Archive for Analysis
PINEDAf/x (and some projections)
Posted by: | CommentsThere has been no lack of Michael Pineda PITCHf/x analysis in the aftermath of the Big Trade, and if you haven’t already done so, be sure to check out Lucas Apostoleris here, Whelk at DRays Bay here and our pal Matt Imbrogno here. With these fine fellows having already done some of the legwork I was planning on doing, I thought I’d shift my focus to a compelling comp:
Feel free to guess in the comments, or find out what we’re looking at after the jump.
Breaking down the payroll, part three
Posted by: | CommentsIt’s been less than a month since we last checked on in the Yankees’ projected 2012 payroll, but a lot has changed. Just about all of it in the last week or two as well. The Michael Pineda/Jesus Montero trade didn’t change anything financially (at least not significantly) since they’re both in their pre-arbitration years, but the Hiroki Kuroda signing and arbitration settlements sure did. Andruw Jones agreed to come back, Cory Wade inked a new deal … and that’s pretty much it. Here are the gory details…
- Guaranteed Contracts (16 players, $183.125M): Alex Rodriguez ($27.5M), Mark Teixeira ($22.5M), CC Sabathia ($24.4M), Derek Jeter ($17M), A.J. Burnett ($16.5M), Mariano Rivera ($15M), Robinson Cano ($14M), Rafael Soriano ($11M), Nick Swisher ($10.25M), Curtis Granderson ($10M), Pedro Feliciano ($4M), Freddy Garcia ($4M), Phil Hughes ($3.2M), Joba Chamberlain ($1.675M), David Robertson ($1.6M), Wade ($500k)
- Contracts Pending Physicals (two players, $12M): Kuroda ($10M), Jones ($2M)
- Unsigned Arbitration-Eligibles (three players, $13.5M max/$11.1M min): Russell Martin (filed for $8.2M, Yanks for $7M), Brett Gardner ($3.2M/$2.4M), Boone Logan ($2.1M/$1.7M)
- Option Buy-Outs (one player, $0.250M): Damaso Marte ($0.250M)
The money listed is in terms of average annual value, which is what the luxury tax is based on. The players’ actual salaries are slightly different in some cased, but nothing crazy.
So that’s all of it, 22 players owed a maximum of $208.875M and a minimum of $206.475M. One of those 22 is not on the team anymore, and for simplicity’s sake, let’s assume Martin, Gardner, and Logan each win their arbitration cases. That gives us 21 active players and a $208.875M payroll, though Feliciano is only active in the sense that he’s taking a spot on the 40-man roster. It’s really 20 active players for that price.
The Yankees have been talking about spending just $2M or so on a DH, but I think that’s their way of trying to drive Johnny Damon‘s down more than anything. I expect them to end up spending about $4-5M on the DH, but anything more would surprise me. If they sign a DH for $5M and fill the remaining four roster spots with guys making the league minimum, the 25-man payroll would be approximately $215.875M, up a couple million up from the $212.7M that was luxury taxed in 2011. We haven’t even included the rest of the 40-man roster or stuff like player benefits (which gets taxed as well) yet either.
The other 15 players on the 40-man roster will make the league minimum, though let’s call it 16 players since Feliciano will be stashed on the 60-day DL so another player can be added at some point. Calling it $8M for those players is conservative ($500k each), since they’ll make a substantially smaller salary while in the minors. The $8M is probably closer to $3M in reality, if that. Player benefits are taxed and typically estimated at $10M, which brings us to $233.875M, conservatively. Just imagine if they add a player or two at the trade deadline.
None of us are privy to the Yankees’ financial info, but chances are they can support a payroll much higher than the $200M or so they’ve been spending in recent years. We can’t say that for sure, but it’s a reasonable assumption. I do however think the commissioner’s office and players union have discouraging them from raising payroll any further, just like they’ve encouraged small market teams (the Marlins and Athletics, specifically) to spend more in recent years. Raising the payscale for many second and third tier players over a handful of superstars is probably a net win for the union.
Anyway, that’s my one-paragraph semi-conspiracy payroll theory. As Stephen will explain later today, the club is going to have to make several tough decisions if they’re serious about getting under the $189M luxury tax threshold two years from now, but for now we don’t have to worry about that. The Yankees will again spend an absurd amount of money of their 40-man roster in 2012, far more than any other team.
The Yankees And Pace
Posted by: | CommentsIf you’ve been following the Yankees for long enough, you’re well aware that their games usually take an eternity to play. They have patient batters who work deep counts and an offense that scores a lot of runs, and playing in the AL East means they face a bunch of teams built the same way. More pitching changes are made these days made as bullpens become more specialized as well, and that lengthens the game quite a bit. The Red Sox had the longest average time of game at 3:13 in 2011, and the Yankees were second at 3:08. That’s a lot of baseball.
Although we have a general idea of why the Yankees played such long games in 2011, I wanted to get an idea of who specifically was responsible. To do so, I used the “pace” data available at FanGraphs. It’s compiled from PitchFX and tracks the time between pitches within a single plate appearance, so not the time between the last pitch of one plate appearance and the first of the next. The average pace across MLB was 21.6 seconds last year, with both leagues right there (AL was 21.6, NL was 21.7). Let’s break it down into the three major components of the team…
Starting Lineup
For the most part, we can deduce who the culprits are. Nick Swisher always seems to take his sweet time between pitches, as does Derek Jeter. Mark Teixeira doesn’t spend much time fidgeting around between pitches, and neither does Curtis Granderson. Let’s look at the pace data…
(min. 350 PA for ’11 and 1,000 PA for ’09-’11)
Cano is second only to Carlos Pena in both samples, and not by a small margin either. Pena leads him by 1.6 seconds in 2011 and 1.9 seconds from 2009-2011. That’s pretty nuts, the guy takes nearly half-a-minute between pitches. Cano ranking so high surprised me, but it makes sense when you stop to think about it. He’s always walking around the catcher and umpire and fixing his gloves between pitches. It makes sense. The rest is as expected, with Jeter, Gardner, and Swisher ranking well up there and everyone else further down the pack.
For what it’s worth, there’s basically no correlation between pace and wOBA. Using the ’09-’11 data, I get an R-squared of 0.0898 when I plot the two stats against each other. An R-squared of one means a perfect correlation while an R-squared of zero means no correlation. It’s worth noting that several former Yankees — specifically Jerry Hairston Jr. and Hideki Matsui — also rank pretty highly in terms of 2009-2011 pace. There are 234 players in our 2011 pool and 225 players in our 2009-2011 pool, just so you know.
Rotation
I don’t think there is anything more annoying in baseball than a pitcher who takes an eternity between pitches. Josh Beckett drew some ire last year for his painfully slow pace, and Steve Trachsel was not-so-affectionately known as The Human Rain Delay for the same reason. Rafael Betancourt also has a reputation for taking his sweet time between pitches. Let’s see where the Yankees starters ranked in 2011…
(min. 100 IP for ’11 and 300 IP for ’09-’11)
Unsurprisingly, the slowest working pitcher in baseball last year was Beckett at 26.9 seconds. In fact, the four slowest working pitchers last year all have Red Sox ties: Beckett, Brad Penny, Erik Bedard, Jon Lester. Penny is a few years removed from his stint in Boston, however.
The Yankees’ five starters last year are pretty high up there on the leaderboard, which consists of 137 players. Colon and Nova didn’t qualify for the 2009-2011 player pool, which is 126 guys deep. Two of the three Yankees that did are really high up there, and it’s worth mentioning that former Yankees hurler Javy Vazquez is at 22.8 seconds while Andy Pettitte is at 21.3 seconds. Click the link below the table, and you’ll see that the top of the pace leaderboard is dominated by AL East pitchers, which I doubt is a coincidence. The whole lotta grinding out at-bats happens in the division.
The old adage says that a pitcher who works quickly helps keep his defense on their toes, but it doesn’t show up in ERA (R-squared of 0.0006 using ’09-’11 data). That doesn’t mean it’s not true though, the defense may very well be more “into the game” with a quick pitcher, but it hasn’t yielded any significant benefits in recent years. Just FYI, the R-squared between pace and FIP is 0.00007. For all intents and purposes, that’s zero correlation.
Bullpen
Before I dug up the bullpen data, my hunch is that relievers would have a slower pace than starters because it’s the late innings and there are often men on base; these guys then to take their sweet time and think things through before each pitch. Turns out I was right in terms of the league average (by about two seconds), but not as far as the Yankees go…
(min. 30 IP for ’11 and 90 IP for ’09-’11)
Our player pools are 202 and 183 players deep for 2011 and 2009-2011, respectively. For whatever reason, the Yankees bullpen works substantially quicker than its peers and at about the same pace as the team’s starters. Why? Your guess is as good as mine. It could be Mariano Rivera‘s influence on those around him, could be a team philosophy, who knows. The guys they’ve brought in from other teams were also quick workers, so maybe it’s just dumb luck. That’s pretty interesting though, and it’ll take some work to determine why this is the case and if it’s actually helping any.
The slowest paced reliever over the last three years wasn’t Betancourt (he was second), it was Jonathan Papelbon at a whopping 31.7 seconds. That seems rather excessive. Papelbon and Betancourt (30.8) were the only relievers over 30 seconds while Jonathan Broxton was at 30.0 seconds on the nose.
* * *
Although the Yankees and Red Sox averaged the longest games — and the Mariners averaged the shortest at 2:46 — there was basically no correlation between average time of game and wins in 2011 (R-squared is just 0.066). Some teams just play longer games, and the Yankees are one of those teams thanks to guys like Cano, Swisher, Gardner, Sabathia, and Burnett. Are long games irritating? Sure, but they come with the territory at the moment, so just enjoy the extra baseball.
Scouting Phil Hughes
Posted by: | CommentsWhen long-heralded prospects make it to the major leagues, the exciting scouting reports on them tend to stick around long past their expiration dates. We hear about potential based on a perception of the player that is no longer reasonable or based on existing attributes. We cling to those old scouting reports, hoping that the player will eventually reach the level of performance that they promised, not willing to accept that circumstance and lack of development have altered the player’s ceiling.
Phil Hughes provides a good example of this phenomenon. While many of us have moved on and have lowered their expectations when it comes to Phil, we still cling to him as a guy who has long had potential and could eventually capitalize on it. However, his myriad injuries and the stunted development associated with them have altered Hughes such that the previous scouting reports no longer apply. He was a guy with a fastball at 91-94 that he had stellar command of, an excellent curveball that he could finish hitters with, and a changeup that always seemed to be on the cusp of being a usable pitch. However, the updated scouting report reads differently:
Hughes, turning 26 in June, has a classic power pitcher’s build, coming in at a solid 6’5″ and a listed 240 pounds. However, he seems to have put on a bit of weight in recent years, and the Yankees sent him to their fat camp last spring to try and shed those extra pounds. The Yankees have long liked his makeup and believe he has the mental ability to be a successful pitcher in this league, but his conditioning is something worth keeping an eye on.
As for his stuff, he is primarily a two pitch pitcher, featuring a fastball and a curveball. While he has used a cutter fairly often in recent years, he seemed to have slowly removed in from his repertoire over the course of 2011, a smart decision considering its ineffectiveness throughout the season. He occasionally mixes in a changeup, but it is not much of a pitch and is unlikely to become a major part of his arsenal.
His fastball sits at 89-92, and is pretty straight. However, he does have very good command of the pitch in the zone, and he uses that ability to draw plenty of foul balls and get ahead in counts. His curveball, once a pitch that he could throw for strikes and use to finish hitters off, has become adequate at best. It was always a bit loopy, but it had a lot of depth and hitters would swing over it. It has lost some of that depth and just tumbles up to hitters, who can usually catch up to it and foul it off or drive it somewhere. He has also struggled to throw it for strikes in recent seasons. Hughes tinkered some with a spike curve last season, but did not see great results and is unlikely to lean on it in the future.
This two pitch combination allows him to get to two strikes by way of his fastball, but once he is there he has nothing to finish hitters off with. He cannot throw the fastball by them, and they are not swinging at the curveball out of the zone. Eventually, Hughes makes a mistake and hitters are ready to pounce.
Outlook: Hughes did have a major jump in innings from 2009 to 2010, so it is possible that some of his 2011 struggles could be attributed to overuse. But unless he recovers some of his velocity, has his command go from good back to great, or recaptures his old curveball, Hughes profiles as a #4 starter or possibly a good reliever. His fastball command is still good enough to keep him in a MLB rotation, but he needs to find another positive attribute in his arsenal to surpass his current back-of-the-rotation ceiling. As he nears his age 26 season, the likelihood that he does that grows ever more slim.
That is my scouting report on Hughes at this point. I’ve discarded the one that marked him as the next Yankees ace, as those expectations simply do not match the skills that Hughes currently brings to the table. I hope to be forced to pull that old one out of the trash, dust it off, and use it once again, but I do not expect that to happen. It is time to stop judging Phil Hughes on what he could have been, and start addressing what he is.
How good has Nick Swisher been compared to previous Yankee right-fielders?
Posted by: | CommentsWhile I’m sure Nick Swisher doesn’t need defending among RAB’s audience, his name has continued to arise this offseason due to a variety of factors: (a) As the Yankees’ only position-player free agent among the starting nine next offseason, he would seem to be the most tradeable; (b) Some folks are still irrationally mad at Swish for underperforming in three separate and completely unrelated small sample sizes; and (c) the Yankees need pitching, which is basically an extension of (a).
Here’s the problem with any trade speculation involving Swish: Nick Swisher is (as I mentioned in the above-linked piece) the living and breathing embodiment of the ideal New York Yankee on offense, a sabermetrician’s dream of patience and power who led the team in OBP in 2011 with a .374 mark despite starting the season in a horrid slump, notched the best BB% on the team, at 15% — a massive jump from 2010′s 9.1% not to mention the third-best mark in the American League — and finished 11th in the AL in pitches per plate appearance (20th in 2010 and 2nd in the league in 2009).
He’s really quite good at what he does, random postseason struggles aside. This becomes even clearer when taking a quick scan of the 2013 outfield free agent class:
Left fielders
Josh Hamilton (32)
Eric Hinske (35)
Mark Kotsay (37)
Carlos Lee (37)
Juan Rivera (34) – $4MM club option for 2013 with a $500K buyout
Luke Scott (35)
Delmon Young (27)
Center fielders
Michael Bourn (30)
Marlon Byrd (35)
Melky Cabrera (28)
Curtis Granderson (32) – $13MM club option with a $2MM buyout
Angel Pagan (31)
B.J. Upton (28)
Shane Victorino (32)
Right fielders
Matt Diaz (35)
Andre Ethier (31)
Torii Hunter (37)
Mark Kotsay (37)
Carlos Quentin (30)
Juan Rivera (34) – $4MM club option for 2013 with a $500K buyout
Ryan Spilborghs (33)
Ichiro Suzuki (39)
Nick Swisher (32)
Before the Dodgers extended Matt Kemp, fine, I’d have been alright with letting Swish walk in favor of Kemp patrolling whichever section of Yankee Stadium’s outfield he wanted. However, as it currently stands, none of next year’s pending free agent outfielders are better than Swish. The only names on that list that I would maybe think twice about are Carlos Quentin and Shane Victorino, and Swish has been a better offensive player (.370 wOBA) than both outfielders over the last three seasons (both Victorino and Quentin have matching .354 wOBAs during that same timeframe). Yes, we all know Josh Hamilton’s been a beast (.388 wOBA over the last three seasons), but he also can’t stay healthy and will presumably be looking for a huge deal. With all of these players essentially the same age, I’d go with the devil you know who has also played in 150 games in each of his three seasons in pinstripes.
But wait, there’s more. Here’s a rundown of Yankee right-fielders over the last 20 individual seasons, sorted by OPS+:
| Rk | Player | PA | Year | Age | G | AB | 2B | HR | BB | IBB | SO | HBP | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Paul O’Neill | 176 | 443 | 1994 | 31 | 103 | 368 | 25 | 21 | 72 | 13 | 56 | 0 | .359 | .460 | .603 | 1.064 |
| 2 | Danny Tartabull | 152 | 526 | 1992 | 29 | 123 | 421 | 19 | 25 | 103 | 14 | 115 | 0 | .266 | .409 | .489 | .898 |
| 3 | Gary Sheffield | 141 | 684 | 2004 | 35 | 154 | 573 | 30 | 36 | 92 | 7 | 83 | 11 | .290 | .393 | .534 | .927 |
| 4 | Bobby Abreu | 138 | 248 | 2006 | 32 | 58 | 209 | 16 | 7 | 33 | 1 | 52 | 1 | .330 | .419 | .507 | .926 |
| 5 | Gary Sheffield | 137 | 675 | 2005 | 36 | 154 | 584 | 27 | 34 | 78 | 7 | 76 | 8 | .291 | .379 | .512 | .891 |
| 6 | Paul O’Neill | 137 | 637 | 1997 | 34 | 149 | 553 | 42 | 21 | 75 | 8 | 92 | 0 | .324 | .399 | .514 | .912 |
| 7 | Paul O’Neill | 137 | 543 | 1995 | 32 | 127 | 460 | 30 | 22 | 71 | 8 | 76 | 1 | .300 | .387 | .526 | .913 |
| 8 | Paul O’Neill | 136 | 547 | 1993 | 30 | 141 | 498 | 34 | 20 | 44 | 5 | 69 | 2 | .311 | .367 | .504 | .871 |
| 9 | Paul O’Neill | 130 | 672 | 1998 | 35 | 152 | 602 | 40 | 24 | 57 | 2 | 103 | 2 | .317 | .372 | .510 | .882 |
| 10 | Nick Swisher | 129 | 635 | 2010 | 29 | 150 | 566 | 33 | 29 | 58 | 0 | 139 | 6 | .288 | .359 | .511 | .870 |
| 11 | Paul O’Neill | 123 | 660 | 1996 | 33 | 150 | 546 | 35 | 19 | 102 | 8 | 76 | 4 | .302 | .411 | .474 | .885 |
| 12 | Nick Swisher | 122 | 607 | 2009 | 28 | 150 | 498 | 35 | 29 | 97 | 2 | 126 | 3 | .249 | .371 | .498 | .869 |
| 13 | Bobby Abreu | 120 | 684 | 2008 | 34 | 156 | 609 | 39 | 20 | 73 | 2 | 109 | 1 | .296 | .371 | .471 | .843 |
| 14 | Nick Swisher | 117 | 635 | 2011 | 30 | 150 | 526 | 30 | 23 | 95 | 6 | 125 | 5 | .260 | .374 | .449 | .822 |
| 15 | Bobby Abreu | 113 | 699 | 2007 | 33 | 158 | 605 | 40 | 16 | 84 | 0 | 115 | 3 | .283 | .369 | .445 | .814 |
| 16 | Raul Mondesi | 110 | 403 | 2003 | 32 | 98 | 361 | 23 | 16 | 38 | 6 | 66 | 2 | .258 | .330 | .471 | .801 |
| 17 | Paul O’Neill | 107 | 675 | 1999 | 36 | 153 | 597 | 39 | 19 | 66 | 1 | 89 | 2 | .285 | .353 | .459 | .812 |
| 18 | Paul O’Neill | 104 | 563 | 2001 | 38 | 137 | 510 | 33 | 21 | 48 | 4 | 59 | 2 | .267 | .330 | .459 | .789 |
| 19 | Raul Mondesi | 96 | 302 | 2002 | 31 | 71 | 270 | 18 | 11 | 28 | 2 | 46 | 2 | .241 | .315 | .430 | .744 |
| 20 | Paul O’Neill | 92 | 628 | 2000 | 37 | 142 | 566 | 26 | 18 | 51 | 2 | 90 | 0 | .283 | .336 | .424 | .760 |
| 21 | Shane Spencer | 86 | 329 | 2002 | 30 | 94 | 288 | 15 | 6 | 31 | 4 | 62 | 4 | .247 | .324 | .375 | .699 |
Swish’s three seasons didn’t end up ranking quite as high as I’d have expected, although that’s really more a tribute to how beastly Paul O’Neill was in pinstripes than any shortcomings on Nick’s part.
However, the case for Nick Swisher as one of the best Yankee right-fielders of the past two decades really comes into focus when we look at the cumulative numbers (minimum 300 PAs, sorted by fWAR), courtesy of FanGraphs:
Who knew Danny Tartabull was a regular OBP machine? The Yankees have gotten some pretty robust offensive production out of their right-fielders for a large chunk of the past 20 years. As you can see, Swish is tied for third-best wOBA with Bobby Abreu and Tartabull, but more importantly, has been considerably more valuable than both men in a similar amount of PAs due to his superior glovework.
While the Yankees may not see another Paul O’Neill for a good while — believe it or not, O’Neill actually has a decent case for one of the top Yankee rightfielders of the last 50 years (2nd-highest fWAR, 3rd-highest OBP, 6th-highest wOBA) — they’ve arguably got the second-best thing in Nick Swisher.
The $189M Payroll: Part 2 of 2
Posted by: | CommentsThis post was written by Moshe Mandel and Stephen Rhoads
In part 1 of this series we went through six different payroll scenarios for the Yankees over the next decade. We were careful to distinguish between total savings and CBA savings, noting that how you treat the difference in payroll can make a big difference. Where you come down on the question of how much the Yankees can save is very much determined by which figures you’re examining. Let’s use Scenario 1 as an example. In this Scenario, payroll goes from $210M in 2013 to $189M in 2014, and then goes back to $210M in 2015. We summarized the savings accordingly:
2014: Payroll at $189M
Payroll savings: $21M
Revenue sharing refund: $10M
Luxury tax savings ($21M*50%): $10.5M
Total saved: $41.5M
2015: Payroll back at $210M
No payroll savings
No refund
Luxury tax savings ($21M*50%) – ($21M* 17.5%): $6.825M
Total saved: 6.825M
2016: Payroll stays at $210M
No payroll savings
No refund
Luxury tax savings: ($21M*50%) – ($21M*30%): $4.2M
Total saved: $4.2M
2017: Payroll stays at $210M
No payroll savings
No refund
Luxury tax savings: (21*50%) – (21*40%): 2.1M
Total saved: $2.1M
TOTAL SAVINGS: $54.625M
CBA Savings: $23.125M
Now, how you account for 2014 really determines whether the savings are significant or not. We peg the initial savings figure for 2014 at $41.5M saved. This number is comprised of a $21M reduction in payroll, a $10M refund from revenue sharing, and a $10.5M savings in luxury tax. However, the $21M reduction in payroll and the $10.5M reduction in luxury tax don’t really have anything to do with the new CBA per se. This $30.5M savings is a savings they could have gotten at any point in the last decade simply by reducing payroll. Thus, the $30.5M is comprised of savings prompted by the CBA, but it’s not comprised of savings emanating from the new CBA. It’s a $30.5M they could have gotten at any point in the last few years and chose not to. It’s still a cash item – it’s not depreciation in a cash flow statement – and it still means more money in the coffers, but it’s not a CBA savings per se, at least in our estimation. This is an important distinction.
In 2015, the payroll goes back to $210M, which means there are no payroll savings and no revenue sharing refund. There is a luxury tax savings though, as the new CBA allows teams to “reset” the luxury tax by going under the threshhold in just one season, an option that was unavailable under the old agreement. This means that any savings reaped due to the reduced tax rate can be attributed to the new CBA and can therefore be included as “CBA” savings. In this particular scenario, these savings are comprised of a $6.825M difference in what their bill would have been had they not gone under $189M in 2014 compared to what it is since they did go below the threshold. In other words, had they not gone under $189M in 2014, their luxury tax rate in 2015 would have been 50%. Since they did, it’s $17.5%. The difference is $6.825M. This is a real CBA savings and it plays out over the 2016 and 2017 as well (rate goes up to 30% and 40%, respective, per the CBA). Thus, the total amount saved in Scenario 1 is about $55M, but only $23M of it is prompted by the new CBA. Here’s the summary, then, of all six scenarios and how much the team could save by going with each option.
Scenario 1 ($210M to $189M in 2014, returns to $210M in 2015 and beyond): total savings of $55M, CBA savings of $23M.
Scenario 2 ($210M to $189M in 2014, stays at $189 for 3 seasons): total savings of $147M, CBA savings of $53M.
Scenario 3 ($210 to $189M in 2014, stays at $189 for 2 of 3 seasons): total savings of $116M, CBA savings of $54M
Scenario 4 ($220M to $189M in 2014, returns to $220M in 2015 and beyond): total savings of $76M, CBA savings of 29M.
Scenario 5 ($220M to $189M in 2014, stays at $189M for 3 seasons): total savings of $199M, CBA savings of $59M.
Scenario 6 ($220M to $189M in 2014, stays at $189M for 2 of 3 seasons): total savings of $152M, CBA savings of $59M.
Clearly the Yankees would save the most total money in Scenarios 2, 3, 5 and 6. In these scenarios, they’re dropping their payroll down to $189M and keeping it there for a substantial amount of time. The most they could save would be in Scenario 5, in which they shave nearly $40M off their payroll and maintain the reduction. In this case they’d net nearly $200M more, $59M of which would be a derivative of the new CBA.
These gains would be real, but they’re not entirely relevant for our purposes. Saying the team could save nearly $200M in Scenario 5 is true, but it’s also true they could save $75M right this moment if they dropped their payroll down by $75M. Of course, they haven’t done that at any point in recent memory. Our concern is the CBA savings.
The team would obviously save the most by dropping the payroll and keeping it low. Their tax bill would be lower, and they’d receive money back from the revenue sharing refund. However, these CBA-related savings don’t seem to amount to more than $60M. If they don’t maintain the new low payroll, the savings are even less. In Scenarios 1 and 4, in which they drop the payroll for one year and return it to prior levels immediately after, they’d only save $23M-$29M over four years. At most, this amounts to a little over $7M per year. In the latter scenarios, this annual savings figure rises to a little less than $12 million per year.
It’s our opinion that if the Yankees were interested in saving fifteen to thirty-five million dollars a year in payroll and tax, they should have done it already. They could have done it at any point in the last decade. We’re told that the new CBA incentivizes them to get below $189M to incur specific savings, but we see that the only time those savings are truly noteworthy is in the unlikely scenario in which the Yankees stay under $189M for a significant amount of time. Furthermore, we see that the CBA-related savings, at their most extreme, are about $12M a year. Are the Yankees really concerned about $12M a year in “new savings”? Are they suddenly concerned about the fifteen to thirty-five million dollars a year that they could have been saving all along? Perhaps most importantly, are they willing to forgo top free agents and risk missing the postseason to garner those savings?
Without further guidance as to what the true long-term goal is, we can’t get more specific than this. But it seems to be the case that the team will only realize serious, significant gains if they make a permanent move towards a payroll level more reminiscent of the early part of the last decade. Perhaps we’re stuck in the denial stage of the 5 stages of grief. It’s hard for us to understand the prospect of a “new normal” in which the payroll drops 10-20% while the team simultaneously reaps greater and greater revenues from a lucrative television network and new stadium. It’s even harder for us to understand risking contention in an increasingly competitive American League with an already-expensive roster to simply eke out a pittance in savings relative to the team’s balance sheet. But this may be the new Yankees reality, in which the Steinbrenners reach for a modicum of fiscal responsibility at the expense of some performance certainty. If it is, we all need to adjust our expectations accordingly.
The $189M Payroll: Part 1 of 2
Posted by: | CommentsThis post was written by Moshe Mandel and Stephen Rhoads
Yesterday Joe walked through the different stages of grief Yankee fans have been going through since learning that a $189M payroll was a realistic option in the near future. Part of my frustration when reading this (still in stage 2, I suppose) was that I didn’t have a firm handle on how much money the Yankees would actually be saving. If the amount they could potentially save ranges into the nine figures territory, then it’s hard to quibble with the team tightening the belt. If it was significantly less, then a whole host of options come into play, including the possibility that the team is not serious about getting below $189M in 2014 and was using Sherman to broadcast their bluff in advance of the Yu Darvish bid.
Accordingly, Moshe and I have run the numbers for six different payroll scenarios. We used the basic parameters set forth by Sherman in this quote to try and estimate the proper figures for each scenario:
For if they are at $189 million or less for the three seasons from 2014-16, they not only avoid paying one cent in luxury tax, which would rise to 50 percent for them as repeat offenders, but they also would get roughly $40 million in savings via the to-be-implemented market disqualification revenue sharing program. However, only teams under the luxury-tax threshold get reimbursed in this program, which is designed to prevent big markets such as Toronto and Washington from receiving revenue sharing dollars, which in turn will lower how much teams such as the Yanks pay (as long as they are under the threshold).
And even if they just went under $189 million for 2014 before going over again in 2015, the Yankees would receive serious benefits. They would get about $10 million in the revenue sharing disqualification program. Also, by simply going under the threshold once, the Yankees would go back to having a 17.5 percent tax rather than the 50 percent that begins in 2014 for them if they never go under. Keep in mind that since the luxury tax went to 40 percent for them in 2005, the Yankees have averaged paying $25.75 million in tax annually.
In the first three scenarios, we use a $210M payroll in 2013, and then assume that they go back to $210M in later years. In the second three scenarios, we use a $220M payroll. In each scenario, we provide savings figures per year. At the bottom of each scenario we provide a total amount saved, and also provide what we’re calling “CBA Savings”. This figure emanates directly from the new CBA, and would include revenue sharing refunds, and luxury tax savings resulting from a new, lowered rate. It would not include the $21M they’d save from going from a $210M payroll to a $189M payroll, for instance. We get down to business after the jump.
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Behind Derek Jeter’s unexpected second-half resurgence
Posted by: | CommentsI’ve given Derek Jeter a considerably hard time since his offensive game started to fall off a cliff back in May 2010, and so it seemed appropriate to reverse course and give Derek proper due for the remarkable turnaround that saw him hit .327/.383/.428 in the second half of 2011 after a .270/.330/.353 first half and a .270/.340/.370 2010 season. Additionally, while many have acknowledged Derek’s resurgence, few (if any) have taken a look into the why, and so here’s a deeper dive into how Derek Got His Groove Back (and no, it has nothing to do with gift baskets).
The below chart (as always, click to enlarge) shows Derek’s plate discipline numbers graphed against his wOBA on a month-by-month basis, beginning in April 2010.
There’s obviously quite a bit going on here, and I was actually surprised to find that a lot of this data didn’t correlate the way I was expecting it to. I figured Jeter’s best months would feature low O-Swing% and O-Contact% rates; and yet his best month (August 2011′s .398 wOBA) featured his third-highest O-Contact% (77.6%) out of the 12 months shown here. For a player with a career 62.0% O-Contact%, I really have no idea what to make of that.
Fortunately his four best months of the last 12 — August 2011, April 2010′s .380 wOBA, July 2011′s .352 wOBA and September 2011′s .344 — were each among his top four Z-Swing% rates (though not in that exact order), lending some sense of order to the proceedings. Although only two of those four months — again, April 2010 and August 2011 — were among the top four Z-Contact% rates.
The other data type that correlated with Derek’s top monthly wOBAs was Swing%, as his three highest Swing% months were also his three best wOBA months. So based on this data it seems like Derek is at his best the more frequently he swings, which is also driven home by the below table:
| O-Swing% | Z-Swing% | Swing% | O-Contact% | Z-Contact% | Contact% | Zone% | Sw-Strk% | |
| 2010 | 28.2% | 67.2% | 47.1% | 69.2% | 92.9% | 85.5% | 48.3% | 6.7% |
| 1H 2011 | 26.9% | 66.8% | 45.8% | 73.1% | 91.6% | 85.9% | 47.3% | 6.4% |
| 2H 2011 | 29.9% | 71.7% | 48.9% | 71.5% | 90.6% | 84.3% | 45.5% | 7.5% |
Although that probably isn’t terribly surprising news to anyone who’s watched Derek with any frequency of late. While Derek’s never been a notorious hacker (his career 8.9% BB% is certainly respectable) he has seemed less inclined to take ball four as he’s gotten older, and indeed, he’s only exceeded the league average BB% once in the last five seasons (though he did match it last year). This past season his walk rate was 7.6% against a league average of 8.1% — a five-year league-average low.
Of course, plate discipline only tells part of the story; we also need to see what Derek did with the balls he put into play.
Now this chart makes a little more sense. Derek’s worst month — April 2011 — also featured his highest GB% of the 12 months surveyed here, a ridiculous 72.3%. On the flip side, Derek’s best month, August 2011, saw the fewest ground balls (55.8%). His best LD% months were, unsurprisingly, August ’11 (31.6%) and September 2011 (26.2%). He’s only exceeded 20% line drives in a full season once in the last five seasons, so Derek really turned back the clock this past summer.
I also thought it’d be interesting to see how pitchers attacked Derek over the last two seasons. Instead of drilling down on each individual pitch type, I decided to borrow Mike’s binning of Fastballs (FB%=FF, FT, SI, FC, FA and FS), Breaking Balls (BrB%=SL, CU, KN) and Changeups (CH%).
First-half Derek saw a slight decrease in fastballs from 2010, an uptick in breaking balls and a very small decrease in changeups. However, pitchers on the whole seemed to start challenging Derek with more heat in the second-half, which is probably at least partially responsible for his offensive resurgence, as Derek’s been an above-average fastball hitter for all of the years in which we have data for.
Pitchers did continue to exploit his difficulty with the offspeed pitch, and in fact, 2011 was the worst season of Derek’s career in terms of pitch type linear weights for the changeup. Opposing teams undoubtedly know that you can beat Derek with the change, and I wouldn’t be surprised to see that CH% rise even higher next season.
Lastly, I wanted to take a look at where Derek was hitting the ball. Here’s Derek’s first-half 2011 spray chart:
We all know Derek’s made his living going the other way, but Derek rarely pulled anything with power in the first half, hitting 11 balls to left field (though seven went for hits).
Here’s the second-half spray chart:
That’s a nice-looking spray chart. By my count Derek hit 22 balls to left field in the second half, and 21(!) of them went for hits. I’m not saying Derek needs to become a pull hitter or anything crazy like that, but it’s rather remarkable how much different the results were after he started using the entire field.
The one angle I was curious about but didn’t have the tools to dig too deeply into was whether the Yankees faced a disproportionate amount of lefthanded pitching in the second half, though unfortunately none of the usual suspects have the capability of showing platoon splits by half. However, the Yankees only faced (by my count) 21 lefthanded starters out of their 74 second-half games, so even if Derek did presumably continue to feast on southpaws, his numbers were likely also very good against righthanders in the second half as well, a subset whom he has really struggled against (81 wRC+ on the whole in 2011, and 71 wRC+ in 2010).
To summarize, it would appear that the keys to Derek’s second-half resurgence were, in part, as follows: swinging a lot more frequently than he had been doing (and more frequently than league average, but slightly less than league average on pitches out of the zone), hitting the ball in the air, getting a lot of fastballs and pulling the ball to left field. Of course, this begs the question whether any of this is sustainable for the 2012 season (and beyond, if we’re extremely lucky), or if Derek will regress back to being the groundout-to-the-shortstop-on-the-first-pitch machine that frustrated the heck out of Yankee fans for roughly a year-and-a-half’s worth of plate appearances.
Can A-Rod return to the .500 SLG plateau?
Posted by: | CommentsOn the heels of my A-Rod OBP post from several weeks ago, commenter Andy asked whether we can expect Alex to get back over the .500 SLG threshold. While the safe answer is “probably not,” what with Alex turning 37 and all next year, I was curious to see what a breakdown of Alex’s 2011 round-trippers might portend for the future.
As you know, Alex Rodriguez hit a career-low 16 home runs across 428 plate appearances in his injury-riddled 2011 campaign, or a pace of 26.75 PA/HR. However, this pace wasn’t impacted by his second half — up until he hit the DL in early July he’d hit 13 home runs in 344 PAs, which is a 26.46 PA/HR pace. As a point of comparison, for his career he’s a 16.91 AB/HR hitter.
Aside from injury speculation, part of A-Rod’s power outage is likely due somewhat to his recent struggles with left-handed pitching, as he only hit two home runs off LHP all season. However, a more interesting picture begins to emerge when looking at B-Ref’s Play Index breakouts of Alex’s home runs. In 2009, eight of his 30 home runs came while behind in the count, nine while the count was even and the remaining 13 while ahead. In 2010, seven of his 30 home runs came while behind, six while even and 17 when ahead. And in 2011, he hit zero home runs when behind in the count, five when even and 11 when ahead.
Now, clearly hitters fare better when ahead in the count and are subsequently more likely to hit home runs, but based on this data Alex was obviously not a threat to go yard in 2011 once the pitcher got ahead. This is further underscored by the following graph detailing Alex’s last three years of tOPS+ and sOPS+ when ahead, even and behind in the count (click to enlarge):
Not only was Alex not a threat to go yard when behind in the count in 2011, he wasn’t a threat to do much of anything, performing 83% worse than usual in those situations, and 12% worse than league average.
So what were pitchers giving Alex after they got ahead of him?
Versus right-handers, Alex could expect to see a fastball the majority of the time when behind in the count; however, once lefties got two strikes there was a strong chance Alex was going to see a curveball or a slider, two pitches he was largely ineffective (0.22 wCB/C and 0.06 wSL/C) against.
Moving on to pitch location, if we look at his home runs versus swinging strikes, it appears that Alex chased an increased number of pitches low and away in 2011 compared with 2010, which would seem to make sense given that Alex does most of his home run damage middle-in.
As far as pitch type goes, Alex’s home run breakout was as follows:
The two home runs off lefties came on a changeup (hooray!) and cutter (double hooray!), two pitches he’s had some difficulties with. The other changeup homer came off James Shields, which is just awesome considering how much Shields — not to mention changeups in general — kills the Yankees.
So what does all this mean for Alex’s chances of increasing his home run tally in 2012, and hopefully getting that SLG back above .500? For one, it’s pretty clear he’s going to need to be more aggressive when falling behind in the count. However, he’ll also have to improve his ability to stay away from breaking pitches with two strikes in the count, as they’re likely to finish out of the zone.
Now, the same could be said for every single player in Major League Baseball, but as illustrated above this was a pretty big weakness for Alex in 2011, and enhanced pitch recognition should help him battle back more frequently when he gets behind and ideally get a better pitch to drive. This also ties in to getting his plate discipline numbers back in line with his career averages. If Alex can regain the superb selectivity he featured for much of April 2011 combined with a revamped approach after falling behind in the count as well as against left-handers, he should return to being the middle-of-the-order force we know and love, and the SLG will follow suit.
Contracts For Relievers: Paying For Consistency
Posted by: | CommentsVery few things in baseball receive quite as much derision as large contracts given to relievers. Relievers have come to be seen as fungible, volatile assets who are poor investments. Many view the contracts given to established closers as being entirely based on saves, a stat that is rightfully maligned and makes a poor basis for a multi-year multi-million dollar contract. However, the logic underlying these complaints has holes large enough to push Phil Hughes through, and a closer look suggests that the truly large reliever contracts may actually make a modicum of sense.
My theory is that general managers who hand relievers big money have not been looking for saves per se. Rather, they have been looking for pitchers who have provided consistent performance on a regular basis. To test this hypothesis, I decided to take a look at the largest contracts given to relievers since 2000, as well as the most consistent performers over the same time period. For the contracts, I limited my search to 3+ year contracts worth at least $7 million per season. 3+ year deals tend to reflect a level of trust by the club in the player, and $7 million struck me as a reasonable cutoff between the deals handed to top players and to those a level down on the talent chain. For measuring performance, I used a simple ERA+ and IP combination to try and isolate the most consistent performers (a search for relievers who have racked up 35+ saves on a yearly basis unearthed a similar list. Players who provide that many saves regularly tend to have strong underlying numbers, so saves can serve as a proxy for performance when addressing a multi-year sample).
Here’s the list of pitchers who had at least 3 seasons with an ERA+ of 150 or better and at least 65 innings pitched:
1 Joe Nathan
2 Billy Wagner
3 Mariano Rivera
4 Francisco Rodriguez
5 Keith Foulke
6 Mike Adams
7 Joakim Soria
8 Carlos Marmol
9 Jonathan Papelbon
10 Jonathan Broxton
11 B.J. Ryan
12 Juan Rincon
13 Brad Lidge
14 Francisco Cordero
15 LaTroy Hawkins
16 Luis Ayala
17 Eric Gagne
18 Jason Isringhausen
19 Octavio Dotel
20 Armando Benitez
It is important to note that when the search was expanded to players with at least 2 seasons of this sort of performance, an obvious drop in quality could be perceived. To my eye, 3 seasons turned out to be a very good parameter by which to evaluate consistent success. Looking at the list, Adams, Soria, and Marmol have not yet reached free agency, while Broxton, Dotel, Rincon, Gagne and Ayala all suffered injuries that hurt their performance and value before they could cash in. That leaves us with 12 pitchers relevant to our purposes.
Here is the list of relievers who have received large contracts, meaning deals for 3 or more seasons at an AAV of at least 7 million dollars (this is the list I was able to construct. It may not be complete. Please correct me if possible):
Jonathan Papelbon
Mariano Rivera
Rafael Soriano
Francisco Rodriguez
Francsico Cordero
Joe Nathan
Heath Bell
Brad Lidge
Billy Wagner
BJ Ryan
Armando Benitez
Jason Isringhausen
Soriano and Bell are the only players on the “got paid” list not on the “consistently performed” list, and Bell has two seasons of requisite performance and a third that falls just short (146 ERA+). Soriano is the only real outlier here, as he has never had a season meeting the performance criteria yet was paid like the more consistent elite performers. Conversely, Foulke and Hawkins are the only two of the 12 relevant players from the “consistently performed” list who failed to make the “got paid” list, and Foulke missed it by .25 million (3 years, 20.75 million).
Basically, when looking at the two lists, we find that the pitchers who have performed at a high level on a regular basis are the ones who are getting the big money. Now, correlation is not causation, but it does seem reasonable to say that large contracts for relievers have been largely reserved for pitchers with established levels of consistency and performance. Now, the next question to ask is whether it makes sense to be giving those pitchers large contracts. The obvious retort to this is that:
1) relievers are a volatile commodity, and
2) past performance does not guarantee future results, and
3) relievers are fungible and good relief can be acquired cheaply.
As for #1, Stephen Rhoads addressed this very issue in this space a few weeks ago:
In any walk of life, one quick way to open yourself up to embarrassment is to assume that those around you are either unable or unwilling to comprehend the complexities of your worldview, to borrow a turn of phrase from Confederacy of Dunces. I’d wager that most General Managers have a pretty good idea that relievers are volatile creatures, and that they are also aware of the failure of these relievers to live up to the contracts given to them. So, avoiding the arrogance that would suggest that they’re just irrational actors, what would drive a GM to pay a premium for a reliever? It boils down to predictability.
Paradoxically, the volatile nature of relief pitchers drives GMs to pay big money for relievers whom they don’t believe will be volatile. Thus, relievers with a long track record of health and consistently superb performance are the most likely candidates to get big money.
Essentially, reliever volatility actually makes handing big contracts to those relievers who have proven to be more of a sure thing a logical decision. As for #2 and #3, they can both be answered by the same point. While it is easy to look back at the end of a season and find relievers who provided great results for few dollars, it is much more difficult to identify those pitchers ahead of time. For every Joaquin Benoit there are 10 Buddy Carlyles and Lance Pendeltons, pitchers who are blanks in the game of reliever roulette. Additionally, while some of these large contracts have flopped, that is a risk that comes with any free agent contract. In the right context, it makes sense for clubs to take that risk rather than cross their fingers and hope to stumble upon the right reliever. Although past performance does not guarantee future results, it does make good results significantly more likely and predictable.
Relievers being fungible and volatile does not mean that their talent changes yearly. It means that in a small sample, you can often get statistical anomalies in both directions. Since relieving is by nature a small sample, there is more volatility and more risk. But if you have identified relievers who you think are more talented and more consistent, you lower that risk of volatility. There is value in that certainty, such that it makes sense to pay those relievers more than a pure talent to dollars evaluation might suggest. This added level of predictability is why general managers have been paying a premium for top relievers on the free agent market.
















