The Curse of Jerry Hairston, Jr./Eric Hinske:
 








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Yankees.com: Cano’s two homers help Yanks take care of Jays
(19 Comments - 5/18/2013 10:11:31 pm)

Blue Jays (17-25) @ Yankees (26-16), Saturday, May 18, 2013, 1:05pm
(43 Comments - 5/18/2013 5:13:03 pm)

Yankees.com: Kuroda stifles Blue Jays with eight two-hit innings
(3 Comments - 5/18/2013 4:42:45 pm)

Blue Jays (17-24) @ Yankees (25-16), Friday, May 17, 2013, 7:05pm
(68 Comments - 5/18/2013 11:10:54 am)

MLB: Stewart could land on DL with injured groin
(20 Comments - 5/17/2013 3:58:30 pm)

Yankees.com: Yankees drop rubber game amid more injuries
(8 Comments - 5/17/2013 1:38:01 pm)

Mariners (19-21) @ Yankees (25-15), Thursday, May 16, 2013, 7:05pm
(90 Comments - 5/17/2013 1:05:47 am)

Baseball Reference: From 1916 to 2013, as Starter, (requiring IPouts≤2 and R≥7)
(32 Comments - 5/16/2013 5:10:21 pm)

Yankees.com: Hughes’ short start opens Yanks’ long night
(22 Comments - 5/16/2013 2:53:24 pm)

David Adams Officially Called Up
(15 Comments - 5/16/2013 2:15:39 am)



Player

Current Projected

Look what people have to say about the RLYW!

CAIRO just takes the Marcels and changes the underlying assumptions and components in a bunch of ways that make the Yankees look better.
-alskor

Wow, two stupid posts in one day. I think you’ve reached your yearly quota.
sabernar

I don’t know if any of you current posters were around for that, but if so, I just can’t understand how you can call yourselves Yankee fans. Pathetic quitters is what you sounded like. Of the lame posts I could stand to read, the only person who had any confidence in the Yankees at that point was a (yeesh) Red Sox fan.
Jeter is King




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Thursday, January 26, 2012

NY Post: Yankees GM calls Montero ‘best player I’ve traded’

Yankees GM Brian Cashman has traded Alfonso Soriano, Nick Johnson, David Wells and Mike Lowell, but said believes Jesus Montero could be better than all of them.

“He may very well be the best player I’ve traded,” Cashman said of Montero, whom he sent to Seattle in a deal to get right-hander Michael Pineda that was finalized yesterday. “He’s that good. He’s a middle-of-the-lineup type bat.”

That means Cashman expects a lot out of Pineda, the 6-foot-7, 23-year-old who went 9-10 as a rookie last year. Cashman and Mariners GM Jack Zduriencik first discussed Pineda at the Winter Meetings last month.

Let’s hope not.

--Posted at 9:14 am by SG / 34 Comments | - (0)




Monday, March 7, 2011

NJ.com: Carig - Yankees’ Eric Chavez, Eduardo Nunez inch closer to making roster

Chavez, the former Gold Glove third baseman, is 8-for-17 in spring training games. Known for his defense at third base, Chavez has played at first base for the Yankees, making him an intriguing option as a backup corner infielder.

Yankees manager Joe Girardi said the only issue with Chavez remains health.

“He seems to be doing real well right now,” Girardi said. “There’s nothing that I’ve seen from him that would tell me he’s been hurt the last couple of years.”

There’s a Nick Johnson on line one Mr. Girardi.

Meanwhile, Nunez is off to a fast start in his attempt to win a job as the Yankees’ utilityman, going 6-for-21 in spring. Today, Nunez hit a three-run homer, his first of the exhibition season, in the Yankees’ 7-1 home victory against the Phillies.

“I think I have a good chance,” Nunez said. “I’m working hard.”

So much for Ronnie Belliard…

--Posted at 9:32 pm by SG / 92 Comments | - (0)




Tuesday, July 20, 2010

2010 All Star Break Review - June Edition

A little late, but following up on April and May here’s the June All Star Break review.

June looked like the Yankees’ easiest month on paper, with 18 of their 27 games at home, and with a bunch of those games against minor league teams from Houston, Philadelphia and Queens.  Log5 would have estimated them winning about 18 of those 27 games.

Series Start Date # Gms xW aW diff
Orioles at Yankees 6/1/2010 3 2.3 3 0.7
Yankees at Blue Jays 6/4/2010 3 1.8 1 -0.8
Yankees at Orioles 6/8/2010 3 2.1 2 -0.1
Astros at Yankees 6/11/2010 3 2.3 3 0.7
Phillies at Yankees 6/15/2010 3 1.8 1 -0.8
Mets at Yankees 6/18/2010 3 1.9 2 0.1
Yankees at Diamondbacks 6/21/2010 3 1.9 2 0.1
Yankees at Dodgers 6/25/2010 3 1.6 2 0.4
Mariners at Yankees 6/29/2010 3 2.1 1 -1.1
Total 27 18 17 -1

xW: Expected wins for this series using log 5
aW: Actual wins
diff: Difference between xW and aW.  Positive means team exceeded expectations

The Yankees did about a win worse than expected, with the home series against Seattle to end the month the biggest problem (this does include the game in July 1).  It felt worse than that, but I think a big part of that was the drop in offense, as the team went from scoring 5.6 runs per game in April and 5.7 runs per game in May to 4.7 in June. 

Player month pa h 2b 3b hr bb hbp so sb cs gdp avg obp slg wOBA br
Derek Jeter 6 118 25 5 0 3 15 0 18 3 2 4 .243 .339 .379 .323 13
Mark Teixeira 6 116 25 6 0 5 13 3 20 0 1 1 .250 .353 .460 .359 16
Robinson Cano 6 113 34 6 0 4 9 2 11 0 0 3 .333 .398 .510 .398 19
Nick Swisher 6 117 25 5 1 4 13 0 22 0 1 2 .240 .325 .423 .328 14
Alex Rodriguez 6 90 20 6 0 4 8 0 13 0 0 2 .244 .311 .463 .333 12
Brett Gardner 6 71 23 2 2 1 9 2 12 6 1 0 .383 .479 .533 .450 14
Curtis Granderson 6 100 22 3 1 5 8 0 25 2 0 0 .239 .300 .457 .325 13
Jorge Posada 6 90 15 2 0 3 14 2 23 0 0 0 .203 .344 .351 .323 10
Francisco Cervelli 6 69 11 2 1 0 6 2 9 0 0 3 .180 .275 .246 .250 4
Marcus Thames 6 15 1 0 0 0 1 0 4 0 0 0 .071 .133 .071 .108 -1
Nick Johnson 6 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000 0
Ramiro Pena 6 25 3 0 0 0 2 1 4 1 0 0 .136 .240 .136 .200 1
Randy Winn 6 51 13 5 0 0 3 1 9 2 0 0 .277 .333 .383 .322 6
Kevin Russo 6 26 3 0 0 0 2 1 3 1 0 0 .130 .231 .130 .192 1
Juan Miranda 6 2 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000 0
Colin Curtis 6 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000 0
Chad Huffman 6 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000 0
Chad Moeller 6 6 1 1 0 0 1 0 1 0 0 0 .200 .333 .400 .327 1
Greg Golson 6 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000 0

wOBA: Weighted on-base average
br: Total linear weights batting runs, not position-adjusted or compared to average/replacement level

Once again, Robinson Cano was the most valuable offensive player on the team although Brett Gardner has the best rate performance.  Derek Jeter had a relatively rough month, and reality slammed into Francisco Cervelli’s over-sized batting helmet with extreme force.  But in general, the team overall just didn’t have a good month offensively.  The only players who hit at least as well as they projected entering the season were Cano and TSBG.

On the plus side, the team’s run prevention in June improved over May, falling to 4.3 from 4.4.  Of course, that’s at least partially a function of only pitching to 88.9% of a major league lineup for a large part of the month, and a function of playing some bad teams.

pitcher g gs ip h r er hr bb hbp k ra era fip rsar
CC Sabathia 5 5 37.0 25 9 9 2 2 12 35 2.19 2.19 3.15 14.3
Javier Vazquez 6 6 39.0 26 14 14 6 2 12 35 3.23 3.23 4.48 10.6
Andy Pettitte 5 5 34.0 28 15 12 4 0 12 33 3.97 3.18 3.85 6.4
Phil Hughes 5 5 31.3 37 19 18 4 0 8 24 5.46 5.17 4.09 0.8
A.J. Burnett 5 5 23.0 35 29 29 9 3 17 19 11.35 11.35 9.24 -14.5
SP Total 26 26 164.33 151 86 82 25 7 61 146 4.71 4.49 4.64 17.6
pitcher g gs ip h r er hr bb hbp k ra era fip rsar
Mariano Rivera 11 0 13.0 4 0 0 0 1 2 16 0.00 0.00 1.43 7.5
David Robertson 9 0 9.0 8 1 1 0 0 4 9 1.00 1.00 2.53 4.2
Boone Logan 4 0 7.7 7 2 2 0 0 5 7 2.35 2.35 3.33 2.4
Joba Chamberlain 12 0 10.7 12 5 5 0 0 4 10 4.22 4.22 2.45 1.2
Sergio Mitre 1 0 2.0 1 0 0 0 0 1 2 0.00 0.00 2.70 1.2
Chad Gaudin 7 0 12.7 12 7 7 2 1 7 7 4.97 4.97 6.04 0.3
Chan Ho Park 9 0 11.7 11 7 7 1 0 4 11 5.40 5.40 3.46 -0.2
Damaso Marte 8 0 5.3 2 4 4 1 0 5 3 6.75 6.75 7.33 -0.9
RP Total 61 0 72 57 26 26 4 2 32 65 3.25 3.25 3.53 15.8
SP + RP 87 26 236.33 208 112 108 29 9 93 211 4.27 4.11 4.30 33.4

A.J. Burnett’s June could’ve gone a little better.  Phil Hughes also had a disappointing month, but the it’s tough to quibble with how Sabathia, Vazquez and Pettitte did.  The bullpen had its best month of the season overall, with David Robertson finally starting to resemble the 2009 vintage. It’s easy to forget how dominant Mo can be at times, but look at that June line and marvel at his awesomeness.

Once again the Yankees ERA was lower than their FIP, this time to the tune of about six runs.  So it’s probably a safe assumption that the defense played pretty well, even if they don’t deserve all the credit for that difference.

The Yankees’ run differential in June was by far their worst of the season, as they allowed 114 runs to go with the 128 runs scored, a Pythagenpat winning percentage of .554.  So the Yankees may have been a bit fortunate to actually only miss their expectations by one game.

And since it was requested, here’s a WAR pie chart for the Yankees through Sunday’s games.

Not shown:

Boone Logan: 0.2
Romulo Sanchez: 0.2
Damaso Marte: 0.2
Juan Miranda: 0.2
Alfredo Aceves: 0.2
Ivan Nova: 0.2
A.J. Burnett: 0.1
Kevin Russo: 0.1
Sergio Mitre: 0.1
Greg Golson: 0.1
David Robertson: 0.0
Colin Curtis: 0.0
Chad Moeller: 0.0
Chad Huffman: -0.1
Dustin Moseley: -0.2
Mark Melancon: -0.3
Ramiro Pena: -0.3
Chan Ho Park: -0.3
Joba Chamberlain: -0.4

--Posted at 9:36 am by SG / 23 Comments | - (0)




Monday, July 12, 2010

2010 All Star Break Review - May Edition

After a solid April, the Yankees headed into May hoping to continue their winning ways.

On paper, the May schedule looked to be a bit easier than April’s.  In terms of expected winning percentage, the Yankees were expect to win 12.3 of 21 games in April, a winning percentage of .585.  May had 30 games scheduled, and their log5 expected wins was about 18.3, or a .609 winning percentage.

Series Start Date # Gms xW aW diff
White Sox at Yankees 5/2/2010 3 1.9 2.0 0.1
Orioles at Yankees 5/5/2010 3 2.3 3.0 0.7
Yankees at Red Sox 5/9/2010 3 1.5 2.0 0.5
Yankees at Tigers 5/13/2010 4 2.3 1.0 -1.3
Twins at Yankees 5/16/2010 3 1.8 2.0 0.2
Red Sox at Yankees 5/18/2010 2 1.1 1.0 -0.1
Rays at Yankees 5/20/2010 2 1.1 0.0 -1.1
Yankees at Mets 5/23/2010 3 1.6 1.0 -0.6
Yankees at Twins 5/27/2010 3 1.6 2.0 0.4
Indians at Yankees 5/31/2010 4 2.8 3.0 0.2
Total 30 18.3 17.0 -1.3

xW: Expected wins for this series using log 5
aW: Actual wins
diff: Difference between xW and aW.  Positive means team is ahead of their projected pace

The Yankees took care of business in the first three series they played, taking two of three against the White Sox and sweeping Baltimore before shipping up to Boston and taking two of three. 

Then came a disappointing series in Detroit where they lost three of four, when they probably should have split.

They finished off the month by taking two of three from Minnesota at home then splitting a two-gamer with Boston.  Then came the first series of the year were they didn’t win a game, as Tampa Bay came into DNYS and took a two-gamer.  Next up came a three game exhibition series against the Mets in Flushing, where the Yankees dropped two of three.  However, for some reason Bud Selig decided exhibition games should count so the Yanks got saddled with a series loss. 

They finished up the month by doing what they should have done on the road against Minnesota and Cleveland, winning both series and finishing up the month with 17 wins, about one win less than log5 would have expected.

The Yankees scored 171 runs in May, an average of about 5.7 per game.  That was a hair better than April.  Here’s how the hitters performed.

Player pa h 2b 3b hr bb hbp so sb cs gdp avg obp slg wOBA br
Derek Jeter 140 36 7 0 1 9 3 23 2 0 2 .281 .343 .359 .320 16
Mark Teixeira 134 33 5 0 6 15 1 19 0 0 5 .280 .366 .475 .368 19
Robinson Cano 125 39 11 0 3 7 2 15 0 0 3 .336 .384 .509 .390 20
Nick Swisher 102 34 6 0 7 9 2 23 0 0 2 .374 .441 .670 .472 23
Alex Rodriguez 118 34 6 0 5 14 1 21 1 1 1 .330 .415 .534 .414 21
Brett Gardner 127 32 2 1 2 15 0 18 8 3 2 .286 .370 .375 .339 16
Curtis Granderson 18 5 3 0 0 2 1 2 0 0 0 .333 .444 .533 .434 3
Jorge Posada 35 11 4 0 1 4 0 7 0 0 0 .355 .429 .581 .434 7
Francisco Cervelli 84 23 3 2 0 8 1 14 0 0 1 .307 .381 .400 .353 11
Marcus Thames 57 10 1 0 1 9 3 15 0 0 0 .222 .386 .311 .341 6
Nick Johnson 17 4 2 0 1 3 0 2 0 0 1 .286 .412 .643 .441 3
Ramiro Pena 36 8 1 0 0 2 0 5 1 0 3 .235 .278 .265 .249 2
Randy Winn 56 12 0 1 1 8 0 10 1 0 1 .250 .357 .354 .326 6
Kevin Russo 4 1 0 0 0 0 0 0 0 0 0 .250 .250 .250 .225 0
Juan Miranda 34 7 1 1 1 3 0 5 0 0 1 .226 .294 .419 .309 4

wOBA: Weighted on-base average
br: Total Linear weights batting runs, not position-adjusted or compared to average/replacement level

The injury bug hit the Yankees in May, with Curtis Granderson, Jorge Posada and Nick Johnson all going down, pressing Francisco Cervelli, Randy Winn and Juan Miranda into the lineup a bit more than you’d hope for.  Cervelli was up to the task, but it’s probably safe to say the others weren’t so much.

Nick Swisher was the best offensive player on the team in May, hitting .374/.441/.670 with seven homers.  Alex Rodriguez also had a good month, and although Cano dropped from otherworldly to really good he was also very valuable.  Mark Teixeira also showed signs of life after a disastrous April.

In April the pitching staff allowed an average of 3.76 runs per game, but they fell off in May, going to 4.4 runs per game.

pitcher g gs ip h r er hr bb hbp k ra era fip rsar
Phil Hughes 6 6 38.7 35 13 13 3 0 8 39 3.03 3.03 2.81 11.4
A.J. Burnett 6 6 38.0 38 22 17 3 3 15 33 5.21 4.03 3.91 2.0
CC Sabathia 6 6 36.7 40 22 21 8 1 11 26 5.40 5.15 5.60 1.1
Andy Pettitte 5 5 31.3 29 11 10 4 0 7 16 3.16 2.87 4.51 8.8
Javier Vazquez 5 4 22.0 21 12 12 4 0 11 18 4.91 4.91 5.43 1.9
Total 28 27 167 163 80 73 22 4 52 132 4.32 3.94 4.34 25.1

rsar: runs saved above replacement level, calculated as n times league average RA minus pitcher RA time innings pitched, where n = 1.25 for starters and 1.15 for reliever.

May was the Phil Hughes show, as he was the most valuable pitcher on the team.  Although his ERA went up by about a run, his FIP went down as he improved his walk rate from 5.5 batters per nine inning to 1.9.  Andy Pettitte also continued to pitch well, and although Javier Vazquez’s final May line wasn’t very good, he ended the month pitching quite well.  CC Sabathia and A.J. Burnett both had rough months after good starts to the season.

Once again, the bullpen disappointed. 

pitcher g gs ip h r er hr bb hbp k ra era fip rsar
Sergio Mitre 8 2 18.7 13 8 7 3 6 1 11 3.86 3.38 5.24 2.8
Joba Chamberlain 11 0 11.3 13 11 10 0 5 0 17 8.74 7.94 1.52 -4.4
David Robertson 11 0 11.0 13 7 7 2 8 1 11 5.73 5.73 6.02 -0.6
Boone Logan 10 0 8.3 10 5 5 1 5 0 4 5.40 5.40 5.60 -0.2
Chan Ho Park 6 0 7.7 14 8 8 3 2 0 6 9.39 9.39 7.50 -3.6
Mariano Rivera 8 0 7.3 5 5 3 1 2 0 4 6.14 3.68 4.70 -0.7
Damaso Marte 10 0 5.3 4 1 1 0 3 0 4 1.69 1.69 3.39 2.1
Mark Melancon 2 0 4.0 7 5 4 1 0 0 3 11.25 9.00 4.95 -2.7
Chad Gaudin 2 0 3.7 3 2 2 2 2 1 5 4.91 4.91 10.02 0.1
Romulo Sanchez 1 0 3.7 1 0 0 0 1 0 3 0.00 0.00 2.38 2.1
Alfredo Aceves 4 0 3.3 2 0 0 0 0 0 1 0.00 0.00 2.60 1.9
Ivan Nova 2 0 3 4 0 0 0 0 0 1 0.00 0.00 2.53 1.7
Total 75 2 87 89 52 47 13 34 3 70 5.36 4.84 4.80 -1.3

Even Mo had a rough month before going down for a while with an oblique injury.  Joba Chamberlain had three spectactular disaster games. 

On May 16 he started teh eighth with a 3-1 lead.  He did manage to get two outs in between allowing two singles and a walk to load the bases, at which point Mo came in and did things he’d only done four times in his career. 
a) He walked in a run
b) He gave up a grand slam

Apparently, one implosion wasn’t good enough for Joba, as he came in two days later on May 18 in a home game against the Red Sox with a 5-1 lead, and proceeded to allow four hits and four runs as Boston tied the game.  An error in the ninth allowed Boston to score one against Mo and the Yankees had one of the most painful losses of the season.

Apparently, that wasn’t good enough either, because on May 29 he once again turned what looked like a sure win into a loss.  This time, he came in with the Yankees ahead 10-6.  Despite the fact that Cleveland had runners on first and second, the Yankees had a win expectancy of about 95% since there were two outs.

- A single cut the lead to 10-7, and the win expectancy to 90%
- A walk loaded the bases and cut the win expectancy to 85%
- A double cut the lead to 10-9, and the win expectancy to 67%
- Another double put Cleveland ahead 11-10 and cut the Yankees’ win expectancy to 33%.
- Another single gave Cleveland another run and cut the Yankees’ win expectancy to 21%.

Joba finished up strong though, striking out Shin-Soo Choo to end the inning and moving the Yankees’ win expectancy back up to 22%.

And hey, his FIP was 1.52 in May, so that’s something.  I know bebop was wondering about Joba’s BABIP and if we could expect it to get better, and I’ll try and get to that in a few days.

The rest of the pen really didn’t do anything of note, although it should be noted that Chan Ho Park’s ERA of 9.39 was almost two runs higher than his 7.50 FIP, so he may have been a little unlucky.

As far as the defense, once again the Yankees cumulative ERA(4.25) was lower than their FIP (4.50).  The gap wasn’t quite as big as it was in April, but that’s a difference of about seven runs.  Again, I don’t think we necessarily want to give all the credit for that to the defense, but I’m sure they deserve some of it.

Despite the frustrating games where Joba turned what looked like wins into losses, in the big picture May wasn’t really a bad month either.  You could almost say that to this point, the Yankees had been consistent.

 

--Posted at 7:29 pm by SG / 23 Comments | - (0)



2010 All Star Break Review - April Edition

With the All Star Break’s arrival, we have a chance to look back at what’s happened so far in 2010 and think about what it means going forward.  So here’s a look at the Yankees’ performance in April.

Series Start Date # Gms xW aW diff
Yankees at Red Sox 4/7/2010 3 1.5 2.0 0.5
Yankees at Rays 4/11/2010 3 1.4 2.0 0.6
Angels at Yankees 4/15/2010 3 2.0 2.0 0.0
Rangers at Yankees 4/18/2010 3 1.7 3.0 1.3
Yankees at Athletics 4/22/2010 3 1.8 2.0 0.2
Yankees at Angels 4/25/2010 3 1.8 1.0 -0.8
Yankees at Orioles 4/29/2010 3 2.1 2.0 -0.1
Total 21 12.3 14.0 1.7

xW: Expected wins for this series using log 5
aW: Actual wins
diff: Difference between xW and aW.  Positive means team is ahead of their projected pace

April had the potential to be a very rough month, with 15 of the first 21 games on the road, including the first six on the road against arguably two of the three best teams in baseball. 

After dropping the season opener, the Yankees went on to win four of five games against Boston and Tampa Bay to jump a bit ahead of their log5 estimated pace.  They then went home to win five of six against the Anaheim Angels of Los Angeles and the Arlington Rangers of Texas. Next up came a six game west coast trip which saw the Yankees pick up two of three at Oakland before losing two of three to California.  The Yankees then headed to Baltimore and finished out May by taking two of three.

The key series in April was the sweep of the Rangers, as it gave the Yankees an extra win over expectations.

The Yankees scored 118 runs during April, about 5.6 per game.  Here’s how the hitters performed.

Player pa h 2b 3b hr bb hbp so sb cs gdp avg obp slg wOBA br
Robinson Cano 83 30 4 1 7 5 1 10 2 2 2 .390 .434 .740 .492 19
Derek Jeter 98 31 4 1 4 3 1 8 3 1 2 .330 .357 .521 .379 15
Jorge Posada 66 18 4 0 5 7 1 9 0 0 1 .310 .394 .638 .435 13
Alex Rodriguez 96 21 6 2 2 11 1 13 1 1 2 .250 .344 .440 .345 12
Nick Swisher 83 18 4 2 2 8 2 18 0 0 1 .247 .337 .438 .343 11
Brett Gardner 63 18 2 1 0 6 1 8 8 1 1 .321 .397 .393 .360 10
Curtis Granderson 82 16 2 2 1 9 0 16 4 0 0 .219 .305 .342 .292 8
Nick Johnson 81 8 2 0 1 21 2 21 0 1 1 .138 .383 .224 .318 8
Mark Teixeira 100 11 4 0 2 17 2 18 0 0 4 .136 .300 .259 .273 7
Marcus Thames 18 10 3 0 1 2 0 3 0 0 0 .625 .667 1.000 .695 7
Francisco Cervelli 15 3 0 0 0 1 1 0 0 0 0 .231 .333 .231 .285 1
Randy Winn 13 1 0 0 0 0 0 5 0 0 0 .077 .077 .077 .069 -1
Total 798 185 35 9 25 90 12 129 18 6 14 .266 .360 .450 .358 111

wOBA: Weighted on-base average
br: Total Linear weights batting runs, not position-adjusted or compared to average/replacement level

Robinson Cano obviously stormed out of the gate, as did Jorge Posada.  Derek Jeter and Brett Gardner were also strong at the start.  The rest of the starters were a bit underwhelming, although Marcus Thames did very well in his part-time role.

On the pitching side, it was all about the starting pitchers.

pitcher g gs ip h r er hr bb hbp k ra era fip rsar
CC Sabathia 5 5 34.7 25 13 12 2 12 1 28 3.38 3.12 3.46 8.9
Andy Pettitte 5 5 34.0 28 8 8 1 11 1 25 2.12 2.12 3.17 13.4
A.J. Burnett 5 5 33.3 31 10 9 1 9 3 20 2.70 2.43 3.47 11.0
Javier Vazquez 4 4 20.0 25 20 20 5 11 1 18 9.00 9.00 6.45 -7.4
Phil Hughes 3 3 18.0 6 4 4 1 11 0 18 2.00 2.00 3.76 7.4
Total 22 22 140 115 55 53 10 54 6 109 3.54 3.41 3.86 33.3

rsar: runs saved above replacement level, calculated as n times league average RA minus pitcher RA time innings pitched, where n = 1.25 for starters and 1.15 for reliever.

With one notable exception, the starting pitching was outstanding to start the season.  CC Sabathia, Andy Pettitte, A.J. Burnett and Phil Hughes combined for about 40 runs saved above replacement level in 18 games.  How good is that?  To put it in perspective, if you had that rate of performance from your first four starting pitchers over a full season (132 games) you’d be 30 wins above a theoretical replacement level team.  If replacement level is 60 wins, you’d win 90 games if the only thing you had was these four pitchers plus replacement level everywhere else.

The bullpen wasn’t quite as happy of a tale.

pitcher g gs ip h r er hr bb hbp k ra era fip rsar
Joba Chamberlain 11 0 10.3 10 4 4 1 3 0 10 3.48 3.48 3.39 2.0
Mariano Rivera 10 0 9.0 3 0 0 0 2 1 9 0.00 0.00 2.20 5.2
Alfredo Aceves 6 0 8.7 8 5 4 1 4 1 1 5.19 4.15 6.20 0.0
Chan Ho Park 3 0 5.7 6 4 3 2 0 0 3 6.35 4.76 6.73 -0.7
David Robertson 7 0 5.0 10 6 6 1 1 1 8 10.80 10.80 3.80 -3.1
Damaso Marte 9 0 4.7 4 3 3 1 3 1 3 5.79 5.79 7.27 -0.3
Sergio Mitre 3 0 4.3 2 1 1 0 2 0 2 2.08 2.08 3.66 1.5
Boone Logan 3 0 2.3 3 1 1 0 2 0 2 3.86 3.86 4.06 0.4
Total 52 0 50 46 24 22 6 17 4 38 4.32 3.96 4.50 -2.2

Before Joba Chamberlain became some hybrid of Juan Acevedo and Jose Veras, he was decent in April and of course Mo was Mo.  The only real glaring weak spot was David Robertson, although in six innings anyone can look lousy, and his FIP was ok.

I don’t have the defensive data to look at the April split, although the team had a collective FIP of 4.03 compared to an ERA of 3.55.  If you want to ascribe the entirety of that difference to the defense, they’d have been around a +10 overall.  Of course, just because you need a large sample size of BABIP to ascertain a pitcher’s real skill doesn’t mean it’s not there, so it’s likely that at least some of that difference is due to the pitchers.

Anyway, unlike many recent Yankee teams, the Yankees started out well, which was nice.

--Posted at 11:56 am by SG / 44 Comments | - (0)




Tuesday, May 11, 2010

NJ.com: Carig: Yankees to call up first baseman Juan Miranda

The Yankees are planning on calling up first baseman Juan Miranda from the minor leagues.DETROIT—In hopes of adding some pop to their depleted ranks, the Yankees will call up Juan Miranda today, a person with knowledge of the situation confirmed. The move was first reported by the New York Post.

It makes sense with Nick Johnson’s career-ending injury.  Miranda had an average projection of around .256/.330/.428, which is a wOBA of around .331.  That’s essentially league average, which is replacement level for a DH.  However, if we look at him as the left-handed half of a DH platoon, he’d have a wOBA of .311 vs. LHP and a wOBA of .338 vs. RHP using regressed platoon splits.  If we add that to Thames’s estimated .342 wOBA vs. LHP, it’s a wOBA of around .339 for the platoon.  That’s not close to Nick Johnson’s revised projected wOBA of .372, but it’s a hair above replacement level.  For 400 PAs, the difference between Johnson and that platoon would be around 11 runs, and the difference between the platoon and a replacement level DH would be about 3 runs.

So it’s not great, but it’s not likely to be the difference between making the postseason or not. 

--Posted at 2:25 pm by SG / 22 Comments | - (0)



How Good Are The 2010 Yankees Right Now (May 11)?

Heading into 2010, the Yankees looked like a team that projected to win around 96-97 games.

A lot of that was based on an offense that projected to be the best in baseball by most projection systems.  Here’s how the primary starting lineup looked on a per game basis using their pre-season CAIRO projections for offense and defense.

 Player (projected)  Pos PA  OBP Outs  BR RS
 Derek Jeter SS  5.0  .371  3.1  0.69  -0.03 
 Nick Johnson DH  5.0  .412  2.9  0.73  0.00 
 Mark Teixeira 1B  5.0  .379  3.1  0.84  0.02 
 Alex Rodriguez 3B  5.0  .389  3.1  0.89  -0.03 
 Robinson Cano 2B  5.0  .348  3.3  0.73  0.00 
 Jorge Posada C  5.0  .352  3.2  0.70  -0.03 
 Curtis Granderson  CF 4.6  .338  3.0   0.64  0.04 
 Nick Swisher RF  4.0  .355  2.6  0.55  0.00 
 Brett Gardner LF  4.0  .348  2.6  0.48  0.02 
 Total  42.6    27.0  6.25  -0.01 

PA: # of PA in a single game
OBP:projected OBP
Outs: Outs made at the plate, equals PA times (1 minus OBP)
BR: Linear weights batting runs for listed PA

Here’s how the primary lineup has actually performed so far.

 Player (actual)  Pos PA  OBP Outs  BR RS
 Derek Jeter SS  5.0  .324  3.4  0.63  -0.10 
 Nick Johnson DH  5.0  .388  3.1  0.57  -0.03 
 Mark Teixeira 1B  5.0  .336  3.3  0.61  0.06 
 Alex Rodriguez 3B  5.0  .381  3.1  0.73  0.05 
 Robinson Cano 2B  5.0  .406  3.0  1.01  0.04 
 Jorge Posada C  5.0  .365  3.2  0.84  -0.06 
 Curtis Granderson  CF 4.6  .311  3.2   0.52  0.10 
 Nick Swisher RF  4.0  .394  2.4  0.73  -0.02 
 Brett Gardner LF  4.0  .418  2.3  0.66  0.10 
 Total  42.6    26.9  6.30  0.14 

In actuality, despite poor starts by several players, the primary starting lineup has actually exceeded those projections slightly so far this season, with the better than expected play by Robinson Cano, Jorge Posada and Nick Swisher making up for the poorer than expected play by Alex Rodriguez, Mark Teixeira and Derek Jeter. They’ve also been better defensively thanks to better than expected play by Alex Rodriguez and Robinson Cano primarily.

The problem is that the desired primary starting lineup is not the lineup that the Yankees can run out there right now with Curtis Granderson and Nick Johnson on the shelf.  While Granderson should be back relatively soon, Nick Johnson plus wrist injury is not something I’d expect a speedy return from.

We also have more information after 31 games which we can use to revise our pre-season projections somewhat, although the sample size is still small enough that the pre-season projections should still be the bulk of what we expect going forward.

If we assume that Joe Girardi has finally figured out that Marcus Thames in LF is not an option, here’s how the Yankees’ primary lineup at this point in time would project going forward.

Player (revised projection) Pos PA OBP Outs BR RS
Derek Jeter SS 5.0 .366 3.2 0.68 -0.03
Brett Gardner CF 5.0 .355 3.2 0.62 0.08
Mark Teixeira 1B 5.0 .375 3.1 0.82 0.03
Alex Rodriguez 3B 5.0 .388 3.1 0.87 -0.02
Robinson Cano 2B 5.0 .354 3.2 0.76 0.00
Jorge Posada C 4.8 .353 3.1 0.69 -0.04
Nick Swisher RF 4.0 .359 2.6 0.57 0.00
Marcus Thames DH 4.0 .300 2.8 0.49 0.00
Randy Winn LF 4.0 .314 2.7 0.42 0.06
Total 41.8 27.0 5.92 0.07

If we use the Yankees’ current RA against of 3.88 with the original projected starting lineup, we get a Pythagenpat winning percentage of .715, or 116 wins.  If you instead use the revised projections of the current starting lineup, you get a Pythagenpat winning percentage of .700.  That’s 113 wins.  The problem here is this alignment projects that Gardner in CF and Winn in LF is a better defensive alignment than Gardner in LF and Granderson in CF, and I think that’s overrating Winn and underrating Gardner in LF.  I don’t think it’s more than a wash, which makes it more like a .693/112 win team.  Even factoring that in, over a subset of n games where n is only a portion of 162 games, that’s not really that big of a difference.  Maybe a win or two?  If Nick Johnson is out for the year, a Juan Miranda/Thames DH platoon is probably a bit better than straight Thames as well.

Now obviously, you’re not going to get 162 games out of your starting lineup, so we have to temper those 100+ win estimates down to a more reasonable estimate, but I’m just looking at the delta for now.  We also need to assume that moving some of the bench guys to the starting lineup also weakens the bench somewhat.  We also can’t assume the Yankees will maintain a 3.88 RA going forward.  I don’t have time to do a detailed breakdown of the pitching, but I’ll summarize it.  Right now I’d project them to end the season at 709 runs allowed, an overall RA against of 4.38, which means an RA of around 4.53 going forward.  That’s assuming some regression by the starters, which is bad for four of the five, but good for the fifth starter who will not be named.  It’s also based on improvement by the bullpen, and it’s an overall improvement of about 20 runs from their pre-season runs allowed projection.  If that’s the case, the primary lineup would be more like a 108 win team, with the currently revised and re-projected lineup being more like a 104 win team, again with the caveat that we need to temper that down to account for the bench and possible future injuries.

Right now, the Yankees are still about five wins ahead of their original projected pace according to my Monte Carlo simulator.  They are projected at 101.6 wins, and with a 48.4% chance at the division and a 79.7% chance at the postseason, which is the best probability of any team.  Actually, here’s the whole list.

Team W pW w+/- ppo% opo%
Yankees 101.6 96.1 5.5 79.7% 63.0%
Cardinals 95.3 90.6 4.7 72.8% 50.9%
Rays 99.4 91.2 8.1 72.4% 46.1%
Phillies 94.5 89.7 4.8 67.2% 48.0%
Twins 89.8 83.1 6.7 61.0% 34.8%
Rangers 86.9 84.4 2.5 52.0% 38.9%
Giants 86.2 81.1 5.1 37.9% 23.3%
Red Sox 88.8 92.9 -4.1 31.6% 53.0%
Rockies 84.1 83.8 0.3 29.4% 30.3%
Athletics 81.7 79.2 2.5 28.6% 23.8%
Braves 84.5 88.3 -3.8 28.0% 42.9%
Padres 82.5 75.9 6.6 26.0% 13.2%
Tigers 81.7 77.9 3.8 25.1% 19.9%
Dodgers 82.0 86.3 -4.3 23.7% 38.5%
Brewers 81.6 81.6 0.0 21.2% 23.5%
Reds 81.6 80.6 1.0 20.0% 21.3%
Mets 80.5 76.1 4.4 18.4% 13.0%
Cubs 80.2 83.1 -2.9 17.7% 27.2%
Mariners 76.0 81.4 -5.4 13.6% 29.4%
Nationals 78.0 74.8 3.2 12.9% 11.1%
Angels 74.3 78.0 -3.7 12.5% 21.6%
Marlins 77.6 80.0 -2.4 11.6% 19.3%
White Sox 75.4 79.8 -4.4 11.3% 24.8%
Diamondbacks 76.7 82.2 -5.5 10.3% 25.6%
Indians 74.0 79.9 -5.9 7.5% 25.4%
Royals 67.8 71.5 -3.7 3.0% 9.3%
Pirates 68.5 72.3 -3.8 2.4% 7.6%
Blue Jays 70.6 65.1 5.5 1.4% 1.9%
Orioles 66.7 74.6 -7.9 0.6% 8.3%
Astros 61.5 68.8 -7.3 0.5% 4.4%

pW: Re-projected wins
opW: Original projected wins
pW+/-:pW - opW

So I guess my initial assertion that the Yankees at this moment aren’t as good as they projected to be is technically true, but not significantly so.  Apparently a two-game losing streak doesn’t mean it’s time to panic.

--Posted at 10:02 am by SG / 46 Comments | - (0)




Friday, May 7, 2010

Yankees.com: Six-run sixth powers Yankees past Boston

BOSTON—Nick Swisher belted a three-run homer and Josh Beckett came unhinged in a wild six-run sixth inning as the Yankees pounded their way to a 10-3 victory over the Red Sox on Friday at Fenway Park.

Swisher swatted a hanging breaking ball into the center-field camera stand for his sixth homer of the year in the fourth, giving New York the jump on Beckett, but it could have had no idea how quickly it would unravel for the hard-throwing righty.

The sixth-inning implosion would force a yellow “6” to be slotted into the Green Monster, as Beckett dusted Francisco Cervelli for a run-scoring walk, Randy Winn logged an RBI single and Derek Jeter was hit in the No. 2 on his back to force in another run.

Beckett allowed run-scoring hits to Marcus Thames and Mark Teixeira before Red Sox manager Terry Francona finally brought out the hook. Alex Rodriguez logged a sacrifice fly before the carnage was complete against Beckett, who allowed nine runs on nine hits in 5 1/3 innings.

The hearty cushion provided plenty of breathing room for Phil Hughes, who remained undefeated in his past nine starts dating back to last season. Hughes completed seven strong innings, limiting the Red Sox to a pair of David Ortiz RBIs—a fourth-inning sacrifice fly and a run-scoring single in the sixth.

I thought I could go out for dinner and some Dos Equis and if I was back by midnight I could catch the last six innings, but to my surprise the game was over.

The win was good, but this wasn’t.

Cano, Johnson exit with injuries

I’d expect Cano to be ok in a few days, but Johnson I’m expecting is done for the year.  Are we ready for Juan Miranda, DH?

--Posted at 11:02 pm by SG / 35 Comments | - (0)




Thursday, May 6, 2010

Yankee WAR Pie Chart Through Games of May 5, 2010

At 19-8, the Yankees have played at a pace that the mighty 1998 Yankees would have been proud of.  More impressively, they were able to do it through what on paper looked like the hardest part of their schedule, although our estimates of the strength of the opposition may change as we move through the season.

So why have the Yankees been so good so far?  It’s Pie Chart time!

WAR stands for wins above replacement.  For position players it consists of batting runs above position-adjusted replacement level plus defense saved compared to average using an average of zone rating and UZR.  For pitchers it’s just runs saved compared to a a replacement level pitcher using runs allowed per nine.  These are context-neutral values, so they aren’t going to necessarily line up with actual game values once you factor in context.

Negative values don’t work with pie charts, so here’s the full list:

 Player  WAR
 Andy Pettitte 1.5 
 Robinson Cano 1.5 
 A.J. Burnett 1.4 
 CC Sabathia 1.2 
 Phil Hughes 1.1 
 Brett Gardner 0.9 
 Jorge Posada 0.7 
 Nick Swisher 0.7 
 Alex Rodriguez 0.6 
 Mariano Rivera 0.5 
 Curtis Granderson 0.4 
 Derek Jeter 0.4 
 Marcus Thames 0.4 
 Francisco Cervelli 0.3 
 Joba Chamberlain 0.3 
 Sergio Mitre 0.2 
 Alfredo Aceves 0.1 
 Boone Logan 0.1 
 Nick Johnson 0.0 
 Damaso Marte 0.0 
 Greg Golson 0.0 
 Mark Teixeira 0.0 
 Chan Ho Park -0.1 
 Randy Winn -0.1 
 Mark Melancon -0.2 
 Ramiro Pena -0.2 
 David Robertson -0.6 
 Javier Vazquez -1.1 

As a team, the Yankees have been 10.2 wins above replacement level.  I set replacement level at around 50 wins per 162 games, so over 27 games a replacement level team would win about 8.3 games.  So those eight wins plus the 10.2 WAR = 18.5 wins, which is essentially what the Yankees have actually done.

Random fun with small sample sizes:

- Andy Pettitte, A.J. Burnett, CC Sabathia and Phil Hughes have combined for more than half of the team WAR at 5.3.

- Robinson Cano has been more valuable Alex Rodriguez, Curtis Granderson, Derek Jeter and Mark Teixeira COMBINED.

- TSBG = 0.9 WAR.  A-Rod + Jeter + Teixeira = 0.9 WAR.

- The Yankee bullpen has combined for 0.4 WAR.  Mariano Rivera has been worth 0.5 WAR.

Anyway, as always, remember that sample size is an issue, and that we should still expect players to play closer to how they projected to play going forward than how they’ve done so far this year.  However, what’s happened so far can inform our going forward projections, so we shouldn’t ignore that either.

--Posted at 8:56 am by SG / 58 Comments | - (0)




Wednesday, May 5, 2010

Yankees.com: Yankees hang on for fourth straight win

NEW YORK—Nick Johnson and Nick Swisher belted solo homers, while Andy Pettitte hurled five sharp innings before exiting as the Yankees defeated the Orioles, 7-5, completing a series sweep at Yankee Stadium.

Pettitte limited the Orioles to one run on six hits, getting the benefit of three double-play grounders, but yielded the mound duties to long reliever Sergio Mitre for the sixth inning.

Permitting just a bases-loaded walk to Nolan Reimold in the fourth, Pettitte owns his lowest career ERA (2.08) through six starts of any season and is now undefeated in his past nine starts against Baltimore.

Another win, but another potential injury scare, this time with Andy Pettitte.  Nick Johnson had his best game of the year, raising his batting average by .037 points, and his SLG by .09.  The bullpen, well, let’s not go there.  Although I will say that I don’t think Girardi was playing platoon percentages when he made his pitching changes, I think he was trying to get some of the relievers some work in what seemed like a low leverage situation at the time.  That they didn’t execute isn’t his fault.

Andy Pettitte Update: Chad Jennings is reporting that:

This is the latest from the Yankees regarding Andy Pettitte:

MRI results, taken today at NewYork-Presbyterian Hospital, on Andy Pettitte, revealed mild inflammation of his left elbow. It will be treated conservatively and will be evaluated on a daily basis at this point.

--Posted at 3:38 pm by SG / 68 Comments | - (0)




Friday, April 30, 2010

Gaps Between Projected and Actual 2010 wOBA through April 29*

 Rank  player team  pa a_woba  p_woba diff
 1  Colby Rasmus  Cardinals 78  .509  .336   11.7 
 2   Robinson Cano  Yankees 90   .504  .362   11.1 
 3  Kelly Johnson  Diamondbacks 89  .483  .345   10.7 
 4  Vernon Wells  Blue Jays 97  .440  .325   9.7 
 5  Justin Morneau  Twins 91  .477  .361   9.1 
 6  Paul Konerko  White Sox 88  .458  .349   8.4 
 7  Ivan Rodriguez  Nationals 64  .408  .271   7.6 
 8  Nelson Cruz  Rangers 74  .475  .360   7.4 
 9  Casey McGehee  Brewers 90  .414  .320   7.3 
 10  Austin Jackson  Tigers 104  .380  .299   7.2 
 11  Alex Gonzalez  Blue Jays 98  .362  .280   7.0 
 12  Ty Wigginton  Orioles 72  .441  .332   6.8 
 13  Martin Prado  Braves 98  .404  .331   6.2 
 14  Andruw Jones  White Sox 66  .426  .318   6.2 
 15  Franklin Gutierrez  Mariners 93  .393  .318   6.1 
 16  Kosuke Fukudome  Cubs 74  .424  .330   6.0 
 17  Carl Crawford  Rays 96  .406  .334   6.0 
 18  Jose Guillen  Royals 94  .388  .316   5.9 
 19  Daric Barton  Athletics 95  .404  .333   5.8 
 20  Michael Bourn  Astros 82  .379  .300   5.6 
 21  Pablo Sandoval  Giants 93  .443  .374   5.6 
 22  Geovany Soto  Cubs 66  .443  .351   5.2 
 23  Nyjer Morgan  Nationals 94  .362  .301   5.0 
 24   Jorge Posada  Yankees 65   .438  .351   4.9 
 25  Andy LaRoche  Pirates 61  .415  .325   4.7 
 26  Josh Willingham  Nationals 92  .409  .350   4.7 
 27  Bengie Molina  Giants 68  .378  .299   4.7 
 28  Jim Edmonds  Brewers 66  .382  .304   4.5 
 29  Adrian Gonzalez  Padres 94  .423  .370   4.4 
 30  Ryan Braun  Brewers 103  .434  .385   4.4 
 31  Andre Ethier  Dodgers 82  .422  .364   4.2 
 32  Elvis Andrus  Rangers 85  .342  .286   4.1 
 33  Juan Uribe  Giants 69  .370  .303   4.0 
 34  Magglio Ordonez  Tigers 102  .405  .360   3.9 
 35  Shin-Soo Choo  Indians 93  .431  .383   3.9 
 36  Jayson Werth  Phillies 88  .411  .361   3.9 
 37  Cliff Pennington  Athletics 86  .346  .294   3.9 
 38  Jeff Francoeur  Mets 90  .356  .308   3.8 
 39  Scott Podsednik  Royals 88  .368  .319   3.8 
 40  Adam LaRoche  Diamondbacks 78  .416  .361   3.7 
 41  Jorge Cantu  Marlins 94  .369  .324   3.7 
 42  Marlon Byrd  Cubs 91  .378  .334   3.5 
 43  Evan Longoria  Rays 96  .409  .367   3.5 
 44  Chase Utley  Phillies 98  .426  .386   3.4 
 45  Chase Headley  Padres 93  .360  .318   3.4 
 46  Ryan Doumit  Pirates 79  .378  .329   3.4 
 47  Carlos Gonzalez  Rockies 79  .390  .343   3.2 
 48  Rickie Weeks  Brewers 109  .373  .339   3.2 
 49  David DeJesus  Royals 99  .372  .335   3.2 
 50  Casey Blake  Dodgers 80  .372  .326   3.2 
 51  Rafael Furcal  Dodgers 90  .355  .315   3.2 
 52  Dan Uggla  Marlins 94  .385  .346   3.2 
 53  Brandon Inge  Tigers 96  .342  .304   3.1 
 54  Adam Rosales  Athletics 60  .369  .310   3.1 
 55  Kurt Suzuki  Athletics 67  .365  .313   3.0 
 56  Miguel Cabrera  Tigers 105  .435  .402   3.0 
 57  Jason Heyward  Braves 85  .372  .332   3.0 
 58  B.J. Upton  Rays 91  .372  .335   2.9 
 59  Carlos Gomez  Brewers 70  .336  .288   2.9 
 60  Ryan Theriot  Cubs 104  .343  .311   2.9 
 61  Johnny Damon  Tigers 97  .372  .339   2.8 
 62  David Wright  Mets 96  .406  .373   2.7 
 63  Matt Kemp  Dodgers 104  .382  .352   2.7 
 64  David Freese  Cardinals 72  .361  .318   2.7 
 65  Mark Teahen  White Sox 66  .365  .318   2.7 
 66  Stephen Drew  Diamondbacks 88  .367  .332   2.7 
 67  Scott Rolen  Reds 75  .373  .334   2.5 
 68  Chris Snyder  Diamondbacks 62  .377  .331   2.5 
 69  Jeff Keppinger  Astros 69  .348  .307   2.4 
 70  Ian Stewart  Rockies 88  .390  .358   2.4 
 71  Yuniesky Betancourt  Royals 86  .325  .293   2.4 
 72  Edgar Renteria  Giants 82  .341  .307   2.4 
 73  Carlos Ruiz  Phillies 66  .359  .318   2.4 
 74  Torii Hunter  Angels 93  .378  .350   2.3 
 75  Alberto Callaspo  Royals 92  .368  .341   2.2 
 76  Jason Kendall  Royals 85  .322  .292   2.2 
 77  Ryan Ludwick  Cardinals 97  .374  .348   2.1 
 78  Kendry Morales  Angels 91  .379  .352   2.1 
 79  Casey Kotchman  Mariners 81  .358  .329   2.0 
 80  Gaby Sanchez  Marlins 75  .377  .349   1.9 
 81  Josh Hamilton  Rangers 89  .376  .353   1.8 
 82  Adam Lind  Blue Jays 98  .373  .354   1.7 
 83   Brett Gardner  Yankees 70   .346  .319   1.6 
 84  Placido Polanco  Phillies 90  .343  .322   1.6 
 85  David Eckstein  Padres 82  .304  .282   1.6 
 86  Luis Castillo  Mets 73  .322  .297   1.6 
 87  Vladimir Guerrero  Rangers 89  .391  .372   1.4 
 88  Carlos Guillen  Tigers 69  .371  .347   1.4 
 89  Albert Pujols  Cardinals 96  .449  .432   1.4 
 90  Blake DeWitt  Dodgers 64  .331  .306   1.4 
 91  Mark Reynolds  Diamondbacks 92  .378  .361   1.3 
 92  Hideki Matsui  Angels 96  .362  .347   1.3 
 93  Ichiro Suzuki  Mariners 98  .347  .332   1.3 
 94  Ian Desmond  Nationals 71  .311  .291   1.2 
 95  Jose Bautista  Blue Jays 101  .334  .320   1.2 
 96  Michael Cuddyer  Twins 99  .351  .338   1.2 
 97  Corey Hart  Brewers 67  .351  .333   1.1 
 98  Russell Martin  Dodgers 80  .356  .342   1.0 
 99  Orlando Hudson  Twins 101  .336  .325   1.0 
 100  Will Venable  Padres 78  .334  .322   0.8 
 101  Alcides Escobar  Brewers 81  .307  .297   0.7 
 102  Bobby Abreu  Angels 97  .358  .350   0.7 
 103  Cesar Izturis  Orioles 65  .291  .279   0.7 
 104  Alfonso Soriano  Cubs 77  .349  .340   0.6 
 105   Nick Swisher  Yankees 83   .359  .350   0.6 
 106  Ryan Sweeney  Athletics 96  .331  .323   0.6 
 107  Howie Kendrick  Angels 84  .341  .334   0.6 
 108  Jason Bay  Mets 93  .367  .361   0.5 
 109  Alex Rios  White Sox 85  .337  .331   0.4 
 110  Adrian Beltre  Red Sox 81  .332  .326   0.4 
 111  Brian McCann  Braves 78  .365  .359   0.3 
 112  Luis Valbuena  Indians 61  .311  .306   0.3 
 113  John Baker  Marlins 62  .325  .320   0.3 
 114  Yadier Molina  Cardinals 84  .318  .315   0.2 
 115  Marco Scutaro  Red Sox 95  .333  .331   0.1 
 116  Miguel Tejada  Orioles 77  .333  .332   0.1 
 117  Joey Votto  Reds 95  .387  .386   0.0 
 118  Jason Bartlett  Rays 98  .327  .327   0.0 
 119  Garrett Jones  Pirates 98  .330  .331   -0.1 
 120  Erick Aybar  Angels 92  .310  .313   -0.2 
 121  Dustin Pedroia  Red Sox 103  .362  .364   -0.2 
 122  Scott Sizemore  Tigers 66  .302  .307   -0.3 
 123  Mike Fontenot  Cubs 60  .315  .322   -0.4 
 124  Asdrubal Cabrera  Indians 92  .321  .327   -0.4 
 125  John Buck  Blue Jays 67  .292  .300   -0.5 
 126  Andrew McCutchen  Pirates 101  .342  .348   -0.5 
 127  Joe Mauer  Twins 91  .391  .398   -0.6 
 128  Carlos Pena  Rays 91  .374  .382   -0.6 
 129  Pat Burrell  Rays 64  .324  .335   -0.6 
 130  Jack Wilson  Mariners 65  .273  .287   -0.8 
 131  Adam Dunn  Nationals 92  .363  .372   -0.8 
 132   Derek Jeter  Yankees 95   .343  .352   -0.8 
 133  Dexter Fowler  Rockies 89  .332  .343   -0.8 
 134  Nick Markakis  Orioles 99  .359  .369   -0.9 
 135  Jay Bruce  Reds 86  .335  .347   -0.9 
 136  Troy Tulowitzki  Rockies 96  .358  .370   -1.0 
 137  Pedro Feliz  Astros 76  .275  .291   -1.1 
 138  Juan Rivera  Angels 83  .304  .319   -1.1 
 139  Chipper Jones  Braves 73  .367  .385   -1.1 
 140  Aubrey Huff  Giants 86  .306  .322   -1.2 
 141  Kevin Youkilis  Red Sox 98  .372  .388   -1.4 
 142  Adam Kennedy  Nationals 64  .274  .299   -1.4 
 143  Rick Ankiel  Royals 67  .306  .331   -1.4 
 144  Delmon Young  Twins 67  .293  .318   -1.4 
 145  Cristian Guzman  Nationals 83  .288  .311   -1.7 
 146  Cameron Maybin  Marlins 92  .296  .317   -1.7 
 147  Kyle Blanks  Padres 79  .305  .330   -1.7 
 148  Gregg Zaun  Brewers 67  .271  .303   -1.9 
 149  Jhonny Peralta  Indians 79  .295  .323   -2.0 
 150  Brandon Phillips  Reds 96  .300  .324   -2.0 
 151  Angel Pagan  Mets 77  .284  .314   -2.0 
 152  Orlando Cabrera  Reds 88  .270  .298   -2.1 
 153  J.J. Hardy  Twins 85  .288  .318   -2.2 
 154  Billy Butler  Royals 96  .351  .378   -2.3 
 155  Rod Barajas  Mets 67  .245  .286   -2.4 
 156  Ryan Howard  Phillies 96  .352  .382   -2.5 
 157  Mark DeRosa  Giants 73  .295  .335   -2.5 
 158   Curtis Granderson  Yankees 83   .311  .346   -2.5 
 159  Milton Bradley  Mariners 62  .319  .367   -2.6 
 160  Raul Ibanez  Phillies 81  .314  .351   -2.6 
 161  Ronny Cedeno  Pirates 78  .243  .281   -2.6 
 162  Jason Kubel  Twins 83  .315  .352   -2.7 
 163  Hanley Ramirez  Marlins 96  .364  .397   -2.7 
 164  Matt Holliday  Cardinals 91  .348  .384   -2.8 
 165  Cody Ross  Marlins 83  .296  .335   -2.9 
 166  Eric Chavez  Athletics 72  .253  .300   -2.9 
 167  Akinori Iwamura  Pirates 92  .290  .327   -2.9 
 168  Ben Zobrist  Rays 94  .314  .352   -3.2 
 169  Carlos Quentin  White Sox 87  .323  .364   -3.2 
 170  Chone Figgins  Mariners 95  .292  .332   -3.3 
 171  Jose Reyes  Mets 83  .285  .331   -3.4 
 172  Drew Stubbs  Reds 79  .283  .332   -3.4 
 173  Everth Cabrera  Padres 73  .255  .309   -3.4 
 174  Jerry Hairston  Padres 66  .221  .281   -3.4 
 175  Kevin Kouzmanoff  Athletics 94  .273  .317   -3.6 
 176  Todd Helton  Rockies 80  .321  .373   -3.6 
 177  Skip Schumaker  Cardinals 93  .276  .321   -3.7 
 178  Matt Wieters  Orioles 85  .321  .372   -3.8 
 179  Jonny Gomes  Reds 63  .266  .335   -3.8 
 180  Travis Snider  Blue Jays 79  .266  .323   -3.9 
 181  James Loney  Dodgers 97  .294  .340   -3.9 
 182   Nick Johnson  Yankees 78   .318  .376   -4.0 
 183  Shane Victorino  Phillies 95  .281  .330   -4.1 
 184  Lastings Milledge  Pirates 88  .263  .316   -4.1 
 185  Brendan Ryan  Cardinals 72  .229  .297   -4.2 
 186  Jeff Clement  Pirates 69  .264  .337   -4.4 
 187  Travis Hafner  Indians 77  .289  .355   -4.4 
 188  Nolan Reimold  Orioles 67  .281  .356   -4.4 
 189  Troy Glaus  Braves 80  .278  .343   -4.5 
 190  Garrett Atkins  Orioles 65  .251  .332   -4.6 
 191  Denard Span  Twins 104  .302  .352   -4.6 
 192  Rajai Davis  Athletics 87  .248  .309   -4.7 
 193  Prince Fielder  Brewers 101  .351  .406   -4.8 
 194  Luke Scott  Orioles 72  .285  .362   -4.8 
 195  Justin Upton  Diamondbacks 97  .306  .364   -4.9 
 196  Alexei Ramirez  White Sox 73  .240  .318   -4.9 
 197   Alex Rodriguez  Yankees 94   .338  .399   -5.0 
 198  Nate McLouth  Braves 65  .248  .338   -5.1 
 199  Michael Young  Rangers 97  .280  .341   -5.1 
 200  Lyle Overbay  Blue Jays 93  .266  .334   -5.5 
 201  Melky Cabrera  Braves 83  .238  .315   -5.5 
 202  Yunel Escobar  Braves 88  .263  .336   -5.6 
 203  Derrek Lee  Cubs 99  .307  .373   -5.7 
 204  Gordon Beckham  White Sox 87  .287  .364   -5.9 
 205  Matt LaPorta  Indians 62  .243  .354   -6.0 
 206  Victor Martinez  Red Sox 83  .287  .371   -6.1 
 207  Brandon Wood  Angels 66  .206  .314   -6.2 
 208  A.J. Pierzynski  White Sox 69  .206  .310   -6.2 
 209  Juan Pierre  White Sox 92  .222  .303   -6.5 
 210  Hunter Pence  Astros 81  .252  .348   -6.8 
 211  Julio Borbon  Rangers 69  .210  .327   -7.0 
 212  Adam Jones  Orioles 101  .253  .337   -7.4 
 213  Grady Sizemore  Indians 82  .257  .367   -7.8 
 214  J.D. Drew  Red Sox 85  .267  .375   -8.0 
 215   Mark Teixeira  Yankees 96   .267  .390   -10.3 
 216  Carlos Lee  Astros 82  .196  .343   -10.5 
 217  Chris Coghlan  Marlins 82  .189  .344   -11.0 
 218  Aramis Ramirez  Cubs 97  .224  .381   -13.2 

a_woba: 2010 actual weighted on-base average.
p_woba: Average projected wOBA using CHONE, Marcel, Oliver, PECOTA, ZiPS and CAIRO
diff: Difference in run value (a_woba - p_woba) divided by 1.15 times PA

*minimum of 60 PA

--Posted at 12:57 pm by SG / 9 Comments | - (0)




Thursday, April 29, 2010

Yankee Run Values Through Games of April 28, 2010

As promised, here’s how the Yankees look in terms of YTD performance.

Player Team Lg Pos PA H 2B 3B HR BB SO HBP GDP SB CS AVG OBP SLG wOBA BR BRAA BRAR zRS uRS aRS WAR
Robinson Cano Yankees AL 2B 86 30 4 1 6 6 10 1 2 2 2 .390 .430 .701 .468 19 9 12 -2 -3 -2 0.9
Jorge Posada Yankees AL C 65 18 4 0 5 7 8 1 1 0 0 .316 .400 .649 .438 13 5 9 0 0 -1 0.8
Alex Rodriguez Yankees AL 3B 90 20 5 2 2 11 12 1 2 1 1 .260 .356 .455 .353 12 1 5 -1 2 1 0.5
Nick Swisher Yankees AL RF 78 19 4 2 2 9 16 2 1 0 0 .284 .385 .493 .382 12 3 4 1 -1 0 0.5
Curtis Granderson Yankees AL CF 79 17 2 2 2 9 16 0 0 4 0 .243 .329 .414 .327 10 1 3 1 1 1 0.5
Brett Gardner Yankees AL LF 66 18 1 1 0 7 7 1 1 9 1 .310 .394 .362 .348 10 2 3 2 -1 1 0.4
Francisco Cervelli Yankees AL C 21 8 1 0 0 3 1 0 0 0 0 .444 .524 .500 .462 4 2 3 0 0 0 0.3
Marcus Thames Yankees AL LF 16 7 2 0 1 2 4 0 0 0 0 .500 .563 .857 .591 5 3 3 -1 -2 -2 0.2
Derek Jeter Yankees AL SS 90 26 4 0 3 3 8 1 2 3 1 .306 .333 .459 .342 12 1 5 -5 -2 -4 0.2
Ramiro Pena Yankees AL SS 9 1 0 0 0 0 2 0 0 0 0 .111 .111 .111 .100 0 -1 -1 1 0 1 0.0
Nick Johnson Yankees AL 1B 78 8 2 0 1 20 20 2 1 0 1 .143 .385 .232 .318 8 -2 -1 0 0 0 -0.1
Mark Teixeira Yankees AL 1B 92 10 3 0 2 15 18 2 4 0 0 .133 .293 .253 .265 7 -4 -3 1 0 1 -0.2
Randy Winn Yankees AL RF 13 1 0 0 0 0 5 0 0 0 0 .077 .077 .077 .069 -1 -2 -2 0 -1 0 -0.3

wOBA: Weighted on-base average
BR: Linear weights batting runs, not position adjusted
BRAA: Batting runs above an average player, not position-adjusted
BRAR: Batting runs above a replacement level player, position-adjusted
zRS: Runs saved compared to an average defender using zone rating:
uRS: Runs saved compared to an average defender using UZR:
aRS: Average of zRS and uRS
WAR: Wins above replacement, calculated as (BRAR + aRS) divided by 10


Robinson Cano’s been a monster offensively this season.  Here are the AL leaders to this point.

Vernon Wells: 13.5 BRAR
Robinson Cano: 11.7 BRAR
Nelson Cruz: 11.1 BRAR
Justin Morneau: 10.2 BRAR
Miguel Cabrera: 9.5 BRAR
Evan Longoria: 8.8 BRAR
Jorge Posada: 8.7 BRAR
Ty Wigginton: 8.7 BRAR
Joe Mauer: 8.6 BRAR
Alex Gonzalez: 8.5 BRAR

Posada sneaks into this list too.

Unfortunately , Cano’s defense as reflected by both zone rating and UZR to this point takes away some of his value, although we have the standard caveats about the reliability of fielding metrics and the small sample size of 20 games that we need to take into account.

Hopefully Posada won’t need to miss too much time after being hit in the knee last night.

Would you be surprised if I told you that Cano has not been the most valuable Yankee this year?

 Player  Team Lg  Role G  GS IP  TBF H  R ER  HR BB  SO RA  ERA FIP  RSAA RSAR  FRSAR WAR
 Andy Pettitte  Yankees AL SP  4  4  28.0  109  21  4   4  0  9  22  1.29  1.29   2.70  10.5  13.4  8.0  1.3 
 CC Sabathia  Yankees AL SP  5  5  34.7  135  25  13   12  2  12  28  3.38   3.12  3.46  4.9  8.5  6.9   0.8 
 Phil Hughes  Yankees AL SP  3  3  18.0  69  6  4   4  1  11  18  2.00  2.00   3.76  5.3  7.2  3.0  0.7 
 A.J. Burnett  Yankees AL SP  4  4  25.3  107  28  10   9  1  8  16  3.55  3.20   3.75  3.1  5.7  4.2  0.6 
 Mariano Rivera  Yankees AL RP  8  0  7.0  24  3  0   0  0  1  6  0.00  0.00   2.34  3.3  4.0  2.2  0.4 
 Joba Chamberlain  Yankees AL RP  10  0  9.7  41  10  4   4  1  3  10  3.72  3.72   3.41  0.6  1.5  1.9  0.1 
 Sergio Mitre  Yankees AL RP  3  0  4.3  17  2  1   1  0  2  2  2.08  2.08   3.66  1.0  1.4  0.7  0.1 
 Boone Logan  Yankees AL RP  3  0  2.3  12  3  1   1  0  2  2  3.86  3.86   4.06  0.1  0.3  0.3  0.0 
 Damaso Marte  Yankees AL RP  8  0  4.3  21  4  3   3  1  3  3  6.23  6.23   7.58  -1.0  -0.6  -1.1  -0.1 
 Alfredo Aceves  Yankees AL RP  5  0  7.7  36  7  5   4  1  3  1  5.87  4.70   6.20  -1.4  -0.7  -0.8  -0.1 
 Chan Ho Park  Yankees AL RP  3  0  5.7  23  6  4   3  2  0  3  6.35  4.76   6.73  -1.3  -0.8  -1.0  -0.1 
 David Robertson  Yankees AL RP  7  0  5.0  26  10  6   6  1  1  8  10.80  10.80   3.80  -3.6  -3.2  0.8  -0.3 
 Javier Vazquez  Yankees AL SP  4  4  20.0  93  25  20   20  5  11  18  9.00   9.00  6.45  -9.7  -7.6  -2.7   -0.8 

TBF: Total batters faced
FIP: Fielding-independent pitching
RSAA: Runs saved above an average pitcher of the same role over the same # of innings, using RA.
RSAR: Runs saved above a replacement level pitcher (1.2 times average RA) of the same role over the same # of innings
FRSAR: RSAR if we use FIP instead of actual RA
WAR: Wins above replacement (RSAR divided by 10)

Battlecat just keeps on keeping on.

Here’s the whole team sorted by WAR.

 Rank  Player WAR
 1  Andy Pettitte 1.3 
 2  Robinson Cano 0.9 
 3  CC Sabathia 0.8 
 4  Jorge Posada 0.8 
 5  Phil Hughes 0.7 
 6  A.J. Burnett 0.6 
 7  Alex Rodriguez  0.5 
 8  Nick Swisher 0.5 
 9  Curtis Granderson  0.5 
 10  Mariano Rivera  0.4 
 11  Brett Gardner  0.4 
 12  Francisco Cervelli  0.3 
 13  Marcus Thames  0.2 
 14  Derek Jeter 0.2 
 15  Joba Chamberlain  0.1 
 16  Sergio Mitre 0.1 
 17  Boone Logan 0.0 
 18  Player 0.0 
 19  Ramiro Pena 0.0 
 20  Damaso Marte  -0.1 
 21  Alfredo Aceves  -0.1 
 22  Chan Ho Park  -0.1 
 23  Nick Johnson  -0.1 
 24  Mark Teixeira  -0.2 
 25  Randy Winn -0.3 
 26  David Robertson  -0.3 
 27  Javier Vazquez  -0.8 


You know what’d be cool?  If Mark Teixeira and Nick Johnson stopped hitting like Randy Winn.

--Posted at 6:42 am by SG / 32 Comments | - (0)




Friday, April 23, 2010

What Should We Expect Out of The Rest of This West Coast Trip(Los Angeles of Anaheim Edition)?

After winning the first two of a three game set with Oakland and with their best pitcher going in the last game, the Yankees had a chance to sweep and pick up another game on their expectations but unfortunately, it didn’t work out.  However, by taking those two of three they were able to maintain the pace that has them currently looking like they’ll win about 100 games this season. Now it’s on to Orange County, California to take on the Los Angeles Angels of Anaheim. 

The pitching matchups for that series are:

Friday, April 23
A.J. Burnett vs. Ervin Santana

Saturday, April 24
Andy Pettitte vs. Joel Pineiro

Sunday, April 23
Javier Vazquez vs. Scott Kazmir

After starting the season 2-6, California won six of their next seven games, sweeping the one-time juggernaut Blue Jays and then taking the first two games of a four game series with Detroit to get to 8-7.  A blown save by Brian Fuentes in his triumphant return from the DL and then a loss to Justin Verlander in their last two games now has them at an overall record of 8-9.  They’ve scored 67 runs and allowed 83 so far, which gives them a Pythagorean record of 7-10. They’re currently two games out of first place in the AL West.

team lg PA H 2B 3B HR R RBI BB SO HBP GDP SB CS AVG OBP SLG wOBA BR BRAR
Yankees AL 551 127 25 6 17 79 73 75 93 7 10 16 5 .272 .379 .460 .369 83.0 35.8
Twins AL 587 135 24 3 16 80 76 76 84 3 18 8 1 .270 .365 .426 .349 80.1 29.8
Royals AL 574 157 25 1 17 71 66 37 86 3 15 17 4 .296 .343 .443 .343 77.8 28.6
Tigers AL 596 142 34 3 10 67 59 68 101 8 15 5 4 .274 .366 .408 .347 77.6 26.6
Red Sox AL 588 133 37 1 20 65 63 51 109 5 14 5 3 .252 .321 .440 .330 74.8 24.4
Blue Jays AL 604 121 43 1 23 72 69 55 135 5 8 12 1 .225 .300 .438 .317 75.6 23.9
Rays AL 574 129 31 4 17 83 82 54 122 2 10 18 6 .251 .322 .427 .326 72.2 23.1
Angels AL 589 135 32 0 15 63 61 45 108 4 13 12 4 .251 .312 .395 .311 66.7 16.2
Rangers AL 517 109 20 4 11 59 54 44 104 6 9 18 1 .237 .308 .370 .300 56.2 12.0
Athletics AL 593 128 29 1 9 66 64 53 110 6 13 11 2 .243 .315 .354 .300 61.4 10.7
White Sox AL 551 106 18 2 18 57 51 53 83 8 18 14 6 .217 .303 .373 .300 57.2 10.1
Mariners AL 581 128 26 2 6 60 57 57 105 4 10 13 6 .250 .325 .343 .302 58.9 9.2
Orioles AL 590 122 27 3 13 46 44 39 105 7 16 3 3 .225 .285 .358 .284 54.0 3.5
Indians AL 510 97 20 2 10 46 43 49 105 7 14 7 3 .215 .300 .334 .287 47.0 3.3

wOBA: Weighted on-base average
BR: Linear weights batting runs
BRAA: BR above average (not position-adjusted)
BRAR: BR above replacement level (sum of the individual players’ position-adjusted BR above replacement level )

Last year, the Angels hit .285/.350/.441 as a team en route to scoring 883 runs, the second most runs in the league behind the WORLD CHAMPION Yankees.  This year as a team so far they’ve hit a less impressive .252/.316/ .396.  Their team wOBA of .311 is 8th in the league.

Since they lost key players Chone Figgins and John Lackey, the aggregate projections on Anaheim were not too good, generally seeing them no better than most of the other teams in the AL West with a 78-84 record on average.  So far, they haven’t shown much to dispel those projections.

Here’s how their current primary lineup compares to the Yankees as far as their offensive projections.

Player Pos PA Outs BR OBP Player Pos PA Outs BR OBP
Derek Jeter SS 5 3.1 0.69 .372 Erick Aybar SS 5 3.4 0.57 .329
Nick Johnson 1B 5 3.0 0.72 .405 Bobby Abreu RF 5 3.2 0.69 .368
Mark Teixeira DH 5 3.1 0.84 .381 Torii Hunter CF 5 3.3 0.71 .340
Alex Rodriguez 3B 5 3.1 0.87 .387 Hideki Matsui DH 5 3.2 0.69 .356
Robinson Cano 2B 5 3.3 0.70 .338 Kendry Morales 1B 5 3.2 0.70 .338
Jorge Posada C 5 3.2 0.70 .355 Juan Rivera LF 4 2.7 0.51 .317
Curtis Granderson CF 5 3.0 0.66 .341 Howie Kendrick 2B 4 2.7 0.52 .336
Nick Swisher RF 4 2.6 0.56 .360 Mike Napoli C 4 2.6 0.60 .355
Brett Gardner LF 4 2.6 0.47 .341 Brandon Wood 3B 4 2.8 0.46 .297
Total 43 27.0 6.22 .365 Total 41 27.0 5.45 .338

PA: # of PA in a single game
Outs: Outs made at the plate, equals PA times (1 minus OBP)
BR: Linear weights batting runs for listed PA
OBP:projected OBP

And here’s how they compare defensively, again using projections.

Pos Player RS RS/150 Player RS RS/150
C Jorge Posada -0.03 -5 Mike Napoli -0.03 -5
1B Nick Johnson 0.00 0 Kendry Morales 0.03 5
2B Robinson Cano 0.00 -1 Howie Kendrick 0.03 5
3B Alex Rodriguez -0.03 -5 Brandon Wood 0.02 2
SS Derek Jeter -0.03 -4 Erick Aybar 0.04 5
LF Brett Gardner 0.02 3 Juan Rivera 0.05 8
CF Curtis Granderson 0.04 5 Torii Hunter -0.01 -2
RF Nick Swisher 0.00 0 Bobby Abreu -0.08 -11
Total -0.03 -5 0.05 7

RS: Projected runs saved compared to average defensively per game, using an average of projected zone rating and UZR
RS/150: RS pro-rated to 150 games

OVerall they project to have good defenders at most positions, although overall this season they’ve been about two runs below average in both zone rating and UZR>

Califas’s bigger problem has been the pitching staff. 

Rnk team lg Role G GS IP H R ER HR BB IBB HBP SO RA ERA FIP RSAR
4 Yankees AL SP 11 11 66.0 57 27 26 4 26 0 3 56 3.68 3.55 3.61 13.1
12 Angels AL SP 12 12 71.7 70 43 39 16 21 0 1 54 5.40 4.90 5.52 0.5
9 Yankees AL RP 28 0 29.0 30 15 14 4 8 0 1 23 4.66 4.34 4.34 1.7
13 Angels AL RP 33 0 34.3 36 25 22 4 24 0 1 27 6.55 5.77 5.33 -5.3
7 Yankees AL Total 39 11 95.0 87 42 40 8 34 0 4 79 3.98 3.79 3.83 14.7
13 Angels AL Total 45 12 106.0 106 68 61 20 45 0 2 81 5.77 5.18 5.45 -4.8

FIP: Fielding independent pitching
RSAR: Runs saved above replacement.  For starters this is calculated as 1.2 times league average starter RA minus starter RA divided by nine times IP.  For relievers it’s calculated as 1.2 times league average reliever RA minus reliever RA divided by nine times IP
Rnk: AL rank in RSAR

They’ve had problems in both their rotation and their bullpen.

So what should we expect in this series given the matchups?  Using the same methodology used in this post, here are the inputs.

Yankees
Offense: 6.22 runs
Defense: -0.01 runs
Game 1 pitching: 4.3 runs
Game 2 pitching: 4.5 runs
Game 3 pitching: 3.9 runs
Game 3 pitching: 9.5 runs

Los Angeles Angels
Offense: 5.45 runs
Defense: +0.05 runs
Game 1 pitching: 4.8 runs
Game 2 pitching: 4.7 runs
Game 3 pitching: 4.6 runs


Yankee Win Probabilities
Game 1: 58.1%
Game 2: 55.7%
Game 3: 60.3%
Game 3: -100.0%

So adding it up, the Yankees should be expected to go 1.7-1.3 0.1-2.9.

So expect a sweep by the Angels.

 

--Posted at 2:50 pm by SG / 17 Comments | - (0)




Monday, April 19, 2010

What Should We Expect Out of The Upcoming West Coast Trip(Oakland Edition)?

With a strong 9-3 start that has them tied for first place in the loss column in the AL East and already six games ahead of the Red Sox in that same loss column, the Yankees head west for six games.  The first three games are against Oakland, where the pitching matchups are:

Tuesday April 20
Javier Vazquez vs. Gio Gonzalez

Wednesday April 21
Phil Hughes vs. Ben Sheets

Thursday April 22
CC Sabathia vs. Dallas Braden

Oakland’s been a bit of a surprise this year as they are in first place in the AL West with a 9-5 record.  They’ve scored 62 runs and allowed 47 runs, which translates to a Pythagenpat record of… 9-5.

As a team, Oakland’s offense isn’t particularly good whether you look at their projections or how they’ve done so far in 2010. 

 Rank  team lg  PA H  2B 3B  HR R  RBI BB  SO HBP  GDP SB  CS AVG  OBP SLG  wOBA BR  BRAA
 1  Yankees  AL 472  114  24  4   16  69  63  61  76  7   10  15  4  .284  .386   .483  .379  75.2  18.2 
 2  Royals  AL 467  133  22  1   15  63  58  31  64  3   11  17  1  .309  .358   .470  .359  70.3  13.8 
 3  Twins  AL 518  123  23  2   15  69  67  65  74  2   14  8  1  .277  .367   .439  .354  73.0  10.4 
 4  Tigers  AL 483  114  30  2   8  58  50  60  74  7   13  2  3  .275  .375   .414  .354  64.8  6.5 
 5  Blue Jays  AL 494  98  35  1   18  57  55  46  109  4   5  9  1  .223  .300   .431  .315  60.7  0.9 
 6  Red Sox  AL 462  106  31  1   14  48  46  37  86  4   12  5  3  .255  .318   .435  .326  57.7  1.8 
 7  Rays  AL 458  101  23  3   14  62  61  41  97  2   8  17  4  .245  .314   .416  .319  56.1  0.7 
 8  Angels  AL 489  117  26  0   14  52  51  37  91  2   9  9  4  .262  .319   .414  .320  58.2  -0.9 
 9  Athletics  AL 523  117  28  1   7  62  60  46  89  5   11  11  2  .252  .321   .362  .305  56.5  -6.7 
 10  White Sox  AL 484  95  17  1   16  53  48  46  67  8   17  13  5  .222  .308   .379  .305  52.0  -6.5 
 11  Orioles  AL 488  104  23  3   12  42  40  36  87  6   13  3  3  .234  .299   .381  .299  49.8  -9.2 
 12  Rangers  AL 427  93  16  3   10  46  42  30  89  5   8  6  1  .241  .300   .376  .297  43.9  -7.7 
 13  Indians  AL 444  85  17  2   9  45  42  47  89  7   13  7  3  .219  .313   .343  .297  43.8  -9.9 
 14  Mariners  AL 473  102  18  2   5  45  42  47  93  3   7  11  6  .245  .321   .333  .297  45.7  -11.5 

wOBA: Weighted on-base average
BR: Linear weights batting runs
BRAA: BR above average (not position-adjusted)


As a team, they’ve collectively hit .252/.321/.362, although it should be noted that their home park suppresses offense a fair amount (by about 4% on average over the last four seasons).  It’s also probably at least worth mentioning that their 62 runs scored is a little higher than their context-neutral batting runs which could indicate some good fortune offensively so far.  For comparison’s sake, the Yankees have actually scored six fewer runs than they should have if you go by their context-neutral batting runs

You can see the difference more starkly if you line up their primary starting nine next to the Yankee lineup and compare their projections for 2010.

 Player  Pos PA  Outs BR  OBP  Player  Pos  PA  Outs  BR  OBP
 Derek Jeter SS  5  3.1  0.69  .372   Rajai Davis CF 5   3.3  0.61  .335 
 Nick Johnson DH  5  3.0  0.72  .405   Daric Barton 1B 5   3.2  0.64  .356 
 Mark Teixeira 1B  5  3.1  0.84  .381   Ryan Sweeney RF 5   3.3  0.60  .345 
 Alex Rodriguez 3B  5  3.1  0.87  .387   Kevin Kouzmanoff 3B 5   3.4  0.62  .312 
 Robinson Cano 2B  5  3.3  0.70  .338   Kurt Suzuki C 4   2.9  0.51  .333 
 Jorge Posada C  5  3.2  0.70  .355   Eric Chavez DH 4   2.8  0.44  .306 
 Curtis Granderson  CF 5  3.0  0.66   .341  Mark Ellis 2B  4  2.7  0.45  .316 
 Nick Swisher RF  4  2.6  0.56  .360   Travis Buck LF 4   2.7  0.48  .332 
 Brett Gardner LF  4  2.6  0.47  .341   Cliff Pennington SS 4   2.7  0.41  .327 
 Total  43   27.0  6.22  .365  Total   40  27.0  4.77  .330 

PA: # of PA in a single game
Outs: Outs made at the plate, equals PA times (1 minus OBP)
BR: Linear weights batting runs for listed PA
OBP:projected OBP

These are based on an average of six projection systems (CAIRO, CHONE, Marcel, Oliver, PECOTA and ZiPS), so the built-in CAIRO bias towards the Yankees is slightly mitigated. 

Of course, you don’t have to score 6.22 runs a game to be a good team in baseball if you can prevent runs well.  That’s where Oakland’s biggest strength lies.  So far this season, their pitching staff has been the most effective one in the American League.

 Rnk  team lg  Role G  GS IP  H R  ER HR  BB IBB  HBP SO  RA ERA  FIP RSAR
 1  Athletics  AL Total 48  13   115.3  98  39  33  8  44   2  2  97  3.04  2.58   3.62  29.8 
 2  Twins  AL Total 46  12   108.0  100  37  37  11   30  1  3  72  3.08  3.08   4.11  27.5 
 3  White Sox  AL Total 45  12   110.0  96  48  44  6  51   6  3  98  3.93  3.60   3.60  17.6 
 4  Mariners  AL Total 40  12   105.0  103  46  43  8   41  1  4  69  3.94  3.69   4.16  16.6 
 5  Rays  AL Total 46  11   103.0  97  45  44  16   39  2  4  75  3.93  3.84   5.02  16.4 
 6  Rangers  AL Total 42  11   95.0  87  41  34  11  40   1  8  77  3.88  3.22   4.60  15.7 
 7  Yankees  AL Total 39  11   95.0  87  42  40  8  34   0  4  79  3.98  3.79   3.83  14.7 
 8  Indians  AL Total 40  11   98.7  83  46  40  9  50   2  7  60  4.20  3.65   4.90  13.0 
 9  Blue Jays  AL Total 43  12   109.3  94  55  53  15   37  2  7  87  4.53  4.36   4.60  10.3 
 10  Red Sox  AL Total 45  11   100.0  100  54  45  13   42  2  3  64  4.86  4.05   4.96  5.5 
 11  Orioles  AL Total 48  12   104.7  114  63  54  13   36  7  4  96  5.42  4.64   4.13  -0.6 
 12  Tigers  AL Total 43  11   98.0  112  59  50  10   39  1  4  61  5.42  4.59   4.60  -0.8 
 13  Angels  AL Total 45  12   106.0  106  68  61  20   45  0  2  81  5.77  5.18   5.45  -4.8 
 14  Royals  AL Total 50  11   98.0  112  66  62  14   48  1  7  69  6.06  5.69   5.33  -7.6 



FIP: Fielding independent pitching
RSAR: Runs saved above replacement.  For starters this is calculated as 1.25 times league RA minus starter RA divided by nine times IP.  For relievers it’s calculated as 1.15 times league RA minus reliever RA divided by nine times IP

If you go by RA, the A’s have been the best pitching staff in the AL so far, although they obviously get a boost from their park.  The bulk of that value is actually in their rotation, at least so far.

 Rnk  team lg  Role G  GS IP  H R  ER HR  BB IBB  HBP SO  RA ERA  FIP RSAR
 1  Athletics  AL SP 13  13   78.3  68  23  20  5  27   0  2  58  2.64  2.30   3.66  24.5 
 4  Yankees  AL SP 11  11   66.0  57  27  26  4  26   0  3  56  3.68  3.55   3.61  13.1 
 4  Athletics  AL RP 35  0   37.0  30  16  13  3  17   2  0  39  3.89  3.16   3.52  5.3 
 9  Yankees  AL RP 28  0   29.0  30  15  14  4  8   0  1  23  4.66  4.34   4.34  1.7 

They’ve been better than the Yankees in both starting and relieving to this point, although strength of offenses faced is likely a contributing factor.

Lastly, Oakland also looks to have a very strong defense, here’s how the primary lineups compare defensively at each position.

 Pos  Player RS  RS/150  Player  RS  RS/150
 C Jorge Posada  -0.03  -5  Kurt Suzuki 0.05   7 
 1B Mark Teixeira  0.02  3  Daric Barton 0.03   5 
 2B Robinson Cano  0.00  -1  Mark Ellis 0.08   12 
 3B Alex Rodriguez  -0.03  -5  Kevin Kouzmanoff  0.02  3 
 SS Derek Jeter  -0.03  -4  Cliff Pennington  -0.05  -7 
 LF Brett Gardner  0.02  3  Travis Buck -0.01   -2 
 CF  Curtis Granderson 0.04  5   Rajai Davis 0.06  9 
 RF Nick Swisher  0.00  0  Ryan Sweeney 0.11   17 
 Total  -0.01   -2   0.30  45 

RS: Projected runs saved compared to average defensively per game, using an average of projected zone rating and UZR
RS/150: RS pro-rated to 150 games

Yeah, yeah, so what does all this nerdy crap mean?

It means if we want to figure out the win probability for each game via Bill James’s log 5 methodology, we’d use these numbers to do it.

So in Game 1, we have the following inputs:
Yankees
Offense: 6.22 runs
Defense: -0.01 runs
Pitching: 3.9 runs (using six innings of Vazquez’s projected RA, then an inning each of Damaso Marte, David Robertson and Mariano Rivera)

Pythagenpat win Percentage: .714
Home field disadvantage: -0.02
Road Pythagenpat win percentage: 0..694

Athletics
Offense: 4.77 runs
Defense: 0.30 runs
Pitching: 4.9 runs (using six innings of Gio Gonzalez’s projected RA, then an inning each of Brad Ziegler, Jerry Blevins and Andrew Bailey)

Pythagenpat Win Percentage: .519
Home field advantage: 0.02
Home Pythagenpat win percentage: 0.539

Log 5 win probability = team A win percentage minus team B win percentage + .500.  So for Game 1, with these lineups we’d set the Yankee win probability at 67.5%.  Of course, Vazquez’s projections don’t include the fact that he can’t pitch in Yankee pinstripes, so the actual Yankee win probability is more like -100.0%.

Using the same lineups for Games 2 and 3 with the changed pitching matchups gives us these probabilities:

Game 2: 57.4%
Game 3: 64.2%

So theoretically, if not for the Vazquez effect, the Yankees should expect to go something like 1.9 - 1.1 against Oakland.  Which they can’t do, because you can’t win partial games, so let’s round that up to 2-1.

Of course, one of the great modern philosphers made the astute observation that you can’t predict baseball, so I’m going to throw these numbers into the East River and predict an Oakland sweep to kick off a 15 game losing streak for the Yankees.

--Posted at 6:52 pm by SG / 50 Comments | - (0)




Saturday, April 17, 2010

Yankees.com: Power on display as Yanks beat Rangers

NEW YORK—On days like Saturday, when the Yankees beat the Rangers, 7-3, in the Bronx, trying to pitch to New York’s lineup simply seems unreasonable.

There is no easy out and there appears to be no weakness. Power? The left side of the Bombers’ infield went deep off Rangers’ reliever Doug Mathis. Speed? Brett Gardner twice extended innings with two-out infield hits. The Yankees scored six runs in those frames after Gardner’s hustle singles. Patience? How about Nick Johnson and Swisher seeing 24 pitches in three combined at-bats against Texas starter Scott Feldman?

Mark Teixeira’s an easy out.

It was nice to see A.J. Burnett throw another good game with Jorge Posada behind the plate as well.

The Yankees are now 1.9 wins ahead of where my early April log 5 post would have put them. 

 date   game   xW   xL   cxW   cxL   aW   aL   caW   caL   W+/-
 4-Apr  @Boston Red Sox 0.48  0.52   0.48  0.52  0  1  0  1   -0.48 
 6-Apr  @Boston Red Sox 0.48  0.52   0.97  1.03  1  0  1  1   0.03 
 7-Apr  @Boston Red Sox 0.48  0.52   1.45  1.55  1  0  2  1   0.55 
 9-Apr  @Tampa Bay Rays 0.5  0.5   1.95  2.05  0  1  2  2   0.05 
 10-Apr  @Tampa Bay Rays 0.5  0.5   2.44  2.56  1  0  3  2   0.56 
 11-Apr  @Tampa Bay Rays 0.5  0.5   2.94  3.06  1  0  4  2   1.06 
 13-Apr  vs. Los Angeles Angels 0.65  0.35   3.59  3.41  1  0  5  2   1.41 
 14-Apr  vs. Los Angeles Angels 0.65  0.35   4.23  3.77  0  1  5  3   0.77 
 15-Apr  vs. Los Angeles Angels 0.65  0.35   4.88  4.12  1  0  6  3   1.12 
 16-Apr  vs. Texas Rangers 0.61  0.39   5.49  4.51  1  0  7  3   1.51 
 17-Apr  vs. Texas Rangers 0.61  0.39   6.09  4.91  1  0  8  3   1.91 
 18-Apr  vs. Texas Rangers 0.61  0.39   6.7  5.3    8  3   

xW/L: Expected wins/losses using log 5
cxW/L: Cumulative expected wins/losses using log 5
aW/L: Actual wins/losses for games played
caW/L: Cumulative ctual wins/losses for games played
W+/-: caW - cxW. Negative means behind pace, positive means ahead of pace

If they can finish off the sweep tomorrow they’ll be 2.3 wins ahead of pace, and even if they should lose they’ll still be 1.3 wins ahead.

--Posted at 3:14 pm by SG / 209 Comments | - (0)




Monday, April 12, 2010

2010 Opening Week In Review

If you trust the results of the Diamond Mind Projection Blowout, the Yankees, Red Sox and Rays are probably the three best teams in baseball.  So starting the season by playing six games on the road against two of the three best teams in baseball had the potential to be pretty painful.  Fortunately for us, the Yankees were up to the task, taking two of three from both of their rivals, enabling them to stay close to the Toronto juggernaut in the AL East.

Here’s a look at how the team performed statistically. 

Player Team Lg Pos G AB PA H 2B 3B HR BB SO HBP GDP SB CS AVG OBP SLG wOBA BR BRAR
Jorge Posada Yankees AL C 5 17 22 6 2 0 2 5 1 0 1 0 0 .353 .500 .824 .534 6.0 4.4
Curtis Granderson Yankees AL CF 6 23 26 8 1 0 2 3 5 0 0 3 0 .348 .423 .652 .452 6.2 3.9
Robinson Cano Yankees AL 2B 6 25 27 9 2 0 2 1 3 0 0 0 1 .360 .370 .680 .428 5.2 2.9
Nick Swisher Yankees AL RF 6 21 25 7 2 0 1 3 7 1 1 0 0 .333 .440 .571 .437 4.9 2.4
Alex Rodriguez Yankees AL 3B 6 27 29 7 4 1 0 2 2 0 2 0 1 .259 .310 .481 .336 3.6 1.2
Derek Jeter Yankees AL SS 6 28 30 8 1 0 0 1 1 1 1 2 0 .286 .333 .321 .300 3.2 0.9
Francisco Cervelli Yankees AL C 1 3 5 1 1 0 0 1 0 0 0 0 0 .333 .400 .667 .392 1.0 0.6
Brett Gardner Yankees AL LF 5 17 19 5 0 0 0 2 1 0 0 3 0 .294 .368 .294 .313 2.5 0.6
Marcus Thames Yankees AL LF 2 4 5 1 0 0 0 1 1 0 0 0 0 .250 .400 .250 .324 0.5 0.0
Ramiro Pena Yankees AL 3B 1 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000 0.0 0.0
Randy Winn Yankees AL RF 6 2 2 0 0 0 0 0 1 0 0 0 0 .000 .000 .000 .000 -0.2 -0.4
Nick Johnson Yankees AL DH 6 22 30 3 1 0 0 7 7 1 0 0 0 .136 .367 .182 .294 2.5 -0.9
Mark Teixeira Yankees AL 1B 6 24 29 3 1 0 0 5 5 0 0 0 0 .125 .276 .167 .229 1.3 -1.8
Total 62 213 249 58 15 1 7 31 34 3 5 8 2 .272 .369 .451 .360 36.7 13.9

BR: Batting runs using linear weights
BRAR: Position-adjusted BR above replacement level
At this point, Teixeira’s a sunk cost and the Yankees should probably just release him and eat his salary.  How about that Posada kid though?  And this Granderson fella can play a bit as well.  On a slightly more serious note, the Yankees put up 36 runs in six games on the road against two of the better projected run prevention teams in the league, which bodes nicely for the offense going forward.

Player Team Lg Role G GS IP H R ER HR BB SO RA ERA FIP RSAR
CC Sabathia Yankees AL SP 2 2 13.0 7 5 5 0 4 9 3.46 3.46 2.74 2.9
Andy Pettitte Yankees AL SP 1 1 6.0 6 1 1 0 3 4 1.50 1.50 3.87 2.7
Mariano Rivera Yankees AL RP 3 0 3.0 2 0 0 0 1 2 0.00 0.00 2.87 1.7
A.J. Burnett Yankees AL SP 2 2 12.0 13 6 5 1 4 6 4.50 3.75 4.53 1.3
Alfredo Aceves Yankees AL RP 1 0 2.0 0 0 0 0 0 0 0.00 0.00 3.20 1.1
David Robertson Yankees AL RP 3 0 2.0 3 0 0 0 0 2 0.00 0.00 1.20 1.1
Sergio Mitre Yankees AL RP 1 0 2.3 2 1 1 0 0 1 3.86 3.86 2.34 0.3
Damaso Marte Yankees AL RP 2 0 0.3 0 0 0 0 1 0 0.00 0.00 12.20 0.2
Joba Chamberlain Yankees AL RP 3 0 3.0 4 2 2 0 2 3 6.00 6.00 3.20 -0.3
Chan Ho Park Yankees AL RP 2 0 3.7 4 3 2 1 0 2 7.36 4.91 5.65 -0.9
Javier Vazquez Yankees AL SP 1 1 5.7 8 8 8 2 3 5 12.71 12.71 7.61 -4.5
Total 21 6 53 49 26 24 4 18 34 4.42 4.08 3.92 5.5

RSAR: Runs saved above replacement level.

Yay Battlecat!  And if you need further proof about how foolish it was to put Joba in the rotation, look at how dominant he’s been as a reliever so far.  I don’t care about sample size, he’s clearly the Joba of old again.  Vindication for the JSPTE crowd!

UZR is not yet available for 2010, but here’s how the team performed this past week according to zone rating.

Player Tm Lg Pos G GS CH INN PO A E DP ZR PM Avg ZR AvgPM Diff RS
Rodriguez, Alex NYY AL 3B 6 6 19 52 3 17 0 3 .947 18 .826 16 2 2
Granderson, Curtis NYY AL CF 6 6 26 53 24 1 0 1 .923 24 .881 23 1 1
Teixeira, Mark NYY AL 1B 6 6 13 53 57 2 0 7 1.000 13 .943 12 1 1
Gardner, Brett NYY AL LF 5 4 9 40 9 0 1 0 .889 8 .858 8 0 0
Pena, Ramiro NYY AL 3B 1 0 1 1 0 1 0 0 1.000 1 .826 1 0 0
Winn, Randy NYY AL RF 4 0 1 6 1 0 0 0 1.000 1 .867 1 0 0
Swisher, Nick NYY AL RF 6 6 6 47 6 0 0 0 .833 5 .867 5 0 0
Thames, Marcus NYY AL LF 2 2 3 13 2 0 0 0 .667 2 .858 3 -1 0
Jeter, Derek NYY AL SS 6 6 14 53 10 8 1 3 .643 9 .849 12 -3 -2
Cano, Robinson NYY AL 2B 6 6 24 53 11 20 0 5 .708 17 .831 20 -3 -2

G: Games
GS: Games Started
CH: Playable Chances
INN: Defensive Innings at Position
PO: Putouts
A: Assists
E: Errors
DP: Double Plays
ZR: Zone Rating (PM/Ch)
PM: Plays Made
Avg ZR: ZR by average defender at the same position and in the same league
AvgPM: Estimated Plays Made over the same # of chances by an average defender
Diff: Difference between PM and AvgPM
RS: Runs Saved

Standard caveats about limitations of fielding metrics and sample size apply as always.  At this point just one missed play can have a huge impact on a player’s RS total, so don’t make too much of these numbers yet, although I’ve been very pleased with Rodriguez’s defense at third so far.  His hip doesn’t seem to be an issue in terms of his lateral range to this point.

For the hell of it, here’s how zone rating has all 30 MLB teams ranked (does not include catchers).

TM POS Ch PM Diff RS
Det Total 106 98 7 6
Cle Total 100 92 6 5
Fla Total 104 91 4 3
StL Total 103 88 3 3
Mil Total 101 87 3 3
Atl Total 111 95 3 2
Was Total 107 92 3 2
SD Total 105 89 2 1
Cin Total 107 91 1 1
Oak Total 113 98 1 1
Sea Total 130 113 1 1
NYM Total 117 98 0 0
Tor Total 99 85 0 0
ChC Total 98 82 0 0
Bos Total 121 104 0 0
KC Total 114 98 0 0
Min Total 124 106 0 0
LAA Total 132 113 0 0
Col Total 105 85 -1 -1
NYY Total 116 98 -2 -1
LA Total 95 76 -2 -1
Bal Total 96 81 -2 -2
Phi Total 106 86 -2 -2
Ari Total 110 89 -2 -2
SF Total 114 92 -2 -2
TB Total 115 96 -3 -3
Hou Total 120 97 -4 -3
CWS Total 107 88 -4 -3
Tex Total 91 74 -4 -3
Pit Total 118 91 -7 -5

Shouldn’t the Red Sox be around +10 by now?  Peter Gammons told me they were going to be historically great defensively.

When we looked at the April expectations using log 5, we saw that the Yankees would have been estimated to go 1.4 - 1.6 versus Boston and 1.5 and 1.5 versus Tampa Bay(and yes, I know you can’t win .4 or .5 or .6 games).  That means they’d have been expected to be 2.94 - 3.06 after six games.  All that means is they’re a game ahead of where we’d have put them, so we’d have to consider opening week a success.

date   game   xW   xL   cxW   cxL   aW   aL   caW   caL   W+/-
4-Apr @Boston Red Sox 0.48 0.52 0.48 0.52 0 1 0 1 -0.48
6-Apr @Boston Red Sox 0.48 0.52 0.97 1.03 1 0 1 1 0.03
7-Apr @Boston Red Sox 0.48 0.52 1.45 1.55 1 0 2 1 0.55
9-Apr @Tampa Bay Rays 0.50 0.50 1.95 2.05 0 1 2 1 0.05
10-Apr @Tampa Bay Rays 0.50 0.50 2.44 2.56 1 0 3 1 0.56
11-Apr @Tampa Bay Rays 0.50 0.50 2.94 3.06 1 0 4 1 1.06



xW/L: Expected wins/losses using log 5
cxW/L: Cumulative expected wins/losses using log 5
aW/L: Actual wins/losses for games played
caW/L: Cumulative ctual wins/losses for games played
W+/-: caW - cxW. Negative means behind pace, positive means ahead of pace

So now it’s on to a six game home stand against the Orange County Angels and the Texas Rangers. 

date   game   xW   xL   cxW   cxL
13-Apr   vs. Los Angeles Angels 0.65 0.35 3.59 3.41
14-Apr vs. Los Angeles Angels 0.65 0.35 4.23 3.77
15-Apr vs. Los Angeles Angels 0.65 0.35 4.88 4.12
16-Apr   vs. Texas Rangers 0.61 0.39 5.49 4.51
17-Apr vs. Texas Rangers 0.61 0.39 6.09 4.91
18-Apr vs. Texas Rangers 0.61 0.39 6.7 5.3
total 3.78 2.22

Log 5 would tell you that the Yankees should go 3.78 - 2.22 on this homestand, but they’ll get swept by the Angels, which is going to make that impossible.  So I guess it’s good they’ve got a game in the bank.

--Posted at 7:31 am by SG / 122 Comments | - (0)




Wednesday, April 7, 2010

.000/.500/.000

That's Nick Johnson's line after 10 PAs so far in 2010. If you look at that as an OPS of .500, it's pretty bad, but I want to look at it in terms of run value.

So first, let's look at the 2010 Yankee lineup and their CAIRO projections.

Player Pos PA Outs BR
Derek Jeter SS 5 3 0.69
Nick Johnson DH 5 3 0.73
Mark Teixeira 1B 5 3 0.84
Alex Rodriguez 3B 5 3 0.89
Robinson Cano 2B 5 3 0.73
Jorge Posada C 5 3 0.70
Curtis Granderson CF 5 3 0.64
Nick Swisher RF 4 3 0.55
Brett Gardner LF 4 3 0.48
Total 43 27 6.25


BR:Linear weights batting runs pro-rated to the listed PAs.

So Johnson's projection makes him worth about .73 runs per game, and has the Yankee lineup scoring 6.25 runs per game.

If we replace projected Johnson in the lineup with 2010 actual Johnson, here's how that looks.

Player Pos PA Outs BR
Derek Jeter SS 5 3 0.69
Nick Johnson2010 DH 5 3 0.58
Mark Teixeira 1B 5 3 0.84
Alex Rodriguez 3B 5 3 0.89
Robinson Cano 2B 5 3 0.73
Jorge Posada C 5 3 0.70
Curtis Granderson CF 5 3 0.70
Nick Swisher RF 4 3 0.59
Brett Gardner LF 4 3 0.48
Total 43 27 6.19


There's a difference there of .06 runs per game, which works out to around 10 runs over a full season.

So Nick, feel free to sprinkle a few hits in there.

In all seriousness, it's fun having Johnson back, isn't it?
--Posted at 7:50 am by SG / 59 Comments | - (0)




Tuesday, April 6, 2010

Yankees.com: Patient Yanks eek out win at Fenway

BOSTON—Nick Johnson worked an eighth-inning walk from Hideki Okajima that forced home Jorge Posada with the eventual winning run as the Yankees defeated the Red Sox, 6-4, on Tuesday at Fenway Park.

The Yankees moved the go-ahead run across, slowly, as Posada opened the inning with a ground-rule double against the left-hander and was forced to hold on Brett Gardner’s squib-shot single. Derek Jeter reached on a two-out error by shortstop Marco Scutaro, and Johnson tossed his bat aside after a five-pitch walk that forced in the run.

It’s going to take a lot for the Yankees to get another win against a team with 7 aces.  Appreciate this one while you can.

--Posted at 10:20 pm by Jonathan / 18 Comments | - (0)




Wednesday, March 31, 2010

Looking Ahead to 2010 - Position Player Wrapup

Unfortunately I didn’t really get to finish these up in the detail I’d like to due to time constraints, so I’ll consolidate these into a few more posts, one for the position player wrap up, one for the starting pitchers, one for the relievers and then one final one for the whole team.

The table below just shows a rough estimate of projected playing time for the starters and the guys I think will be the primary bench players, and their projected outs and batting runs in each of the projection systems I've been using for these previews.

Player Pos PA caOuts caBR chOuts chBR mOuts mBR oOuts oBR pOuts pBR zOuts zBR aOuts aBR
1 Derek Jeter SS 650 409 90 408 91 409 90 407 87 411 87 407 90 408 89
2 Nick Johnson DH 450 265 66 274 63 271 63 271 61 261 68 261 69 267 65
3 Mark Teixeira 1B 650 403 109 406 111 399 112 399 112 395 112 409 103 402 110
4 Alex Rodriguez 3B 600 367 106 370 105 368 106 367 104 367 105 369 103 368 105
5 Robinson Cano 2B 625 407 92 411 92 415 85 422 82 410 89 415 86 413 88
6 Jorge Posada C 450 292 63 293 62 287 67 284 66 292 58 298 58 291 62
7 Curtis Granderson CF 600 397 84 395 87 394 87 399 83 388 93 399 84 395 87
8 Nick Swisher RF 575 371 79 367 83 369 81 372 78 361 86 370 80 368 81
9 Brett Gardner LF 450 293 54 292 56 301 54 301 47 289 57 302 50 296 53
Starters 5050 3204 742 3216 750 3212 746 3222 719 3174 757 3229 724 3210 740
Player Pos PA caOuts caBR chOuts chBR mOuts mBR oOuts oBR pOuts pBR zOuts zBR aOuts aBR
Randy Winn OF 400 272 44 273 42 267 49 269 44 263 49 266 46 268 46
Francisco Cervelli C 300 203 30 207 30 200 37 212 26 200 32 208 30 205 31
Marcus Thames OF 200 140 24 139 26 139 26 140 25 140 24 141 25 140 25
Ramiro Pena IF 200 140 17 139 19 132 26 146 14 138 19 140 17 139 19
Kevin Russo IF 200 138 19 134 23 135 21 141 15 134 23 137 20 136 20
Bench 1300 893 134 891 140 873 158 907 124 874 147 892 139 888 140
Player Pos PA caOuts caBR chOuts chBR mOuts mBR oOuts oBR pOuts pBR zOuts zBR aOuts aBR
Team Total 6350 4097 877 4107 891 4085 903 4129 843 4048 904 4121 862 4098 880


caOuts/caBR: cairo projected outs and linear weights batting runs for estimated PA
chOuts/chBR: chone projected outs and linear weights batting runs for estimated PA
mOuts/mBR: marcel projected outs and linear weights batting runs for estimated PA
oOuts/oBR: oliver projected outs and linear weights batting runs for estimated PA
pOuts/pBR: pecota projected outs and linear weights batting runs for estimated PA
zOuts/zBR: zips projected outs and linear weights batting runs for estimated PA
aOuts/aBR: average projected outs and linear weights batting runs for estimated PA

Team outs should add up to 4100 so keep that in mind when looking at each individual system. The systems that show more than 4100 outs would predict a few runs less than shown and the systems that show fewer than 4100 outs would predict a few more runs than shown, but the average is fairly close. 880 runs is about 15 runs fewer than the average projection showed in the Diamond Mind projection blowout, but that looks like it's due to slight differences in the playing time of some of the players compared to these.

If the Yankees can get a few more PA out of Nick Johnson and Jorge Posada, they should be able to get up to around 900 runs.

Defensively, the Yankees should look like this roughly.

Pos Player Inn RS
C Posada 840 -5
C Cervelli 600 1
1B Teixeira 1200 3
1B Johnson 240 0
2B Cano 1300 -1
2B Pena 140 -1
3B Rodriguez 1200 -4
3B Pena 240 0
SS Jeter 1300 -4
SS Pena 140 0
IF -6
LF Gardner 900 2
LF Winn 400 2
LF Thames 140 -1
CF Granderson 1200 5
CF Gardner 200 2
CF Winn 40 0
RF Swisher 1200 0
RF Winn 240 2
OF 12
Total 2


RS are runs saved compared to average using an average of zone rating and UZR.

While it's likely more players than those on the original opening day roster will see time defensively, none of the players that would fall into that group have defensive projections that I'd feel comfortable using so I'm not going to include them here. The infield looks a bit below average and the outfield looks like they should be pretty decent. Overall, they could be around average as a unit, which would be nice.

I'm pretty sure this is the best group of position players in baseball on paper, so barring injury and/or worse than expected decline they should do their part to make the Yankees a mid-90s win team. Will the pitching staff be up to the task? That's a question for the next two posts.

--Posted at 8:36 pm by SG / 52 Comments | - (0)



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