The Pastime

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  • The Grand Unified Projection: Batters

    There are a few major projection systems out there that all claim to be the best. They all present plausible theories and evidence that they’re more accurate than the others. PECOTA seems to have risen to the top, but it’s still just one system.

    I decided to stop trying to figure out which one to use, and just use four of them at once.

    After importing all of the data into a spreadsheet, I unified it to produce one projection for a player. I figure it’s better to have four experts reach a compromised consensus on how something will turn out, than to rely on just one or another. We’ll see how it turns out at the end of October.

    I used PECOTA, ZiPS, CHONE and the Bill James projections. The number of resources available is listed under the “# systems” column, and is reflected in the shade of the hitter’s line. The darker the line, the more sources it’s derived from.

    You might notice that all the players listed are A’s. Sorry to fans of other teams out there, this was kind of a time-consuming project, I’m not going to go through every team. I might add a few teams, or highlight select players in the future.


    Overall Overall Overall Overall Overall Overall Overall Overall # systems
    Name AB 2B HR BB K BA OBP SLG
    Baisley,Jeffrey 497 26 13 38 91 .233 .291 .371 1
    Baker,John 428 26 9 37 109 .243 .305 .376 1
    Barton,Daric 322 20 7 47 53 .265 .360 .402 4
    Bocachica,Hiram 298 15 12 30 65 .264 .338 .446 4
    Bradley,Milton 410 21 15 52 82 .272 .358 .441 4
    Brown,Jeremy 326 16 9 29 72 .227 .296 .362 3
    Buck,Travis 356 30 8 30 64 .275 .333 .434 3
    Chavez,Eric 525 29 24 75 106 .262 .356 .463 4
    Colamarino,Brant 477 30 15 38 102 .247 .306 .421 1
    Crosby,Bobby 408 23 13 44 83 .252 .328 .411 4
    Durazo,Erubiel 341 20 10 43 69 .279 .363 .425 1
    Ellis,Mark 456 26 11 45 69 .270 .342 .411 4
    Furmaniak,J.J. 420 18 8 26 91 .238 .287 .352 1
    Goleski,Ryan 465 24 16 38 128 .231 .295 .393 3
    Herrera,Javier 361 17 11 26 105 .245 .301 .390 2
    Johnson,Dan 450 27 17 62 69 .268 .357 .447 4
    Kendall,Jason 502 24 2 47 43 .284 .359 .346 4
    Kielty,Bobby 284 16 8 34 55 .255 .337 .408 4
    Kotsay,Mark 517 30 10 46 58 .281 .341 .408 4
    Melhuse,Adam 151 8 5 12 37 .238 .296 .397 4
    Melillo,Kevin 484 28 10 44 96 .246 .312 .378 3
    Merloni,Lou 285 19 4 24 51 .249 .321 .358 1
    Mitchell,Jermaine 541 30 8 45 115 .284 .341 .402 1
    Murphy,Donnie 353 22 9 17 66 .218 .260 .363 1
    Perez,Antonio 224 11 5 21 56 .243 .313 .381 4
    Perry,Jason 395 20 12 33 100 .256 .319 .408 1
    Piazza,Mike 294 16 15 33 55 .265 .336 .453 4
    Powell, Landon 316 11 7 23 77 .219 .276 .328 2
    Robnett,Richie 414 19 11 35 122 .222 .285 .357 1
    Scutaro,Marco 396 23 7 39 59 .259 .326 .384 4
    Sellers,Justin 402 20 4 30 62 .230 .291 .314 2
    Sulentic,Matthew 236 13 3 16 46 .264 .312 .375 1
    Suzuki,Kurt 406 24 7 43 60 .246 .325 .364 3
    Swisher,Nick 535 29 30 85 131 .253 .362 .483 4
    Thomas,Charles 362 15 7 33 71 .254 .326 .370 1

    If you’d like to see the data I’m working with on a spreadsheet, leave a comment or send me an email. I’d be happy to share my work. I might post it on Google docs if there’s some interest in that. I don’t want to share it too freely, though, since it includes BP’s newly released PECOTA data, which they’d really prefer people pay to access.

    Also, pitcher projections will come later today or tomorrow…

    One Response to “The Grand Unified Projection: Batters”

    1. swizstick Says:

      Dude, invaluable service, this is very cool. I linked to it at my blog as well.
      http://conditionoakland.blogspot.com/2007/01/pastime-2007-offensive-projections.html

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