His First Love Forlorn, Jordan Weems is Poised to Debut as a Pitcher

Every now and again I’ll conduct an interview that falls through the cracks. For one reason or another, the audio file ends up on the back burner long enough that its timeliness evaporates. Due to my neglect — and often to my consternation — the conversation never sees the light of day.

There are notable exceptions. Jordan Weems will reportedly be on Oakland’s Opening Day roster. In 2017 spring training, I’d talked to the then-24-year-old about his recent conversion from catcher to pitcher. He was in the Red Sox organization at the time, and while it was an interesting story… again, sometimes things fall through the cracks.

Fortunately I kept the audio, because it’s an even better story now. Nine years after Weems was drafted as a catcher out of a Columbus, Georgia high school, and seven months after he signed with the A’s as a minor-league free agent, he’s poised to make his major league debut as a reliever.

Weems was well south of the Mendoza line when his position player days ended midway through the 2016 season. The 2011 third round pick had a .119/.241/.134 line with Double-A Portland, and his OPS over 1,180 professional plate appearances was a paltry .568. He knew that his career was in peril, but at the same time, he wasn’t expecting a move to the mound. Read the rest of this entry »


First-Pitch Curveball: A Whodunit

Think of the stereotypical curveball thrown to start an at-bat. Picture it in your mind’s eye. It’s big and loopy, starting high and then swooping into the zone to steal a strike from the incredulous batter. It’s an optical illusion, a strike disguised as a ball. It’s probably more or less 12-6 when it comes to break; a perfect rainbow from pitcher’s hand to catcher’s mitt. And if it’s an active player throwing it, you’re probably picturing Rich Hill.

In some ways, you’re not wrong. Rich Hill does throw a ton of curveballs, and first-pitch curveballs are in the strike zone far more often than hooks thrown on every other count. Hill isn’t the foremost practitioner of the art, however. Of the 359 pitchers who faced 100 batters and threw at least one curveball last year, Hill had the 41st-highest first-pitch curveball rate at 32.4%. He was just outside the top 10% of the league, not out front by a mile.

In fact, relative to how often he throws his curve, Hill is one of the least likely pitchers to throw it on the first pitch. On non-first-pitches, Hill threw it 44.4% of the time, 12 percentage points more often. Only 12 pitchers had a bigger negative differential when it came to starting batters off with curveballs relative to the rest of their pitch mix.
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2020 Positional Power Rankings: Summary

Over the past week and a half, we’ve published our annual season preview, ranking the league’s players by position based on a blend of our projections (a 50/50 split between ZiPS and Steamer) and our manually maintained playing time estimates courtesy of Jason Martinez of RosterResource fame. The result is a document that rivals In Search of Lost Time for length, though we’ve striven to make it a touch more readable. If you happen to have missed any of those installments, you can use the handy navigation widget above to catch up. And remember, if you’re a fan of say, the Dodgers, and don’t want to see any other teams’ rankings but theirs, you can use the “View by Team” feature in any of those pieces, and look at that, all Dodgers. No stinkin’ Astros for you.

Today, I’m going to summarize the results. We’ll look at some tables and pick out a few interesting tidbits, but first, it’s important to remember that this exercise captures a snapshot of how we project teams to perform now. Teams aren’t static, however. Since we’ve published our rankings, for instance, Gavin Lux has been optioned. Colin Poche likely needs Tommy John. Jordan Montgomery didn’t make the Yankees’ Opening Day roster. Hell, Franchy Cordero was traded to the Royals about 12 hours before the right field rankings were set to go live. Guys suffer injuries, lose playing time due to underperformance, and get traded. That’s why we maintain a Team WAR Totals page, which lists projected positional WAR by team and updates regularly throughout the season as we learn more about who is likely to take the field every day and what shape they’ll be in when they do. Now, don’t be alarmed — the WAR numbers you see there may vary slightly from what you see on the positional power rankings, mostly because those figures are aware of the injuries and transactions that have altered our playing time estimates since the power rankings went live. The z-scores I include later uses the WAR from the Team WAR Totals page. It’s a good page. Read the rest of this entry »


Effectively Wild Episode 1568: What We’re Most Excited to See This Season

EWFI
Ben Lindbergh, Meg Rowley, and Baseball Prospectus editor-in-chief Craig Goldstein banter about whether official scorers will be more or less accurate when they’re working from home. Then they conduct the second of two drafts that have been presented on back-to-back episodes, completing the set by selecting five things apiece that they’re excited to see (or not see) during the shortened 2020 season. (On the preceding episode, they drafted five things apiece that they’ll miss this season.)

Audio intro: White Denim, "Good News"
Audio outro: Paul Weller, "Here’s the Good News"

Link to article about official scorers
Link to Scherzer photo tweet
Link to Chris Taylor’s satisfying-sounding home run
Link to Ben on the strikeout-rate increase streak
Link to Ben on sabermetrics meeting the 60-game season
Link to Ben on embracing small-sample randomness
Link to photo of masked pitching coach covering mouth
Link to Rob Arthur on bat cracks in 2014
Link to Rob Arthur on bat cracks in 2020
Link to Ben Clemens on non-playoff teams improving
Link to Hawk-Eye intro
Link to Alyssa Nakken video
Link to Five and Dive podcast archive

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 Twitter Account
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 Email Us: podcast@fangraphs.com


Effectively Wild Episode 1567: What We’ll Miss Most This Season

EWFI
Ben Lindbergh, Meg Rowley, and Baseball Prospectus editor-in-chief Craig Goldstein banter about Ben’s latest bad dream about baseball writing and the Toronto (or Pittsburgh?) Blue Jays’ last-minute relocation. Then they conduct the first of two drafts that will be presented on back-to-back episodes, beginning by selecting five things apiece that they’ll miss about “normal” baseball during the shortened 2020 season. (Next time, they’ll draft five things apiece that they’re excited to see.)

Audio intro: Pulp, "You’re a Nightmare"
Audio outro: The Black Keys, "Sit Around and Miss You"

Link to the large baby
Link to Sam on booing the Astros
Link to Ben on the best and worst 60-game spans
Link to FanGraphs 60-game leaderboards
Link to Zach Kram on WAR in 2020
Link to Ben Clemens on Chico

 iTunes Feed (Please rate and review us!)
 Sponsor Us on Patreon
 Facebook Group
 Effectively Wild Wiki
 Twitter Account
 Get Our Merch!
 Email Us: podcast@fangraphs.com


The Blue Jays Are in Search of a Temporary New Home

The Buffalo Blue Jays? The Pittsburgh Blue Jays? The Biggio-Bichette-Vlad Jr. Traveling Sons of All-Stars and Motor Kings? One way or another Canada’s only Major League Baseball team will be the Toronto Blue Jays in name only during the 2020 season. That’s the upshot of a decision handed down by the Canadian government on Saturday, not because of anything the Blue Jays or MLB has done wrong, but because the United States has done such a poor job of containing the spread of COVID-19 that letting teams travel across the international border between the two countries has been deemed a public health risk. It’s a decision that’s left the Blue Jays and the rest of baseball scrambling for alternatives given that the team opens the season on July 24, with its home opener scheduled for July 29.

Already it was clear that one of the substantial logistical hurdles for any league attempting to play its games in the midst of a pandemic — the wisdom and morality of which are questionable at best, but a topic for another day — is the variation in local laws and mandates, particularly when it comes to quarantine rules and guidelines. Until late last week, the defending champion Nationals weren’t sure they could play at Nationals Park because of a directive for those in close contact with individuals diagnosed with COVID-19 to self-quarantine for 14 days, and a similar situation with respect to the Dodgers in Los Angeles is still being untangled.

But while those situations may tilt in favor of the teams — testifying either to the outsized importance of sports within our culture or to a misplacement of priorities (take your pick) — that’s not the case with regards to the Blue Jays. With the U.S. regularly breaking single-day records for new coronavirus cases, and the U.S.-Canada border already closed to nonessential travel through at least August 21, on Saturday the Canadian government denied the Blue Jays permission to play home games in Toronto, which the same day reported just 43 new cases of COVID-19 infections. The Blue Jays had previously received an exemption allowing them to host their summer camp at the Rogers Centre with players and staff operating under a strict “modified quarantine” in which they were collectively isolated at the facility, which includes a hotel. Read the rest of this entry »


Jay Jaffe FanGraphs Chat -7/21/20

2:03
Avatar Jay Jaffe: Good afternoon, and welcome to my almost-Opening Day chat. As I’ll be part of a group chat later this week (Dodgers-Giants, 10 ET on Thursday night), I’m going to work a bit short here.

2:03
Avatar Jay Jaffe: First a bit of housekeeping while the queue fills…  My latest piece on the Blue Jays’ quest to find a temporary new home, is here https://blogs.fangraphs.com/the-blue-jays-are-in-search-of-a-temporary…

2:04
Avatar Jay Jaffe: A very cool thing that Dan wrote about the odds that somebody hits .400 in this short season is here https://blogs.fangraphs.com/toppling-ted-the-60-game-season-and-the-40…

2:04
Avatar Jay Jaffe: And a very cool thing that Sean and Dave did behind the scenes, showing the best 60-game stretches in a variety of categories since 1974, is here https://blogs.fangraphs.com/instagraphs/whats-the-best-that-could-happ…

2:06
Avatar Jay Jaffe: Via that last one, did you know George Brett had a 60-game stretch in 1980 when he hit .473/.522/.751 (the record for batting average in that span)? You do now. Some guy named Barry holds the records for the other two metrics.

2:06
Avatar Jay Jaffe: and now, onward…

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Toppling Ted: The 60-Game Season and the .400 Batting Average

One of the ways that the baseball of yesteryear was different from baseball today was the importance of batting average. With a pitching philosophy that envisioned lots and lots of balls being hit into play and no gauntlet of modern relief pitchers to face, far more at-bats ended with a ball being handled by a defensive player. In 2019, 63% of plate appearances ended with a ball being hit into play. In 1919, that figure was 81%. With half as many fieldable balls, it’s hardly a shock that league batting averages have declined. The effect would be even larger, too, but batting average on balls hit into play was higher in 2019 (.298) than in 1919 (.282).

Hitting .400 was never an easy feat, but it wasn’t some wild, once-in-a-lifetime occurrence when it did happen. The .400 mark has been eclipsed 34 times in major league history, give or take (the number varies depending on just what you consider a major league team in the wild world of 1870s baseball). Ted Williams hit .406 in 1941 and that was it, the last time a major leaguer hit .400 over a season. It’s more than just the lower league batting averages. Baseball’s .252 batting average in 2019 was still higher than in 17 seasons before 1941. Baseball has trended in a more competitive direction and as a league becomes more competitive, you generally expect the differences between players to shrink. That’s true for batting average, too. Just look at the simplest measure of dispersion, standard deviation:

The standard deviation has gotten smaller as time has progressed. Using this simple method, Ted Williams’s .406 in 1941 was 4.46 standard deviations better than the mean batting average of .262 (z-score). A z-score of 4.46 in 2019 only represents a .370 batting average. Nobody’s hit that mark recently, either, but .370 certainly doesn’t feel like anywhere near the same hurdle.

Since it’s the obvious next question, here are the best batting averages by Z-Score. Again, there are more robust ways to look at this, but we’re scrawling on envelope-backs, not landing astronauts on the moon:

Best Batting Averages by Z-Score
Season Name Batting Average Z-Score
1977 Rod Carew .388 4.86
1980 George Brett .390 4.75
1941 Ted Williams .406 4.46
1887 Tip O’Neill .435 4.22
1909 Ty Cobb .377 4.22
1910 Nap Lajoie .384 4.20
1985 Wade Boggs .368 4.18
1910 Ty Cobb .383 4.17
1999 Larry Walker .379 4.16
1988 Wade Boggs .366 4.16
1913 Ty Cobb .390 4.13
1939 Joe DiMaggio .381 4.12
1957 Ted Williams .388 4.12
1911 Ty Cobb .420 4.12
1924 Rogers Hornsby .424 4.11
1974 Rod Carew .364 4.06
2004 Ichiro Suzuki .372 4.05
2002 Barry Bonds .370 4.05
1904 Nap Lajoie .376 4.03
1916 Tris Speaker .386 4.03
2009 Joe Mauer .365 4.01
1987 Tony Gwynn .370 4.00
1971 Joe Torre .363 3.99
1917 Ty Cobb .383 3.98
1970 Rico Carty .366 3.96

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FanGraphs Prep: Is Context King?

This is the eighth in a series of baseball-themed lessons we’re calling FanGraphs Prep. In light of so many parents suddenly having their school-aged kids learning from home, we hope that these units offer a thoughtfully designed, baseball-themed supplement to the schoolwork your student might already be doing. The previous units can be found here.

Overview: A short unit centered on understanding the difference between context-neutral stats and context-specific stats. Both tell us very different things about what happens on the field. What’s the difference between them and how do we use them?

Learning Objectives:

  • Identify and apply a run-expectancy matrix.
  • Explain the difference between context-specific and context-neutral statistics.
  • Evaluate which type of statistic to use in a given situation.

Target Grade-Level: 9-10

Daily Activities:

Day 1

At the end of 2019, Pete Alonso led all of baseball with 53 home runs. But all those home runs weren’t created equally. Thirty-one of them came with no runners on, while the remaining 22 were hit with at least one runner on base. Should those two- and three-run home runs count for more than all those solo shots? That’s the question at the center of our lesson today: Should we take the game context into account when evaluating players? Not to spoil anything, but the answer is both yes and no. Read the rest of this entry »


FanGraphs Live! Tuesday: OOTP Brewers

Deadline deals, streaking Pirates, and more — it’s time to decide where to improve the team in this week’s look at the OOTP Brewers. Read the rest of this entry »