2015 ZiPS Projections – Boston Red Sox
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 Boston Red Sox. Szymborski can be found at ESPN and on Twitter at @DSzymborski.
Other Projections: Arizona / Atlanta / Chicago AL / Chicago NL / Cleveland / Colorado / Detroit / Houston / Los Angeles AL / Los Angeles NL / Miami / Milwaukee / Minnesota / New York NL / Oakland / San Diego / San Francisco / St. Louis / Tampa Bay / Washington
Batters
Despite the considerable investments made by the club both in Hanley Ramirez and Pablo Sandoval this offseason — amounting to nearly $200 million collectively, those contracts — the top WAR projection among all Red Sox players belongs to their second-round pick from the 2004 draft. Dustin Pedroia produced the lowest slugging and isolated-power figures (.376 and .098, respectively) of his career last year, while also recording a career-worst strikeout rate (12.3%). ZiPS calls for Pedroia to find some positive regression in all three areas while still retaining his elite second-base defense.
Probably also capable of providing if not elite, then at least above-average, second-base defense is Mookie Betts. Owing to the continued employment by the club of Pedroia, however, Betts will be forced to supply above-average defense elsewhere. In this case, the most likely destination is right field. It would fair to say that Betts doesn’t possess the typical right-field profile, featuring less power and size than most who play the position. He has excellent plate-discipline skills, however, plus speed and non-negligible power on contact. Note that Betts’ defensive projection below (of -1 runs) is for center field. The equivalent in right would be about +6 or +7 runs saved.
Pitchers
As noted by Dave Cameron last Thursday, Rick Porcello isn’t necessarily the pitcher one conjures up when endeavoring to identify an obvious No. 1 starter for a postseason contender. ZiPS is optimistic that he can at least fake it for the time being, however. Despite having never posted above a 3.2 WAR in any season, Porcello is projected to produce a 3.5 WAR for Boston in 2015. This is unusual, of course. Projections systems are marked, if anything, by the application of regression to a player’s performances. To project a career year, then, is by definition atypical.
A hasty inspection of the ZiPS projections published here at the site so far reveals only two pitchers — Clayton Kershaw (60 ERA-) and Craig Kimbrel (42 ERA-) — to receive a better ERA forecast relative to park and league than Koji Uehara. That group will likely receive at least one more member — after Cincinnati’s projections are published, for example — but the point remains that Uehara continues to profile as one of the league’s best pitchers on a per-inning basis.
Bench/Prospects
Outfielder Shane Victorino (402 PA, 1.2 WAR) is omitted from the depth-chart image below, but will almost certainly play something larger than a typical bench role. The same sentiment probably applies to Allen Craig (506 PA, 0.5 WAR) and, merely because his defense is so good, Jackie Bradley Jr. (505 PA, 0.7 WAR). Catcher Blake Swihart (461 PA, 1.9 WAR) receives the top WAR projection among batting prospects. Rookie-eligible pitchers Matt Barnes, Edwin Escobar, Henry Owens, and Eduardo Rodriguez — all four of them — receive a projection better than 1.0 WAR.
Depth Chart
Below is a rough depth chart for the present incarnation of the Red Sox, 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dustin Pedroia | R | 31 | 2B | 642 | 75 | 161 | 34 | 1 | 10 | 62 | 12 | 6 |
| Mookie Betts | R | 22 | CF | 653 | 88 | 156 | 36 | 4 | 13 | 65 | 30 | 8 |
| David Ortiz | L | 39 | DH | 537 | 59 | 129 | 27 | 1 | 29 | 88 | 1 | 0 |
| Pablo Sandoval | B | 28 | 3B | 588 | 70 | 150 | 31 | 3 | 19 | 83 | 0 | 1 |
| Hanley Ramirez | R | 31 | LF | 495 | 67 | 120 | 31 | 1 | 16 | 70 | 14 | 5 |
| Rusney Castillo | R | 27 | CF | 583 | 66 | 144 | 24 | 3 | 11 | 50 | 21 | 9 |
| Xander Bogaerts | R | 22 | SS | 607 | 69 | 144 | 30 | 4 | 14 | 53 | 5 | 3 |
| Mike Napoli | R | 33 | 1B | 467 | 50 | 95 | 20 | 1 | 19 | 54 | 2 | 1 |
| Blake Swihart | B | 23 | C | 461 | 47 | 105 | 25 | 3 | 8 | 45 | 5 | 4 |
| Christian Vazquez | R | 24 | C | 460 | 44 | 102 | 22 | 0 | 4 | 38 | 2 | 3 |
| Ryan Hanigan | R | 34 | C | 286 | 21 | 59 | 11 | 0 | 4 | 29 | 0 | 0 |
| Garin Cecchini | L | 24 | 3B | 541 | 59 | 125 | 28 | 3 | 6 | 47 | 16 | 5 |
| Shane Victorino | R | 34 | RF | 402 | 47 | 95 | 18 | 3 | 8 | 37 | 15 | 2 |
| Daniel Nava | B | 32 | RF | 455 | 49 | 103 | 23 | 0 | 7 | 44 | 3 | 2 |
| Brock Holt! | L | 27 | 3B | 581 | 69 | 141 | 25 | 5 | 4 | 43 | 14 | 6 |
| Sean Coyle | R | 23 | 2B | 376 | 45 | 79 | 17 | 1 | 14 | 40 | 10 | 2 |
| Deven Marrero | R | 24 | SS | 468 | 46 | 99 | 21 | 1 | 4 | 34 | 16 | 6 |
| Jackie Bradley Jr. | L | 25 | CF | 505 | 58 | 103 | 25 | 2 | 7 | 41 | 10 | 5 |
| Jemile Weeks | B | 28 | 2B | 496 | 56 | 108 | 22 | 6 | 2 | 31 | 13 | 4 |
| Allen Craig | R | 30 | RF | 506 | 55 | 119 | 26 | 1 | 13 | 64 | 2 | 1 |
| Luke Montz | R | 31 | C | 214 | 23 | 39 | 10 | 0 | 7 | 27 | 1 | 1 |
| Ryan Roberts | R | 34 | 2B | 365 | 38 | 77 | 17 | 1 | 7 | 34 | 5 | 4 |
| Manuel Margot | R | 20 | CF | 503 | 52 | 113 | 22 | 3 | 9 | 43 | 29 | 21 |
| Bryce Brentz | R | 26 | LF | 419 | 46 | 95 | 20 | 1 | 13 | 45 | 2 | 2 |
| Mike McCoy | R | 34 | SS | 360 | 35 | 67 | 14 | 1 | 2 | 24 | 12 | 5 |
| Travis Shaw | L | 25 | 1B | 550 | 57 | 112 | 27 | 2 | 14 | 52 | 6 | 3 |
| Justin Henry | L | 30 | 2B | 387 | 34 | 84 | 14 | 3 | 1 | 26 | 9 | 5 |
| Jeff Bianchi | R | 28 | SS | 321 | 28 | 69 | 13 | 1 | 3 | 28 | 6 | 3 |
| Brandon Snyder | R | 28 | 1B | 242 | 24 | 51 | 12 | 0 | 7 | 24 | 1 | 0 |
| Keury de la Cruz | L | 23 | LF | 437 | 40 | 99 | 22 | 2 | 8 | 41 | 7 | 6 |
| Henry Ramos | B | 23 | RF | 370 | 35 | 79 | 15 | 2 | 7 | 31 | 5 | 9 |
| Blake Tekotte | L | 28 | RF | 379 | 38 | 72 | 20 | 3 | 8 | 34 | 8 | 6 |
***
Batters, Rates and Averages
| Player | PA | BB% | K% | ISO | BABIP | AVG | OBP | SLG | wOBA |
|---|---|---|---|---|---|---|---|---|---|
| Dustin Pedroia | 642 | 8.6% | 11.5% | .114 | .301 | .278 | .340 | .392 | .323 |
| Mookie Betts | 653 | 9.2% | 13.0% | .142 | .292 | .266 | .336 | .408 | .335 |
| David Ortiz | 537 | 11.9% | 16.4% | .249 | .282 | .277 | .363 | .526 | .361 |
| Pablo Sandoval | 588 | 6.6% | 14.5% | .175 | .297 | .279 | .328 | .454 | .335 |
| Hanley Ramirez | 495 | 9.3% | 19.2% | .184 | .312 | .271 | .345 | .455 | .351 |
| Rusney Castillo | 583 | 5.8% | 14.1% | .117 | .300 | .269 | .326 | .386 | .320 |
| Xander Bogaerts | 607 | 7.2% | 21.4% | .146 | .317 | .263 | .322 | .409 | .321 |
| Mike Napoli | 467 | 13.9% | 29.1% | .200 | .314 | .241 | .353 | .441 | .350 |
| Blake Swihart | 461 | 5.4% | 21.0% | .128 | .294 | .242 | .284 | .370 | .287 |
| Christian Vazquez | 460 | 7.6% | 19.6% | .082 | .302 | .246 | .305 | .328 | .280 |
| Ryan Hanigan | 286 | 11.2% | 12.9% | .093 | .266 | .240 | .335 | .333 | .292 |
| Garin Cecchini | 541 | 8.3% | 22.7% | .107 | .330 | .256 | .325 | .363 | .311 |
| Shane Victorino | 402 | 6.0% | 14.7% | .132 | .291 | .261 | .317 | .393 | .318 |
| Daniel Nava | 455 | 8.6% | 20.2% | .110 | .316 | .258 | .339 | .368 | .316 |
| Brock Holt! | 581 | 6.5% | 17.7% | .088 | .321 | .267 | .318 | .355 | .299 |
| Sean Coyle | 376 | 7.2% | 32.4% | .179 | .313 | .232 | .293 | .411 | .312 |
| Deven Marrero | 468 | 6.8% | 22.4% | .082 | .294 | .230 | .285 | .312 | .271 |
| Jackie Bradley Jr. | 505 | 8.1% | 25.7% | .111 | .302 | .228 | .302 | .339 | .288 |
| Jemile Weeks | 496 | 8.9% | 16.1% | .092 | .296 | .247 | .321 | .339 | .296 |
| Allen Craig | 506 | 6.7% | 21.3% | .145 | .307 | .258 | .314 | .403 | .317 |
| Luke Montz | 214 | 8.9% | 29.9% | .162 | .262 | .204 | .280 | .366 | .285 |
| Ryan Roberts | 365 | 7.7% | 21.1% | .120 | .280 | .232 | .292 | .352 | .284 |
| Manuel Margot | 503 | 6.0% | 19.1% | .119 | .289 | .244 | .292 | .363 | .284 |
| Bryce Brentz | 419 | 6.2% | 29.1% | .157 | .322 | .245 | .296 | .402 | .307 |
| Mike McCoy | 360 | 9.4% | 19.2% | .070 | .264 | .213 | .292 | .283 | .259 |
| Travis Shaw | 550 | 9.1% | 26.0% | .147 | .288 | .227 | .300 | .374 | .301 |
| Justin Henry | 387 | 7.5% | 15.0% | .066 | .282 | .239 | .299 | .305 | .270 |
| Jeff Bianchi | 321 | 5.0% | 22.1% | .080 | .291 | .231 | .270 | .311 | .258 |
| Brandon Snyder | 242 | 5.0% | 30.6% | .147 | .303 | .228 | .277 | .375 | .290 |
| Keury de la Cruz | 437 | 3.7% | 27.5% | .120 | .311 | .237 | .263 | .357 | .270 |
| Henry Ramos | 370 | 5.7% | 24.6% | .117 | .291 | .230 | .277 | .347 | .270 |
| Blake Tekotte | 379 | 6.6% | 30.3% | .145 | .286 | .209 | .269 | .354 | .274 |
***
Batters, Assorted Other
| Player | PA | RC/27 | OPS+ | Def | zWAR | No.1 Comp |
|---|---|---|---|---|---|---|
| Dustin Pedroia | 642 | 5.0 | 101 | 12 | 3.8 | Billy Herman |
| Mookie Betts | 653 | 5.3 | 104 | -1 | 3.1 | Andrew McCutchen |
| David Ortiz | 537 | 7.2 | 141 | 0 | 2.9 | Rafael Palmeiro |
| Pablo Sandoval | 588 | 5.5 | 112 | -1 | 2.8 | Aramis Ramirez |
| Hanley Ramirez | 495 | 5.9 | 118 | 4 | 2.7 | Bernard Gilkey |
| Rusney Castillo | 583 | 4.7 | 100 | 3 | 2.4 | Mike Devereaux |
| Xander Bogaerts | 607 | 4.8 | 100 | -5 | 2.3 | Jhonny Peralta |
| Mike Napoli | 467 | 5.5 | 117 | 4 | 2.0 | Greg Luzinski |
| Blake Swihart | 461 | 3.7 | 78 | 7 | 1.9 | Tim Laker |
| Christian Vazquez | 460 | 3.5 | 74 | 6 | 1.6 | Maxim St. Pierre |
| Ryan Hanigan | 286 | 4.0 | 85 | 3 | 1.4 | Gene Desautels |
| Garin Cecchini | 541 | 4.4 | 89 | -2 | 1.3 | Ernest Riles |
| Shane Victorino | 402 | 4.9 | 94 | 4 | 1.2 | Dan Gladden |
| Daniel Nava | 455 | 4.5 | 95 | 4 | 1.1 | Jason Michaels |
| Brock Holt! | 581 | 4.2 | 85 | 0 | 1.1 | Jose Vizcaino |
| Sean Coyle | 376 | 4.4 | 91 | -1 | 1.0 | Gary Gaetti |
| Deven Marrero | 468 | 3.2 | 64 | 6 | 0.9 | Andre Wood |
| Jackie Bradley Jr. | 505 | 3.6 | 76 | 3 | 0.7 | Kevin Romine |
| Jemile Weeks | 496 | 4.0 | 82 | -3 | 0.6 | Nelson Liriano |
| Allen Craig | 506 | 4.6 | 96 | -2 | 0.5 | Rondell White |
| Luke Montz | 214 | 3.4 | 76 | -2 | 0.3 | Steve Yeager |
| Ryan Roberts | 365 | 3.5 | 76 | 0 | 0.2 | Webster Garrison |
| Manuel Margot | 503 | 3.5 | 79 | -2 | 0.1 | Lou Collier |
| Bryce Brentz | 419 | 4.2 | 90 | -3 | 0.0 | Walter Young |
| Mike McCoy | 360 | 2.9 | 59 | -1 | -0.1 | Rabbit Warstler |
| Travis Shaw | 550 | 3.9 | 84 | 3 | -0.2 | Chris Weinke |
| Justin Henry | 387 | 3.2 | 67 | 0 | -0.2 | Chris DeLaCruz |
| Jeff Bianchi | 321 | 3.0 | 60 | 0 | -0.2 | Steve Sisco |
| Brandon Snyder | 242 | 3.7 | 77 | 1 | -0.3 | Fred McNair |
| Keury de la Cruz | 437 | 3.2 | 69 | 1 | -1.0 | James Hall |
| Henry Ramos | 370 | 3.0 | 70 | -2 | -1.2 | Felix Jose |
| Blake Tekotte | 379 | 3.1 | 69 | -4 | -1.2 | James Clifford |
***
Pitchers, Counting Stats
| Player | T | Age | G | GS | IP | K | BB | HR | H | R | ER |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Rick Porcello | R | 26 | 31 | 29 | 183.7 | 131 | 42 | 17 | 185 | 81 | 76 |
| Wade Miley | L | 28 | 31 | 30 | 186.7 | 155 | 63 | 19 | 184 | 87 | 81 |
| Clay Buchholz | R | 30 | 25 | 25 | 153.3 | 118 | 50 | 17 | 152 | 76 | 71 |
| Edwin Escobar | L | 23 | 26 | 24 | 138.3 | 113 | 39 | 17 | 138 | 67 | 63 |
| Justin Masterson | R | 30 | 29 | 26 | 157.7 | 134 | 71 | 14 | 150 | 80 | 75 |
| Henry Owens | L | 22 | 26 | 26 | 138.7 | 132 | 70 | 17 | 130 | 71 | 66 |
| Joe Kelly | R | 27 | 28 | 20 | 124.0 | 83 | 49 | 12 | 125 | 62 | 58 |
| Matt Barnes | R | 25 | 25 | 22 | 121.7 | 94 | 46 | 13 | 124 | 62 | 58 |
| Eduardo Rodriguez | R | 22 | 23 | 23 | 122.7 | 89 | 44 | 12 | 128 | 63 | 59 |
| Koji Uehara | R | 40 | 59 | 0 | 56.7 | 69 | 9 | 7 | 44 | 17 | 16 |
| Anthony Ranaudo | R | 25 | 24 | 24 | 125.3 | 82 | 52 | 16 | 129 | 68 | 64 |
| Dana Eveland | L | 31 | 34 | 10 | 85.0 | 67 | 31 | 9 | 85 | 42 | 39 |
| Junichi Tazawa | R | 29 | 69 | 0 | 68.0 | 68 | 19 | 6 | 62 | 27 | 25 |
| Brandon Workman | R | 26 | 30 | 22 | 130.7 | 106 | 44 | 20 | 135 | 72 | 67 |
| Brian Johnson | L | 24 | 23 | 23 | 108.3 | 81 | 47 | 14 | 109 | 59 | 55 |
| Zeke Spruill | R | 25 | 30 | 19 | 120.7 | 75 | 42 | 13 | 131 | 66 | 62 |
| Burke Badenhop | R | 32 | 65 | 0 | 63.0 | 42 | 15 | 5 | 64 | 27 | 25 |
| Ryan Dempster | R | 38 | 18 | 16 | 93.3 | 77 | 41 | 15 | 96 | 54 | 50 |
| Tom Layne | L | 30 | 62 | 0 | 59.0 | 51 | 29 | 5 | 54 | 27 | 25 |
| Anthony Varvaro | R | 30 | 57 | 0 | 58.7 | 46 | 24 | 5 | 56 | 27 | 25 |
| Heath Hembree | R | 26 | 57 | 0 | 57.7 | 55 | 23 | 6 | 54 | 27 | 25 |
| Edward Mujica | R | 31 | 63 | 0 | 58.7 | 43 | 12 | 7 | 60 | 28 | 26 |
| Noe Ramirez | R | 25 | 42 | 0 | 62.0 | 46 | 20 | 6 | 62 | 30 | 28 |
| Steven Wright | R | 30 | 22 | 19 | 113.7 | 72 | 57 | 15 | 123 | 70 | 65 |
| Drake Britton | L | 26 | 41 | 10 | 94.0 | 62 | 48 | 10 | 99 | 55 | 51 |
| Jandel Gustave | R | 22 | 19 | 13 | 70.3 | 47 | 35 | 9 | 76 | 43 | 40 |
| Craig Breslow | L | 34 | 59 | 0 | 55.0 | 40 | 24 | 6 | 56 | 29 | 27 |
| Ryan Verdugo | L | 28 | 21 | 15 | 81.3 | 60 | 44 | 12 | 85 | 50 | 47 |
| Mike Augliera | R | 25 | 23 | 22 | 114.7 | 52 | 27 | 17 | 136 | 72 | 67 |
| Robby Scott | L | 25 | 30 | 0 | 50.3 | 34 | 21 | 6 | 53 | 29 | 27 |
| Casey Crosby | L | 26 | 15 | 10 | 53.0 | 36 | 44 | 8 | 57 | 39 | 36 |
| Mitchell Boggs | R | 31 | 52 | 0 | 61.7 | 33 | 31 | 7 | 68 | 39 | 36 |
| Nestor Molina | R | 26 | 32 | 7 | 68.0 | 37 | 27 | 13 | 82 | 48 | 45 |
***
Pitchers, Rates and Averages
| Player | IP | TBF | K% | BB% | BABIP | ERA | FIP | ERA- | FIP- |
|---|---|---|---|---|---|---|---|---|---|
| Rick Porcello | 183.7 | 778 | 16.8% | 5.4% | .288 | 3.72 | 3.59 | 91 | 88 |
| Wade Miley | 186.7 | 807 | 19.2% | 7.8% | .291 | 3.91 | 3.82 | 96 | 93 |
| Clay Buchholz | 153.3 | 662 | 17.8% | 7.6% | .287 | 4.17 | 4.13 | 102 | 101 |
| Edwin Escobar | 138.3 | 592 | 19.1% | 6.6% | .291 | 4.10 | 4.07 | 100 | 100 |
| Justin Masterson | 157.7 | 694 | 19.3% | 10.2% | .295 | 4.28 | 4.18 | 105 | 102 |
| Henry Owens | 138.7 | 616 | 21.4% | 11.4% | .290 | 4.28 | 4.51 | 105 | 110 |
| Joe Kelly | 124.0 | 546 | 15.2% | 9.0% | .285 | 4.21 | 4.33 | 103 | 106 |
| Matt Barnes | 121.7 | 535 | 17.6% | 8.6% | .295 | 4.29 | 4.26 | 105 | 104 |
| Eduardo Rodriguez | 122.7 | 540 | 16.5% | 8.1% | .299 | 4.33 | 4.17 | 106 | 102 |
| Koji Uehara | 56.7 | 223 | 30.9% | 4.0% | .270 | 2.54 | 2.78 | 62 | 68 |
| Anthony Ranaudo | 125.3 | 557 | 14.7% | 9.3% | .281 | 4.60 | 4.85 | 113 | 119 |
| Dana Eveland | 85.0 | 371 | 18.1% | 8.4% | .296 | 4.13 | 4.20 | 101 | 103 |
| Junichi Tazawa | 68.0 | 285 | 23.9% | 6.7% | .293 | 3.31 | 3.12 | 81 | 76 |
| Brandon Workman | 130.7 | 571 | 18.6% | 7.7% | .290 | 4.61 | 4.60 | 113 | 113 |
| Brian Johnson | 108.3 | 481 | 16.8% | 9.8% | .286 | 4.57 | 4.81 | 112 | 118 |
| Zeke Spruill | 120.7 | 535 | 14.0% | 7.8% | .296 | 4.62 | 4.46 | 113 | 109 |
| Burke Badenhop | 63.0 | 268 | 15.7% | 5.6% | .288 | 3.57 | 3.35 | 87 | 82 |
| Ryan Dempster | 93.3 | 417 | 18.5% | 9.8% | .288 | 4.82 | 4.98 | 118 | 122 |
| Tom Layne | 59.0 | 260 | 19.6% | 11.2% | .285 | 3.81 | 4.08 | 93 | 100 |
| Anthony Varvaro | 58.7 | 256 | 18.0% | 9.4% | .283 | 3.84 | 3.85 | 94 | 94 |
| Heath Hembree | 57.7 | 250 | 22.0% | 9.2% | .293 | 3.90 | 3.82 | 95 | 94 |
| Edward Mujica | 58.7 | 248 | 17.3% | 4.8% | .286 | 3.99 | 3.83 | 98 | 94 |
| Noe Ramirez | 62.0 | 268 | 17.2% | 7.5% | .290 | 4.06 | 4.02 | 99 | 98 |
| Steven Wright | 113.7 | 521 | 13.8% | 10.9% | .291 | 5.15 | 5.24 | 126 | 128 |
| Drake Britton | 94.0 | 429 | 14.5% | 11.2% | .292 | 4.88 | 4.79 | 119 | 117 |
| Jandel Gustave | 70.3 | 322 | 14.6% | 10.9% | .295 | 5.12 | 5.12 | 125 | 125 |
| Craig Breslow | 55.0 | 245 | 16.3% | 9.8% | .289 | 4.42 | 4.46 | 108 | 109 |
| Ryan Verdugo | 81.3 | 373 | 16.1% | 11.8% | .290 | 5.20 | 5.38 | 127 | 132 |
| Mike Augliera | 114.7 | 507 | 10.3% | 5.3% | .294 | 5.26 | 5.04 | 129 | 123 |
| Robby Scott | 50.3 | 225 | 15.1% | 9.3% | .292 | 4.83 | 4.70 | 118 | 115 |
| Casey Crosby | 53.0 | 260 | 13.8% | 16.9% | .292 | 6.11 | 6.45 | 149 | 158 |
| Mitchell Boggs | 61.7 | 284 | 11.6% | 10.9% | .292 | 5.25 | 5.09 | 128 | 125 |
| Nestor Molina | 68.0 | 313 | 11.8% | 8.6% | .297 | 5.96 | 5.76 | 146 | 141 |
***
Pitchers, Assorted Other
| Player | IP | K/9 | BB/9 | HR/9 | ERA+ | zWAR | No. 1 Comp |
|---|---|---|---|---|---|---|---|
| Rick Porcello | 183.7 | 6.42 | 2.06 | 0.83 | 109 | 3.5 | Chris Holt |
| Wade Miley | 186.7 | 7.47 | 3.04 | 0.92 | 104 | 3.1 | Chris Hammond |
| Clay Buchholz | 153.3 | 6.93 | 2.94 | 1.00 | 97 | 2.0 | Scott Kamieniecki |
| Edwin Escobar | 138.3 | 7.35 | 2.54 | 1.11 | 99 | 1.9 | Patrick Misch |
| Justin Masterson | 157.7 | 7.65 | 4.05 | 0.80 | 95 | 1.8 | Bobby Witt |
| Henry Owens | 138.7 | 8.57 | 4.54 | 1.10 | 95 | 1.6 | Jim Deshaies |
| Joe Kelly | 124.0 | 6.02 | 3.56 | 0.87 | 96 | 1.5 | Chris Hook |
| Matt Barnes | 121.7 | 6.95 | 3.40 | 0.96 | 95 | 1.4 | Brad Rigby |
| Eduardo Rodriguez | 122.7 | 6.53 | 3.23 | 0.88 | 94 | 1.4 | Clemente Nunez |
| Koji Uehara | 56.7 | 10.95 | 1.43 | 1.11 | 160 | 1.3 | Trevor Hoffman |
| Anthony Ranaudo | 125.3 | 5.89 | 3.74 | 1.15 | 88 | 1.0 | Mike Fyhrie |
| Dana Eveland | 85.0 | 7.09 | 3.28 | 0.95 | 98 | 0.9 | Terry Burrows |
| Junichi Tazawa | 68.0 | 9.00 | 2.51 | 0.79 | 123 | 0.9 | Donnie Moore |
| Brandon Workman | 130.7 | 7.30 | 3.03 | 1.38 | 88 | 0.9 | Shane Bowers |
| Brian Johnson | 108.3 | 6.73 | 3.91 | 1.16 | 89 | 0.9 | Dave Otto |
| Zeke Spruill | 120.7 | 5.59 | 3.13 | 0.97 | 88 | 0.7 | Tim Drew |
| Burke Badenhop | 63.0 | 6.00 | 2.14 | 0.71 | 114 | 0.6 | Ron Taylor |
| Ryan Dempster | 93.3 | 7.43 | 3.95 | 1.45 | 84 | 0.4 | Ed Riley |
| Tom Layne | 59.0 | 7.78 | 4.42 | 0.76 | 106 | 0.4 | Matt Whisenant |
| Anthony Varvaro | 58.7 | 7.05 | 3.68 | 0.77 | 106 | 0.4 | Jason Bullard |
| Heath Hembree | 57.7 | 8.58 | 3.59 | 0.94 | 104 | 0.3 | Todd Bussa |
| Edward Mujica | 58.7 | 6.59 | 1.84 | 1.07 | 102 | 0.2 | Kenny Greer |
| Noe Ramirez | 62.0 | 6.68 | 2.90 | 0.87 | 100 | 0.2 | Jerry Spradlin |
| Steven Wright | 113.7 | 5.70 | 4.51 | 1.19 | 79 | 0.0 | Giovanni Carrara |
| Drake Britton | 94.0 | 5.94 | 4.60 | 0.96 | 83 | 0.0 | Brian Matz |
| Jandel Gustave | 70.3 | 6.02 | 4.48 | 1.15 | 79 | 0.0 | Jon Asahina |
| Craig Breslow | 55.0 | 6.55 | 3.93 | 0.98 | 92 | -0.1 | Mike Venafro |
| Ryan Verdugo | 81.3 | 6.64 | 4.87 | 1.33 | 78 | -0.1 | Mike Spiegel |
| Mike Augliera | 114.7 | 4.08 | 2.12 | 1.33 | 77 | -0.1 | Ryan Cox |
| Robby Scott | 50.3 | 6.08 | 3.76 | 1.07 | 84 | -0.3 | Al Levine |
| Casey Crosby | 53.0 | 6.11 | 7.47 | 1.36 | 66 | -0.7 | Bill White |
| Mitchell Boggs | 61.7 | 4.81 | 4.52 | 1.02 | 77 | -0.8 | Mike Sullivan |
| Nestor Molina | 68.0 | 4.90 | 3.57 | 1.72 | 68 | -1.0 | Steven Rowe |
***
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.

I’m glad you’re so excited about me!
is there some inside joke about the exclamation from Zips?
I believe it is in reference to the character Steve Holt from Arrested Development who would exclaim, “Steve Holt!” regularly as a catch phrase and a form of self-congratulation.
Steve Holt!
Arrested Development was a good show.
Has anyone in this family ever seen a chicken?
Yes, it was. What a shame that the new Netflix version, even with all the same actors, isn’t.
The new format following one character for an episode really disrupted the strength of the ensemble cast. Still worth watching, but yeah, not great.
It sounds like they are recutting it as a proper show, though.
I really think that all the component parts were there, so I’m excited.
BEES?
BEADS?!?!
Holy cow, 10 pitchers projected as capable of producing 1 or more WAR is pretty nice. I understand there’s no ace, but there’s certainly no lack of depth.
Also wow those Mookie and Xander comps make me very happy.
Last year’s Xander comp was Tulo.
Obviously Peralta isn’t Tulo, but he has quietly accrued just under 30 WAR, is coming of a 5.4 WAR year, and way back in 2005 when he started the year as a 22-year old (hey, that’s what Xander’s gonna do!) he posted a 4.4-win year. He’s gotten to 3.5+ wins on five separate occasions.
Now all they have to find is enough work for 15 pitchers and the Bosox might just give all that hitting a chance to fail to catch the Os.
I’d be interested to know how much of that pitching WAR is actual WAR of the pitchers on staff – and how much is the ‘park factor adjustments’ of past years (ie riding the coattails of past years of Lester/etc)
Nice comp for Sean Coyle! Not so inspiring for Blake Swihart.
I’m trying not to be very impressed with these projections for the Red Sox, but I am failing miserably. What a solid team this is going to be.
Joe Kelly isn’t predicted to win the CY young?
Tim Laker?
Very bullish on Edwin Escobar! Would love to hear where that’s coming from.
1) Red Sox will go from only having 3 players with 24+ doubles to 7. Nice.
2) Why only 186 innings for Miley? He has 3 years of 190+ IP.
186 and 190-200 IP are barely different. That’s a strange quibble.
How does a starter projected to be worth 3.5 WAR get rounded up to 4? What? I know this chart isn’t suppose to be the most accurate thing in the world, but c’mon.
That is how rounding works.
Sincerely,
Anyone who has taken second grade math.
Thanks for your stupid, useless comment. I know you round up from .5. What I don’t get is how you have a chart that so badly misrepresents what the projection actually says. How hard is it to add .5 to a chart? Why even have the chart if it’s going to misrepresent the player’s projection by half a win?
The chart is only there for illustrative purposes and to give a general idea of how these guys project. The tables should be referred to for proper ZiPS projections, not the chart; that’s only their to whet your appetite.
there*
If you want a rational for why it is rounded to a whole number, let me know when the last time an MLB team had a fractional win. Or you could just mentally adjust like a normal person. Castillo is only shown as 2 vs the 2.4 he was projected for.
.5 WAR is not considered to be a misrepresentation by anyone who doesn’t very obviously have an axe to grind.
But not Common Core math where 3.9 = 3
And not Reform Math, where 3.5 = approximately 3 or so.
Common core is a great system for anybody that actually understands math or wants to learn how to do mental arithmetic.
The ‘old strategy’ to do arithmetic is outdated in a world where you will always have a calculator in your pocket. Learning to add the way we were taught is no longer useful. Common core teaches kids how to do math in their head, which is a very helpful skill.
I don’t know anything about common core but i find it hard to believe that anything could be worse than how math was taught in america when i was going to school ~ 15 years ago
Common core is the most useless garbage teaching I have ever had as a student. I am heading to private school next year because of it. It forces students to do math in the single way the teachers want, not what is most comfortable to them. I have come up with ways to solve problems quicker than the Common Core way but have been forced to do the long recommended version instead. It is clearly dumbed down into long boring easy step by step problems that anybody could solve, but would never use in the real world because it takes to long. We are suddenly communist in schools, now that the smart kids arent challenged and the “advanced” classes are so numerous anybody who turns it their homework on a consistent basis earns a spot.
Matt, the main issue I have with common core is it forces kids who can do math in their head to dumb it down. It is no longer correct to actually solve the problem, but instead you have to do all this assanine rounding to estimate if your answer is correct, which if you learn math you don’t need to estimate. Math is about right and wrong, not close enough.
Pirates Hurdles –
But the kids that are doing the math in their head have either just memorized the answers (which isn’t a sustainable method because you can’t memorize every possible combination) or are actually already doing the common core strategy without realizing it.
Using rounding seems silly to do simple problems like 12*2, and it’s even more ridiculous to write it all down on paper since the point of it is that it teaches you how to do the math in your head.
But you have to start with writing it out, and you have to start with easy problems to learn the skill so that you can apply it much harder problems, like doing 17*14 in your head. Most people don’t have that answer memorized, and doing it the ‘old fashioned’ way is very hard to do in your head because you have to keep track of too many digits at once. But if you use the common core strategy, it becomes a very easy problem to do in your head.
17 * 14 = (17*10 + 15*4 + 2*4) = 170 + 60 + 8 = 230 + 8 = 238.
Not many people could just do 17*14 in their head without using a method like this, whether they realize they are doing it or not. And it only gets harder the bigger numbers you use.
Anthony Bruno:
I disagree with you completely. Speaking as somebody who is in the “real world” and not still in school…I’m a mechanical engineer, and I use common core literally every single day to do mental arithmetic. It’s the only way to add/subtract/multiply/divide large and not-round numbers in your head. Obviously I don’t write it down, because that’s not the point of the method. You just have to do it like that at first to learn how it works.
What you will “never use in the real world” is the method of adding where you write down the numbers and add the columns and carry the tens digit, etc. That is outdated since we all have calculators in our pockets that can do that in seconds. So learning to do math that way is a giant waste of time.
Brock Holt!
\o/
The exclamation point next to Brock Holt’s name made laugh.
Brock Holt!
https://www.youtube.com/watch?v=rREGbLdOzfg
The Mookie comp…….
Don’t do this to me. I’m at work and you’ve got me soiling my pants before 11 AM!!
Me too.
Betts is at least 3 wins down.
Once the Sox stopped sending Mookie on the Pawtucket shuttle and made him a ML regular on August 18th, he OPS’d above .855 (last 100 ABs). He has put on 10 lbs of muscle this winter. Pen it in now for the next 6 seasons. “leading off for the Boston Red Sox….Mookie Betts”
Leading off? Hell he might be hitting cleanup before too long…
Sure you did not mean the phillies?
Could someone kindly(or rudely) explain the comps to me? For example, why is Mookie Betts projected for 3 WAR, but his comp is Cutch, who will likely produce between 6-8 WAR. Does this mean Betts just has a similar playing stlye to Cutch, although he isn’t likely to match his production?
Betts is earlier in his career path. McCutchen didn’t put up 6-8 WAR until his prime years.
So to answer my original question, are you saying that Zips is projecting Betts to develop into a 6-8 WAR player when he hits his prime?
I would say “yes”, but keep in mind that Cutch is just his closest projection. It doesn’t mean their projections are identical.
No…this is just the top comp at similar times in their development. Cutch was just the top comp but I would venture to say that ZiPS sees it as unlikely for Mookie to ever have one let alone three nearly 7 WAR seasons.
Yeah, I saw that Betts’ 2nd comp is Mark Carreon…so Betts could really go in either direction.
Right, going of what Los said, this doesn’t mean you’ll predict him to develop into what McCutchen is now, because you wouldn’t have predicted McCutchen to develop into what he is now when he was a 22-year-old.
Twelve months ago Brian Cartwright’s OLIVER projection system had Mookie producing 5.5 WAR in his age 22 season.
In other words, one year ago OLIVER placed Betts among the top 5 prospects in the game, when *nobody* else had him in their top 50. So I’d trust that particular projection system, when it comes to Mookie.
Bingo. http://www.fangraphs.com/comparison.aspx?playerid=13611&position=2B/OF&page=8&players=9847
Wow, I don’t like these projections AT ALL
Hanley hitting only .271 16hrs? Lol Steamer has him at .291 20hrs. Heck if he has one of his “good years” at Fenway, which drasticallly favores RH pull hitters, Hanley could hit .315+ 25+hr hitter
Pedroia only at a 3.8 WAR and down offensive numbers all around is a joke. He just had surgery on his thumb and now has 100% strength and has said he hasnt felt this good in years (he was playing through a thumb injury these last few years which resulted in down power) I wouldnt be surprised if he hit .310+ and 15+hrs. Of course you can’t project that, but a fair projection would be .295 12hrs
I don’t think you understand how this works (these are mean projections). You projections would seem to require a time machine. The last time Pedroia went .310/15 was 2008. Hanley at .315/25 was 2007.
But HITBSOHL! (he’s in the best shape of his life)
Relative fitness is a better measure, although much overlooked.
http://www.sportspickle.com/2011/02/baseball-player-reports-to-camp-in-the-4th-best-shape-of-his-life
But CONSTERNATION! You and your logic and facts shall not stand in the way of my BLUSTER!!1
AT ALL
Actually Hanley was a .345 20hr hitter was 2013 And Pedroia has been a .300 15hr hitter in 2012
And to add to the comment above mine, mean projections indicate basically the average of what’s possible. Just because the computer man and his numbers spit out this as average does not mean that Pedroia/Ramirez/anyone else will not have great years owing to some circumstance like being healthier. It’s entirely possible that Hanley hits .350/40HR but it’s probably just as likely he hits .180/6HR.
“I think these projections should be much higher” says fan of team being projected.
The best part is that these projections are actually very good!
I actually love these projections.
The only thing I disagree with is how low Xander is, and I have an oft-stated man-crush on Mookie Betts.
Interestingly, ZIPS is projecting Red Sox pitching to be somewhat better than Steamer (based on WAR) and position players to be somewhat less WAR’d. Without adding it all up (but using my common core math skills), both ZIPS and Steamer seem to be projecting a similarly good year for the Red Sox.
Most disappointing: Hanley at 2.7 WAR despite a +4 on defense. This cannot be what the Sox were hoping for when the shelled out $22M per year.
Most encouraging: Miley at 3.1 WAR. I’d had him pegged for a solidly average starter. (Castillo being above average is also a big plus.)
Overall, a good looking team.
Dar, have to agree with you, the Hanley signing was a head scratcher. I would have rather had the Sox passed on Hanley & Masterson and used that $$$ on Lester and gone with an OF of Betts/Castillo/Nava/Craig/Victorino.
I’d have gone with Hanley over Panda at 3B.
I wouldn’t have wasted the money on Masterson, though.
Both the projections see Masterson’s deal as a good value. $9.5/1 with the chance to get to $12 million with incentives is a great deal for a 2 win pitcher. And if he gets all the incentives he will probably be much closer to 3 than 2 WAR. Sure, he could completely suck too, that’s just part of the calculated risk involved in running a baseball team.
By B-Ref, he’s been worth $3m in 2 of his 5 years as a full time starter.
There’s no way in hell he’s worth $9.5m on a 1 year deal.
Both ZiPS and Steamer project him for 2 wins, we’ll see what PECOTA says later this week. What exactly is the problem with a 9.5M one year contract for this pitcher?
The projections can say what they want. It doesn’t change teh fact that he’s only been worth more than 1 RA9-WAR twice in his career as a starter.
And in each of the two years where he was above 1 RA9-WAR, he was one of the top 30 pitchers in the league. In 2014 he was an injured mess, and in 2010 and 12 his peripherals were just fine. Why would you not take him on for 1 year @ 9.5M? My problem with the deal is that the Sox have done a poor job of insulating him with low-risk bets, but on its own it’s a fine deal
Oh, he’s fine as a low-risk bet. I’m just always super leery of his Jekyll and Hyde thing.
Although it is an odd year, so he should be fine!
+4 on defense means he’s likely going to be a +4 corner outfielder, but that is still a slightly below average offensive player, based on positional adjustments.
It would be really helpful if they listed the player’s expected positional adjustment on the chart. It seems like every one of these articles has at least a few comments from people not sure how to interpret the defensive score, which makes sense given that the defensive score on a player’s page is including the positional adjustment.
edit meant to say it makes him a slightly below average defensive player.
The Miley projection seems rather off to me, as he’s been exactly average since his rookie year.
Ryan Dempster, making a comeback.
E Rod is left handed.
Boston Red Sox Hitter Comps: YES!
Boston Red Sox Pitcher Comps: NOOOOOOOOOO
It was very intriguing to see betts comp was mccutchen…… I wrote a sample article to fangraphs two weeks ago because they were looking for a part time writer and in my article i wrote about betts and comped him to mccutchen. I hope this was just an ironic coincidence.
http://www.fangraphs.com/blogs/dan-szymborski-fangraphs-chat-112414/
12:50
Comment From guest
Okay, who projects better, mookie or xander?
12:50
Dan Szymborski: Betts
12:51
Dan Szymborski: Mookie Betts top comp in ZiPS, BTW, is Andrew McCutchen. Obviously not his average outlook, of course, but I thought I’d mention it.
Somthing can be ironic or a coincidence. Can’t be both.
These projections show a team that should make the playoffs, but lack the power pitching to move beyond the second round of the playoffs.
Sox have luxury of depth in above average major leaguers in their position players. Have the pitching staff to match that requires some projection and good luck (in health). Fortunately, they have the assets to address the inevitable problem spots.
the hitting projections look better than steamer’s, given that they actually show some players being worse than last year, but those SP projections seem way over the top.
their SP are projected for two career years (porcello, kelly) two huge bounceback years (masterson, miley), and one gu performing the same but with his era corrected to match his fip (so clay is also projected to be significantly better in reality)
that seems to me to be much more like a best case scenario than a likely one.
I’ll take the under there.
of course the WAR projections seem off from the other numbers. how does 187ip/3.82fip translate to 3.1war for miley? or 124ip of 4.33fip translate to 1.5war for kelly? those seem to be significant inflated war numbers for pedestrian performance. maybe in this case its better to lool at the actual numbers – the sox staff is projected to have about a league average era+, which makes much more sens than the near 15war they are projected to earn.
but seriously – how can a starting staff be projected for average era+, with fips to match, and also ne projected for near 15war? that seems way off to me.
their SP, all aged between 26-30, are projected to be more than 50% more valuable than they were last year, even though only one of them had an anomalous year last year.
I doubt that is a 50th percentile projection.
ok after doublechecking it does seem as if the top 6 SP arms are projected for almost exactly league average 100era+ over a full season of starts, with fips to match.
and they are projected for about 14war, or near 3war per SP slot.
is league average performance really worth 3war for an SP?
League average is 2 WAR, but they use FIP WAR and not run based WAR.
So basically the Red Sox rotation will have about a league average ERA+ and 3 hitter in the lineup with a 115 OPS+ or greater, led again by their 39 yo DH. Not all that impressive.