2013 ZiPS Projections – Toronto Blue Jays

Dan Szymborski’s ZiPS projections, which have typically appeared in the pages of Baseball Think Factory, will be released at FanGraphs this year. Below are the projections for the maybe-AL-East-favorite Toronto Blue Jays. Szymborski can be found on Twitter at @DSzymborski.

Other 2013 Projections: Angels / Astros / Athletics / Cubs / Giants / Nationals / Phillies / Rangers.

Batters
In 2012, Jose Bautista and Brett Lawrie combined for just 217 total games played and 935 plate appearances, posting a 3.2 and 2.9 WAR, respectively. Were each to have produced at similar rates over 650 plate appearances instead (which probably isn’t a responsible thing to assume, actually, but that’s what’s happening right now), that would have been worth about another two or three wins to the Blue Jays — and likely even more, on account of how the Jays’ main replacements at right field (Moises Sierra) and third base (Adeiny Hechavarria) were worth less than replacement level. For 2013, even with just ca. 1,100 plate appearances projected between them, Bautista and Lawrie are expected to combine for about 9.0 WAR — or, roughly what they’d have produced together in a full season in 2012.

Elsewhere, early indications are that the Blue Jays will wait until spring training to name a starting second baseman. ZiPS suggests that maybe Maicer Izturis and not Emilio Bonifacio would be the right choice, although it’s not the proverbial “slam dunk.”

Pitchers
Brandon Morrow‘s 2.4 WAR in 2012 was the team’s highest mark for a pitcher (by a factor of two, in fact). That same figure in 2013 would merit consideration merely for the fifth starter role, according to ZiPS, which projects offseason acquisitions R.A. Dickey, Josh Johnson, and Mark Buehrle to combine for something like 10 wins.

The bullpen features (deservedly, given his recent track record) an enthusiastic projection (60.1 IP, 79 ERA-, 1.2 WAR) for Casey Janssen — which is notable insofar as anyone who followed baseball in 2006 will remember Janssen as a soft-tossing starter. By way of illustrating his improvement, here’s a poorly designed graph of Janssen’s swinging-strike rates from 2006 to ’12:

Janssen Graphhhh

Bench/Prospects
The aggressive nature of Toronto’s offseason necessarily means that their system is less impressive than it would have been otherwise, now lacking Travis D’Arnaud, Jake Marisnick, and Noah Syndergaard, among others. The very athletic Anthony Gose, despite a 2012 that saw him post a 73 wRC+, is viewed as something not unlike major-league average by ZiPS. And, at catcher, A.J. Jimenez is forecast roughly on par with J.P. Arencibia and newly acquired Josh Thole.

Depth Chart
Here’s a rough depth chart for the Blue Jays, with rounded projected WAR totals for each player (click to embiggen):

Blue Jays Depth

Ballpark graphic courtesy Eephus League. Credit to MLB Depth Charts for roster information.

Batters, Counting Stats

Player B Age PO PA R H 2B 3B HR RBI SB CS
Jose Bautista R 32 RF 497 74 108 21 2 31 80 7 2
Jose Reyes B 30 SS 613 83 164 32 10 12 55 34 9
Brett Lawrie R 23 3B 573 77 144 28 6 19 66 15 6
Edwin Encarnacion R 30 DH 529 71 126 24 0 28 80 8 2
Melky Cabrera B 28 LF 641 91 174 35 6 16 77 15 6
Kelly Johnson L 31 2B 578 67 120 23 4 20 60 12 4
Colby Rasmus L 26 CF 588 82 128 26 4 23 73 6 3
J.P. Arencibia R 27 C 464 52 100 23 2 23 72 1 0
Anthony Gose L 22 CF 662 78 141 23 8 11 54 47 14
Adam Lind L 29 1B 556 55 134 26 2 22 79 1 0
Josh Thole L 26 C 426 37 100 21 1 4 36 1 1
Maicer Izturis B 32 2B 365 42 89 20 1 4 33 11 4
A.J. Jimenez R 23 C 292 26 70 13 1 4 27 6 3
Rajai Davis R 32 LF 461 57 111 24 4 5 42 38 12
Luis Jimenez L 31 1B 532 65 122 27 1 14 63 2 0
Ryan Langerhans L 33 LF 370 40 67 14 2 10 33 5 5
Emilio Bonifacio B 28 CF 442 53 101 13 5 2 23 29 6
Jack Cust L 34 RF 429 49 77 15 1 15 50 2 0
David Cooper L 26 1B 572 59 134 35 1 13 65 0 1
Mike Nickeas R 30 C 241 22 50 10 0 3 26 0 1
Mike McCoy R 32 2B 414 45 80 14 1 3 27 19 7
Luke Hughes R 28 2B 313 32 62 14 2 7 29 4 2
Ryan Goins L 25 SS 546 46 120 25 3 4 46 7 6
Moises Sierra R 24 RF 494 53 110 15 2 15 59 7 8
Paul Phillips R 36 C 172 13 38 5 0 1 11 0 1
Omar Vizquel B 46 2B 157 14 37 6 1 0 7 2 2
Jim Negrych L 28 2B 420 48 92 16 2 5 39 5 5
Vladimir Guerrero R 38 LF 246 26 67 12 1 7 29 1 1
Eugenio Velez B 31 RF 436 44 94 20 3 6 41 19 9
Chris Woodward R 37 3B 383 33 80 19 1 4 31 3 2
Lance Zawadzki B 28 2B 355 35 70 12 3 6 30 8 2
Kevin Howard L 32 1B 342 30 77 12 1 6 31 4 3

***

Batters, Rates and Averages

Player PA BB% K% ISO BABIP BA OBP SLG wOBA
Jose Bautista 497 16.3% 18.1% .291 .266 .266 .391 .557 .395
Jose Reyes 613 7.3% 8.5% .157 .304 .293 .343 .450 .339
Brett Lawrie 573 6.5% 16.6% .186 .304 .275 .332 .461 .343
Edwin Encarnacion 529 10.6% 15.3% .235 .275 .273 .357 .508 .366
Melky Cabrera 641 6.4% 13.6% .161 .320 .294 .339 .455 .337
Kelly Johnson 578 10.6% 26.0% .179 .294 .236 .322 .415 .321
Colby Rasmus 588 8.7% 25.3% .196 .292 .242 .311 .438 .317
J.P. Arencibia 464 6.0% 27.6% .224 .273 .233 .282 .457 .316
Anthony Gose 662 8.0% 26.6% .121 .318 .237 .307 .358 .298
Adam Lind 556 7.0% 19.8% .188 .292 .263 .315 .451 .327
Josh Thole 426 8.2% 13.1% .091 .294 .261 .325 .352 .292
Maicer Izturis 365 7.4% 12.1% .103 .299 .270 .331 .373 .310
A.J. Jimenez 292 4.5% 17.5% .100 .303 .258 .295 .358 .283
Rajai Davis 461 5.0% 18.0% .109 .308 .259 .302 .368 .298
Luis Jimenez 532 8.6% 21.2% .146 .302 .252 .318 .398 .313
Ryan Langerhans 370 11.6% 31.4% .149 .288 .208 .302 .357 .287
Emilio Bonifacio 442 7.7% 20.4% .073 .320 .254 .312 .327 .287
Jack Cust 429 14.0% 33.1% .171 .298 .212 .329 .383 .315
David Cooper 572 7.7% 15.0% .146 .283 .257 .315 .403 .309
Mike Nickeas 241 7.1% 19.5% .088 .276 .229 .289 .317 .264
Mike McCoy 414 10.9% 17.4% .070 .269 .223 .310 .293 .273
Luke Hughes 313 7.0% 27.5% .138 .284 .218 .279 .356 .278
Ryan Goins 546 5.5% 20.1% .085 .296 .239 .280 .324 .259
Moises Sierra 494 5.9% 23.5% .140 .290 .241 .294 .381 .291
Paul Phillips 172 5.2% 12.8% .050 .268 .238 .281 .288 .247
Omar Vizquel 157 3.8% 10.2% .054 .278 .252 .277 .306 .251
Jim Negrych 420 8.1% 17.1% .093 .287 .244 .306 .337 .279
Vladimir Guerrero 246 2.0% 9.3% .148 .288 .284 .305 .432 .314
Eugenio Velez 436 6.0% 22.0% .109 .292 .234 .285 .343 .274
Chris Woodward 383 4.4% 20.9% .093 .274 .223 .262 .316 .253
Lance Zawadzki 355 5.4% 26.5% .108 .275 .210 .255 .318 .252
Kevin Howard 342 5.0% 17.0% .099 .273 .238 .276 .337 .264

***

Batters, Assorted Other

Player PA RC/27 OPS+ Def WAR No.1 Comp
Jose Bautista 497 8.1 153 -1 4.6 Ralph Kiner
Jose Reyes 613 6.2 113 -3 4.3 Rafael Furcal
Brett Lawrie 573 5.8 112 9 4.3 Adrian Beltre
Edwin Encarnacion 529 6.8 131 0 3.3 Richie Zisk
Melky Cabrera 641 6.0 113 -3 2.5 Shannon Stewart
Kelly Johnson 578 4.8 98 -1 2.4 Jed Hansen
Colby Rasmus 588 4.8 100 -1 2.2 Ernie Young
J.P. Arencibia 464 4.6 96 -2 2.0 John Buck
Anthony Gose 662 4.2 80 4 2.0 Herm Winningham
Adam Lind 556 5.2 105 -1 1.4 Larry Sheets
Josh Thole 426 4.2 84 -3 1.1 Bruce Benedict
Maicer Izturis 365 4.7 91 -1 1.1 Wally Backman
A.J. Jimenez 292 3.9 76 3 1.1 Kirt Manwaring
Rajai Davis 461 4.4 81 2 0.7 Gil Coan
Luis Jimenez 532 4.6 93 -2 0.6 Lyle Overbay
Ryan Langerhans 370 3.5 78 7 0.6 Brad Wilkerson
Emilio Bonifacio 442 4.2 74 -4 0.5 Alex Cole
Jack Cust 429 4.4 92 -4 0.4 Adam Hyzdu
David Cooper 572 4.6 93 -4 0.3 Rod Brewer
Mike Nickeas 241 3.1 64 0 0.3 Chris Tremie
Mike McCoy 414 3.3 65 -1 0.1 Julio Cruz
Luke Hughes 313 3.4 71 -3 0.0 Seth Bynum
Ryan Goins 546 3.1 63 -3 0.0 Felix Molina
Moises Sierra 494 3.8 81 1 -0.1 Angel Echevarria
Paul Phillips 172 2.7 55 -2 -0.2 Raul Chavez
Omar Vizquel 157 2.9 58 -1 -0.2 Rey Sanchez
Jim Negrych 420 3.5 74 -6 -0.3 Josh Labandeira
Vladimir Guerrero 246 4.9 97 -9 -0.4 Rich Aurilia
Eugenio Velez 436 3.5 70 -1 -0.5 Doug Clark
Chris Woodward 383 2.9 56 -2 -0.5 Jeff Branson
Lance Zawadzki 355 2.9 54 -4 -0.6 Kevin Davis
Kevin Howard 342 3.2 65 0 -0.7 Kevin Jordan

***

Pitchers, Counting Stats

Player T Age G GS IP SO BB HR H R ER
R.A. Dickey R 38 30 29 194.3 148 47 25 193 90 84
Josh Johnson R 29 24 24 149.0 123 45 14 143 65 61
Brandon Morrow R 28 28 28 154.0 157 59 17 142 73 68
Ricky Romero L 28 30 30 187.3 143 84 21 183 98 92
Mark Buehrle L 34 26 26 168.3 91 34 23 186 88 82
Brett Cecil L 26 32 26 158.3 112 51 23 171 92 86
Casey Janssen R 31 58 0 60.3 61 15 6 54 24 22
Buzz Oliver L 42 52 0 44.7 39 13 4 42 18 17
Drew Hutchison R 22 20 20 102.3 81 34 16 110 60 56
Esmil Rogers R 27 67 0 80.0 79 31 9 79 41 38
J.A. Happ L 30 25 23 130.7 109 58 20 137 80 75
Steve Delabar R 29 60 0 63.3 84 25 12 53 31 29
Sergio Santos R 29 35 0 34.0 41 14 3 29 14 13
Aaron Loup L 25 72 0 75.3 52 18 7 81 39 36
Brandon Lyon R 33 53 0 49.7 41 17 5 49 25 23
Luis Perez L 28 35 0 42.3 39 16 4 40 20 19
Dustin McGowan R 31 13 13 74.0 56 32 10 80 45 42
Brad Lincoln R 28 39 17 117.3 88 31 21 133 74 69
Sam Dyson R 25 40 6 71.3 29 24 7 84 43 40
Rich Thompson R 28 42 0 51.7 43 24 7 52 29 27
Justin Germano R 30 29 15 108.3 65 27 19 125 70 65
Chad Beck R 28 58 0 59.7 28 21 6 68 34 32
Buddy Carlyle R 35 30 1 55.7 38 20 8 62 33 31
Ronald Uviedo R 26 48 0 66.0 52 29 9 71 40 37
Jeremy Jeffress R 25 49 0 54.7 45 35 6 57 33 31
Kyle Drabek R 25 22 21 114.0 72 68 17 127 77 72
Juan Perez L 34 43 0 39.0 38 25 6 40 25 23
Claudio Vargas R 35 18 9 56.0 33 23 9 67 39 36
Evan Crawford L 26 43 0 45.3 31 22 6 51 29 27
Bobby Korecky R 33 42 0 62.3 33 23 10 71 40 37
Jamie Moyer L 50 12 11 65.0 36 19 14 81 48 45
Alex Hinshaw L 30 46 0 44.7 42 35 7 47 32 30
Chad Jenkins R 25 23 23 123.0 56 40 23 163 93 87
Chorye Spoone R 27 33 11 83.3 41 66 11 105 67 63
Scott Richmond R 33 21 20 98.7 58 45 23 123 80 75
Ramon Ortiz R 40 26 20 116.3 57 40 25 149 92 86
Greg Smith L 29 22 21 113.3 55 51 26 146 94 88

***

Pitchers, Rates and Averages

Player IP TBF K% BB% BABIP ERA FIP ERA- FIP-
R.A. Dickey 194.3 823 18.0% 5.7% .282 3.89 4.06 94 98
Josh Johnson 149.0 635 19.4% 7.1% .287 3.68 3.55 89 86
Brandon Morrow 154.0 663 23.7% 8.9% .296 3.97 3.78 96 91
Ricky Romero 187.3 829 17.3% 10.1% .284 4.42 4.50 107 109
Mark Buehrle 168.3 725 12.6% 4.7% .284 4.38 4.40 106 106
Brett Cecil 158.3 697 16.1% 7.3% .293 4.89 4.63 118 112
Casey Janssen 60.3 250 24.4% 6.0% .291 3.28 3.21 79 78
Buzz Oliver 44.7 189 20.6% 6.9% .290 3.43 3.52 83 85
Drew Hutchison 102.3 451 18.0% 7.5% .300 4.93 4.75 119 115
Esmil Rogers 80.0 350 22.6% 8.9% .310 4.28 3.86 104 93
J.A. Happ 130.7 587 18.6% 9.9% .295 5.17 4.79 125 116
Steve Delabar 63.3 268 31.4% 9.3% .291 4.12 4.37 100 106
Sergio Santos 34.0 145 28.3% 9.7% .306 3.44 3.07 83 74
Aaron Loup 75.3 325 16.0% 5.5% .301 4.30 3.68 104 89
Brandon Lyon 49.7 215 19.1% 7.9% .293 4.17 3.72 101 90
Luis Perez 42.3 183 21.3% 8.7% .298 4.04 3.83 98 93
Dustin McGowan 74.0 334 16.8% 9.6% .302 5.11 4.80 124 116
Brad Lincoln 117.3 516 17.1% 6.0% .302 5.29 4.79 128 116
Sam Dyson 71.3 322 9.0% 7.5% .299 5.05 4.74 122 115
Rich Thompson 51.7 231 18.6% 10.4% .290 4.70 4.64 114 112
Justin Germano 108.3 477 13.6% 5.7% .297 5.40 5.14 131 125
Chad Beck 59.7 268 10.4% 7.8% .295 4.83 4.62 117 112
Buddy Carlyle 55.7 249 15.3% 8.0% .300 5.01 4.78 121 116
Ronald Uviedo 66.0 298 17.4% 9.7% .302 5.05 4.75 122 115
Jeremy Jeffress 54.7 256 17.6% 13.7% .305 5.10 4.85 123 117
Kyle Drabek 114.0 537 13.4% 12.7% .293 5.68 5.64 138 137
Juan Perez 39.0 182 20.9% 13.7% .309 5.31 5.22 129 126
Claudio Vargas 56.0 258 12.8% 8.9% .307 5.79 5.40 140 131
Evan Crawford 45.3 209 14.8% 10.5% .306 5.36 5.04 130 122
Bobby Korecky 62.3 281 11.7% 8.2% .289 5.34 5.42 129 131
Jamie Moyer 65.0 295 12.2% 6.4% .300 6.23 5.76 151 139
Alex Hinshaw 44.7 216 19.4% 16.2% .310 6.04 5.67 146 137
Chad Jenkins 123.0 572 9.8% 7.0% .315 6.37 5.76 154 139
Chorye Spoone 83.3 421 9.7% 15.7% .316 6.80 6.35 165 154
Scott Richmond 98.7 464 12.5% 9.7% .301 6.84 6.50 166 157
Ramon Ortiz 116.3 538 10.6% 7.4% .303 6.65 6.10 161 148
Greg Smith 113.3 537 10.2% 9.5% .302 6.99 6.62 169 160

***

Pitchers, Assorted Other

Player IP K/9 BB/9 HR/9 ERA+ WAR No. 1 Comp
R.A. Dickey 194.3 6.86 2.18 1.16 110 4.0 Woody Williams
Josh Johnson 149.0 7.43 2.72 0.85 116 3.4 Jason Schmidt
Brandon Morrow 154.0 9.18 3.45 0.99 107 3.0 Tim Belcher
Ricky Romero 187.3 6.87 4.04 1.01 96 2.6 Fernando Valenzuela
Mark Buehrle 168.3 4.87 1.82 1.23 97 2.5 Jim Kaat
Brett Cecil 158.3 6.37 2.90 1.31 87 1.3 Jason Jacome
Casey Janssen 60.3 9.10 2.24 0.90 130 1.2 Rafael Betancourt
Buzz Oliver 44.7 7.85 2.62 0.81 124 0.8 John Franco
Drew Hutchison 102.3 7.13 2.99 1.41 86 0.8 Chad Durbin
Esmil Rogers 80.0 8.89 3.49 1.01 100 0.7 Bert Roberge
J.A. Happ 130.7 7.51 3.99 1.38 82 0.6 Casey Fossum
Steve Delabar 63.3 11.94 3.55 1.71 103 0.6 Jorge Julio
Sergio Santos 34.0 10.85 3.71 0.79 124 0.6 Ryne Duren
Aaron Loup 75.3 6.22 2.15 0.84 99 0.6 Mark Peterson
Brandon Lyon 49.7 7.42 3.08 0.91 102 0.5 Bryan Corey
Luis Perez 42.3 8.30 3.40 0.85 105 0.5 Mike Stanton
Dustin McGowan 74.0 6.81 3.89 1.22 83 0.4 Kevin Foster
Brad Lincoln 117.3 6.75 2.38 1.61 80 0.2 Bruce Walton
Sam Dyson 71.3 3.66 3.03 0.88 84 0.2 Jack Cassel
Rich Thompson 51.7 7.49 4.18 1.22 91 0.2 Franklyn German
Justin Germano 108.3 5.40 2.24 1.58 79 0.1 Justin Miller
Chad Beck 59.7 4.22 3.17 0.90 88 0.1 Scott Rose
Buddy Carlyle 55.7 6.14 3.23 1.29 85 0.0 Ricky Barlow
Ronald Uviedo 66.0 7.09 3.95 1.23 84 -0.1 Anthony Chavez
Jeremy Jeffress 54.7 7.40 5.76 0.99 83 -0.1 Marc Pisciotta
Kyle Drabek 114.0 5.68 5.37 1.34 75 -0.2 Brett Laxton
Juan Perez 39.0 8.77 5.77 1.38 80 -0.2 Marshall Bridges
Claudio Vargas 56.0 5.30 3.70 1.45 74 -0.2 Alan Benes
Evan Crawford 45.3 6.16 4.37 1.19 79 -0.2 Joey Long
Bobby Korecky 62.3 4.77 3.32 1.44 80 -0.3 Brandon Puffer
Jamie Moyer 65.0 4.98 2.63 1.94 68 -0.5 Jerry Reuss
Alex Hinshaw 44.7 8.46 7.05 1.41 70 -0.6 Bill White
Chad Jenkins 123.0 4.10 2.93 1.68 67 -1.2 Cameron Reimers
Chorye Spoone 83.3 4.43 7.13 1.19 63 -1.4 Dallas Trahern
Scott Richmond 98.7 5.29 4.10 2.10 62 -1.5 Russ Ortiz
Ramon Ortiz 116.3 4.41 3.10 1.93 64 -1.6 Ed Riley
Greg Smith 113.3 4.37 4.05 2.07 61 -2.0 Dan Smith

***

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 2012. 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.

Players are listed with their most recent teams unless Dan has made a mistake. This is very possible as a lot of minor-league signings are generally unreported in the offseason.

ZiPS is projecting based on the AL having a 4.09 ERA and the NL having a 3.92 ERA.

Players that are expected to be out due to injury are still projected. More information is always better than less information and a computer isn’t what should be projecting the injury status of, for example, a pitcher with Tommy John surgery.

Regarding ERA+ vs. ERA- (and FIP+ vs. FIP-) and the differences therein: as Patriot notes here, they are not simply mirror images of each other. Writes Patriot: “ERA+ does not tell you that a pitcher’s ERA was X% less or more than the league’s ERA. It tells you that the league’s ERA was X% less or more than the pitcher’s ERA.”

Both hitters and pitchers are ranked by projected WAR.




Print This Post



Carson Cistulli occasionally publishes spirited ejaculations at The New Enthusiast.


49 Responses to “2013 ZiPS Projections – Toronto Blue Jays”

You can follow any responses to this entry through the RSS 2.0 feed.
  1. Vince says:

    Arencibia’s comp being John Buck has to be a joke, right?

    +6 Vote -1 Vote +1

  2. Aaron says:

    Are Lyle Overbay and Mike Stanton the two most-comped players in all of ZiPS? They seem to show up everywhere, I wonder what that says about them.

    Vote -1 Vote +1

    • Dan Szymborski says:

      This year, just looking at top 3 comps, some of the most comped-to players are Herm Winningham, Chad Moeller, Brook Jacoby, George Mitterwald, Brad Voyles, Brook Jacoby, and Dave Martinez.

      Vote -1 Vote +1

  3. tom says:

    Any reason why zips thinks Dickey will throw 40 less innings then he did in 2012? Don’t see Gose getting that many at bats in the majors.

    Vote -1 Vote +1

    • Subversive says:

      Read the 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 2012.”

      Vote -1 Vote +1

    • Dan Szymborski says:

      - If you have a pitcher leading the league in batters faced and you’re not projecting fewer next year, something’s gone wrong, because the risk is essentially all to the downside.

      – Dickey has two 200 inning seasons in his career, so it’s a little premature to conclude he’s a tank, even if he is a knuckler.

      – A good chunk of the innings dropped is simply the result of a lesser projection and a change to a significantly tougher environment to pitch in. More hits and a few more walks reduced IP for the same number of batters faced. Not pitching quite as well also results in shorter stints, on average.

      Vote -1 Vote +1

  4. MonkeyEpoxy says:

    Going to be super interesting to see how many high knucklers get corked out of Rogers’ Centre that wouldn’t make it out of Citi Field.

    Vote -1 Vote +1

    • danktrees says:

      except that dickey, and knuckleballers in general, pitch better in domes – especially if they’re closed. so what would be even more interesting to see is whether or not dickey pitches even better at Rogers centre. while Rogers centre is a hitters park, people tend to forget that the jays pitching staff had the lowest era a few years back.

      Vote -1 Vote +1

      • Eminor3rd says:

        That dome for knucklers thing is pure speculation.

        Vote -1 Vote +1

      • Someanalyst says:

        Supported enough for AA to admit in press conference context that the dome will ALWAYS be closed for Dickey’s starts, irrespective of the weather. Given the very strong preference of fans for an open dome, that says something significant.

        Vote -1 Vote +1

      • Jaker says:

        Pure speculation but that speculation is coming from the pitchers themselves. Even if that gives a placebo mental advantage it’s worth noting. ZIPs seems pretty low on Dickey (although it somehow still equates to 4 WAR). I think he can and will beat most of his peripherals (K/9, HR/9, ERA). His K% last year was 24.8% and ZIPs has him at 18%.

        Vote -1 Vote +1

  5. Robert MacKenzie says:

    Right on eh.

    Vote -1 Vote +1

  6. Adam R says:

    How are major-league comps for minor-league players determined? For example, the comp for Anthony Gose is a guy who never earned a non-negative WAR over a full season in his big league career. Yet Carson wrote in the intro that Gose is “viewed as something not unlike major-league average” by ZiPS, based on his projected 2.0 WAR…

    Vote -1 Vote +1

    • Adam R says:

      Sorry, I meant “never posted a WAR over 1″ rather than “never posted a non-negative WAR.”

      Vote -1 Vote +1

      • Darren says:

        Im sure it is based on his minor league stats and the projected aging curve of a young speedster with his tools.

        Vote -1 Vote +1

    • No says:

      Most likely because of a lack of data. His projection is basically taking what he did last year in 189 PA and projecting it across ~650 PA.

      Vote -1 Vote +1

    • Dan Szymborski says:

      They are not “major league” comps.

      Winningham comes as similar to Gose because, at the same point in his career Gose is, Winningham had the most similar recent history to Gose, majors and minors.

      Vote -1 Vote +1

  7. sporkless says:

    BUZZ Oliver? LOL – nice one!

    Vote -1 Vote +1

  8. Rick says:

    Talk about making a splash:

    Toronto SP WAR last year: 5.1
    ZIPS projected WAR for starting five this year: 15.5

    Vote -1 Vote +1

  9. Dave says:

    Not sure you can do what I’m about to because the hitters are projected to total 14,109 plate appearances and the pitchers 3313 innings pitched, but total WAR projected adds up to 47.1 which I believe projects to about 96 wins.

    Vote -1 Vote +1

    • No says:

      You can’t. ZIPS is only about player production and projected PA based only on recent history of PA. To accurately project team WAR, a more indepth PA assessment is needed (he depth chart approach from the article is a good first cut, only including the expected starters for each position).

      Vote -1 Vote +1

    • JeffMathisCera says:

      IF you are going to play the WAR wins game, then 45-46 is probably a better baseline. So 92-93 wins.

      Vote -1 Vote +1

    • Baltar says:

      No, not valid. Adding 45 (Dan’s approximate for an all-replacement team) to the total from the depth chart comes to 90. This is not valid either, but probably a reasonable projection. Doing the same for the Angels yields 96 and for the Nationals 92.

      Vote -1 Vote +1

  10. Shane says:

    Once all the teams are done, will the ZiPS projections be added to the player pages?

    Vote -1 Vote +1

  11. Big Jgke says:

    If Brett Cecil comes anywhere close to that innings projection, something will have gone terribly wrong.

    Vote -1 Vote +1

  12. Big Jgke says:

    Kind of funny to see Brad Lincoln comped to his pitching coach.

    Vote -1 Vote +1

  13. Jaker says:

    On the whole, ZIPs seems fairly conservative about the Jays and yet the result is still quite positive.

    I imagine that Bautista will finish with at least 50 more PAs which could push his WAR above 5. I also don’t see Dickey pitching >3.5 ERA given his track record over the last 3 years and the fact that the dome will mostly be closed. I’d prefer Janssen to close given he’s been one of the best relievers in baseball over the last 2 years by any metric (WAR, WPA, ERA-, K/9, BB/9). Either way, an 8/9 of Santos and Janssen is something to look forward to. Brad Lincoln’s #’s should also be far improved as ZIPs (rightfully so) is ignoring that he became a completely different pitcher in 2012, gaining 2 MPH on his fastball.

    As a Jays’ fan, can’t wait for the season.

    Vote -1 Vote +1

  14. JaysHomer says:

    Bautista projecting 8 more hits than Josh Thole proves that projecting stats is for geeks who DONT ACTUALLY WATCH THE PLAYERS THEY ARE MAKING PROJECTIONS FOR.
    that is all

    -13 Vote -1 Vote +1

    • Adam says:

      You’re adorable.

      Vote -1 Vote +1

    • BobbyS says:

      Josh Thole:

      2012 – 75 hits in 321 AB (.234)
      Career average – .261

      Jose Bautista:

      2012 – 80 hits in 332 AB (.241)
      Career average – .253

      Outrageous!

      Vote -1 Vote +1

      • JaysHomer says:

        Bautista 3 year avg hits = 128
        Thole 3 year avg hits = 74
        Bautista= every day 3 hitter
        Thole= backup catcher

        Vote -1 Vote +1

      • JaysHomer says:

        Career Avg. means NOTHING for some players.
        Bautista pre swing changes playing twice a week in Pitt is not an indicator of his future performance.
        Look at RA Dickey’s stats from 2001-2008. WORTHLESS he didnt even try to throw a knuckle until 06.

        Vote -1 Vote +1

      • BobbyS says:

        And their current roles mean nothing here… because you’re assuming certain playing time for one or the other, but ZiPs doesn’t project playing time in regards to expected role. Look at the projections in context, reading the disclaimers and other information here. Nobody expects Thole to be a better or more valuable player, nor does ZiPs even suggest they’re anywhere in the same.

        Although, Bautista’s .262 average with Toronto alone, doesn’t sway things either.

        Vote -1 Vote +1

      • Neil says:

        Career average “means nothing” is a pretty ridiculous statement. Bautista’s hit between .260 and .270 as a Jay, which is more or less Thole’s career average. And Bautista is getting old, and probably worse, while Thole is still pretty young. Pretty plausible projection, then.

        Vote -1 Vote +1

  15. Izzy Hechkoff says:

    The Dickey prediction seems off. A 3.89 ERA seems a little high and the difference between his ERA and FIP has been larger than .17 over the past few years.

    Vote -1 Vote +1

    • Neil says:

      I don’t think ZiPS takes knuckleballers into account in any special way, does it? That is, it doesn’t know that Dickey’s ability to induce weak contact is a legitimate skill. That’d probably explain it.

      Vote -1 Vote +1

  16. Ivan Grushenko says:

    The ERAs seem worse than the FIPs. If that’s because of crappy defense, the Jays might want to put Gose, Rasmus and Melky in the OF and move Bautista to 1B. Also get a good defensive 2B….like Cliff Pennington or somebody. It’s not like Lind and Mice Hair are going to set the world on fire.

    Vote -1 Vote +1

  17. DukeBlueDevils says:

    What do you think about Marcus Stroman?

    Vote -1 Vote +1

  18. Derb says:

    Any chance we can get a projection for Deck McGuire? I’m sure it won’t be pretty, but he pitched great as a reliever in the AFL this winter, and it’s very possible he sees innings out of the Toronto bullpen this year if nothing else.

    Vote -1 Vote +1

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>