Author Archive

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.


Easily Share an Article

Like pretty much every blog out there, we’ve decided to make it easy for you to share an article on FanGraphs. I’m sure a lot of you noticed this already, but figured it was worth pointing out in case you missed it. Just hover over the share button to easily send the article to wherever you like:

share


Site Status

Unfortunately, I was not well enough prepared for the trade deadline this season and the server FanGraphs is running on couldn’t quite take the traffic load. Sometime tonight FanGraphs will be down for approximately 30 minutes for server upgrades which will hopefully allow for a much smoother running FanGraphs. Thanks for your patience!


No UZR Update Tomorrow

UZR stats will be updated this Monday instead of the usual Sunday for this week only.

Update: UZR stats have now been updated through Sunday, July 26th.


2009 All Star Game – Archive

Because we don’t keep the All-Star game in the database and it will be “gone” by tomorrow, here’s the 2009 all-star game graph and stats if you want to see them later:

allstar2009


Wanted: Research Assistants

Update #2 – We are no longer accepting applications for these positions. Thank you for your interest and if you weren’t able to apply, but would have liked to, be sure to keep on the lookout for additional openings.

FanGraphs has openings for three part time research assistants. The job entails mainly research and data entry.

Here are some qualifications we’re looking for:

– experience using Microsoft Excel
– solid research skills and a strong attention to detail
– able to contribute about 5 hours per week

Please send all applications to david@fangraphs.com.

Update: Due to the tremendous amount of interest in these positions, the cutoff for applications will be at 6pm EST today.


Minor League Game Logs

Since it’s draft day and all, I thought it’d be appropriate to upgrade our minor league offerings so you can keep better track of how your favorite prospects are coming along.

Minor league players now have game logs. Now you can see just how many strikeouts Tommy Hanson had in each game, opposed to just knowing he struck out 90 batters in 66 innings while in AAA.

All the minor league game logs are interspersed in chronological order giving you a very complete view of how a pitcher did that year, even if he bounced around from the majors to the minors.


Pitch Type Values: Batters & Leaders

A couple weeks ago we debuted the Pitch Type Values for pitchers in the player pages allowing you to see how effective a particular pitch has been for any pitcher over the past 7 years.

We’ve now updated the player pages for batters so you can also see how well they fare against each particular pitch. In addition, this information is now available in sortable form in the leaderboards, team pages, and my team sections.