Community Projections: A Summary
Ask and ye shall receive.
| Avg | Avg '''σ''' | OBP | OBP '''σ''' | SLG | SLG '''σ''' | PA | PA '''σ''' | |
|---|---|---|---|---|---|---|---|---|
| Blalock | .280 | 11 | .346 | 14 | .473 | 33 | ||
| Catalanotto | .301 | 12 | .369 | 17 | .442 | 21 | 435 | 50 |
| Cruz | .267 | 11 | .329 | 18 | .463 | 32 | 443 | 64 |
| Kinsler | .290 | 11 | .356 | 13 | .475 | 18 | ||
| Laird | .276 | 8 | .334 | 12 | .440 | 19 | 482 | 39 |
| Lofton | .287 | 13 | .357 | 16 | .401 | 19 | 433 | 50 |
| Sosa | .246 | 20 | .310 | 25 | .452 | 66 | 332 | 109 |
| Teixeira | .294 | 9 | .383 | 12 | .569 | 24 | ||
| Wilkerson | .250 | 14 | .343 | 24 | .431 | 36 | 418 | 102 |
| Young | .315 | 9 | .364 | 13 | .478 | 18 |
| Wins | Wins '''σ''' | Inng's | Inng's '''σ''' | ERA | ERA '''σ''' | |
|---|---|---|---|---|---|---|
| McCarthy | 13 | 2 | 173 | 16 | 4.57 | 0.32 |
| Millwood | 17 | 1 | 208 | 8 | 4.18 | 0.28 |
| Padilla | 15 | 2 | 197 | 15 | 4.35 | 0.26 |
| Tejeda | 10 | 3 | 151 | 27 | 4.84 | .50 |
Well, here's what the LSB community came up with in terms of average projections. The '''σ''' denotes standard deviation, which I don't have to explain to those of you who diddle your slide rules and see anthropomorphic EQA's and WARP3's running around on the field. For the rest of you, standard deviation represents grittiness and the ability to will a team to win. For instance, Rusty Greer's animated corpse would have a standard deviation of 1,000,000.
Just kidding, of course. Standard deviation is a measure of a spread of values. Essentially, in a normal distribution, about 70% of the data points will be within 1 standard deviation from the mean. About 95% of the data points will lie within 2 standard deviations from the mean. So, looking at the above charts, we see that someone who is an enormous question mark (which is what grammar and syntax nerds see running around on the baseball field instead of WARP3's), like Sosa, has larger standard deviations. The community, generally, thinks Sosa will hit between .226 and .266, with an OPS anywhere from .672 to .862.) Alternatively, the community essentially expects Michael Young to hit between .307 and .323, with an OPS between .811 and .873.
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bad ass
outliers
Not to single anybody out or anything...
yeah
Outliers
jtts - .331/.385/.513
Parman - .345/.390/.502
JBI - .330/.400/.510
by LoneStarBallUser on Apr 12, 2007 9:38 PM CDT up reply actions
mine is his 2005 season
:) - Obligatory smiley showing I don't mean whatever mean
spiritedness is likely contained in the preceding post
Crazy high
Come to think of it though, that season was "crazy high" compared to the rest of his career.
by LoneStarBallUser on Apr 13, 2007 6:24 AM CDT up reply actions
My numbers
Wow, Laird is off to a far worse start than Sosa
.174/.286/.217
That guy should have been traded to Milwaukee for pitching ages ago.
alternatives
Derek
by DerekSTheRed on Apr 13, 2007 7:43 AM CDT up reply actions
slide rules?
Thanks Ben
by Brett Perryman on Apr 13, 2007 12:52 AM CDT reply actions
If you have it all in a SS
also
I might do that later if ben is too busy
by Dustin on Apr 13, 2007 5:55 PM CDT up reply actions
Well
I'll work on it, though.
by Dustin on Apr 13, 2007 6:22 PM CDT up reply actions
Okay, okay, okay
http://docs.google.com/Doc?id=djfk6rb_0d7rdn9
I don't have a lot of experience with Google Docs and don't know how to keep people from changing it up. I don't think they can without being a "collaborator", though.
If you want to be a collaborator in order to add formulas and such (NOT screw with the data), just look in my profile and there's an e-mail addy in there.
by Dustin on Apr 13, 2007 6:33 PM CDT up reply actions
Tally-ho, Dustin!
No offense to ben
by Dustin on Apr 13, 2007 7:25 PM CDT up reply actions
By the way
by Dustin on Apr 13, 2007 7:26 PM CDT up reply actions
Damn right I am
by Dustin on Apr 13, 2007 8:54 PM CDT up reply actions

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