The Television Elephant (Telephant? Elevision?) in the Room

Albert Cesare/The Enquirer / USA TODAY NETWORK

No one likes to talk about baseball as a business. Heck, I don’t like to talk about it, and I’m what passes for an expert in the subject around here. It’s tedious, the creeping financialization of everything in life. Baseball should be the crack of the bat and the glint of sunglasses as an outfielder charges across the grass towards a smashed line drive, not an accounting ledger filled with contracts and receipts. But inevitably Major League Baseball, which often gets shortened to “baseball” as though it embodies the entire sport, is about profit, which means it’s about money.

There’s a storm brewing on that front. As Travis Sawchik deftly reported over at The Score, the old way of doing business is standing on wobbly legs. Local TV deals make up a sizable portion of the league’s overall revenue. That makes perfect sense – baseball is a regional game, and its biggest draw, from an entertainment standpoint, is the sheer size of its inventory. Teams play 162 games a year, all through the hardest times to fill programming – the dog days of summer, Saturday evenings, national holidays, you name it. Sportico estimated that teams were paid roughly $2.25 billion for local broadcast rights in 2023. Read the rest of this entry »


2024 Contemporary Baseball Era Committee Candidates: Ed Montague and Joe West

Joe West
Darren Yamashita-USA TODAY Sports

This post is part of a series covering the 2024 Contemporary Baseball Era Committee Managers/Executives/Umpires ballot, covering candidates in those categories who made their greatest impact from 1980 to the present. For an introduction to the ballot, see here. The eight candidates will be voted upon at the Winter Meetings in Nashville on December 3, and anyone receiving at least 75% of the vote from the 16 committee members will be inducted in Cooperstown on July 21, 2024 along with any candidates elected by the BBWAA.

2024 Contemporary Baseball Candidates:
Umpires Ed Montague and Joe West
Umpire Seasons Yrs G Eject Home WC DS LCS WS
Ed Montague NL, 1974, ’76–99; ML, 2000–09 35 4369 72 1099 0 25 40 34
Joe West NL, 1976–99; ML, 2002–21 44 5460 196 1391 5 33 60 34
SOURCE: Retrosheet

What makes a Hall of Fame umpire? It’s a particularly pertinent question given that both Joe West and Ed Montague are on this year’s Contemporary Baseball Era Committee ballot alongside four managers and two executives, all of whom have careers that are more easily evaluated by wins, losses, pennants, championships, and a more subjective understanding of the context in which they occurred. Aside from their service time and logs of postseason series and other notable events, umpires don’t leave behind much data — or they didn’t, at least until the pitch-tracking era arrived. “A good umpire is the umpire you don’t even notice,” said Ban Johnson, the first president of the American League. “He’s there all afternoon, and when the game is over, you don’t even remember his name.”

Between the lack of data and a committee format that has pitted umpires against managers, executives, and long-retired players, only 10 men in blue have been elected to the Hall, including just two in this millennium: Doug Harvey and Hank O’Day. Harvey, whose career spanned from 1962 to ’92, was recognized by SABR in 1999 as the second-best umpire in history behind only Bill Klem; he was elected via a 2010 Veterans Committee ballot specifically devoted to executives and umpires. O’Day, a former major league pitcher (1884–90) whose umpiring career spanned from 1894 to 1927 but was interrupted by brief stints as a manager, was elected via the 2013 Pre-Integration Era Committee ballot. Read the rest of this entry »


Still Evolving as a Hitter, Boston’s Blaze Jordan Is Bashing Baseballs

Bob DeChiara-USA TODAY Sports

Blaze Jordan quietly put together one of the best seasons in the Red Sox minor league system this year. Overshadowed by higher profile prospects such as Roman Anthony, Marcelo Mayer, and Ceddanne Rafaela, the 20-year-old corner infielder slashed .296/.351/.481 with a 124 wRC+ and 18 home runs between High-A Greenville and Double-A Portland. Moreover, his 141 hits and 32 doubles were both tops among Boston farmhands. That he fanned in just 14.3% of his 525 plate appearances is also notable, although that does come with a caveat: His 7.6% walk rate was less than ideal.

Jordan’s profile coming into pro ball was that of a slugger. As our lead prospect analyst Eric Longenhagen wrote after the Red Sox selected him in the third round of the 2020 draft out of Southaven, Mississippi’s DeSoto Central High School, “Jordan had some of the best power in the class.” That would be an understatement. The now 6-foot-2, 210-pound right-handed hitter won the High School Home Run Derby in Cleveland at the 2019 All-Star Game, and he was reportedly called “a young Bob Horner” by a scout who had seen him punish baseballs in a prep tournament.

That Jordan’s power output in pro ball — 36 dingers in 1,160 PAs — has been comparatively modest is at once concerning and a sign of age-appropriate developmental goals. Just shy of the legal drinking age, he doesn’t aspire to be an all-or-nothing basher. Read the rest of this entry »


2024 ZiPS Projections: Boston Red Sox

For the 20th consecutive season, the ZiPS projection system is unleashing a full set of prognostications. For more information on the ZiPS projections, please consult this year’s introduction and MLB’s glossary entry. The team order is selected by lot, and the next team up is the Boston Red Sox.

Batters

As last-place teams go, the 2023 Red Sox were a pretty good one. Nobody puts a 78–84 season on their sizzle reel, but they played adequate baseball for most of the season, enough that they hovered two to four games out of a wild card spot for a large chunk of the summer. An 8–19 September suffocated those chances, but Boston still managed to have an 81–81 Pythag record. If the Red Sox played in a Central division, they would have been competitive for even longer. But Boston’s coastline is on the Atlantic Ocean, not a Great Lake, so this is where they compete.

The offense highlights the awkward situation the Sox are in. They may be happy with the value they got for a year of Mookie Betts, but he offers something that the Red Sox don’t have: someone who can go out of their minds for a year and put an 8–9-WAR season on the leaderboard. Rafael Devers is very good, and one of the premier power-hitting third basemen of this generation; ZiPS gives him a final median home run total among his active compatriots at the hot corner (442) that’s behind only Manny Machado. But he’s not a multi-dimensional all-around monster. Nor is Trevor Story going to fill that role, even if he has as juicy a comeback season as ZiPS thinks he will. Triston Casas should be good as well, but the rest of the roster is just “there.” To upgrade on this group, you need to find 3–4-WAR players, and those don’t come cheap. Boston would be better off with a few more sixes and zeroes on the depth chart.

On the plus side, some of the reinforcements may help, with ZiPS finding a lot of interesting possibilities in Boston’s top prospects. Ceddanne Rafaela didn’t hit in his brief debut, but my Total Zone-esque coordinate measurement system had him as the second-best center fielder in the minors, behind only Jorge Barrosa. ZiPS also already has Marcelo Mayer at the two wins-per-600 PA threshold in 2025 and is certainly more into Kyle Teel than Steamer is. But like the main offense, there just isn’t that phenom guy, though Mayer could take a big step up if his shoulder doesn’t give him too much more trouble. This isn’t a great offseason to make big offensive additions via free agency, and given how the Red Sox have been run in recent years, I can’t imagine they’ll go into any rentals.

Pitchers

The story here is similar. The Sox aren’t bad anywhere, but there just isn’t a tremendous amount of upside either. Expecting Chris Sale to channel the old Chris Sale for 160 innings is a big ask, and Brayan Bello looks more like a good number two than an ace for the franchise that had Roger Clemens and Pedro Martinez. With Steamer, we have the Red Sox rotation as the middle of the pack, and I don’t think anything ZiPS is saying here will change that. On the good side, there are quite a few above-replacement Plan Bs, Cs, and Ds for the rotation — necessary given the injury history of several of the starters — but nobody with amazingly high potential. And maybe someone like Wikelman Gonzalez will change that, but it’s a little too soon for projections to see that as a median outcome. This is one place I can see the team spending some money this winter.

When Steamer came out, I was a little surprised to see the Red Sox projected as a top-10 bullpen, but ZiPS actually agrees with that. I suspect Garrett Whitlock is likely to stay in the bullpen from here on out — this has not been confirmed as far as I’ve seen one way or the other — and as a full-time reliever, ZiPS sees him with an ERA in the low threes. Chris Martin joined the team in a whisper on a two-year contract last offseason and served as one of the team’s indispensable parachutes, with an ERA just over one. Clocks are a concern given his age, and there’s a clear warning sign in the strikeout rate decline, but he should still put hitters in their place for another season. As veteran relievers go, ZiPS isn’t as confident about Kenley Jansen given his age and some erosion in his peripheral metrics, and I’d like to see the Red Sox slowly transition their closer job to Whitlock if they keep him in relief. The bottom of the ‘pen isn’t exciting, but it’ll get the job done.

The Red Sox look like an 80–86 win team or so. That kind of team can surprise, and with the coins flipping a bit different last year, they could have made a real wild card run. The Orioles, Blue Jays, and Rays are a clear tier above them, though, and when all is said and done by winter’s end, I think the Yankees may be as well. But that last question is a tale for another ZiPS entry.

Ballpark graphic courtesy Eephus League. Depth charts constructed by way of those listed here. Size of player names is very roughly proportional to Depth Chart playing time.

Batters – Standard
Player B Age PO PA AB R H 2B 3B HR RBI BB SO SB CS
Rafael Devers L 27 3B 655 586 95 164 38 1 33 107 58 126 4 2
Alex Verdugo L 28 RF 591 536 83 157 36 3 14 65 46 88 4 2
Trevor Story R 31 SS 411 370 54 91 23 2 15 54 33 117 15 3
Justin Turner R 39 1B 514 454 67 128 26 0 15 65 46 90 3 1
Ceddanne Rafaela R 23 CF 557 521 76 136 29 6 15 76 23 133 20 8
Masataka Yoshida L 30 LF 553 501 67 148 29 2 16 74 43 68 5 1
Triston Casas L 24 1B 502 428 67 113 22 2 22 71 69 119 1 1
David Hamilton L 26 SS 496 443 62 104 17 6 9 52 47 121 35 9
Wilyer Abreu L 25 LF 474 414 63 102 20 1 15 60 55 127 9 4
Kyle Teel L 22 C 456 410 51 107 21 1 6 51 42 100 6 2
Jarren Duran L 27 CF 453 415 60 106 25 6 11 54 31 114 21 3
Enmanuel Valdez L 25 2B 457 411 57 104 23 2 16 60 40 109 6 3
Adam Duvall R 35 CF 389 355 48 85 20 2 21 61 26 119 3 1
Nick Sogard B 26 3B 444 394 55 101 19 3 5 43 42 85 10 4
Bobby Dalbec R 29 3B 486 433 57 97 15 3 22 69 42 177 7 1
Eddy Alvarez L 34 2B 264 224 36 57 12 2 6 34 24 69 8 2
Ronaldo Hernández R 26 C 403 372 41 94 22 1 12 55 21 82 1 1
Chase Meidroth R 22 3B 489 422 63 102 17 1 7 53 53 106 7 1
Rob Refsnyder R 33 LF 294 252 38 67 15 1 6 35 33 68 4 1
Roman Anthony L 20 CF 490 431 56 99 23 3 9 53 53 132 7 4
Connor Wong R 28 C 373 346 46 86 21 2 11 43 20 114 6 2
Ryan Fitzgerald L 30 3B 411 372 42 86 23 5 9 48 31 114 5 4
Marcelo Mayer L 21 SS 393 357 43 85 22 2 11 46 31 110 6 3
Reese McGuire L 29 C 250 230 22 61 15 1 2 21 13 56 1 1
Niko Goodrum 구드럼 B 32 1B 321 276 40 65 13 2 7 34 42 90 8 3
Nick Yorke R 22 2B 500 459 59 107 19 4 9 53 34 133 9 4
Mark Contreras L 29 CF 417 380 50 88 21 3 10 53 28 128 13 4
Christian Arroyo R 29 2B 287 266 33 68 17 0 6 32 14 58 2 2
Pablo Reyes R 30 2B 352 319 48 84 19 1 7 39 28 62 8 4
Marcus Wilson R 27 LF 365 320 44 67 16 3 10 43 40 143 10 2
Elih Marrero B 27 C 213 190 22 43 10 1 1 17 21 57 6 4
Yu Chang R 28 SS 256 236 29 56 12 2 7 35 15 70 4 1
Christian Koss R 26 SS 417 390 46 94 16 4 7 46 17 108 9 3
Stephen Scott L 27 C 391 346 47 79 19 1 10 44 41 91 3 1
Niko Kavadas L 25 1B 481 402 49 81 18 0 17 60 68 183 1 1
Corey Rosier L 24 RF 445 402 61 99 18 6 5 49 33 104 25 5
Brainer Bonaci B 21 SS 417 379 47 92 17 2 7 42 34 102 6 3
Max Ferguson L 24 2B 422 370 52 76 15 5 4 34 45 131 16 2
Narciso Crook R 28 LF 362 323 39 69 16 2 9 48 29 128 7 3
Eddinson Paulino L 21 SS 535 490 66 116 30 4 10 59 37 133 13 4
Alex Binelas L 24 1B 378 346 46 74 18 1 13 46 28 137 6 1
Alex Erro B 26 C 301 278 34 67 11 1 3 26 20 64 3 2
Bradley Zimmer L 31 CF 338 294 40 56 9 1 6 33 28 136 13 5
Phillip Sikes R 25 CF 445 401 54 87 22 3 7 48 32 150 18 4
Eduardo Lopez B 22 RF 333 301 37 67 13 1 4 29 27 97 6 2
Matthew Lugo R 23 3B 434 405 48 93 20 3 6 45 20 117 7 4
Tyler McDonough B 25 LF 413 380 45 84 15 5 5 38 27 130 12 4
Caleb Hamilton R 29 C 249 220 22 42 9 1 6 24 27 90 1 1
Nathan Hickey L 24 C 396 350 45 81 20 1 13 50 39 118 1 1
Tyler Dearden L 25 LF 356 318 38 74 14 1 8 39 31 103 0 1
Edwin Díaz R 28 2B 267 245 23 45 10 2 8 29 18 110 1 1
Bryan Gonzalez R 18 2B 119 111 10 23 3 0 1 8 7 39 2 1
Blaze Jordan R 21 1B 549 512 55 135 29 1 12 65 30 99 1 1
Tyler Esplin L 24 1B 222 207 23 44 11 2 1 17 14 65 1 1
Nick Decker L 24 LF 280 251 33 47 13 2 5 29 23 111 4 2
Tyler Miller L 24 1B 399 373 44 86 15 3 8 43 19 120 9 3

Batters – Advanced
Player PA BA OBP SLG OPS+ ISO BABIP Def WAR wOBA RC
Rafael Devers 655 .280 .351 .517 131 .237 .307 -6 3.6 .366 108
Alex Verdugo 591 .293 .350 .450 115 .157 .329 3 2.2 .344 86
Trevor Story 411 .246 .314 .441 102 .195 .319 5 2.2 .323 55
Justin Turner 514 .282 .356 .438 114 .156 .324 4 2.0 .346 72
Ceddanne Rafaela 557 .261 .300 .426 94 .165 .324 7 1.9 .312 74
Masataka Yoshida 553 .295 .356 .457 119 .162 .317 -2 1.9 .349 83
Triston Casas 502 .264 .367 .479 127 .215 .317 -4 1.9 .364 76
David Hamilton 496 .235 .312 .361 82 .126 .304 4 1.6 .298 61
Wilyer Abreu 474 .246 .338 .408 101 .162 .320 7 1.5 .327 61
Kyle Teel 456 .261 .336 .361 89 .100 .332 1 1.5 .309 52
Jarren Duran 453 .255 .313 .424 98 .169 .328 0 1.5 .318 61
Enmanuel Valdez 457 .253 .322 .436 103 .182 .308 -2 1.4 .326 60
Adam Duvall 389 .239 .298 .485 107 .245 .298 -2 1.3 .330 52
Nick Sogard 444 .256 .332 .358 88 .102 .316 4 1.1 .306 50
Bobby Dalbec 486 .224 .305 .425 95 .201 .321 -3 1.0 .316 58
Eddy Alvarez 264 .254 .347 .406 104 .152 .342 -1 1.0 .332 34
Ronaldo Hernández 403 .253 .303 .414 92 .161 .295 -2 1.0 .310 47
Chase Meidroth 489 .242 .342 .336 86 .095 .307 0 1.0 .307 50
Rob Refsnyder 294 .266 .358 .405 107 .139 .343 1 0.9 .336 38
Roman Anthony 490 .230 .316 .360 83 .130 .310 3 0.9 .300 52
Connor Wong 373 .249 .296 .416 91 .168 .339 -3 0.8 .307 45
Ryan Fitzgerald 411 .231 .297 .392 85 .161 .309 4 0.8 .298 46
Marcelo Mayer 393 .238 .300 .403 89 .165 .314 -2 0.7 .304 46
Reese McGuire 250 .265 .308 .365 82 .100 .343 3 0.7 .294 26
Niko Goodrum 321 .236 .336 .373 93 .138 .324 5 0.7 .314 38
Nick Yorke 500 .233 .292 .351 74 .118 .309 7 0.6 .282 51
Mark Contreras 417 .232 .295 .382 82 .150 .322 1 0.5 .294 47
Christian Arroyo 287 .256 .301 .387 85 .132 .307 2 0.5 .298 32
Pablo Reyes 352 .263 .325 .395 94 .132 .308 -4 0.5 .314 44
Marcus Wilson 365 .209 .301 .372 82 .163 .341 6 0.5 .297 39
Elih Marrero 213 .226 .305 .305 67 .079 .318 3 0.4 .276 21
Yu Chang 256 .237 .290 .394 83 .157 .308 -2 0.3 .297 28
Christian Koss 417 .241 .282 .356 72 .115 .316 1 0.3 .278 42
Stephen Scott 391 .228 .312 .376 86 .147 .282 -7 0.3 .302 42
Niko Kavadas 481 .201 .326 .373 90 .172 .317 1 0.2 .311 50
Corey Rosier 445 .246 .308 .358 80 .112 .321 2 0.1 .293 51
Brainer Bonaci 417 .243 .305 .354 78 .111 .315 -4 0.1 .290 43
Max Ferguson 422 .205 .295 .305 64 .100 .306 1 -0.1 .271 37
Narciso Crook 362 .214 .296 .359 77 .146 .323 3 -0.1 .290 37
Eddinson Paulino 535 .237 .295 .376 81 .139 .305 -10 -0.1 .293 59
Alex Binelas 378 .214 .275 .384 76 .171 .311 5 -0.2 .286 38
Alex Erro 301 .241 .292 .320 66 .079 .303 -2 -0.2 .272 27
Bradley Zimmer 338 .190 .290 .289 58 .099 .329 2 -0.3 .264 29
Phillip Sikes 445 .217 .285 .339 69 .122 .328 -3 -0.4 .276 44
Eduardo Lopez 333 .223 .288 .312 63 .090 .315 5 -0.4 .268 29
Matthew Lugo 434 .230 .273 .338 65 .109 .309 2 -0.4 .267 40
Tyler McDonough 413 .221 .277 .326 63 .105 .322 7 -0.5 .265 38
Caleb Hamilton 249 .191 .281 .323 64 .132 .290 -5 -0.5 .270 21
Nathan Hickey 396 .231 .313 .406 93 .174 .311 -19 -0.5 .313 45
Tyler Dearden 356 .233 .307 .358 80 .126 .319 -3 -0.6 .294 35
Edwin (II) Diaz 267 .184 .247 .339 57 .155 .291 0 -0.6 .256 21
Bryan Gonzalez 119 .207 .261 .261 43 .054 .310 -3 -0.7 .236 8
Blaze Jordan 549 .264 .308 .395 89 .131 .307 -6 -0.8 .304 63
Tyler Esplin 222 .213 .266 .300 53 .087 .305 2 -0.9 .251 17
Nick Decker 280 .187 .268 .315 58 .127 .311 0 -1.0 .260 23
Tyler Miller 399 .231 .273 .351 68 .121 .318 0 -1.1 .272 39

Batters – Top Near-Age Offensive Comps
Player Hit Comp 1 Hit Comp 2 Hit Comp 3
Rafael Devers Kyle Seager Willie Jones Richie Hebner
Alex Verdugo Norm Larker Lloyd Waner Whitey Lockman
Trevor Story Pat Kelly Juan Samuel Niko Goodrum
Justin Turner Paul Konerko Pedro Guerrero Charlie Grimm
Ceddanne Rafaela Ivan Calderon Corey Patterson Glenn Burke
Masataka Yoshida Manny Jimenez Rip Radcliff Melky Cabrera
Triston Casas Boog Powell Craig Kusick Mike Epstein
David Hamilton Andy Fox Scott Earl Ricky Gutierrez
Wilyer Abreu Andy Van Slyke Rusty Torres Johnny Lewis
Kyle Teel Jack Hiatt Al Lopez Gene Dusan
Jarren Duran Mark Little Scott Cousins Jason Repko
Enmanuel Valdez Jim Gantner James Christensen Fran Mullins
Adam Duvall Bill Renna Ray Sadler Alfonso Soriano
Nick Sogard Sergio Ferrer Larry Huff Torre Tyson
Bobby Dalbec Lee Elia Billy Myers Tom Dodd
Eddy Alvarez Chris Clapinski Shawn Gilbert Jace Peterson
Ronaldo Hernández Josh Phegley Jim Price Damon Berryhill
Chase Meidroth Bob Juday Kevin Seitzer Roger Holt
Rob Refsnyder Gene Hermanski Dave Stegman Tim Hendryx
Roman Anthony Aaron Hicks Brian Goodwin Karl Rhodes
Connor Wong John Hester Jim Command Darrell Miller
Ryan Fitzgerald Chris Basak Scott Pratt Jeff Moronko
Marcelo Mayer Ramon German Sammy Esposito Brian Burgamy
Reese McGuire Bryan Holaday John Sevcik Jacob Stallings
Niko Goodrum Jason McDonald Ryan Langerhans Joe Christopher
Nick Yorke Manny Francois Ramon Bautista Dave Orndorff
Mark Contreras Clete Thomas Colin Porter Nic Jackson
Christian Arroyo Ryan Brett Jeff Richardson Lipso Nava
Pablo Reyes Jeff Huson Jordany Valdespin Eddy Garabito
Marcus Wilson Skip Kiil Brett Jackson Willie Argo
Elih Marrero Mike Napoli Dennis Pelfrey Chris O’Dowd
Yu Chang Benji Gil Juan Silverio Ryan Mount
Christian Koss Leo Vargas Tony Beasley Charlie Benson
Stephen Scott JD Closser Adam Melhuse Greg Mahlberg
Niko Kavadas Josh Ockimey Matt Skole Ryan Noda
Corey Rosier William Ray Alejandro De Aza Tom Goodwin
Brainer Bonaci Chris Pittaro Justin Bohn Marcus Lemon
Max Ferguson R.D. Long Jason McDonald Anderson Machado
Narciso Crook Chad Hermansen Willie Argo Mike Kelly
Eddinson Paulino Ian Desmond Ehire Adrianza Osvaldo Abreu
Alex Binelas Derek Jones Todd Dunn Jake Adams
Alex Erro Phil Avlas John Wilson Johnny Hawkins
Bradley Zimmer Lorenzo Scott Chris Powell Tyrone Pendergrass
Phillip Sikes Todd Samples Juan Tolentino Tony Fisher
Eduardo Lopez Mark Simmons Tarrence Patterson Wang-Wei Lin
Matthew Lugo Jeff Eure Bobby Marshall Frank Garnett
Tyler McDonough Rashad Crawford Robbie Garvey Thomas Milone
Caleb Hamilton Buddy Pryor Rick Colbert John Stefero
Nathan Hickey Mike Martin Alex Avila Pete Varney
Tyler Dearden Jeff Baldwin Brad Downing Curt Reed
Edwin (II) Diaz Tom Epperly Bryan Britt Chris Maples
Bryan Gonzalez Lance Hudson Willis Whitehurst George Goodrich
Blaze Jordan Gerald Orlandini Carlos Rivera Fred Hopke
Tyler Esplin Brian Hertel Ryan Davis Jose Medina
Nick Decker Drew Rundle Jesus Hernandez Lute Johnson
Tyler Miller Alonzo Harris Jeremy Jackson Aaron Harvey

Batters – 80th/20th Percentiles
Player 80th BA 80th OBP 80th SLG 80th OPS+ 80th WAR 20th BA 20th OBP 20th SLG 20th OPS+ 20th WAR
Rafael Devers .305 .375 .573 150 5.1 .256 .324 .460 111 2.1
Alex Verdugo .322 .377 .503 136 3.8 .264 .323 .402 96 0.9
Trevor Story .271 .340 .493 124 3.3 .218 .289 .379 82 1.2
Justin Turner .309 .384 .488 132 3.1 .250 .324 .384 92 0.7
Ceddanne Rafaela .287 .325 .481 113 3.2 .235 .275 .377 74 0.5
Masataka Yoshida .323 .385 .508 139 3.3 .264 .326 .404 98 0.5
Triston Casas .293 .395 .541 150 3.2 .237 .338 .412 106 0.6
David Hamilton .263 .341 .411 102 2.8 .209 .289 .320 66 0.5
Wilyer Abreu .273 .363 .469 121 2.7 .219 .310 .362 84 0.5
Kyle Teel .294 .362 .407 107 2.4 .231 .300 .317 69 0.2
Jarren Duran .281 .336 .482 116 2.6 .226 .280 .374 76 0.3
Enmanuel Valdez .281 .347 .492 122 2.5 .227 .295 .390 83 0.3
Adam Duvall .266 .323 .552 130 2.4 .211 .271 .415 86 0.2
Nick Sogard .283 .360 .403 106 2.0 .232 .305 .318 71 0.1
Bobby Dalbec .251 .331 .489 116 2.3 .197 .282 .370 76 -0.1
Eddy Alvarez .284 .376 .466 125 1.7 .226 .319 .352 82 0.3
Ronaldo Hernández .289 .335 .481 117 2.3 .224 .276 .364 73 0.1
Chase Meidroth .267 .366 .379 102 1.9 .212 .315 .300 69 0.0
Rob Refsnyder .298 .392 .457 127 1.6 .234 .328 .355 86 0.2
Roman Anthony .260 .345 .416 105 2.1 .200 .289 .303 63 -0.3
Connor Wong .277 .327 .474 110 1.7 .220 .267 .358 67 -0.3
Ryan Fitzgerald .263 .331 .454 109 1.9 .204 .268 .343 66 -0.3
Marcelo Mayer .272 .337 .464 115 2.0 .213 .272 .356 70 -0.2
Reese McGuire .303 .347 .420 106 1.5 .234 .280 .318 63 0.1
Niko Goodrum .262 .365 .419 110 1.4 .207 .300 .323 71 -0.1
Nick Yorke .263 .321 .399 93 1.7 .207 .270 .308 57 -0.5
Mark Contreras .262 .324 .438 103 1.7 .204 .260 .334 60 -0.5
Christian Arroyo .286 .334 .442 105 1.2 .224 .274 .334 61 -0.3
Pablo Reyes .294 .358 .445 113 1.3 .233 .297 .344 73 -0.4
Marcus Wilson .234 .329 .428 102 1.3 .178 .271 .315 59 -0.5
Elih Marrero .256 .345 .344 88 0.9 .192 .275 .257 46 -0.2
Yu Chang .271 .318 .453 106 1.1 .212 .264 .341 64 -0.3
Christian Koss .271 .308 .409 92 1.3 .214 .252 .307 53 -0.7
Stephen Scott .261 .342 .433 108 1.4 .201 .278 .322 66 -0.7
Niko Kavadas .232 .355 .429 108 1.2 .169 .293 .317 65 -1.2
Corey Rosier .273 .331 .409 97 1.0 .222 .281 .321 64 -0.8
Brainer Bonaci .269 .331 .407 97 1.0 .216 .280 .307 59 -0.8
Max Ferguson .237 .326 .352 84 0.9 .176 .268 .263 44 -1.1
Narciso Crook .243 .324 .416 97 0.8 .186 .267 .313 57 -0.9
Eddinson Paulino .269 .327 .432 102 1.3 .210 .268 .332 64 -1.2
Alex Binelas .246 .304 .428 96 0.7 .186 .246 .323 56 -1.2
Alex Erro .274 .329 .365 88 0.7 .206 .261 .280 48 -0.9
Bradley Zimmer .224 .322 .347 82 0.6 .161 .258 .245 39 -1.2
Phillip Sikes .244 .309 .386 88 0.6 .187 .258 .298 52 -1.4
Eduardo Lopez .253 .318 .357 84 0.4 .195 .263 .268 47 -1.1
Matthew Lugo .253 .298 .379 81 0.4 .201 .246 .292 46 -1.5
Tyler McDonough .253 .308 .371 82 0.6 .195 .253 .280 46 -1.3
Caleb Hamilton .226 .317 .387 87 0.2 .163 .247 .272 43 -1.1
Nathan Hickey .262 .343 .465 116 0.5 .197 .280 .351 69 -1.6
Tyler Dearden .258 .332 .407 98 0.2 .204 .278 .310 62 -1.4
Edwin (II) Diaz .216 .277 .417 83 0.2 .154 .217 .288 37 -1.3
Bryan Gonzalez .246 .298 .305 66 -0.4 .175 .234 .227 27 -0.9
Blaze Jordan .290 .337 .448 108 0.5 .233 .278 .344 68 -2.2
Tyler Esplin .244 .299 .343 74 -0.3 .182 .236 .249 35 -1.4
Nick Decker .216 .299 .365 78 -0.3 .156 .240 .261 36 -1.7
Tyler Miller .263 .301 .404 87 -0.2 .207 .248 .305 49 -2.0

Batters – Projected Splits
Player BA vs. L OBP vs. L SLG vs. L BA vs. R OBP vs. R SLG vs. R
Rafael Devers .269 .338 .463 .285 .357 .540
Alex Verdugo .277 .335 .406 .299 .356 .467
Trevor Story .256 .328 .470 .241 .307 .427
Justin Turner .276 .353 .434 .285 .358 .440
Ceddanne Rafaela .260 .299 .433 .262 .301 .422
Masataka Yoshida .279 .344 .434 .301 .361 .466
Triston Casas .250 .352 .441 .271 .373 .497
David Hamilton .228 .303 .349 .238 .316 .367
Wilyer Abreu .233 .319 .377 .254 .347 .425
Kyle Teel .252 .323 .348 .264 .340 .366
Jarren Duran .246 .309 .397 .260 .315 .436
Enmanuel Valdez .245 .310 .406 .258 .329 .453
Adam Duvall .245 .306 .491 .237 .295 .482
Nick Sogard .262 .343 .362 .253 .325 .355
Bobby Dalbec .236 .319 .435 .217 .296 .419
Eddy Alvarez .243 .341 .400 .260 .350 .409
Ronaldo Hernández .261 .310 .429 .246 .297 .403
Chase Meidroth .252 .357 .348 .236 .332 .330
Rob Refsnyder .274 .381 .427 .259 .338 .385
Roman Anthony .216 .302 .333 .234 .321 .369
Connor Wong .248 .301 .428 .249 .293 .408
Ryan Fitzgerald .221 .290 .371 .237 .301 .405
Marcelo Mayer .238 .302 .400 .238 .300 .405
Reese McGuire .246 .295 .298 .272 .312 .387
Niko Goodrum .259 .360 .400 .225 .326 .361
Nick Yorke .235 .295 .350 .232 .290 .351
Mark Contreras .219 .286 .342 .239 .301 .406
Christian Arroyo .260 .304 .385 .253 .299 .389
Pablo Reyes .275 .342 .437 .254 .311 .362
Marcus Wilson .219 .320 .393 .197 .277 .345
Elih Marrero .221 .302 .273 .230 .307 .327
Yu Chang .242 .299 .404 .234 .284 .387
Christian Koss .243 .286 .358 .240 .278 .355
Stephen Scott .227 .306 .364 .229 .315 .381
Niko Kavadas .192 .315 .358 .206 .331 .379
Corey Rosier .232 .297 .328 .253 .313 .372
Brainer Bonaci .241 .305 .365 .244 .305 .347
Max Ferguson .198 .285 .289 .209 .300 .313
Narciso Crook .217 .304 .362 .211 .288 .357
Eddinson Paulino .225 .284 .359 .241 .300 .382
Alex Binelas .206 .268 .343 .217 .278 .402
Alex Erro .235 .283 .306 .244 .297 .328
Bradley Zimmer .190 .293 .253 .191 .289 .302
Phillip Sikes .226 .301 .368 .211 .276 .321
Eduardo Lopez .216 .283 .284 .226 .291 .327
Matthew Lugo .234 .278 .360 .226 .268 .322
Tyler McDonough .217 .278 .326 .223 .276 .326
Caleb Hamilton .198 .298 .349 .184 .266 .298
Nathan Hickey .222 .297 .364 .235 .319 .422
Tyler Dearden .223 .302 .320 .237 .310 .377
Edwin (II) Diaz .179 .250 .321 .187 .245 .353
Bryan Gonzalez .217 .265 .239 .200 .257 .277
Blaze Jordan .276 .325 .398 .256 .297 .392
Tyler Esplin .209 .264 .284 .214 .267 .307
Nick Decker .173 .262 .280 .193 .270 .330
Tyler Miller .217 .263 .330 .236 .277 .360

Pitchers – Standard
Player T Age W L ERA G GS IP H ER HR BB SO
Brayan Bello R 25 11 11 4.28 28 27 147.3 154 70 16 54 134
Garrett Whitlock R 28 6 4 3.73 30 12 89.3 86 37 11 19 94
Nick Pivetta R 31 8 9 4.55 32 20 132.7 123 67 21 49 138
Chris Sale L 35 5 5 4.30 18 18 90.0 85 43 13 29 106
Kutter Crawford R 28 6 6 4.49 26 19 106.3 104 53 15 33 103
Josh Winckowski R 26 6 5 4.36 43 12 99.0 102 48 12 33 90
Isaac Coffey R 24 8 8 4.61 22 21 109.3 112 56 16 33 94
Tanner Houck R 28 7 7 4.62 25 21 103.3 100 53 14 39 107
James Paxton L 35 7 9 4.78 23 22 107.3 113 57 17 45 112
Brian Van Belle R 27 6 9 4.94 24 22 118.3 136 65 18 33 82
Victor Santos R 23 6 7 4.93 22 18 107.7 117 59 14 33 75
Brandon Walter L 27 4 4 4.72 27 16 103.0 111 54 13 32 82
Hunter Dobbins R 24 6 7 4.79 20 19 97.7 108 52 13 31 73
Grant Gambrell R 26 6 7 5.12 20 20 103.7 115 59 16 39 77
Wikelman Gonzalez R 22 6 7 5.16 25 25 104.7 100 60 14 66 107
Shane Drohan L 25 6 9 5.20 24 23 107.3 116 62 15 55 88
Chris Murphy L 26 5 5 5.04 29 14 103.7 108 58 14 49 88
Angel Bastardo R 22 4 5 5.19 23 23 102.3 109 59 15 53 85
Yusniel Padron-Artiles R 26 4 6 5.16 19 14 82.0 94 47 13 26 62
Justin Hagenman R 27 3 4 4.57 38 4 69.0 73 35 9 21 61
Corey Kluber R 38 5 7 5.26 21 17 87.3 100 51 14 26 75
Chih-Jung Liu R 25 5 8 5.31 23 21 95.0 102 56 15 47 81
John Schreiber R 30 3 2 4.24 52 2 57.3 54 27 7 23 61
Matt Dermody L 33 3 3 4.92 13 10 56.7 64 31 8 16 42
Chris Martin R 38 3 2 3.95 49 0 43.3 48 19 6 8 40
Kenley Jansen R 36 4 3 4.17 49 0 45.3 41 21 7 17 52
Nick Robertson R 25 3 2 4.21 45 1 51.3 50 24 6 18 54
Mauricio Llovera R 28 1 2 4.58 26 4 37.3 36 19 5 13 38
Isaiah Campbell R 26 5 4 4.21 44 1 47.0 46 22 6 18 45
Brennan Bernardino L 32 1 2 4.57 47 5 45.3 45 23 6 19 46
Jacob Webb R 30 3 3 4.30 59 1 60.7 54 29 8 24 67
Rio Gomez L 29 2 4 5.34 25 10 64.0 69 38 10 32 57
Ryan Fernandez R 26 4 4 4.32 37 0 50.0 52 24 7 16 46
Chase Shugart R 27 3 5 5.26 33 8 63.3 74 37 9 23 42
Sterling Sharp R 29 3 5 5.64 19 16 75.0 90 47 11 36 45
Bryan Mata R 25 3 5 5.60 18 15 62.7 64 39 9 40 57
Frank German R 26 2 4 5.29 28 7 51.0 52 30 7 26 48
Alex Hoppe R 25 3 4 4.60 42 0 47.0 50 24 6 17 40
Taylor Broadway R 27 2 2 4.81 32 1 43.0 46 23 6 16 35
Norwith Gudiño R 28 3 5 5.53 24 7 53.7 61 33 8 27 38
Joely Rodríguez L 32 1 2 4.73 36 0 32.3 35 17 4 14 34
Andrew Politi R 28 4 6 5.06 43 3 58.7 61 33 8 27 52
Brendan Nail L 28 2 4 5.32 33 3 45.7 48 27 6 22 39
Zack Kelly R 29 3 3 5.18 34 2 41.7 41 24 6 24 42
Oddanier Mosqueda L 25 3 4 5.14 44 2 56.0 55 32 8 30 55
Zack Weiss R 32 2 2 5.10 36 0 42.3 42 24 6 23 47
Ryan Miller R 28 3 4 5.14 34 1 49.0 54 28 7 19 40
Dinelson Lamet R 31 2 2 5.54 22 4 37.3 37 23 6 20 43
Teddy Stankiewicz R 30 3 5 6.04 17 14 70.0 86 47 11 34 37
Joe Jacques L 29 2 4 5.26 46 2 53.0 58 31 7 21 42
Ryan Zeferjahn R 26 2 4 5.66 30 5 47.7 49 30 7 30 45
Christopher Troye R 25 1 1 5.15 36 0 43.7 39 25 6 33 53
Cam Booser L 32 2 4 5.16 39 0 45.3 48 26 7 24 41
Andrés Núñez R 28 3 4 5.37 41 1 52.0 56 31 7 23 41
Kyle Barraclough R 34 3 5 5.87 21 7 53.7 57 35 9 35 45
Jake Faria R 30 2 2 6.08 20 8 53.3 62 36 9 31 42
Robert Kwiatkowski R 27 1 2 5.51 31 2 50.7 61 31 8 19 27
Justin Garza R 30 2 3 5.76 37 3 50.0 53 32 8 29 45
Theo Denlinger R 27 2 4 5.49 34 0 41.0 43 25 6 25 38
Dylan Spacke R 26 1 3 5.90 29 2 50.3 58 33 7 27 34
Brendan Cellucci L 26 1 3 5.94 36 2 47.0 50 31 7 35 44
Wyatt Olds R 24 3 7 6.33 25 15 69.7 73 49 10 48 58
Skylar Arias L 27 1 2 6.59 21 1 27.3 26 20 4 23 30
Cody Scroggins R 27 1 2 6.27 27 0 33.0 37 23 5 21 24
Jorge Benitez L 25 2 4 5.94 37 0 50.0 52 33 8 36 48

Pitchers – Advanced
Player IP K/9 BB/9 HR/9 BB% K% BABIP ERA+ FIP ERA- WAR
Brayan Bello 147.3 8.2 3.3 1.0 8.4% 20.8% .317 104 4.03 96 2.2
Garrett Whitlock 89.3 9.5 1.9 1.1 5.1% 25.4% .309 119 3.49 84 1.9
Nick Pivetta 132.7 9.4 3.3 1.4 8.6% 24.3% .289 98 4.45 103 1.7
Chris Sale 90.0 10.6 2.9 1.3 7.7% 28.0% .313 103 3.98 97 1.4
Kutter Crawford 106.3 8.7 2.8 1.3 7.3% 22.8% .299 99 4.20 101 1.4
Josh Winckowski 99.0 8.2 3.0 1.1 7.7% 21.1% .310 102 4.10 98 1.4
Isaac Coffey 109.3 7.7 2.7 1.3 7.0% 20.0% .298 96 4.59 104 1.3
Tanner Houck 103.3 9.3 3.4 1.2 8.8% 24.0% .305 96 4.34 104 1.3
James Paxton 107.3 9.4 3.8 1.4 9.4% 23.4% .321 93 4.54 108 1.1
Brian Van Belle 118.3 6.2 2.5 1.4 6.3% 15.7% .309 90 4.78 112 1.1
Victor Santos 107.7 6.3 2.8 1.2 7.1% 16.1% .300 90 4.61 111 1.1
Brandon Walter 103.0 7.2 2.8 1.1 7.1% 18.3% .309 94 4.44 106 1.0
Hunter Dobbins 97.7 6.7 2.9 1.2 7.2% 17.0% .308 92 4.60 108 1.0
Grant Gambrell 103.7 6.7 3.4 1.4 8.5% 16.7% .305 87 5.05 116 0.8
Wikelman Gonzalez 104.7 9.2 5.7 1.2 13.6% 22.1% .301 86 4.96 116 0.8
Shane Drohan 107.3 7.4 4.6 1.3 11.2% 17.9% .309 85 5.08 117 0.8
Chris Murphy 103.7 7.6 4.3 1.2 10.6% 19.0% .304 88 4.90 114 0.7
Angel Bastardo 102.3 7.5 4.7 1.3 11.2% 17.9% .305 85 5.14 117 0.7
Yusniel Padron-Artiles 82.0 6.8 2.9 1.4 7.2% 17.2% .313 86 4.86 116 0.6
Justin Hagenman 69.0 8.0 2.7 1.2 7.0% 20.5% .312 97 4.18 103 0.6
Corey Kluber 87.3 7.7 2.7 1.4 6.8% 19.5% .322 84 4.76 119 0.5
Chih-Jung Liu 95.0 7.7 4.5 1.4 10.8% 18.6% .306 84 5.24 120 0.5
John Schreiber 57.3 9.6 3.6 1.1 9.3% 24.7% .305 105 4.07 96 0.5
Matt Dermody 56.7 6.7 2.5 1.3 6.5% 17.0% .311 90 4.72 111 0.5
Chris Martin 43.3 8.3 1.7 1.2 4.3% 21.6% .326 112 3.83 89 0.5
Kenley Jansen 45.3 10.3 3.4 1.4 8.8% 26.9% .296 106 4.23 94 0.5
Nick Robertson 51.3 9.5 3.2 1.1 8.1% 24.2% .312 105 3.84 95 0.4
Mauricio Llovera 37.3 9.2 3.1 1.2 8.1% 23.8% .304 97 4.25 103 0.4
Isaiah Campbell 47.0 8.6 3.4 1.1 8.7% 21.8% .301 105 4.28 95 0.4
Brennan Bernardino 45.3 9.1 3.8 1.2 9.5% 23.1% .310 97 4.53 103 0.3
Jacob Webb 60.7 9.9 3.6 1.2 9.3% 25.9% .293 95 4.10 105 0.2
Rio Gomez 64.0 8.0 4.5 1.4 11.0% 19.5% .312 83 5.19 121 0.3
Ryan Fernandez 50.0 8.3 2.9 1.3 7.4% 21.4% .310 103 4.26 97 0.3
Chase Shugart 63.3 6.0 3.3 1.3 8.0% 14.7% .313 84 5.01 119 0.2
Sterling Sharp 75.0 5.4 4.3 1.3 10.3% 12.9% .312 79 5.56 127 0.2
Bryan Mata 62.7 8.2 5.7 1.3 13.7% 19.5% .302 79 5.51 126 0.2
Frank German 51.0 8.5 4.6 1.2 11.2% 20.6% .308 84 4.86 119 0.2
Alex Hoppe 47.0 7.7 3.3 1.1 8.2% 19.2% .310 96 4.36 104 0.1
Taylor Broadway 43.0 7.3 3.3 1.3 8.2% 17.9% .305 92 4.56 109 0.1
Norwith Gudiño 53.7 6.4 4.5 1.3 10.8% 15.3% .308 80 5.40 125 0.1
Joely Rodríguez 32.3 9.5 3.9 1.1 9.7% 23.4% .337 94 4.06 107 0.1
Andrew Politi 58.7 8.0 4.1 1.2 10.2% 19.7% .306 88 4.84 114 0.1
Brendan Nail 45.7 7.7 4.3 1.2 10.7% 18.9% .307 83 4.96 120 0.0
Zack Kelly 41.7 9.1 5.2 1.3 12.6% 22.0% .304 85 5.13 117 0.0
Oddanier Mosqueda 56.0 8.8 4.8 1.3 12.0% 21.9% .301 86 5.13 116 0.0
Zack Weiss 42.3 10.0 4.9 1.3 12.0% 24.5% .319 87 4.65 115 0.0
Ryan Miller 49.0 7.3 3.5 1.3 8.7% 18.3% .313 86 4.89 116 0.0
Dinelson Lamet 37.3 10.4 4.8 1.4 11.7% 25.1% .316 80 4.81 125 -0.1
Teddy Stankiewicz 70.0 4.8 4.4 1.4 10.4% 11.3% .310 73 5.83 136 -0.1
Joe Jacques 53.0 7.1 3.6 1.2 8.9% 17.8% .311 84 5.03 119 -0.1
Ryan Zeferjahn 47.7 8.5 5.7 1.3 13.4% 20.1% .307 78 5.48 128 -0.1
Christopher Troye 43.7 10.9 6.8 1.2 15.9% 25.6% .306 86 5.02 116 -0.1
Cam Booser 45.3 8.1 4.8 1.4 11.4% 19.5% .308 86 5.11 116 -0.1
Andrés Núñez 52.0 7.1 4.0 1.2 9.8% 17.5% .306 83 5.16 121 -0.1
Kyle Barraclough 53.7 7.5 5.9 1.5 13.8% 17.7% .300 76 5.94 132 -0.1
Jake Faria 53.3 7.1 5.2 1.5 12.2% 16.5% .317 73 5.84 137 -0.1
Robert Kwiatkowski 50.7 4.8 3.4 1.4 8.2% 11.6% .305 80 5.54 124 -0.2
Justin Garza 50.0 8.1 5.2 1.4 12.6% 19.6% .308 77 5.46 130 -0.2
Theo Denlinger 41.0 8.3 5.5 1.3 13.0% 19.8% .311 81 5.35 124 -0.2
Dylan Spacke 50.3 6.1 4.8 1.3 11.5% 14.5% .311 75 5.62 133 -0.3
Brendan Cellucci 47.0 8.4 6.7 1.3 15.2% 19.1% .314 75 5.74 134 -0.3
Wyatt Olds 69.7 7.5 6.2 1.3 14.3% 17.3% .301 70 6.21 143 -0.4
Skylar Arias 27.3 9.9 7.6 1.3 17.3% 22.6% .306 67 6.26 149 -0.4
Cody Scroggins 33.0 6.5 5.7 1.4 13.4% 15.3% .308 71 6.13 142 -0.4
Jorge Benitez 50.0 8.6 6.5 1.4 15.0% 20.0% .308 75 5.94 134 -0.5

Pitchers – Top Near-Age Comps
Player Pit Comp 1 Pit Comp 2 Pit Comp 3
Brayan Bello Shelby Miller Wily Peralta Jon Gray
Garrett Whitlock Doug Bird Bryn Smith Dutch Ulrich
Nick Pivetta Red Ruffing Howard Ehmke Robert Person
Chris Sale Teddy Higuera David Price Joe Nuxhall
Kutter Crawford Si Johnson Tom Bradley Bruce Kison
Josh Winckowski Adrian Houser Fred Beene Juan Dominguez
Isaac Coffey Taijuan Walker Henderson Alvarez Luis Cessa
Tanner Houck Pete Smith Bill Bevens Tommy Greene
James Paxton Jerry Koosman Juan Pizarro Gary Peters
Brian Van Belle Kyle Kendrick Jim Bagby Marcos Lopez
Victor Santos Taylor Clarke Jose Bautista Bill Fultz
Brandon Walter Niles Jordan Rick Honeycutt Horacio Estrada 에스트라다
Hunter Dobbins Henderson Alvarez Erasmo Ramirez Luis Cessa
Grant Gambrell Anthony Ranaudo 레나도 Cody Anderson Felipe Lira
Wikelman Gonzalez Gary Kanwisher Scott Scudder Dick Hughes
Shane Drohan Shawn Morimando Dave Owen Mike Connolly
Chris Murphy Fabio Castro Jalen Beeks Joe Kraemer
Angel Bastardo Jack Jenkins Mike James Carlos Carrasco
Yusniel Padron-Artiles D.J. Brown Mike McCarthy Greg LaFever
Justin Hagenman Matt Rusch Luis Andujar Joe Tully
Corey Kluber Shane Reynolds Andy Ashby Cal McLish
Chih-Jung Liu Isauro Pineda Grayson Long Scott Arnold
John Schreiber Mike Perez Will Harris Scott Linebrink
Matt Dermody Jack Kralick Hal Newhouser Jason Jacome
Chris Martin Doug Jones LaTroy Hawkins Warren Hacker
Kenley Jansen Santiago Casilla Dave Veres Joaquin Benoit
Nick Robertson George Frazier Pete Hamner Dario Veras 베라스
Mauricio Llovera Pete Ladd Casey Fien Joel Peralta
Isaiah Campbell Jim Donohue Warner Madrigal Heath Hembree
Brennan Bernardino Rich Rodriguez Craig Breslow Fernando Abad
Jacob Webb Mace Brown Cliff Politte Tom Sturdivant
Rio Gomez Brian Johnson Brian Tallet Jake Woods
Ryan Fernandez Juan Carlos Oviedo Santos Hernandez Fred Rath
Chase Shugart Ted Sadowski Mark Lockenmeyer Brian Smith
Sterling Sharp Ryan Glynn 라이언 Logan Bawcom Juan Carlos Sulbaran
Bryan Mata Bill Faul John Burke Gerald Herron
Frank German Pete Andrelczyk Johnny Barbato Andrew Bellatti
Alex Hoppe Matt Stites Drew Smith Erik Stiller
Taylor Broadway Ed Bauta Chuck Dale Pete Parise
Norwith Gudiño Bill Abernathie Les Webber Paul Patterson
Joely Rodríguez Jim Poole Jack O’Connor Fred Scherman
Andrew Politi Howie Judson Kane Davis 데이비스 Rick Bauer 바우어
Brendan Nail Cookie Cuccurullo Kevin Hickey Bob Macdonald
Zack Kelly Larry Sherry Bob Humphreys Alan Mills
Oddanier Mosqueda Chubby Dean C.J. Riefenhauser Eury De La Rosa
Zack Weiss Mark Corey Brandon Medders Louis Coleman
Ryan Miller Paul Phillips Jason Creasy Andrew Robinson
Dinelson Lamet John Purdin Larry Sherry Ron Davis
Teddy Stankiewicz Jorge De Paula Mikey O’Brien Shane Komine
Joe Jacques Kevin Hickey Russ Swan Jack Spring
Ryan Zeferjahn Corey Copping Ryan Garton Barry Manuel
Christopher Troye Jhan Marinez Wilmer Font 폰트 Tommy Kahnle
Cam Booser Edgar Huerta John Curtis Tommy Hottovy
Andrés Núñez Chuck Seelbach Bob Miller Mark Dewey
Kyle Barraclough Roy Parmelee Joe Coleman Ray Moore
Jake Faria Bryan Mitchell Thomas Lakos Brian Stokes
Robert Kwiatkowski Rich Humphrey Edwin Almonte Justin Souza
Justin Garza Victor Marte Josh Zeid Andre Rienzo
Theo Denlinger Joe Kerrigan Brian Drahman Jeff Nelson
Dylan Spacke Jaime Bluma Jacob Lemoine Mark Peterson
Brendan Cellucci Ryne Slack Gary Hart Russ Rohlicek
Wyatt Olds Roric Harrison Brian Innis Jim Olson
Skylar Arias Larry Heise Gabby Rodriguez Bill White
Cody Scroggins Marcel Lachemann Mike Heinen John Ogiltree
Jorge Benitez Scott Neal Jose Fernandez Matt Marksberry

Pitchers – Splits and Percentiles
Player BA vs. L OBP vs. L SLG vs. L BA vs. R OBP vs. R SLG vs. R 80th WAR 20th WAR 80th ERA 20th ERA
Brayan Bello .269 .333 .459 .258 .321 .365 3.1 1.1 3.81 5.00
Garrett Whitlock .256 .299 .423 .240 .282 .385 2.6 1.1 3.02 4.61
Nick Pivetta .237 .316 .411 .243 .306 .427 2.6 0.7 3.93 5.22
Chris Sale .222 .291 .306 .249 .318 .444 2.0 0.5 3.62 5.52
Kutter Crawford .254 .332 .454 .247 .290 .390 2.0 0.7 3.96 5.18
Josh Winckowski .274 .335 .430 .249 .308 .404 2.1 0.6 3.74 5.08
Isaac Coffey .253 .320 .414 .265 .326 .449 2.0 0.6 4.05 5.31
Tanner Houck .258 .346 .458 .239 .308 .371 2.1 0.5 3.90 5.46
James Paxton .300 .373 .422 .254 .324 .453 1.8 0.1 4.10 5.80
Brian Van Belle .283 .338 .470 .281 .325 .460 1.8 0.5 4.37 5.42
Victor Santos .255 .313 .425 .286 .340 .450 1.6 0.4 4.44 5.64
Brandon Walter .242 .313 .348 .282 .339 .468 1.5 0.3 4.24 5.44
Hunter Dobbins .284 .347 .437 .265 .320 .441 1.5 0.4 4.31 5.40
Grant Gambrell .279 .343 .474 .272 .341 .443 1.4 0.2 4.57 5.68
Wikelman Gonzalez .270 .376 .454 .225 .336 .374 1.5 -0.1 4.55 5.87
Shane Drohan .306 .383 .460 .255 .345 .438 1.4 0.1 4.65 5.82
Chris Murphy .233 .331 .333 .275 .355 .467 1.3 -0.1 4.52 5.87
Angel Bastardo .258 .349 .467 .274 .357 .425 1.2 0.0 4.72 5.76
Yusniel Padron-Artiles .275 .331 .450 .286 .340 .486 1.1 0.1 4.58 5.85
Justin Hagenman .269 .333 .462 .263 .310 .410 1.1 0.0 3.82 5.43
Corey Kluber .291 .359 .497 .271 .320 .442 1.1 -0.1 4.53 6.18
Chih-Jung Liu .293 .393 .497 .249 .322 .418 1.1 -0.2 4.79 6.00
John Schreiber .257 .339 .426 .231 .304 .372 1.1 0.0 3.41 5.22
Matt Dermody .260 .326 .416 .288 .341 .464 0.8 0.2 4.36 5.51
Chris Martin .256 .301 .423 .289 .314 .464 0.9 0.0 3.04 5.26
Kenley Jansen .262 .333 .429 .211 .287 .400 1.1 -0.2 3.11 5.59
Nick Robertson .247 .319 .400 .250 .313 .397 0.9 -0.1 3.34 5.24
Mauricio Llovera .258 .347 .439 .241 .299 .392 0.7 0.0 3.74 5.60
Isaiah Campbell .247 .333 .435 .253 .312 .384 0.7 0.0 3.61 5.06
Brennan Bernardino .232 .317 .321 .262 .350 .459 0.8 -0.2 3.75 5.59
Jacob Webb .225 .316 .373 .238 .306 .408 0.8 -0.6 3.53 5.46
Rio Gomez .260 .348 .377 .274 .361 .480 0.7 -0.3 4.75 6.23
Ryan Fernandez .261 .327 .455 .264 .311 .418 0.7 -0.2 3.59 5.29
Chase Shugart .276 .343 .423 .294 .353 .500 0.6 -0.2 4.70 5.99
Sterling Sharp .313 .392 .513 .270 .348 .434 0.6 -0.2 5.13 6.23
Bryan Mata .265 .392 .436 .252 .353 .420 0.6 -0.3 5.10 6.38
Frank German .258 .352 .409 .259 .347 .444 0.6 -0.2 4.64 6.07
Alex Hoppe .276 .344 .448 .257 .315 .406 0.5 -0.2 3.89 5.16
Taylor Broadway .265 .337 .446 .270 .320 .427 0.4 -0.2 4.25 5.55
Norwith Gudiño .295 .370 .505 .265 .354 .416 0.4 -0.4 4.92 6.46
Joely Rodríguez .255 .327 .362 .277 .344 .470 0.4 -0.3 3.89 5.89
Andrew Politi .264 .347 .462 .260 .345 .402 0.6 -0.5 4.33 6.05
Brendan Nail .254 .343 .373 .268 .359 .455 0.4 -0.4 4.58 6.07
Zack Kelly .247 .363 .377 .256 .356 .477 0.3 -0.4 4.49 6.31
Oddanier Mosqueda .221 .337 .338 .268 .367 .465 0.4 -0.6 4.45 6.18
Zack Weiss .263 .371 .461 .244 .330 .400 0.4 -0.5 4.25 6.44
Ryan Miller .274 .352 .453 .275 .342 .441 0.3 -0.5 4.47 6.04
Dinelson Lamet .270 .372 .486 .233 .321 .397 0.3 -0.5 4.56 6.89
Teddy Stankiewicz .321 .408 .534 .277 .343 .447 0.3 -0.5 5.47 6.83
Joe Jacques .225 .309 .310 .296 .380 .500 0.4 -0.5 4.50 6.11
Ryan Zeferjahn .271 .404 .494 .250 .347 .385 0.2 -0.5 5.02 6.67
Christopher Troye .250 .394 .425 .218 .337 .379 0.2 -0.6 4.49 6.34
Cam Booser .241 .333 .414 .276 .362 .463 0.2 -0.7 4.45 6.39
Andrés Núñez .264 .352 .440 .274 .363 .436 0.3 -0.6 4.67 6.33
Kyle Barraclough .273 .387 .444 .261 .368 .470 0.2 -0.7 5.20 6.99
Jake Faria .276 .395 .449 .292 .368 .500 0.3 -0.5 5.27 6.89
Robert Kwiatkowski .322 .392 .544 .269 .328 .429 0.1 -0.5 4.98 6.18
Justin Garza .250 .385 .393 .278 .349 .496 0.1 -0.6 5.04 6.64
Theo Denlinger .280 .386 .480 .250 .356 .409 0.0 -0.6 4.87 6.44
Dylan Spacke .309 .405 .521 .261 .352 .396 0.0 -0.7 5.41 6.69
Brendan Cellucci .250 .400 .383 .273 .382 .477 0.0 -0.8 5.22 6.86
Wyatt Olds .282 .434 .492 .248 .370 .399 0.1 -1.0 5.75 7.17
Skylar Arias .235 .422 .353 .250 .402 .472 -0.1 -0.6 5.52 7.64
Cody Scroggins .274 .392 .484 .282 .395 .451 -0.2 -0.7 5.55 7.22
Jorge Benitez .220 .356 .322 .279 .400 .500 -0.1 -1.1 5.12 7.11

Players are listed with their most recent teams wherever possible. This includes players who are unsigned or have retired, players who will miss 2024 due to injury, and players who were released in 2023. So yes, if you see Joe Schmoe, who quit baseball back in August to form a Belgian Death Metal Skiffle Band that only plays songs by Franz Schubert, he’s still listed here intentionally. ZiPS is assuming a league with an ERA of 4.33.

Hitters are ranked by zWAR, which is to say, WAR values as calculated by me, Dan Szymborski, whose surname is spelled with a z. WAR values might differ slightly from those that appear in the full release of ZiPS. Finally, I will advise anyone against — and might karate chop anyone guilty of — merely adding up WAR totals on a depth chart to produce projected team WAR.

As always, incorrect projections are either caused by flaws in the physical reality of the universe or by the skillful sabotage of our friend and former editor. You can, however, still get mad at me on Twitter.


Job Posting: Milwaukee Brewers – Intern, Baseball Systems

Intern – Baseball Systems

Location: Milwaukee, WI

Position Summary:
As part of the Baseball Systems department, this role will work closely with the Data Engineering and Software Engineering groups within Baseball Systems to enhance existing tools and processes and build new ones.

Essential Duties and Responsibilities:

  • Investigate user identified data quality concerns relating to areas such as game statistics, scouting reports, and transactions. Diagnose and fix the issue(s).
  • Load new datasets from vendors into internal databases and make the data available to users.
  • Design tools to surface data in web applications and clearly communicate the tool’s functionality.

Qualifications:

  • Experience with programming languages such as Python, Java, C#.
  • Experience with SQL, including writing and maintaining queries.
  • Experience working with relational databases such as SQL Server and PostgreSQL.
  • Experience with advanced statistical baseball concepts, including advanced statistics and player evaluation metrics.

Our Team:

  • Baseball Systems is the software backbone of Baseball Operations. We provide data and decision-making tools for analysts, coaches, and front office personnel to help win a World Series.
  • Our department consists of a team of data engineers and a team of software engineers who work across all different aspects of Baseball Operations providing support and tools relevant to each group.
  • We work directly with stakeholders in every department of Baseball Operations to ensure every project we work on drives value to the organization and helps us win more games on the field.
  • We help drive technical innovation to find new ways to solve baseball problems.

Our Pitch
You come here to make a difference. We are a purpose-led organization, focused on building an inclusive and engaging culture that fosters excellence, collaboration, and ingenuity. We strive to be a model employer and cultivator of talent, empowering our teams to drive innovation through the inclusion of diverse thoughts, ideas, and perspectives. We operate at the highest standard of excellence, investing in the development of our staff across all levels and embracing differences through a culture of respect and understanding.

We are proud to offer a highly competitive perks and benefits package including:

  • League wide insurance plan
  • Collaborative recognition program and incentives
  • Online educational platform for personal and professional development
  • Employee Resource Groups
  • Paid time off for volunteering
  • Year-round diversity, equity and inclusion training and development
  • Brewers Home Game tickets, promotional giveaways and other discounts!

For more information about our Crew, other benefits and insight into our Club culture please visit our Careers Page.

To Apply:
To apply, please follow this link

The content in this posting was created and provided solely by the Milwaukee Brewers.


Job Posting: Arizona Diamondbacks – Multiple Openings

To Apply:
Interested individuals should send a resume and any supporting materials to bbopsjob@dbacks.com. Please indicate which position you are applying for in the subject line.

Player Personnel Analyst

Reports to: Assistant Director, Player Personnel
Status: Regular Full Time
Location: Phoenix, Arizona

Position Summary:
The Arizona Diamondbacks are seeking an Analyst to fill a full-time role in their Player Personnel department. This position will work with Director and Executive levels of the front office and be responsible for the objective valuation of Major League and Minor League players. A model candidate will leverage analytical skills, a strong sense of creativity, and their knowledge and passion for baseball to provide innovative ideas related to the player personnel decision making process.

Duties & Responsibilities:

  • Objective evaluation of players covering all 30 Major League organizations, the NPB, KBO, and Independent Leagues.
  • Create and maintain a systematic process for evaluating a large sample of players in an accurate and efficient manner.
  • Utilize statistical models, tools, and data to objectively evaluate professional players, and effectively communicate findings to a nontechnical audience.
  • Generate ideas for player acquisitions, roster construction, and contract decisions.
  • Continuously explore interesting research projects to identify new trends in the game and valuations methods.

Skills:

  • Demonstrated understanding of player valuation and future projection.
  • Ability to write objectively driven player valuation reports.
  • Experience with roster decisions, evaluation of professional players, and the free agent market.
  • Ability to communicate ideas and opinions to members of Baseball Operations.
  • Proficiency in SQL, R, and Python is preferred, but not required.

Intern, Baseball Operations/Player Personnel

Reports to: Assistant Director, Baseball Operations & Assistant Director, Player Personnel
Length: Full-season internship, preferably starting in Jan 2024.
Location: Phoenix, Arizona

Position Summary:
The Arizona Diamondbacks are seeking a full-season intern to work within the Baseball Operations group. The day-to-day responsibilities of this role will vary depending on the baseball calendar, allowing them to gain experience in multiple areas of the department. A model candidate will be able to leverage their analytical skills, a strong sense of creativity and their knowledge and passion for the game of baseball to provide innovative ideas throughout the Baseball Operations decision making process. There will also be an emphasis on player evaluation and an understanding of the pro-personnel landscape.

Responsibilities:

  • Produce statistical analysis and daily reports for the entire baseball related staff.
  • Have a deep understanding of the pro player pool and the ability to write objective evaluation reports.
  • Continuously explore interesting research questions to identify new trends in the game that will lead to competitive advantages.
  • Recommend advancements to the current Baseball Operations procedures and infrastructure to improve efficiency.
  • Assist with the capture and processing of on-field technology at both Chase Field and Salt River Fields.
  • Perform other related duties as assigned.

Qualifications:

  • A degree from an accredited college or university and/or equivalent experience. Analytical fields such as statistics, predictive analytics, data science, engineering, applied math, physics, computer science, computer vision, etc. are preferred, but not required.
  • A demonstrated quantitative background, either by degree or work sample, is strongly preferred (SQL, R, Python, Tableau, or other programming language).
  • Advanced proficiency in Microsoft Office (Word, Excel, and Powerpoint) is required.
  • A self-starter with strong communication skills.
  • High level understanding and passion for the game of baseball.
  • Excellent work ethic and attention to detail while balancing multiple responsibilities in a fast-paced work environment.
  • Ability to work evening, weekend, and holiday hours.

Intern, Baseball Research & Development

Reports to: Director, Baseball Research & Development
Location: Phoenix, Arizona

Position Summary:
Responsible for supporting all areas of baseball operations through baseball related data analysis, including statistical modeling, research, visualizations, and other projects. The day-to-day responsibilities of this role will vary depending on baseball calendar, allowing them to gain experience in multiple areas of Baseball Operations.

Responsibilities:

  • Statistical modeling, machine learning, and quantitative analysis of a variety of data sources, for the purpose of player evaluation, strategic decision-making, decision analysis, etc.
  • Present analysis and insights to greater baseball operations group in clear concise manner through written and visual means.
  • Maintain and develop understanding of current state of analytics and technology in baseball as well as using expertise to recommend new and emerging methods.
  • Use fresh perspective to recommend improvements to current Diamondbacks analytical processes.
  • Perform ad-hoc research projects as requested.

Qualifications:

  • Bachelor’s degree in an analytical field such as statistics, predictive analytics, data science, engineering, applied math, physics, computer science, computer vision, etc.
  • Proficiency with database technologies including SQL.
  • Demonstrated experience with programming languages (e.g., R or Python).
  • Strong ability to communicate technical ideas to non-technical audiences using data visualization.
  • High level understanding and passion for the game of baseball.
  • Excellent work ethic and attention to detail while balancing multiple responsibilities in fast-paced work environment.
  • Ability to work evening, weekend, and holiday hours.
  • Other programming and database skills are a plus.

To Apply:
Interested individuals should send a resume and any supporting materials to bbopsjob@dbacks.com. Please indicate which position you are applying for in the subject line.

The content in this posting was created and provided solely by the Arizona Diamondbacks.


Job Posting: Oakland Athletics – Multiple Openings

Direct Links (Please see full job postings below):

Scouting Intern
Minor League Video Assistant


Minor League Video Assistant

Department: Baseball Operations
Reporting to: Manager, Minor League Technology & Development
Job Classification: Seasonal
Full-time Location (City, State): Multiple Locations

About the A’s:
The Oakland A’s are a baseball team founded in 1901. They have a rich history, having won nine World Series championships and 15 American League pennants. The A’s are known for pioneering the “Moneyball” approach to team-building, which focuses on using statistical analysis to identify undervalued players.

In addition to their success on the field, the Oakland A’s also have a positive and dynamic work culture. They have been recognized twice as the Front Office Sports, Best Employers in Sports.

The A’s are defined by their core pillars of being Dynamic, Innovative, and Inclusive. Working for the A’s offers the opportunity to be part of an innovative organization that values its employees and strives to create a positive work environment.

Description:
The Oakland Athletics are seeking a seasonal Minor League Video Assistant for the 2024 season at each of the minor league affiliates.The ideal candidate will be available to work home and road games traveling with a minor league affiliate team while handling video charting and other technical matters,

Responsibilities:

  • Arrive several hours prior to each game to set up cameras and input rosters and lineups.
  • Be available before games to film bullpens, batting practice, early work, and help players and staff with any video/technology related requests.
  • Chart each home game using Trackman software.
  • Review pitch/game data for any errors at conclusion of game and upload data to TrackMan system.
  • Review questionable pitches with the video to make sure the data going into our system is as accurate as possible.
  • Communicate with support and the Oakland Athletics front office about technical issues that may come up.
  • Import video from cameras into editing software (BATS) to sync and cut up the game’s video.
  • Upload video to the A’s proprietary scouting software.
  • Work with and assist the coaching staff and players with video and technology requests.
  • Manage various technologies to assist with Player Development.

Requirements:

  • Must be organized and have strong attention to detail.
  • Have a basic familiarity of Microsoft Office and Various Web Browsers.
  • Ability to effectively communicate and problem solve IT or other technical issues.
  • Prior experience with Trackman or other computerized scoring software is preferred, but not required. 
  • Flexibility to work extensive hours including nights, weekends, and holidays, as required by the minor league baseball season.
  • Ability to attend Spring Training in Mesa, AZ facilities.
  • Ability to work at one of the Oakland Athletics’ minor league affiliates for the minor league season at one of the following affiliates (Las Vegas, NV; Midland,TX; Lansing, MI; Stockton, CA; Mesa, AZ).
  • Travel as necessary based on the affiliate team’s schedule.

For California based positions only: In adherence to California’s Pay Transparency Act (SB 1162) and in compliance with California minimum wage, the starting compensation for this role is $16.00 / hour.

To Apply:
To apply, please follow this link.


Scouting Intern

Job Title: Scouting Intern
Department: Domestic Scouting
Reporting to: Assistant Director, Scouting & Baseball Operations
Job Classification: Non-exempt
Location: Oakland, CA

About the A’s:
The Oakland A’s are a baseball team founded in 1901. They have a rich history, having won nine World Series championships and 15 American League pennants. The A’s are known for pioneering the “Moneyball” approach to team-building, which focuses on using statistical analysis to identify undervalued players.

In addition to their success on the field, the Oakland A’s also have a positive and dynamic work culture. They have been recognized twice as the Front Office Sports, Best Employers in Sports.

The A’s are defined by their core pillars of being Dynamic, Innovative, and Inclusive. Working for the A’s offers the opportunity to be part of an innovative organization that values its employees and strives to create a positive work environment.

Description:
The Oakland A’s are hiring a full-season Scouting Intern to assist the Amateur, Professional and International Scouting Departments. This position will assist with all aspects of scouting, ranging from collecting, aggregating, and presenting amateur prospect data, serving as a conduit between scouts, supervisors, and special assistants and the front office, and helping coordinate the meetings for the First-Year Player Draft. The ideal candidate will seamlessly integrate into the scouting workflow while demonstrating strong office skills and both qualitative and quantitative reasoning. This position will be based out of Oakland, CA.

Responsibilities:

  • Update internal and external systems with prospect profiles, video, and requisite information in preparation for First-Year Player Draft and International Signing Period
  • Assist with expenses and travel for amateur scouting department and various front office personnel
  • Serve as lead in preparation and facilitation of the draft room
  • Aid in coordination of A’s sponsored workouts
  • Aid in the training of new scout hires on use of internal software, external platforms, expense
  • reimbursement policies and expectations and timeline for collection and submission of
  • information
  • Perform other duties as assigned

Qualifications/Requirements:

  • Degree from accredited college or university
  • Excellent verbal communication and problem-solving skills 
  • Proficient in Microsoft Office (Word, Excel, and PowerPoint) 
  • Strong organizational skills and attention to detail 
  • Ability to work flexible hours including nights, weekends, and holidays
  • Some travel required

In adherence to California’s Pay Transparency Act (SB 1162), the base hourly rate for this role is $16.00, consistent with California’s minimum wage requirement.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Oakland Athletics.


Job Posting: New York Mets – Multiple Openings

Direct Links (Please see full job postings below):

Analyst, Minor League Analytics
Associate, Minor League Analyst


Analyst, Minor League Analytics

Location: Citi Field – Queens, New York

Summary:
The New York Mets PD Analyst is responsible for performing research and building tools in support of the Mets Player Development Department.

Essential Duties & Responsibilities:

  • Perform thorough research analysis on Mets players to help Player Development build and maintain individual Player Plans

  • Execute research in domains (pitching, hitting, and defense) pertaining to Player Development

  • Partner with leadership in one specific domain to own Player Development research in that vertical

  • Develop systems that allow staff to efficiently come to good conclusions consistent with organizational philosophy

  • Drive growth of Mets coaches and players through continued education and presentations

  • Work with the other analysts to help improve each other’s coding and quantitative abilities

Qualifications:

  • Bachelor’s degree in a quantitative field or equivalent experience

  • Experience with baseball technology, including but not limited to Blast Motion, Hawk-Eye, KinaTrax, Force Plates

  • Significant experience in R, Python, or similar, as well as proficiency in SQL

  • Statistical modeling experience is a strong plus

  • Fluency in Spanish is a plus

  • Must be able to travel domestically

  • Must be able to work unconventional hours

The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.

The New York Mets recognize the importance of a diverse workforce and value the unique qualities individuals of various backgrounds and experiences can offer to the Organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.

Salary Range: $70,000 – $85,000

To Apply:
To apply, please follow this link.


Associate, Minor League Analyst

Location: Citi Field – Queens, New York

Job Description:
The New York Mets Associate Analyst is responsible for helping to drive development plans for one or multiple minor league affiliates.

Responsibilities:

  • Perform thorough research analysis on Mets players to help Player Development build and maintain individual Player Plans
  • Execute research on topics pertaining to Player Development
  • Develop systems that allow staff to efficiently come to good conclusions consistent with organizational philosophy
  • Drive growth of Mets coaches through continued education
  • Provide feedback to the rest of Baseball Analytics and Baseball Systems on reports, models, and tools that relate to Player Development
  • Work with the other analysts to help improve each other’s coding abilities and quantitative abilities
  • Interpret and integrate data and model-based results from internal reports and websites to help coaches use the information to work with their players
  • Ad hoc requests from Baseball Analytics and Player Development in line with these job responsibilities
  • As time permits, analysts will be assigned additional coding and/or statistical modeling projects relating to Player Development

Qualifications:

  • Bachelor’s degree in a quantitative field or equivalent experience
  • Experience with baseball technology, including but not limited to Blast Motion, Hawk-Eye, KinaTrax, Force Plates
  • Significant experience in R, Python, or similar, as well as proficiency in SQL
  • Statistical modeling experience is a strong plus
  • Fluency in Spanish is a plus
  • Must be able to travel domestically
  • Must be able to work unconventional hours

The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.

The New York Mets recognize the importance of a diverse workforce and value the unique qualities individuals of various backgrounds and experiences can offer to the Organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.

Salary: 18.15$ Hourly

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the New York Mets.


Effectively Wild Episode 2091: Runs, Hits, Errors, Turnovers

EWFI
Ben Lindbergh and Meg Rowley banter about the Eugenio Suárez trade and the Mariners’ payroll, the Cardinals signing Sonny Gray, the Tigers signing Kenta Maeda, the Dodgers re-signing Jason Heyward, and whether an outfielder can be said to “pick it.” Then (50:07) they follow up on listener responses to their latest email episode, focusing on suggestions for introducing turnovers to baseball.

Audio intro: Liz Panella, “Effectively Wild Theme
Audio outro: Alex Ferrin, “Effectively Wild Theme

Link to article on Havens hiring
Link to Suárez FG post
Link to Mariners ticket prices
Link to Diamondbacks ticket prices
Link to Gray FG post
Link to Hence nickname info
Link to Maeda FG post
Link to Maeda’s Dodgers deal
Link to FG SP projections
Link to Twins payroll article
Link to Heyward FG post
Link to EW Episode 2089
Link to Ben on HR robberies
Link to Stanky maneuver info
Link to fourth out wiki
Link to Sam on fourth outs
Link to baseball exceptionalism wiki
Link to Secret Santa sign-up sheet

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 Email Us: podcast@fangraphs.com


A 2024 Hall of Fame Ballot of Your Own – and a Schedule of Profiles

Tim Heitman-USA TODAY Sports

Hall of Fame season is underway, and I’ve already reviewed six of the eight Contemporary Baseball Era Committtee candidates and gotten a start on the annual BBWAA ballot. With the latter, it’s time to launch what’s become a yearly tradition at FanGraphs. In the spirit of our annual free agent contract crowdsourcing, we’re inviting registered users to fill out their own virtual Hall of Fame ballots using a cool gizmo that our developer, Sean Dolinar, built a few years ago. I’m also going to use this page to lay out a tentative schedule for the remainder of the series, as well as links to the profiles that have been published.

To participate in the crowdsourcing, you must be signed in, and you may only vote once. While you don’t have to be a FanGraphs Member to do so, this is a perfect time to mention that buying a Membership does help to fund the development of cool tools like this — and it makes a great holiday gift! To replicate the actual voting process, you may vote for anywhere from zero to 10 players; ballots with more than 10 won’t be counted. You may change your ballot until the deadline, which is December 31, 2022, the same as that of the actual BBWAA voters, who have to schlep their paper ballot to the mailbox. Read the rest of this entry »