Tumbling Dice > How Much is Enough?

Lawr Michaels at Creativesports.com

Lawr writes about the number of leagues he plays in, thinking that maybe he’s playing in enough.

I’m reminded of a talk the Blue Jays scout Kimball Crossley gave at First Pitch Arizona a couple of years ago, which he started by saying that people who played in more than one fantasy league were missing the point. A big league general manager makes choices and has to live with them. Those of us playing in two or five or ten leagues, aren’t really making choices, he said, we’re throwing crap at the wall and are glad that some of it sticks.

Over the last few years I’ve dropped out of a few leagues, in part because I agree with Kimball (who some years ago drafted the Patton-Kreutzer team in the XFL, when neither Alex nor I could make it to Arizona for the draft), and now only play in three (AL only keeper American Dream League, NL only Tout Wars, oddball mixed keeper XFL).

I miss the guys, especially in the Rotoman’s Regulars League with it’s 20 team mixed format, but sometimes less is more.

The Forecasters Challenge 2009–final results

TangoTiger.net

I’ve written about Tom Tango’s Forecasters Challenge here before. Tom asked many of us to contribute our preseason rankings of baseball players based on a metric he devised to calculate a player’s contributions on the field. His plan was to run thousands of drafts from these lists. The team that performed best would be judged to be the best, most useful projection system.

There was lots to like in this approach, though as Tom details in the report linked to here, there were also some surprises. He writes about some of the key structural ones, which have led him to run other iterations of the drafts, trying to find a format that gives a more nuanced judgment of the relative lists.

There are three other points that I think should be made.

First, there is a good chance that the weighting between hitting and pitching is off. This is certainly true of my team (which finished fifth of 22 in the original contest). Whether this is because I weighted hitting and pitching the same, which I did, or because I didn’t discount pitchers for their unreliablity, which I didn’t, or because I just undervalued hitters, something was off. Looking at the two components individually, which Tom has said he will do, should help us better understand how the original contest worked.

Secondly, not everyone used straight projections. Some systems weighted for position scarcity. This wasn’t prohibited, so I’m not complaining, but when it comes time to analyze the results it should be understood that in at least a few cases sardines are being compared to mackerels. A simple correlation of all the projections systems to the final actual ranking would be of interest.

Thirdly, as Tom notes about how Marcel handles players with no ML playing time, all systems use a sort of generic noise projection for the marginal players. This means in a correlation study that the noise can overwhelm the estimates of what players expected to have regular playing time will do. For this reason, I don’t think it would be a bad idea for Tom to run the drafts using a 12 or 15 team league format, so that not every projection system is in every league. This would mitigate the problem of small ranking differences being exagerated by the draft procedure, and may give us a better result. His head-to-head matchups are interesting, too, especially since so many ranks changed dramatically, but another angle of analysis on the data would certainly help us figure out what is better.

These notes are not meant to be critical in any way. Tom’s enterprise has thrown off a whole bunch of interesting data, which I hope he will keep returning to all winter long. Once the magazine is done I expect to dig in, too. He deserves a mountain of credit for conceiving this project and seeing it through. Ideally, we’ll be able to do it again next year with a better idea of what we’re going for. Thanks Tom!

Eriq Gardner Looks at Player Raters

THT Fantasy Focus

My April prices will finally get posted here, later today. They are like a primitive version of a player rater like those found at ESPN, Yahoo, CBS and Rototimes, the kind Eriq Gardner writes about at Hardball Times today. Primitive in the sense that the sophisticated big-media versions calculate their values automatically, plugging the stats into a formula and spitting it forth, while I cut and paste stats into a rather elaborate spreadsheet, make some adjustments because of the number of samples, and then generate a report.

Gardner’s point about what the player raters are actually measuring is a good one. Head to head values are a lot less useful to a classic Rotisserie player than straight 4×4 values. And vice versa. And, it doesn’t need to be repeated, values generated from current stats measure what has happened, not what will happen. But I think Eriq misses the main point with the raters and why they’re of value: they synthesize (or should synthesize) the fantasy categories into one score.

Looking at the stats of two players with different profiles, it can be hard to judge which is more valuable. A player rater that properly reflects the values of your league (or at least lets you know what it is measuring) let’s you assess the aggregated value of a player in all the categories. That Jason Frasor is more valuable than Felix Hernandez thus far tells us something about the teams these guys are on, and it tells us something about their stability in the standings.

The player rater also tells us which players are running ahead of pace, and which are running behind. If we know that Ian Kinsler is currently earning $52, we can judge that he is likely to earn relatively less for his team the rest of the way than he has thus far. If we know that Big Papi is earning $2 right now, we can hope that his contribution is going to increase dramatically the rest of the way (though, if we expected him to earn $20 on the year, and he’s earning $2 now, he needs to earn about $23 each of the remaining five months to get back on par). 

I don’t think you could tell the difference between a set of $20 and $23 stats, unless they were side by side.

Player Raters are overrated and underrated, too, it seems. Like most tools, it depends on what you do with them.

Is it too late to win?

KFFL – Baseball HQ

There is something weird going on at KFFL. Old stories from BaseballHQ are showing up, which is fine, but with new dates. This story is from 2003, I think, but the data is important. I’m not so sure about the conclusion.

It is good to know when you can count on the overall volatility of the standings to have “setttled.” I’m not sure I wouldn’t have guessed mid May, but I like some evidence.

I’m also sure that the volatility by category indexes, showing that stolen bases and saves change the least, is counterintuitive and correct. Alas, I’m pretty sure that the article’s conclusion, that this means buy steals and saves on draft day and trade for power later, is wrong, for all the reasons the article points out these categories are the most stable.

Still, despite its date of birth, this and probably other baseballHQ goldies are well worth checking out at KFFL.

Catching is the Cruelest Position

By Peter O’Neil
Fantasy Baseball Canada

What branches grow/Out of this stony rubbish?
— The Waste Land, T.S. Eliot

A lot of fantasy players who made big investments in catchers are hoping that April is indeed the cruelest month, and that things will get better, because it’s certainly been a rough one for owners of studs like the disabled trio of Brian McCann, Joe Mauer and Ryan Doumit.

There’s bad news all around. Owners of Russell Martin, Chris Iannetta, Geovany Soto, Ramon Hernandez, Kelly Shoppach, Kenji Johjima and Chris Snyder all expected more. Martin is sure to bounce back, though perhaps not as much as owners expect, and his zero-for-two record in stolen base attempts appears ominous for a player who derives so much of his fantasy value from steals.

Some of the others, like Iannetta, face playing time questions if their struggles continue.

Matt Wieters owners, meanwhile, will be unimpressed with his strikeout rate so far this April in AAA, a level he was supposed to dominate en route to a call-up many expected would come as early as next week.

For those of us replacing the injured, or demoted, the pickings have been slim and grim:  Brian Scheider was struggling before he got hurt, and veterans like Jason Kendall and Greg Zaun look like they might not be able to make it through the year without facing forced retirement.  Jesus Flores and Rod Barajas have had nice little runs but they’ll come back to earth.

Are there bright spots? Absolutely.  Victor Martinez and Jorge Posada are bouncing back strong from tough years, Benjie Molina remains an RBI machine with remarkable durability considering his body type, and Brandon Inge has been a spectacular reward with owners who had the foresight to be optimistic about what he could do while being settled in a single, non-catching position for a full year.

Yes, it’s early, but first impressions are often powerful, and I’m wondering if this experience will have an impact on next year’s drafts and auctions.

Those of us who have been at this for more than a few years remember when closers went for sky-high prices, sometimes in the first round in drafts.  But in recent years it has become more and more clear that relievers often lose their jobs, or break down, which in turn means that saves can be acquired fairly cheaply. I’ll never forget the year I decided to “punt” saves by waiting until the very end of a draft to take three relievers who were merely candidates to close coming out of spring training. All three, including Eric Gagne, turned out to be 30-plus save closers. I won the category running away, and I’m pretty sure my experience had a deflationary impact on closer prices the next year.

There are experts who already have been urging fantasy players to avoid making big investments on catchers because of the injury risk and the wear-and-tear that impacts players like Martin — even if they don’t end up on the DL. I predict that the once-burned, twice-shy sentiments of owners this year, who are now looking enviously at the gleeful Inge owner in their league, will have a deflationary impact on catchers’ prices  in 2010. For those of you in keeper leagues I would suggest you assemble your team with this in mind.

It May Be Time to Acquire Power

Derek Carty–THT Fantasy Focus

The Hit Tracker reports that home runs are flying about five feet farther than they were last year and there is little chance this is random, which may mean the ball is juiced. Derek Carty explains how you can turn this into an advantage, maybe.

I’m not sure what to make of The Hit Tracker, Greg Rybarczyk’s trajectory simulator software. It is certainly impressive and I feel comfortable relying on it’s individual stats for the fun business of characterizing blasts, but is it really accurate enough to get granular over an average of five feet per homer? Is it accurate enough to say that the ball is juiced based on the Hit Tracker reports? 

I’m not saying I know it isn’t, but I’m skeptical. Still, it isn’t a bad idea to look at guys who had just barely enough power last year (Jack Cust leads that list, along with Ryan Braun and Mark Reynolds in the AL) and think that they just might benefit. 

Also, to clear up an issue in Carty’s story: If there is m ore hitting in the year, the value of the best pitchers generally goes up. And if there is more pitching, the value of the best hitters usually goes up.

The Cutter: Magic Pitch

Fantasy Bullpen

I liked Kyle Davies going into this year because of his age, his pedigree, his good spring, and I knew he had added a cutter. What I didn’t know was how big a weapon the cutter seems to be. 

If Alex Gershwind is right, it’s a big weapon, though there are some open questions about his study. Most pertinent is what the sample actually is. Did he only include players who threw fewer than X number of cutters in Year 1 and more than X number of cutters in Year 2? This would tend to eliminate failures from the pool, but he doesn’t say.

He also doesn’t give a demographic profile to the guys in his study. If they were mostly not Jamie Moyer, or if they were, like Jamie Moyer, all guys on the threshhold of dropping out of the league, their typical regression to their mean career stats might show a dramatic swing.

But I have Davies in one league and I need him to do well. So I’m not looking too closely.