peter

Fantasy baseball advice for those who ask.

A Writer Discovered Fantasy Baseball in 1990

by

Dream teams – The Boston Globe

I could read roto reminisces all day long (and in fact on many days I do), and even this piece by Peter Keating didn’t get me to stop reading. But all sorts of red flags waved. This isn’t a lively or even very interesting history of roto, Keating relies on buckets of cliches to move the story along, and abandons his beknighted friends along the way. I mention it here because it’s proof that not all baseball writing pushes our receptive buttons, even if I could read it all day long.

Mike Lowell

by

Boston Red Sox : Player Information

A reader wrote to point out that Mike Lowell, who is generally thought of as a third baseman, played nine games at 2B last year, and so qualifies there in some leagues. Lowell’s 2005 campaign was so woeful that there are surely some who would prefer Hector Luna at second, but Lowell’s past is distinguished enough that he has to be considered a pretty good buy-low candidate this spring.

BTW, he seems to be doing just fine this spring after a slow start, though he’s hit just one homer.

Eric Munson

by

Rotoworld.com – Eric Munson Biography

The notion that Eric Munson is going to be a suitable reserve for the aging Brad Ausmus seems, on the face of it, to be crazy.

The notion that Munson will hit enough to hold the job, much less play the position well enough, is absurd. We have plenty of history to back that up.

Which is why Humberto Quintero is an interesting reserve play. With Raul Chavez out of the way (waived, then claimed by Baltimore) Quintero is the only real option the Astros have if (when!) Munson is discarded.

Quintero hasn’t developed as a hitter the way we (meaning, I) expected, so there are reasons for the Astros’ reluctance to promote him. But as a late in the game reserve pick sleeper, he’s golden.

Adam Kennedy Statistics

by

Baseball-Reference.com

As Adam Kennedy reaches 30 there is a whirling dervish of a hitter named Howie Kendrick nipping at his heels. Some will tell you that the Angels will be looking to move Kennedy come midseason to make way for Kendrick, and clearly AL only players should worry about such a thing. Kendrick brings a very tough approach to the plate, and he has an impressive swing, but he’s probably not ready for the majors now, and the usually conservative Angels are likely to wait rather than push aside a regular in midseason.

This wouldn’t matter if Kennedy was going for full price, but if he’s discounted because of this talk, jump all over him. Howie Kendrick would. I think.

Rolen shoulders the load

by

MLB – Yahoo! Sports

In Tout Wars NL Rolen went for $20, which made him either the most underpriced star or the most overpriced hurt guy. No one knows at this point, as this story makes clear, especially Rolen and the Cardinals. That makes Rolen a great pick up if you have bad freezes and may be playing for 2007, but a very risky play in a startup league. It’s tough to drop $20 on a guy, hoping to get $25 out of him, when you might get nothing.

Ask Rotoman!

by

Major League Baseball : Fantasy : Fantasy

Dear Rotoman:

While I have a great deal of respect for anyone that
compiles as much data for baseball fans and fantasy
addicts as you, I did want to point out some major
flaws with your projections for 2006 regarding
pitchers’ statistics. I am assuming you use some sort
of stat compiler or program you invented to project
season statistics. Of the pitchers you estimated
statistics for, you’ve projected only eight MLB
pitchers totaling 14 wins or more in 2006. Was this an
oversight? Colon finishes with 16, Oswalt and Santana
with 15 each, and Suppan, Sabathia, Lee, Prior and
Halladay with 14. I understand that its difficult to
pay individual attention to each pitcher, but there
must be a way to plug in the frequency of 20-game
winners, 19-game winners, 18-game winners, etc., into
whatever formula you are using to project stats. It’s
unrealistic to project such marginal stat lines, and
its a disservice to your fans to kick out these
figures like a robot, especially if you were being
intentionally conservative. SOMEBODY in the majors is
going to win at least 17 games. I’m willing to bet my
life savings on it. Wouldn’t you?

“Go for Broke”

Dear Go:

Absolutely, someone will win 18 games this year, but what good does it do to project the wrong guy to win 20 or 19 or 18 games?

It’s fun to model the whole year so it looks like the whole year (with 20 game winners and guys with 50+ homers) but it also means being wrong more often and by a larger amount, which doesn’t do anyone playing our game much good.

My projections are based on regressions of historical data modified by a few factors, the biggest one being age, combined with a different set of rate calculations, all of which are combined with a mechanical estimate of times at bat. I then go in and adjust based on probably changes in playing time and assessments of talent that don’t seem to be reflected in the projection. I call this tweaking, and it makes the boring regressions a little more lively and the overall correlation of the projections a good bit higher.

Then I scale everything so that the top 400 players projections are similar in total to the top 400 players actual stats. But the extremes in each stat just aren’t there, because the leaders in all categories usually change from year to year.

Thanks for writing,
Rotoman

Ps. I would not bet my life savings on the accumulation of any counting stat in a year when the Basic Agreement between the players and owners expires.

Rotoman!

You also have the MLB HR leader with 39 home runs.
When was the last time NOBODY hit 40 home runs?

“GFB”

Dear Go:

One of the byproducts of the system is that the AB of regular players are reduced about 10 percent off their usual peaks, with a similar reduction in the other stats. So all the guys who would project to 43 homers end up at 39 or 38.

The reason the AB get reduced is because about 10 percent of expected AB from year to year are lost to injury or other problems. This doesn’t happen evenly, but it happens consistently. There are two ways to handle this. One would be to ignore it and give all players their full measure of AB and stats. The other is to scale the pool of projected stats to the actual stats that will be produced by the pool.

I do the latter, because it gives a more accurate assessment of how groups of players perform on the year. The other looks better when everyone stays healthy, but since they never all do my method measures as more accurate.

Peter