Author Archive

No Enthusiasm Curbed for Derek Jeter

UZR and like minded fielding statistics were almost mentioned by name on tonight’s Curb Your Enthusiasm when Larry David got into a fight with a stonemason about whether or not Derek Jeter sucks. Here’s a transcript of the phone conversation:

Stonemason: “That guy [Derek Jeter] sucks.”

Larry David: “Who sucks?”

Stonemason: “Derek Jeter, he’s the most overrated player in baseball.”

Larry David: “What did you say?”

Stonemason: “I can’t stand Derek Jeter, you know he’s the worst defensive shortstop in baseball statistically?”

Larry David: “Oh Bullshit! He’s a great clutch hitter, he’s a great clutch player!”

Stonemason: “There’s no way he deserves that kind of money he’s making.”

And then Larry David changes the subject.

Later in the episode, Larry David starts talking about the stonemason’s Jeter hating and says, “…starts telling me how Jeter’s overrated. What an ignorant moron. My God, please, give me a break. There’s not one person who has ever said that except this asshole, honestly.”

While the part about Jeter being one of the worst shortstops defensively is true, he has come pretty close to being worth what he’s paid, at least in a cumulative sense over the past 8 years.

In any case, it was fun to see fielding stats mentioned on Curb Your Enthusiasm, even if it wasn’t Larry David defending them.


HuffPost’s Sports Game Changers

The Huffington Post today released their list of top 10 “Game Changers” in the world of sports “who are harnessing the power of new media to reshape their fields and change the world.”

I was honored to be part of the list and it’s really a testament to our incredible writing staff and of course all our visitors who have helped spread the word and have taken the time to help educate people about the usefulness of stats based analysis.

In the meantime, if you have a free minute head over to the Huffington Post and give your vote!


Blogs Now Mobile Friendly

When we launched the iPhone App about a month ago, one of the most requested features was adding blog content to the application.

While we are definitely exploring the possibility of adding blog content to the application, in the meantime, both the FanGraphs Blog and the RotoGraphs Fantasy Baseball Blog can now be easily viewed by anyone in their mobile web browser without doing unnecessary finger gymnastics.

Just go to either of these links on your mobile browser to make reading and commenting on the go a lot easier.

www.fangraphs.com/blogs
www.fangraphs.com/fantasy


Registration & Contact Issue

Apparently for the past few days we’ve had problems sending out e-mails which would have affected anyone who tried to register, reset their password, or send us a contact form.

I apologize for the problem and it is now fixed. If you were trying to contact us in the past few days through our contact form, we unfortunately didn’t receive the message and would be happy to answer any questions you might have if you resend your inquiry.


UZR: 2008 to 2009

I am constantly hearing how UZR is an unreliable way to measure fielders because there are “wild fluctuations” from year to year. I decided to put that to the test doing an apples to apples comparison of UZR from 2008 to the nearly completed 2009 season. I only compared players that played the same position and had the qualified number of UZR Chances. Here are the results:

more than 50 chances in both years = r^2 of .15
more than 100 chances in both years = r^2 of .19
more than 150 chances in both years = r^2 of .24
more than 200 chances in both years = r^2 of .28

Quite simply, the more of a fielding sample we have for a particular player, the great the correlation from year to year.

For comparisons sake, if we look at wOBA from 2008 to 2009 you get this:

more than 300 PA in both years = r^2 of .24
more than 500 PA in both years = r^2 of .30

So the lesson is, when there’s not a lot of UZR data on a player, there will be a lot of noise, but as the sample size increases, the data (at least from 2008 to 2009) actually becomes almost as highly correlated year to year as the stats that are considered to be the most reliable.


Login & Forum Changes

I’ve implemented a number of changes that were required to do a single sign-on for the entirety of FanGraphs.com Unfortunately, as a result, some of your passwords will no longer work. To reset your password, all you need to do is fill out the lost password form to have a new password e-mailed to you. You can then change your password back to whatever it was before.

I realize this is somewhat annoying and I apologize for the inconvenience, but as the site grows and we implement more features that require login, it just didn’t make sense to continue with the old system.

Fortunately, everyone’s custom teams and forum posts have been completely preserved.

The immediate benefit of the change is that you can now use your FanGraphs username to comment on either of the blogs.

If anyone is having any problems retrieving their password, please fill out a contact form and I’ll try and get things squared away as quickly as possible.


FanGraphs iPhone App

I’m pleased to announce that FanGraphs has arrived on the iPhone & iPod Touch!

This initial version of the FanGraphs Baseball iPhone App includes:

– Live win probability and win probability graphs.
– Live box score and play-by-play data.
– Basic/Advanced/Value stats for any baseball player.
– Minor league stats.
– Historical game data going back to 1974.

Here are the screenshots:

GameList PlayerStats

PBP IMG_0118

BoxScore GameGraphs

IMG_0117 IMG_0116

The app is currently priced at $2.99 and is available now. You can either click here to take you directly to the app store page, or search for FanGraphs in iTunes.

Be sure to leave us feedback so we can start adding additional features to the next version!


MGL’s Recent Musings

Mitchel Lichtman (MGL), the creator of UZR, has been setting the record straight on UZR, among other things, over and over and over again. Here’s his most recent interview, and some other links worth reading if you’d like gain more insight on UZR and baseball data in general:

Newsday: Bellmore’s Lichtman shows his baseball knowledge through UZR

Comment: The difference between offensive and defensive statistics

Answering: What kinds of factors skew statistical analyses of defense?

Comment: The differences between UZR and +/-

Sample Size and the Granularity of Data [John Smoltz]


Seeing and UZR and Teixeira

This weekend I received enough e-mails about Mark Teixeira and his 2009 UZR of -0.8, that I thought it was worth discussing in a public post instead of answering each e-mail individually. I can only believe that this debate was spurred by a blog post on the New York Times website by Tyler Kepner:

[…] and his defense has been off the charts.

I say off the charts because I’m convinced there is no chart that accurately measures defense. The attempt is a noble one; defense is easily the most underrated ingredient in how games are won. But I don’t fully accept it.

People often cite Ultimate Zone Rating, a metric that tries to measure range and errors and how they affect runs allowed or prevented. But how can that statistic be valid when it says Teixeria has had a negative defensive impact?

Teixeira makes tremendous plays every game. He smothers everything near him, and his throwing arm is fantastic. Maybe he seems better than he is because the previous Yankees first baseman, Jason Giambi, was so adventurous in the field. But it would be hard to overstate the importance of Teixeira’s defense.

Kepner is quick to dismiss everything about UZR on what amounts to his own observations on one player. Then he leaves himself an opening in saying the equivalent of “maybe I’m biased because I’m not used to watching a good first baseman?”

What does UZR have to say about Jason Giambi then? He’s been -24 runs below average since joining the Yankees in 2002 (including his 2009 with the Athletics so far). Not a good defender. And what about Teixeira since 2002? He’s been +14.4 runs above average.

Well that’s strange. UZR agrees with what Kepner is absolutely sure he is seeing. That Teixeira is at the very least better than Giambi. And UZR actually thinks he’s considerably better than Giambi. I wonder what Kepner would say about that?

The quote that Teixeira has a negative defensive impact is a bit misleading too, considering he has a -0.8 UZR on the season so far. In my book, that’s pretty much average. He never even bothers to mention how negative it is and with the way he’s discrediting UZR, you’d think he was rated the very worst first-baseman out there.

In truth, Teixeira over the 2008 and 2009 seasons has been rated the #2 first-baseman by UZR at +9.8, so UZR has actually liked the guy a whole lot the past two seasons. But, I don’t want the point of this post to be for me to try and validate UZR.

Advanced baseball stats often paint a contrarian picture of baseball. Whether it be a player’s value or a player’s skill level, they often do not agree with popular and mainstream thinking. On the other hand, sometimes they do agree with mainstream thinking, but just because they don’t doesn’t mean anything is wrong with the statistic.

Imagine trying to gauge a player’s offensive value without using any stats. Do you think you’d remember all 600 plate appearances the guy had during the season? You probably wouldn’t. You might remember the big hits or the times he really screwed up and your opinion of the player would be biased based on a small sampling of what you could remember.

This is pretty much the same point I’m going to make with the state of fielding statistics. There is no way you remember every single play Teixeira or anyone else has made during the course of the entire season and you might only remember the big plays, or you might only remember the plays that killed your team. It’s also possible that Teixeira makes the easy plays look difficult and you’re just not realizing it. There’s really a number of areas where your memory of what Teixeira has actually done could fail you.

But this is not to say that what you see is completely useless. Studies like the Fan’s Scouting Report (by Tangotiger) have shown that through the wisdom of the crowds (many eyes and not just yours), you can get a good read on how a player is defensively.

If everyone out there agrees that Teixeira has been the absolute best first-baseman out there this season, then that’s fine, and there’s definitely value in that. The underlying data in UZR isn’t perfect and with time the imperfections get sanded out, but it’s perfectly reasonable to put some error bars on the 4 months of data used to calculated Teixeira’s -0.8 UZR on the year.

It’s also worth noting that UZR is not the only stat that thinks Teixeira has been basically average. John Dewan’s +/- (Fielding Bible) has him at +1 runs above average (also basically average in my book) and for those of you still holding onto Range Factor, he’s the 3rd worst qualified first-baseman.

In any event, when looking at these advanced fielding statistics, please use your brain and don’t be so quick to jump to conclusions just because your eyes tell you differently.


tRA on FanGraphs

Good news everyone. tRA has made its way to FanGraphs thanks to Graham MacAree of Lookout Landing and statcorner.com. tRA is currently located in the player pages under the batted ball section of stats.

Directly from the StatCorner glossary:

tRA involves assigning run and out values to all events under a pitcher’s control and coming up with an expected number of runs allowed and outs generated in a defense and park neutral environment. tRA is on a R/9 scale and does not involve any regression of the rates.

There are a couple things which are different between the StatCorner version of tRA and the version implemented on FanGraphs. The main difference is we’re using Baseball Info Solutions batted ball stats instead of Gameday batted ball stats. The other difference, though probably not as major is we’re using different park factors.

tRA will not be available in the leaderboards or team pages until this winter most likely because it’s going to take a minor overhaul to the code in order to handle the park adjustments.

Graham will be stopping by later to give a better overview of the stat.