Blogs

Loving Bill James

by

David Lederer has done a lot of work indexing the information that is in Bill James’s Baseball Abstracts.

You should read all of David’s summaries of the Abstracts, and you should read all of Bill James, from the Abstracts to after.

I hope you knew that, but if you didn’t, now you do.

David’s summary of Bill James’s last Baseball Abstract is most excellent. A place to start if you don’t know all this stuff, and a place to collect your thoughts if you already do.

BTW, I have probably written about this post multiple times before. Nuff said.

Ps. One of the greatest insights in this piece is Bill James’s notice of how great an influence defense has on pitchers. We’ve all been noticing this the last few years, and major league teams have been acting on this idea, but Bill James pointed it out 22 years ago. Plus, he could write.

The Players Who Weren’t Traded

by

I don’t know about you, but I spent the last few days leading up to the interleague trade deadline clicking on the excellent mlbtraderumors.com. And even now that the deadline has past and the smoke (Smoak) has cleared, they’re still relevant and worth checking out.

This post about the players who weren’t traded is full of useful information, but none more so than the list of players who cleared waivers in August last year and changed teams. If you weren’t in the best position to cash in on the semi blue chippers who just changed leagues, have hope. If the past is prelude, there is more yet to come.

Metsgrrl’s Guide to Citi Field

by

Yes, the new home of the New York Mets is more than a year old, and I haven’t been. To see the Mets, that is. I’ve been to the very beautiful ballpark for the Tout Wars drafts this past March, hosted by the NFBC, and I entered the year looking forward to visiting the new ballpark for fun. In otherwords a game. But once baseball season starts we begin work on the football magazine. Spare time goes to the family. Time flies, there is editing to be done. Etc etc you know what I mean.

But now the magazine is on its way to the printer, and longtime Guide and Patton$ contributor Mike Fenger is in town with his baseball loving daughters, and we’re going to the yard.

Metsgrrl (on the right)

So, I started casting around for information and came upon this excellent piece of work. Metsgrrl has guides to other parks and tips for traveling to them. The wider travel site is newish, but you can see the seeds of a similar love for the ballpark experience her work abroad as the metsgrrl blog shows for all things Mets. All highly recommended.

Ps. In my list of favorite ballparks it’s hard to fend off the glories of Fenway and Wrigley (Chicago), and alas I was a dues paying member of the Save Tiger Stadium committee for a while but never got there to see a game (I did once stand outside while the Tigers were out of town, and soaked in its surface glories), but I’d like to make a quick case for Comiskey Park. Beautiful ironwork, old style enclosed ballpark, excellent sausages even in the 80s, and a general feeling of the dusky dark appeal of the morbid baseball fan. I can see why they moved on, but that place was baseball’s Notre Dame.

One other story: I did see a game at the Polo Grounds when I was wee lad of seven. It was a night game, Mets versus Colt 45s, and I remember it similarly had a darkness similarly to Comiskey, except that the game I saw in Chicago was a day game. Those two were baseball parks Edward Gorey might love (though I dare say his game was more badminton than rounders). Lost and mourned, at least by those who got to get there.

More Cardrunners Debate, at THTFantasy.com

by

In a previous post I wrote about the Cardrunners League I’m playing on, pitting quants vs. so-called fantasy experts. This has become a rather unwieldy mess, in part because the central issues keep erupting into flashes of debate about whether analysis or intuition matters more. The funny thing is that even when there is too much blather in this pissing match, there are interesting issues that come up about what we know and what we don’t know about the game of fantasy baseball itself.

Now, some THTFantasy writers are weighing in at their own site. Derek Carty is also a Cardrunners League competitor, but I like Derek Ambrosino’s take, which makes many of the points I’ve been trying to make, often with more wit. Derek also quotes a Mike Podhorzer piece about what makes an expert, which is a must read. Paul Singman also talks about the problem of identifying which players and which fantasy strategies actually work, which is certainly a huge issue. How do you decide what works if there’s no definitive way to test it?

For my part, I would love a tool that let me test different strategies in thousands of runs, to see what range of possibilities there really are. But I think the Derek defines the nature of the game in a most instructive way when he compares it to chess (a head to head game) and the stock market (a one against many game with many winners and many losers). Roto is a game of one against many with only one winner, which is different. Setting yourself apart would seem to be essential to win, but how is this done? The quants seems to think incrementally, by buying value. I think the so-called experts see more need for radical action, though it is certainly open to debate whether these are genius picks or zagging while others zig. All in all, a fascinating discussion if you have the time.

2009 Luckiest and Unluckiest Hitters and Pitchers

by

Tristan Cockcroft for ESPN.com

I missed this story by the esteemed Tristan Cockcroft in February, and mention it now only because despite his consumer warning at the start (a low BABIP doesn’t necessarily mean that a hitter has been unlucky), and because of his interesting use of Expected BABIP, I have some concerns.

1) Tristan’s Expected BABIP is calculated without regard for a pitcher’s defense or a batter’s speed. No wonder Jarrod Washburn had a low BABIP last year in Seattle (as Tristan points out), he was pitching in front of a dee that turned hits into outs. Sticking with Seattle, isn’t it clear from Ichiro’s career BABIP that his expected BABIP, calculated from the components of his AB, is wrong? In this context, what use is the expected BABIP? Maybe some, but since it tells us less than it promises, it seems a little dangerous.

2) Component stats are useful tools, but they are subject to random variation, too. Just because you’re measuring the type of hit by a batter or a pitcher doesn’t mean that the results will hew to the expected number of hits and outs. A small sample is a small sample, and there will be error. How much and in which direction is impossible to say, which is a good reason not to count on players regressing to the mean based on expected BABIP.

3) But they do. Robert Sikon, at Fantasybaseballtrademarket.com, did some studies looking at 2008 BABIP and determined whether unlucky players improved the next year and lucky players batting averages declined. He reports that 64 percent of unlucky hitters improved the next year, and 90 percent of lucky hitters declined.

4) In 2008, Chris Dutton and Peter Bendix published at the hardballtimes.com an improved version of Expected BABIP. This was improved over Dave Studeman’s original formula, which was a rather simplistic Line Drive Percentage + .120. Dutton and Bendix ran regression analysis on years of data to determine which inputs were relevant and they claim their formula explains 39 percent of the variance in BABIP. They don’t publish the formula in this paper, however, so I don’t know how it has stood up, and can’t personally test it.  They do have a online tool to calculate xBABIP, which Derek Carty wrote about last year, but you have to enter the info by hand.

I think this BABIP work is really important and I’m glad smart people are working on solving it, but it seems worthwhile to point out that all conclusions are somewhat tentative at this point. We’re still working out how much genuine info is found in these data, and how much it will help us improve our projections, for isn’t that its real value?

The Cardrunners Discussion

by

A couple of weeks back, I wrote about a new league I’m playing in called Cardrunners, after a poker instructional site that is sponsoring it. The league has a blog and home page, which has turned into a lively discussion about two divergent approaches to the game.

Bill Phipps is a poker player and a financial guy, and he thinks the general level of fantasy play is poor. He believes building a model of projections and valuation can help someone beat others consistently. Bill’s posts at the Cardrunners blog are provocative and confident. League organizer Eric Kesselman is a frequent contributor, too, with a sensibility similar to Bill’s, but without the bluster.

Rotowire’s Chris Liss argues that all the information of projections and valuation are shared by all the players in any competent fantasy league, and that the edge goes to the player who has the imagination to see what next year’s cheat sheet is going to look like this year, and draft accordingly. Chris has a post at Rotosynthesis called Lost in Translation: Why your projections and dollar values won’t save you.

One gets the sense that the Bill and the poker players don’t realize how tramped over this ground already is. Maybe I should send them to the Masochists Notes from Alex Patton’s books of the 80s and early 90s. The Masochists chapter that Alex blames for ending his run as a book author is here. It is about a retrospective draft experiment we set up, among other things.

Cardrunners: My first auction of the year

by

I joined a new high-stakes 5×5 AL only auction league this year. Some of the prize money is put up by a poker education site, cardrunners.com, and some by the participants, who are a mix of fantasy experts, professional poker players, and financial pros. There are only 10 teams, but you can spend your money on all 28 of your rosterable players (you don’t have to, there is a draft when all teams are out of money). This changes the endgame some, as Rotowire’s Chris Liss notes in his post at Rotosynthesis (where he also posted the draft results).

Another wrinkle is that you can buy NL players. I spent some time trying to figure out what Adrian Gonzalez would be worth, and considered throwing him out early, but someone (I don’t remember who) beat me to it. My back of the envelope calculation was that a 50/50 chance for half a season of Gonzalez was worth a blank $8, though that calculation would change as the auction progressed. As teams recognize their strengths and weaknesses it might make sense to bid more for the high risk play. The gambit of coming out early could mean a bargain. In fact, I bumped a $3 bid to $4 and Daniel Dobish, Dave Gonos’ partner, muttering “I’m not letting him go to someone for free,” bid $7 and won him. Not a huge risk, but a nick in his budget he’ll feel if Gonzalez doesn’t come over.

There was a similar calculation in my most uncharacteristic moment in the auction. After adjusting my prices for the smaller league I was pleased in nearly every case but one (there was also a blip in the late early part of the auction where the price of outfielders who steal, namely Ichiro and Denard, went for scandalously low prices) that they were accurately describing the action. The difference came with the catchers, where huge draft inflation persisted all night. The action players, at least the guys who won the high-priced catchers through most of the auction, were the non-experts. They took Mauer to $40 and Victor Martinez to $35, and Napoli and Suzuki to $18. Even at the low end, guys I had listed for $2 were going for $5. Matt Wieters name was called fairly late, but there was still plenty of money around. His price surged past my $16 bid limit, but I had money to spend and when the bidding slowed at $20 I bid $21 and won the sophomore backstop. The move effectively changed my team from Nolan Reimhold and two scrub catchers to Wieters, Jose Guillen and a scrub who turned out to be Brayan Pena.

I don’t remember who had the penultimate bid on Wieters, but if it was one of the Cardrunners boys my brash reach means I wrecked the purity of a position-scarcity experiment, with the so-called experts buying cheap catchers and the so-called amateurs buying the pricey ones. All of them, as noted before, were inflated.

This morning I ran the projected stats of all the teams using the CHONE projections, mostly because I have Chone Figgins on my team. The key is to avoid testing your team using your own projections, since they naturally flavor the players you pick up. I don’t want to give up any competitive edge this exercise offers in its details, but I’m delighted to share for posterity the final standings, which surely won’t look anything like this next October.

TEAM PTS
Phipps 62
Carty 56
Rotoman 53
Hastings 51
Chad 50
Gonos 49
Wiggins 49
Eric 46
Liss 40
Erickson/
Sheehan 38

Since these include active rosters and reserves, and NLers Gonzalez and Ricky Nolasco, and Chone’s projections are generous with the playing time, upping the value here of guys who may not even play, they should be taken with a grain of salt. But they’re a start while we wait for games that matter.