2013 ZiPS Projections – New York Mets
Dan Szymborski’s ZiPS projections, which have typically appeared in the pages of Baseball Think Factory, are being released at FanGraphs this year. Below are the projections for the New York Mets. Szymborski can be found on Twitter at @DSzymborski.
Other 2013 Projections: Angels / Astros / Athletics / Blue Jays / Brewers / Cubs / Giants / Nationals / Phillies / Pirates / Rangers / Rockies / Royals / White Sox.
Batters
Because the author is consumed with sloth, he will not look at the 14 clubs previously considered in this series to verify it, but will instead state the following — namely, that there is a very good chance that Lucas Duda‘s projected defensive rating (-11 runs in left field) is the worst we’ve seen so far. It is also possible, if not likely, that Dan Murphy’s own defensive projection (-7 runs at second base) is the second worst so far by that measure.
Are there bright spots among the Mets’ starting field players? Okay. David Wright remains an All Star candidate, certainly. Ruben Tejada’s performance as a 22-year-old last season has bred encouragement for his future, as well. Furthermore, giving at-bats to players like Andrew Brown, Collin Cowgill, and Anthony Recker — that is, young-ish sorts who’ve demonstrated promise, but have little major-league experience — could produce gains. Otherwise, though, there is little cause for optimism from this squad in its present incarnation.
Pitchers
In 2012, only two pitching staffs (San Diego’s and Minnesota’s) produced a collective WAR of 6.0 or less — which is to say, posting a figure of 6.0 or less is something like an outlier so far as pitching staffs, and the WAR they produce, is concerned. That a system like ZiPS — conservative by nature, owing to the presence of regression — would project, then, a collective WAR as low as ca. 6.0 WAR for a team’s pitching staff is discouraging.
The Mets, of course, are not bound to the particular fate being presented here. It’s possible that Johan Santana will survive for more than 100 innings. It’s even more possible that Jenrry Mejia won’t be given the opportunity to make 13 or whatever entirely fruitless starts. It’s thirdly possible that the club will extract some sort of value from the bullpen. The likely outcome is poor, is the point.
Bench/Prospects
There is hope for the Metropolitans. As the attentive reader will note, three of the top seven WAR projections among Mets’ hitters belong to players (Travis D’Arnaud, Wilmer Flores, and Juan Lagares) who are likely to begin the season in the minors. Add in Wilfredo Tovar, and that ratio becomes four in 10. The pitching depth isn’t quite so, uh… deep, but ZiPS regards Zack Wheeler as nearly a league-average starter already. Finally — and with sympathies to his most vocal supporter — Josh Satin does not appear poised to take the world by storm in 2013.
Depth Chart
Here’s a rough depth chart for the Mets, with rounded projected WAR totals for each player (click to embiggen):
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| David Wright | R | 30 | 3B | 610 | 81 | 146 | 32 | 2 | 19 | 85 | 18 | 9 |
| Ruben Tejada | R | 23 | SS | 610 | 59 | 151 | 28 | 2 | 2 | 40 | 7 | 4 |
| Travis D’Arnaud | R | 24 | C | 407 | 42 | 97 | 20 | 2 | 13 | 50 | 2 | 1 |
| Ike Davis | L | 26 | 1B | 481 | 58 | 104 | 23 | 1 | 21 | 70 | 1 | 2 |
| John Buck | R | 32 | C | 411 | 34 | 83 | 16 | 1 | 13 | 50 | 0 | 0 |
| Wilmer Flores | R | 21 | 3B | 625 | 66 | 147 | 28 | 3 | 14 | 73 | 2 | 3 |
| Juan Lagares | R | 24 | CF | 577 | 59 | 140 | 24 | 8 | 6 | 54 | 16 | 8 |
| Collin Cowgill | R | 27 | CF | 514 | 53 | 115 | 22 | 4 | 8 | 54 | 16 | 5 |
| Dan Murphy | L | 28 | 2B | 469 | 49 | 123 | 28 | 2 | 6 | 57 | 6 | 3 |
| Wilfredo Tovar | R | 21 | SS | 562 | 58 | 123 | 24 | 4 | 2 | 42 | 13 | 10 |
| Brandon Hicks | R | 27 | SS | 452 | 50 | 82 | 20 | 2 | 14 | 46 | 8 | 3 |
| Kelly Shoppach | R | 33 | C | 238 | 21 | 44 | 9 | 1 | 8 | 24 | 0 | 0 |
| Zach Lutz | R | 27 | 3B | 353 | 39 | 72 | 14 | 1 | 10 | 37 | 0 | 1 |
| Josh Rodriguez | R | 28 | SS | 443 | 45 | 92 | 16 | 2 | 8 | 43 | 5 | 5 |
| Anthony Recker | R | 29 | C | 361 | 38 | 74 | 16 | 1 | 10 | 37 | 3 | 2 |
| Matt Den Dekker | L | 25 | CF | 624 | 70 | 131 | 25 | 9 | 13 | 63 | 17 | 8 |
| Justin Turner | R | 28 | 2B | 395 | 44 | 94 | 23 | 1 | 5 | 39 | 4 | 2 |
| Brad Emaus | R | 27 | 2B | 365 | 35 | 76 | 15 | 1 | 6 | 33 | 5 | 2 |
| Juan Centeno | L | 23 | C | 310 | 28 | 72 | 10 | 2 | 1 | 21 | 2 | 1 |
| Lucas Duda | L | 27 | LF | 563 | 59 | 123 | 26 | 2 | 18 | 74 | 1 | 0 |
| Scott Hairston | R | 33 | LF | 322 | 39 | 75 | 17 | 2 | 12 | 44 | 5 | 2 |
| Ronny Cedeno | R | 30 | SS | 373 | 36 | 82 | 17 | 2 | 5 | 37 | 4 | 3 |
| Kirk Nieuwenhuis | L | 25 | RF | 431 | 57 | 92 | 22 | 3 | 10 | 39 | 8 | 5 |
| Fred Lewis | L | 32 | LF | 417 | 50 | 90 | 20 | 5 | 6 | 37 | 12 | 6 |
| Mike Baxter | L | 28 | LF | 360 | 43 | 79 | 17 | 4 | 6 | 34 | 7 | 4 |
| Jordany Valdespin | L | 25 | 2B | 474 | 51 | 111 | 19 | 3 | 11 | 47 | 20 | 15 |
| Reese Havens | L | 26 | 2B | 330 | 32 | 57 | 11 | 1 | 7 | 27 | 1 | 1 |
| Brian Bixler | R | 30 | SS | 359 | 40 | 71 | 13 | 2 | 4 | 26 | 10 | 4 |
| Oswaldo Navarro | R | 28 | SS | 318 | 32 | 63 | 11 | 1 | 3 | 25 | 2 | 2 |
| Cesar Puello | R | 22 | CF | 429 | 42 | 88 | 18 | 4 | 7 | 38 | 17 | 7 |
| Sean Kazmar | R | 28 | SS | 425 | 41 | 90 | 18 | 2 | 4 | 39 | 4 | 3 |
| Andrew Brown | R | 28 | LF | 491 | 48 | 97 | 19 | 2 | 15 | 54 | 3 | 3 |
| Val Pascucci | R | 34 | RF | 432 | 42 | 75 | 15 | 0 | 13 | 47 | 0 | 1 |
| Jamie Hoffmann | R | 28 | LF | 511 | 49 | 106 | 20 | 3 | 9 | 53 | 9 | 4 |
| Josh Satin | R | 28 | 1B | 574 | 59 | 122 | 27 | 1 | 9 | 55 | 2 | 4 |
***
Batters, Rates and Averages
| Player | PA | BB% | K% | ISO | BABIP | BA | OBP | SLG | wOBA |
|---|---|---|---|---|---|---|---|---|---|
| David Wright | 610 | 11.3% | 20.0% | .175 | .320 | .274 | .357 | .449 | .340 |
| Ruben Tejada | 610 | 6.7% | 13.3% | .068 | .314 | .272 | .328 | .341 | .295 |
| Travis D’Arnaud | 407 | 5.4% | 24.1% | .167 | .312 | .257 | .305 | .424 | .315 |
| Ike Davis | 481 | 11.0% | 24.9% | .208 | .290 | .245 | .328 | .453 | .332 |
| John Buck | 411 | 9.2% | 24.8% | .156 | .277 | .227 | .305 | .383 | .296 |
| Wilmer Flores | 625 | 5.0% | 15.8% | .131 | .280 | .253 | .292 | .384 | .290 |
| Juan Lagares | 577 | 4.5% | 20.5% | .107 | .318 | .258 | .294 | .365 | .287 |
| Collin Cowgill | 514 | 7.4% | 20.2% | .116 | .299 | .247 | .307 | .363 | .295 |
| Dan Murphy | 469 | 6.0% | 11.9% | .115 | .310 | .282 | .325 | .397 | .311 |
| Wilfredo Tovar | 562 | 6.4% | 11.6% | .075 | .271 | .242 | .299 | .316 | .271 |
| Brandon Hicks | 452 | 8.4% | 35.2% | .162 | .289 | .201 | .277 | .364 | .283 |
| Kelly Shoppach | 238 | 7.6% | 33.2% | .168 | .295 | .212 | .301 | .380 | .297 |
| Zach Lutz | 353 | 9.9% | 30.6% | .147 | .318 | .231 | .315 | .378 | .304 |
| Josh Rodriguez | 443 | 7.9% | 25.3% | .110 | .297 | .230 | .293 | .340 | .276 |
| Anthony Recker | 361 | 8.3% | 26.6% | .147 | .288 | .227 | .294 | .374 | .293 |
| Matt Den Dekker | 624 | 5.6% | 32.2% | .144 | .325 | .229 | .279 | .373 | .281 |
| Justin Turner | 395 | 6.3% | 12.7% | .111 | .291 | .262 | .321 | .373 | .304 |
| Brad Emaus | 365 | 9.3% | 16.4% | .108 | .268 | .235 | .309 | .343 | .288 |
| Juan Centeno | 310 | 5.8% | 16.8% | .060 | .305 | .254 | .298 | .314 | .268 |
| Lucas Duda | 563 | 10.1% | 23.3% | .170 | .299 | .248 | .330 | .418 | .325 |
| Scott Hairston | 322 | 5.9% | 19.9% | .191 | .281 | .252 | .301 | .443 | .320 |
| Ronny Cedeno | 373 | 6.2% | 21.7% | .105 | .298 | .240 | .288 | .345 | .269 |
| Kirk Nieuwenhuis | 431 | 7.9% | 30.4% | .149 | .327 | .236 | .301 | .385 | .297 |
| Fred Lewis | 417 | 9.6% | 24.7% | .129 | .318 | .242 | .321 | .371 | .304 |
| Mike Baxter | 360 | 9.2% | 21.1% | .135 | .305 | .248 | .328 | .384 | .310 |
| Jordany Valdespin | 474 | 4.0% | 20.5% | .131 | .296 | .250 | .286 | .381 | .282 |
| Reese Havens | 330 | 10.9% | 34.8% | .118 | .298 | .197 | .292 | .315 | .271 |
| Brian Bixler | 359 | 7.2% | 28.4% | .089 | .305 | .218 | .284 | .308 | .263 |
| Oswaldo Navarro | 318 | 7.9% | 21.7% | .077 | .278 | .221 | .288 | .298 | .261 |
| Cesar Puello | 429 | 2.8% | 27.7% | .118 | .297 | .222 | .272 | .340 | .270 |
| Sean Kazmar | 425 | 5.2% | 17.2% | .087 | .270 | .229 | .273 | .316 | .256 |
| Andrew Brown | 491 | 8.1% | 30.3% | .154 | .291 | .220 | .288 | .374 | .286 |
| Val Pascucci | 432 | 12.0% | 35.0% | .143 | .288 | .199 | .296 | .342 | .282 |
| Jamie Hoffmann | 511 | 7.6% | 22.1% | .115 | .281 | .230 | .292 | .345 | .279 |
| Josh Satin | 574 | 9.9% | 27.7% | .110 | .328 | .240 | .319 | .350 | .295 |
***
Batters, Assorted Other
| Player | PA | RC/27 | OPS+ | Def | WAR | No.1 Comp |
|---|---|---|---|---|---|---|
| David Wright | 610 | 6.0 | 122 | -1 | 4.0 | Bob Elliott |
| Ruben Tejada | 610 | 4.1 | 86 | 3 | 2.2 | Bill Knickerbocker |
| Travis D’Arnaud | 407 | 4.7 | 99 | -2 | 1.9 | Joe Oliver |
| Ike Davis | 481 | 5.2 | 114 | 2 | 1.9 | Paul Sorrento |
| John Buck | 411 | 4.1 | 89 | -2 | 1.5 | Jody Davis |
| Wilmer Flores | 625 | 4.0 | 85 | -1 | 1.2 | Blake Dewitt |
| Juan Lagares | 577 | 3.9 | 81 | 3 | 1.2 | Alexis Rios |
| Collin Cowgill | 514 | 4.1 | 85 | 0 | 1.2 | Lou Collier |
| Dan Murphy | 469 | 4.8 | 99 | -7 | 1.1 | Jeff Treadway |
| Wilfredo Tovar | 562 | 3.2 | 71 | 4 | 1.1 | Aaron Capista |
| Brandon Hicks | 452 | 3.5 | 76 | -1 | 0.9 | Blake Whealy |
| Kelly Shoppach | 238 | 3.9 | 87 | -1 | 0.8 | Steve Yeager |
| Zach Lutz | 353 | 4.1 | 91 | -2 | 0.8 | Roy Smalley |
| Josh Rodriguez | 443 | 3.4 | 75 | 1 | 0.8 | Nick Green |
| Anthony Recker | 361 | 3.8 | 84 | -4 | 0.8 | Bill Hayes |
| Matt Den Dekker | 624 | 3.7 | 79 | 0 | 0.8 | Todd Dunwoody |
| Justin Turner | 395 | 4.4 | 92 | -4 | 0.8 | Todd Haney |
| Brad Emaus | 365 | 3.8 | 80 | 0 | 0.7 | John Raifstanger |
| Juan Centeno | 310 | 3.4 | 70 | 1 | 0.7 | Junior Ortiz |
| Lucas Duda | 563 | 5.0 | 106 | -11 | 0.7 | Jerry Willard |
| Scott Hairston | 322 | 4.9 | 103 | -3 | 0.6 | Chris Sabo |
| Ronny Cedeno | 373 | 3.5 | 74 | -1 | 0.5 | Nick Green |
| Kirk Nieuwenhuis | 431 | 4.0 | 88 | 1 | 0.4 | Myron White |
| Fred Lewis | 417 | 4.2 | 91 | -1 | 0.4 | Michael Tucker |
| Mike Baxter | 360 | 4.5 | 96 | -2 | 0.4 | Stu Pederson |
| Jordany Valdespin | 474 | 3.7 | 83 | -4 | 0.2 | Fred Manrique |
| Reese Havens | 330 | 3.1 | 68 | 0 | 0.2 | Jamie Taylor |
| Brian Bixler | 359 | 3.1 | 64 | -2 | 0.2 | Tommy Murphy |
| Oswaldo Navarro | 318 | 2.9 | 63 | -1 | 0.1 | Jason Camilli |
| Cesar Puello | 429 | 3.3 | 68 | -2 | -0.1 | Luis Saturria |
| Sean Kazmar | 425 | 3.0 | 63 | -4 | -0.2 | Joe Millette |
| Andrew Brown | 491 | 3.7 | 82 | -3 | -0.2 | Chris Wakeland |
| Val Pascucci | 432 | 3.4 | 76 | -1 | -0.3 | Ty Van Burkleo |
| Jamie Hoffmann | 511 | 3.6 | 76 | -2 | -0.4 | Chip Childress |
| Josh Satin | 574 | 3.8 | 85 | -4 | -0.4 | Chris Shelton |
***
Pitchers, Counting Stats
| Player | T | Age | G | GS | IP | SO | BB | HR | H | R | ER |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Matt Harvey | R | 24 | 30 | 30 | 163.3 | 159 | 70 | 16 | 148 | 74 | 69 |
| Jon Niese | L | 26 | 29 | 29 | 177.3 | 150 | 49 | 19 | 177 | 82 | 77 |
| Zack Wheeler | R | 23 | 25 | 25 | 141.7 | 136 | 69 | 11 | 127 | 64 | 60 |
| Johan Santana | L | 34 | 16 | 16 | 94.3 | 77 | 29 | 11 | 92 | 45 | 42 |
| Dillon Gee | R | 27 | 23 | 22 | 134.3 | 110 | 46 | 18 | 136 | 72 | 67 |
| Cory Mazzoni | R | 23 | 25 | 25 | 137.3 | 87 | 45 | 15 | 147 | 74 | 69 |
| Bobby Parnell | R | 28 | 70 | 0 | 69.7 | 66 | 25 | 5 | 66 | 29 | 27 |
| Carlos Torres | R | 30 | 36 | 16 | 118.7 | 96 | 67 | 11 | 114 | 63 | 59 |
| Chris Young | R | 34 | 13 | 13 | 70.3 | 47 | 25 | 9 | 72 | 37 | 35 |
| Ramon Ramirez | R | 31 | 62 | 0 | 64.3 | 54 | 30 | 5 | 59 | 29 | 27 |
| Rafael Montero | R | 22 | 19 | 17 | 97.0 | 68 | 28 | 13 | 104 | 54 | 50 |
| Jeremy Hefner | R | 27 | 30 | 24 | 145.0 | 91 | 46 | 16 | 160 | 81 | 76 |
| Frank Francisco | R | 33 | 51 | 0 | 47.7 | 53 | 19 | 5 | 43 | 21 | 20 |
| Jon Rauch | R | 34 | 59 | 0 | 50.3 | 40 | 13 | 6 | 49 | 24 | 22 |
| Tim Byrdak | L | 39 | 53 | 0 | 28.0 | 31 | 15 | 3 | 23 | 13 | 12 |
| Collin McHugh | R | 26 | 28 | 23 | 132.7 | 102 | 59 | 15 | 142 | 77 | 72 |
| Robert Carson | L | 24 | 59 | 0 | 67.7 | 50 | 30 | 6 | 68 | 34 | 32 |
| Gonzalez Germen | R | 25 | 21 | 18 | 107.3 | 75 | 41 | 14 | 116 | 63 | 59 |
| Scott Rice | L | 31 | 47 | 0 | 53.3 | 36 | 29 | 4 | 54 | 28 | 26 |
| Jenrry Mejia | R | 23 | 24 | 13 | 75.0 | 41 | 37 | 7 | 82 | 45 | 42 |
| Justin Hampson | L | 33 | 55 | 0 | 60.3 | 43 | 27 | 6 | 62 | 32 | 30 |
| Aaron Laffey | L | 28 | 37 | 14 | 105.7 | 55 | 48 | 12 | 115 | 62 | 58 |
| Greg Burke | R | 30 | 51 | 0 | 63.7 | 45 | 28 | 7 | 66 | 34 | 32 |
| Josh Edgin | L | 26 | 52 | 0 | 50.7 | 48 | 28 | 7 | 49 | 28 | 26 |
| Chris Schwinden | R | 26 | 27 | 24 | 129.3 | 87 | 48 | 17 | 146 | 78 | 73 |
| Manny Acosta | R | 32 | 58 | 0 | 65.0 | 60 | 30 | 8 | 63 | 35 | 33 |
| Jeurys Familia | R | 23 | 30 | 26 | 126.7 | 102 | 84 | 13 | 130 | 77 | 72 |
| Darin Gorski | L | 25 | 25 | 21 | 118.0 | 92 | 52 | 20 | 129 | 76 | 71 |
| Elvin Ramirez | R | 25 | 58 | 0 | 72.7 | 64 | 61 | 7 | 69 | 44 | 41 |
***
Pitchers, Rates and Averages
| Player | IP | TBF | K% | BB% | BABIP | ERA | FIP | ERA- | FIP- |
|---|---|---|---|---|---|---|---|---|---|
| Matt Harvey | 163.3 | 708 | 22.5% | 9.9% | .292 | 3.80 | 3.89 | 101 | 103 |
| Jon Niese | 177.3 | 758 | 19.8% | 6.5% | .295 | 3.91 | 3.65 | 104 | 97 |
| Zack Wheeler | 141.7 | 621 | 21.9% | 11.1% | .291 | 3.81 | 3.83 | 101 | 102 |
| Johan Santana | 94.3 | 404 | 19.1% | 7.2% | .284 | 4.01 | 3.82 | 106 | 101 |
| Dillon Gee | 134.3 | 585 | 18.8% | 7.9% | .294 | 4.49 | 4.38 | 119 | 116 |
| Cory Mazzoni | 137.3 | 604 | 14.4% | 7.4% | .294 | 4.52 | 4.37 | 120 | 116 |
| Bobby Parnell | 69.7 | 300 | 22.1% | 8.3% | .299 | 3.49 | 3.24 | 93 | 86 |
| Carlos Torres | 118.7 | 537 | 17.9% | 12.6% | .289 | 4.47 | 4.53 | 119 | 120 |
| Chris Young | 70.3 | 309 | 15.1% | 8.2% | .282 | 4.48 | 4.42 | 119 | 118 |
| Ramon Ramirez | 64.3 | 282 | 19.3% | 10.8% | .280 | 3.78 | 3.73 | 100 | 99 |
| Rafael Montero | 97.0 | 423 | 16.1% | 6.6% | .295 | 4.64 | 4.48 | 123 | 119 |
| Jeremy Hefner | 145.0 | 641 | 14.2% | 7.2% | .299 | 4.72 | 4.34 | 125 | 115 |
| Frank Francisco | 47.7 | 206 | 25.6% | 9.4% | .299 | 3.78 | 3.34 | 100 | 89 |
| Jon Rauch | 50.3 | 213 | 18.7% | 6.2% | .280 | 3.93 | 3.77 | 105 | 100 |
| Tim Byrdak | 28.0 | 122 | 25.5% | 12.3% | .286 | 3.86 | 3.35 | 102 | 89 |
| Collin McHugh | 132.7 | 599 | 17.1% | 9.9% | .306 | 4.88 | 4.55 | 130 | 121 |
| Robert Carson | 67.7 | 301 | 16.6% | 10.0% | .295 | 4.26 | 4.19 | 113 | 111 |
| Gonzalez Germen | 107.3 | 479 | 15.6% | 8.6% | .297 | 4.95 | 4.73 | 131 | 126 |
| Scott Rice | 53.3 | 243 | 14.9% | 12.0% | .293 | 4.39 | 4.52 | 117 | 120 |
| Jenrry Mejia | 75.0 | 344 | 11.9% | 10.7% | .294 | 5.04 | 4.88 | 134 | 130 |
| Justin Hampson | 60.3 | 270 | 15.9% | 10.2% | .293 | 4.48 | 4.50 | 119 | 119 |
| Aaron Laffey | 105.7 | 480 | 11.5% | 10.0% | .288 | 4.94 | 4.96 | 131 | 132 |
| Greg Burke | 63.7 | 285 | 15.9% | 9.9% | .295 | 4.52 | 4.42 | 120 | 117 |
| Josh Edgin | 50.7 | 228 | 20.9% | 12.0% | .297 | 4.62 | 4.71 | 123 | 125 |
| Chris Schwinden | 129.3 | 582 | 14.9% | 8.3% | .304 | 5.08 | 4.68 | 135 | 124 |
| Manny Acosta | 65.0 | 288 | 20.7% | 10.4% | .295 | 4.57 | 4.35 | 121 | 116 |
| Jeurys Familia | 126.7 | 594 | 17.2% | 14.1% | .302 | 5.12 | 4.95 | 136 | 132 |
| Darin Gorski | 118.0 | 535 | 17.2% | 9.8% | .298 | 5.42 | 5.24 | 144 | 139 |
| Elvin Ramirez | 72.7 | 348 | 18.3% | 17.6% | .291 | 5.08 | 5.18 | 135 | 138 |
***
Pitchers, Assorted Other
| Player | IP | K/9 | BB/9 | HR/9 | ERA+ | WAR | No. 1 Comp |
|---|---|---|---|---|---|---|---|
| Matt Harvey | 163.3 | 8.79 | 3.87 | 0.89 | 99 | 2.2 | Mike Bielecki |
| Jon Niese | 177.3 | 7.62 | 2.51 | 0.95 | 96 | 2.1 | Frank Tanana |
| Zack Wheeler | 141.7 | 8.62 | 4.36 | 0.73 | 99 | 1.9 | Jason Schmidt |
| Johan Santana | 94.3 | 7.38 | 2.76 | 1.02 | 94 | 1.0 | Mike Flanagan |
| Dillon Gee | 134.3 | 7.36 | 3.09 | 1.20 | 84 | 0.7 | Chris Young |
| Cory Mazzoni | 137.3 | 5.70 | 2.95 | 0.97 | 83 | 0.6 | Josh Fogg |
| Bobby Parnell | 69.7 | 8.53 | 3.22 | 0.70 | 108 | 0.6 | Bert Roberge |
| Carlos Torres | 118.7 | 7.31 | 5.12 | 0.85 | 84 | 0.4 | Bill Zuber |
| Chris Young | 70.3 | 5.97 | 3.25 | 1.09 | 84 | 0.4 | Bob Milacki |
| Ramon Ramirez | 64.3 | 7.62 | 4.26 | 0.73 | 100 | 0.3 | Marc Wilkins |
| Rafael Montero | 97.0 | 6.32 | 2.58 | 1.21 | 81 | 0.3 | Gil Heredia |
| Jeremy Hefner | 145.0 | 5.65 | 2.85 | 1.01 | 80 | 0.3 | Michael Macdonald |
| Frank Francisco | 47.7 | 9.95 | 3.65 | 0.90 | 100 | 0.2 | Jeff Parrett |
| Jon Rauch | 50.3 | 7.10 | 2.35 | 1.02 | 96 | 0.1 | Elias Sosa |
| Tim Byrdak | 28.0 | 10.02 | 4.83 | 0.82 | 98 | 0.1 | Jesse Orosco |
| Collin McHugh | 132.7 | 6.95 | 4.01 | 1.04 | 77 | 0.0 | Don Robinson |
| Robert Carson | 67.7 | 6.65 | 4.02 | 0.76 | 88 | -0.1 | Jonathon Rouwenhorst |
| Gonzalez Germen | 107.3 | 6.27 | 3.47 | 1.18 | 76 | -0.1 | Eric Boudreaux |
| Scott Rice | 53.3 | 6.11 | 4.92 | 0.67 | 86 | -0.2 | Matt Whisenant |
| Jenrry Mejia | 75.0 | 4.90 | 4.43 | 0.89 | 75 | -0.2 | Don Carrithers |
| Justin Hampson | 60.3 | 6.39 | 4.10 | 0.90 | 84 | -0.2 | C.J. Nitkowski |
| Aaron Laffey | 105.7 | 4.72 | 4.07 | 1.00 | 76 | -0.3 | Rich Rundles |
| Greg Burke | 63.7 | 6.42 | 3.98 | 0.92 | 83 | -0.3 | Jake Robbins |
| Josh Edgin | 50.7 | 8.47 | 4.88 | 1.17 | 82 | -0.3 | Mike Johnston |
| Chris Schwinden | 129.3 | 6.02 | 3.36 | 1.17 | 74 | -0.3 | Andy Taulbee |
| Manny Acosta | 65.0 | 8.27 | 4.13 | 1.12 | 82 | -0.3 | Doug Bochtler |
| Jeurys Familia | 126.7 | 7.24 | 5.96 | 0.89 | 74 | -0.4 | Brian Wood |
| Darin Gorski | 118.0 | 7.00 | 3.98 | 1.56 | 70 | -0.8 | Danny Christensen |
| Elvin Ramirez | 72.7 | 7.89 | 7.58 | 0.85 | 74 | -0.8 | Ryan Henderson |
***
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.
Carson Cistulli has published a book of aphorisms called Spirited Ejaculations of a New Enthusiast.

So Wrightt is coming off one of the best years of his career and zips has his avg and obp and slugging percentage all cratering? Zips realizes Wright is thirty not thirty five right? David’s projections seem way off.
I don’t think ZiPs understands the nuances of his injuries (that they are less likely than normal back/leg injuries to hinder him going forward). You do have to admit though that he is probably due for a bit of regression and is probably starting to decline. I’d guess more of a 5ish WAR season for Wright.
Of course, look at the rest of the team. This group could challenge the Marlins for last place.
The rest of the team stunk last year too and he was great. This is a not regression this is a projection of all his skill sets cratering.
the main difference between this projection and his line from last year is that his BABIP was .347 last year and he’s projected at .320 this year, which is maybe still too generous given that he’s a career .301 BABIPer (though he did hit more line drives in 2012–i wouldn’t be shocked to see that continue and his BABIP come in at .320ish). The only other number that’s way off from last year is K%, which makes sense given that he hadn’t had a K% under 20 since 2008 until last season. It’s hardly projecting a “cratering” skill set. It’s not impossible that he sustains a return to his 2008 form but you can’t use that as a 50/50 projection.
@Juan: His career BABIP is .341
you are correct. not sure what i was looking at, but feel free to disregard my statement since obviously it’s not based on correct info.
@Red – I was explaining why I’d guess he would be somewhere in between the Zips projection and his 2012 season. His peripherals should regress a bit and since he’s going to be 30 I believe you can’t rule out that he is past his peak. 5 WAR is an all star.
My comment about the rest of the team was just a childish dig at the Mets; it had nothing to do with Wright’s expected performance.
Wright is still such a tough guy to pin down because his career arc has been so abnormal. Last year he had an MVP-caliber first half and a very poor second half. I wouldn’t really be surprised by any kind of year from him.
First of all, here are David Wright’s WAR totals from the past few 4 seasons: 3.5, 4.0, 1.9, 7.8. Yes, it’s totally insane to project him for 4.0 WAR. ZiPS must be broken.
Second of all, stop saying “crater”. It’s a ridiculous term.
Also Ike’s projects ions seems of to me too. I see Niese, Murphy, Ike, and Wright all being better than these projections.,
Also Ike’s projects ions seems of to me too. I see Niese, Murphy, Ike, and Wright all being better than these projections.,
Well said.
Split personalities… Tom? Derek?
Regression to the mean. You can’t expect players (especially this far into their career, for Wright) to easily top their career year. That’s not to say they can’t or won’t… but that isn’t likely to be their baseline.
Nobody says he’ll match just that he won’t crater. As projectd.
Zips seems too negative on everyone this year, and bill James is too high on everyone.
I feel like the real projections are to split the difference in all their numbers.
Count me in among those stupefied by these projections for Wright. Seems like zips is weighing Wright’s 2011 and putting too much stock in it as he was playing with a broken back.
I’m probably the only one who cares about this, but curious as to what position or position(s) Flores was projected at.
P.S. Thanks for the shout-out, Carson.
So what you’re saying is, they’d be better off just putting a bucket in left field?
Depends on the size of the bucket.
For Mets fans that think ZIPS is way too pessimistic, I point you to Duda’s -11 defense. I’d sign up for that in a heart beat.
Ike Davis. Statistics can’t account for the impact of Valley Fever on his bizarrely awful first two months of 2012. It’s a little strange that despite the depressing circumstances of his start last year, Zips has him hitting 12 fewer home runs. I expect Ike to produce on a level of his second half numbers: .255/.346/.542 with 30-35 home runs.
Zips does not adjust for likely playing time and platoons. I don’t disagree with this, actually, for the projections themselves, since Zips can’t anticipate how a player will actually be used, and since this gives us a better view for making comparisons. But we do need to be careful about interpretation. Cowgill and Nieuwenhuis will likely have better average stats because they will be platooned; if Duda and Andrew Brown also platoon, their averages will also be significantly better.
I share the pessimism about the pitching. There is reason for hope in that many players have upsides: e.g., if Santana progresses further in his recovery from his shoulder injury, and there are a lot of young players that could exceed projections (esp. Mejia and Familia, who not long ago were top prospects). But on a bet I would not deviate far from what’s here.
A .255/.346/.542 line from Ike Davis in Citi Field would make him one of the most valuable hitters in all of baseball. His ISO would be .287. For reference, here are the players (in all of baseball) that ZiPS projects to have an ISO above .250:
Giancarlo Stanton: .320
David Ortiz: .294
Jose Bautista: .291
Well, I just took his second half numbers from 2012.
I.e., he must have been one of the most valuable hitters in all of baseball in the second half of 2012. He also hit 20 home runs during that span (more than what Zips projects for all 2013).
You linked to “Dan Murphy”, rather than “Daniel Murphy”
http://www.fangraphs.com/statss.aspx?playerid=4316&position=1B/2B
The offensive projection for Wright does look a little low, regardless whether you look at 1, 2 or 3 years of history. The problem seems to originate from regression/inferred age-related decline of BABIP. Wright is a bit of a special case, with his long-term history of high line-drive rates, low pop-up rates and power. If you knock up the BABIP 10 points, you probably would get a better projection (in my view).
On the other hand, his defensive projection is well-nigh impossible to make. The various metrics are consistent, but show a player with absolutely no discernible pattern except tremendous variation. ZIPS takes the middle ground and attaches a little extra weight to his 2012 season. That is probably a bit generous to him.
his career BABIP is 20 points lower than the projection–I’d agree that he looked more like his 2008 self last year and wouldn’t be shocked to see him maintain the LD%, but I don’t see why you’d expect him to BABIP above .320 even with that.
Wright has a career BABIP of .341. It’s his career average that is .301.
Nice job getting his babip wrong maybe zips did too?
yep, my mistake–not sure what ZiPS is looking at, but i was looking at the career avg and hence made some incorrect conclusions
Is Alexis Rios Alex Rios younger sister or something? I’d be pissed if I was Juan Lagares.
Alex Rios’s full first name is Alexis
Looks to be about a 68-72 win team. Looks to be another rough season at Citi Field.
The rough invalid ZiPS projection (45 replacement level plus 19 from the depth chart) comes to 64 wins. This is slightly higher than the Astros and way, way lower than any other team so far.
A rough season indeed. I didn’t realize the Mets had fallen that far.
Yeah I added in D’Arnaud and some luck because 64 wins is bottom of the barrel most years. They really have no consistently above-average talent. Although I do think Ike Davis is better than projected.
I think I understand *why* ZIPS is projecting Ike and Murphy to perform way below their career averages, but I still don’t think it’s a good projection.
Ike’s career: .252/.335/.461, 115 OPS+
Projection: .245/.328/.453, 114 OPS+
Am i missing something being way off, other than perhaps his HR, which are projected with ~100 fewer PA than he had in 2012, so I’m guessing the odds for him to match or better that season aren’t too bad.
Some people may be forgetting that batting lines are down in general across baseball. It’s also easy/tempting to look at an objective projection system like ZiPS and say, “I can do better; I have more information than this system’s algorithms take into account.” The problem there, I think, is that experts’ projections typically perform worse, on average, than ones from ZiPS et al. We’re good at disproportionately finding data to support our gut feelings.
Looking closer, I guess it is partly just playing time, but still, Ike has averaged over 2.9 WAR per 600 PA in his young career.
ZIPS projects him for both less playing time and lower performance (2.4 WAR/600).
Silvan – Ike’s career WAR is largely impacted by those ~10 runs saved a few years back. ZiPS is projecting him as an only slight above-average defensive first baseman. If you look at oWAR instead of accounting for defense as well, you’ll find that Ike’s projected 2013 oWAR looks right on target.
No, this system is grossly underrating Ike Davis’ ability because in the first two months of 2012 he hadn’t recovered from valley fever and hit like a low-level minor leaguer. All evidence before and since suggest that he has a good batting eye and superior power at the major-league level.
There were 340 hitters that ZiPS projected going into 2012 that ended up getting 200 plate appearances in the majors. In real-life, they combined to hit 262/329/418. Prorating their 2012 projections by their actual playing time, they were projected to hit 262/328/414. In a decade, ZiPS has missed on the optimistic side as often as the pessimistic side.
Repeating this, ZiPS has missed by more than 10 points of OPS once, in 2010. Which was hardly surprising because it guessed extremely high on offense that year (2009 to 2010 was a 23 point drop in OPS). Going to 2005 (I had simpler models before that), the median ZiPS miss for regulars (in absolute terms) is 5 points of OPS.
You’ll never see me make grand claims about the accuracy of projections. Individual players are extremely volatile and I’m prone to describing the goal of ZiPS is to be the “least horribly inaccurate method of predicting the future.” I have a long track record of being very blunt and forthright about the nature of projections.
But here, I’m going to be very firm in defense. There is zero reason to believe that ZiPS has an optimistic or pessimistic bias contained within. Projecting a league in which the batters and pitchers are projected in the same environment and the average team comes out around .500 is one of the easier tasks.
Here’s an exercise. Think of a player that has been a star over the last 4 years. Now, imagine a distribution of their future results in the next year based on that 4 year average or whatever you eyeballed as his current level of ability. If the distribution you’ve imagined looks like this, give yourself an F.
If you want a projection system that thinks an average team is 88-74, by all means, don’t use ZiPS or CAIRO or PECOTA or Marcel and instead use the option available that more closely fits your needs. On an ideological level, I’m completely in favor of drug legalization.
I don’t think ZIPS is pessimistic on average. But there are always going to be a few projections that look overly optimistic or pessimistic. ZIPS knows that the average Met is likely to suck. But it doesn’t know how Davis might have been affected by Valley Fever, or, on the other side, that Duda might be an even worse outfielder than it can comprehend.
I have wondered if team projections based on ZIPS and its ilk may underrate clubs with strong upper-minors depth (which the Mets aren’t, sadly, beyond Wheeler/d’Arnaud), since those teams may have greater flexibility to scout their own players during the season and allocate playing time better than ZiPS could be expected to predict. But maybe that’s all baked in already.
I try to do that with my Monte Carlo sims. I have all the nth projection splits for all the players and a covariance matrix in order to simulate selection bias (for example, players that are simulated at their 5th-percentile projection are going to get fewer plate appearances than when they are simulated at their 20th or 50th or 75th-percentile).
The simulation then fills in plate appearances of the simulated backups and minor leaguers until the offense gets to 27*162 outs. So, if Ruben Tejada has a very good year in the simulation, he gets a lot of plate appearances. If he’s simulated to play much worse, he gets fewer and the various utility/AAA players get more of them, especially the ones playing above their projection.
That’s why I don’t count the added up depth chart WAR as an “official” projection. I try to deal with the issue as rigorously as I am practically able to.
Does ZiPS have a way of accounting for the Mets medical staff?
Ah, cool. I’d be interested to venture into the guts of such a simulation. Thanks for the response!
Of course fans always find projections for their team to be pessimistic. Every player has a range of low-to-high likely performance, and fans tend to anticipate the high end of that range (hope springs eternal!)
The projections serve as a dose of reality every spring. As a fan I root for the high end outcome, but I know that the projection is the most likely.
Projections are a baseline, and we’re supposed to debate how accurate they are using anecdotal info or other statistical information. That is how they entertain us.
I don’t make a big deal about what ZIPs spits out for any given player. Overall it’s accurate, and certainly less rose-colored than James.
That said, Murph is .292/.339/.427 for his career, so I think .282/.325/.397 for his age 28 year may undersell him a tad. Or a .311 wOBA when he has never been under .318 in any season and he is .333 overall. Tejada at .295 wOBA when he has been over .300 in his age 21 and 22 seasons. Well, ok, I could see that, but it does seem a bit off to have young players starting to under-perform their career norms. I also think Ike is a little better than this (again, the Valley Fever first half excuse).
But I’m a fan. When I was a kid I always projected John Milner would break out and hit 30 homers. I’m pretty sure ZIPs was overoptimistic on Duda heading into 2012, so you never know.
This may be the worst Mets team since the Willie Montanez years. And that is saying something. But hey, at least we have 2014 to look forward to. Or was that 2015?
Keep going.
As long as Freddy and Jeffy are running the show, the can is just gonna get kicked farther and farther down the road.
These are some ugly projections. Yikes.
I’m curious about Harvey only getting 163 IP. Between minors and majors last year, he had 169 IP. Outside of injury, I’d expect him to be a lot closer to 190 IP.
That’s a general feature of projection systems like ZIPS. The possibility of injury is cooked into the playing time projections, so you’ll rarely see any pitcher approach 200 innings in a projection, even though many actual pitchers will reach that level.
Oh fuck, where did RA dickey go!
You know your late to posting when you get BEHIND the freakin’ offshore clothing scabs,…
Hoping some Mets fans and FanGraph experts can help:
I have seen Familia being ranked as starter and reliever this year. I used to be in the starter camp, but now leaning to the pen.
Most prognastications seem to cover BOTH, although 26GS seems like A LOT.
Any idea what his role will be this year (and beyond)?
Thanks!!
He may well begin the season starting games in AAA, but most likely that’s just to get him innings to prepare for an eventual MLB pen role. Familia’s really running out of time to improve enough to show he can handle a starting role in the majors.
I know its a very small chance that Syndergaard sees MLB time this year, but is it possible to get a projection for him?
I see lots of guys who probably wont sniff the bigs get a projection.
Thanks Dan for all your hard work.
Is Niese comparable to the fireballing Frank Tanana or the junkballing Frank Tanana?
Put it this way: Niese may be traded to the Red Sox very soon…
What is this? No one on the met’s hitting over .300? The lowest ERA of the entire staff is 3.80, and only 3 Pitchers with an ERA under 4.00? Ike Davis’ had a dreadful first half and still hit 32 homeruns, and this says he will only hit 21 in 2013 but his average will go up? Why is Shoppach on this list? WHY IS MANNY ACOSTA ON THIS LIST?
It seems ZIPS does not grant 300 hitters. VERY few 300 hitters in the ZIPS forecasts I have seen this year…
ERA, not sure, I dont even look at it…
How do the players who aren’t on the team anymore impact things? There are quite a few listed.
If you’re projecting players team by team, free agents have to be listed somewhere.
I think I want to cry…
Sorry, dumb question. How is Harvey’s ERA- 101 if his ERA is projected to be 3.80 and NL ERA to be 3.92? Shouldn’t it be below 100?
Park adjustment, I’m guessing.
Ah okay, that does make a bit more sense now. Thanks.
Wheeler to throw 142 big league innings will be interesting to see. I know its a zero at their 5th starter so maybe its not crazy that they try to miss the super 2 cut off and let him go. 149 between AA n AAA.
Oh I just hope the Mets finish above the Marlins.
Danny Herrera, please.