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Transaction Oracle— A Timely Look at Transactions as They Happen
Wednesday, January 11, 2006
2006 ZiPS Projections - Washington Nationals
This is the last team! The first build of the projection disk for DMB 9.0 and the projection spreadsheet will be available by the end of the weekendish.
Name P AVG OBP SPC G AB R H 2B 3B HR RBI BB K SB CS
Johnson* 1b .283 .402 .475 121 413 60 117 30 2 15 65 75 82 3 6
Vidro# 2b .293 .368 .443 110 406 51 119 26 1 11 53 48 43 1 1
Church* lf .282 .352 .459 112 344 51 97 19 3 12 52 34 78 2 1
Guillen lf .284 .341 .476 145 538 75 153 30 2 23 84 31 101 2 2
Zimmerman 3b .309 .343 .481 87 291 42 90 29 0 7 39 14 46 1 4
Short 3b .294 .350 .437 113 364 51 107 26 1 8 49 28 36 2 2
Byrd cf .264 .325 .394 116 416 57 110 26 2 8 48 35 78 8 2
Soriano 2b .248 .295 .439 153 640 85 159 35 3 27 79 35 130 24 4
Schneider* c .259 .325 .389 119 378 34 98 20 1 9 45 34 61 1 1
Gonzalez c .260 .316 .378 59 196 23 51 12 1 3 22 15 18 0 0
Jackson 2b .253 .334 .357 120 300 48 76 14 1 5 30 35 59 13 5
Broadway* 1b .230 .307 .392 106 357 47 82 17 1 13 44 38 84 2 1
Escobar cf .248 .297 .407 116 427 53 106 19 2 15 57 27 133 4 3
Castro# 2b .286 .331 .341 127 475 65 136 17 3 1 35 34 49 28 11
Casto* 3b .231 .305 .380 131 455 62 105 31 2 11 56 44 92 3 2
Baerga# 2b .258 .320 .340 91 159 17 41 7 0 2 17 9 18 0 0
Kuzmic# 3b .215 .316 .350 96 297 34 64 12 2 8 35 41 95 2 2
Harris 3b .238 .295 .377 129 446 59 106 23 3 11 56 33 70 4 3
Carroll 3b .260 .335 .311 112 312 42 81 11 1 1 25 33 50 3 4
Anderson* 2b .237 .296 .349 132 367 36 87 18 1 7 37 30 52 7 3
Watson* cf .277 .319 .328 145 527 77 146 15 3 2 40 30 60 25 15
Brown* rf .225 .282 .363 113 400 37 90 20 1 11 43 30 93 3 3
DiFelice c .213 .287 .346 82 263 21 56 14 0 7 31 24 58 1 1
Guerrero cf .230 .278 .366 114 361 43 83 12 2 11 43 21 105 9 6
Belcher* lf .230 .280 .337 90 282 27 65 15 0 5 27 16 45 4 2
Diaz cf .236 .268 .370 128 470 56 111 30 3 9 51 15 71 10 7
Godwin* cf .238 .297 .336 132 479 65 114 18 4 7 39 37 88 24 16
Labandeira ss .232 .297 .317 110 388 44 90 19 1 4 32 32 72 6 5
Blanco rf .208 .272 .339 60 168 16 35 7 0 5 19 8 41 1 0
Guzman# ss .241 .279 .338 145 518 55 125 23 6 5 47 28 74 9 6
Wilson c .215 .269 .296 95 274 26 59 13 0 3 22 16 29 2 2
Bowers ss .210 .272 .284 117 348 31 73 13 2 3 29 25 58 5 3
Dorta 2b .218 .272 .296 110 358 40 78 13 0 5 31 25 43 14 9
Mateo# 2b .208 .274 .282 68 202 24 42 8 2 1 14 16 45 8 5
Name W L ERA G GS INN H ER HR BB K
Cordero 4 3 3.08 72 0 76.0 60 26 7 27 75
Eischen* 3 2 3.12 61 0 52.0 45 18 3 16 46
Ayala 10 6 3.16 72 0 77.0 74 27 6 15 52
Patterson 7 7 3.72 27 27 162.0 142 67 15 59 155
Majewski 5 4 3.87 68 1 79.0 73 34 3 36 58
Tucker 3 2 3.88 44 3 65.0 65 28 5 17 44
Hernandez 13 12 3.96 35 35 243.0 235 107 22 81 172
Hill 8 9 4.24 23 23 119.0 122 56 9 42 58
Rueckel 6 8 4.24 52 0 87.0 88 41 8 26 62
Drese 9 11 4.38 27 27 156.0 167 76 9 53 75
Lawrence 11 14 4.39 33 33 201.0 201 98 22 56 122
Rasner 6 8 4.42 30 27 165.0 181 81 15 37 85
Bergmann 4 5 4.70 56 1 92.0 86 48 12 39 83
Rauch 5 7 4.73 25 17 99.0 99 52 14 33 79
Hughes 4 6 4.73 61 0 78.0 72 41 8 44 73
Beltran 2 3 4.75 48 1 53.0 50 28 6 30 48
Ortiz 7 13 4.94 31 27 164.0 177 90 23 55 95
Corcoran 3 4 5.12 44 1 58.0 59 33 5 32 39
Powell 6 10 5.14 29 22 147.0 171 84 19 38 66
Hinckley* 3 7 5.24 20 20 134.0 149 78 15 53 67
Armas 4 8 5.28 18 18 104.0 104 61 15 57 74
Yarnall* 5 7 5.61 22 18 93.0 98 58 15 46 72
Horgan* 2 6 5.79 59 1 70.0 76 45 11 33 49
Karp 3 8 5.89 27 18 110.0 119 72 19 57 75
Echols 4 10 6.06 27 15 107.0 117 72 23 45 86
Bridges 3 9 6.30 22 16 100.0 106 70 13 71 65
Smith 1 3 7.09 27 0 33.0 40 26 9 18 20
Disclaimer: ZiPS projections are computer-based projections of performance.
Performances have not been allocated to predicted playing time in the majors -
many of the players listed above are unlikely to play in the majors at all in 2006.
ZiPS is projecting equivalent production - a .240 ZiPS projection may end up
being .280 in AAA or .300 in AA, for example. Whether or not a player will play
is one of many non-statistical factors one has to take into account when predicting
the future.
Dan Szymborski
Posted: January 11, 2006 at 05:31 PM | 43 comment(s)
Related News: Washington, ZIPS
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.306/.350/.567 in 2003
.319/.352/.582 in 2002.
Adjust his total stat line by the appropriate park factors and leave it be. Don't try to read any more into his actual home/road splits.
.306/.350/.567 in 2003
.319/.352/.582 in 2002.
Of course, he could've just been a better player then. When I've seen him the last few years, it certainly looks like pitchers are letting him chase crap more often than they used to now that it's clear they won't get punished.
More proof that my system is somewhat flawed, I'd wager.
6 guys with OBP over .340 gets you a lot of runs...
Yeah, those offensive projections look pretty good given the park. The "league average" OPS there last year was just 743 (don't know what ZIPS used). Don't know how the playing time will be divvied up, but it's a line up with 4-5 above-average hitters, a couple average guys, and Guzman.
So much for Brendan Harris, the next Albert Pujols.
But he's not that far off from the current Soriano. :-)
Then how would you explain the wide splits for almost all the Texas hitters? ARod had wide splits too when he played for Texas. I think using home/road splits to prove a point is just looking for an excuse to make an argument you want to make. I'm not saying this specifically to you Dan, but to everyone here that does it. I don't think it's made any difference though, although I say it every chance I get.
I think your problems basically fall into a few areas:
1. It doesn't seem like you adjust projections at all for the unbalanced schedule - not sure if this makes a big difference, but in a division with NYM, ATL, and Philadelphia (I don't really think much of them, but all the projections have them high) I would think it'd matter quite a bit
2. You seem to to make rather drastic changes in ZIPs for a few guys. I think that if you don't like someone's ZIPS ERA of 4.1 and think it will be 4.6, you out to not move it more than half the difference
3. I haven't thorougly looked into all your projections, but I think you think replacement level pitchers are too good - especially on teams that have shown they have trouble finding replacement level pitching
760 runs isn't happening here.
I don't think he'll put up the same road numbers he did as a Yankee, but looking at last year's stats probably isn't fair. His three year splits are probably a more reasonable approximation: .260/ .303/ .465. Not great, but not as bad as the one year split looks either.
I don't think he'll have as hard a time at RFK as some assume. He has decent power to the opposite field, but most of his homers are pulled. You can pull the ball at RFK, it's just that the power alleys are so deep, if you go the other way, it's going to be an out -- you can ask Jose Guillen all about that.
So that means most starting pitchers only get the 150 to 175 IP that ZIPS projects.
If you do that, at the team level, then by in large the someone tanking is taken care of as the amount of error it introduces over a team is small. I.e., there is more confidence in EV(team) than in the individual EV(players). Of course if you have a player that is as important as a Bonds, Santana, Halladay, etc. who is injured or doesn't play then you are in trouble. But by and large the unexpected poor performances are balenced by the unexpected good performances when you look across a team.
Looking over the various teams, I've given the large majority of starting pitchers about 180 innings, but that may be a few too many. I let Zito have his 222, for example, I let Livan Hernandez have his 248, I let Buehrle have his 236. Of course, giving the White Sox's rotation fewer innings would lower their already-low projection even more. And, I'm reluctant to project more runs given up, because the runs-allowed totals already seem fairly high, and they correspond to the adjusted runs-scored totals as they are. The one thing I could do that might make a small difference would be to assign generic numbers of IP to relievers. Most full-season big-league relievers are projected by ZIPS to pitch 70-80 innings, which is in a lot of cases 10-15 too high. I did lessen some of them, but by no means all, which means 20-50 too few replacement-level innings for most teams. That can result in 8-10 fewer runs allowed, but that's only one win. I could try to get an "average garbage innings per team" figure, and reserve that many of each team's innings-pitched for replacement pitchers.
"Zimmerman is a BEAST!!"
I am just hoping that he qualifies for SS.
After losing 2/5's of their pitching, including their only lefthander who has led the team in ERA 6 of the last 7 years and their All Star/Golden Glove catcher, it seems Angel fans should be happy with a projection over .500
OTOH, they probably aren't done this off-season and if their youngsters actually play, their upside could be big.
Team R H 2B hrbbso
Texas 1.16 1.08 1.1 1.2 0.98 0.98
Washington0.88 0.88 0.92 0.76 0.98 1.06
the last two years Soriano has hit :
2004: .280-28-91 (324/484)
2005: .268-36-104 (309/512)
in a "neutral" park that was equivalent to:
2004: .270-26-85 (315/460)
2005: .259-33-97 (301/485)
in Washington that's equivalent to:
2004: .255-23-80 (301/430)
2005: .245-29-92 (287/452)
The difference between Texas and Washington is similar to the difference between Colorado and a more normal park.
Vinny Castilla went from : .271/.332/.535 in Colo to: .253/.319/.403
in Wash.
Guillen went from .294/.352/.497 in Anaheim (a pitcher's park) to .283/.338/.479 in Wash
I really think there is a very good chance that Sori loses 10-20 points in average and OBP and 40-60 in slugging. The new owners (whoever they may turn out to be) better pray Bowden doesn't sign him to an extension...
The "road park disadvantage" doesn't really go away in the NL East. Seattle (99 hitters PF for 2005 according to baseball reference), Oakland (103) and Anaheim (96) aren't good parks for hitters; Atlanta (104), Philadelphia (108), Florida (94) and New York (99) aren't a whole lot better. If you prefer Dan's 3-year weighted park factors (I'll use the R PF here for a quick overall view): Anaheim (0.94), Oakland (1.00), Seattle (0.90) vs Atlanta (1.04), Florida (0.84), NY (0.98) and Philadelphia (1.10).
Washington as a home park is especially unsuited to Soriano - Soriano's value is in hits and HRs, and RFK deflates both of those (0.88 and 0.76 respectively), while Texas inflates both (1.10 and 1.20 respectively). I think Soriano will marginally outperform the projection above if he stays in Washington (along the lines of ~.260/.300/.450), but he'll be close to the projected numbers.
But I also wonder where you differ from ZIPS because I saw with another that you claimed to "regress" some of the pitchers ERA up (I think it, for example, Towers with Toronto). So unless by regress you mean calculate an estimated RA from the ERA and "some of the pitchers" meant "all of the pitchers" I think your numbers will be wrong. A rough estimate could be made by figuring out what % of R are unearned and adjusting all of the ERA's that way (or adjusting the teams RA that way at the end).
My point in bringing up the road park disadvantage anyway, was to point out that his road numbers (especially when you stick to just a two-year sample) probably don't reflect a neutral performance for him. You would have to adjust his road numbers up, just as you'd have to adjust his home numbers down.
Wait - people in these parts do account for the imbalanced schedule in building park factors, right?
Wilkerson 554 AB .280/.387/.504 24 HR 9 SB
Kinsler 476 AB .248/.310/.431 19 HR 7 SB
Jim Bowden: Great GM or Greatest GM?
Nope, usually not. Usually park factors are calculated as a straight ratio of performance at home games to performance in road games (performance by both teams, of course). In the days when park factors were developed (70s/80s), the schedule was for the most part balanced, so the assumption that the variations on the road would average out in the end was a reasonable assumption - not 100% accurate, but close enough. With the unbalanced schedule now and the introduction of an extreme park or two (Colorado, maybe texas, maybe San Diego), that assumption isn't really all that valid anymore. I've done some preliminary work looking into how park factors change if you take into account the unbalanced schedule and the different run environments in road games, and if you do that the park factors for most teams are the same or within 1 point, but there are a couple of teams that see more significant shifts (IIRC, Colorado's road environment is substantially pitcher-friendly, which if not corrected for overstates the impact of playing at elevation, making Colorado's park look much more hitter-friendly than it probably is. If Colorado's park factor is calculated at 113 but the road environment averages out to ~97, correcting for the road environment brings the "real" park factor for Colorado down to 109-110, for instance)
White Sox
Wilkerson 554 AB .280/.387/.504 24 HR 9 SB
Kinsler 476 AB .248/.310/.431 19 HR 7 SB
Jim Bowden: Great GM or Greatest GM?
Heh
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