Monthly Archives: November 2017

Reviewing the pitcher projections for the 2017 Milwaukee Brewers

The World Series is over (congratulations to World Series champion Mike Fiers) but for fans of the Milwaukee Brewers, the offseason began long ago. The Brewers missed the playoffs by an inch, and although playing in October would’ve been incredible, the season as a whole was a great success. I’ve said this before and I’ll say it again; the future is bright in Milwaukee. I fully believe this team is just a year or two away from being a perennial playoff team, something the Brewers have never really been.

But now that the season has ended, it’s time to revisit the projections by comparing my own system (RW23) that was created with the help of Mike Podhorzer and his book Projecting X 2.0, with popular projection systems Steamer and ZiPS. This was the first year I had ever created projections, and I’m curious to see how they held up.

Below you’ll find every Brewers pitcher I projected just before the season tipped off, along with Steamer and ZiPS projections, compared to said player’s actual 2017 statistical line. If you missed my hitter projection review, you can find it here.

***Note: My preseason projections included Tommy Milone, Jhan Marinez, Neftali Feliz and Taylor Jungmann, but because they were on the major league roster for such a short time, I chose not to include them below.

Junior Guerra

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 162 17 1.27 .281 7.48 3.25 19.8% 8.6% 3.61 3.99 4.35
Steamer 192 25 1.39 .303 8.24 3.47 21.0% 8.9% 4.43 4.29 4.25
ZiPS 123 18 1.35 .294 8.20 3.66 20.9% 9.3% 4.24 4.54 N/A
Actual 70.1 18 1.48 .236 8.57 5.50 21.3% 13.7% 5.12 6.58 5.43

Winner: Steamer

All three projection systems — especially RW23 — missed on Guerra’s meltdown in 2017, and while Steamer and ZiPS were equally accurate, neither really deserve a win here. Yet, I’m giving it to Steamer. Guerra will be 33 by the beginning of next season, and it seems like his time with Milwaukee is most likely finished. But at least we have his 2016 brilliance as a nice memory.

Zach Davies

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 168 22 1.32 .305 7.75 2.61 20.2% 6.8% 4.13 4.14 3.95
Steamer 174 23 1.36 .306 7.67 2.82 19.7% 7.3% 4.35 4.19 4.11
ZiPS 169 20 1.27 .307 7.76 2.55 20.2% 6.6% 3.99 3.91 N/A
Actual 191.1 20 1.35 .302 5.83 2.59 15.2% 6.7% 3.90 4.22 4.42

Winner: Steamer

RW23 should definitely get its props for being accurate, but Steamer still managed to edge out the win by just a hair. Once again, Davies outperformed his peripherals, while also finishing with the exact same BABIP and home runs allowed as he did in 2016. The 24 year old has proved he deserves to be in a major league rotation, even if most of his outs come in other ways than the strike out.

Jimmy Nelson

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 181 21 1.35 .296 7.83 3.47 20.1% 8.9% 4.02 4.27 4.16
Steamer 120 15 1.46 .308 7.39 3.64 18.5% 9.1% 4.80 4.57 4.48
ZiPS 170 21 1.38 .307 7.57 3.39 19.2% 8.6% 4.34 4.45 N/A
Actual 175.1 16 1.25 .340 10.21 2.46 27.3% 6.6% 3.49 3.05 3.15

Winner: RW23

Neither of the three systems were particularly close when it came to projecting Nelson, but RW23 was closer to predicting his success relative to Steamer and ZiPS. Nelson broke out in 2017, and despite a crazy .340 BABIP, posted the lowest ERA, FIP and xFIP of his career. It’s really a shame he’ll miss a significant amount of time next season.

Matt Garza

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 96 11 1.44 .303 6.05 3.18 15.4% 8.1% 4.45 4.46 4.53
Steamer 128 19 1.46 .308 6.54 3.06 16.5% 7.7% 4.89 4.71 4.57
ZiPS 122 18 1.43 .309 6.30 3.04 15.8% 7.6% 5.04 4.76 N/A
Actual 114.2 17 1.45 .287 6.20 3.53 15.7% 8.9% 4.94 4.91 5.12

Winner: ZiPS

ZiPS and Steamer were neck-and-neck, but I’m giving the slight edge to the former. Garza was dreadful once again, and his contract will go down as the worst free agent contract in Milwaukee Brewers franchise history. He’s now a free agent, but seeing how his last few seasons went, his career might be over. If so, he finishes a 12-year career with 23 WAR.

Wily Peralta

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 125 16 1.42 .310 6.66 2.94 17.0% 7.5% 4.49 4.37 4.09
Steamer 140 18 1.45 .312 6.93 3.12 17.5% 7.9% 4.64 4.43 4.26
ZiPS 149 22 1.43 .312 6.67 3.07 16.7% 7.7% 4.81 4.70 N/A
Actual 57.1 10 1.83 .362 8.16 5.02 19.3% 11.9% 7.85 5.34 4.96

Winner: N/A

Peralta was terrible in 2017. So much so that he was optioned to the minors and subsequently designated for assignment. There are no winners here.

Chase Anderson

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 138 25 1.40 .295 7.37 3.12 18.9% 8.0% 4.82 5.03 4.51
Steamer 133 18 1.37 .301 7.81 2.83 20.0% 7.2% 4.72 4.56 4.43
ZiPS 139 22 1.38 .308 7.28 2.96 18.5% 7.5% 4.64 4.67 N/A
Actual 141.1 14 1.09 .265 8.47 2.61 23.4% 7.2% 2.74 3.58 4.33

Winner: Steamer

So far the projections haven’t been able to figure out Brewers pitchers in 2017, but once again, Steamer was the closest on Anderson, particularly regarding his peripherals. Anderson posted a sub-3.00 ERA that no one saw coming, and he heads into next season as the Brewers top pitcher.

Jacob Barnes

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 52 4 1.20 .293 9.09 3.12 24.5% 8.4% 3.10 3.18 3.54
Steamer 35 4 1.32 .304 8.98 3.28 23.3% 8.5% 3.94 3.84 3.88
ZiPS 53 5 1.27 .313 9.56 3.35 24.9% 8.7% 3.52 3.46 N/A
Actual 72 8 1.25 .272 10.00 4.13 26.3% 10.9% 4.00 3.88 3.67

Winner: Steamer

ZiPS had more of Barnes’ peripheral stats correct, but Steamer takes the cake with its ERA/FIP/xFIP projections. Barnes was wild and didn’t command the strike zone as well as RW23 thought he would. However, his strikeout numbers are great, and he should once again be in the back end of the bullpen and used in high-leverage situations next season.

Corey Knebel

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 63 6 1.22 .297 10.32 3.48 27.6% 9.3% 3.24 3.29 3.43
Steamer 65 7 1.28 .302 10.66 3.77 27.9% 9.9% 3.56 3.49 3.56
ZiPS 54 7 1.27 .316 11.28 3.81 29.3% 9.9% 3.65 3.68 N/A
Actual 76 6 1.16 .311 14.92 4.74 40.8% 12.9% 1.78 2.53 2.97

Winner: ZiPS

I could’ve given the win to RW23, but once again, ZiPS was more consistent throughout. Knebel put together his best season of his professional career and finished with the fourth-highest strikeout rate among qualified relievers.

Carlos Torres

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 73 9 1.28 .285 8.16 3.26 21.5% 8.6% 3.76 4.10 4.08
Steamer 55 7 1.36 .304 8.58 3.33 22.0% 8.6% 4.17 4.09 4.09
ZiPS 80 11 1.33 .301 8.74 3.59 22.4% 9.2% 3.92 4.29 N/A
Actual 72.2 10 1.53 .309 6.94 4.09 17.4% 10.3% 4.21 4.89 4.96

Winner: Steamer

All three systems missed the target on Torres, as his ERA rose by almost 1.5 runs from 2016. He was ourighted by Milwaukee a few weeks ago.

Jared Hughes

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP XFIP
RW23 62 5 1.38 .292 5.11 2.95 13.0% 7.5% 3.99 4.39 4.43
Steamer 10 1 1.46 .308 6.06 3.41 15.3% 8.6% 4.34 4.40 4.46
ZiPS 63 6 1.41 .303 5.12 2.98 N/A N/A 3.69 4.52 N/A
Actual 59.2 4 1.22 .278 7.24 3.62 19.7% 9.8% 3.02 3.93 3.98

Winner: RW23

At the time I published my original projections post, Steamer hadn’t updated Hughes’ projection. Same with ZiPS for K% and BB%. So I guess by default, RW23 is the winner. Hughes — who was another quality under-the-radar pickup by David Stearns — was an extremely valuable asset in Milwaukee’s bullpen, and the 32 year old should have a similar role in 2018.

Final Results

Steamer: 5 wins

ZiPS: 2 wins

RW23: 2 wins

Reviewing the hitter projections for the 2017 Milwaukee Brewers

The World Series is over (congratulations to World Series champion Mike Fiers) but for fans of the Milwaukee Brewers, the offseason began long ago. The Brewers missed the playoffs by an inch, and although playing in October would’ve been incredible, the season as a whole was a great success. I’ve said this before and I’ll say it again; the future is bright in Milwaukee. I fully believe this team is just a year or two away from being a perennial playoff team, something the Brewers have never really been.

But now that the season is over, it’s time to revisit the projections by comparing my own system (RW23) that was created with the help of Mike Podhorzer and his book Projecting X 2.0, with popular projection systems Steamer and ZiPS. This was the first year I had ever created projections, and I’m curious to see how they held up.

Below you’ll find every Brewers hitter I projected in the preseason, along with Steamer and ZiPS projections, compared to said player’s actual 2017 statistical line. Pitcher projection results will soon follow the publication of this article.

Manny Pina

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 360 330 .246 .302 .356 .658 .110 .290 16.1% 7.0% .275 8
Steamer 109 99 .250 .305 .384 .689 .135 .298 17.2% 6.6% .282 3
ZiPS 304 278 .241 .291 .371 .662 .129 .286 16.4% 5.9% .271 6
Actual 359 330 .279 .327 .424 .751 .145 .323 22.0% 5.6% .339 9

Winner: Steamer

Even though Steamer vastly miscalculated Pina’s playing time while RW23 was dead accurate, Steamer’s projections were consistently more spot on, giving it the win. Neither of the three thought Pina would have the offensive season he mustered. Kudos to him.

Eric Thames

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 535 478 .265 .334 .517 .851 .252 .360 26.4% 9.3% .308 31
Steamer 534 470 .272 .350 .515 .864 .243 .364 24.2% 9.6% .313 29
ZiPS 507 450 .247 .321 .493 .815 .247 .343 28.2% 8.7% .297 26
Actual 551 469 .247 .359 .518 .877 .271 .369 29.6% 13.6% .309 31

Winner: RW23

Another close one with Steamer, but RW23 earns its first win. It correctly predicted Thames’ home run total and was just a point off in slugging and BABIP. Thames produced an excellent season for the Brewers and was definitely a major upgrade over Chris Carter. ZiPS, meanwhile, is still looking to get on the scoreboard.

Jonathan Villar

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 625 545 .260 .348 .398 .746 .137 .326 24.9% 11.8% .336 15
Steamer 641 563 .255 .333 .397 .731 .142 .318 25.3% 10.0% .329 15
ZiPS 584 515 .256 .332 .410 .742 .153 .322 26.9% 9.8% .338 15
Actual 436 403 .241 .293 .372 .665 .132 .287 30.3% 6.9% .330 11

Winner: N/A

Jonathan Villar was awful in 2017. While each system projected regression from his phenomenal and unsustainable 2016 campaign, none had him falling off the face of the earth. He eventually lost his starting job to Eric Sogard and Neil Walker, and I wouldn’t be surprised if he finds himself displaced from the roster next year.

Travis Shaw

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 541 485 .254 .322 .439 .761 .185 .330 24.4% 8.7% .301 22
Steamer 388 347 .245 .314 .431 .745 .186 .319 23.3% 8.6% .286 15
ZiPS 542 492 .246 .308 .433 .741 .187 .316 22.9% 7.9% .287 20
Actual 606 538 .273 .349 .513 .862 .240 .361 23.1% 9.9% .312 31

Winner: RW23

RW23 was a little more bullish than Steamer and ZiPS, though Shaw still managed to exceed all projections and expectations. He set a career high with 31 home runs and had his best season of his career. Not the most accurate projection by RW23, but it somewhat projected his breakout.

Orlando Arcia

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 580 537 .255 .304 .383 .688 .129 .300 17.5% 6.5% .293 12
Steamer 538 497 .246 .292 .375 .667 .129 .288 18.3% 5.8% .286 10
ZiPS 635 593 .245 .289 .379 .669 .135 .288 20.2% 5.5% .291 13
Actual 548 506 .277 .324 .407 .731 .130 .309 18.2% 6.6% .317 15

Winner: RW23

Once again, RW23 was overall just more consistent. Arcia managed to outperform the projections and turned out to be somewhat of a better hitter than people expected. He still only finished with an 85 wRC+, so there’s room for improvement from the 23 year old.

Ryan Braun

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 555 496 .291 .355 .495 .850 .204 .362 18.6% 8.6% .320 24
Steamer 544 487 .280 .346 .492 .838 .212 .353 19.3% 8.7% .310 24
ZiPS 548 497 .282 .343 .477 .820 .195 .347 18.4% 8.0% .313 22
Actual 425 380 .268 .336 .487 .823 .218 .347 17.9% 8.9% .292 17

Winner: ZiPS

ZiPS earns its first win, as it accurately predicted Braun’s wOBA and was just a couple points off of his OPS. Braun’s home run power disappeared in 2017, and he just didn’t look like the player he used to be. With the crop of young outfielders the Brewers are ready to employ, Braun’s future is a little up in the air.

Keon Broxton

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 522 456 .242 .331 .413 .743 .170 .325 31.0% 11.4% .337 15
Steamer 530 466 .222 .304 .378 .683 .156 .298 32.9% 10.2% .315 15
ZiPS 469 417 .216 .297 .408 .705 .192 .304 37.3% 10.0% .325 16
Actual 463 414 .220 .299 .420 .819 .200 .308 37.8% 8.6% .323 20

Winner: ZiPS

Keon Broxton led MLB in strikeout rate (minimum 400 PA), and ZiPS nailed it on the head with that one. ZiPS was scary accurate throughout Broxton’s projection, while RW23 turned out to be way too optimistic. The centerfielder was, however, able to knock out 20 home runs, but his 84 wRC+ left a lot to be desired.

Domingo Santana

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 515 441 .256 .354 .490 .843 .234 .362 31.0% 12.3% .341 23
Steamer 517 448 .253 .343 .449 .792 .197 .342 28.8% 11.4% .327 21
ZiPS 466 408 .243 .333 .441 .774 .199 .334 32.6% 11.2% .335 19
Actual 607 525 .278 .371 .505 .875 .227 .372 29.3% 12.0% .363 30

Winner: RW23

This one wasn’t all that close. RW23 correctly predicted Santana’s breakout, particularly when it came to his power numbers. Personally, I’ve been a die-hard believer in Santana as a prospect and a player, and it’s nice to see him perform at such at high level in his 25-age season. He led the Brewers in wRC+ and while 30 home runs might be his peak, expect his OBP numbers to increase as he continues to get a better feel for the strike zone.

Hernan Perez

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 315 296 .261 .296 .383 .679 .122 .295 21.6% 4.7% .314 7
Steamer 402 379 .261 .294 .385 .679 .124 .292 19.6% 4.2% .308 8
ZiPS 486 458 .266 .293 .400 .693 .133 .296 18.1% 3.7% .308 10
Actual 458 432 .259 .289 .414 .704 .155 .298 17.2% 4.4% .286 14

Winner: ZiPS

ZiPS believed Perez would get more playing than a typical utility player, and it was right. For the second straight year, Perez set a career high in home runs and is destined to play a similar role for the Brewers in 2018.

Jett Bandy

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 300 280 .267 .304 .457 .761 .190 .326 17.8% 3.9% .282 14
Steamer 218 199 .237 .288 .393 .681 .156 .294 19.7% 4.9% .267 7
ZiPS 337 307 .225 .278 .378 .655 .153 .284 22.8% 4.2% .260 11
Actual 188 169 .207 .287 .349 .636 .142 .280 27.1% 8.0% .259 6

Winner: ZiPS

Bandy started out hot to begin the year, but the catcher eventually cooled and was optioned to the minors. He has raw power and RW23 expected to see that in 2017. It’s hard to envision Bandy making the Opening Day roster in 2018 with Manny Pina and Stephen Vogt still on the roster, but a eye-opening spring could keep him in Milwaukee’s plans.

Jesus Aguilar

PA AB AVG OBP SLG OPS ISO WOBA K% BB% BABIP HR
RW23 145 134 .231 .283 .334 .617 .103 .273 22.3% 6.5% .280 3
Steamer 99 90 .238 .303 .411 .714 .174 .306 23.0% 7.9% .276 4
ZiPS 568 516 .250 .310 .448 .758 .198 .322 23.1% 7.6% .283 26
Actual 311 279 .265 .331 .505 .837 .240 .351 30.2% 8.0% .337 16

Winner: ZiPS

Aguilar is arguably the biggest surprise of the 2017 campaign. He’s a relatively unknown player who just happened to post a 112 wRC+ off the bench in his first full season in MLB. RW23 and Steamer didn’t believe in him at all. Sure, he had a fantastic spring training, but spring training stats are relatively meaningless. It will be interesting to see what the projections look like for Aguilar next year.

Final Results

ZiPS: 5 wins

RW23: 4 wins

Steamer: 1 win