABIP differential. Francisco Rodriguez was expected to have a BABIP about 120 points above his actual BABIP. I highlighted (red/bad; green/good) the xBABIP z-scores as well so that you know whether or not to actually be concerned meaning sure Aaron Sanchez has the 5th biggest BABIP differential (over 2 standard deviations from the mean), but a .239 xBABIP is still utterly elite (3.34 SD’s from the mean). On the other side of the equation, it’s nice to see Evan Marshall, Carlos Martinez and Adam Ottavino (albeit in Colorado) with large BABIP differentials. Marshall and Martinez even have xBABIP’s over .5SD from the mean.

The last bit of fun

It was a very fun year to be doing bullpen reports for RotoGraphs. Aroldis Chapman broke the single-season strikeout rate of 2012 Craig Kimbrel (50.2%). He struck out 52.5% of the hitters he faced. Andrew Miller (42.6%) and Brad Boxberger (42.1%) also made the top 10 seasons ever. Dellin Betances (39.6%), Wade Davis (39.1%) and Craig Kimbrel (38.9%) made the top 20. Chapman’s swinging-strike% of 20% beat ’12 Kimbrel by .8%, but he couldn’t pass ’04 Lidge, ’03 Gagne, ’04 Gagne, ’02 Gagne or ’05 Lidge. Chapman, Miller, Doolittle, Boxberger, Betances (Wade Davis and Kenley Jansen close behind) all had historical, top 20 K-BB rates. Relievers dominate this list: only ’99 Pedro Martinez (#12), ’00 Pedro Martinez (#21), ’01 Randy Johnson (#27) and ’01 Pedro Martinez (#28) make it into the top 30, but it’s clear that we have a growing list of elite relievers.

From a fantasy perspective, thanks to 45+ saves totals out of Holland and Kimbrel, we had two relievers ranked in the top 20 pitchers. If Chapman didn’t miss time and Betances and Davis consumed the closer role, we would have had 3 others. Last year, Craig Kimbrel and his 4 wins, 50 saves, 98 SO’s, 1.21 ERA and .88 WHIP campaign made him the 3rd most valuable pitcher. This year with Kershaw, Cueto, Felix and Kluber, it would have taken even more.

If we combined the 3 more dominating performances exclusive of saves this year: Aroldis Chapman’s K-rate (52.5%) and saves total (36), Dellin Betances IP (90) – who was dominating in his own right, Wade Davis’ ERA (1.00) and Wins total (9) and Sean Doolittle’s WHIP (.73) – let’s call this guy Aroldellin Dooldavis, we would wind up with a 10.95 z-sum…just above Corey Kluber (10.72), but under Clayton Kershaw (13.74), Johnny Cueto (12.95) and Felix Hernandez (12.50). Even 50 saves wouldn’t have done the trick (12.43 z-sum):

Name Age IP WHIP zWHIP ERA zERA W zW SO zSO SV zSV 5×5
Clayton Kershaw 26 198.1 0.86 4.23 1.77 3.53 21 3.38 239 2.95 0 -0.34 13.74
Johnny Cueto 28 243.2 0.96 3.91 2.25 3.22 20 3.16 242 3.01 0 -0.34 12.95
Felix Hernandez 28 236 0.92 4.29 2.14 3.37 15 2.06 248 3.12 0 -0.34 12.50
Aroldellin DoolDavis 25 90 0.73 2.50 1 2.25 9 0.74 177 1.77 50 5.17 12.43
Corey Kluber 28 235.2 1.09 2.14 2.44 2.69 18 2.72 269 3.52 0 -0.34 10.73
Adam Wainwright 32 227 1.03 2.79 2.38 2.72 20 3.16 179 1.80 0 -0.34 10.13
Jon Lester 30 219.2 1.1 1.88 2.46 2.46 16 2.28 220 2.59 0 -0.34 8.86
David Price 28 248.1 1.08 2.40 3.26 0.89 15 2.06 271 3.56 0 -0.34 8.56
Chris Sale 25 174 0.97 2.68 2.17 2.43 12 1.40 208 2.36 0 -0.34 8.52
Madison Bumgarner 24 217.1 1.09 1.97 2.98 1.35 18 2.72 219 2.57 0 -0.34 8.27
Zack Greinke 30 202.1 1.15 1.18 2.71 1.78 17 2.50 207 2.34 0 -0.34 7.46
Max Scherzer 29 220.1 1.18 0.94 3.19 0.93 18 2.72 252 3.20 0 -0.34 7.45
Jordan Zimmermann 28 199.2 1.07 2.02 2.66 1.85 14 1.84 182 1.86 0 -0.34 7.22
Julio Teheran 23 221 1.08 2.13 2.89 1.57 14 1.84 186 1.94 0 -0.34 7.13
Stephen Strasburg 25 215 1.12 1.61 3.14 1.01 14 1.84 242 3.01 0 -0.34 7.12
Garrett Richards 26 168.2 1.04 1.96 2.61 1.64 13 1.62 164 1.52 0 -0.34 6.39
Greg Holland 28 62.1 0.91 1.11 1.44 1.28 1 -1.02 90 0.10 46 4.73 6.21
Craig Kimbrel 26 61.2 0.91 1.09 1.61 1.16 0 -1.24 95 0.20 47 4.84 6.06

 


KC Royals Bullpen: Depth Chart Discussions

Obviously, if you talk to any legitimate stat junkie, they’d be able to tell you in a heartbeat, but ask any casual baseball fan which team bullpen was the most valuable to their team last year, and very few….probably none….would be able to tell you it was the Royals. With an overall WAR of 7.3 and such solid numbers like a 77.8-percent strand rate, an 8.5-percent HR/FB, a 3.17 ERA and a 8.58 K/9, the Royals pen was one of the team’s strongest assets. And this year probably won’t be much different as most of the components that made it so successful last year are back for more here in 2013. Read the rest of this entry »


3 Guys I Won’t Draft in 2012

OK, so the language in the title might be a bit inflammatory.  I can’t, with 100% certainty, say that I absolutely, positively won’t draft these guys, but based on the current chatter and their ADP rankings, they will not be targets for me.  Now, if they somehow slipped a few rounds and it looks like they could, potentially, be a bargain, then I might think otherwise, but that’s a pretty big “if” for me right now.  Here’s who I’m avoiding… Read the rest of this entry »


Meet K-Fuen

Brian Fuentes recently inked a contract with the Angels to replace Francisco Rodriguez as closer. And as weird as this may sound…the Angels may have upgraded.

I won’t argue the merits or drawbacks of Rodriguez (although I have in other places). However, Fuentes has quietly been very good over the last couple years.

Last season was particularly good. Fuentes struck out nearly 12 batters per nine innings, while walking 3.16. He also allowed only three homers in 62 innings – although this is mainly due to an inordinately-low homer rate, as only 4.5% of his fly balls became homers. However, in his career, only 8.7% of his fly balls have become homers, so even though he tends to allow a lot of fly balls, he doesn’t allow too many homers.

Last season seems like it’s somewhat of an outlier in Fuentes’s career – but not by that much. His career strikeout rate is 10.24 per nine innings, and his career walk rate is 3.82. It’s fair to assume that Fuentes won’t quite approach last season’s peripherals or ERA, but it’s very reasonable to assume that Fuentes will strike out more than one batter per inning and will post an ERA in the 3.50 – 3.80 range (if that seems high, keep in mind that Fuentes will be moving to the more difficult league, even if he’s also leaving Coors Field in the process).

The key to Fuentes’s value in fantasy leagues is his situation. Fuentes signed a big-dollar deal to be The Closer for Los Angeles, a team which has thrived on having relievers in set roles. Therefore, Fuentes’s job is very safe – even if he pitches poorly in back to back outings, he’s unlikely to be relieved of his closer duties permanently. Furthermore, Fuentes has relatively little injury history, so even though he’s risky by definition (most relievers are fairly risky), he’s not a huge injury risk.

Additionally, although this may seem somewhat counterintuitive as a positive for Fuentes, the Angels aren’t going to be very good next year. Their offense overachieved in 2008 and they have lost Mark Teixeira and Garrett Anderson, leaving their offense as potentially one of the worst in the American League. This actually bodes well for Fuentes, because it means that the Angels aren’t going to blow many teams out. Rather, when they do win games, chances are the games are going to be close, leading to a lot of save opportunities for Fuentes. This is what allowed K-Rod to rack up so many saves last year, despite being no better than average at converting save opportunities into saves.

All in all, Brian Fuentes is a low-risk, above-average reliever who is likely to have a lot of save opportunities. Furthermore, he’s unlikely to be removed from the closer’s role if he struggles a little bit, and he should post solid numbers, even if they regress from last year’s numbers. Fuentes is likely to be available after the “top tier” of closers have been taken, and is the exact type of pitcher you should be targeting.