2015 ZiPS Projections – St. Louis Cardinals
After having typically appeared in the very hallowed pages of Baseball Think Factory, Dan Szymborski’s ZiPS projections have been released at FanGraphs the past couple years. The exercise continues this offseason. Below are the projections for the St. Louis Cardinals. Szymborski can be found at ESPN and on Twitter at @DSzymborski.
Other Projections: Atlanta / Chicago AL / Colorado / Los Angeles AL / Miami / Milwaukee / Oakland / San Francisco / Tampa Bay / Washington.
Batters
Cardinal batters produced the best strikeout rate and second-best defensive-runs figure in the National League last year. The club’s ZiPS projections suggest that they might approximate those sorts of results in 2015. Neither Matt Adams nor Mark Reynolds will be much help in that regard, but the rest of the team’s starters are all above-average by one, if not both, of those measures.
Nor will Jason Heyward change the club’s dynamic at all in this regard. He’s projected to save 18 runs in right field (which equates to about 10-11 runs above average overall after the positional adjustment) while recording walk and strikeout rates both better than league average. Less publicized acquisitions by the club — like of Dean Anna (14.9% K and -1 run at shortstop) and Ty Kelly (16.2% K and -1 run at second base) — also offer strong contact rates and average to above-average defensive skills.
Pitchers
The Cardinals rotation this April will, it appears, very much resemble the one deployed by the club last September. John Lackey, Lance Lynn, Shelby Miller, Michael Wacha, and Adam Wainwright recorded 24 of the team’s 26 starts during that month. Miller, largely on account of how he’s been traded to Atlanta, won’t be available to the Cardinals. The other four, however, are expected to occupy he top-four slots in the rotation, with Carlos Martinez filling the fifth role. ZiPS projects each of them to produce league-average numbers or better.
Closer Trevor Rosenthal walked batters at exactly twice the rate in 2014 as he had in 2012-13 combined — this, while also striking out fewer batters. Not a great confluence of events, that, but also not one that spells imminent doom, according to ZiPS, which projects Rosenthal to regress positively by both metrics. New acquisitions Matt Belisle and Jordan Walden, meanwhile, are forecast to produce the fourth- and third-best FIPs among all Cardinals pitchers — behind only Rosenthal and Wainwright.
Bench/Prospects
The Cardinals feature not only a deep rotation — insofar, that is, as their fifth starter is projected to produce two wins — but also substantial depth behind that rotation. Tim Cooney, Marco Gonzales, Tyler Lyons, and Zachary Petrick are all forecast to record at least a win — or the major-league equivalent of a win — in 2015. Among field players, Randal Grichuk is expected to occupy a bench role for the parent club. He’s exhibited above-average power, but a lack of plate discipline (he’s projected to post 4.0% and 21.4% walk and strikeout rates, respectively) limits his ceiling for now.
Depth Chart
Below is a rough depth chart for the present incarnation of the Cardinals, with rounded projected WAR totals for each player. For caveats regarding WAR values see disclaimer at bottom of post. Click to embiggen image.
Ballpark graphic courtesy Eephus League. Depth charts constructed by way of those listed here at site and author’s own haphazard reasoning.
Batters, Counting Stats
| Player | B | Age | PO | PA | R | H | 2B | 3B | HR | RBI | SB | CS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yadier Molina | R | 32 | C | 508 | 50 | 136 | 29 | 0 | 11 | 55 | 5 | 2 |
| Jason Heyward | L | 25 | RF | 597 | 83 | 142 | 28 | 3 | 16 | 63 | 14 | 4 |
| Jhonny Peralta | R | 33 | SS | 543 | 53 | 131 | 31 | 1 | 15 | 61 | 2 | 2 |
| Matt Carpenter | L | 29 | 3B | 630 | 88 | 150 | 35 | 4 | 9 | 62 | 4 | 3 |
| Matt Holliday | R | 35 | LF | 584 | 79 | 140 | 30 | 1 | 20 | 80 | 4 | 2 |
| Kolten Wong | L | 24 | 2B | 552 | 65 | 135 | 21 | 5 | 11 | 50 | 21 | 5 |
| Jon Jay | L | 30 | CF | 530 | 61 | 133 | 21 | 3 | 5 | 50 | 10 | 5 |
| Ty Kelly | B | 26 | 2B | 555 | 67 | 125 | 20 | 2 | 9 | 53 | 7 | 3 |
| Peter Bourjos | R | 28 | CF | 311 | 40 | 70 | 11 | 5 | 6 | 29 | 9 | 2 |
| Matt Adams | L | 26 | 1B | 501 | 54 | 132 | 28 | 2 | 17 | 64 | 2 | 1 |
| Cody Stanley | L | 26 | C | 385 | 36 | 87 | 14 | 2 | 6 | 34 | 5 | 1 |
| Dean Anna | L | 28 | SS | 424 | 54 | 90 | 19 | 4 | 5 | 40 | 2 | 3 |
| Ed Easley | R | 29 | C | 310 | 33 | 71 | 14 | 1 | 6 | 30 | 1 | 2 |
| Pete Kozma | R | 27 | SS | 490 | 52 | 99 | 24 | 2 | 5 | 45 | 7 | 4 |
| Randal Grichuk | R | 23 | LF | 593 | 73 | 139 | 31 | 5 | 20 | 67 | 8 | 7 |
| Thomas Pham | R | 27 | CF | 284 | 32 | 66 | 11 | 5 | 5 | 26 | 8 | 2 |
| Greg Garcia | L | 25 | 2B | 479 | 52 | 98 | 19 | 3 | 5 | 34 | 8 | 4 |
| Scott Moore | L | 31 | 3B | 481 | 52 | 101 | 25 | 1 | 11 | 48 | 1 | 1 |
| Mike O’Neill | L | 27 | LF | 500 | 55 | 123 | 18 | 4 | 1 | 33 | 8 | 6 |
| Aledmys Diaz | R | 24 | SS | 567 | 61 | 129 | 27 | 3 | 14 | 60 | 15 | 6 |
| Stephen Piscotty | R | 24 | RF | 547 | 59 | 134 | 30 | 1 | 8 | 47 | 10 | 5 |
| Mark Ellis | R | 38 | 2B | 293 | 27 | 61 | 9 | 1 | 2 | 27 | 4 | 1 |
| Breyvic Valera | B | 23 | 2B | 603 | 61 | 158 | 17 | 6 | 0 | 43 | 11 | 11 |
| Jacob Wilson | R | 24 | 2B | 363 | 37 | 74 | 19 | 1 | 7 | 34 | 3 | 3 |
| Rafael Ortega | L | 24 | CF | 420 | 43 | 91 | 12 | 4 | 5 | 30 | 17 | 11 |
| Greg Miclat | B | 27 | 2B | 300 | 29 | 64 | 10 | 1 | 1 | 17 | 14 | 3 |
| Luis Mateo | R | 25 | SS | 390 | 37 | 84 | 16 | 1 | 4 | 30 | 9 | 7 |
| Mark Reynolds | R | 31 | 1B | 479 | 57 | 91 | 17 | 0 | 20 | 59 | 3 | 2 |
| Joey Butler | R | 29 | LF | 396 | 43 | 87 | 18 | 1 | 8 | 33 | 2 | 2 |
| Tony Cruz | R | 28 | C | 155 | 13 | 32 | 7 | 1 | 1 | 18 | 0 | 2 |
| Patrick Wisdom | R | 23 | 3B | 530 | 49 | 100 | 20 | 4 | 11 | 47 | 5 | 1 |
| Xavier Scruggs | R | 27 | 1B | 535 | 56 | 103 | 23 | 2 | 15 | 54 | 5 | 4 |
***
Batters, Rates and Averages
| Player | PA | BB% | K% | ISO | BABIP | AVG | OBP | SLG | wOBA |
|---|---|---|---|---|---|---|---|---|---|
| Yadier Molina | 508 | 6.3% | 11.0% | .134 | .310 | .292 | .340 | .426 | .332 |
| Jason Heyward | 597 | 10.1% | 17.3% | .155 | .306 | .269 | .348 | .424 | .344 |
| Jhonny Peralta | 543 | 7.9% | 17.7% | .158 | .301 | .265 | .326 | .423 | .329 |
| Matt Carpenter | 630 | 11.0% | 15.6% | .128 | .317 | .276 | .360 | .404 | .337 |
| Matt Holliday | 584 | 10.4% | 16.6% | .181 | .304 | .275 | .348 | .456 | .359 |
| Kolten Wong | 552 | 5.6% | 15.2% | .125 | .297 | .264 | .310 | .389 | .310 |
| Jon Jay | 530 | 6.6% | 15.3% | .090 | .332 | .284 | .352 | .374 | .318 |
| Ty Kelly | 555 | 10.1% | 16.2% | .104 | .294 | .254 | .333 | .358 | .312 |
| Peter Bourjos | 311 | 6.1% | 24.1% | .140 | .320 | .251 | .310 | .391 | .310 |
| Matt Adams | 501 | 5.0% | 22.2% | .176 | .332 | .281 | .317 | .457 | .335 |
| Cody Stanley | 385 | 4.4% | 22.3% | .100 | .297 | .242 | .276 | .342 | .273 |
| Dean Anna | 424 | 9.4% | 14.9% | .113 | .276 | .243 | .322 | .356 | .300 |
| Ed Easley | 310 | 6.1% | 18.1% | .119 | .289 | .249 | .301 | .368 | .296 |
| Pete Kozma | 490 | 7.3% | 18.8% | .098 | .269 | .223 | .284 | .321 | .266 |
| Randal Grichuk | 593 | 4.0% | 21.4% | .181 | .287 | .248 | .285 | .429 | .310 |
| Thomas Pham | 284 | 6.7% | 26.4% | .137 | .333 | .252 | .306 | .389 | .312 |
| Greg Garcia | 479 | 8.4% | 21.7% | .095 | .295 | .232 | .312 | .327 | .286 |
| Scott Moore | 481 | 6.7% | 22.5% | .139 | .283 | .233 | .300 | .372 | .298 |
| Mike O’Neill | 500 | 9.8% | 9.6% | .065 | .307 | .278 | .349 | .343 | .308 |
| Aledmys Diaz | 567 | 3.0% | 22.9% | .142 | .294 | .244 | .276 | .386 | .290 |
| Stephen Piscotty | 547 | 5.9% | 12.4% | .111 | .293 | .266 | .319 | .377 | .308 |
| Mark Ellis | 293 | 5.5% | 17.7% | .064 | .277 | .231 | .287 | .295 | .258 |
| Breyvic Valera | 603 | 4.8% | 7.3% | .051 | .301 | .279 | .314 | .330 | .283 |
| Jacob Wilson | 363 | 6.6% | 20.9% | .128 | .268 | .225 | .285 | .353 | .282 |
| Rafael Ortega | 420 | 6.9% | 19.0% | .091 | .286 | .238 | .293 | .329 | .274 |
| Greg Miclat | 300 | 7.7% | 21.0% | .056 | .306 | .237 | .302 | .293 | .273 |
| Luis Mateo | 390 | 3.6% | 20.8% | .081 | .284 | .230 | .265 | .311 | .251 |
| Mark Reynolds | 479 | 11.3% | 28.4% | .184 | .268 | .218 | .311 | .402 | .316 |
| Joey Butler | 396 | 9.6% | 26.5% | .125 | .329 | .248 | .328 | .373 | .313 |
| Tony Cruz | 155 | 5.2% | 19.4% | .084 | .272 | .222 | .266 | .306 | .246 |
| Patrick Wisdom | 530 | 5.8% | 33.0% | .124 | .287 | .203 | .251 | .327 | .259 |
| Xavier Scruggs | 535 | 8.8% | 32.7% | .151 | .304 | .216 | .297 | .367 | .298 |
***
Batters, Assorted Other
| Player | PA | RC/27 | OPS+ | Def | zWAR | No.1 Comp |
|---|---|---|---|---|---|---|
| Yadier Molina | 508 | 5.6 | 111 | 9 | 4.5 | Terry Steinbach |
| Jason Heyward | 597 | 5.6 | 114 | 18 | 4.4 | Rusty Greer |
| Jhonny Peralta | 543 | 5.0 | 106 | 6 | 3.7 | Rich Aurilia |
| Matt Carpenter | 630 | 5.4 | 112 | -2 | 3.2 | Denis Menke |
| Matt Holliday | 584 | 6.2 | 126 | -3 | 2.9 | Dusty Baker |
| Kolten Wong | 552 | 4.7 | 93 | 5 | 2.4 | Martin Prado |
| Jon Jay | 530 | 5.0 | 102 | 0 | 2.3 | Del Unser |
| Ty Kelly | 555 | 4.3 | 92 | -1 | 1.7 | Roger Holt |
| Peter Bourjos | 311 | 4.6 | 94 | 5 | 1.6 | Kenny Kelly |
| Matt Adams | 501 | 5.5 | 112 | 1 | 1.4 | Rico Brogna |
| Cody Stanley | 385 | 3.5 | 71 | 6 | 1.4 | Bob Kearney |
| Dean Anna | 424 | 4.0 | 88 | -1 | 1.3 | Mike Moriarty |
| Ed Easley | 310 | 3.9 | 85 | 0 | 1.1 | Damian Miller |
| Pete Kozma | 490 | 3.1 | 68 | 6 | 0.9 | Nick Ortiz |
| Randal Grichuk | 593 | 4.3 | 95 | 1 | 0.9 | Edgard Clemente |
| Thomas Pham | 284 | 4.5 | 92 | -1 | 0.8 | Herm Winningham |
| Greg Garcia | 479 | 3.6 | 78 | 1 | 0.7 | Jorge Sequea |
| Scott Moore | 481 | 3.9 | 86 | -3 | 0.7 | Mike Pagliarulo |
| Mike O’Neill | 500 | 4.4 | 94 | 0 | 0.7 | Jim Eppard |
| Aledmys Diaz | 567 | 3.9 | 82 | -7 | 0.6 | Danny Klassen |
| Stephen Piscotty | 547 | 4.4 | 93 | -1 | 0.5 | John Barnes |
| Mark Ellis | 293 | 3.1 | 63 | 6 | 0.4 | Pete Suder |
| Breyvic Valera | 603 | 3.7 | 79 | -2 | 0.3 | Ismael Gallo |
| Jacob Wilson | 363 | 3.4 | 76 | 0 | 0.2 | Ronald Garth |
| Rafael Ortega | 420 | 3.3 | 73 | 1 | 0.2 | Jamie Hoffmann |
| Greg Miclat | 300 | 3.4 | 66 | 0 | 0.2 | Doug Baker |
| Luis Mateo | 390 | 2.8 | 60 | 4 | 0.1 | Larry Infante |
| Mark Reynolds | 479 | 4.3 | 96 | -4 | 0.0 | Ty Van Burkleo |
| Joey Butler | 396 | 4.3 | 95 | -7 | -0.1 | Russ Morman |
| Tony Cruz | 155 | 2.5 | 59 | -2 | -0.2 | Brandon Marsters |
| Patrick Wisdom | 530 | 2.8 | 59 | 0 | -0.6 | Brad Harman |
| Xavier Scruggs | 535 | 3.7 | 83 | -3 | -0.8 | Mel Wearing |
***
Pitchers, Counting Stats
| Player | T | Age | G | GS | IP | K | BB | HR | H | R | ER |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Wainwright | R | 33 | 30 | 30 | 203.7 | 175 | 42 | 13 | 182 | 71 | 66 |
| Lance Lynn | R | 28 | 33 | 31 | 192.7 | 184 | 69 | 14 | 173 | 75 | 70 |
| John Lackey | R | 36 | 28 | 27 | 175.7 | 143 | 38 | 21 | 171 | 76 | 71 |
| Michael Wacha | R | 23 | 25 | 23 | 129.3 | 119 | 38 | 11 | 115 | 50 | 47 |
| Carlos Martinez | R | 23 | 28 | 28 | 150.0 | 128 | 51 | 9 | 146 | 65 | 61 |
| Marco Gonzales | L | 23 | 22 | 18 | 108.3 | 93 | 36 | 11 | 103 | 48 | 45 |
| Trevor Rosenthal | R | 25 | 75 | 0 | 77.7 | 103 | 32 | 5 | 58 | 24 | 22 |
| Tyler Lyons | L | 27 | 26 | 22 | 132.3 | 103 | 36 | 14 | 131 | 62 | 58 |
| Tim Cooney | L | 24 | 25 | 25 | 149.3 | 105 | 39 | 17 | 155 | 73 | 68 |
| Zachary Petrick | R | 25 | 29 | 19 | 118.0 | 87 | 38 | 12 | 118 | 57 | 53 |
| Boone Whiting | R | 25 | 22 | 20 | 101.3 | 83 | 40 | 11 | 99 | 49 | 46 |
| Jaime Garcia | L | 28 | 13 | 13 | 77.7 | 62 | 19 | 9 | 79 | 37 | 35 |
| Mike Mayers | R | 23 | 25 | 25 | 147.7 | 95 | 40 | 17 | 161 | 78 | 73 |
| Jordan Walden | R | 27 | 57 | 0 | 49.7 | 59 | 22 | 4 | 40 | 18 | 17 |
| Samuel Tuivailala | R | 22 | 44 | 0 | 54.7 | 67 | 29 | 4 | 44 | 21 | 20 |
| Matt Belisle | R | 35 | 64 | 0 | 65.7 | 52 | 17 | 5 | 63 | 27 | 25 |
| Kevin Siegrist | L | 25 | 57 | 0 | 52.0 | 62 | 23 | 5 | 42 | 20 | 19 |
| Seth Maness | R | 26 | 76 | 0 | 78.3 | 53 | 15 | 7 | 78 | 33 | 31 |
| Sam Freeman | L | 28 | 61 | 0 | 68.0 | 59 | 29 | 5 | 63 | 29 | 27 |
| Joseph Donofrio | R | 26 | 42 | 0 | 55.3 | 52 | 22 | 5 | 50 | 24 | 22 |
| Ryan Sherriff | L | 25 | 30 | 10 | 81.0 | 45 | 27 | 8 | 87 | 42 | 39 |
| Dixon Llorens | R | 22 | 39 | 0 | 47.7 | 62 | 33 | 4 | 36 | 20 | 19 |
| John Gast | L | 26 | 16 | 16 | 82.7 | 51 | 33 | 9 | 87 | 45 | 42 |
| Miguel Socolovich | R | 28 | 39 | 0 | 49.3 | 46 | 17 | 5 | 46 | 21 | 20 |
| Tyler Waldron | R | 26 | 22 | 9 | 69.3 | 44 | 23 | 7 | 74 | 36 | 34 |
| Dean Kiekhefer | L | 26 | 49 | 0 | 66.7 | 44 | 11 | 6 | 69 | 30 | 28 |
| Randy Choate | L | 39 | 54 | 0 | 30.0 | 26 | 10 | 2 | 26 | 13 | 12 |
| Lee Stoppelman | L | 25 | 46 | 0 | 52.0 | 49 | 25 | 5 | 47 | 25 | 23 |
| Keith Butler | R | 26 | 34 | 0 | 38.0 | 32 | 17 | 3 | 36 | 18 | 17 |
| Jeremy Berg | R | 28 | 53 | 0 | 73.0 | 51 | 21 | 7 | 74 | 35 | 33 |
| Marcus Hatley | R | 27 | 47 | 0 | 55.7 | 51 | 26 | 6 | 52 | 28 | 26 |
| David Aardsma | R | 33 | 35 | 0 | 35.3 | 31 | 19 | 4 | 33 | 18 | 17 |
| Heath Wyatt | R | 26 | 51 | 0 | 66.0 | 38 | 22 | 6 | 70 | 33 | 31 |
| Jose Almarante | R | 26 | 28 | 0 | 40.7 | 30 | 18 | 4 | 41 | 21 | 20 |
| Nick Greenwood | L | 27 | 43 | 8 | 84.0 | 43 | 26 | 10 | 92 | 47 | 44 |
| Justin Wright | L | 25 | 50 | 0 | 58.7 | 44 | 31 | 6 | 59 | 32 | 30 |
***
Pitchers, Rates and Averages
| Player | IP | TBF | K% | BB% | BABIP | ERA | FIP | ERA- | FIP- |
|---|---|---|---|---|---|---|---|---|---|
| Adam Wainwright | 203.7 | 835 | 21.0% | 5.0% | .282 | 2.92 | 2.90 | 79 | 79 |
| Lance Lynn | 192.7 | 820 | 22.4% | 8.4% | .292 | 3.27 | 3.36 | 89 | 91 |
| John Lackey | 175.7 | 736 | 19.4% | 5.2% | .282 | 3.64 | 3.75 | 99 | 102 |
| Michael Wacha | 129.3 | 541 | 22.0% | 7.0% | .283 | 3.27 | 3.39 | 89 | 92 |
| Carlos Martinez | 150.0 | 647 | 19.8% | 7.9% | .302 | 3.66 | 3.22 | 100 | 88 |
| Marco Gonzales | 108.3 | 464 | 20.0% | 7.8% | .288 | 3.74 | 3.84 | 102 | 104 |
| Trevor Rosenthal | 77.7 | 323 | 31.9% | 9.9% | .298 | 2.55 | 2.62 | 69 | 71 |
| Tyler Lyons | 132.3 | 564 | 18.3% | 6.4% | .290 | 3.94 | 3.92 | 107 | 107 |
| Tim Cooney | 149.3 | 642 | 16.4% | 6.1% | .292 | 4.10 | 4.14 | 112 | 113 |
| Zachary Petrick | 118.0 | 510 | 17.1% | 7.5% | .289 | 4.04 | 4.01 | 110 | 109 |
| Boone Whiting | 101.3 | 443 | 18.7% | 9.0% | .291 | 4.09 | 4.23 | 111 | 115 |
| Jaime Garcia | 77.7 | 331 | 18.7% | 5.7% | .293 | 4.06 | 3.85 | 110 | 105 |
| Mike Mayers | 147.7 | 644 | 14.7% | 6.2% | .297 | 4.45 | 4.31 | 121 | 117 |
| Jordan Walden | 49.7 | 211 | 27.9% | 10.4% | .285 | 3.08 | 3.00 | 84 | 82 |
| Samuel Tuivailala | 54.7 | 237 | 28.3% | 12.2% | .298 | 3.29 | 3.33 | 90 | 91 |
| Matt Belisle | 65.7 | 277 | 18.8% | 6.1% | .287 | 3.43 | 3.22 | 93 | 88 |
| Kevin Siegrist | 52.0 | 221 | 28.1% | 10.4% | .287 | 3.29 | 3.43 | 90 | 93 |
| Seth Maness | 78.3 | 328 | 16.2% | 4.6% | .283 | 3.56 | 3.39 | 97 | 92 |
| Sam Freeman | 68.0 | 296 | 19.9% | 9.8% | .293 | 3.57 | 3.85 | 97 | 105 |
| Joseph Donofrio | 55.3 | 238 | 21.9% | 9.2% | .289 | 3.58 | 3.72 | 97 | 101 |
| Ryan Sherriff | 81.0 | 357 | 12.6% | 7.6% | .290 | 4.33 | 4.41 | 118 | 120 |
| Dixon Llorens | 47.7 | 212 | 29.2% | 15.6% | .291 | 3.59 | 3.82 | 98 | 104 |
| John Gast | 82.7 | 368 | 13.9% | 9.0% | .289 | 4.57 | 4.65 | 124 | 126 |
| Miguel Socolovich | 49.3 | 211 | 21.8% | 8.1% | .291 | 3.65 | 3.73 | 99 | 102 |
| Tyler Waldron | 69.3 | 305 | 14.4% | 7.5% | .295 | 4.41 | 4.34 | 120 | 118 |
| Dean Kiekhefer | 66.7 | 280 | 15.7% | 3.9% | .293 | 3.78 | 3.60 | 103 | 98 |
| Randy Choate | 30.0 | 126 | 20.6% | 7.9% | .282 | 3.60 | 3.46 | 98 | 94 |
| Lee Stoppelman | 52.0 | 228 | 21.5% | 11.0% | .288 | 3.98 | 4.05 | 108 | 110 |
| Keith Butler | 38.0 | 167 | 19.2% | 10.2% | .295 | 4.03 | 3.97 | 110 | 108 |
| Jeremy Berg | 73.0 | 314 | 16.2% | 6.7% | .290 | 4.07 | 3.96 | 111 | 108 |
| Marcus Hatley | 55.7 | 245 | 20.8% | 10.6% | .289 | 4.20 | 4.09 | 114 | 111 |
| David Aardsma | 35.3 | 158 | 19.6% | 12.0% | .287 | 4.33 | 4.46 | 118 | 121 |
| Heath Wyatt | 66.0 | 290 | 13.1% | 7.6% | .291 | 4.23 | 4.20 | 115 | 114 |
| Jose Almarante | 40.7 | 181 | 16.6% | 9.9% | .293 | 4.43 | 4.40 | 121 | 120 |
| Nick Greenwood | 84.0 | 370 | 11.6% | 7.0% | .286 | 4.71 | 4.65 | 128 | 126 |
| Justin Wright | 58.7 | 266 | 16.5% | 11.6% | .293 | 4.60 | 4.69 | 125 | 128 |
***
Pitchers, Assorted Other
| Player | IP | K/9 | BB/9 | HR/9 | ERA+ | zWAR | No. 1 Comp |
|---|---|---|---|---|---|---|---|
| Adam Wainwright | 203.7 | 7.73 | 1.86 | 0.57 | 129 | 5.0 | Rick Reuschel |
| Lance Lynn | 192.7 | 8.59 | 3.22 | 0.65 | 115 | 3.8 | Tom Gordon |
| John Lackey | 175.7 | 7.32 | 1.95 | 1.08 | 103 | 2.6 | Scott Sanderson |
| Michael Wacha | 129.3 | 8.28 | 2.65 | 0.77 | 115 | 2.5 | Roy Oswalt |
| Carlos Martinez | 150.0 | 7.68 | 3.06 | 0.54 | 103 | 2.2 | Matt Clement |
| Marco Gonzales | 108.3 | 7.73 | 2.99 | 0.91 | 100 | 1.5 | Blaise Ilsley |
| Trevor Rosenthal | 77.7 | 11.93 | 3.71 | 0.58 | 147 | 1.5 | Mark Wohlers |
| Tyler Lyons | 132.3 | 7.01 | 2.45 | 0.95 | 95 | 1.4 | Matt Ruebel |
| Tim Cooney | 149.3 | 6.33 | 2.35 | 1.02 | 92 | 1.4 | Derrin Ebert |
| Zachary Petrick | 118.0 | 6.64 | 2.90 | 0.92 | 93 | 1.1 | Jackie Davidson |
| Boone Whiting | 101.3 | 7.37 | 3.55 | 0.98 | 92 | 0.9 | Greg Aquino |
| Jaime Garcia | 77.7 | 7.18 | 2.20 | 1.04 | 93 | 0.7 | Mike Sirotka |
| Mike Mayers | 147.7 | 5.79 | 2.44 | 1.04 | 84 | 0.7 | Mike Christopher |
| Jordan Walden | 49.7 | 10.68 | 3.98 | 0.72 | 122 | 0.6 | Ryne Duren |
| Samuel Tuivailala | 54.7 | 11.02 | 4.77 | 0.66 | 114 | 0.5 | Eric Cammack |
| Matt Belisle | 65.7 | 7.12 | 2.33 | 0.68 | 110 | 0.5 | Mark Williamson |
| Kevin Siegrist | 52.0 | 10.73 | 3.98 | 0.87 | 114 | 0.5 | Darren Oliver |
| Seth Maness | 78.3 | 6.09 | 1.72 | 0.80 | 105 | 0.4 | Jeff Tam |
| Sam Freeman | 68.0 | 7.81 | 3.84 | 0.66 | 105 | 0.4 | Matt Dunbar |
| Joseph Donofrio | 55.3 | 8.46 | 3.58 | 0.81 | 105 | 0.3 | Kevin Barry |
| Ryan Sherriff | 81.0 | 5.00 | 3.00 | 0.89 | 87 | 0.3 | Mike Gallo |
| Dixon Llorens | 47.7 | 11.70 | 6.23 | 0.75 | 105 | 0.2 | Brian Bruney |
| John Gast | 82.7 | 5.55 | 3.59 | 0.98 | 82 | 0.2 | John Courtright |
| Miguel Socolovich | 49.3 | 8.40 | 3.10 | 0.91 | 103 | 0.2 | Jose Veras |
| Tyler Waldron | 69.3 | 5.71 | 2.99 | 0.91 | 85 | 0.2 | Juan Sandoval |
| Dean Kiekhefer | 66.7 | 5.94 | 1.48 | 0.81 | 99 | 0.2 | Chris Key |
| Randy Choate | 30.0 | 7.80 | 3.00 | 0.60 | 104 | 0.2 | Brian Shouse |
| Lee Stoppelman | 52.0 | 8.48 | 4.33 | 0.87 | 94 | 0.0 | Scott Wiggins |
| Keith Butler | 38.0 | 7.58 | 4.03 | 0.71 | 93 | 0.0 | Steve LaRose |
| Jeremy Berg | 73.0 | 6.29 | 2.59 | 0.86 | 92 | -0.1 | Dennis Tafoya |
| Marcus Hatley | 55.7 | 8.24 | 4.20 | 0.97 | 89 | -0.2 | Doug Robertson |
| David Aardsma | 35.3 | 7.90 | 4.84 | 1.02 | 87 | -0.2 | Archie Corbin |
| Heath Wyatt | 66.0 | 5.18 | 3.00 | 0.82 | 89 | -0.2 | Robert Paulk |
| Jose Almarante | 40.7 | 6.63 | 3.98 | 0.88 | 85 | -0.2 | Paul Schneider |
| Nick Greenwood | 84.0 | 4.61 | 2.79 | 1.07 | 80 | -0.3 | Corey Hamman |
| Justin Wright | 58.7 | 6.75 | 4.75 | 0.92 | 82 | -0.5 | Mike Venafro |
***
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 2014. 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 3.93 ERA and the NL having a 3.75 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 zWAR — which is to say, WAR values as calculated by Dan Szymborski, whose surname is spelled with a z. WAR values might differ slightly from those which appear in full release of ZiPS. Finally, Szymborski will advise anyone against — and might karate chop anyone guilty of — merely adding up WAR totals on depth chart to produce projected team WAR.
Carson Cistulli has published a book of aphorisms called Spirited Ejaculations of a New Enthusiast.

Normally, on the site, yes, Def accounts both for UZR and positional adjustment. ZiPS has a little bit of its own language, however. Def here denotes only defensive runs saved or UZR or the equivalent. That plus positional adjustment are all still included in the WAR projections published here, though.
Regarding Matt Adams and his defense. It is hard to take defensive metrics seriously, and projections even more. Somebody please explain to me the rationale for estimating Adams to be a -8 runs saved in 2015, when in 2014 he was a +8.
He is too young to regress. What I fear is that those who do not watch him play everyday, think of him as some fat dude, with no range or hands. Plus, he improved in 2014 over his play the previous year. I just don’t get it!
Can I bet the under on Wainwright’s projection?
As long as you’re also willing to bet the over on the Adams/Reynolds combo at 1b.
They’re their there
Bah! Repaired. Thanks.
Their/there/they’re, Carson!
I’m curious about your Heyward projection:does Zips see something that would indicate a decrease in power/sb specifically because of certain variables, or is it just based on decreased offensive numbers overall thoroughout baseball? And thanks for all the fantastic work you do Dan and making me laugh daily on Twitter.
Nothing too specific – ZiPS just sees Heyward’s power ceiling dropping a little every year. While he has been amazing defensively, he still hasn’t matched how he hit at age 20 and more than injuries are likely to blame.
Wouldn’t that be outweighed by the general upward aging curve of power into age 30ish?
I would think the general (power increasing toward around 30 or so) would be outweighed by the specific (Heyward’s hitting peaking at 20, at least thus far in his career)
Is there any way to see what positions a player is projected at?
Disdain and respect all at once.
Why does ZIPs see Martinez underperforming his FIP that badly?
Shout out to Zips for the Matt Adams/Rico Brogna comp.
Heyward-Greer
Wainwright-Rueschel
Who woulda come up with those odd couples?
I have trouble gleaning much from the counting stats table. It’s hard to get much perspective on performance without walks (or walk rate) and a rate stat, like batting average. The choices then are to do complicated math in your head, or to page down to view the rates for each batter, and then back up. For pitchers, too.
I don’t mean it as criticism, just feedback. If other readers feel similarly, maybe the table can be constructed differently.
If you don’t like it, don’t read it. It’s that simple.
If you don’t like his comment, don’t respond to it. It’s that simple.
Peralta + Wainwright projection
ZiPS: 8.7
Steamer: 5.5
Worth keeping an eye on.
Beyond the box score just reviewed the 2014 projections, zips was best overall and clearly better on established veterans. Fwiw.
The reviews I’ve seen suggest the differences are quite small, even though they are existent.
Why does everyone just assume Martinez will be the 5th starter? It’s a competition between him and Gonzales (and Garcia if he’s actually healthy).
Personally, I’d like to see Gonzales win the job, as we could use another hard-throwing righty (who doesn’t also walk a ton of batters) in the bullpen much more than another lefty, plus I’d like to see Gonzales have a shot at 2015 NL Rookie of the Year.
It’s just that Martinez had a higher percentage of getting the job. His stuff is better and has a higher ceiling. He also has the experience, and less cost controlled years left, so the Cardinals want to get the most of that.
That’s not to say anything against Gonzales though. It’ll still be a competition in spring training for the job, but Gonzales would serve better in the bullpen especially considering the question marks concerning Cardinals LHP relief.
Carlos will win the job because they traded Miller instead of him. Atl wanted him, and we said no. Because of this, and because they have been wanting to give him a chance for several years, even though I believe Marco may be the better pitcher, it’s time to let Carlos see what he can do with full support. He will get that.
I agree with most of these projections, except I think it’s selling us short at first base. From all indications, Adams flashes an above-average glove at 1B, and he’s developing into an excellent power hitter who also hits for a pretty good average. He’s young and inexperienced enough to possibly significantly improve his numbers against lefties, and even if he doesn’t you should only expect Reynolds to see about as much playing time (outside of a major injury to Adams or Carpenter) as Grichuk gets filling in for Heyward against the tough lefties.
You might turn out to be right, but presumably the projections have to account for the fact that Adams decreased his slugging significantly in 2014 as compared to 2013.
Adams also “beat the shift” a ton last year. His BABIP won’t stay high. And he doesn’t walk at all.
He beat the shift because he is smart and takes the ball the other way against the shift. Later in the year a number of teams dropped the shift entirely.
Now you can suggest that by not shifting in 2015 his BABIP, could suffer, but then he can and will adjust to this too.
Question: How does ZIPS come up with the projected BABIP? I see it is .268 for the young Cardinal prospect, Jacob Wilson, who some compare to a lighter version of Allan Craig. Yet, Wilson had three stops this year in the MiLB, in which he had a BABIP of .337; .347; .360. Isn’t this .268 BABIP projection kind of low, or is there some kind of formula for this? It looks like guesswork to me. Thanks.
I would venture a guess to say that ZIPS projects a lower BABIP for major league players because the pitchers and fielders are both better. Also, ZIPS doesn’t project anomalies, just expected means. All of the projected BABIPs fall in a range of about .05.
Beyond that, I can’t account for the huge gulf in Wilson’s projection.