FanGraphs Baseball

Thanks to the wealth of new Statcast data that’s entered the public sphere over the last two seasons — including information on batted-ball exit velocity, direction, and location, as well as this year’s rollout of previously unavailable launch-angle data — the metrics we currently use to evaluate hitters are not the same metrics we’ll be using to evaluate hitters, say, 10 years from now. We’ll need several years of complete Statcast data, at least, before people much smarter than myself can start devising these metrics with any sort of confidence, but that won’t stop us from playing make believe until we have them.

The more I thought about the idea behind this post, which was originally intended to be trivial in nature — just looking at some of the season’s more unique singles — the more I realized there was to it. That’s not to say this is any sort of groundbreaking work — there are no major findings in what’s to follow, and in fact there aren’t any findings at all. But a simple base hit recently reminded me of how close we are to the next leap of better understanding the game. In the time it takes to get through this post, we’re just going to watch some clips, and think about those clips and what they may mean, and dream on the future. Nothing wrong with any of that.

I was watching a baseball game the other night and a player hit a baseball with a bat. That’s gonna happen. The player was Yan Gomes, and he hit the baseball like this:

Now, that type of hit is called a single. It’s been called a single for more than 100 years, and it’s still called a single now. It’s a single according to batting average, it’s a single according to total bases, it’s a single according to OPS, it’s a single according to wOBA and wRC+, it’s a single according to WAR. A single. No more, no less.

Y’know what else is a single? This is a single:

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Introduction and #31-32
#30 – #21
#20 – #11

Roughly four years ago now, the present author facilitated a crowdsourcing project designed to place a “grade” on each of the league’s television and radio broadcast teams. The results weren’t intended to represent the objective quality or skill of the relevant announcers, but rather to provide a clue as to which broadcast teams are likely to appeal most (or least) to the readers of this site.

The results of that original exercise have been useful as a complement to the dumb NERD scores published by the author in these pages. Four years later, however, they’ve become much less useful. In the meantime, a number of the broadcast teams cited in that original effort have changed personnel. It’s possible that the tastes of this site’s readers have changed, also.

About a month ago, the present author began the process of reproducing that original crowdsourcing effort, facilitating a ballots for this site’s readers. This post represents the final installment of the corresponding results for the television side of things.

Below are the 10th- through 1st-ranked television broadcast teams, per the FanGraphs readership.

But first, three notes:

• Teams are ranked in ascending order of Overall rating. Overall ratings are not merely averages of Charisma and Analysis.
• The author has attempted to choose reader comments that are either (a) illustrative of the team’s place in the rankings or (b) conspicuously amusing.
• A complete table of ratings cast will appear in these pages Friday.

10. San Diego Padres
Main Broadcasters: Dick Enberg/Don Orsillo and Mark Grant
Ratings (Charisma/Analysis/Overall): 3.8, 3.1, 3.5

Three Reader Comments
• “Enberg is the best broadcaster no one talks about.”
• “Mark Grant… is funny and brings the knowledge and humor of a journeyman player.”
• “I want everyone to understand just how good Don Orsillo is at calling a game. Very. Very good, is the amount of good he is.”

Notes
A number of respondents cite similarities between Enberg in San Diego and Vin Scully up the coast in Los Angeles — not necessarily for the length of their tenure or prominence in the game (by which criteria Scully is unparalleled) but for their affability and comfort with the leisurely pace at which a baseball game is played. Grant, for his part, has the bearing of a “typical ex-player,” but does seem to offer a measure of playfulness and good humor to which readers respond well. As for Orsillo, he was largely adored by Boston fans.

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Devised originally in response to a challenge issued by sabermetric nobleman Rob Neyer, and expanded at the request of nobody, NERD scores represent an attempt to summarize in one number (and on a scale of 0-10) the likely aesthetic appeal or watchability, for the learned fan, of a player or team or game. Read more about the components of and formulae for NERD scores here.

Most Highly Rated Game
Washington at New York NL | 19:10 ET
Strasburg (55.0 IP, 73 xFIP-) vs. Harvey (45.2 IP, 95 xFIP-)
What one finds here is a game with considerable promise. Two elite pitcher with easy plus velocity. Two strong clubs, each of which currently possess greater than a 45% chance of winning the division. “Garden-variety excellence,” one might be inclined to call it. Unless, that is, the garden has been started by the author. In which case, the garden is much less impressive. Because the tomato seedlings haven’t even sprouted their true leaves yet. Even though it’s been, like, three weeks. Because he used these peat pots from Agway instead of a plastic starter tray. Even though the gardening book was pretty explicit about don’t use peat pots.

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The Phillies won again on Wednesday. So this is already off to a silly start, but anyhow, here’s more or less how they did it.

When you allow two runs, you don’t have to do much at the plate to win, and though the Phillies never do much at the plate, they did enough against Tom Koehler to make a winner out of Jeremy Hellickson. Hellickson gave way to David Hernandez, who turned in a scoreless inning. Hernandez gave way to Hector Neris, who turned in a scoreless inning. And Neris gave way to Jeanmar Gomez, who turned in the final scoreless inning necessary. Sometimes good teams are said to have bullpen formulas. This is the Phillies’ formula, and it’s helped propel them into a wild-card spot. The Phillies are in a wild-card spot. You know who’s in a wild-card spot? The Phillies.

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Ben and Sam talk to Tadeo Varela, sabermetric analyst for the Toros de Tijuana of the Mexican League, about the team’s pursuit of a statistical advantage.

You know who’s figuring it out? Christian Yelich! Not that Yelich ever didn’t have it figured out — his big-league career began with three consecutive 117 wRC+ seasons. He was as steady as anyone you could find, but he kept on occasionally hinting at more, and now he’s showing more more often. He’s 24, and he’s being coached by Barry Bonds. People everywhere kind of saw this coming. Yet it was never going to be automatic. Yelich has put in the work to get to where he is.

This is where he is:

Yelich hasn’t been constantly hitting home runs or anything. You would’ve heard about that. He has five, which isn’t that many, but then his career high is nine. His slugging is way up, and his walks are way up, and his strikeouts are down. Christian Yelich seems to be moving into a higher tier, and he’s among the reasons why the Marlins are hanging around the early playoff race.

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Over at ESPN, Jayson Stark talked to Rob Manfred about the fact that, a year after chopping six minutes off the length of the average Major League game, those gains have been almost entirely lost in the first six weeks of 2016. Included in that piece was this chart, which shows the trend over the last 11 years.

Average Time Of Game

SEASON	TIME OF GAME
2006	2:48:11
2007	2:51:13
2008	2:50:38
2009	2:51:47
2010	2:50:46
2011	2:51:57
2012	2:55:58
2013	2:58:51
2014	3:02:21
2015	2:56:14
2016	3:00:26

SOURCE: ESPN.com

The four minute and 12 second gain from last year to this year is actually larger than any of the per-season gains made during the 2011-2014 stretch when MLB games lengthened quickly; that kind of rise in game length is clearly frustrating to Manfred, especially after the gains they made last year. As the commissioner notes to Stark in the piece, MLB believes there are a variety of factors contributing to the longer games, with players not taking the pace-of-play initiatives as seriously this year, cold weather, and simply the structural change in results all contributing. Stark points out that walks and strikeouts are both up again, so overall pitches are up, and more pitches equals more time. But let’s try to go beyond that and look and see if we can quantify the differences in game length this year.

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The early part of the Major League Baseball season presents an interesting paradox when it comes to interest and attendance. Fans have waited all winter for real live baseball, and Opening Day comes with big crowds and pageantry. After Opening Day, crowds tend to thin out a bit as people come to terms with the long season, and in many places, weather that is still less than hospitable to baseball. Comparing attendance this season to attendance at this time last season shows a still-healthy game with a few teams having made major jumps after successful seasons a year ago.

When looking at per-game attendance so far this season, it should come as no surprise that the usual names remain atop the board, per Baseball Reference.

The Los Angeles Dodgers, St. Louis Cardinals, San Francisco Giants, and New York Yankees were the top four in attendance last season — in that order — and those same four teams continue their grip on the attendance lead this year. The Chicago Cubs have swapped spots with the Los Angeles Angels while the Toronto Blue Jays have taken an edge over the Boston Red Sox. The bottom five teams are the same as the end-of-the-season numbers last year, although in a different order, as Tampa Bay Rays finished the end of the season last while Oakland A’s were ahead of the Chicago White Sox and the Miami Marlins.

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Cuban righty Yadier Alvarez was the $16 million crown jewel of the Dodgers’ 2015/2016 international free-agent class. It was the second-highest bonus ever given to an international amateur and reports on Alvarez prior to last July were so good that I ranked him #1 on my J2 board at the time. Alvarez ventured stateside this spring and has consistently pitched every fifth day, only missing one start to attend the birth of his child. Reports coming out of Camelback Ranch have been superlative. On Monday, I got to see it for myself along with a number of other interesting prospects.

Yadier Alvarez, RHP, Los Angeles Dodgers

Current Level: Extended Spring Training, Age: 20.2, Height/Weight: 6’3/180
Signed: IFA at age 19 on July 2, 2015 out of Cuba by LA for $16.0 million bonus

Alvarez was electric. After opening his start with a few fringe fastballs, he began to loosen up and was sitting 92-97 before long. He has been up to 100 this spring, which is especially notable given that there were rumors over the offseason that his velocity had been down. Mixed in along with the fastball was an 82-86 mph slider with late, two-plane bite. It flashed plus, but the line between that pitch and his 76-82 mph curveball was sometimes blurry. The curveball is a bit more vertically oriented than the slider and Alvarez decelerates his arm a bit to throw it, but it flashed average and it should solidify there once he becomes more comfortable with its release.

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One problem you’ll hear with last year’s underachieving Chicago White Sox roster is that it was too heavy on the stars-and-scrubs model. Plenty of production came from guys like Chris Sale, Jose Quintana, and Jose Abreu. Very little production came from the rest of the infield, the back end of the rotation, and both corner-outfield spots.

But this year’s White Sox have improved — they’re currently tied for the best record in the American League. They improved during the offseason by adding guys like Todd Frazier, Brett Lawrie and Mat Latos to ensure that they’d have fewer black holes on the roster. Melky Cabrera and Avisail Garcia are each having bounceback seasons thus far, erasing two more holes from last year. Overall, there’s a more even talent of distribution around Chicago’s stars, and it’s a big part of this year’s success. Less scrubs is good. But so is more stars! And alongside the big guns, they’ve added another player who doesn’t yet have this type of reputation, but is making the case to be tossed into the “star” category. I’m talking about Adam Eaton, who, going back a whole year now, has quietly been one of baseball’s very best players.

We talk a lot about sample sizes, particularly this early in the season. What can we take away from small samples? When is a sample large enough to draw meaningful conclusions? Certainly not yet this year, but we’ve got a nice little feature here on the leaderboards in the “Past Calendar Year” split that helps with that. People are comfortable using full-season stats to evaluate players, and the Past Calendar Year split is just like an improved version of a full season’s stats, where the arbitrary endpoints are less arbitrary. It’s just “what have you done for me lately?” where “lately” is a full year, and everyone is on a similar playing-time scale.

I’ll often use this feature throughout the season to sort of help mentally readjust my perception of who the best players in baseball are “right now,” for whatever that’s worth. I went for a mental readjustment the other day, and something at the top of the leaderboard immediately caught my eye:

Position-player WAR, last calendar year

1. Mike Trout, 9.5
2. Bryce Harper, 8.5
3. Josh Donaldson, 8.2
4. Manny Machado, 8.1
5. Yoenis Cespedes, 7.1
6. Kris Bryant, 6.7
7. Chris Davis, 6.4
8. Adam Eaton, 6.3
9. Paul Goldschmidt, 6.2
10. Joey Votto, 6.2

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