Archive for Giants

The Giants Get a New Best Outfielder

The Toronto Blue Jays, in yet another sign that their slightly announced rebuild is continuing, are sending Kevin Pillar to the San Francisco Giants in return for three players. Heading to the land of colorful currency and milk distressingly sold in bags in return are relief pitcher Derek Law, former-Pirate-prospect-turned-useful-utility-guy Alen Hanson, and minor league pitcher Juan De Paula.

With free agency arriving after the 2020 season and the Blue Jays unlikely to go anywhere positive before then, it was only a matter of time until Pillar was traded to someone in need of outfield help. And when looking up “someone in need of outfield help” in a very odd dictionary, you might see a picture of the San Francisco Giants. If you checked out our positional power rankings last week — and you will be quizzed on those — you’d see the Giants ranking 30th, 27th, and 28th in the outfield, from left to right.

The Giants outfield has been a problem for awhile, and the winter before last, the team attempted to solve it by seriously going after all three Marlins outfielders, Giancarlo Stanton, Christian Yelich, and Marcell Ozuna, and after missing out on two of the three, picked up Andrew McCutchen as a stopgap option. This winter, on the other hand, with little desire to increase payroll, the Giants decided to collect 17 outfielders each worth about 0.5 WAR and somehow combine them into some form of Eldritch abomination undulating its way to a three-WAR season while hopefully consuming the souls of various Dodgers as a side benefit and then maybe things would be alright.

Narrator: Things were not alright. Read the rest of this entry »


Drew Ferguson Talks Hitting

Last week’s ‘Talks Hitting’ interviews featured a pair of prominent big-leaguers. Daniel Murphy and Nolan Arenado have combined to make seven All-Star teams over the past five seasons. Today we feature a far-less-accomplished player. Drew Ferguson, a 26-year-old outfielder currently in camp with the San Francisco Giants, has yet to make his major league debut.

Ferguson has a finance degree from Belmont University, but his true passion is the biomechanics of hitting. He can definitely swing the bat. In 316 plate appearances last year — all but 24 at the Triple-A level — Ferguson slashed .304/.432/.443. He did so in the Houston Astros organization, from which the Giants selected him in December’s Rule-5 draft.

———

David Laurila: I understand that you have a strong interest in analytics.

Drew Ferguson: “I’ve been interested in analytics for many years — dating all the way back to high school — but numbers can only tell you so much. From a player development standpoint, it’s more about the biomechanics of the swing. How does the body move? What are we trying to do as hitters? What are the angles of the pitch versus the swing? What is a good approach based on your swing, based on the pitcher’s repertoire?”

Laurila: Hitting analytics are obviously becoming a big part of the game.

Ferguson: “100%. A lot of [hitting] is intuitive to players — guys describe things in different ways — but with the technology we have to describe a swing … I was just talking to one of my teammates about how angles are going to line up. For example, your posture and the direction of your swing can tell you that you should probably hit four-seam fastballs at the top of the zone easier than a sinker at the bottom of the zone. You can see that by looking at video, and at the metrics of your swing. Read the rest of this entry »


Seven Hopefully Not-Terrible Spring Trade Ideas

We’re just a week away from actual major league baseball games and two weeks from Opening Day, and the free agent market is about spent. Dallas Keuchel and Craig Kimbrel remain free agents for now, the only two available players projected for two or more WAR on our depth charts. Even lowering the bar to a single win only adds two additional names in Carlos Gonzalez and Gio Gonzalez.

Unless your team is willing to sign Keuchel or Kimbrel, any improvements will have to be made via a trade. And since pretty much every team could use an improvement somewhere, it’s the best time of the year for a bit of fantasy matchmaking until we get to post-All Star Week.

Note that these are not trades I predict will happen, only trades I’d like to see happen for one reason or another. Until I’m appointed Emperor-King of Baseball, I have no power to make these trades happen.

1. Corey Kluber to the San Diego Padres for Wil Myers, Josh Naylor, Luis Patino, and $35 million.

One of the reasons the Kluber trade rumors so persistently involved the Padres this winter is because it made so much sense. The idea was that Cleveland had a deep starting rotation and an offense that looked increasingly like that of the Colorado Rockies, with a couple of MVP candidates and abundant quantities of meh elsewhere.

On the Padres side, the team’s lineup looked nearly playoff-viable in a number of configurations with the exception of a hole at third base. The team was awash in pitching prospects but had a drought of 2019 rotation-ready candidates.

These facts have largely stayed unchanged with the obvious exception of San Diego’s hole at third base. The Padres aren’t far away from contending, and while signing Keuchel is cleaner, revisiting Kluber is a bigger gain.

At four years and $28 million guaranteed after the trade’s cash subsidy, Myers actually has some value to the Indians, who have resorted to fairly extreme measures like seriously considering Hanley Ramirez for a starting job. Most contenders aren’t upgraded by a league-average outfielder/DH, but the Indians would be. Cleveland can’t let Kluber get away without taking a top 50ish prospect, and Naylor is a lot more interesting on a team like the Indians, which has a lot of holes on the easy side of the defensive spectrum, than he is on one that wants to be in the Eric Hosmer business for a decade.

Unfortunately, in the end, I expect that Cleveland wasn’t as serious about trading Kluber as they were made out to be and would likely be far more interested in someone who could contribute now, like Chris Paddack. And Paddack makes the trade make a lot less sense for the Padres, given that they have enough holes in the rotation that they ought to want Kluber and Paddack starting right now.

2. Nicholas Castellanos to the Cleveland Indians for Yu Chang, Luis Oviedo, and Bobby Bradley.

The relationship between Castellanos and the Tigers seems to oscillate between the former wanting a trade and both sides wanting to hammer out a contract extension.

Truth is, trading Castellanos always made more sense as the Tigers really aren’t that close to being a competitive team yet, even in the drab AL Central. Castellanos is not a J.D. Martinez-type hitter, and I feel Detroit would be making a mistake if lingering disappointment from a weak return for Martinez were to result in them not getting value for Castellanos.

While one could envision a future Indian infield where Jose Ramirez ends up back at second, and Chang is at third (or second), I think the need for a hitter, even if the first trade proposed here were to happen, is too great. Oviedo is years away and Cleveland’s window of contention can’t wait to see if Bradley turns things around.

3. Dylan Bundy to the New York Mets for Will Toffey and Walker Lockett.

I suspect that if the Mets were willing to sign Dallas Keuchel, he’d already be in Queens. In an offseason during which the Mets lit up the neon WIN NOW sign, they’ve confusingly kept the fifth starter seat open for Jason Vargas for no particular reason.

Rather than wait for Vargas to rediscover the blood magicks that allowed him to put on a Greg Maddux glamour for a few months a couple of years ago, I’d much rather the Mets use their fifth starter role in a more interesting way. Bundy has largely disappointed, but there’s likely at least some upside left that the Orioles have shown little ability to figure out yet.

Toffey would struggle to get at-bats in New York unless the team’s plethora of third-base-capable players came down with bubonic plague, and given that the team isn’t interested in letting Lockett seriously challenge Vargas’ role, better to let him discover how to get lefties out on a team that’s going to lose 100 games.

4. Mychal Givens to the Boston Red Sox for Bryan Mata.

Boston’s bullpen was a solid group in 2018, finishing fifth in FIP and ninth in bullpen WAR. But it’s a group that is now missing Kimbrel and Joe Kelly, two relievers who combined for 2.2 of the team’s 4.9 WAR. The Red Sox haven’t replaced that lost production, and while they talk about how they really think that Ryan Brasier is great, they already had him last year. Now he’ll throw more innings in 2019, but that will largely be balanced by him not actually being a 1.60 ERA pitcher.

The Red Sox have dropped to 22nd in the depth chart rankings for bullpens, and although ZiPS is more optimistic than the ZiPS/Steamer mix, it’s only by enough to get Boston to 18th.

The Orioles are one of the few teams who might possibly be willing to part with bullpen depth at this point in the season and Givens, three years from free agency, gives the Red Sox the extra arm they need. Mata is a fascinating player, but he’s erratic and Boston needs to have a little more urgency in their approach. The O’s have more time to sort through fascinatingly erratic pitchers like Mata and Tanner Scott.

5. Madison Bumgarner to the Milwaukee Brewers for Corey Ray and Mauricio Dubon.

You know that point at a party when the momentum has kinda ended and people have slowly begun filtering to their cars or Ubers, but there’s one heavily inebriated dude who has decided he’s the King of New Years, something he proclaims in cringe-worthy fashion to the dwindling number of attendees?

That’s the Giants.

The party is over in San Francisco, with the roster not improved in any meaningful way from the ones that won 64 and 73 games in each of the last two seasons. The Giants are probably less likely to win 90 games than George R. R. Martin is to finish The Winds of Winter before the end of the final season of Game of Thrones.

You can’t trade Bumgarner expecting the return you would for 2016-level Bumgarner, but you can get value from a team that could use a boost in a very competitive National League.

6. Mike Leake to the Cincinnati Reds for Robert Stephenson.

An innings-eater doesn’t have great value for the Mariners, who are unlikely to be very October-relevant. The Reds seem like they’ll happily volunteer to pick up the money to keep from trading a better prospect; they can’t put all their eggs into the 2019 basket.

With Alex Wood having back issues, a Leake reunion feels like a good match to me, and with Stephenson out of options, he’d get more time to hit his upside in Seattle than he would with a Reds team that really wants to compete this year.

7. Melvin Adon to the Washington Nationals for Yasel Antuna.

Washington keeps trading away highly interesting-yet-erratic relievers midseason in a scramble to find relief pitching. Why not acquire one of those guys for a change and see what happens? Stop being the team that ships out Felipe Vazquezes or Blake Treinens and be the team that finds and keeps them instead.

The Giants have a bit of a bullpen logjam and realistically, a reliever who can’t help them right now isn’t worth a great deal; relief is a high-leverage role and by the time Adon is ready, the Giants will likely be a poor enough team that it won’t matter. They may already be! Antuna gives them a lottery pick for a player who could help the team someday in a more meaningful way.


Sunday Notes: Scouting Put Brock Burke on the Rangers’ Radar

Brock Burke was a relatively obscure pitcher in the Tampa Bay Rays organization when I first wrote about him in 2017. He was performing well at the time — a 1.23 ERA through nine starts — but context was a mitigating factor. A blip on most prospect radar, he was facing Midwest League hitters in his third full professional season.

He’s no longer quite so obscure. Nor is he Tampa Bay property. In December, the Texas Rangers acquired the 22-year-old southpaw in the three-team trade that sent former top prospect Jurickson Profar to Oakland. His appeal to the AL West cellar dwellers was understandable. Burke fashioned a 1.95 ERA, and fanned 71 batters in 55-and-a-third innings, after earning a second-half promotion to Double-A Montgomery.

I recently asked Texas GM Jon Daniels about the deal that brought Burke to the Lone Star State.

“We’ve had a lot of conversations about Profar over the years,” Daniels told me. “This winter, after a number of talks, we defined what we were looking for. Our priority was to get a young starter who was at the upper levels, and [Burke’s] had a lot of things we liked. His trajectory is really interesting — from Colorado, not a ton of development at a young age. Sometimes guys from those cold-weather states need a little time to lay a foundation.”

Daniels brought up Tyler Phillips — “He really burst onto the scene with us last year” — as another close-to-home example. A 21-year-old right-hander from New Jersey, Phillips emerged as one of the Rangers’ better pitching prospects with a stellar season in the South Atlantic League.

Where Burke’s professional development has taken place worked in his favor. Read the rest of this entry »


Effectively Wild Episode 1341: Jesse Thorn, Bryce Harper, and Cardinals and Giants Previews

EWFI
Ben Lindbergh and guest co-host Jesse Thorn of Maximum Fun banter about Bryce Harper signing with the Phillies and the intriguing NL East, Jesse’s Giants fandom, being an ambassador of baseball to non-fans, and Jesse’s beliefs about baseball fashion, then preview the 2019 St. Louis Cardinals (30:00) with man of many outlets Will Leitch, and the 2019 San Francisco Giants (1:09:47) with SFBay News Giants beat writer Julie Parker.

Audio intro: The Smiths, "The Boy With the Thorn in His Side"
Audio interstitial 1: Camera Obscura, "William’s Heart"
Audio interstitial 2: The Mountain Goats, "Pink and Blue"
Audio outro: Julian Lennon, "Jesse"

Link to Ben’s Harper article
Link to Put This On
Link to Jordan, Jesse, Go!
Link to Bullseye
Link to Go Fact Yourself
Link to Will’s newsletter
Link to preorder The MVP Machine

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Ray Black, Tanner Scott, and Matt Strahm on Learning and Developing Their Sliders

Pitchers learn and develop different pitches, and they do so at varying stages of their lives and careers. It might be a curveball in high school, a cutter in college, or a changeup in A-ball. Sometimes the addition or refinement is a natural progression — graduating from Pitching 101 to advanced course work — and often it’s a matter of necessity. In order to get hitters out as the quality of competition improves, a pitcher needs to optimize his repertoire.

In this installment of the series, we’ll hear from three pitchers — Ray Black, Tanner Scott, and Matt Strahm— on how they learned and developed their sliders.

———

Ray Black, San Francisco Giants

“When I was in high school, I had the privilege of working with Andy Ashby, who is pretty much a legend around Wilkes-Barre. We messed around a little bit with a slider at the time, but I really started developing it more coming back from my Tommy John surgery. I blew out my senior year.

“My curveball was too big, too loopy, and easy to distinguish. I think I was throwing it almost 20 mph slower than my fastball. When you’re younger, you see this big breaking ball, somebody is diving out of the way, and you’re like, ‘Man, that’s nasty.’ But when you get up to the higher levels, you realize it’s more deception; it’s not just movement. I tried to develop a slider like a cutter. That’s what I think when I throw my slider: cutter. If I don’t, I always end up trying to make it bigger than it should be. I need to try to keep it tight, keep it small. Read the rest of this entry »


Picks to Click: Who We Expect to Make the 2020 Top 100

When publishing our lists — in particular, the top 100 — we’re frequently asked who, among the players excluded from this year’s version, might have the best chance of appearing on next year’s version. Whose stock are we buying? This post represents our best attempt to answer all of those questions at once.

This is the second year that we’re doing this, and we have some new rules. First, none of the players you see below will have ever been a 50 FV or better in any of our write-ups or rankings. So while we think Austin Hays might have a bounce back year and be a 50 FV again, we’re not allowed to include him here; you already know about him. We also forbid ourselves from using players who were on last year’s inaugural list. (We were right about 18 of the 63 players last year, a 29% hit rate, though we have no idea if that’s good or not, as it was our first time engaging in the exercise.) At the end of the piece, we have a list of potential high-leverage relievers who might debut this year. They’re unlikely to ever be a 50 FV or better because of their role, but they often have a sizable impact on competitive clubs, and readers seemed to like that we had that category last year.

We’ve separated this year’s players into groups or “types” to make it a little more digestible, and to give you some idea of the demographics we think pop-up guys come from, which could help you identify some of your own with THE BOARD. For players who we’ve already covered this offseason, we included a link to the team lists, where you can find a full scouting report. We touch briefly on the rest of the names in this post. Here are our picks to click:

Teenage Pitchers
Torres was young for his draft class, is a plus athlete, throws really hard, and had surprisingly sharp slider command all last summer. White looked excellent in the fall when the Rangers finally allowed their high school draftees to throw. He sat 92-94, and his changeup and breaking ball were both above-average. Pardinho and Woods Richardson are the two advanced guys in this group. Thomas is the most raw but, for a someone who hasn’t been pitching for very long, he’s already come a long way very quickly.

Eric Pardinho, RHP, Toronto Blue Jays (full report)
Lenny Torres, Jr., RHP, Cleveland Indians
Simeon Woods Richardson, RHP, New York Mets (full report)
Adam Kloffenstein, RHP, Toronto Blue Jays (full report)
Grayson Rodriguez, RHP, Baltimore Orioles (full report)
Owen White, RHP, Texas Rangers
Mason Denaburg, RHP, Washington Nationals (full report)
Tahnaj Thomas, RHP, Pittsburgh Pirates (full report)

The “This is What They Look Like” Group
If you like big, well-made athletes, this list is for you. Rodriguez was physically mature compared to his DSL peers and also seems like a mature person. The Mariners have indicated they’re going to send him right to Low-A this year. He could be a middle-of-the-order, corner outfield power bat. Luciano was the Giants’ big 2018 July 2 signee. He already has huge raw power and looks better at short than he did as an amateur. Canario has elite bat speed. Adams was signed away from college football but is more instinctive than most two-sport athletes. Most of the stuff he needs to work on is related to getting to his power.

Julio Rodriguez, RF, Seattle Mariners
Marco Luciano, SS, San Francisco Giants
Alexander Canario, RF, San Francisco Giants
Jordyn Adams, CF, Los Angeles Angels
Jordan Groshans, 3B, Toronto Blue Jays (full report)
Jhon Torres, OF, St. Louis Cardinals (full report)
Shervyen Newton, SS, New York Mets (full report)
Kevin Alcantara, CF, New York Yankees (full report)
Freudis Nova, SS, Houston Astros
Brice Turang, SS, Milwaukee Brewers (full report)
Connor Scott, CF, Miami Marlins (full report)

Advanced Young Bats with Defensive Value
This is the group that produces the likes of Vidal Brujan and Luis Urias. Edwards is a high-effort gamer with 70 speed and feel for line drive contact. Marcano isn’t as stocky and strong as X, but he too has innate feel for contact, and could be a plus middle infield defender. Perez has great all-fields contact ability and might be on an Andres Gimenez-style fast track, where he reaches Double-A at age 19 or 20. Ruiz is the worst defender on this list, but he has all-fields raw power and feel for contact. He draws Alfonso Soriano comps. Palacios is the only college prospect listed here. He had three times as many walks as strikeouts at Towson last year. Rosario controls the zone well, is fast, and is a plus defender in center field.

Xavier Edwards, SS, San Diego Padres
Antoni Flores, SS, Boston Red Sox (full report)
Jose Devers, SS, Miami Marlins (full report)
Tucupita Marcano, SS, San Diego Padres
Wenceel Perez, SS, Detroit Tigers
Esteury Ruiz, 2B, San Diego Padres
Richard Palacios, SS, Cleveland Indians
Antonio Cabello, CF, New York Yankees (full report)
Cole Roederer, LF, Chicago Cubs (full report)
Jeisson Rosario, CF, San Diego Padres
Luis Garcia, SS, Philadelphia Phillies (full report)
Simon Muzziotti, CF, Philadelphia Phillies (full report)

Corner Power Bats
Nevin will probably end up as a contact-over-power first baseman, but he might also end up with a 70 bat. He looked great against Fall League pitching despite having played very little as a pro due to injury. Lavigne had a lot of pre-draft helium and kept hitting after he signed. He has all-fields power. Apostel saw reps at first during instructs but has a good shot to stay at third. He has excellent timing and explosive hands.

Grant Lavigne, 1B, Colorado Rockies
Sherten Apostel, 3B, Texas Rangers
Triston Casas, 1B, Boston Red Sox (full report)
Dylan Carlson, RF, St. Louis Cardinals (full report)
Moises Gomez, RF, Tampa Bay Rays (full report)
Elehuris Montero, 3B, St. Louis Cardinals (full report)
Nathaniel Lowe, 1B, Tampa Bay Rays (full report)
Tyler Nevin, 1B, Colorado Rockies

College-aged Pitchers
It’s hard to imagine any of these guys rocketing into the top 50 overall. Rather, we would anticipate that they end up in the 60-100 range on next year’s list. Gilbert was a workhorse at Stetson and his velo may spike with reshaped usage. Singer should move quickly because of how advanced his command is. Lynch’s pre-draft velocity bump held throughout the summer, and he has command of several solid secondaries. Abreu spent several years in rookie ball and then had a breakout 2018, forcing Houston to 40-man him to protect him from the Rule 5. He’ll tie Dustin May for the second-highest breaking ball spin rate on THE BOARD when the Houston list goes up. We’re intrigued by what Dodgers player dev will do with an athlete like Gray. Phillips throws a ton of strikes and has a good four-pitch mix.

Logan Gilbert, RHP, Seattle Mariners
Zac Lowther, LHP, Baltimore Orioles (full report)
Brady Singer, RHP, Kansas City Royals
Bryan Abreu, RHP, Houston Astros
Daniel Lynch, LHP, Kansas City Royals
Wil Crowe, RHP, Washington Nationals (full report)
Josiah Gray, RHP, Los Angeles Dodgers
Jordan Holloway, RHP, Miami Marlins (full report)
Tyler Phillips, RHP, Texas Rangers

Bounce Back Candidates
The Dodgers have a strong track record of taking severely injured college arms who return with better stuff after a long period of inactivity. That could be Grove, their 2018 second rounder, who missed most of his sophomore and junior seasons at West Virginia. McCarthy was also hurt during his junior season and it may have obscured his true abilities. Burger is coming back from multiple Achilles ruptures, but was a strong college performer with power before his tire blew.

Michael Grove, RHP, Los Angeles Dodgers
Jake McCarthy, CF, Arizona Diamondbacks
Jake Burger, 3B, Chicago White Sox
Thomas Szapucki, LHP, New York Mets (full report)

Catchers
We’re very excited about the current crop of minor league catchers. Naylor is athletic enough that he’s likely to improve as a defender and he has rare power for the position.

Ivan Herrera, C, St. Louis Cardinals (full report)
Bo Naylor, C, Cleveland Indians
Payton Henry, C, Milwaukee Brewers (full report)

Potentially Dominant Relievers
These names lean “multi-inning” rather than “closer.” Gonsolin was a two-way player in college who has been the beneficiary of sound pitch design. He started last year but was up to 100 mph out of the bullpen the year before. He now throws a four seamer rather than a sinker and he developed a nasty splitter in 2017. He also has two good breaking balls. He has starter stuff but may break in as a reliever this year.

Trent Thornton, RHP, Toronto Blue Jays (full report)
Darwinzon Hernandez, LHP, Boston Red Sox (full report)
Dakota Hudson, RHP, St. Louis Cardinals (full report)
Sean Reid-Foley, RHP, Toronto Blue Jays (full report)
Colin Poche, LHP, Tampa Bay Rays (full report)
Trevor Stephan, RHP, New York Yankees (full report)
Vladimir Gutierrez, RHP, Cincinnati Reds (full report)
Dakota Mekkes, RHP, Chicago Cubs (full report)
Tony Gonsolin, RHP, Los Angeles Dodgers
Mauricio Llovera, RHP, Philadelphia Phillies (full report)


2019 ZiPS Projections – San Francisco Giants

After having typically appeared in the hallowed pages of Baseball Think Factory, Dan Szymborski’s ZiPS projections have now been released at FanGraphs for more than half a decade. The exercise continues this offseason. Below are the projections for the San Francisco Giants.

Batters

Be very careful when scrolling down to look at the depth chart. The way these things work, the first thing you’ll see is the outfield, which is likely to remain an absolutely brutal mess, one that couldn’t even be half-solved by a Ronald Acuña/Juan Soto-esque rise to power by Heliot Ramos, one of San Francisco’s few top prospects. Let’s put it this way: ZiPS projects Rule 5 draftee Drew Ferguson to be arguably the best outfielder on the team, with two of the other top outfielders being a minor-league signing and a waiver claim from the Rangers. The good news is that most of the group actually projects above replacement-level, so there’s a weird amount of adequacy in terms of the depth, but the projections give absolutely none of the team’s current group a chance to have much of an upside.

Things get sunnier when you look at the infield, which is the primary reason the Giants are likely to still be projected above the Padres for one last run (though probably just for one, unless the Padres are notably unlucky or incompetent). ZiPS essentially projects improvement for all of the team’s infield starters, kind of a rarity given the generally justifiable grumpy conservativeness to which projections systems are prone. The quality of the infield lends itself well to the argument that the Giants probably ought to have won more games last year. Not enough to be a playoff team, mind you, but at least enough to tone down the bleakness.

The worrisome thing about the offense is that most of the highlight players are at ages where their downsides can still hit like a ton of bricks and fast, and there’s no counterbalancing breakout potential. To the team’s credit, they’ve given every indication they realize that the outfield is bit of a tire fire. The Giants were in on all of the Marlins outfielders last winter, brought in Andrew McCutchen for 2018 (before trading him to the Yankees), and are now courting Bryce Harper. If any team is able to convince Harper to sign a shorter-term contract, San Francisco seems like a possibility; a superstar season from Harper could get the team into plausible contention, given their outfield weakness. And time is of the essence — if the infield starters don’t bounce back, this team is absolute toast.

I am still confused as to the baseball purpose of Pablo Sandoval remaining on the roster. Did someone in the organization finish last in their fantasy baseball league, and this is their punishment?

Pitchers

Johnny Cueto could theoretically return in September, but I think the smart money is still on him not making an appearance until 2020. Which, in addition to being unfortunate for Cueto, is rather bad timing for the Giants, who are less likely to be playing meaningful games in 2020 than this year.

Madison Bumgarner only gets a two-WAR projection, but that’s over just 147 innings, due largely to his attendance over the last two seasons, when he’s missed time due to freak injuries, one caused by something somewhat unusual (a dirt bike), the other by something somewhat mundane (a line drive). Since no elbow or shoulders were involved, I’m more optimistic about Bumgarner getting back to the 200 inning range than the projections are, which would boost his WAR to around three. ZiPS projects Dereck Rodriguez to be roughly league-average, which will be disappointing to Giants fans after a season in which Rodriguez was one of the team’s few highlights, but he has a very short record track record and a low K rate, so ZiPS isn’t putting him on the Kyle Hendricks pile yet. He’s certainly unlikely to repeat the 0.68 HR/9, even playing in Oracle Park.

The bullpen isn’t flashy, but the front-end is solidly above-average, and the team’s depth projects as more than adequate for its needs. San Francisco has shown an ability to turn random pieces into good relievers, and has a solid record with reclamation projects, such as Sam Dyson.

Bench and Prospects

After Joey Bart and Heliot Ramos, both likely to get official projections next year, the cupboard gets bare quickly. ZiPS does project Shaun Anderson to be a decent No. 3 starter for a time in his prime, and it has a long-term fascination with Conner Menez, but there’s just not much there there. Honestly, if the Giants had better prospects after their top two guys, I’d expect them to already have been traded for a starting pitcher. Most teams have a position player or two who ZiPS thinks projects better than the scouting reports indicate, but I’m just not seeing anybody here. Despite playing in the Pacific Coast League, Triple-A Sacramento only had one player who hit 15 homers (Chris Shaw).

One pedantic note for 2019: for the WAR graphic, I’m using FanGraphs’ depth chart playing time, not the playing time ZiPS spits out, so there will be occasional differences in WAR totals.

Ballpark graphic courtesy Eephus League. Depth charts constructed by way of those listed here at site.

Batters – Counting Stats
Player B Age PO G AB R H 2B 3B HR RBI BB SO SB CS
Buster Posey R 32 C 115 423 53 122 24 1 8 53 48 56 4 1
Brandon Crawford L 32 SS 143 507 59 129 29 4 14 67 46 115 4 4
Brandon Belt L 31 1B 117 416 57 104 25 3 15 53 62 122 4 1
Joe Panik L 28 2B 122 444 57 122 24 4 7 44 40 47 4 1
Evan Longoria R 33 3B 136 528 58 136 31 3 16 65 34 105 3 1
Alen Hanson B 26 2B 132 398 51 99 18 8 9 42 21 88 17 7
Breyvic Valera B 27 2B 126 424 50 113 16 4 5 38 37 48 7 7
Anthony Garcia R 27 LF 126 449 60 111 25 1 16 56 43 108 3 2
Drew Ferguson R 26 CF 92 348 45 85 18 2 6 31 39 101 9 6
Austin Slater R 26 RF 118 411 48 105 22 2 8 48 34 113 9 4
Stephen Vogt L 34 C 116 373 40 92 20 2 12 47 34 75 0 1
John Andreoli R 29 LF 115 420 52 94 19 4 6 35 51 130 20 7
Steven Duggar L 25 CF 117 467 55 116 26 4 6 42 46 139 13 6
Brock Stassi L 29 1B 89 286 35 68 16 1 6 30 37 67 0 1
Mac Williamson R 28 LF 101 348 46 81 17 1 14 43 30 103 3 2
Abiatal Avelino R 24 SS 132 489 53 119 20 6 9 43 26 108 16 6
Henry Ramos B 27 CF 99 347 39 91 17 3 7 35 24 75 6 4
Donovan Solano R 31 SS 110 397 39 102 22 1 4 33 16 61 2 1
Jerry Sands R 31 1B 93 307 36 71 16 1 10 36 33 88 2 1
Ryan Howard R 24 SS 120 465 47 118 23 3 4 41 27 77 6 4
Cameron Rupp R 30 C 90 311 31 67 15 1 10 34 29 110 0 0
Aramis Garcia R 26 C 101 386 40 84 17 1 11 41 22 128 0 1
Cesar Puello R 28 LF 90 315 42 78 14 2 6 30 29 85 8 4
Levi Michael B 28 SS 103 375 44 85 16 3 6 30 26 114 9 4
Ryder Jones L 25 3B 124 458 50 108 24 3 11 47 25 117 3 2
Mike Gerber L 26 CF 108 411 46 89 19 3 12 44 29 148 5 3
Rene Rivera R 35 C 61 173 14 37 7 0 5 21 10 58 0 0
Jin-De Jhang L 26 C 62 230 22 55 10 1 2 18 13 34 1 1
Ali Castillo R 30 3B 107 355 33 86 14 2 2 26 16 47 7 7
Ronnie Freeman R 28 C 71 231 22 52 9 1 3 17 14 57 0 0
Trevor Brown R 27 C 58 179 16 39 8 0 2 13 13 40 2 0
Caleb Gindl L 30 LF 84 266 27 60 12 2 4 24 22 64 1 2
Miguel Gomez B 26 2B 118 437 43 112 22 4 8 45 10 73 1 0
C.J. Hinojosa R 24 SS 102 395 40 92 18 2 4 31 29 68 6 4
Eury Perez R 29 RF 73 219 23 57 9 3 1 19 11 38 13 5
Pablo Sandoval B 32 3B 92 293 28 70 13 1 8 35 20 60 0 0
Zach Green R 25 1B 106 385 43 80 22 2 12 46 26 155 1 1
Chris Shaw L 25 LF 131 495 55 113 27 2 19 62 30 175 1 0
Peter Maris L 25 2B 87 317 35 72 12 3 6 28 27 72 5 5
Hamlet Marte R 25 C 72 265 27 56 12 1 6 23 17 95 2 1
Luigi Rodriguez B 26 RF 100 362 39 78 14 3 11 37 23 138 10 8
Myles Schroder R 31 1B 93 322 30 67 13 2 6 27 14 97 5 3
Heath Quinn R 24 LF 92 350 37 75 15 0 8 32 28 126 3 1
Matt Winn R 26 C 93 326 31 54 13 1 8 28 27 163 0 0
Sandro Fabian R 21 RF 120 455 43 91 20 1 10 41 18 138 2 3
Josh Rutledge R 30 2B 57 170 16 34 6 1 2 11 11 57 1 1
Jalen Miller R 22 2B 130 524 53 115 26 2 8 46 25 145 8 5

 

Batters – Rate Stats
Player PA BA OBP SLG OPS+ ISO BABIP RC/27 Def WAR No. 1 Comp
Buster Posey 479 .288 .363 .407 109 .118 .318 5.7 7 3.8 Earl Battey
Brandon Crawford 566 .254 .320 .410 97 .156 .304 4.7 9 3.2 Jay Bell
Brandon Belt 484 .250 .351 .433 112 .183 .319 5.5 8 2.8 Leon Durham
Joe Panik 495 .275 .337 .394 98 .119 .295 5.0 0 2.0 Jeff Treadway
Evan Longoria 574 .258 .305 .419 94 .161 .295 4.7 1 1.9 Tim Wallach
Alen Hanson 427 .249 .286 .402 84 .153 .299 4.2 3 1.3 Luis Rivas
Breyvic Valera 470 .267 .324 .358 86 .092 .291 4.1 2 1.2 Wallace Johnson
Anthony Garcia 506 .247 .323 .414 99 .167 .292 4.8 -2 1.1 Kurt Bierek
Drew Ferguson 396 .244 .329 .359 87 .115 .328 4.1 -1 1.0 Larry Bigbie
Austin Slater 455 .255 .319 .377 89 .122 .334 4.4 1 0.9 Ruben Mateo
Stephen Vogt 413 .247 .310 .408 93 .161 .280 4.5 -8 0.8 Bill Freehan
John Andreoli 478 .224 .311 .331 75 .107 .310 3.7 7 0.8 Reggie Williams
Steven Duggar 517 .248 .317 .360 84 .111 .342 4.1 -5 0.7 Rich Becker
Brock Stassi 328 .238 .326 .364 88 .126 .291 4.1 3 0.7 Ray Giannelli
Mac Williamson 386 .233 .303 .408 91 .175 .290 4.3 0 0.7 Scott Bryant
Abiatal Avelino 523 .243 .285 .364 75 .121 .296 3.8 -3 0.6 Hector Luna
Henry Ramos 378 .262 .309 .389 88 .127 .317 4.3 -4 0.5 Andrew Locke
Donovan Solano 421 .257 .288 .348 72 .091 .295 3.6 -1 0.4 Alvaro Espinoza
Jerry Sands 344 .231 .308 .388 88 .156 .292 4.2 1 0.4 Jarrod Patterson
Ryan Howard 503 .254 .298 .342 74 .088 .297 3.6 -4 0.4 Dean DeCillis
Cameron Rupp 344 .215 .285 .367 76 .151 .298 3.6 -4 0.4 Chad Moeller
Aramis Garcia 413 .218 .264 .352 66 .135 .296 3.2 1 0.4 Alvin Colina
Cesar Puello 360 .248 .329 .362 88 .114 .321 4.3 -2 0.3 Domingo Michel
Levi Michael 416 .227 .295 .333 71 .107 .310 3.5 -3 0.3 Doug Baker
Ryder Jones 493 .236 .282 .373 76 .138 .294 3.7 -2 0.3 Brennan King
Mike Gerber 447 .217 .271 .365 71 .148 .307 3.4 0 0.2 Justin Bowles
Rene Rivera 188 .214 .267 .341 64 .127 .291 3.1 0 0.1 Shawn Wooten
Jin-De Jhang 247 .239 .280 .317 62 .078 .273 3.1 0 0.1 Dave Miley
Ali Castillo 379 .242 .276 .310 59 .068 .275 2.8 7 0.1 Robert Eenhoorn
Ronnie Freeman 249 .225 .270 .312 58 .087 .287 2.9 1 0.0 Kyle Geiger
Trevor Brown 195 .218 .278 .296 57 .078 .270 3.0 -1 -0.1 David Duff
Caleb Gindl 292 .226 .285 .331 67 .105 .283 3.2 2 -0.2 Jeff Wetherby
Miguel Gomez 451 .256 .273 .380 75 .124 .292 3.8 -6 -0.2 Donnie Hill
C.J. Hinojosa 432 .233 .287 .319 65 .086 .272 3.2 -4 -0.2 Keoni DeRenne
Eury Perez 239 .260 .303 .342 75 .082 .311 3.9 -2 -0.3 Jason Bourgeois
Pablo Sandoval 319 .239 .292 .372 79 .133 .276 3.8 -7 -0.3 Geoff Blum
Zach Green 422 .208 .270 .369 72 .161 .312 3.4 1 -0.4 Ryan Mulhern
Chris Shaw 533 .228 .278 .406 83 .178 .312 4.0 -7 -0.4 Glenn Davis
Peter Maris 351 .227 .287 .341 70 .114 .276 3.3 -5 -0.4 Chris Lombardozzi
Hamlet Marte 285 .211 .257 .332 59 .121 .305 2.9 -6 -0.7 David Ross
Luigi Rodriguez 391 .215 .264 .362 68 .146 .315 3.1 0 -0.7 Tony Barron
Myles Schroder 348 .208 .255 .317 54 .109 .279 2.7 5 -0.8 Marc Sagmoen
Heath Quinn 384 .214 .279 .326 64 .111 .310 3.1 -2 -0.8 Lance Hallberg
Matt Winn 357 .166 .233 .285 40 .120 .297 2.2 -1 -0.9 Steve Lomasney
Sandro Fabian 485 .200 .238 .314 49 .114 .264 2.4 10 -0.9 John Lindsey
Josh Rutledge 184 .200 .255 .282 46 .082 .288 2.4 -4 -0.9 Paul Hoover
Jalen Miller 559 .219 .261 .323 58 .103 .288 2.9 -3 -1.0 Chris Patten

 

Pitchers – Counting Stats
Player T Age W L ERA G GS IP H ER HR BB SO
Madison Bumgarner L 29 8 8 3.86 24 24 147.0 139 63 21 37 135
Johnny Cueto R 33 7 7 3.92 22 22 133.0 131 58 17 35 110
Dereck Rodriguez R 27 7 7 4.19 27 26 146.0 150 68 18 45 114
Drew Pomeranz L 30 7 8 4.42 28 21 116.0 111 57 14 57 107
Derek Holland L 32 7 8 4.54 29 25 134.7 135 68 19 56 118
Jeff Samardzija R 34 7 8 4.59 22 22 131.3 134 67 19 35 109
Will Smith L 29 3 2 2.94 57 0 52.0 41 17 5 17 69
Tony Watson L 34 5 4 3.17 66 0 59.7 54 21 6 15 57
Andrew Suarez L 26 9 11 4.60 30 29 162.3 176 83 24 47 130
Conner Menez L 24 8 10 4.52 27 27 125.3 123 63 14 74 115
Carlos Navas R 26 4 4 3.93 43 1 68.7 66 30 7 24 63
Reyes Moronta R 26 4 3 3.39 65 0 58.3 44 22 4 36 74
Mark Melancon R 34 2 2 3.22 47 0 44.7 43 16 3 11 35
Ty Blach L 28 7 9 4.55 37 18 128.7 143 65 14 36 73
Chris Stratton R 28 8 11 4.73 28 26 144.7 155 76 18 57 111
Keyvius Sampson R 28 8 10 4.69 26 19 126.7 106 66 15 76 129
Derek Law R 28 3 3 3.67 49 0 56.3 54 23 4 20 49
Sam Dyson R 31 4 4 3.84 64 0 58.7 58 25 5 20 44
Shaun Anderson R 24 6 9 4.86 25 24 129.7 142 70 20 41 97
Logan Webb R 22 3 4 4.81 27 24 88.0 91 47 11 42 70
Chase Johnson R 27 3 4 4.74 19 17 62.7 68 33 6 29 40
Dillon McNamara R 27 3 3 4.21 39 1 51.3 51 24 5 23 44
Ray Black R 29 3 3 3.94 56 0 48.0 33 21 5 34 77
Tyler Rogers R 28 3 3 4.02 52 0 65.0 65 29 4 28 47
Sam Coonrod R 26 5 7 4.89 22 18 95.7 99 52 12 49 79
Pat Venditte R 34 3 3 4.44 38 0 48.7 46 24 6 24 45
Jake Barrett R 27 2 3 4.03 53 0 58.0 52 26 6 31 62
Sam Moll L 27 2 2 4.02 40 0 47.0 48 21 4 18 37
Travis Bergen L 25 3 3 4.13 30 0 28.3 26 13 3 13 27
Steven Okert L 27 2 2 4.10 52 0 48.3 46 22 7 16 49
Tyler Herb R 27 5 8 5.17 21 21 108.0 120 62 14 49 73
Manny Parra L 36 2 2 4.14 39 0 45.7 46 21 3 23 35
Jamie Callahan R 24 3 3 4.50 29 1 40.0 41 20 4 19 32
Sam Wolff R 28 2 3 4.37 29 0 35.0 32 17 4 21 39
Pierce Johnson R 28 3 3 4.52 45 3 63.7 60 32 7 35 64
Enderson Franco R 26 6 9 5.22 26 21 119.0 135 69 17 52 86
Jordan Schafer L 32 1 1 4.59 27 1 33.3 32 17 4 17 33
Brandon Beachy R 32 1 1 5.79 6 6 23.3 26 15 4 14 15
Pat Ruotolo R 24 2 3 4.89 41 0 42.3 40 23 8 22 51
Josh Osich L 30 1 1 4.71 54 1 57.3 59 30 7 28 47
Casey Kelly R 29 7 11 5.22 28 23 131.0 151 76 21 45 89
Joan Gregorio R 27 4 6 5.35 20 15 79.0 83 47 14 39 71
Melvin Adon R 25 4 6 5.40 19 16 80.0 89 48 9 51 55
Carlos Diaz L 25 2 3 4.80 40 0 50.7 50 27 4 34 40
Kieran Lovegrove R 24 2 3 4.91 42 0 55.0 54 30 5 39 47
Garrett Williams L 24 5 8 5.30 31 16 88.3 92 52 8 67 66
Jose Valdez R 29 3 4 5.27 45 0 54.7 54 32 8 36 52
Taylor Hill R 30 5 9 5.48 23 19 106.7 130 65 18 31 53
Tyler Beede R 26 5 9 5.55 30 17 99.0 108 61 15 60 83
Jordan Johnson R 25 6 11 5.62 24 23 115.3 128 72 19 63 83
Ryan Halstead R 27 2 4 5.64 38 0 52.7 60 33 12 16 42
Michael Connolly R 27 4 8 5.85 25 14 92.3 112 60 17 37 53

 

Pitchers – Rate Stats
Player TBF K/9 BB/9 HR/9 BABIP ERA+ ERA- FIP WAR No. 1 Comp
Madison Bumgarner 612 8.27 2.27 1.29 .285 102 98 4.03 2.0 Bud Black
Johnny Cueto 561 7.44 2.37 1.15 .290 100 100 4.08 1.7 Bob Forsch
Dereck Rodriguez 630 7.03 2.77 1.11 .297 97 103 4.28 1.7 Steve Fireovid
Drew Pomeranz 511 8.30 4.42 1.09 .294 92 109 4.43 1.0 Rich Robertson
Derek Holland 590 7.89 3.74 1.27 .296 90 112 4.59 1.0 Shawn Estes
Jeff Samardzija 557 7.47 2.40 1.30 .295 89 113 4.26 0.9 Bill Gullickson
Will Smith 212 11.94 2.94 0.87 .300 134 75 2.78 0.9 Ken Dayley
Tony Watson 247 8.60 2.26 0.91 .289 124 80 3.45 0.8 Tony Castillo
Andrew Suarez 705 7.21 2.61 1.33 .306 86 117 4.47 0.8 Bobby Livingston
Conner Menez 571 8.26 5.31 1.01 .302 87 115 4.71 0.8 Trevor Wilson
Carlos Navas 295 8.26 3.15 0.92 .299 103 97 3.86 0.6 Daryl Irvine
Reyes Moronta 253 11.42 5.55 0.62 .290 116 86 3.41 0.6 Brian Wilson
Mark Melancon 186 7.05 2.22 0.60 .294 122 82 3.26 0.6 Dick Coffman
Ty Blach 557 5.11 2.52 0.98 .299 87 115 4.34 0.5 Mike Caldwell
Chris Stratton 640 6.91 3.55 1.12 .305 83 120 4.52 0.5 Kevin Hodges
Keyvius Sampson 558 9.17 5.40 1.07 .273 84 119 4.57 0.4 Victor Zambrano
Derek Law 241 7.83 3.20 0.64 .301 107 93 3.51 0.3 Mark Lee
Sam Dyson 253 6.75 3.07 0.77 .293 103 97 3.93 0.3 Jack Aker
Shaun Anderson 569 6.73 2.85 1.39 .302 81 123 4.77 0.3 Mike Lincoln
Logan Webb 396 7.16 4.30 1.13 .300 82 122 4.82 0.2 Jesus Silva
Chase Johnson 284 5.74 4.16 0.86 .302 83 120 4.70 0.2 Sean White
Dillon McNamara 227 7.71 4.03 0.88 .303 97 103 4.22 0.1 Casey Daigle
Ray Black 211 14.44 6.38 0.94 .301 100 100 3.55 0.1 Dwayne Henry
Tyler Rogers 287 6.51 3.88 0.55 .299 98 102 3.98 0.1 Bruce Dal Canton
Sam Coonrod 434 7.43 4.61 1.13 .302 81 124 4.85 0.1 Allen Edwards
Pat Venditte 216 8.32 4.44 1.11 .290 92 109 4.57 0.1 Jim Czajkowski
Jake Barrett 256 9.62 4.81 0.93 .299 98 102 4.12 0.1 George Smith
Sam Moll 205 7.09 3.45 0.77 .306 98 102 3.96 0.1 Jim Crawford
Travis Bergen 124 8.58 4.13 0.95 .291 99 101 4.21 0.1 Mike Venafro
Steven Okert 207 9.12 2.98 1.30 .295 96 104 4.18 0.1 Javier Lopez
Tyler Herb 490 6.08 4.08 1.17 .305 79 127 5.01 0.0 Ben Fritz
Manny Parra 205 6.90 4.53 0.59 .303 95 105 4.11 0.0 Joe Gibbon
Jamie Callahan 179 7.20 4.28 0.90 .303 90 111 4.43 0.0 Rick Greene
Sam Wolff 158 10.03 5.40 1.03 .304 93 107 4.38 0.0 Gabriel Dehoyos
Pierce Johnson 285 9.05 4.95 0.99 .301 87 115 4.36 -0.1 Ryan Henderson
Enderson Franco 542 6.50 3.93 1.29 .311 78 128 5.05 -0.1 Rick Sutcliffe
Jordan Schafer 148 8.91 4.59 1.08 .301 86 116 4.35 -0.1 C.J. Nitkowski
Brandon Beachy 109 5.79 5.40 1.54 .293 68 147 6.02 -0.2 Jim Abbott
Pat Ruotolo 189 10.84 4.68 1.70 .305 83 120 4.97 -0.3 Lariel Gonzalez
Josh Osich 258 7.38 4.40 1.10 .301 84 119 4.72 -0.3 John Curtis
Casey Kelly 586 6.11 3.09 1.44 .307 76 132 5.07 -0.3 Jim Magrane
Joan Gregorio 357 8.09 4.44 1.59 .301 74 136 5.29 -0.3 Carl Dale
Melvin Adon 379 6.19 5.74 1.01 .309 73 137 5.34 -0.4 Rich Dorman
Carlos Diaz 235 7.11 6.04 0.71 .299 82 122 4.79 -0.4 Brian Adams
Kieran Lovegrove 257 7.69 6.38 0.82 .301 83 121 4.91 -0.4 Lloyd Allen
Garrett Williams 423 6.72 6.83 0.82 .304 74 134 5.31 -0.4 Ken Chase
Jose Valdez 253 8.56 5.93 1.32 .299 77 129 5.29 -0.6 Marty McLeary
Taylor Hill 478 4.47 2.62 1.52 .303 72 139 5.39 -0.6 Allen Davis
Tyler Beede 464 7.55 5.45 1.36 .310 71 141 5.44 -0.7 Julien Tucker
Jordan Johnson 535 6.48 4.92 1.48 .300 70 143 5.67 -0.8 Jim Hunter
Ryan Halstead 233 7.18 2.73 2.05 .300 70 143 5.60 -0.9 Dwayne Pollok
Michael Connolly 424 5.17 3.61 1.66 .305 67 148 5.79 -1.0 Scott Shoemaker

 

Disclaimer: ZiPS projections are computer-based projections of performance. Performances have not been allocated to predicted playing time in the majors — many of the players listed above are unlikely to play in the majors at all in 2019. ZiPS is projecting equivalent production — a .240 ZiPS projection may end up being .280 in AAA or .300 in AA, for example. Whether or not a player will play is one of many non-statistical factors one has to take into account when predicting the future.

Players are listed with their most recent teams, unless I have made a mistake. This is very possible, as a lot of minor-league signings go generally unreported in the offseason.

ZiPS’ projections are based on the American League having a 4.29 ERA and the National League having a 4.15 ERA.

Players who are expected to be out due to injury are still projected. More information is always better than less information, and a computer isn’t the tool that should project the injury status of, for example, a pitcher who has had Tommy John surgery.

Both hitters and pitchers are ranked by projected 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 which appear in 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.


Job Posting: Giants Baseball Operations

Please note, this posting contains three positions.

Position: Baseball Operations Analyst

Reports To: Director of Baseball Analytics
Department: Baseball Operations
Status: Full-Time/Exempt
Location: Scottsdale, Arizona

Position Summary:
The San Francisco Giants are seeking an Analyst to join the Baseball Operations department. This individual will be part of the R&D team and provide research and analysis to support the front office and player development staff. This position will also work closely with the application development team to design and develop statistical models and tools using advanced data sources within new and existing applications. The ideal candidate will possess strong analytical skills, the ability to communicate effectively to non-technical people, and both passion and intellectual curiosity for the game of baseball.

Position Responsibilities:

  • Provide statistical analysis and quantitative research to support Baseball Operations staff
  • Communicate analysis to Baseball Operations staff effectively
  • Research, design, and test predictive and statistical models using data and technology to support all aspects of Baseball Operations
  • Collaborate with application development team to design and integrate analytic tools into existing baseball information system
  • Maintain understanding of new public baseball research and emerging statistical tools, as well as all potential vendor data/technology options

Knowledge and Skills:

  • Bachelor’s degree in computational field, such as statistics, engineering, computer science, or applied math
  • Proficiency with SQL and relational databases (Microsoft SQL preferred)
  • Bilingual in Spanish is a plus.
  • Experience with additional programming languages (e.g. R, Python) is strongly preferred
  • Understanding of statistical modeling and machine learning techniques
  • Ability to communicate effectively to all members of Baseball Operations
  • Passion for baseball, intellectual curiosity, and understanding of sabermetric concepts
  • Ability to work evenings, weekends, holidays, and travel as dictated by the baseball calendar
  • Must be willing to travel extensively

To Apply:
To apply, please submit your cover letter and resume here. The deadline to apply is February 15, 2019.

Position: Data Scientist

Reports To: Director of Baseball Analytics
Department: Baseball Operations
Status: Full-Time/Exempt

Position Summary:
The San Francisco Giants are seeking a Data Scientist to join the Baseball Operations department. This individual will be part of the R&D team and develop advanced predictive models to support front office and in-game decision making. This position will also work closely with the application development team to integrate these decision-support tools into new and existing applications. The ideal candidate will possess advanced data modeling skills, the ability to communicate effectively to non-technical people, and both passion and intellectual curiosity for the game of baseball.

Position Responsibilities:

  • Research, design, and test predictive and statistical models using data and technology to support all aspects of Baseball Operations
  • Collaborate with application development team to design and integrate decision-support systems and tools into baseball information system
  • Share technical expertise with junior members of department
  • Maintain understanding of new public baseball research and emerging statistical tools, as well as all potential vendor data/technology options
  • Communicate findings to Baseball Operations staff effectively
  • Stay abreast of ongoing technical and baseball research

Knowledge and Skills:

  • Graduate degree in computational field, such as computer science, statistics, engineering, or applied math
  • Four years of work experience in mathematical, statistical, and predictive modeling
  • Understanding of statistical modeling and machine learning techniques
  • Expertise in programming languages (e.g. R, Python)
  • Proficiency with SQL and relational databases
  • Ability to communicate effectively to all members of the Baseball Operations staff
  • Passion for baseball, intellectual curiosity, and understanding of sabermetric concepts

To Apply:
To apply, please submit your cover letter and resume here. The deadline to apply is February 15, 2019.

Position: Sports Science Analyst

Reports To: Director of Baseball Analytics
Department: Baseball Operations
Status: Full-Time/Exempt

Position Summary:
The San Francisco Giants are seeking a Sports Science Analyst to join the Baseball Operations department. This individual will be part of the R&D team and provide research and analysis to support the medical, training, and player development staffs. This position will also work closely with the application development team to design and develop statistical models and tools using advanced data sources within new and existing applications. The ideal candidate will possess a strong foundation with advanced training in performance science disciplines, strong analytical skills, the ability to communicate effectively to non-technical people, and both passion and intellectual curiosity for the game of baseball.

Position Responsibilities:

  • Collaborate with medical and training staffs to integrate performance tracking information into sports science, injury prevention and training programs
  • Collect and manage sports science data sources across the Giants organization
  • Provide analysis and reporting on sports science data to optimize player performance and minimize injury risk
  • Explore new sports science technologies and maintain knowledge of public research to provide innovative value to the organization
  • Conduct quantitative research to support ad-hoc requests from Medical staff to improve decision-making process
  • Work with application development and analytics teams to integrate data sources into internal information systems

Knowledge and Skills:

  • Work experience and/or degree in analytical field, such as statistics, computer science, applied math, or engineering
  • Foundational knowledge in performance science disciplines, including biomechanics, sports medicine, exercise physiology, and/or athletic training
  • Experience working with large data sets
  • Interest and comfort working with new performance tracking technology
  • Familiarity with programming languages and concepts is a plus
  • Ability to communicate effectively to all members of the Baseball Operations and Medical staffs

To Apply:
To apply, please submit your cover letter and resume here. The deadline to apply is February 15, 2019.

The Giants are an equal employment opportunity employer and consider applicants for all positions regardless of race, religious creed, color, national origin, ancestry, medical condition or disability, genetic condition, marital status, domestic partnership status, sex, gender, gender identity, gender expression, age, sexual orientation, military or veteran status and any other protected class under federal, state or local law. Pursuant to the San Francisco Fair Chance Ordinance, they will consider for employment qualified applicants with arrest and conviction records. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The content in this posting was created and provided solely by the San Francisco Giants.


Derek Holland Is Derek Holland Again

One season ago, Derek Holland was one of the worst pitchers in baseball. There were 134 pitchers in the majors who threw at least 100 innings. Holland wound up with the fifth-worst ERA-. He wound up with the single worst FIP-, and the single-worst xFIP-. He allowed the second-highest wOBA, and he allowed the very highest expected wOBA, based on Statcast. It was a new low for Holland in what had earlier been a promising career. After peaking with the Rangers when the Rangers were good, Holland fought knee trouble and shoulder trouble. After that miserable 2017 with the White Sox, Holland joined the Giants on a minor-league contract.

Last year’s Giants were bad. One of the things that happens when a team is bad is that the team also doesn’t draw very much attention. Criticism is heaped upon the good players who disappoint, and optimists might hunt for bright spots among youth. But bad teams are by and large forgotten or ignored as a summer wears on. As a consequence of that, you might not have noticed Derek Holland’s 2018. I know I didn’t, for a while. It was a terrible year for the Giants. It was a successful year for Holland.

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