Today’s the deadline for all-star voting, and the teams will be announced beginning on Sunday. I’d like to put together an all-star team, but don’t know all of the players in the National League as well as I know the Nationals. I want to be fair, which means I want to use a systematic methodology based on statistics. A year ago, I came up with a methodology that I’m happy with.
I won’t go through all the details of the methodology here (you can read the other article if you’re interested), but the main idea is that I give quite a bit of weight to both this season and last season’s performance, plus a little bit of weight to career performance. Most of the dumb all-star selections have been players who hit a hot streak for half a season and were never good again. So I’m not going to select Scooter Gennett or Alfredo Simon just because they’ve been hot for a couple of months. My method does allow for a few exceptional players to make the team based on a single season of play (Billy Hamilton makes my team, and if I were doing an AL team, Masahiro Tanaka would definitely be on it), but generally I’m looking for those who’ve played very well for at least a year and a half.
The teams are mostly based on “points” that are calculated from wins above replacement (WAR), using this formula (in most cases):
Points = 4*2014 WAR + 2*2013 WAR + Square root(Career WAR)
Again, see the other article for details and some special cases.
Here’s my 2014 all-star team (with points shown in parentheses):
National League – Starters
C – Jonathan Lucroy – Brewers (26.4)
1B – Paul Goldschmidt – Diamondbacks (27.9)
2B – Chase Utley – Phillies (26.2)
3B – Matt Carpenter – Cardinals (28.1)
SS – Troy Tulowitzki – Rockies (36.0) – The overall point leader in my system
LF – Carlos Gomez – Brewers (34.1)
CF – Andrew McCutchen – Pirates (35.1)
RF – Giancarlo Stanton – Marlins (28.8)
DH –Freddie Freeman – Braves (22.9)
SP – Clayton Kershaw – Dodgers (33.4)
Reserves
C – Yadier Molina – Cardinals (25.1)
C – Buster Posey – Giants (21.8)
1B – Joey Votto – Reds (22.8)
1B – Anthony Rizzo – Cubs (17.9) – The Cubs were the only team that required a “special selection” – bumping up a player who wouldn’t otherwise qualify in order to have a player from each team.
2B – Daniel Murphy – Mets (19.6)
3B – Todd Frazier – Reds (23.6)
3B – David Wright – Mets (23.3)
SS – Hanley Ramirez – Dodgers (25.0)
OF – Hunter Pence – Giants (26.8)
OF – Jason Heyward – Braves (23.6)
OF – Justin Upton – Braves (19.6)
OF – Billy Hamilton – Reds (18.6) – Selected because my system requires at least one “true” center fielder in both the starting lineup and as a reserve
DH – Yasiel Puig – Dodgers (23.5)
SP – Adam Wainwright – Cardinals (32.5)
SP – Johnny Cueto – Reds (25.1)
SP – Zack Greinke – Dodgers (21.4)
SP – Jordan Zimmermann – Nationals (20.9)
SP – Cole Hamels – Phillies (20.8)
SP – Bartolo Colon – Mets (20.3)
RP – Craig Kimbrel – Braves (13.3)
RP – Joaquin Benoit – Padres (12.4)
RP – Jonathan Papelbon – Phillies (11.6)
RP – Mark Melancon – Pirates (11.3)
RP – Huston Street – Padres (10.7)
Two players, A.J. Pollock (19.7) and Cliff Lee (22.1), missed my team due to being on the disabled list.
There you have it—Jordan Zimmermann is the only National player who qualifies to be on my all-star team. Several Nats came close—Anthony Rendon (19.5), Jayson Werth (19.5), Ian Desmond (18.9), and Rafael Soriano (10.5). Although the Nats media are lobbying hard for Adam LaRoche (12.5), his poor showing in 2013 ensured that under my system he wouldn’t beat the stiff competition at first base.
It will be interesting to see which Nats are actually selected.
In June, the Nats’ pitchers excelled and the injured position players came off the disabled list. By the end of the month, with Bryce Harper’s return, the regular lineup was finally intact for the first time since opening day. The Nats went 17–11 and picked up two games from the Braves, finishing the month with a 44–38 record, 1/2 game behind the Braves and 5 games ahead of the faltering Marlins.
The Nats’ month began with the final game of a series at home, facing the Rangers. Tanner Roark pitched well, but he was no match for Yu Darvish, but the Nats still won the the series over the Texans 2 games to 1. The Phillies came to town next, and Ryan Zimmerman returned from the DL and began playing left field for the first time in his career, where he replaced the still-injured Harper. The Nats swept a 3-game set with the Phils. In the MLB first-year player draft, the Nats had the 18th pick and selected right-handed pitcher Erick Fedde, who had undergone Tommy John surgery the week before the draft.
Next came a west coast road trip. They took 2 games of 3 against the Padres, with the victories featuring shutouts on pitching gems by Roark and Jordan Zimmermann. They finished the San Diego series in a 3-way tie for first place in the NL East. Next, they had a 4-game set in San Francisco facing the Giants, who at the time sported a 42–21 record, the best in baseball. With continued excellent pitching, the Nats took the first three games of the series and moved into first place, before losing the finale. Over a span lasting 51-2/3 innings from June 3 through June 10, Nats’ starters struck out 51 batters and didn’t issue a single walk—something that hasn’t happened in at least the last century.
The Nats then headed to St. Louis to face the Cardinals. They were missing Wilson Ramos, however, who had suffered another hamstring injury and went on the 15-day DL. Facing Lance Lynn, Shelby Miller, and Jaime Garcia, the Nats bats were silenced as they managed only 3 runs over the 3-game set and were swept by the Cards and fell back behind the Braves.
Back home, the Nats took a two game set against the Astros and regained the division lead. Next, the Braves arrived at Nationals Park for a 4-game set. At that point, the Braves led the Nats 5 games to 1 in this season’s match ups, and were 18–7 over the Nats since the start of 2013. The Braves shut out the Nats in the opener. In game 2, an Anthony Rendon home run against Kimbrel sent the game to extra innings, but the Braves ultimately won in the 13th inning. But the Nats came back to shut down the Braves, 3–0 and 4–1 in the last two games, splitting the series and ending with the same 1-1/2 game lead that they had going in.
Going on the road, the Nats faced the Brewers, who held first place in the NL Central and had overtaken the Giants for the best record in the National League. The Nats won the first two games, with the second victory coming in a 16-inning marathon, before losing the third game. With Ramos coming off the DL, they next had a 4-game set against the Cubs. The Nats lost the first two games, but swept a doubleheader to split the series. The Braves slipped back into first place by a half game. The month ended with the Nats back in Washington facing the Rockies on Bryce Harper bobblehead night, with Harper returning to the lineup after more than two months away. Zimmerman returned to third base and the Nats beat the Rockies.
Despite the returning starters, the team’s offense continued to be weak in June. The Nats were 8th in the National League in runs scored in June with 109 and 11th in weighted runs created relative to league (wRC+) with 83 (that is, they created 17% fewer runs than the average team, taking account of park effects and quality of the league).
On the other hand, the pitching was excellent. The starters’ ERA– (earned run average adjusted for park and league quality) was 72 in June (that is, 28% better than average), the best of any major league team. The relievers’ ERA– was 89 in June, which was 8th in the NL, but their fielding independent pitching (FIP–) of 74 ranked best in the NL and second in MLB.
Record:
17-11 (.607)
Pythagorean Record:
18-10 (3.89 R/G – 2.93 RA/G)
Playoff odds at the end of the month:
Baseball Prospectus: 61.5% for Division championship, 73.2% for playoffs
FanGraphs (projection mode): 71.5% for Division, 88.3% for playoffs
FanGraphs (season-to-date mode): 57.8% for Division, 69.1% for playoffs
June MVP:
Jordan Zimmermann (3-2, 1.43 RA/9, 6 G, 44 IP, 6.1 H/9, 8.4 K/9, 1.7 rWAR).
Most valuable position player
Anthony Rendon (.310/.369/.560, 25 G, 6 HR, 19 RBI, 1.4 fWAR).
Most valuable relief pitcher:
Rafael Soriano (0-0, 1.50 RA/9, 12 G, 12 IP, 3.8 H/9, 9.8 K/9, 3.40 RE24, 0.5 rWAR).
Worst month:
This month it was the bench players. Although Scott Hairston went 1 for 13, Greg Dobbs will get the award for for getting designated for assignment after going 1 for 11 this month.
League leaders:
Denard Span led MLB in doubles in June with 12. Ian Desmond led MLB in strikeouts with 40, and Danny Espinosa led the NL in strikeout rate with 38.7%. Jordan Zimmermann tied with Hamels and Kershaw for the NL lead in innings pitched with 44.
Best start this month:
Jordan Zimmermann (June 8, 6–0 win over the Padres in San Diego) pitched what may have been the best start in Nationals history. It was a 2-hit shutout with 12 strikeouts and no walks, for a game score of 95, the highest ever recorded by a Washington National. Honorable mention goes to Tanner Roark for another 6–0 win over the Padres pitched two days earlier, in which Roark gave up 3 hits and struck out 11 in 8 innings (game score of 87).
Worst start:
Stephen Strasburg (June 25, 9–2 loss to the Brewers in Milwaukee) gave up 8 hits, 7 runs, 3 walks, and 2 home runs in 4-2/3 innings, while getting 2 K and a game score of 19.
Tough losses:
A tough loss is in which the pitcher is charged with a loss despite pitching well (a game score of 50 or higher):
- Jordan Zimmermann (June 13, 1–0 loss to the Cardinals in St. Louis) gave up 1 run on 3 hits (a solo home run did the damage) with 1 walk and 5 strikeouts in 8 innings (game score 76).
- Stephen Strasburg (June 14, 4–1 loss to the Cardinals in St. Louis) gave up 3 runs on 7 hits with 1 walk and 5 strikeouts in 6-2/3 innings (game score 52).
- Jordan Zimmermann (June 19, 3–0 loss to the Braves in Washington) gave up 2 runs on 7 hits with 1 walk and 6 strikeouts in 7 innings (game score 60).
Cheap win:
None
Best shutdown:
Ross Detwiler (June 24, 4–2 win over the Brewers in Milwaukee in 16 innings) pitched 4 innings (the 10th through the 13th) without giving up a run, with the score 2–2. He didn’t allow a base runner in the 10th or the 11th. In the 12th, he gave up a hit, then got a double play. In the 13th, after letting the leadoff hitter on, he got Braun and Gomez out to get out of the inning. (Win probability added .534). In the 16th, Zimmerman homered to give the Nats the two-run lead, and Soriano got the save.
Worst meltdown:
Rafael Soriano (June 7, 4–3 loss to the Padres in San Diego). Soriano entered the 9th with a 3–2 lead and got the first two batters out. With one out to go, Yonder Alonso hit a game-tying home run and sent the game to extra innings. (Win probability added –.334) Craig Stammen went on to give up the deciding run in the bottom of the 11th.
Clutch hit:
Anthony Rendon (June 20, 6–4 loss to the Braves in Washington). With 2 outs in the bottom of the 9th, the Nats trailing 4–2, Craig Kimbrel on the mound for the save, and Nate McLouth on first, Rendon blasted a home run into the visitors bullpen to tie the game (WPA .492). However, Jerry Blevins gave up 2 runs in the top of the 13th, so the Nats weren’t able to capitalize on Rendon’s memorable home run.
Choke:
Denard Span (June 12, 7–1 loss to the Giants in San Francisco) came to bat in the 5th with runners on first and third and one out, trailing the Giants 2–1. Tim Hudson got him to ground into a double play ending the rally (WPA –.172).
As the Nats get ready for Bryce Harper to return next week, the team faces its first major roster quandary of this season. Over the last three weeks, Ryan Zimmerman has proved to be a reasonably good left fielder while filling in for Bryce, but now decisions will need to be made about where to play him and how that will impact the rest of the lineup.
The two main choices are to move him back to third base, Anthony Rendon to second, and Danny Espinosa to the bench, or to keep Zimmerman in left field, move Harper to center, and Denard Span to the bench.
If Zim is capable of playing third base adequately, logic argues in favor of moving him there and sitting Espinosa. Simply put, Span is a good player and Espinosa isn’t. For example, the projections available from FanGraphs show Span with a projected slash line of .273/.323/.380 (close to a league average hitter, plus above-average defense) and Espinosa with a slash line of .221/.283/.361, which is about as low as it gets for players with significant projected playing time.
Of course, other variations could be used on occasion—Zimmerman might occasionally give Adam LaRoche a day off at first base, or let Harper move to right to give Jayson Werth a day off. But those variations, barring an injury, would be used only on occasion to keep the team rested.
So the big question is whether Zim can still play third base. If he can, I’d suggest a somewhat unusual platoon arrangement. Espinosa hits much better against left-handers, so I’d suggest playing Zimmerman at third against right-handers, and move Harper to center and sit Span against lefties. Espinosa’s career slash line against right-handers is a terrible .217/.288/.369, but against lefties it’s an impressive .266/.338/.457. Span, on the other hand, doesn’t have much of a platoon differential, but he lacks Espinosa’s power against southpaws.
The Nats’ other roster puzzle (at least to me) is their utilization of Ross Detwiler. In Tuesday’s night’s 16-inning marathon, he pitched 4 scoreless innings to keep the game tied—probably the Nats’ single most impressive relief appearance this season, which allowed Zimmerman to eventually hit the winning home run. But overall, Detwiler’s season has been pretty horrible—his opponents’ slash line of .290/.389/.442 indicates that he’s probably been even worse than suggested by his 4.36 ERA.
With the poor performance has come a willingness to use Detwiler mainly in low leverage situations when the team is either several runs behind or has a large lead. Of his 21 appearances, 14 have come with a leverage index of .75 or less (that is, a low leverage situation), with 12 of these in situations where the Nats were down by 3 or more runs or up by 5 or more runs. Tuesday’s extra-inning marathon (leverage index of 2.52) was his only appearance with a leverage index greater than 1.50. (Note—a leverage index of 1.00 represents an “average” situation.)
Detwiler hasn’t taken well to relief and still aspires to be a starter, but that isn’t going to happen with the Nationals, who have brought in Blake Treinen or Taylor Jordan when they needed a replacement starter. He’s being paid $3 million this season, which seems like a lot for a player in such a marginal role. His fasball velocity is still fine, but he relies on it too much. With a season and a half until free agency, I think it may make sense to try to trade him. Perhaps another team thinks it can succeed where the Nats have failed, in developing another pitch and allowing him to move back into the rotation. Without Detwiler, the Nats could move Treinen or Taylor Hill into the long-relief role, or bring up Xavier Cedeno as a lefty specialist. Detwiler wouldn’t bring much back in a trade, but I still think it may be better for both him and the Nats to trade him.
The Nats got off to a lackluster start as the injuries mounted and the defense sputtered. One of their starters was consistently inconsistent. Meanwhile, the Braves raced out of the gate to a solid early lead in the NL East. Unfortunately this seems like an ominous sequel to the start of the 2013 season.
The Nats started the season with Doug Fister on the disabled list with a lat strain, with Taylor Jordan moving into the fifth starter role. They opened the season, and Matt Williams’ tenure as manager, playing the Mets in New York City. They swept the series, with a notable come-from-behind win in ten innings in the opener. Unfortunately, it was also a costly win, as Wilson Ramos suffered a broken hamate bone in his left hand, placing him on the DL.
Returning to Washington for the home opener against the Braves, the Nationals lost the first two before getting a win in the third game. They fared better against in their next series against Miami, sweeping the series and ending the home stand in first place with a 7–2 record. Scott Hairston went on the DL with an oblique strain.
The team’s next series was in Atlanta, and the Nats were swept by the Braves and were knocked out of the lead. Ryan Zimmerman fractured his right thumb diving into second base on a pickoff play, and Denard Span went on the 7-day concussion DL after a base path collision. Moving on to Miami, the Nats took two of three from the Marlins.
Next came the Nats’ longest home stand of the season. Facing the Cardinals, they split a four-game series. They lost the next series to the Angels, two games to one. Jordan gave up Albert Pujols’ 500th home run. The home stand ended with a four-game series against the Padres, which the Nats again split. But this series was also a costly one, as Bryce Harper suffered a torn ligament in his thumb on a headfirst slide into third base and had to undergo surgery. The Nats’ record on their home stand was 5–6, which wasn’t what the Nats had been hoping for.
The month of April ended in Houston, where the Nats swept a two-game set with the Astros, while the Braves were losing to the Marlins. At the end of the month, the Nats had a 16–12 record and were in third place, two games back of the 17–9 Braves and slightly trailing the 15–11 Mets in the percentage standings (.577 to .571). According to the Baseball Prospectus playoff odds report, the Nats finished the month with a 49.6% chance of winning the division and a 71.8% chance of making the playoffs. FanGraphs, using the “projection mode,” showed probabilities that were a bit more optimistic (56.8% for the division and 80.6% for the playoffs), though with “season to date stats” mode the odds were quite a bit lower (29.7% for the division and 51.2% for the playoffs).
Despite the injuries, the team’s offense played well, finishing tied for second in the National League in runs scored with 126 and second in weighted runs created relative to league (wRC+) with 108 (that is, they created 8% more runs than the average team, taking account of park effects and quality of the league). Defense, on the other hand, is measured by many metrics and for this month all of the metrics were in agreement—the Nats were the worst defensive team in the NL. They had the worst fielding percentage (.975), the lowest defensive efficiency (.661; that is, only 66.1% of balls in play were converted to outs), the lowest defensive runs saved (–12), and the worst UZR (–14.2).
The starters’ ERA– (earned run average adjusted for park and league quality) was 107 (that is, 7% worse than average), ranking 9th in the NL. The poor defense obviously hurt their performance in terms of runs allowed, and the starters fared much better on the fielding independent measures, with a FIP– of 85 (15% better than the league), which ranked third, and an xFIP– of 91, which was second in the league. The relievers had an ERA– of 61 (39% better than the league average), which ranked second. Their FIP– of 80 ranked third, and their xFIP– of 88 ranked fourth.
Record:
16-12 (.571)
Pythagorean Record:
16-12 (4.50 R/G – 3.86 RA/G)
April MVP:
Jayson Werth (.288/.383/.462, 28 G, 120 PA, 4 HR, 16 R, 16 RBI, 0.7 fWAR, 9.64 RE24, 1.78 WPA) edges out Anthony Rendon (.316/.352/.544, 19 R, 20 RBI, 0.8 fWAR) and Adam LaRoche (.312/.413/.495, 17 R, 17 RBI, 0.7 fWAR) on the basis of his exceptional clutch hitting.
Most valuable pitcher:
Tanner Roark (2-0, 2.76 RA/9, 5 G, 32-2/3 IP, 7.2 K/9, 2.5 BB/9, 4.63 RE24, 1.1 rWAR) edges out Gio Gonzalez (3–1, 3.25 RA/9, 6 G, 36 IP, 0.9 rWAR).
Most valuable reliever:
Rafael Soriano (1-0, 5 SV, 0.00 RA/9, 10 G, 10 IP, 10.8 K/9, 3.6 BB/9, 5.4 H/9, 4.43 RE24, 0.74 WPA, 5 shutdowns, 0 meltdown).
Worst month:
Taylor Jordan (0–3, 7.01 RA/9, –7.10 RE24, 5 G, 25-2/3 IP, 6.0 K/9, 2.8 BB/9, 11.9 H/9, 3 HR, 60.3% LOB%). Tyler Clippard (6 meltdowns, 2–2, 5.68 RA/9, –3.74 RE24, –1.38 WPA, 3 shutdowns, 6 meltdowns) is runner up.
League leaders:
Jayson Werth led the majors in clutch hitting in April with 1.78 WPA (win probability added). Stephen Strasburg led the majors in strikeout rate with 14.03 K/9. Rafael Soriano was one of five major league relievers with an ERA of 0.00 for the month. On the other side of the ledger, Strasburg also led the majors in batting average allowed on balls in play (BABIP) with .407. Tyler Clippard had the worst clutch performance of all major league relievers as measured both by number of meltdowns (6) and WPA (–1.38). Ian Desmond led the majors in fielding errors with 8.
Best start this month:
Tanner Roark (April 26, 4–0 win over the Padres at home) in the first complete game of his career, pitched a three-hit shutout with 8 strikeouts and 1 walks with a game score of 88.
Worst start:
Jordan Zimmermann (April 9, 10–7 win over the Marlins at home) lasted only 1-2/3 innings and gave up 7 hits, 5 runs, 2 walks, and a home run, while getting only 1 K and a game score of 20. The Nats bullpen held on to give up only two more runs, and the offense came back to take the lad on a Werth grand slam home run in the bottom of the 8th.
Tough loss:
Jordan Zimmermann (April 19, 4–3 loss to the Cardinals at home) gave up 4 runs—only 1 of them earned—on 7 hits with 2 walks and 6 strikeouts in 7 innings (game score 57).
Cheap win: (none)
Best shutdown:
Drew Storen (April 18, 3–1 win over the Cardinals at home) got the call to put out a fire when he relieved Clippard in the 8th inning with one out and runners on second and third, and a 3–1 lead on the line. He got Matt Holliday to foul out and Allen Craig to ground out to get out of the inning and end the threat. (Win probability added .216).
Worst meltdown:
Tyler Clippard (April 21, 4–2 loss to the Angels at home) entered in the top of the 8th protecting a 1–0 lead. Pujols led off and reached on a Desmond error. Clippard struck out the next batter, but Pujols stole second and advanced to third on an infield single. The next batter popped out, but then Clippard gave up a single to Aybar that scored Pujols, followed by a walk and then a double by Ibanez that scored all three runners. He left the game with a 4–1 deficit, Ibanez on third, and still only two outs. (Win probability added –.699)
Clutch hit:
Jayson Werth (April 23, 5–4 win over the Angels at home). Werth came to bat in the bottom of the ninth with one out, Rendon and Span on first and second, and the Nats trailing 4–2. On a 3–0 count, he hit a double into the left field corner and scored both runners, tying the game (WPA .506). LaRoche was the next batter and drove Werth in for the walk-off win.
Choke:
Jose Lobaton (April 24, 4–3 loss to the Padres at home) came to bat in the bottom of the 12th inning with one out, Harper on second base, and the Nats trailing 4–3. He lined out to the shortstop and Harper couldn’t make it back to the base, ending the game (WPA –.267).
I’ve been a strong proponent of instant replay review, so I’m surprised to find that after our first week of expanded review, I’m starting to have second thoughts.
During spring training (I have to admit that I only watched of spring training games) I heard reports that the reviews went pretty quickly, so I was surprised at how irritating the one-or-two minute delays are turning out to be. While I’d love to ensure that the umpire’s decisions are more accurate, I’m also a proponent of faster games. It seems to be hard to advocate for one without the other.
The rules seem smart—there’s a limit of one review per team, unless the team wins a challenge, in which case they get another one. That helps limit the number of challenges, but also gives an incentive to use the challenge in cases where the team thinks it’s going to win. As Adam Kilgore of the Washington Post observes, managers also have an incentive to hold their challenges for high leverage plays—plays where the score is close and there are runners on base with the potential to score. I’m actually fine with that—if we’re going to only be reviewing a few plays, I’d rather that they be the ones that really make a difference.
The challenge in the season opener, however, illustrates a scenario when the incentives work the other direction. In the top of the tenth inning, the Nats had just taken a 9 to 5 lead on Anthony Rendon‘s home run. Danny Espinosa came to bat with two outs and the bases empty (a very low leverage situation) and grounded to third. The throw pulled Duda off the bag, but he swiped Espinosa as he ran past. Matt Williams challenged the play, despite the fact that the play was very unlikely to affect the outcome of the game, because if he didn’t use his challenge then, he would lose it.
The game had already lasted nearly 3-1/2 hours, so I was pretty irritated by the additional delay. Is there a way to change the rules to discourage managers from using challenges in low leverage situations? One way might be to give managers not only a limit of one per game, but also a limitation on the number used in the season. If Williams had been limited to maybe 60 challenges per season, I think he would have held off on that challenge to try to use it in a more meaningful situation in another game. (Please note that I am not proposing that managers who save challenges be allowed to use more than one per game. Both the one-per-game and 60-per-season restrictions would apply.) Alternatively, an even simpler rule would be to simply say that a team can’t use a challenge if they have a lead of 4 or more runs.
Ok, so I’m looking to tweak some rules to cut back on certain uses of challenges. Are there any cases where I can see additional expansion of replay challenges? Actually, yes there are.
I’ve always been concerned that umpires do a pretty poor job with check swing calls, despite the fact that they’re calling on another umpire for assistance. I’d guess that their error rates are at least twice as high for check swing calls as for other calls of balls and strikes. Check swings, however, seem like something that could be automated. If cameras were set up in fixed locations and computers were programmed to instantly replay and analyze the check swing, I’d bet that the compute could give quick, accurate, and reliable calls. The home plate umpire is already asking for help on these calls; it really doesn’t seem a stretch for them to get the help from a camera/computer combination. If an automated program could be written that could analyze and report a decision within 10 seconds (which I think might be feasible), I’d support turning check swing calls over to machines (obviously with a quick visual check to make sure the machine is doing what we think it should be doing.)
It will take us a while to get used to expanded instant replay review, but in the long run it will just be one of the many minor changes that have slipped into the game over time. I’m glad that MLB has been trying to refine it.
I’ve been doing this blog for nearly three years now, but I think this is my first season preview article. My general approach to this blog is to try to do stuff that other Nats blogs aren’t doing. We’ll see if that works for this post.
In thinking about the Nats’ prospects for 2014, I think about how similar this team is to the one that started the 2013 season 12 months ago—7 of the 8 regular position players, the top 3 starters, and the 4 pitchers who constitute the core of the bullpen are all the same. Only the bench looks significantly different. I remember I was projecting last year’s team for about 91 wins… how does this year’s team compare?
Since the team is so similar, mostly we’re comparing the prospects of individual players with the prospects of those same players a year ago. And the worrisome news is that in most cases, I’m seeing reductions in their projected performance. Ryan Zimmerman? He now looks like a liability as a third baseman. Adam LaRoche? His 2012 season is looking more like a fluke, and we’re wondering if he’ll ever be even an average first baseman again. Stephen Strasburg? While he didn’t have a bad season, I notice he’s no longer showing up in the conversation when people talk about the top ten pitchers in baseball. Gio Gonzalez? He also took a step backwards. Ross Detwiler? With health issues and inconsistency, he stepped all the way off the rotation. Drew Storen? Rafael Soriano? They each took a huge step backwards. Denard Span? While I think he suffered more from unrealistic expectations and was seen as the scapegoat by too many fans, I have to agree that this year’s expectations are lower. Danny Espinosa? More like several giant leaps backward, moving from regular to bench player.
Some other players project about the same this season as last. I’d put Bryce Harper in this category. Whereas last spring we were worried about a sophomore slump, this spring we’re worried about him staying healthy. But I see his chances for a breakout season as about the same that I thought they were 12 months ago. I also see Tyler Clippard and Craig Stammen as about the same as a year ago.
Finally, there are a handful of players who project a little higher. Two have moved up quite a bit: Ian Desmond and Jordan Zimmermann. Desmond actually didn’t hit as well last season as he did in 2012, but a year ago we still had a lot of questions whether he was a one-season fluke; now we believe he really is this good. Zimmermann quietly put together an excellent season. Jayson Werth also put together his best season since he left the Phillies, but I wouldn’t say his projection is much higher than what it was last spring. After all, he’s also another year older now, and his defense has continued to slip. Wilson Ramos also demonstrated that he’d come back from his injury, so his prospects are better than they were a year ago.
So looking at all of the returning players that are still here a year later, I have to say that the Nats’ prospects as a team look worse—the handful of players who’ve improved don’t offset the large number whose projections simply aren’t as bright. But there is another partial offset – the new players that have joined the team, in comparison to the players who’ve left.
In general, I think the new players help offset the losses among the existing core. Doug Fister certainly seems like he should be an improvement on Dan Haren (knock on wood). Anthony Rendon has been a pleasant surprise, as have Tanner Roark and Taylor Jordan. Nate McLouth and Kevin Frandsen seem like upgrades compared to last season’s bench.
So on the whole, I’m willing to project this year’s team as close to, but not quite as good as last season’s team. Last season, I projected them at 91 wins, so this season I’m going to project them at 89 wins. (That’s also close to where the statistics sites are projecting them—FanGraphs has them projected at 89 wins, and Baseball Prospectus has them at 87.6 wins.) If the Braves had stayed healthy, I’d have seen the Nats as neck-and-neck with Atlanta, but with the injuries to Medlen and Beachy, I now think the Nats have the clear edge.
Dave Nichols of the Washington DC Chapter of the Internet Baseball Writers Association sent around a pre-season survey, which I completed. For the full results, see the DC-IBWAA website. Here are my responses:
Since my last post with my thoughts on the Nats’ lineup, I ran across a site, Baseball Musings, that has a lineup optimizer. If you type in your assumptions for each player’s on-base and slugging percentages, it tells you how man runs per game to expect from the lineup you’ve entered, and also spits out the best lineups (roughly 25 of them) and the worst lineups.
Using the same assumptions as in my last post (the projections from FanGraphs with a 9.8% platoon factor for the left-handers and a 6.1% platoon factor for the right-handers; for pitchers, I used the Nationals’ pitcher batting statistics from last season), here are the “optimum” lineups. Actually, the website gives two sets of lineups, based on two different periods on which their model was estimated. This first set of lineups is based on data from 1989-2002:
vs. RHP (4.627 R/G)
1. Jayson Werth
2. Bryce Harper
3. Anthony Rendon
4. Ryan Zimmerman
5. Adam LaRoche
6. Wilson Ramos
7. Ian Desmond
8. Pitcher
9. Denard Span
vs. LHP (4.665 R/G)
1. Werth
2. Zimmerman
3. Rendon
4. Harper
5. Ramos
6. LaRoche
7. Desmond
8. Pitcher
9. Span
In contrast, the optimizer said that the lineups I proposed in my last post were worth only 4.418 R/G vs RHP and 4.464 R/G vs. LHP. Now the analysis says that the lineup that Matt Williams seems inclined to go with (1. Span, 2. Rendon, 3. Werth, 4. Zimmerman, 5. Harper, 6. Desmond, 7. LaRoche, 8. Ramos, 9. Pitcher) does even worse, 4.413 R/G vs. RHP and 4.396 R/G vs. LHP.
However, when we run the same assumptions through their other sample period, 1959–2004, we get quite different results:
vs. RHP (4.525 R/G)
1. Werth
2. Harper
3. Ramos
4. Zimmerman
5. LaRoche
6. Rendon
7. Span
8. Desmond
9. Pitcher
vs. LHP (4.563 R/G)
1. Werth
2. Zimmerman
3. Ramos
4. Rendon !
5. Harper
6. LaRoche
7. Span
8. Desmond
9. Pitcher
Rendon as cleanup hitter certainly was a surprise! Also, the optimizer doesn’t ask for handedness, so it doesn’t know that it lined up the Nats’ three left-handed hitters in a row. Looking over some of the other high-ranked lineups, this alternative is estimated to result in only .004 fewer R/G and avoids having the lefties all in a row: 1. Werth, 2. Zimmerman, 3. Desmond, 4. Harper, 5. Ramos, 6. Span, 7. Rendon, 8. LaRoche, 9. Pitcher.
Against these alternatives, my suggestions from the last post are worse, but not by nearly as large a margin (4.491 R/G vs. RHP and 4.517 R/G vs. LHP). The “Matt Williams” lineup is also only a little worse (4.477 R/G vs. RHP and 4.494 R/G vs. LHP). So the results from the longer time span seem to support the idea that lineups don’t make that much difference, whereas from the shorter time span, it seems to make quite a lot of difference.
Do I believe the Baseball Musings model? Actually, I’ve got some problems with their methodology. They base their model on linear regression analysis based on a model with two explanatory variables, OBP and SLG. The most common problem with regression models is that when there are additional variables that affect the dependent variable (in this case, runs per game), and they are left out of the model, the estimated coefficients of the variables that are included are going to be biased. In this case, it’s easy to think what some of those excluded variables might be—base running, for example.
Another model, the Markov model, is less affected by this problem, and it’s the model that was used in The Book: Playing the Percentages in Baseball by Tango, Lichtman, and Dolphin. It looks like it would be feasible to develop a similar script that could generate optimal lineups based on the Markov approach, and frankly, I’d trust that model a lot more. But the main message that comes through from all of this is that Span really shouldn’t be leading off any more.
Ok … I admit it … I find spring training boring. Sure, there’s baseball being played (of a sort). But the decisions being made are about the fifth starter, the last spot in the bullpen, and the last spot on the bench. You wait all winter for spring training, and then you wait another six weeks for real baseball.
But sportswriters have to keep writing, so this is the time of year when we get the fluff pieces and personality profiles. But, as token analysis, we usually also get an article or two about construction of the Nats’ lineup.
This blog leans toward sabermetrics, and sabermetricians have written a lot about constructing lineups. Actually, the main thing they all agree on is that lineups don’t matter all that much. Poorly designed lineups usually cost, at most, maybe five or ten runs a season. Nevertheless, it’s still interesting to see what research says about lineups, and how far most actual lineups are from the ideal.
I’ll work with the rules from The Book: Playing the Percentages in Baseball by “Tom M Tango” (better known as tangotiger), Mitchel G Lichtman, and Andrew E Dolphin, though I’ve read a number of other articles that reach generally similar conclusions. Here are a couple of their rules:
Rule #1: Your three best hitters should bat somewhere in the #1, #2, and #4 slots. Your fourth- and fifth-best hitters should occupy the #3 and #5 slots. The #1 and #2 slots will have players with more walks than those in the #4 and #5 slots. From slot #6 through #9, put the players in descending order of quality.
Notice that they don’t want you to lead off with the slap hitter who steals a lot of bases. Where do you put the base stealer?
Rule #3: If you need to leverage a basestealer, put him in front of a batter who hits lots of singles and doesn’t strikeout much. The likelihood is that your basestealer will be batting fifth or sixth.
How would I apply these rules to the Nationals lineup? First, I want to focus on projected hitting ability rather than on past hitting ability. Decision making should always be forward looking rather than backwards. We’re interested in how players are likely to hit in 2014, not in how they’ve hit in past seasons. Fortunately, projections are widely available. I’ll use the ones from FanGraphs, which are based on an average of Steamer and Zips projections.
Second, because almost all players have significant platoon splits, I’ve constructed separate lineups for use against right-handed and left-handed pitchers. For the platoon splits, I’ve used common factors, rather than trying to estimate separate platoon factors for each hitter. The factors I used were 9.8% for left-handed hitters (that is, their wOBA, or weighted on-base average, is assumed to be 9.8% higher against right-handed pitchers than against left-handed pitchers), and 6.1% for right-handed hitters, with these numbers taken from a 2013 study by Bojan Koprivica.
I basically followed Rule #1, with one additional rule—I tried to avoid placing left-handed hitters adjacent to each other, to cut down the ability of the opposing team to leverage their left-handed relief pitchers. Here are my suggested lineups, with each player’s projected wOBA adjusted for handedness in parentheses:
Versus right-handed pitchers:
1. Jayson Werth (.349)
2. Adam LaRoche (.339)
3. Wilson Ramos (.326)
4. Bryce Harper (.384)
5. Ryan Zimmerman (.345)
6. Anthony Rendon (.325)
7. Ian Desmond (.321)
8. Denard Span (.319)
Versus left-handed pitchers:
1. Bryce Harper (.350)
2. Ryan Zimmerman (.366)
3. Wilson Ramos (.346)
4. Jayson Werth (.370)
5. Anthony Rendon (.345)
6. Adam LaRoche (.308)
7. Ian Desmond (.341)
8. Denard Span (.291)
These lineups, of course, are not at all similar to what I expect to actually see. First, I show Denard Span, who will almost certainly bat leadoff for the Nats, as the worst hitter in the lineup and better suited for batting 8th. Could this be correct? Absolutely – his wOBAs over the last four seasons have been .307, .308, .325, and .313. While that’s actually not bad for a good defensive center fielder, it’s clearly the worst of any of the Nats’ regulars. Look, back in 2008 and 2009, Span was a fine leadoff hitter. But that was then, and the team needs to evaluate him on what he can do now. Please, I’m not criticizing Span (in fact, last season I was ready to nominate him for the All-Star team), but we need to recognize that he’s valuable for his defense, not as a leadoff hitter.
Now, I admit that neither Werth nor Harper is a classic leadoff hitter. The problem, however, is that there just aren’t that many classic leadoff hitters around. I ran a search for all regulars last season (min. 350 PAs) who had at least a .355 OBP, a 10% walk rate, and an isolated power of less than .180 – thinking that those would be the characteristics of a classic leadoff hitter. Only 12 players fit those criteria, and only three of them actually hit leadoff—Shin-Soo Choo, Matt Carpenter, and Dexter Fowler. Among the others who fit those criteria were players that no team would actually use as a leadoff hitter—Joe Mauer, Billy Butler, Prince Fielder, Buster Posey, Aramis Ramirez, and Chris Ianetta. There were also a few players who weren’t being used as leadoff hitter, but would fit the role pretty well—Jason Kipnis, Dustin Pedroia, and Andre Ethier. But the fact is, most teams are not going to be able to find a classic leadoff hitter because those skills are exceedingly rare. Both Werth and Harper are pretty good at getting on base and at drawing walks, so I think it would make sense to use them as leadoff hitters.
The other thing that really stood out in this analysis is that LaRoche has reached the point where he really needs to be platooned. His .339 projected wOBA against right-handers is adequate, but the .308 projected against lefties is horrible. Whether it’s with Zimmerman or Tyler Moore, I hope that Matt Williams will see the need to institute a platoon.
