Tag Archives: Projections

Projecting Nick Franklin

Another day, another roster move for the rebuilding Milwaukee Brewers.

On Wednesday, the Brewers claimed INF/OF Nick Franklin off waivers from the Tampa Bay Rays and designated reliever Michael Blazek for assignment. Blazek was a dominant piece of Milwaukee’s 2015 bullpen but really struggled to find any success in 2016 (5.66 ERA/5.71 FIP). Franklin, on the other hand, was once a top prospect, although he has failed miserably to live up to that billing in the major leagues. He did, however, enjoy a career year last season with the bat, creating 10 percent more runs than league average — by far his highest wRC+. But even with that, he posted a 0.0 WAR — the definition of a replacement player.

Franklin enticed the Brewers due to his versatility, as he’s similar to Hernan Perez by being able play multiple infield and outfield positions. He doesn’t have much power and his on-base skills are limited, but general manager David Stearns believed he was worth a flyer, though it may be an expensive flyer if another team ends up claiming Blazek.

Franklin is expected to join the Brewers on Friday, so let’s see what RW23 thinks of the 26 year old.

PA AB AVG OBP SLG OPS ISO wOBA K% BB% BABIP HR
RW23 181 167 .229 .285 .390 .674 .161 .294 27.6% 6.1% .291 5

It’s not all that pretty. Other projection systems like Steamer and ZiPS aren’t as pessimistic as RW23, but the difference is extremely small. They all believe Franklin won’t make much of an impact.

But because the Brewers are rebuilding, they need to take chances on guys like Franklin. They have very little to lose, and if one of these dart throws sticks, it will only increase the speed of the rebuild.

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Projecting Brent Suter

Just like a season ago, the Milwaukee Brewers made a pitching move following Opening Day. In 2016, they designated Ariel Pena for assignment after getting blasted, and this year, they placed starting pitcher Junior Guerra on the 10-day disabled list with a strained calf and recalled LHP Brent Suter to replace him. Tommy Milone — who pitched two innings of relief Monday — will most likely serve as a starter to fill Guerra’s void, while Suter will take Milone’s place as the only lefty in the bullpen.

So let’s project what to expect from Suter using RW23.

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP xFIP
RW23 25 3 1.34 .303 6.18 2.26 16.1% 5.9% 4.21 4.22 4.51

According to RW23, Suter projects to be relatively the same pitcher as Milone, so the good thing is that the Brewers won’t be losing anything. However, like Milone, Suter won’t miss many bats, but that’s nothing new. He’s never shown strikeout ability in the minor leagues and has never been considered a top prospect. But his performance in spring training was impressive, and that’s likely what led to his call up. Meanwhile, highly coveted prospect Josh Hader and outspoken reliever Tyler Cravy will remain at Colorado Springs for the foreseeable future.

Suter made his major league debut in 2016, and in 21.2 innings — including two starts — he posted a 3.32 ERA and 4.39 FIP. His relies heavily on his fastball and mixes in a sllider and changeup, as well. He’s definitely not a power pitcher, though, as his fastball averaged just 84.8 mph last season. It’s all about location for the southpaw.

Don’t expect Suter to see many high-leverage innings out of Milwaukee’s pen, but he’s likely to stay there until Guerra — who’s expected to miss more than the minimum 10 days — is healthy enough to rejoin the rotation.

Pitcher projections for the 2017 Milwaukee Brewers

Below is the same opening I used for my hitter projections, so if you have already visited those, just skip right on down to the stats. If not, here’s where you can find RW23’s hitter projections.

I’m really excited about this.

For the first time in its two-and-a-half year existence, The First Out At Third is featuring real projections rather than educated guesses like it has in previous years. I’m very excited to announce to finally debut RW23 projections.

RW23 is named after my favorite (and greatest) baseball player of all time, Rickie Weeks. I’ve loved him from the moment he made his Brewers’ debut and I shed many tears during his final game in Miller Park, although he wasn’t even given an at bat. I own a banner of Weeks that used to hang up in the stadium, and his is the only autograph I truly cherish. Naming my projections after him was a no-brainer.

Now, RW23 isn’t a scientific or mathematical, computer-based model. It relies on relatively simple formulas that I entered into Excel. I’d be remiss if I didn’t give Mike Podhorzer and his book “Projecting X 2.0” credit, though, as I purchased his book to aid me. I made a few small changes and added a bit of my own sauce to it, but there’s no way I would’ve been able to do this without Mike’s book.

Below you will find RW23’s projections along with a side-by-side comparison to Steamer and ZiPS — two well-respected projection systems.(Note: ZiPS doesn’t project xFIP.) At the end of the year I’ll compare the three systems to see how RW23 performed in its debut season.

As new players are added to the 25-man roster, I will dedicate an entire post to their projections, but for now, here are the pitcher projections for the 2017 Milwaukee Brewers.

SP 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

SP 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

SP 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

SP 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

SP 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

SP 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

RP Tommy Milone

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP xFIP
RW23 61 7 1.33 .292 6.13 2.68 16.0% 7.0% 4.11 4.32 4.48
Steamer 57 8 1.27 .301 7.96 2.22 20.9% 5.8% 4.10 4.03 3.94
ZiPS 128 21 1.34 .306 7.03 2.46 18.0% 6.3% 4.71 4.61 N/A

RP 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

RP 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

RP Jhan Marinez

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP xFIP
RW23 53 4 1.33 .300 7.39 3.34 19.0% 8.6% 3.64 3.82 3.99
Steamer 55 6 1.41 .307 8.43 3.89 21.4% 9.9% 4.16 4.12 4.14
ZiPS 68 8 1.34 .307 8.07 3.31 20.7% 8.5% 3.84 4.21 N/A

RP Neftali Feliz

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP xFIP
RW23 61 9 1.19 0.261 9.18 3.37 24.8% 9.1% 3.67 4.28 4.01
Steamer 65 8 1.28 0.295 10.15 3.56 26.5% 9.3% 3.83 3.81 3.88
ZiPS 55 9 1.30 0.299 9.43 3.58 N/A N/A 4.39 4.41 N/A

RP 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

RP Taylor Jungmann

IP HR WHIP BABIP K/9 BB/9 K% BB% ERA FIP xFIP
RW23 53 6 1.52 .312 7.53 4.23 18.7% 10.5% 4.62 4.52 4.70
Steamer 85 11 1.53 .306 8.02 4.54 19.8% 11.2% 4.91 4.78 4.75
ZiPS 142 19 1.52 .308 8.09 4.78 19.9% 11.7% 4.97 4.88 N/A

RP 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

Hitter projections for the 2017 Milwaukee Brewers

I’m really excited about this.

For the first time in its two-and-a-half year existence, The First Out At Third is featuring real projections rather than educated guesses like it has in previous years. I’m very excited to announce to finally debut RW23 projections.

RW23 is named after my favorite (and greatest) baseball player of all time, Rickie Weeks. I’ve loved him from the moment he made his Brewers’ debut and I shed many tears during his final game in Miller Park, although he wasn’t even given an at bat. I own a banner of Weeks that used to hang up in the stadium, and his is the only autograph I truly cherish. Naming my projections after him was a no-brainer.

Now, RW23 isn’t a scientific or mathematical, computer-based model. It relies on relatively simple formulas that I entered into Excel. I’d be remiss if I didn’t give Mike Podhorzer and his book “Projecting X 2.0” credit, though, as I purchased his book to aid me. I made a few small changes and added a bit of my own sauce to it, but there’s no way I would’ve been able to do this without Mike’s book.

Below you will find RW23’s projections along with a side-by-side comparison to Steamer and ZiPS — two well-respected projection systems. At the end of the year I’ll compare the three systems to see how RW23 performed in its debut season.

As new players are added to the 25-man roster, I will dedicate an entire post to their projections, but for now, here are the hitter projections for the 2017 Milwaukee Brewers. Pitching projections will be out shortly.

C 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

1B 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

2B 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

3B 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

SS 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

OF 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

OF 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

OF 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

OF Kirk Nieuwenhuis

PA AB AVG OBP SLG OPS ISO wOBA K% BB% BABIP HR
RW23 275 245 .212 .295 .366 .661 .154 .292 32.7% 10.1% .300 7
Steamer 242 212 .219 .305 .385 .690 .165 .301 31.3% 10.4% .297 8
ZiPS 349 308 .218 .305 .412 .717 .195 .310 31.2% 10.6% .289 13

UTIL 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

C 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

1B 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

*ZiPS seems to think Aguilar is Milwaukee’s everyday first baseman. Hm.

Pitcher projections for the 2016 Milwaukee Brewers

Warning: Below is the same opening I used for my hitter projections (lazy is my name), so feel free to skip it and scroll down to the projections.

It’s that time of year again, when projections are being unleashed and the biased trolls of the internet emerge from their caves. I love it.

People say that projections are like throwing darts at a dart board and hoping it sticks where you want it too. Well, if that’s the case, then the dart’s trajectory has been calculated countless of times and the dart board is bigger than the average one. Projection systems, like Steamer and ZiPS, are the most accurate darts we currently have at our disposable. So many components (i.e. park factors, age, injury history, talent) play into their forecasts that it’s asinine not to put at least a little merit in them.

With that being said, my projections are not based on a mathematical model. My brain doesn’t possess the functionality it requires to build one or to even interpret simple mathematical equations. For someone who is so invested in sabermetrics, I don’t know a lick of math. I guess my projections are simply predictions.

On the other hand, my projections are more than just guess work. I’ve poured over each player’s statistical history, taken injuries and age into account, looked at splits, went over other projection systems and basically every other thing I could possibly do to make sure my projections were well-informed.

Here are my pitcher projections for the 2016 Milwaukee Brewers:

Position Name ERA FIP xFIP SIERA HR K% BB% GB% WAR
SP Wily Peralta 4.45 4.61 4.11 4.20 18 15.9% 7.6% 52.4% 1.3
SP Jimmy Nelson 3.88 3.83 3.97 4.01 20 19.2% 8.2% 52.1% 2.6
SP Matt Garza 4.21 4.40 4.00 4.13 21 16.3% 8.0% 44.5% 0.9
SP Taylor Jungmann 4.03 4.19 4.25 3.99 15 18.8% 10.5% 47.2% 1.6
SP Chase Anderson 4.47 4.36 4.08 4.25 19 18.5% 7.3% 44.0% 1.7
RP Carlos Torres 3.88 3.69 3.80 3.28 6 20.4% 8.2% 47.6% 0.2
RP Jeremy Jeffress 2.86 3.01 3.12 2.88 6 24.5% 7.5% 59.3% 1.0
RP Blaine Boyer 4.00 3.94 4.39 4.29 5 13.0% 6.4% 52.5% 0.1
RP Tyler Thornburg 4.13 4.35 4.22 3.65 8 23.6% 9.7% 35.8% -0.2
RP Chris Capuano 3.99 4.02 3.77 3.92 4 19.7% 6.9% 41.7% 0.2
RP Michael Blazek 3.23 3.52 3.94 3.50 5 22.1% 8.8% 48.1% 0.5
RP Ariel Pena 4.22 4.09 4.59 4.15 3 23.4% 11.1% 38.8% 0.1
Total 3.95 4.00 4.02 3.85 130 19.6% 8.4% 47.0% 10.0

Quick Hits

  • The rotation should be considerably better than a year ago. No Kyle Lohse, and there’s no way Matt Garza can repeat his outrageously horrendous performance, is there?
  • Jeremy Jeffress is primed for another fantastic season, especially if he can up his K rate.
  • Jimmy Nelson will have the highest WAR and solidify his spot as the best pitcher in the rotation.
  • Wily Peralta’s strikeout percentage will continue to be underwhelming.
  • The bullpen might struggle, especially if the starters can’t go deep into games.

Hitter projections for the 2016 Milwaukee Brewers

It’s that time of year again, when projections are being unleashed and the biased trolls of the internet emerge from their caves. I love it.

People say that projections are like throwing darts at a dart board and hoping it sticks where you want it too. Well, if that’s the case, then the dart’s trajectory has been calculated countless of times and the dart board is bigger than the average one. Projection systems, like Steamer and ZiPS, are the most accurate darts we currently have at our disposable. So many components (i.e. park factors, age, injury history, talent) play into their forecasts that it’s asinine not to put at least a little merit in them.

With that being said, my projections are not based on a mathematical model. My brain doesn’t possess the functionality it requires to build one or to even interpret simple mathematical equations. For someone who is so invested in sabermetrics, I don’t know a lick of math. I guess my projections are simply predictions.

On the other hand, my projections are more than just guess work. I’ve poured over each player’s statistical history, taken injuries and age into account, looked at splits, went over other projection systems and basically every other thing I could possibly do to make sure my projections were well-informed.

Here are my hitter projections for the 2016 Milwaukee Brewers:

Position Name AVG HR wOBA wRC+ OBP ISO K% BB% WAR
C Jonathan Lucroy .290 10 .331 115 .333 .133 12.4% 9.0% 3.5
1B Chris Carter .220 28 .330 116 .311 .235 33.4% 11.1% 1.3
2B Scooter Gennett .271 6 .285 81 .299 .125 19.0% 3.6% 0.4
3B Aaron Hill .237 7 .296 90 .311 .119 15.2% 7.9% 0.5
SS Jonathan Villar .233 5 .289 79 .303 .128 25.1% 6.3% 0.2
OF Keon Broxton .255 4 .305 83 .315 .159 33.6% 7.4% 0.5
OF Domingo Santana .269 22 .345 118 .330 .208 32.9% 10.8% 2.5
OF Ryan Braun .280 23 .352 121 .348 .210 20.5% 9.3% 2.9
C Martin Maldonado .236 4 .265 62 .290 .111 26.3% 9.2% -0.1
OF Ramon Flores .266 5 .323 99 .324 .139 16.2% 8.7% 0.6
INF Yadiel Rivera .222 2 .261 56 .249 .091 24.7% 3.9% -0.3
INF Colin Walsh .247 4 .297 88 .325 .110 25.0% 10.9% 0.1
OF Kirk Nieuwenhuis .233 4 .309 91 .285 .192 31.3% 7.5% 0.3
Total .251 124 .307 92 .309 .151 24.3% 8.1% 12.4

Quick Hits

  • No Brewer will bat .300 or better, and only four will be above-average hitters.
  • I expect Jonathan Lucroy to bounce back and re-enter the “best catcher in baseball” discussion.
  • I’m excited about Chris Carter. I wouldn’t be surprised if he put up 40 home runs. According exit velocity, nobody hit the ball harder than Carter from Aug. 1 on in 2015. His defense will keep his WAR down.
  • Domingo Santana, the most exciting player on the roster, will be an All Star this season. Mark it down.
  • Milwaukee’s bench is a sight for sore eyes.