Thursday, April 2, 2009

Technical Difficulties

We're getting slammed by traffic so our web host took our database offline. I'll work on getting it back up but for now I'll post here. If you came here looking for the Diamond Mind Projection Blowout, here are the links:

American League.
National League.

Looking Ahead to 2009: Hideki Matsui

I'll try and get a post up on the bench later today, then I'm going to try and do one post for the starting pitchers and one for the bullpen tomorrow. This post will look at the last primary starter on offense, Hideki Matsui.

2008

hideki matsui PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2008 chone 498 440 73 126 23 2 21 78 2 1 56 64 2 .286 .369 .491 76 100 21 .360
2008 marcel 537 470 81 135 27 3 18 82 4 2 57 67 3 .287 .363 .472 79 95 17 .349
2008 pecota 561 489 79 140 28 2 18 83 4 2 63 67 3 .286 .366 .465 81 94 16 .349
2008 zips 614 544 95 158 33 4 20 106 2 2 67 71 3 .290 .371 .476 92 97 19 .357
2008 cairo 539 470 80 135 27 2 21 84 2 1 61 68 2 .286 .367 .484 81 98 20 .355
2008 average 550 483 82 139 27 3 20 86 3 2 61 68 3 .287 .367 .478 82 97 19 .354
2008 actual 378 337 43 99 17 0 9 45 0 0 38 47 3 .294 .370 .424 51 88 10 .344
difference -31% -30% -47% 2% -11% -100% -35% -25% -100% -100% -10% 0% 57% .006 .003 -.053 -31 -9 -9 -.010
Matsui had a disappointing overall 2008 due to knee issues. From the start of the season through June 22 he actually was hitting pretty well at .323/.404/.458 over 285 PA. He went on the DL at that point and returned August 19 to finish the season by hitting .209/.269/.326 over his last 93 PA. On a rate basis, Matsui was about 9 runs worse then projected, although if you look at just his pre-injury splits and pro-rate them to a full season he would have been 17 runs more valuable than projected over 650 PA.

Offense
hideki matsui PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2009 chone 525 465 75 129 24 1 17 75 2 1 57 65 3 .277 .360 .443 72 90 11 .342
2009 marcel 452 397 60 110 20 2 14 61 3 1 48 60 4 .277 .358 .443 62 89 11 .340
2009 pecota 403 355 49 98 18 1 10 52 1 1 42 55 2 .275 .352 .417 52 83 5 .330
2009 tht 426 376 52 105 20 1 13 54 1 1 47 57 3 .279 .364 .441 59 90 12 .344
2009 zips 614 544 95 158 33 4 20 106 2 2 67 71 3 .290 .371 .476 92 97 19 .357
2009 cairo 459 403 66 114 22 2 14 64 2 1 49 58 3 .283 .361 .454 65 91 13 .344
2009 average 480 423 65 119 23 2 15 68 2 1 52 62 3 .280 .361 .446 67 90 12 .343
The projections expect Matsui to regain a little bit of pop but hit for a slightly lower AVG/OBP. His average projection would make him worth about 12 runs more than a replacement level DH (I set replacement level for a DH to what a league average hitter would hit now, which handles the position adjustment I think). His projections may be a little low since they don't account for the injury that affected his final numbers, but then again he will be 35 so he is in the decline phase of his career anyway.

hideki matsui: cairo %iles PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
80% 468 412 75 127 27 3 19 74 3 0 57 52 4 .309 .403 .527 82 113 35 .389
65% 464 407 70 121 24 3 17 69 2 0 53 55 3 .296 .382 .490 73 102 24 .367
baseline 459 403 66 114 22 2 14 64 2 1 49 58 3 .283 .361 .454 65 91 13 .344
35% 436 383 58 103 19 1 12 57 1 1 43 59 2 .269 .340 .417 54 80 2 .321
20% 400 351 50 90 15 0 9 49 0 2 37 57 1 .256 .319 .381 43 69 -9 .299
I wouldn't be surprised to see a healthy Matsui his his 65% projection, although I'm a Matsu fan so I may be biased.

Defense
Year Age Pos GP Inn RS (ZR) RS (UZR) Avg (ZR/UZR) p162
2005 31 LF 115 977 -8 -2 -5 -8
2006 32 LF 36 289 -1 -1 -1 -6
2007 33 LF 112 980 -7 -11 -9 -14
2008 34 LF 21 176 -6 -2 -4 -30
2009 35 LF 82 657 -5 -4 -4 -9
This has been a sore spot in Matsui's value. Luckily he should not see much time in the OF. His projection above is too generous because of regression to the mean IMO, he's probably closer to his 2007 defensive talent right now.

Baserunning
Year GA_OPPS EQGAR AA_OPPS EQAAR HA_OPPS EQHAR OA_OPPS EQOAR OPPS EQBRR
2007 30 0.3 33 0.6 59 1.8 371 0.0 493 2.6
2008 12 -0.1 33 -0.8 32 0.5 208 -0.1 285 0.0
2009 Proj 18 0.0 33 -0.3 41 0.9 262 0.0 354 0.9
Matsui's not particularly fast, but he's an intelligent baserunner who's a smidgen above average.

Value
Category Runs Wins
Offense 12 1.2
Defense 0 0.0
Baserunning 1 0.1
Total 13 1.3
2009 Salary $13,000,000
Value if:a marginal win is worth: Value Difference
$3,000,000 $3,812,413 ($9,187,587)
$3,500,000 $4,447,815 ($8,552,185)
$4,000,000 $5,083,217 ($7,916,783)
$4,500,000 $5,718,619 ($7,281,381)
$5,000,000 $6,354,021 ($6,645,979)
$5,500,000 $6,989,423 ($6,010,577)
$6,000,000 $7,624,826 ($5,375,174)
Matsui's 4 year, $52 million contract hasn't gone real well, although that's primarily because of injuries. I stripped out his defense assuming he'll be the DH but he still looks like a pretty severe overpay in 2009.

Conclusion I've always like Matsui, although it seems like I'm in the minority among Yankee fans who want to trade him constantly. It's the last year of his contract and I think he'll end up having a pretty good season. There's some legitimate concern about the Yankee offense, and a rebound by Matsui would be a big help.

Wednesday, April 1, 2009

Looking Ahead to 2009: Xavier Nady and Nick Swisher

2008

xavier nady PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2008 chone 486 446 61 122 24 1 20 65 3 2 29 91 11 .274 .333 .466 66 89 17 .333
2008 marcel 486 443 56 121 24 2 17 64 4 2 30 92 10 .273 .331 .451 64 86 14 .327
2008 pecota 449 408 55 115 24 2 16 65 4 2 29 86 8 .281 .337 .467 62 90 18 .333
2008 zips 425 390 50 101 21 1 17 64 1 0 25 92 10 .259 .320 .449 55 84 12 .320
2008 cairo 369 337 44 94 18 1 14 50 2 1 22 70 8 .280 .336 .466 51 89 17 .333
2008 average 443 405 53 111 22 1 17 62 3 2 27 86 9 .273 .332 .460 59 87 16 .329
2008 actual 607 555 76 169 37 1 25 97 2 1 39 103 9 .305 .357 .510 95 101 30 .357
difference 37% 37% 43% 11% 21% -48% 9% 15% -45% -54% 5% -13% -29% .031 .026 .050 35 14 14 .028


Entering 2008, Xavier Nady had seemingly settled into his niche as a slightly above average hitter who could be spotted in the OF corners or 1B and hit lefties well. At age 29 it was not likely that he'd have much improvement left in him. From the start of the season throuhg August 8th, Nady hit .335/.388/.566 for Pittsburgh and then the Yankees, who acquired him along with Damaso Marte in exchange for Jeff Karstens, Ross Ohlendorf, Dan McCutchen and the big prize, Jose Tabata. From August 9th on, Nady fell off drastically, hitting .242/.294/.396 over his final 197 PA. Nady's final line was still a significant step up from his 2008 projections, as he wound up providing about 14 more runs than expected on a rate basis.

nick swisher PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2008 chone 626 526 92 135 30 1 27 89 2 2 92 125 8 .257 .375 .471 94 98 26 .358
2008 marcel 597 502 82 129 30 2 23 78 3 2 80 123 8 .257 .363 .462 86 94 22 .346
2008 pecota 633 531 91 141 30 1 31 93 3 2 88 137 7 .265 .373 .501 99 102 31 .362
2008 zips 612 518 96 141 31 1 31 90 2 2 86 137 8 .272 .384 .515 100 107 35 .373
2008 cairo 570 479 83 126 28 1 28 74 1 1 79 115 8 .262 .373 .500 89 102 30 .362
2008 average 608 511 89 134 30 1 28 85 2 2 85 127 8 .263 .374 .490 94 100 29 .360
2008 actual 588 497 86 109 21 1 24 69 3 3 82 135 4 .219 .332 .410 71 79 7 .316
difference -3% -3% -3% -16% -28% -17% -12% -16% 34% 66% -1% 9% -48% -.043 -.042 -.080 -23 -22 -22 -.044


Swisher's 2008 was almost the polar opposite of Nady's. Projected to have a big season by moving to US Cellular which is a big HR park, Swisher struggled all season, hitting .219/.332/.410 compared to his average projection of .263/.374/.490. Swisher was 22 runs less valuable than projected.

Offense
I touched on the subject of fluke seasons with Nady. Although I still haven't written the opposite study on negative fluke seasons, just eyeballing it it seems to show the same general thing. The fluke season is often an indicator of a player's change in skill although it often overstates it. That's good for Nady, but not so good for Swisher. So let's see what the projections say.

xavier nady PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2009 chone 498 461 57 126 25 1 19 69 3 1 30 95 7 .273 .327 .456 66 86 15 .326
2009 marcel 550 501 65 142 30 1 20 78 4 2 35 101 3 .283 .327 .467 74 88 16 .326
2009 pecota 528 483 59 130 27 1 18 79 2 1 32 101 8 .270 .323 .444 67 83 11 .319
2009 tht 530 489 65 136 28 1 20 76 2 1 32 99 9 .278 .334 .462 72 88 17 .332
2009 zips 530 487 72 138 29 1 22 89 2 1 33 100 10 .283 .342 .483 76 94 22 .342
2009 cairo 524 479 63 136 27 1 21 74 2 1 33 94 10 .283 .339 .474 73 91 20 .337
2009 average 527 483 63 135 28 1 20 77 3 1 32 98 8 .279 .332 .464 71 88 17 .330


In general, the projections expect Nady to do what he was projected to do in 2008 in 2009. The 2009 performance spike gets tempered as he moves a year further away from his peak. His average line is a little below average for a RF, but 17 runs above replacement level.

Here are his CAIRO percentile forecasts:

xavier nady: cairo %iles PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
80% 535 489 73 150 33 3 26 84 4 0 39 86 13 .307 .378 .542 92 112 41 .380
65% 530 484 68 143 30 2 23 79 3 1 36 90 11 .295 .359 .508 83 102 30 .359
baseline 524 479 63 136 27 1 21 74 2 1 33 94 10 .283 .339 .474 73 91 20 .337
35% 498 455 56 123 23 1 17 66 2 2 28 93 8 .271 .320 .440 62 80 9 .316
20% 456 417 48 108 19 0 14 57 1 2 23 90 6 .259 .300 .406 49 70 -2 .295


Nady's 2008 was basically around his 2009 65% forecast. I thought Nady had established a new talent level until his end of season swoon, so right now I wouldn't expect him to do much better than his baseline, which is somewhat optimistic when compared to his other projections.

nick swisher PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2009 chone 602 511 86 126 26 1 26 78 3 1 86 133 5 .247 .360 .454 86 92 21 .345
2009 marcel 560 470 77 115 24 1 21 68 3 2 78 121 7 .245 .357 .434 76 88 16 .337
2009 pecota 524 441 69 108 22 1 24 73 3 1 71 120 6 .244 .352 .460 74 91 20 .340
2009 tht 565 481 70 119 25 1 23 75 3 2 78 122 6 .247 .359 .447 79 91 19 .342
2009 zips 617 524 97 133 29 2 27 89 3 2 86 140 7 .254 .366 .471 91 96 25 .352
2009 cairo 618 519 88 125 28 1 24 75 2 2 86 133 7 .240 .353 .442 84 88 17 .336
2009 average 581 491 81 121 26 1 24 76 3 2 81 128 6 .246 .358 .451 81 91 20 .342


Despite the consensus that Swisher is clearly better than Nady offensively, his average projection is only about 3 runs better over a full season, which is well within the margin of error of projections.

nick swisher: cairo %iles PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
80% 631 530 100 139 34 3 30 86 4 1 98 124 10 .262 .391 .507 105 108 36 .376
65% 625 524 94 132 31 2 27 80 3 2 92 128 9 .251 .372 .474 94 98 27 .356
baseline 618 519 88 125 28 1 24 75 2 2 86 133 7 .240 .353 .442 84 88 17 .336
35% 587 493 79 113 24 1 21 67 1 3 78 132 6 .230 .334 .409 71 79 7 .316
20% 538 452 69 99 20 0 17 58 1 3 67 125 4 .219 .316 .377 57 69 -3 .296


What's interesting here is that Nady's percentile forecast shows more upside than Swisher's. I'd have expected the opposite.

Defense
Since Nady and Swisher are fairly close offensively, defense becomes more significant when assessing them.

Year Age Pos GP Inn RS (ZR) RS (UZR) Avg (ZR/UZR) p162
2005 26 RF 13 82 0 0 0 3
2006 27 RF 99 855 0 -4 -2 -4
2007 28 RF 94 748 -3 -1 -2 -4
2008 29 RF 89 764 1 0 0 1
2009 30 RF 102 835 0 -2 -1 -2


Nady's played LF, RF and 1B but it looks like he'll pretty much play only RF for the Yanks so I've listed those numbers. He's been a touch below average, but compared to Bobby Abreu he'll look like Paul Blair.

Since it looks like Swisher will start the year as a reserve, here are his defensive projections for RF, LF and CF.

Year Age Pos GP Inn RS (ZR) RS (UZR) Avg (ZR/UZR) p162
2005 24 RF 121 1027 -1 8 4 5
2006 25 RF 1 3 -1 0 0 -127
2007 26 RF 57 414 4 9 6 22
2008 27 RF 17 109 1 -1 0 1
2009 28 RF 61 459 1 1 1 3


Year Age Pos GP Inn RS (ZR) RS (UZR) Avg (ZR/UZR) p162
2005 24 LF 0 0 0 0 0 0
2006 25 LF 79 655 2 1 2 4
2007 26 LF 0 0 0 0 0 0
2008 27 LF 18 137 1 3 2 24
2009 28 LF 62 475 1 1 1 4


Year Age Pos GP Inn RS (ZR) RS (UZR) Avg (ZR/UZR) p162
2005 24 CF 0 0 0 0 0 0
2006 25 CF 1 2 0 0 0 217
2007 26 CF 59 481 -6 -4 -5 -16
2008 27 CF 70 535 1 -4 -1 -4
2009 28 CF 68 529 -1 -3 -2 -6


This is where Swisher picks up a little bit of distance on Nady, as he projects about 5 runs better defensively in RF over a full season.

Baserunning
Year GA_OPPS EQGAR AA_OPPS EQAAR HA_OPPS EQHAR OA_OPPS EQOAR OPPS EQBRR
2007 12 0.2 23 0.6 37 0.7 206 -0.8 278 0.8
2008 24 0.3 33 0.2 45 -3.4 237 1.3 339 0.0
2009 Proj 20 0.3 30 0.3 42 -2.0 227 0.6 319 0.3


Year GA_OPPS EQGAR AA_OPPS EQAAR HA_OPPS EQHAR OA_OPPS EQOAR OPPS EQBRR
2007 13 0.4 39 0.6 49 0.7 337 0.3 438 1.3
2008 27 0.2 31 0.1 35 1.2 241 0.4 334 0.0
2009 Proj 22 0.3 34 0.3 40 1.1 273 0.3 369 0.4


Looks like they're essentially the same baserunner.

Value
Xavier Nady
Category Runs Wins
Offense 17 1.7
Defense -1 -0.1
Baserunning 0 0.0
Total 16 1.6
2009 Salary $6,550,000
Value if:a marginal win is worth: Value Difference
$3,000,000 $4,927,617 ($1,622,383)
$3,500,000 $5,748,887 ($801,114)
$4,000,000 $6,570,156 $20,156
$4,500,000 $7,391,426 $841,426
$5,000,000 $8,212,695 $1,662,695
$5,500,000 $9,033,965 $2,483,965
$6,000,000 $9,855,234 $3,305,234


Nick Swisher
Category Runs Wins
Offense 20 2.0
Defense 4 0.4
Baserunning 0 0.0
Total 24 2.4
2009 Salary $5,300,000
Value if:a marginal win is worth: Value Difference
$3,000,000 $7,162,821 $1,862,821
$3,500,000 $8,356,625 $3,056,625
$4,000,000 $9,550,429 $4,250,429
$4,500,000 $10,744,232 $5,444,232
$5,000,000 $11,938,036 $6,638,036
$5,500,000 $13,131,839 $7,831,839
$6,000,000 $14,325,643 $9,025,643
Conclusion
Swisher appears to be the better player of the two, although the margin is not nearly as large as some people think it is (8 runs overall if they are both primary RF). So here's a question. Nady was a type A player this season and is eligible for free agency after this season. In order to maintain that type A status, he needs to play full-time. What's worth more?

2009 Nady + First Round Pick?
2009 Swisher?

For my depth charts during my season simulations, I put Nady in RF and Swisher on the bench. However, I gave Swisher 20% of the playing time in LF and RF, 10% of the playing time at 1B, 10% of the playing time in CF, and 20% of the playing time at DH. That means he would play around 80% of the time. With some intelligent platooning and with his ability to play several positions better than Nady, this is probably the better role for Swisher, even if he projects to be 8 runs better than Nady over a full season.

Looking Ahead to 2009: Brett Gardner

He's been named the Yankees' starting CF to begin 2009, so it's time to look at Brett Gardner.

2008

brett gardner PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2008 chone 469 427 55 108 18 4 2 43 35 9 40 91 2 .253 .320 .328 48 66 1 .288
2008 marcel 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 0 0 0 .000
2008 pecota 483 428 58 102 17 4 3 31 25 7 44 100 3 .239 .308 .316 45 61 -5 .277
2008 zips 468 417 73 112 15 4 1 27 28 9 49 87 2 .269 .348 .331 51 70 5 .307
2008 cairo 325 292 43 74 11 3 3 23 9 3 30 61 2 .253 .325 .335 32 65 -1 .293
2008 average 349 313 46 79 12 3 2 25 19 5 33 68 2 .253 .325 .328 35 66 0 .291
2008 actual 555 485 72 119 15 11 2 45 43 11 63 111 3 .245 .333 .334 60 70 5 .298
difference 59% 55% 58% -3% -20% 146% -27% 18% 48% 34% 24% 6% 15% -.008 .008 .007 25 5 5 .006


Those projections were for Gardner as a major leaguer, so I added his 2008 MLE to his MLB performance for comparison's sake. As you can see, Gardner exceed his projections slightly, somewhere around 4 runs better than expected over a full season. That includes the disastrous start to his major league career, where he hit .153/.227/.169 over his first 68 PA before he was demoted on July 25. Gardner was recalled on August 15th and actually ended the season pretty well, hitting .294/.333/.412 over his last 73 PA.
Offense
It's been rehashed just about everywhere, but Gardner is the type of player whose game does not project to translate well to MLB, which can be seen in his projections below.

brett gardner PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2009 chone 502 446 75 115 19 7 2 34 33 9 54 104 2 .258 .341 .345 56 73 7 .305
2009 marcel 270 241 34 62 12 2 5 32 12 2 21 49 1 .257 .311 .386 31 74 8 .295
2009 pecota 498 430 69 109 19 6 4 32 32 9 55 99 3 .253 .334 .351 56 72 7 .300
2009 tht 506 447 66 112 15 7 5 35 31 5 56 97 3 .251 .338 .349 58 74 9 .305
2009 zips 501 446 74 111 14 6 2 30 41 8 53 101 2 .249 .331 .321 53 69 4 .294
2009 cairo 613 544 73 138 19 8 3 37 19 3 66 50 3 .254 .338 .334 64 68 3 .301
2009 average 482 426 65 108 17 6 4 35 28 6 50 85 2 .254 .332 .348 53 72 6 .300


Gardner projects below average on offense, but slightly above replacement level. Since the Yankees got replacement level out of CF last year, he may actually be an offensive upgrade. He has supposedly re-worked his swing and showed some more pop in spring training, but the quality and intensity of the competition he did it against means we shouldn't really read too much into it. It's possible he's changed his game, but we need to see it in games that count.

Gardner's CAIRO percentiles show that his chances for hitting for decent power are pretty slim.
brett gardner: cairo %iles PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
80% 625 554 84 153 24 11 5 44 24 2 76 43 5 .276 .374 .383 82 86 20 .337
65% 619 549 79 145 21 9 4 41 21 2 71 46 4 .265 .356 .358 73 77 11 .319
baseline 613 544 73 138 19 8 3 37 19 3 66 50 3 .254 .338 .334 64 68 3 .301
35% 583 516 66 126 16 6 2 32 16 4 59 50 2 .243 .321 .309 53 60 -6 .284
20% 533 473 56 110 13 4 1 27 13 5 51 49 1 .232 .303 .284 42 51 -15 .266


Gardner's 80% forecast is essentially league average for a CF, with the stolen bases making up for the below average SLG.

One nice thing about running the Diamond Mind Projection Blowout is I can look at the results of 6000 Brett Gardner seasons and see what he did.
OBP >.350: 28.5% of the time.
OBP >.400: 1.5% of the time.
SLG > .500: 0.3% of the time.
SLG > .400: 6.8% of the time.

I have no idea what Gardner will do this season. He could hit anywhere from his 20% to 80% forecast and I wouldn't be surprised.

Defense
Luckily, offense is only part of the equation when looking at what Gardner brings the Yankees.
Year Age Pos GP Inn RS (ZR) RS (UZR) Avg (ZR/UZR) p162
2008 24 CF 22 161 3 5 4 38
2009 25 CF 40 303 3 4 4 17


Obviously we have severe sample size issues here, but Gardner was off-the-charts good in CF by zone rating and UZR in his brief MLB time. His +17 projection is probably still too optimistic even though I regressed towards the mean, but WTH, I'll assume that based on the fact that he has 80 speed and speed correlates very highly with OF defense that he's around a +10.

Baserunning
Gardner didn't really have enough opportunities to make his baserunning stats mean anything. He showed as average, but he should be better than that. The top baserunners in the league are typically around +5 in a season, I'll assume Gardner will be around a +3 since he's not likely to be on base as often as those runners.

Value
Category Runs Wins
Offense 6 0.6
Defense 10 1.0
Baserunning 3 0.3
Total 19 1.9
2009 Salary $400,000
Value if:a marginal win is worth: Value Difference
$3,000,000 $5,641,665 $5,241,665
$3,500,000 $6,581,942 $6,181,942
$4,000,000 $7,522,219 $7,122,219
$4,500,000 $8,462,497 $8,062,497
$5,000,000 $9,402,774 $9,002,774
$5,500,000 $10,343,052 $9,943,052
$6,000,000 $11,283,329 $10,883,329


If Gardner's really a +10 defender and a +3 non-SB baserunner, his projections think he's almost an average overall CF. Of course, there's a very good chance he won't hit either his offensive projections or defensive projections. Still, last year, Melky Cabrera was -0.1 WAR, so it looks like moving to Gardner will be an upgrade of at least a win and maybe two.

Conclusion
While I think that MLEs and projections are very valuable and useful tools, I think they break around the margins. Gardner's on those margins. A look at players who accrued similar minor league stats left me fairly unimpressed. That's not to say Gardner won't end up useful. It's just not the most likely scenario, but I'll be pulling for him. He should be able to at the very least provide some utility as a fifth OF/defensive replacement/pinch-runner. I hear that job pays pretty well.

The 2009 Diamond Mind Projection Blowout - American League Edition

Opening Day is almost here, so it’s time to present my annual Diamond Mind Projection blowout. The idea behind this is to take several projection systems and run the 2008 season through Diamond Mind Baseball, which I consider to be the most statistically accurate baseball simulator out there.

I’ve done this for the last few years. If you want to see how previous runs have gone, here are the links: 2005 2006 2007 2008

As you can see if you look at the prior runs, the results can be hit and miss, but that’s certainly understandable. This year, I’m again using six different projection systems, and I’ve run each one 1000 times for a total of 6000 iterations.

Before I present the projected standings, it’s disclaimer time. 1) Projection systems are inherently limited in their accuracy, particularly for pitchers. We can get a rough idea of how most players will perform by looking at their past histories and how similar players have performed, and factoring in aging and regression, but abilities/talent can change in ways that can’t be forecasted.

2) Playing time distribution in these simulations will not match the actual playing time of the players involved. I used the rosters and depth charts available at MLB.com and Baseball Prospectus as my guide to set these up as realistically as possible, but it’s a possible source of error. Rosters were set up to have 35-40 or so active players per team, and to get a reasonable amount of playing time from the bench and extra pitchers, to more closely model reality.

3) We cannot predict injuries and/or roster changes. These simulations do include projected playing time based on past health issues, so someone like Rich Harden is not expected to make 30 starts. I’ve also included random injuries which may lead to some of the outlying results you see, but there’s no way to account for all the fluctuations that will happen with rosters this season.

4) These are the averages of 1000 seasons, so the results will tend to regress towards the mean. The final standings will not look like this, because they only play the season once.

5) These are NOT my predictions. These are projections based on running a computer simulation thousands of times with projection data that is inherently limited. If your favorite team doesn’t project well, don’t blame me, blame the computers and spreadsheets that projected them. I guess you can blame me for the CAIRO results if you want, otherwise you can take heart in the 2005 White Sox projecting to win 79 games, the 2006 Tigers projecting to win 80, or the 2007 Rockies projecting to win 79.

6) Since this is all automated, I don’t break ties. I simply award all ties a share of either the division title or wild card when it happens which is why you may see some funny decimal places in the standings that follow.

OK, so now that the disclaimers are out of the way, onto the projected standings. I am showing W-L to one decimal point to deal with displayed rounding issues and so I don’t get people asking me why the wins and losses don’t add up to exactly 2430, not to imply that these results are that precise.

There’s too much crap to fit it all into one post, so I’ve created separate posts for both leagues. 2009 Diamond Mind Projection Blowout - National League Summary

And here are the combined standings of all 6000 projections:

AL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYA 95.9 66.1 853 711 2908.8 1776.2 90 - 102 813 - 894 673 - 749 96 98 3058 1897 963 74 8 0 100 95 - 104
BOS 94.3 67.7 837 703 2157.3 2053.4 88 - 101 796 - 879 667 - 739 94 94 2295 2205 1351 130 19 0 94 90 - 98
TAM 90.1 71.9 795 695 916.3 1591.2 84 - 96 756 - 834 659 - 732 90 89 1009 1735 2753 431 72 0 88 83 - 92
TOR 75.6 86.4 691 742 9.4 80.3 69 - 82 654 - 728 705 - 780 76 74 14 100 410 2979 2497 0 78 74 - 83
BAL 74.5 87.5 781 844 8.3 46.3 68 - 81 742 - 820 803 - 885 74 74 10 63 320 2457 3150 0 71 66 - 76
AL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CLE 85.5 76.5 803 754 2958.1 110.7 79 - 92 763 - 843 716 - 792 86 88 3092 1619 775 378 136 0 89 85 - 94
DET 81.4 80.6 784 775 1526.9 77.7 75 - 88 745 - 822 736 - 814 82 83 1629 1751 1159 901 560 0 83 80 - 87
MIN 79.5 82.5 748 769 1017.4 75.1 73 - 86 710 - 786 729 - 808 79 78 1102 1378 1558 1262 700 0 79 76 - 82
KC 74.6 87.4 728 801 259.1 18.5 68 - 81 690 - 766 761 - 841 75 75 291 746 1328 1652 1983 0 75 71 - 78
CHA 74.1 87.9 751 826 238.5 17.5 68 - 80 713 - 790 787 - 865 74 74 266 676 1188 1674 2196 0 69 65 - 74
AL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAA 85.4 76.6 777 734 3356.4 55.8 79 - 92 737 - 816 696 - 772 85 86 3498 1607 708 187 0 0 88 84 - 93
OAK 81.1 80.9 768 755 1563.4 60.3 75 - 87 728 - 808 717 - 793 81 82 1673 2155 1607 565 0 0 82 78 - 86
SEA 77.8 84.2 710 737 882.8 26.9 71 - 84 673 - 746 698 - 775 78 77 961 1631 1998 1410 0 0 77 73 - 80
TEX 72.1 89.9 776 879 199.1 10.2 66 - 79 737 - 815 835 - 924 72 72 227 672 1578 3523 0 0 70 64 - 75
Avg WC 93.3
Legend
W:Average wins over 1000 seasons
L:Average losses over 1000 seasons
RF:Average runs for(scored) over 1000 seasons
RA:Average runs allowed over 1000 seasons
Div: Number of division titles won over 1000 season. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.

I'll run through the divisions and teams briefly: AL East Regular readers know that this whole exercise is just an excuse to make use of pie charts, so I'll start off each division writeup with a pie chart showing the breakdown for how the division titles were distributed. The pie charts here are for the combination of all projections. To look at the same thing for each separate projection just go to the appropriate link(s) above.
Team: New York Yankees
Avg Prj W: 96
2008 Actual W: 89
2008 PythagenPat W: 87
W Diff: 7
PythagenPat W Diff: 9
Avg Prj RF: 853
2008 RF: 789
RF Diff: 64
Avg RA: 711
2008 RA: 727
RA Diff: -16
RF+RA Diff: 80
Division %: 48%
Wild Card %: 30%
Playoff %: 78%
High W: 98 (hbt)
Low W: 94 (marcel)
Gap: 4
Avg Div Plc: 1
Are the Yankees the best team in baseball? The numbers think so, although they thought so last year as well. The pitching and defense projects to be about two wins better than last season, but the bigger gain is on the offensive side (+65 runs) based on adding Mark Teixeira and Nick Swisher, plus more expected contributions from Robinson Cano, Jorge Posada and Hideki Matsui. So a projected 81 run differential improvement adds about seven wins to last year's actual 89 win team, and about nine to their PythagenPat 87 wins. Why they might be better than projected: We can't predict injuries, but in order to handle some of the downside risk I restricted Alex Rodriguez's playing time to around 120 games and Jorge Posada to around 100 games. On the pitching side I assumed that they will not get full seasons out of any of A.J. Burnett (around 27 starts), Chien-Ming Wang (around 26 starts), Andy Pettitte (around 25 starts) and Joba Chamberlain (around 23 starts). If those four are able to make more starts than that the Yanks should be a little better. Why they might be worse than projected: They're not as deep as they could be. Having the loser of the Nady/Swisher battle around for corner oF and 1B depth will help, but they're susceptible at other positions. Right now the rotation looks solid, and with Phil Hughes, Ian Kennedy and Alfredo Aceves around they have some decent projected depth, but it's a reasonable question how good any of those three may be in 2009 if pressed into duty. The bullpen has some talented arms who project fairly well, but aside from Mariano Rivera they all carry some risk.

Legend
Avg Prj W: Average projected wins
2008 Actual W: Actual wins in 2008
2008 PythagenPat W: 2008 PythagenPat Wins
W Diff: Avg Prj W - 2008 Actual W
PythagenPat W Diff: Avg Prj W - 2008 PythagenPat W
Avg Prj RF: Average projected runs scored
2008 RF: 2008 runs scored
RF Diff: Avg Prj RF - 2008 RF
Avg RA: Average projected runs allowed
2008 RA: 2008 runs allowed
RA Diff: Avg Prj RA - 2008 RA
RF+RA Diff: Projected run differential delta
Division %: Percentage of times the team won their division
Wild Card %: Percentage of time the team won the wild card
Playoff %: Division% plus Wild Card %
High W: Higest average W projection and system
Low W: Lowest average W projection and system
Gap: Gap between High W and Low W
Avg Div Plc: Average place in division

Team: Boston
Avg Prj W: 94
2008 Actual W: 95
2008 PythagenPat W: 96
W Diff: -1
PythagenPat W Diff: -2
Avg Prj RF: 837
2008 RF: 845
RF Diff: -8
Avg RA: 703
2008 RA: 694
RA Diff: 9
RF+RA Diff: -17
Division %: 36%
Wild Card %: 34%
Playoff %: 70%
High W: 96 (chone)
Low W: 92 (marcel)
Gap: 4
Avg Div Plc: 2
Boston returns just about all their key players from last year's 96 win PythagenPat team, but they are projected to score a few less runs and allow a few more, which knocks them down by a win. Given the margin of error we're dealing with here, I'd say they are basically even with the Yankees, although they're tough to project given the uncertainty of some of their off-season signings. Why they might be better than projected: The biggest reason is Jon Lester. Lester was outstanding last year as he appeared to finally have regained his strength after his cancer scare. However, the projection systems don't care about why Lester struggled in his prior seasons. They just see that he did and that suppresses his projections in 2009. While the jump in his innings last year is a possible concern, I'd estimate that a healthy Lester should be at least a win better than projected. The projection systems also expect Dustin Pedroia and Kevin Youkilis to regress somewhat. It's tough to say what kind of contributions they'll get out of Smoltz/Penny and Saito, all of whom are talented but who are all working their way back from injuries. If any of them can rebound somewhat, that will help out a bit. Why they might be worse than projected: Daiskuke Matsuzaka outpitched his peripherals last year and may struggle to match his efficacy of last season. David Ortiz is projected to bounce back a fair amount but it's possible that his wrist injury may make that hard. Jed Lowrie looks entrenched as the starting SS, and while his defensive metrics were very good in a very small sample size last season, his minor league scouting reports are less sanguine about his defense. It's entirely possible that none of Penny/Smoltz/Saito contribute anything meaningful. Still, I unfortunately have a hard time seeing them being much worse.

Team: Tampa Bay
Avg Prj W: 90
2008 Actual W: 97
2008 PythagenPat W: 92
W Diff: -7
PythagenPat W Diff: -2
Avg Prj RF: 795
2008 RF: 774
RF Diff: 21
Avg RA: 695
2008 RA: 671
RA Diff: 24
RF+RA Diff: -3
Division %: 15%
Wild Card %: 27%
Playoff %: 42%
High W: 92 (pecota)
Low W: 88 (chone)
Gap: 4
Avg Div Plc: 3
The upstart Rays (Tampa Bay fans have to be tired of the word upstart by now) surprised most of the mainstream media with their performance last season, although CHONE and PECOTA both expected them to be pretty good. The secret's out now, but this is a very talented group of players and they should be in the thick of the AL East and wild card race all season. Why they might be better than projected: 23. 24. 25. 27. Most of their key players are young and have the potential for growth beyond what the typical aging patterns built into projections systems would assume. They've got a deep farm system which can help them patch from within or go out and trade for help if needed. David Price's projections are pretty conservative in general based on the little pro experience he has. Although he'll start the season in AAA, he has a good chance to be up soon and to contribute more than projected if you go by his stuff and his scouting reports. Why they might be worse than projected: They got some out of character performances from several relievers last year, and some or all of them could digress a touch. Like everyone, injuries could hurt them, although their overall organizational depth should mitigate that. They're in probably the toughest division in baseball, although they're a big part of that.

Team: Toronto
Avg Prj W: 76
2008 Actual W: 86
2008 PythagenPat W: 93
W Diff: -10
PythagenPat W Diff: -17
Avg Prj RF: 692
2008 RF: 714
RF Diff: -22
Avg RA: 742
2008 RA: 610
RA Diff: 132
RF+RA Diff: -154
Division %: 0%
Wild Card %: 1%
Playoff %: 1%
High W: 77 (cairo)
Low W: 74 (pecota)
Gap: 3
Avg Div Plc: 4
Why they might be better than projected: Travis Snider is a very good prospect, but his average projection is only .255/.321/.426. He has the talent to exceed that although he's still very young. They have arguably the most valuable pitcher in baseball at the front of their rotation. Vernon Wells could play a full season. Why they might be worse than projected: They've got a lot of question marks in their rotation, and their offense looks unimpressive. If Baltimore makes a leap forward, it will likely come at the expense of the Jays.

Team: Baltimore
Avg Prj W: 74
2008 Actual W: 68
2008 PythagenPat W: 73
W Diff: 6
PythagenPat W Diff: 1
Avg Prj RF: 781
2008 RF: 782
RF Diff: -1
Avg RA: 844
2008 RA: 869
RA Diff: -25
RF+RA Diff: 24
Division %: 0%
Wild Card %: 1%
Playoff %: 1%
High W: 76 (chone)
Low W: 73 (pecota)
Gap: 3
Avg Div Plc: 5
Baltimore's not really a bad team right now. Unfortunately for them, they're in the AL East. I calculate a rough dvisional penalty using the formula N - N/2 times Opponent's winning percentage, where N is the number of interdivisional games. In Baltimore's case, their collective AL East oppenents project to a winning percentage of .5495, so their AL East penalty is around 4 wins. Out of curiosity, I flipped Milwaukee with Baltimore and ran 100 simulations. Baltimore went from 74-88 on average to 81-81, and Milwaukee went from 83-79 on average to 75-87. Why they might be better than projected: They have Matt Wieters 'Nuff said. Actually, that's lazy. They also have Nick Markakis, who's awesome, and Adam Jones and Felix Pie who have the talent to be awesome. Rich Hill looked like he was on the verge of being a solid lefty starter until his back and control deserted him. While the odds of it are small, he could return to where he was in 2007. Why they might be worse than projected: Their rotation is full of question marks. Adam Eaton may actually pitch for them. They are going to have a crap load of tough games.

Team: Chicago White Sox
Avg Prj W: 74
2008 Actual W: 89
2008 PythagenPat W: 89
W Diff: -15
PythagenPat W Diff: -15
Avg Prj RF: 751
2008 RF: 811
RF Diff: -60
Avg RA: 826
2008 RA: 729
RA Diff: 97
RF+RA Diff: -157
Division %: 4%
Wild Card %: 0%
Playoff %: 4%
High W: 77 (cairo)
Low W: 72 (zips)
Gap: 5
Avg Div Plc: 5
Why they might be better than projected: Because they almost always are? 2005: +20 2006: + 8 2007: - 4
2008: +15
Those are the differences between the White Sox projections I've run since 2005 and their actual win totals. When a model misses once, it could be luck. When it misses twice it could also be luck. When it misses three times, it could conceivably still be luck, but more likely it points to some kind of systemic error in the model.
They may not project well statistically, but I think Kenny Williams and his scouts do well in identifying breakout candidates and players who are better-suited to their ballpark. I also think Don Cooper is one of the best pitching coaches in baseball and that helps them too. The projections generally assume regression from Carlos Quentin, Gavin Floyd and John Danks, but it's certainly possible all have improved tangibly enough to make those projections pessimistic given their ages (26, 26 and 23 respectively).
Why they might be worse than projected: Their young players could all hit/pitch like their projections say, and their older players like Jermaine Dye and Jim Thome could start to show the effects of their age.

Team: Cleveland
Avg Prj W: 86
2008 Actual W: 81
2008 PythagenPat W: 85
W Diff: 5
PythagenPat W Diff: 1
Avg Prj RF: 803
2008 RF: 805
RF Diff: -2
Avg RA: 754
2008 RA: 761
RA Diff: -7
RF+RA Diff: 5
Division %: 49%
Wild Card %: 2%
Playoff %: 51%
High W: 88 (chone)
Low W: 84 (hbt)
Gap: 4
Avg Div Plc: 1
Why they might be better than projected: After leading the league in OPS+ in 2004 and 2006, Travis Hafner's performance has plummetted. He's still fairly young and a rebound by him would be a big boost to the Indians' lineup. Grady Sizemore's already playing at an MVP-level clip but he's still young enough to have some more growth in him. Cliff Lee's probably not going to be as good as he was in 2008, but he also may not regress as much as the projections expect.
Why they might be worse than projected: Hafner may not rebound at all. They've got Carl Pavano as their #3 starter. They could use a little more power from the infield and OF corners than they project to get.

Team: Detroit
Avg Prj W: 81
2008 Actual W: 74
2008 PythagenPat W: 78
W Diff: 7
PythagenPat W Diff: 3
Avg Prj RF: 784
2008 RF: 821
RF Diff: -37
Avg RA: 775
2008 RA: 857
RA Diff: -82
RF+RA Diff: 45
Division %: 25% Wild Card %: 1% Playoff %: 27% High W: 85 (chone)
Low W: 76 (marcel)
Gap: 9
Avg Div Plc: 2
Why they might be better than projected: Their defense should be better with Inge at third and Adam Everett as short. Miguel Cabrera is still one of the best hitters in baseball. Gary Sheffield looked cooked in 2008, but if healthy he could exceed his projections. Justin Verlander also has the talent to outpitch his projections by a non-trivial amount.
Why they might be worse than projected: Their rotation is still a little iffy with Jeremy Bonderman's health status and Dontrelle Willis's lost talent. Brandon Lyon's penciled in as the closer right now but his health and effectiveness are legitimate concerns.
Team: Kansas City
Avg Prj W: 75
2008 Actual W: 75
2008 PythagenPat W: 72
W Diff: 0
PythagenPat W Diff: 3
Avg Prj RF: 728
2008 RF: 691
RF Diff: 37
Avg RA: 801
2008 RA: 781
RA Diff: 20
RF+RA Diff: 17
Division %: 4%
Wild Card %: 0% Playoff %: 5% High W: 77 (chone) Low W: 70 (cairo)
Gap: 7
Avg Div Plc: 4
Why they might be better than projected: Alex Gordon improved his OBP by 37 points and his SLG by 21 pts in 2008 and could possibly make more improvements in 2009. Billy Butler disappointed in 2008 but he's still really young (23) and still has that prospect sheen. Zack Greinke was very good last year and over his last 11 starts he had a 2.34 ERA and struck out 69 hitters in 69.1 innings. The projections expect him to give some of those gains back, but he may not.
Why they might be worse than projected: Kyle Farnsworth. Right now 2B looks suspect, although Mark Teahan may be able to make the transition.

Team: Minnesota
Avg Prj W: 79
2008 Actual W: 88
2008 PythagenPat W: 89
W Diff: -9
PythagenPat W Diff: -10
Avg Prj RF: 748
2008 RF: 829
RF Diff: -81
Avg RA: 769
2008 RA: 745
RA Diff: 24
RF+RA Diff: -105
Division %: 17%
Wild Card %: 1%
Playoff %: 18% High W: 85 (chone) Low W: 78 (chone)
Gap: 7
Avg Div Plc: 3
Why they might be better than projected: Most of their core players are relatively young. Their defense projects to be around 20 runs above average using a combination of zone rating and Fan Graphs' UZR, something that may or not be factored in adequately in the various projection systems.
Why they might be worse than projected: Joe Mauer is probably their most important player, and he's dealing with knee and back issues this spring. Joe Crede's back may not hold up that well playing half his games on turf,


AL West

Team: Los Angeles Angels
Avg Prj W: 85
2008 Actual W: 100
2008 PythagenPat W: 88
W Diff: -15
PythagenPat W Diff: -3
Avg Prj RF: 777
2008 RF: 765
RF Diff: 12
Avg RA: 734
2008 RA: 697
RA Diff: 37
RF+RA Diff: -25
Division %: 56%
Wild Card %: 1% Playoff %: 57% High W: 87 (pecota) Low W: 84 (hbt)
Gap: 3
Avg Div Plc: 1
Why they might be better than projected: Their division isn't particularly strong, which may help them win a few more games than they project to. Howie Kendrick hasn't been able to stay on the field. The ability to stay healthy is a skill, but he may be able to crack the magic 500 PA barrier. They may get more innings from Kelvim Escobar than I have him projected for (around 80 innings).
Why they might be worse than projected: Ervin Santana and John Lackey are likely to open the season on the DL. While I assume that just about every pitcher will miss at least 2-3 starts a season in my depth charts, they could both miss more than that. Vlad Guerrero looks like he may be slowing down a little, and could underperform his projections. I've assumed Bobby Abreu will DH more than play the field, and his glove could hurt them if he sees too much time in the OF.

Team: Oakland
Avg Prj W: 81
2008 Actual W: 75
2008 PythagenPat W: 76
W Diff: 6
PythagenPat W Diff: 5
Avg Prj RF: 768
2008 RF: 646
RF Diff: 122
Avg RA: 755
2008 RA: 690
RA Diff: 65
RF+RA Diff: 57
Division %: 26%
Wild Card %: 1%
Playoff %: 27% High W: 83 (chone) Low W: 78 (chone)
Gap: 5
Avg Div Plc: 2
Why they might be better than projected: The projections all generally agree that Matt Holliday's performance will take a fairly significant hit by moving to the AL and from Colorado to Oakland. While I can't speak for the exact park/league factors of all the different systems, I can tell you that in CAIRO, Coors Holliday projected to hit .334/.409/.576 vs. Oakland Holliday hitting .295/.374/.501. If Holliday's game translates better than that, the A's should be able to snag another win or two. Even with Jason Giambi at first base, the A's look to have enough good defenders to have an above average overall defense. They've also got one of the deeper farm systems in baseball, which should help them with both filling in holes from within and acquiring pieces if needed. Why they might be worse than projected: The health of some of their key players is usually an issue, particulary Eric Chavez. They'll also be relying on some pretty young pitchers who are talented, but notoriously difficult to project.

Team: Seattle
Avg Prj W: 79
2008 Actual W: 61
2008 PythagenPat W: 67
W Diff: 18
PythagenPat W Diff: 12
Avg Prj RF: 712
2008 RF: 671
RF Diff: 41
Avg RA: 725
2008 RA: 811
RA Diff: -86
RF+RA Diff: 127
Division %: 9%
Wild Card %: 4% Playoff %: 13% High W: 81 (cairo) Low W: 78 (hbt)
Gap: 3
Avg Div Plc: 3
Why they might be better than projected: Felix Hernandez is already really good, but it wouldn't surprise anyone if he became the best pitcher in the majors as soon as this season. They've shored up their defense (the projected difference between a full season of Endy Chavez vs. Raul Ibanez is around 20 runs just by itself). Erik Bedard could make more than the 24 starts I have him penciled in for.
Why they might be worse than projected: The Mariners have several veterans in the last year of their contracts who they may decide to trade as part of their rebuilding. Trading any of them may cost them some wins in the short-term. The Mariners still haven't annointed a closer. While the role is generally overrated, it's still nice to have a decent one.

Team: Texas
Avg Prj W: 72
2008 Actual W: 79
2008 PythagenPat W: 75
W Diff: -7
PythagenPat W Diff: -3
Avg Prj RF: 776
2008 RF: 901
RF Diff: -125
Avg RA: 879
2008 RA: 967
RA Diff: -88
RF+RA Diff: -37
Division %: 3%
Wild Card %: 0%
Playoff %: 3% High W: 75 (marcel) Low W: 69 (zips)
Gap: 6
Avg Div Plc: 4
Why they might be better than projected: The Rangers probably have the best farm system in baseball. Neftali Feliz and Derek Holland should begin the year in AAA and be available for a boost in the rotation at some point during the season. Ian Kinsler out-OPS+'ed AL MVP Dustin Pedroia by 12 points (134 to 122) and could outperform his projections. Why they might be worse than projected: Michael Young's transition to 3B may not work out real well. Kinsler hasn't been able to play more than 130 games yet in his MLB career so his health is a potential concern. Anyone who wants to look at or play around with the raw team level data from the simulations can download this Excel spreadsheet. And that's your 2009 Diamond Mind Projection Blowout. Like I say every year, results are not guaranteed.

The 2009 Diamond Mind Projection Blowout - National League Edition

Continuing off where the American League Edition left off, here are the results for the Senior Circuit. To read all the caveats and disclaimers that you should keep in mind when looking at these, check the main post. And here are the combined standings of all 6000 projections:

NL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYN 88.1 73.9 832 764 2409.0 803.8 82 - 94 791 - 873 726 - 802 88 89 2539 1808 1243 335 75 0 93 88 - 97
ATL 86.7 75.3 784 727 1793.8 795.1 80 - 93 745 - 823 690 - 764 87 88 1907 1940 1620 438 95 0 87 84 - 91
PHI 86.0 76.0 816 772 1654.8 775.7 80 - 92 776 - 855 733 - 811 86 85 1769 1879 1692 489 171 0 82 79 - 86
WAS 72.7 89.3 763 844 64.7 52.2 66 - 79 725 - 801 804 - 884 73 74 76 217 624 2423 2660 0 75 71 - 80
FLA 72.5 89.5 736 813 80.4 53.5 66 - 79 698 - 773 773 - 853 73 72 89 252 678 2290 2691 0 68 63 - 73
NL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CHN 91.5 70.5 815 713 3933.8 534.5 85 - 98 776 - 855 675 - 750 92 93 4057 1248 466 159 58 12 93 89 - 98
STL 84.1 77.9 771 740 1036.5 728.9 78 - 90 732 - 810 702 - 778 84 85 1125 2060 1519 778 392 126 87 83 - 90
MIL 81.9 80.1 778 769 636.8 517.8 75 - 88 740 - 815 730 - 808 82 82 699 1619 1605 1109 655 313 82 78 - 85
CIN 77.8 84.2 739 769 261.5 208.4 72 - 84 702 - 776 730 - 807 78 78 291 752 1359 1817 1205 576 77 74 - 81
HOU 73.0 89.0 729 806 70.8 79.3 67 - 79 691 - 766 766 - 846 73 75 80 347 676 1233 2045 1619 73 69 - 76
PIT 69.8 92.2 731 842 60.5 43.7 63 - 76 693 - 769 801 - 883 70 71 66 194 407 886 1488 2959 66 61 - 71
NL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAN 87.8 74.2 805 743 3114.0 430.8 81 - 94 766 - 845 705 - 781 88 88 3246 1560 701 368 125 0 91 87 - 96
ARI 83.7 78.3 735 715 1559.7 428.8 77 - 90 698 - 772 677 - 753 84 82 1662 1751 1229 836 522 0 85 82 - 89
SF 79.3 82.7 712 725 554.0 211.5 73 - 86 675 - 749 687 - 763 79 80 609 1157 1627 1578 1029 0 81 77 - 84
COL 79.0 83.0 798 818 577.7 233.4 73 - 85 757 - 838 778 - 858 79 79 630 1162 1475 1563 1170 0 76 73 - 80
SD 74.5 87.5 714 773 194.7 102.7 68 - 81 677 - 751 735 - 810 74 74 218 555 978 1502 2747 0 71 66 - 75
Avg WC 89.5
Legend
W:Average wins over 1000 seasons
L:Average losses over 1000 seasons
RF:Average runs for(scored) over 1000 seasons
RA:Average runs allowed over 1000 seasons
Div: Number of division titles won over 1000 season. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.

I'll run through the divisions and teams briefly:



Legend
Avg Prj W: Average projected wins
2008 Actual W: Actual wins in 2008
2008 PythagenPat W: 2008 PythagenPat Wins
W Diff: Avg Prj W - 2008 Actual W
PythagenPat W Diff: Avg Prj W - 2008 PythagenPat W
Avg Prj RF: Average projected runs scored
2008 RF: 2008 runs scored
RF Diff: Avg Prj RF - 2008 RF
Avg RA: Average projected runs allowed
2008 RA: 2008 runs allowed
RA Diff: Avg Prj RA - 2008 RA
RF+RA Diff: Projected run differential delta
Division %: Percentage of times the team won their division
Wild Card %: Percentage of time the team won the wild card
Playoff %: Division% plus Wild Card %
High W: Higest average W projection and system
Low W: Lowest average W projection and system
Gap: Gap between High W and Low W
Avg Div Plc: Average place in division

NL East
Team: New York Mets
Avg Prj W: 88
2008 Actual W: 89
2008 PythagenPat W: 90
W Diff: -1
PythagenPat W Diff: -2
Avg Prj RF: 832
2008 RF: 799
RF Diff: 33
Avg RA: 765
2008 RA: 715
RA Diff: 50
RF+RA Diff: -17
Division %: 40%
Wild Card %: 13%
Playoff %: 54%
High W: 91 (zips)
Low W: 85 (marcel)
Gap: 6
Avg Div Plc: 1

Why they might be better than projected: Jose Reyes and David Wright may not be done improving. Daniel Murphy's projections are somewhat uninspiring but he looked good in his time in MLB and may outperform them.
Why they might be worse than projected: Livan Hernandez. Tim Redding.

Team: Atlanta
Avg Prj W: 87
2008 Actual W: 72
2008 PythagenPat W: 78
W Diff: 15
PythagenPat W Diff: 9
Avg Prj RF: 784
2008 RF: 753
RF Diff: 31
Avg RA: 727
2008 RA: 778
RA Diff: -51
RF+RA Diff: 82
Division %: 30%
Wild Card %: 13%
Playoff %: 43%
High W: 88 (pecota)
Low W: 85 (chone)
Gap: 3
Avg Div Plc: 2

Why they might be better than projected: Their rotation looks pretty solid with the additions of Derek Lowe, Javier Vazquez and Kenshin Kawakami. They've got Tommy Hanson in the wings if they need reinforcement there and he's emerged as one of the better prospects in baseball (#4 on Baseball America's top 100, #13 on Baseball Prospectus's top 100), Jeff Francouer has been pretty awful the last two seasons, but he has the physical talent to become useful, although he'll have to do it soon.

Why they might be worse than projected: Tom Glavine may not be any better than replacement level now but may pitch more than he deserves to due to his history with the Braves. Francouer may get more playing time than he deserves based on his popularity with the fans and his tools. The health of Chipper Jones, who has hit .342/.435/.592 over the last three seasons, is an annual concern. The health of their top two relievers (Rafael Soriano and Mike Gonzalez) is one as well.

Team: Philadelphia
Avg Prj W: 86
2008 Actual W: 92
2008 PythagenPat W: 93
W Diff: -6
PythagenPat W Diff: -7
Avg Prj RF: 816
2008 RF: 799
RF Diff: 17
Avg RA: 772
2008 RA: 680
RA Diff: 92
RF+RA Diff: -75
Division %: 27%
Wild Card %: 13%
Playoff %: 40%
High W: 89 (zips)
Low W: 83 (marcel)
Gap: 6
Avg Div Plc: 3

Why they might be better than projected: Jamie Moyer breaks projection systems. His average projected ERA is 4.72 which is a full run worse than last year. The difference between his 2008 and his projected 2009 if he makes 30 starts would be somewhere between two and three wins. Carlos Carrasco's projections aren't very impressive, but he's only 22 and has the talent to be a very good starter.

Why they might be worse than projected: Swapping Pat Burrell for Raul Ibanez may make them a little bit too left-handed and could pose some potential matchup problems. It's also a slight defensive downgrade. Cole Hamels's spring training elbow scare may be a precursor to something that would cause him to miss some time. Chase Utley's recovery from his hip surgery may necessitate some missed time.

Team: Florida
Avg Prj W: 73
2008 Actual W: 84
2008 PythagenPat W: 81
W Diff: -11
PythagenPat W Diff: -8
Avg Prj RF: 735
2008 RF: 770
RF Diff: -35
Avg RA: 813
2008 RA: 767
RA Diff: 46
RF+RA Diff: -81
Division %: 1%
Wild Card %: 1%
Playoff %: 2%
High W: 76 (chone)
Low W: 66 (zips)
Gap: 10
Avg Div Plc: 4

Why they might be better than projected: They've got a good amount of young talent on both sides of the ball. A rotation of Josh Johnson, Ricky Nolasco, Anibal Sanchez, Andrew Miller and Chris Volstad is long on potential.

Why they might be worse than projected: Matt Lindstrom's shoulder looks like it may be a concern. They'll be relying on a lot of players with sketchy health in their recent past. Hanley Ramirez has played through shoulder issues the last few seasons but at some point he may not be able to.

Team: Washington
Avg Prj W: 73
2008 Actual W: 59
2008 PythagenPat W: 62
W Diff: 14
PythagenPat W Diff: 11
Avg Prj RF: 763
2008 RF: 641
RF Diff: 122
Avg RA: 844
2008 RA: 825
RA Diff: 19
RF+RA Diff: 103
Division %: 1%
Wild Card %: 1%
Playoff %: 2%
High W: 76 (chone)
Low W: 69 (hbt)
Gap: 7
Avg Div Plc: 4

Why they might be better than projected: Maybe Cristian Guzman will actually be the MVP candidate PECOTA seems to think he is. Maybe Nick Johnson will play in more than five games.

Why they might be worse than projected: Their pitching staff is a little frightening.



NL Central


Team: Chicago Cubs
Avg Prj W: 91
2008 Actual W: 97
2008 PythagenPat W: 99
W Diff: -6
PythagenPat W Diff: -8
Avg Prj RF: 815
2008 RF: 855
RF Diff: -40
Avg RA: 713
2008 RA: 671
RA Diff: 42
RF+RA Diff: -82
Division %: 66%
Wild Card %: 9%
Playoff %: 75%
High W: 95 (zips)
Low W: 88 (chone)
Gap: 7
Avg Div Plc: 1

Why they might be better than projected: I restricted Milton Bradley to around 500 PA a season in RF given his past health issues. He could play more than that. I gave Rich Harden 19 starts, but he made 25 last year.

Why they might be worse than projected: I restricted Milton Bradley to around 500 PA a season in RF given his past health issues. He could play less than that. I gave Rich Harden 19 starts, he could pitch less than that.



Team: St. Louis
Avg Prj W: 84
2008 Actual W: 86
2008 PythagenPat W: 87
W Diff: -2
PythagenPat W Diff: -3
Avg Prj RF: 771
2008 RF: 779
RF Diff: -8
Avg RA: 740
2008 RA: 725
RA Diff: 15
RF+RA Diff: -23
Division %: 17%
Wild Card %: 12%
Playoff %: 29%
High W: 87 (zips)
Low W: 82 (pecota)
Gap: 5
Avg Div Plc: 2

Why they might be better than projected: They have the best player in baseball in Albert Pujols, and nothing he might do would surprise me. Chris Carpenter has looked good this spring, but I restricted him to around 15-16 starts a season. In his career, Khalil Greene has hit .270/.318/.484 on the road compared to .225/.289/.369 at home. In some research I did on home/road splits I've found that the average player hits about 10% better at home, so if Greene suffered unduly from PETCO he may exceed his projections handily.

Why they might be worse than projected: Pujols plays through a lot of nagging injuries and there's a possibility he won't play as much as projected. They may get nothing out of Carpenter. Their bullpen looks like a work in progress and may cost them a few wins.

Team: Milwaukee
Avg Prj W: 82
2008 Actual W: 90
2008 PythagenPat W: 87
W Diff: -8
PythagenPat W Diff: -5
Avg Prj RF: 777
2008 RF: 750
RF Diff: 27
Avg RA: 769
2008 RA: 689
RA Diff: 80
RF+RA Diff: -53
Division %: 11%
Wild Card %: 9%
Playoff %: 19%
High W: 86 (pecota)
Low W: 78 (marcel)
Gap: 8
Avg Div Plc: 3

Why they might be better than projected: Prince Fielder was over two wins worse offensively in 2008 than he was in 2007. Rickie Weeks was a win worse. Ryan Braun was a win worse in more playing time. All are young enough to still be improving and could exceed their projections.

Why they might be worse than projected: Their rotation is going to be relying on good performances by some young pitchers(Yovani Gallardo and Manny Parra), which is always a calculated risk.

Team: Cincinnati
Avg Prj W: 78
2008 Actual W: 74
2008 PythagenPat W: 71
W Diff: 4
PythagenPat W Diff: 7
Avg Prj RF: 739
2008 RF: 704
RF Diff: 35
Avg RA: 768
2008 RA: 800
RA Diff: -32
RF+RA Diff: 67
Division %: 4%
Wild Card %: 4%
Playoff %: 8%
High W: 82 (chone)
Low W: 76 (pecota)
Gap: 6
Avg Div Plc: 4

Why they might be better than projected: Jay Bruce. Joey Votto. After a couple of disappointing seasons, Homer Bailey may be able to put it together at age 23. Edinson Volquez was amazing through the All Star Break, 117.2 IP, 126 Ks, 2.29 ERA but scuffled a little after 78.1 IP, 80 Ks, 4.60 ERA. If that was due to fatigue, then he has decent chance to exceed his projections, which also include 80 innings of 7.20 ERA pitching for Texas.

Why they might be worse than projected:

Willy Taveras is a decent glove in CF but he might kill them at the top of the order. The rest of their defense still looks like a possible concern as well. Team: Houston
Avg Prj W: 73
2008 Actual W: 86
2008 PythagenPat W: 78
W Diff: -13
PythagenPat W Diff: -5
Avg Prj RF: 729
2008 RF: 712
RF Diff: 17
Avg RA: 806
2008 RA: 743
RA Diff: 63
RF+RA Diff: -46
Division %: 1%
Wild Card %: 1%
Playoff %: 2%
High W: 77 (hbt)
Low W: 69 (pecota)
Gap: 8
Avg Div Plc: 5

Why they might be better than projected: They get to beat up on Pittsburgh.

Why they might be worse than projected: The rotation? The bench? Miguel Tejada, Ivan Rodriguez and Geoff Blum as starters?

Team: Pittsburgh
Avg Prj W: 70
2008 Actual W: 67
2008 PythagenPat W: 67
W Diff: 3
PythagenPat W Diff: 3
Avg Prj RF: 731
2008 RF: 735
RF Diff: -4
Avg RA: 842
2008 RA: 884
RA Diff: -42
RF+RA Diff: 38
Division %: 1%
Wild Card %: 1%
Playoff %: 2%
High W: 76 (chone)
Low W: 60 (zips)
Gap: 16
Avg Div Plc: 6

Why they might be better than projected:They get to beat up on Houston.

Why they might be worse than projected: 70 wins would be an upgrade of three wins from last year's 67 win squad, which has since lost a half-season of Jason Bay and Xavier Nady. In 6000 iterations, the Pirates won fewer than 50 games 322 times, and fewer than 60 games 942 times.



NL West


Team: Los Angeles Angels
Avg Prj W: 85
2008 Actual W: 100
2008 PythagenPat W: 88
W Diff: -15
PythagenPat W Diff: -3
Avg Prj RF: 777
2008 RF: 765
RF Diff: 12
Avg RA: 734
2008 RA: 697
RA Diff: 37
RF+RA Diff: -25
Division %: 56%
Wild Card %: 1%
Playoff %: 57%
High W: 87 (pecota)
Low W: 84 (hbt)
Gap: 3
Avg Div Plc: 1

Why they might be better than projected: Strong bullpen, mostly young offensive core, Clayton Kershaw and Chad Billingsley.

Why they might be worse than projected: Manny's hammy. Tanyon Sturtze in the role of Scott Proctor.

Team: Arizona
Avg Prj W: 84
2008 Actual W: 82
2008 PythagenPat W: 82
W Diff: 2
PythagenPat W Diff: 2
Avg Prj RF: 735
2008 RF: 720
RF Diff: 15
Avg RA: 715
2008 RA: 706
RA Diff: 9
RF+RA Diff: 6
Division %: 26%
Wild Card %: 7%
Playoff %: 33%
High W: 88 (pecota)
Low W: 79 (marcel)
Gap: 9
Avg Div Plc: 2

Why they might be better than projected: Most of their key players are young enough to improve more than projected.

Why they might be worse than projected: Injuries.

Team: San Francisco
Avg Prj W: 78
2008 Actual W: 72
2008 PythagenPat W: 68
W Diff: 6
PythagenPat W Diff: 10
Avg Prj RF: 711
2008 RF: 640
RF Diff: 71
Avg RA: 737
2008 RA: 759
RA Diff: -22
RF+RA Diff: 93
Division %: 14%
Wild Card %: 0%
Playoff %: 15%
High W: 81 (chone)
Low W: 72 (marcel)
Gap: 9
Avg Div Plc: 4

Why they might be better than projected: Tim Lincecum was so good last year that no projection system expects him to repeat it. Randy Johnson was effective last year in Arizona and made 30 starts, but I restricted him to 25. If he can go more often, that obviously helps. It may not take more than 85 wins to take the NL West, although the average wins for the first place winner was 91 over the 6000 iterations.

Why they might be worse than projected: Johnson may not make 10 starts given his age and his injury past. Bengie Molina is their cleanup hitter. General offensive issues could sink them.

Team: Colorado
Avg Prj W: 79
2008 Actual W: 74
2008 PythagenPat W: 74
W Diff: 5
PythagenPat W Diff: 5
Avg Prj RF: 798
2008 RF: 747
RF Diff: 51
Avg RA: 818
2008 RA: 822
RA Diff: -4
RF+RA Diff: 55
Division %: 10%
Wild Card %: 4%
Playoff %: 13%
High W: 81 (chone)
Low W: 74 (pecota)
Gap: 7
Avg Div Plc: 3

Why they might be better than projected: Chris Ianetta and Ryan Spilboroughs both hit better in 2008 than they are projected to in 2009. Todd Helton battled back issues last year and was restricted to just 361 PA while slugging just .388 which is obscenely bad for a 1B in Colorado. If he can bounce back to his 2007 or 2008 level he would be more valuable than projected. A full season of Troy Tulowitzki on both sides of the ball should help. Ubaldo Jimenez has top shelf stuff but bottom shelf command of it most of the time. A little bit better command and he could be one of the pitchers in baseball.

Why they might be worse than projected: Garrett Atkins (-7 projected UZR) and Brad Hawpe (-18 projected UZR) are among the worst defenders in MLB at their positions. Greg Smith's peripherals did not support his ERA last year(FIP of 4.82 compared to an ERA of 4.16) in Oakland, and he could be a disaster in Coors this year.

Team: San Diego
Avg Prj W: 74
2008 Actual W: 63
2008 PythagenPat W: 67
W Diff: 11
PythagenPat W Diff: 7
Avg Prj RF: 714
2008 RF: 637
RF Diff: 77
Avg RA: 773
2008 RA: 764
RA Diff: 9
RF+RA Diff: 68
Division %: 3%
Wild Card %: 2%
Playoff %: 5%
High W: 78 (chone)
Low W: 71 (zips)
Gap: 7
Avg Div Plc: 5

Why they might be better than projected: They have Jake Peavy and Adrian Gonzalez.

Why they might be worse than projected: Jody Gerut projects pretty well in most of the systems, but a repeat of last year is probably a big question mark. Peavy and Chris Young are injury concerns.



Anyone who wants to look at or play around with the raw team level data from the simulations can download this Excel spreadsheet.

Wednesday, March 19, 2008

Looking Ahead to 2008 - Joba Chamberlain

Due to injury and weight concerns, Joba Chamberlain fell to the 41st pick of the 2006 draft, at which point the Yankees snatched him up. Two seasons later and he's now considered one of the top five prospects in baseball thanks to his meteoric rise in 2007 that saw him shoot through the minors and then dominate as a setup man in the majors.

2007
Joba wasn't projected by any of the major systems for 2007, he was just considered too far away. Here's how his performance in the minors looked as MLEs(major league equivalencies).

Year Name Age Team G GS IP H ER HR BB SO ERA H/9 HR/9 BB/9 K/9
2007 Joba Chamberlain 21 Tam 7 7 38.0 30 12 1 13 32 2.84 7.1 0.2 3.1 7.6
2007 Joba Chamberlain 21 Tre 8 7 38.0 35 19 8 17 42 4.50 8.3 1.9 4.0 9.9
2007 Joba Chamberlain 21 SWB 3 1 8.0 5 0 0 1 14 0.00 5.6 0.0 1.1 15.8
Total 18 15 84 70 31 9 31 88 3.32 7.5 1.0 3.3 9.4


Those are very impressive numbers for a 21 year old in his first full pro season. Of course Joba followed that up with 24 eye-popping innings in the majors, allowing just 12 hits, 1 earned run, 6 walks, all while fanning 34 hitters and putting up an ERA of 0.38. No one could have realistically predicted or projected how good Chamberlain would be in 2007.

2008
Joba's role in 2008 has been the subject of much speculation. The majority of the mediots want him to stay in the bullpen because of how good he was there. Thankfully for most of us fans who realize a potentially good starter is more valuable in the rotation the Yankees don't agree, although Chamberlain will likely begin the season in the pen due to innings limits the Yankees have placed on his 22 year old arm. This is the smart move IMO.

Here's how Joba projects in the various systems for 2008.

Projection G GS IP H R ER HR BB SO ERA FIP RSAA RSAR FRSAA FRSAR
chone 24 10 65 61 30 28 7 25 75 3.88 3.45 4 11 7 12
marcel 13 16 37 33 16 14 3 12 34 3.41 3.39 4 8 4 7
pecota 65 15 146 126 60 55 12 55 162 3.39 3.18 17 32 19 31
zips 24 24 134 136 72 66 19 33 121 4.43 3.98 1 14 6 17
cairo 29 18 121 114 57 55 15 40 106 4.09 4.09 5 17 3 14
average 31 17 101 94 47 44 11 33 100 3.90 3.66 6 16 8 16


There's a pretty wide range here, although the consensus is pretty good. CAIRO's projection is strictly as a starter, here's how his CAIRO relief projection would look.

Relief Projection G GS IP H R ER HR BB SO ERA FIP RSAA RSAR FRSAA FRSAR
57 0 66 55 25 23 7 23 78 3.10 3.31 4 11 5 11


Lastly, here's Joba's range of CAIRO projections:

CAIRO % G GS IP H R ER HR BB SO ERA FIP RSAA RSAR FRSAA FRSAR
80% 29 18 121 104 50 48 11 33 116 3.54 3.34 13 25 14 24
65% 29 18 121 109 53 51 13 36 111 3.82 3.72 9 21 9 19
Baseline 29 18 121 114 57 55 15 40 106 4.09 4.09 5 17 3 14
35% 29 18 121 120 61 59 17 43 100 4.37 4.46 1 13 -2 9
20% 29 18 121 125 65 62 19 46 95 4.64 4.84 -2 10 -7 4


There's a fairly big range here since we only have one year of data for Chamberlain, but even at his 20% projectile he's a win above a replacement level starter if he pitches 121 innings. If we add 121 innings of his baseline starter projection to say 30 innings at his relief baseline, he would be worth about 23 runs above a replacement level pitcher, or 2.3 wins.

It'll be interesting to see how Joba develops as a starter. According to Pitch F/X he averaged 98 mph with his fastball out of the pen. He'll probably lose 3-4 mph on that average as a starter, so how he makes use of his secondary pitches will be key.

As far as starting him in the pen and moving him to the rotation, the Yankees would do well to follow what the Dodgers did with Chad Billingsley just last year. Billingsley started in the pen, pitched 23 games and then moved into the rotation in mid-June and made 20 starts. Innings total on the season, 147.

Value
As a rookie, Joba projects to be a tremendous bargain compared to the free agent cost of a marginal win.
Proj WAR Proj Value Salary Difference
2.3 $10,350,000 $400,000 $9,950,000


Conclusion
We like Joba so much at the RLYW we sponsored his Baseball Reference page. On a pure tools level he is by far the best prospect of the Hughes/Joba/IPK trio. That being said, I'd expect some growing pains this year and I expect Hughes to be the better pitcher this season. Still, I think Joba will be solid, maybe somewhere between his 65% and baseline CAIRO projections this year. My only fear is that disaster in the pen may keep him there all year, but hopefully not.

Tuesday, March 18, 2008

Daily Record: Pettitte looks good against Red Sox

TAMPA, Fla. -- Andy Pettitte conveniently developed a case of mild elbow tendinitis last week, just in time to miss the game against the Tampa Bay Rays and the messy brawl that ensued. As younger players grappled and threw punches, he was safely back at Legends Field. Miraculously, he healed in time to throw a long bullpen session two days later and start against the Red Sox on Monday. The missed start was an afterthought as Pettitte threw 65 pitches in a strong performance against a lineup that included David Ortiz, Kevin Youkilis, Mike Lowell and Jason Varitek. "I'm fine now; there's no concern," Pettitte said as the Yankees were finishing off an 8-4 victory before 11,036 at Legends Field. "I didn't always feel great because I got out of synch a little bit. But my arm was fine." Pettitte is being lined up to start the second game of the regular season against Toronto at Yankee Stadium. As a result, he will pitch in a minor-league game on Saturday rather than face the Blue Jays.
Pettitte looked pretty good yesterday I thought. His velocity was decent and he didn't show any ill effects from his elbow tendinitis.

Monday, March 17, 2008

Looking Ahead to 2008 - Ian Kennedy

Ian Kennedy was the Yankees' first pick in the 2006 draft. Highly touted after his sophomore year he struggled in his junior year which made his stock drop which was probably the main reason he fell to the Yanks at all. He did not sign in time to see much regular minor league action in 2006 but was able to pitch in the Hawaiian winter league. Kennedy tore through the minors in 2007 and made it to the show.

2007
On the surface, Kennedy's 1.87 minor league ERA is pretty damn impressive. However, to properly contextualize it we should look at his MLEs (major league equivalencies).

Name Age Team G GS IP H ER HR BB SO ERA H/9 HR/9 BB/9 K/9
Ian Kennedy 21 STI 1 1 2.0 2 0 0 2 1 0.00 9.0 0.0 9.0 4.5
Ian Kennedy 22 Tam 11 10 57.0 52 23 6 26 46 3.63 8.2 0.9 4.1 7.3
Ian Kennedy 22 Tre 9 9 44.0 40 22 5 19 37 4.50 8.2 1.0 3.9 7.6
Ian Kennedy 22 SWB 6 6 33.0 31 14 4 11 25 3.82 8.5 1.1 3.0 6.8
Total 26 25 134 123 59 15 56 108 3.96 8.3 1.0 3.8 7.3
He finished his season off with three effective starts in the bigs. Kennedy wasn't projected coming into 2007 so we can't really compare what he actually did to what he was projected to do, but I think it's safe to say he exceeded expectations.

2008
Fairly or not, the knock on Kennedy is his ceiling. Since he doesn't throw in the mid 90s he's not expected to be much better than a third starter. I'd say it's too early to definitively make that assessment, but I don't disagree that physically the label fits. Still, there's nothing wrong with having a third starter making league minimum plus his signing bonus. Here's how the various projection systems see Kennedy in 2008.
Projection G GS IP H R ER HR BB SO ERA FIP RSAA RSAR FRSAA FRSAR
chone 19 18 92 92 50 46 11 44 82 4.50 4.41 0 9 -1 7
marcel 17 17 69 66 34 30 7 26 53 3.91 4.11 4 11 2 8
pecota 38 25 141 129 72 66 16 68 120 4.24 4.42 4 18 -1 11
zips 27 26 148 158 79 72 16 42 94 4.38 4.19 2 16 3 15
cairo 32 32 184 188 96 92 24 68 136 4.50 4.53 -1 18 -4 12
average 27 23 127 127 66 61 15 50 97 4.35 4.36 2 14 0 11


The consensus is that Kennedy should be better than league average. His projected innings are low, he threw around 160 innings last year. He can probably pitch 180 or so if he stays healthy, so that would up his RSAA(runs saved above average) to about 8 and his RSAR(runs saved above replacement) to about 25. I'd caution that we only have one year of data when we are projecting Kennedy which means the reliability of his projection is probably pretty small.

Here's the range of projections that CAIRO has for IPK:
CAIRO % G GS IP H R ER HR BB SO ERA FIP RSAA RSAR FRSAA FRSAR
80% 32 32 184 174 86 82 19 60 148 4.03 3.92 9 27 9 25
65% 32 32 184 181 91 87 22 64 142 4.27 4.22 4 22 3 18
Baseline 32 32 184 188 96 92 24 68 136 4.50 4.53 -1 18 -4 12
35% 32 32 184 195 101 97 26 72 130 4.73 4.83 -5 13 -10 6
20% 32 32 184 202 106 102 29 76 124 4.97 5.13 -10 8 -16 0


CAIRO doesn't see greatness from Kennedy in 2008, but it doesn't see disaster either.

Value
Rookie pitcher who projects to be better than league average? I smell cost-effiency.
Proj WAR Proj Value Salary Difference
2.6 $11,700,000 $400,000 $11,300,000


Conclusion
The young Mussina comp doesn't really work with Kennedy. Young Moose threw 92-95 mph. I see Kennedy more as a Brad Radke type pitcher right now, with an average fastball and a great changeup. Radke had two very good seasons and a bunch of above average seasons, and I think that right now that's the way I'd see Kennedy profiling. Of course, Kennedy could exceed that. Regardless, for 2008 I have a good feeling that Kennedy will be solid in the back of the Yankee rotation, and will probably end up pitching the most innings of any non-Wang/Pettitte starter.

We are still having problems with our host, which apparently tie back to the internal server errors we've been seeing at times. I'll be posting here until we get that figured out.

Sunday, March 16, 2008

Lohud.com: Abraham - Girardi likes what he sees in Traber

TAMPA, Fla. - The Yankees believe they have found a serviceable left-hander for their bullpen, as they have placed Billy Traber on the 40-man roster.

The 28-year-old has appeared in five games during spring training. He has pitched four scoreless innings, allowing three hits with five strikeouts and no walks.

A free agent signed to a minor-league contract in January, Traber appears likely to start the season in the majors.


Meet your 2008 LOOGY.

Island Packet - Girardi already putting his stamp on Yankees

It hasn't taken Joe Girardi long to show the baseball world what they can expect from him as manager of the New York Yankees.

This isn't just another Joe, as in Torre, whom he succeeded when the longtime Yankee manager told the Steinbrenners to stuff their one-year contract and headed West to the Los Angeles Dodgers.

Torre, like Atlanta's Bobby Cox, has long been considered a "player's manager." Girardi comes across more like a drill sergeant. No cheerleader, no airs, no glossing over the truth, he speaks articulately and tells it the way he thinks it is.

Girardi hit the ground running when he arrived at the Yankees spring training camp in Tampa. He immediately told his players to get used to running, too. Running, as in exercising.

Actually, Yankee players were forewarned this winter when Girardi called each individual and told them they had better be ready for a strong conditioning program. He was unhappiest with Bobby Abreu and said so publicly.

Yankee management felt that Abreu's lack of conditioning last spring contributed to a rib injury that resulted in a poor first half of the season. The outfielder promised he would "come to camp in shape and stay in shape."

Abreu has kept his word and weighs 10 pounds less than he did a year ago. "I feel I can move better," he said this week. "I feel ready to go."

Other players have said that Girardi's conditioning program has kept the Yankees free from significant injuries that plagued the team last spring and there's a perception that Torre wasn't tough enough in recent training camps.

However, Girardi has professed a great deal of respect for Torre and hopes to emulate him in the way he handled players.

"Joe Torre was great at getting the most out of people," Girardi told Mark Feindsand of the New York Daily News. "There was a calmness there every day in a world that wasn't always so calm."
It'll be interesting to see how Camp Girardi translates into the team's performance. More and more it seems like letting Joe Torre go was the right move.

Saturday, March 15, 2008

Server Problems

We're having issues with our host so I'm re-directing traffic here for now. Hopefully things will be resolved shortly.