2022 Golden Days Era Committee Candidate: Billy Pierce

The following article is part of a series concerning the 2022 Golden Days Era Committee ballot, covering managers and long-retired players whose candidacies will be voted upon on December 5. For an introduction to this year’s ballot, see here, and for an introduction to JAWS, see here. Several profiles in this series are adapted from work previously published at SI.com, Baseball Prospectus, and Futility Infielder. All WAR figures refer to the Baseball-Reference version unless otherwise indicated.

Billy Pierce

2022 Golden Days Candidate: Billy Pierce
Pitcher Career WAR Peak WAR JAWS
Billy Pierce 53.4 37.9 45.6
Avg. HOF SP 73.3 50.0 61.7
W-L SO ERA ERA+
211-169 1,999 3.27 119
SOURCE: Baseball-Reference

An undersized southpaw listed at just 5-foot-11 and 160 pounds but armed with a blazing fastball, Billy Pierce earned All-Star honors seven times during his 18-year career (1945, ’48-64) and helped both the 1959 White Sox and ’62 Giants to pennants. He ranked among the game’s best pitchers during the 1950s, posting a higher WAR (43.9) than any other AL hurler and running second in both ERA+ (128, behind Whitey Ford‘s 140) and wins (155, behind Early Wynn’s 188) during that span. Had each league issued its own Cy Young award — which didn’t happen until 1967, 11 years after the first one — Pierce likely would have taken home some hardware.

Pierce was born in Detroit on April 2, 1927, and grew up in suburban Highland Park, Michigan. As he once said, he began playing baseball at age 10; after he refused to have his tonsils removed, his parents coerced him by offering a major league baseball and a good glove. “I took the bribe,” he said. “It really was a thrill to throw around that league ball, and I’ve been throwing ever since.” Read the rest of this entry »


FanGraphs Audio: Drew Saylor Talks Royals Prospects

Episode 949

This week on the podcast, we learn a lot about Kansas City’s farm system before a chat about potential moves before the 40-man roster deadline.

  • To kick things off, David Laurila welcomes Drew Saylor, hitting coordinator for the Kansas City Royals. Saylor shares his journey to the position, and what it was like to begin the job just before a very challenging and strange 2020 season. We also get an inside perspective on a number of promising players who could make an impact with the big league club before long, including Bobby Witt Jr., MJ Melendez, Nick Pratto, Nathan Eaton, Seuly Matias, and more. [2:09]
  • In the second half, RosterResource guru Jason Martinez is joined by lead prospect analyst Eric Longenhagen to discuss the 40-man roster deadline. There are a number of players around the league who teams must add to the 40-man roster to protect them from the Rule 5 draft this winter, which also unfortunately means some players will be designated for assignment to make room. Jason and Eric go over some of the more obvious transactions they expect to happen as well as a few intriguing players who might catch a team’s eye if left up for grabs. [31:58]

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Audio after the jump. (Approximate 1 hour 9 minutes play time.)


Job Posting: San Diego Padres Sports Science Intern

Position: Intern

Department: Sports Science
Reports To: Director, Sports Science

Summary:
The San Diego Padres are seeking Interns in Sports Science. Each Sports Science Intern will be based out of one of the Padres minor league affiliates (Low-A Lake Elsinore, High-A Fort Wayne, Double-A San Antonio, Triple-A El Paso, or our Complex in Peoria). Candidates can indicate which affiliates they are able to locate to during the application process. Interns will be responsible for collecting/maintaining/organizing data from all player development technologies and using that data to assist coaches and other Sports Science staff in designing and implementing development plans for players in the Padres organization. Read the rest of this entry »


Job Posting: Tampa Bay Rays Baseball Systems Positions

Please note, this posting contains four positions.

Position: Software Developer

The Tampa Bay Rays are looking for an experienced Ruby on Rails Developer to help the Baseball Systems department build the best software and analytics solutions in all of Major League Baseball. Read the rest of this entry »


Effectively Wild Episode 1773: Hats Off

EWFI
Ben Lindbergh and Meg Rowley banter about the Astros re-signing Justin Verlander and MLB’s plan to house minor leaguers, then (19:53) bring on listener and top-tier Patreon supporter John Choe to discuss the single game he played in indy ball, the Moonlight Graham Society he co-founded to recognize minor league cups of coffee, how his love of baseball stats helped guide him to his current career, how he and his kids have spread the gospel of sabermetrics, his daughter’s on-field experience with Baseball For All, and more. After that (42:29), Ben, Meg, and John answer listener emails about why popular pitcher stats don’t mirror popular hitting stats, how different baseball would be if players were removed from games after making outs and if players and teams could copyright tactics, whether umps should intervene in an unforced walk-off, and whether players could opt not to wear caps. Lastly (1:24:17), Ben talks to another listener/Patreon supporter, Michael Mountain, about the most efficient itinerary for a trip to every affiliated ballpark in 2022.

Audio intro: Kelley Stoltz, "You’re Out of This World"
Audio outro: Smash Mouth, "Shoes ‘N’ Hats"

Link to Brendan Gawlowski on Verlander
Link to Baseball America on MiLB housing
Link to MiLB.com on MiLB housing
Link to the Moonlight Graham Society website
Link to John’s page at the MGS site
Link to John’s article about the MGS
Link to NPR story on Evan Katz
Link to Sam Miller on playing in a pro game
Link to list of minor league one-game players
Link to lists of major league one-game players
Link to Baseball For All website
Link to paper on protecting sports secrets
Link to Ben on keeping secrets in MLB
Link to Bryan Grosnick on openers
Link to Sam on the history of bullpenning
Link to story on copyrighting game mechanics
Link to Michael’s previous pod appearance
Link to Reddit thread on 2022 road trip
Link to Michael’s ballpark grand tour
Link to traveling salesperson problem
Link to NoContextEWPod account
Link to Acuña’s quote
Link to Stove League teaser video
Link to stream Stove League via Kocowa
Link to stream Stove League via Viki

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2022 Golden Days Era Committee Candidate: Gil Hodges

The following article is part of a series concerning the 2022 Golden Days Era Committee ballot, covering managers and long-retired players whose candidacies will be voted upon on December 5. For an introduction to this year’s ballot, see here, and for an introduction to JAWS, see here. Several profiles in this series are adapted from work previously published at SI.com, Baseball Prospectus, and Futility Infielder. All WAR figures refer to the Baseball-Reference version unless otherwise indicated.

Gil Hodges

2022 Golden Days Candidate: Gil Hodges
Player Career WAR Peak WAR JAWS
Gil Hodges 43.9 33.7 38.8
Avg. HOF 1B 66.9 42.7 54.8
H HR AVG/OBP/SLG OPS+
1,921 370 .273/.359/.487 131
SOURCE: Baseball-Reference

“Hodges was the solid anchorman around whom the others revolved. He lent class and dignity and respect to his team and to his profession. As has been written — and rightly so — he had all the attributes of an Eagle Scout. This was quite a man.” — Arthur Daley, New York Times, April 4, 1972

Gil Hodges was a genuinely beloved player in his day and is probably the most popular candidate on the Golden Days ballot. Indeed, he might be the most popular candidate on any ballot. More collective emotion has been spent trying to will Hodges — a 6-foot-2, 210-pound gentle giant — into Cooperstown than any other player. The closest miss, he surpassed 60% three times on the BBWAA ballot, peaking at 63.4% in 1983, his final year of eligibility; outside of currently eligible candidates, he stands as the only one even to cross the 50% threshold without eventually getting elected via the Veterans or Era Committees, an exception of which anyone who’s followed my work for the past two decades is almost certainly aware. What’s more, biographer Danny Peary claims that in 1993, when Ted Williams led the Veterans Committee, he would not allow ailing committee member Roy Campanella to vote by phone; thus, Hodges missed by one vote. He’s never gotten any closer.

Hodges was the Dodgers’ regular first baseman from 1948 through ’61, a span during which he earned All-Star honors eight times and helped his team to six pennants (plus another in 1947, when he was a reserve) and two championships. After returning to New York in 1962 as a reserve on the dismal expansion Mets, he managed the Senators before coming back to Queens and overseeing the ’69 team’s miraculous upset of the Orioles in the World Series. Further managerial success at that level eluded him, as he died of a heart attack on April 2, 1972, two days shy of his 48th birthday. Read the rest of this entry »


The 2022 ZiPS Projections Are Coming!

The first ZiPS team projections will hit the site this coming Monday, and as I typically do, I’m going to use this space to talk a little bit about my philosophy behind ZiPS, my goals, and the new things I’ve worked on before they go live.

ZiPS is a computer projection system I initially developed in 2002–04 and which officially went live for the ’04 season. The origin of ZiPS is similar to Tom Tango’s Marcel the Monkey, coming from discussions I had with Chris Dial, one of my best friends (my first interaction with Chris involved me being called an expletive!) and a fellow stat nerd, in the late 1990s. ZiPS moved quickly from its original inception as a reasonably simple projection system, and now does a lot more and uses a lot more data than I ever envisioned 20 years ago. At its core, however, it’s still doing two primary tasks: estimating what the baseline expectation for a player is at the moment I hit the button, and then estimating where that player may be going using large cohorts of relatively similar players.

ZiPS uses multi-year statistics, with more recent seasons weighted more heavily; in the beginning, all the statistics received the same yearly weighting, but eventually, this became more varied based on additional research. And research is a big part of ZiPS. Every year, I run hundreds of studies on various aspects of the system to determine their predictive value and better calibrate the player baselines. What started with the data available in 2002 has expanded considerably: Basic hit, velocity, and pitch data began playing a larger role starting in ’13, while data derived from StatCast has been included in recent years as I’ve gotten a handle on the predictive value and impact of those numbers on existing models. I believe in cautious, conservative design, so data is only included once I have confidence in improved accuracy; there are always builds of ZiPS that are still a couple of years away. Additional internal ZiPS tools like zBABIP, zHR, zBB, and zSO are used to better establish baseline expectations for players. These stats work similarly to the various flavors of “x” stats, with the z standing for something I’d wager you’ve already figured out. Read the rest of this entry »


Astros, Verlander Agree to Return Engagement

The last time we saw Justin Verlander pitch, he looked like his usual, dominant self. In six innings against Seattle, he allowed only three hits and two runs while striking out seven. As had been the case in his Cy Young season, he was a little dinger-prone, surrendering two blasts to an otherwise overmatched Mariners lineup. But in an Opening Day start played in unusual circumstances, his stuff looked as sharp as ever.

Unfortunately, that last outing was in July of 2020. Within the week, Verlander landed on the injured list with a forearm strain. Two months later, the future Hall of Famer announced that he was undergoing Tommy John surgery. The procedure sidelined him for all of 2021, his last season prior to reaching free agency.

The timing gave the Astros a difficult decision. With no recent performance to evaluate, Houston nonetheless extended their ace a qualifying offer, which forced Verlander to pick between testing a very uncertain free agent market and taking a $10 million pay cut. He ultimately turned down the QO, but not the Astros themselves. In news amusingly broken by his brother Ben, Verlander re-signed with Houston yesterday on a one-year, $25 million deal that includes a $25 million player option for a second year. Read the rest of this entry »


Offseason Shopping Lists: NL and AL West

Last week, the FanGraphs staff and I previewed the top 50 free agents on this winter’s market. It takes two to tango, though (pending the development of my experimental one-person tango), which means the teams looking for players matter just as much. Over the course of this week, I’ll preview the needs of each team in baseball. Today, it’s time to preview the NL and AL Central. You can find the 10 teams in the East here and the Central here.

As much as possible, I’ve tried to be realistic. Yes, the Orioles could sign Carlos Correa, Marcus Semien, Freddie Freeman, Starling Marte, Max Scherzer, and Marcus Stroman in pursuit of a playoff berth next year. They not going to sign even one of those players, though, and I’ve focused on what a team should do given real-world budgets. You won’t see the Rays listed as a landing spot for free agents in the market for $100 million contracts, or anything of that sort. As much as possible, this list is what teams might actually do. Let’s get to it. Read the rest of this entry »


Blue Jays Sign José Berríos to Reasonable, Necessary Extension

A busy early offseason continued apace on Tuesday, with the Blue Jays coming to terms with pitcher José Berríos on a seven-year deal worth up to $131 million, pending the usual physical. The new pact buys out the last year of his arbitration eligibility and includes limited trade protection and an opt-out clause that the former Twins ace can exercise after the 2026 season.

It would be hard to characterize this one as a major surprise. The players who went to Minnesota in return for Berríos, Austin Martin and Simeon Woods Richardson, were ranked here as the second- and third-best prospects in Toronto’s system, respectively. To get a richer haul at the deadline, you had to trade literally Max Scherzer and Trea Turner. It’s not the type of move you make if you want the pitcher to walk in 14 months with only a possible draft compensation pick in exchange.

Berríos hasn’t developed into a superstar, but he’s been consistently in that 110–120 ERA+, borderline-ace territory since being promoted to Minnesota for good in early 2017. And he has one thing that many other star pitchers lack: a nearly flawless record of avoiding injury; as a major leaguer, he hasn’t made an appearance on the Injured List or missed a single start due to injury. The most he’s been nicked up was being pulled from a start because of a blister in 2019 and some abdominal tightness this September. It’s not just luck; injury time is a useful predictor of future injury time.

At the time of the trade, Toronto’s rotation ranked 19th in baseball in total WAR, nearly a win behind the Royals at 18. The starting pitching was coming around with the emergence of Alek Manoah in June, but he missed some time with a back contusion stemming from a fall in the dugout, and Nate Pearson’s groin problems were enough to keep him from serving as a reinforcement down the stretch. In a packed wild-card race with the Jays 4 1/2 games back at the trade deadline, Berríos provided an opportunity for a significant upgrade in the rotation, and he was as good as advertised, putting up a 3.58 ERA and a 3.28 FIP over 12 starts and throwing seven consecutive quality starts to finish his 2021 campaign.

ZiPS Projection – José Berríos (Preliminary)
Year W L S ERA G GS IP H ER HR BB SO ERA+ WAR
2022 13 8 0 3.81 31 31 184.3 169 78 27 44 191 118 3.7
2023 12 8 0 3.85 29 29 173.0 157 74 25 41 176 117 3.4
2024 11 8 0 3.93 28 28 169.3 155 74 25 40 169 114 3.2
2025 10 7 0 3.92 26 26 153.7 140 67 22 36 153 115 2.9
2026 9 7 0 3.94 24 24 144.0 133 63 22 34 145 114 2.7
2027 9 7 0 4.00 23 23 135.0 125 60 21 32 137 112 2.4
2028 8 6 0 4.13 21 21 126.3 119 58 20 31 128 109 2.1

Read the rest of this entry »