Archive for September, 2016

Dan Szymborski FanGraphs Chat – 9/19/16

12:15
Dan Szymborski: Sorry for the late start! My login was giving me issues.

12:15
Jeremy: What do you think of Noah Syndergaard’s chances for NL Cy Young?

12:15
Dan Szymborski: Probably not happening.

12:16
mtsw: One of the fastest-growing TV genres is “Slow TV.” Examples include a 7 hour video showing the view out the window of a train ride in Norway. Should baseball embrace the slower-paced, leisurely aspect of the game rather than chasing “The MTV generation demands constant stimulation” theory?

12:16
Dan Szymborski: Eh, I think fast tv still is more popular than slow tv!

12:16
Dan Szymborski: Not that I want MLB to do any crazy dumbass stuff

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Addison Reed Has Become Andrew Miller-Lite

Over the last calendar year, Andrew Miller has a 1.81 ERA and a 2.22 FIP. Those dominant numbers, combined with the compelling nature of Miller’s complete transformation, have rightfully earned him the reputation as perhaps baseball’s best active relief pitcher.

Over the last calendar year, Addison Reed has a 1.87 ERA and a 2.14 FIP. You might not have heard about it, but dating back 365 days, Reed’s been every bit as dominant as the guy who’s rightfully earned the reputation as perhaps baseball’s best active relief pitcher. And you might not have realized it, but Reed’s undergone a similarly compelling transformation that’s left him looking more and more like Miller than one might expect.

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NERD Game Scores for September 19, 2016

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.

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Most Highly Rated Game
Boston at Baltimore | 19:05 ET
Porcello (201.2 IP, 91 xFIP-) vs. Bundy (99.2 IP, 108 xFIP-)
The AL East has been — and will remain for most of today, at least — the most tightly contested division in the majors. Here one finds two of the three principal characters in that race, Boston and Baltimore. In conclusion, this has been a brief, nearly unnecessary paragraph.

Readers’ Preferred Broadcast: Baltimore Television.

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A Long-Needed Update on Reliability

It’s been over a year now since Sean Dolinar and I published our article(s) on reliability and uncertainty in baseball stats. When we wrote that, we had the intention of running reliability numbers for even more statistics, including pitching statistics, of which we had included none.

That didn’t happen. So a little while ago, when I was practicing honing my Python skills by rewriting our code in, well, Python (it was originally in R), I figured, “Hey, why not go back and do this for a bunch more stats?” That did happen. Sean was/is swamped making the site infinitely better, though, so I was on my own rewriting the code.

In case you need a refresher, never read our original article, and/or don’t want to now, here’s a quick description of reliability and uncertainty: reliability is a coefficient between 0 and 1 that gives a sense of the consistency of a statistic. A higher reliability means that there’s less uncertainty in the measurement. Reliability will go up with a larger sample size, so the reliability for strikeout rate after 100 plate appearances is going to be much lower than the reliability for strikeout rate at 600. Reliability also changes depending on which stat is being measured. Since strikeout rate is obviously a more talent-based stat than hit-by-pitch rate (well, maybe not for everybody), the reliability is going to be higher for strikeouts given two identical samples. You can think of it like strikeouts “stabilize” quicker than hit-by-pitches.

Reliability can be used to regress a player’s stats to the mean and then to create error bars around that, giving a confidence interval of the player’s true talent. To continue with the strikeout example, I’ll add another point — namely that, the more plate appearances a player has recorded, the closer the estimate of his true talent will be to the strikeout rate he’s running at the time. In fact, strikeout rate is so reliable that, after a full season’s worth of plate appearances, a player’s strikeout rate will probably be almost exactly reflective of his true talent. The same cannot be said for many other stats, like line drive rate, which is mostly random; the reliability for LD% never gets very high, even after a full season’s worth of batted balls.

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NERD Game Scores for September 18, 2016

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
St. Louis at San Francisco | 16:05 ET
Reyes (28.0 IP, 95 xFIP-) vs. Suarez (75.0 IP, 109 xFIP-)
St. Louis’s wild-card odds have declined by nearly 20 points since Thursday, an interval which accounts for the first three games of their series against San Francisco in the latter’s ballpark. The results could have been worse: had they not won last night, the loss in wild-card probability would likely have amounted to roughly 30 points.

Regard:

Wild-Card Odds, Cardinals and Giants
Event STL WC% Change SFG WC% Change
Before Series 52.1% 67.3%
After Game 1 43.3% -8.8 72.4% +5.1
After Game 2 28.1% -15.2 79.6% +7.2
After Game 3 34.3% +6.2 74.7% -4.9
Total -17.8 +7.4

The endeavor has become more difficult in the meantime, as well, with the recent success of the Mets — rendering a win today even more consequential.

Readers’ Preferred Broadcast: San Francisco Radio or Television.

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Sunday Notes: Refsnyder’s Plan, Dozier’s Bananas, Santana, Hardy, Wainwright, more

Rob Refsnyder has gone deep just 37 times since the Yankees drafted him out of the University of Arizona in 2012. He’s homered twice this year in 397 plate appearances between Triple-A and the big leagues. Power hasn’t been a forte.

He wants that to change.

“I’m going to try to hit home runs next year,” Refsnyder told me on Friday. “I’ve had a lot of good conversations with people and I’m going to try to completely change my game. I think it will help my career.”

The change may be necessary. Refsnyder has good bat-to-ball skills, but he’s neither a speed-burner nor a plus defender. He came up through the Yankees system as a second baseman, but with Starlin Castro manning that position, he’s been seeing action at first base and in right field. Without added pop, he’s unlikely to be an everyday player going forward.

He has role models for his goal. Read the rest of this entry »


NERD Game Scores for September 17, 2016

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
New York AL at Boston | 13:05 ET
Mitchell (7.1 IP, 99 xFIP-) vs. Price (205.2 IP, 79 xFIP-)
Two days ago, with a Cy Young candidate in Masahiro Tanaka scheduled to face the struggling Eduardo Rodriguez, it seemed reasonable to think that the Yankees had some cause for optimism with regard to the short-term fate of their postseason odds. A ninth-inning loss on Thursday, however — followed by a more pedestrian sort of defeat last night — has rendered their improbable claim to the division something more like impossible.

Postseason Odds, Red Sox and Yankees
Event Boston DIV% Diff New York DIV% Diff
Start of Series 61.4% 8.1%
After Game 1 68.1% +6.7 5.9% -2.2
After Game 2 69.6% +1.5 3.8% -2.1

Nor is the prognosis for this afternoon particularly good for New York: the Red Sox feature nearly a 70% probability of winning that contest according to this site’s methodology.

Readers’ Preferred Broadcast: Boston Radio.

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The Best of FanGraphs: September 12-16, 2016

Each week, we publish north of 100 posts on 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.
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FanGraphs Audio: Dave Cameron and Jeff Sullivan at Once

Episode 682
Dave Cameron is the managing editor of FanGraphs. Jeff Sullivan is a senior editor at that same site. They both appear on this edition of FanGraphs Audio, live on tape from a weird hotel in Colorado or something.

This episode of the program either is or isn’t sponsored by SeatGeek, which site removes both the work and also the hassle from the process of shopping for tickets.

Don’t hesitate to direct pod-related correspondence to @cistulli on Twitter.

You can subscribe to the podcast via iTunes or other feeder things.

Audio after the jump. (Approximately 51 min play time.)

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Hanley Has Been Hammerin’

In 2013, Hanley Ramirez tore the cover off of many a baseball. He was the Dodgers’ best position player, and their second-best player overall after Clayton Kershaw. During that season, which was abbreviated due both to thumb and hamstring injuries, he put up a .293 ISO in 336 plate appearances. The Dodgers offense had a hard time producing without him, particularly in the National League Championship Series. After Ramirez had two ribs fractured by a Joe Kelly fastball that had lost its way in its journey to the strike zone, the Dodgers would score just 13 runs in six NLCS games, with six of those runs clustered in Game 5.

Now, Kelly and Ramirez are teammates (I wonder if Kelly ever apologized for that hit by pitch) and Ramirez really hadn’t hit like that for an extended period of time since. He showed signs of it in April of 2015 but then ran into a wall down the left-field line at Fenway, and wasn’t the same afterward. He had been a good hitter in 2014, but not a power hitter. The same seemed true at the start of this season. He was getting on base at a decent clip — .367 was his on-base percentage — but the power wasn’t there.

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