Sunday Notes: Jeimer Candelario is Palm Up, Gap-to-Gap, a Talented Tiger

Jeimer Candelario is establishing himself as one of the best young players on a young Detroit Tigers team. Playing in his first full big-league season, the 24-year-old third baseman is slashing a solid .251/.346/.476 with 10 home runs. His 2.0 WAR leads all Tigers.

Acquired along with Isaac Paredes in the deal that sent Alex Avila and Justin Wilson to the Cubs at last summer’s trade deadline, “Candy” is a switch-hitter with pop. His M.O. is gap-to-gap, and the orientation of his top hand is a focal point of his swing.

“I want to hit the ball with palm up,” explained Candelario. “If you’re palm up and you hit the ball, you finish up. I try to be connected. My back side, my hands, my hips, and my legs come in the same moment. That way, when I hit the ball I hit the ball with power, with palm up.”

Candelario credits Cubs assistant hitting coach Andy Haines — at the time the club’s hitting coordinator — for helping him develop his stroke. Now that he’s in Motown, he’s heeding the advice of Lloyd McClendon, who is emphasizing “How to load and then follow through, which helps me have some doubles and homers. If I just concentrate on hitting line drives, the ball will carry.”

McClendon is bullish on the young infielder’s future. Ditto his here and now. Read the rest of this entry »


The Best of FanGraphs: June 11-15, 2018

Each week, we publish in the neighborhood of 75 articles across our various blogs. With this post, we hope to highlight 10 to 15 of them. You can read more on it here. The links below are color coded — green for FanGraphs, brown for RotoGraphs, dark red for The Hardball Times and blue for Community Research.

Read the rest of this entry »


Effectively Wild Episode 1231: Chasen the Dream

EWFI
Ben Lindbergh and Jeff Sullivan follow up on Terry Collins, trick running plays, Steven Brault‘s disappointing strikeout, the Mariners, and Justin Miller, banter about Takuya Nakashima’s 200th career sacrifice bunt, the Astros’ enviable depth, the most exciting rookies of 2018 (including Juan Soto, Gleyber Torres, Walker Buehler, and Adam Cimber), and MLB’s attendance decline, and talk to Hans Van Slooten about his years building and maintaining Baseball-Reference.com as Sports Reference’s manager of baseball operations, his decision to accept a new job as a baseball systems developer with the Minnesota Twins, the pros and cons of working for an MLB team, writing words vs. writing code, the differences between public and private and big and small(er) data, how Baseball-Reference adds (or doesn’t add) information, the expanding Sports Reference empire, his favorite finds on B-Ref, Barry Bonds’s WAR, comparing current players and long-retired players, how the “opener” strategy and Shohei Ohtani affected the site, and how to have his job.

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Audio outro: Keith West, "On a Saturday"

Link to Steven Brault strikeout GIF
Link to Takuya Nakashima t-shirt photo
Link to Travis Sawchik’s attendance post
Link to Sports Reference site index
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Trout, Davis, and the Largest Seasonal WAR Differentials

As I noted earlier today, Orioles slugger Chris Davis, who through the Orioles’ first 67 games has already dug himself a -1.9 WAR hole, is on pace for the worst season ever by that measure, -4.6 WAR. At the other end of the spectrum, Mike Trout is having not just the best season of his already amazing career, but one for the pantheon. His 5.7 WAR through the Angels’ first 69 games prorates to 13.4 over a full season, which would rank third all-time, behind the 1923 and 1921 seasons of Babe Ruth (15.0 and 13.9 WAR, respectively), making Trout’s season “only” the best in the past 95 years. What a slacker.

Even if that’s the case, Trout and Davis could combine for the largest WAR differential between two position players in one season, a chasm wider than the Grand Canyon. Below are the 20 largest single-season gaps, with some player-seasons, such as Ruth’s 1920, included more than once. I’ve also included two hypothetical end-of-season figures for Trout and Davis: their WAR differential based both on current pace and also our Depth Chart projections.

Largest Single-Season WAR Differentials Since 1901
Season Player 1 Team WAR Player 2 Team WAR Dif
2018 Mike Trout PACE Angels 13.4 Chris Davis PACE Orioles -4.6 18.0
1923 Babe Ruth Yankees 15.0 Shano Collins Red Sox -2.5 17.5
1920 Babe Ruth+ Yankees 13.3 Ivy Griffin Athletics -2.8 16.1
1920 Babe Ruth+ Yankees 13.3 Chick Galloway Athletics -2.4 15.7
2002 Barry Bonds Giants 12.7 Neifi Perez+ Royals -2.9 15.6
1927 Babe Ruth Yankees 13.0 Ski Melillo Browns -2.5 15.5
1924 Babe Ruth Yankees 12.5 Milt Stock+ Robins -2.7 15.2
1924 Rogers Hornsby Cardinals 12.5 Milt Stock+ Robins -2.7 15.2
1927 Lou Gehrig Yankees 12.5 Ski Melillo+ Browns -2.5 15.0
2001 Barry Bonds Giants 12.5 Peter Bergeron Expos -2.4 14.9
1931 Babe Ruth Yankees 10.7 Jim Levey Browns -3.3 14.0
1993 Barry Bonds+ Giants 10.5 David McCarty Twins -3.1 13.6
1929 Rogers Hornsby Cubs 11.1 Tommy Thevenow Phillies -2.4 13.5
1905 Honus Wagner Pirates 10.8 Fred Raymer Beaneaters -2.4 13.2
1912 Tris Speaker Red Sox 10.6 Frank O’Rourke Braves -2.6 13.2
1928 Babe Ruth Yankees 10.6 Doc Farrell Braves -2.6 13.2
1930 Babe Ruth Yankees 10.5 Fresco Thompson Phillies -2.7 13.2
1993 Barry Bonds+ Giants 10.5 Ruben Sierra Athletics -2.6 13.1
1993 Barry Bonds+ Giants 10.5 Luis Polonia Angels -2.6 13.1
1927 Rogers Hornsby Giants 10.4 Ski Melillo+ Browns -2.5 12.9
2002 Alex Rodriguez Rangers 10.0 Neifi Perez+ Royals -2.9 12.9
2018 Mike Trout PROJ Angels 10.8 Chris Davis PROJ Orioles -1.7 12.5
+ = Player-season appears more than once.

Seven separate Ruth seasons are represented here, along with three apiece from Hornsby and Bonds. Aside from the projection of Trout, only one other post-World War II player besides Bonds is represented above on the good side of things, namely A-Rod in 2002. That’s just one small set of data points related to the fact that the spread of talent between the best and worst players is much less now than it was 75 or 100 years ago and that leagues today are stronger than the ones of decades past.

Ruth hit “only” 41 homers during his 15.0-WAR 1923 season, but via his .393/.545/.764 (231 wRC+) line, he set career highs in the first two categories even while somehow failing to win a batting title. (The Tigers’ Harry Heilmann hit .403.) His dance partner from the 1923 season was Collins, a light-hitting outfielder who batted .231/.265/.289 for a lousy 43 wRC+ that year and was six runs below average on defense. To the extent that Collins has any other claim to fame, it’s apparently that he was the only player in the White Sox’ starting lineup for Game One of the World Series who didn’t wind up either banned for life as part of the Black Sox scandal or elected to the Hall of Fame (as Eddie Collins and Ray Schalk were). Ruth’s 1931 season (.373/.495/.700, 46 HR) is paired with Levey, the Browns shortstop who actually had an even worse season (1933, -4.0 WAR) that represents the record Davis is trying to avoid.

As for Trout, to date, the largest WAR gap of his career is 13.9 WAR, from 2013, when he set a career best with 10.1 WAR and Yuniesky Betancourt turned in a -1.8 WAR clunker. Even if Davis didn’t play another game this year, Trout would only need to add another 4.5 WAR over the Angels’ 93 remaining games to surpass that previous high. While he and Davis don’t have much margin for error in surpassing Ruth and Collins, it still boggles the mind that we could be seeing such extremes in the same season.


The Fringe Five: Baseball’s Most Compelling Fringe Prospects

Fringe Five Scoreboards: 2017 | 2016 | 2015 | 2014 | 2013.

The Fringe Five is a weekly regular-season exercise, introduced a few years ago by the present author, wherein that same author utilizes regressed stats, scouting reports, and also his own fallible intuition to identify and/or continue monitoring the most compelling fringe prospects in all of baseball.

Central to the exercise, of course, is a definition of the word fringe, a term which possesses different connotations for different sorts of readers. For the purposes of the column this year, a fringe prospect (and therefore one eligible for inclusion among the Five) is any rookie-eligible player at High-A or above who (a) was omitted from the preseason prospect lists produced by Baseball Prospectus, MLB.com, John Sickels, and (most importantly) FanGraphs’ Eric Longenhagen and Kiley McDaniel* and also who (b) is currently absent from a major-league roster. Players appearing Longenhagen and McDaniel’s most recent update have also been excluded from consideration.

*Note: I’ve excluded Baseball America’s list this year not due to any complaints with their coverage, but simply because said list is now behind a paywall.

For those interested in learning how Fringe Five players have fared at the major-league level, this somewhat recent post offers that kind of information. The short answer: better than a reasonable person would have have expected. In the final analysis, though, the basic idea here is to recognize those prospects who are perhaps receiving less notoriety than their talents or performance might otherwise warrant.

*****

Josh James, RHP, Houston (Profile)
Every time James produces a strong start — an event that has occurred with considerable frequency this season — FanGraphs contributor and traveler within the world of ideas Travis Sawchik sends a note to the present author that reads, “His name is JOSH JAMES.” While I can’t argue with the literal sense of Sawchik’s message — namely, that this right-hander’s given name literally is Josh James — I suspect that my colleague is attempting to communicate something more profound than a single datum from James’s biography. Have I pursued the topic? No. Not because I’m afraid to, either — but rather because I am infested by indifference.

James made one start this week, recording an 11:2 strikeout-to-walk ratio against 23 batters while facing Houston’s affiliate in Fresno (box).

Read the rest of this entry »


Replay Is Fine, Everyone

We spend a lot of time fretting about baseball. Baseball games take too long; teams use too many pitchers and make too many visits to the mound. There are too many strikeouts; there aren’t enough balls put in play. These complaints are dressed up in anxiety over the game’s future, but I think the real worry is closer to home. It’s about us. I think what’s really at the center of it is a gnawing concern that these slowdowns will make us want to watch something else entirely, that we might come to find baseball boring.

But there are worse things than being bored. Wednesday night, in the fourth inning of the Dodgers-Rangers game, Adrian Beltre scored on a close play. It appeared that Austin Barnes had tagged him out, but home-plate umpire Sean Barber disagreed. A man in the crowd was inspired to make a face.

Dave Roberts challenged and it went to a replay, which began at 2:02:25. The home broadcast showed some slo-mo.

https://gfycat.com/GloriousDearestClam

The broadcast was confident the replay would go the Dodgers’ way. Enrique Hernandez, whose throw looked like it had nabbed Beltre, seemed confident. Beltre looks pretty out.

But at 2:05:00, the call on the field was upheld. The crowd booed. They’d spent more than two-and-a-half minutes waiting around — only to lose out. It didn’t end up mattering: the Dodgers won in the 11th inning after Hernandez evaded a tag of his own. But for those few minutes in the fourth, Dodger fans were something worse than bored. They were bored and angry. It’s a terrible combination of things to feel, and one that replay seems to inspire often, which is understandable, though I’ll admit it makes me worry about how passionate we are for justice. And so, in all our fretting about the game, I thought I’d check in on replay and see how it is going so far this season.

Baseball Savant maintains a handy replay database, but it doesn’t include 2018 replays yet, so it’s Retrosheet to the rescue. Retrosheet’s data also includes the duration of each replay — an indispensable data point for those concerned with the dull and enraging. They update their data every two weeks; the replays I’m analyzing are through May 31.

Two quick notes. First, the time listed for each replay is from the beginning of the review until New York’s decision is announced. That might seem like an obvious point, but it may, in some cases, undersell the length of the delay on the field. Last year, I wrote about an 18-minute long replay at Dodger Stadium. It was a rules check and the longest replay of 2017. Retrosheet has it taking 8:34. So there’s a bit of squishiness here.

Second, in case you’ve forgotten (and honestly, why would you remember?), before the 2017 season, MLB released new guidance that, with a few exceptions, the Replay Operations Center in New York has two minutes to render a decision on a play. That’s what they’re driving toward. It’s part of keeping us from feeling bored and angry.

Now, some observations.

You might ask, “When is replay most likely to occur?” Maybe you’re naturally curious about things. As you might imagine, challenges become more common the later into a game a team gets.

2018 Manager Replays by Inning
Inning Confirmed Overturned Stands % of Total Success Rate
1 0 19 8 6.19% 70.37%
2 2 22 7 7.11% 70.97%
3 5 23 12 9.17% 57.50%
4 5 21 18 10.09% 47.73%
5 7 29 16 11.93% 55.77%
6 6 30 18 12.39% 55.56%
7 10 22 15 10.78% 46.81%
8 21 20 27 15.60% 29.41%
9 13 25 14 11.93% 48.08%
10 4 3 4 2.52% 27.27%
11 3 2 0 1.15% 40.00%
12 1 3 0 0.92% 75.00%
15 0 0 1 0.23% 0.00%

Through May 31, managers initiated 436 challenges, a full half of which have came between the sixth and ninth innings; indeed, since replay expanded in 2014, close to 49% of the replays in nine inning games have come between the sixth and ninth innings. The eighth inning saw the greatest number of challenges, but also the lowest success rate, among non-extra innings frames. That makes a certain amount of intuitive sense. Late in games, I would imagine, managers are more inclined to challenge borderline calls, both because the stakes are higher and because why the heck not? You can’t take those challenges with you. More borderline calls also means more calls on the field that stand or are confirmed, but why not try? Maybe that runner in scoring position is actually out on the tag!

And speaking of tags, you might also wonder, “What is getting reviewed, and for how long?” The below table shows all 2018 replays by type, along with the average and median duration of the replay in minutes, and the success rate for challenges of each type.

2018 Replays by Type
Type of Replay Number of Replays Total Minutes Average Minutes Median Minutes Success Rate
Tag Play 197 288 1.46 1.32 47.21%
Force Play 174 213 1.22 1.15 57.47%
Home Run 35 49 1.41 1.37 25.71%
Hit by Pitch 35 42 1.19 1.00 40.00%
Catch/No Catch 15 23 1.51 1.47 46.67%
Fair/Foul (outfield) 7 14 1.99 1.35 42.86%
Rules Check 5 9 1.76 1.98 0.00%
Stadium Boundary 4 9 2.16 2.25 50.00%
Slide Rule 4 5 1.17 1.20 0.00%
Runner Placement 3 6 1.92 1.68 66.67%
HP Collision 3 4 1.41 1.35 0.00%
Fan Interference 2 4 1.84 1.84 50.00%
Passing Runners 2 4 1.82 1.82 50.00%
Record Keeping 1 1 1.35 1.35 0.00%
Touching a Base 1 1 1.10 1.10 0.00%
Timing Play 1 1 0.80 0.80 0.00%
Tag-up 1 1 0.68 0.68 0.00%
SOURCE: Retrosheet
Rules check and record keeping replays are not given a ruling of stands, confirmed, or overturned.

Fans have, for the most part, stayed out of the way. Despite recent dustups, the slide rule that caused so much controversy in years past hasn’t been much of an issue, or at least has merited little investigation. Umpires mostly know what a catch is. Force plays seem a bit trickier, though they didn’t take long on average to sort out. Stadium boundary replays took the longest, both by average and median length in minutes, though there weren’t many of them. With the exception of the boundary plays, replay officials are, on average, adhering to their two-minute guidance. Of the 490 total calls, 377 have been two minutes or under in length.

But I think the most common category of replay underscores the enterprise’s greatest challenge (no pun intended). Now, I haven’t watched all 197 tag replays, but I would hazard a guess that some portion of them — perhaps a significant portion — involve runners coming off a base ever so slightly for just a teeny tiny touch of time. We’ve seen this sort of replay play out, sometimes in big moments of important games, resulting in a guy who would have been safe for the 100 years prior suddenly being out. We can’t exactly blame managers for asking that tags be reviewed; we’ve told them there might be an out hiding in there. And some portion of these allow us to examine swim moves and close plays, and that isn’t a terrible use of time. But we’ve spent some part of 288 minutes peaking under guys’ fingers and toes. Avengers: Infinity Wars, for sake of comparison, was only 160 minutes and involved a bunch more people. I submit that this is when we are at our most bored, and certainly our most angry.

And of course, fans of some teams should be angrier and perhaps more bored than others.

Replay Results by Team (Team Initiated Review)
Challenging Team Total Challenges Confirmed Stands Overturned Success Rate
Braves 23 4 11 8 34.78%
Diamondbacks 19 1 6 12 63.16%
Twins 19 6 4 9 47.37%
Yankees 19 3 3 13 68.42%
Mariners 19 7 5 7 36.84%
Angels 18 3 6 9 50.00%
Cardinals 18 1 9 8 44.44%
Blue Jays 18 3 8 7 38.89%
Phillies 17 1 4 12 70.59%
Pirates 17 2 8 7 41.18%
Red Sox 15 4 4 7 46.67%
Tigers 15 2 3 10 66.67%
Royals 15 0 2 13 86.67%
Giants 15 2 3 10 66.67%
Rays 15 3 5 7 46.67%
Nationals 15 5 2 8 53.33%
Cubs 14 2 4 8 57.14%
Indians 14 1 6 7 50.00%
Marlins 14 2 5 7 50.00%
Rangers 14 2 6 6 42.86%
Rockies 13 2 3 8 61.54%
Athletics 13 4 3 6 46.15%
Dodgers 12 4 3 5 41.67%
Mets 12 4 3 5 41.67%
White Sox 11 0 5 6 54.55%
Padres 11 4 5 2 18.18%
Brewers 9 2 4 3 33.33%
Astros 8 1 3 4 50.00%
Orioles 7 1 4 2 28.57%
Reds 7 1 3 3 42.86%
Grand Total 436 77 140 219 50.23%
SOURCE: Retrosheet

None of these samples are large enough to tell anything definitive, but as an indication of efficacy so far, we can learn a few things. The Royals, Phillies, and Yankees have fared the best in their challenges. The Braves have challenged more times than any other team, but have a middling success rate. They are still doing better than the Padres, who (in admittedly fewer attempts) have a league-worst success rate. The Orioles fare only marginally better.

Baltimore did initiate the longest challenge of the year, a review of a fair/foul call that lasted 4:32 they ultimately won.

Everyone looked thrilled as they waited.

Just a great day at the office.

We can also see something interesting when we look at the distributions of how long reviews take, grouped by their result.

The graph isolating 2018 is a bit rougher, but retains the same general shape.

From 2014 to -18, a “stands” call took about 40 seconds longer than “confirmed” or “overruled” calls did, which I think shows that replay is generally working how you would want it to when you consider that the standard for overturning calls made on the field is having “clear and convincing evidence” that the call was incorrect. One would hope that if a call were obviously right or obviously wrong, it wouldn’t take very long to reach that conclusion. Absent some bit of striking evidence, best to leave it be.

I think it is worth adding a small bit of perspective to this analysis. We’ve all had the experience of seeing a replay go the “wrong” way. We’ve all felt like our boys have gotten jobbed. We’ve been Wednesday night’s Dodgers’ fans. We begin to question the whole endeavor.

But we might benefit from recalling how frustrating it was, in the era of slo-mo and hi-def, to know that a call on the field was wrong, to be able to see it right there, and then have to watch as a baserunner trudged back to the dugout when he should have been on base, or as a pitcher was left to contend with a runner who should have been erased by a tag. It felt unfair. It felt silly. It felt like an injustice. We’re sometimes bored and angry now, but we were also bored and angry then! And it isn’t costing us that much. The season isn’t done, but so far, 2018 is following a trend of replay times decreasing as the years go on.

These aren’t huge numbers to begin with; I doubt even a close observers could perceive the difference between 2015’s average replay time of 1.85 minutes and 2017’s 1.46. But it isn’t ballooning out the other way, either. Through May 31, MLB was on pace for 1,285 replays, which would be the lowest number since replay was expanded in 2014. That could change, of course, but it hasn’t been so bad so far. It’s an attempt to get things more right more often.

I calculated how much time each team had spent under replay review, including both those reviews they had initiated and those initiated by their opponents or by umpires, and compared that time to their total game minutes in 2018. I’ll spare you another long table, but the team that has spent the most time in replay as a percentage of their total playing time is the Blue Jays at… 0.57%. That’s a little more than 58 minutes across all their games, and theirs is the worst of it.

That isn’t so bad. Replay gets things wrong from time to time; we all have bad days at work, after all, and humans remain fallible, even with slo-mo. But I’m not sure the game is well served by putting too strict a clock on justice. Not even when we’re bored and angry.


Jeff Sullivan FanGraphs Chat — 6/15/18

9:06

Jeff Sullivan: Hello friends

9:06

Jeff Sullivan: Welcome to Friday baseball chat

9:06

James: The Astros seem to have their offensive mojo back. How scared should the league be?

9:07

Jeff Sullivan: I was just looking at something yesterday

9:07

Jeff Sullivan: I calculated every team’s total negative WAR

9:07

Jeff Sullivan: The Astros are at -0.1 — just Jake Marisnick

Read the rest of this entry »


Chris Davis Might Be Having the Worst Season Ever

The Orioles’ season as a whole has been a bleak one. They’ve got the majors’ lowest-scoring offense at 3.49 runs per game, and the third-worst run prevention at 5.22 runs per game — yes, they’re being outscored by nearly two runs every time they take the field. Halfway through June, they’re already 27 games out of first place, and on a 46-116 pace.

If you think that’s bad, pour yourself a stiff drink and then barrel headlong into the heart of darkness by considering the performance of Chris Davis.

In the annals of baguiseball history, you can find bad seasons by garden-variety players who weren’t making much money. You can find terrible seasons by highly paid players who quite reasonably could have been expected to perform better; Albert Pujols finishing with -1.9 WAR last year at a price of $26 million is just the most recent example. And then there is whatever is going on with Davis. The 32-year-old Orioles slugger, who’s in the third year of a seven-year, $161 million deal, is threatening to produce the least valuable season of all time in terms of WAR. Through the Orioles’ 67 games (of which he’s played just 57), he’s at -1.9 WAR, which projects to somewhere between -4.6 and -4.7 over a 162-game season. (Depending on the rounding: his WAR actually rose overnight while the Orioles were inactive.)

As Dan Szymborski put it the other day:

Here is the leaderboard of the damned:

Lowest Single-Season Position Player WAR Since 1901
# Name Team Season PA wRC+ Bat BsR Fld Pos RAR WAR
1 Jim Levey Browns 1933 567 23 -58.3 -1.7 -8.0 8.5 -39.4 -4.0
2 Jerry Royster Braves 1977 491 45 -33.0 1.9 -26.0 4.1 -37.2 -3.8
3 Tommy Thevenow Phillies 1930 624 48 -51.1 0.2 -20.0 9.6 -38.8 -3.6
4 Jim Levey Browns 1931 540 40 -43.9 -1.0 -17.0 8.6 -33.4 -3.3
5 George Wright Rangers 1985 395 28 -34.1 -2.1 -5.0 -2.7 -31.1 -3.2
6T Cristian Guzman Twins 1999 456 34 -39.9 -1.4 -14.0 6.6 -32.5 -3.1
6T David McCarty Twins 1993 371 43 -25.8 -2.0 -10.0 -4.7 -30.8 -3.1
6T Jose Guillen Pirates 1997 526 82 -12.2 -0.6 -29.0 -5.7 -30.7 -3.1
9T Adam Dunn White Sox 2011 496 60 -22.9 -5.4 -4.2 -11.3 -27.8 -2.9
9T Neifi Perez Royals 2002 585 39 -44.2 0.7 -11.7 6.3 -29.1 -2.9
11T Coco Laboy Expos 1970 476 45 -32.8 -0.7 -13.0 2.8 -27.6 -2.8
11T Ivy Griffin Athletics 1920 508 46 -36.1 0.8 -3.0 -5.4 -26.9 -2.8
13T Hunter Hill – – – 1904 554 52 -28.2 -0.1 -19.0 3.6 -26.4 -2.7
13T Pat Rockett Braves 1978 157 -11 -19.5 -0.6 -14.0 2.6 -26.4 -2.7
13T Milt Stock Robins 1924 607 52 -36.2 -1.5 -14.0 4.4 -27.3 -2.7
13T Mike Caruso White Sox 1999 564 46 -41.0 -4.0 -10.0 6.7 -28.2 -2.7
13T Dan Meyer Mariners 1978 478 59 -22.1 0.3 -12.0 -7.1 -25.8 -2.7
13T Fresco Thompson Phillies 1930 529 66 -28.4 1.4 -23.0 3.5 -27.4 -2.7
19T Ruben Sierra Athletics 1993 692 79 -17.7 3.0 -25.0 -8.6 -26.4 -2.6
19T Del Young Phillies 1937 386 8 -43.7 1.0 -1.0 3.3 -27.5 -2.6
19T Frank O’Rourke Braves 1912 216 -11 -31.5 -0.7 -5.0 3.7 -26.1 -2.6
19T Willie McGee Cardinals 1999 290 43 -22.2 -0.4 -12.0 -1.7 -26.8 -2.6
19T Doc Farrell Braves 1928 533 42 -40.2 0.4 -11.0 8.2 -25.9 -2.6
19T Luis Polonia Angels 1993 637 76 -18.5 1.1 -22.0 -6.5 -25.7 -2.6
19T Billy Urbanski Braves 1935 566 62 -27.7 0.4 -26.0 8.0 -25.6 -2.6

That list includes some familiar names of relatively recent vintage, glove men (by reputation, if not metrics) with woefully inadequate bats such as Perez and Guzman, a big lug who could no longer even fake defensive responsibilities (Dunn), a former MVP on his last legs (McGee), a future legend in the scouting and player-development realm (Thompson), some commons from my first couple sets of Topps baseball cards (Royster, Rockett, Meyer, and just outside the frame at -2.5 WAR, 1977-model Doug Flynn), a guy who played like he was the 148-year-old former shortstop of the pioneering Boston Red Stockings (Wright), the shortstop on the team with the most runs allowed in a single season since 1901 (Thevenow, whose Phillies yielded 7.79 runs per game; the aforementioned Thompson was his double-play partner), and a woefully overmatched shortstop for some particularly crummy Browns teams who also played in the NFL (Levey). Davis could top — or out-bottom — them all.

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Two Million Baseball Fans Are Missing

Rob Manfred, MLB owners, players: we have a problem. Some of your ticket buyers are missing. In fact, nearly two million of them.

As we approach the official beginning of summer and the midpoint of the baseball season, attendance is down by about 2,000 per game, or 6.7%, relative to a year ago.

MLB attendance has generally and gradually been declining since its peak of 79.48 million fans in 2007. That was 32,696 per contest. The average per-game figure fell below 30,000 last year for the first time since 2003.

Of course, this year’s numbers were deflated early in the season, when April brought brutally cold weather to much of the country. Through the first two-plus weeks of the campaign, baseball was drawing about 2,700 fewer fans per game — or about 8.9% compared to the previous April, as noted by Jeff Passan.

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A Bigger Strike Zone Is a Bad Idea

There are a lot of strikeouts in today’s game. The most ever, in fact. If the season were to end today, the league’s 22.4% strikeout rate would represent an all-time high, eclipsing the record set in 2017. That record from 2017 surpassed the one set in 2016, which itself surpassed the one set in 2015, which surpassed the one set in 2014. Ever since 2008, actually, baseball has produced a new strikeout record, and there doesn’t seem to be an obvious end in sight.

With all those strikeouts come a lot of opinions on how to reduce strikeouts. The latest set of proposals come from Tom Veducci at Sports Illustrated. Verducci correctly places blame/credit for the strikeouts with the pitchers, where it belongs, and he suggests a few solutions: lowering the mound, limiting the number of pitchers on an active roster, and introducing a pitch clock.

I find it curious that Verducci omits any mention of the strike zone itself. I have previously proposed raising the bottom of the strike zone to put more balls in play, but there are others — including at least one MLB manager — who believe that a larger strike zone might increase the number of balls in play.

The possibility of this effect is one I’ve heard mentioned on broadcasts before, so it isn’t without precedent. The theory goes like this: an expanded strike zone will force batters to exercise less patience and, as a result, swing at more pitches. More swings, and perhaps more emphasis on contact, means more balls in play.

Fortuitously, this is a theory we can test, because the strike zone actually hasn’t remained static in recent years. In fact, thanks to great research by Jon Roegele, we know exactly where the strike zone has gotten bigger. The very bottom of the strike zone has increased considerably over the last decade, and although it got slightly smaller the last couple seasons, the trend has reversed itself this year. Even if there wasn’t an increase this year, the strike zone would still be substantially larger at the bottom of the zone than it was a decade ago.

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