No joke, we do have a new PFM/depth chart update hot on the charts.
We do have one occasionally significant change to the data (besides players changing teams, like Julio Lugo). Something in the last week got out of whack on the pitcher's games pitched and games started, as a result of which a bunch of pitchers were listed as "Swing" pitchers even though we were projecting them to be full-time starters. I'm not sure how it got that way, but it has been corrected.
While I was fixing that, I also took the opportunity to drive some changes in how we handle starters and relievers. The ERA (and other stats) from PECOTA come with estimates for games started and relieved. Generally speaking, a pitcher working in relief will be able to strike out a few more hitters, give up a few less hits, and produce a better ERA and WHIP than he can while starting. Some rough estimates of that have been present in the mondo spreadsheet that puts together the depth charts, but we haven't carried those changes into the PFM output – until now.
The effects of the changes are probably best illustrated by looking at one pitcher, and there's no better example really than Joba Chamberlain.
Run PECOTA normally 40 games, 28 starts, 138 ip, 4.59 ERA, 1.45 WHIP, 8.0 K/9
Run PECOTA in relief mode 55 games, 20 starts, 123 ip, 3.88 ERA, 1.40 WHIP, 9.7 K/9
With new adjustments 63 games, 0 starts, 65 ip, 3.52 ERA, 1.35 WHIP, 10.0 K/9
There are internal safeguards in the main PECOTA program that inhibit really drastic changes; primarily, these are error checks, but in the case of a pitcher changing from starting to relieving (or vice versa) it prevents you from eliminating all the starts (or all the relief appearances). This manual fix works, but the longer goal will be to get the main program modified to handle this without breaking down. The "normal" line reflects Chamberlain's forecast up until the point he lost the fifth starter competition to Phil Hughes; the relief mode calculation is what you'd find in the PFM for the last week, until today (and still shows that way in the unadjusted section of the Pecota spreadsheet); the last line is what you'll find in today's PFM. The differences will be largest for those making the largest role changes – Chamberlain, Hughes, C.J. Wilson, Neftali Feliz, off the top of my head.
Enjoy!
PS – Jorge Cantu, back to mere mortal status.
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Why is it that when I set up a league with 10 teams and 23 players per team (default positions), the PFM prices 253 players (23 * 11) instead of 230? 148 hitters, 105 pitchers. The total money spent is $2,611.32, which I am willing to assume is within a rounding error of $2600, but...
- Mike
I do think there is a more substantial problem in the long-term stats, which I have not yet been able to identify, that tends to ratchet an above-average or below-average fielding rating into much higher absolute values.
Dan
And, along those lines, Chris Johnson needs some PFM love ... me thinks ...
In years past, percentage of innings in relief (or maybe it was percentage of innings as a starter) appeared on the PECOTA spreadsheet - but as you say, it is percentage of appearances this year.
Any reason why almost every player is projected to be above average defensively -- both for 2010 for for 10-year projection? It never looked like this in past years.
Can someone from BP address the seeming defensive rating inflation in this year's PECOTA cards? It's not a subtle change.
Mejia is also getting 50 innings now, and many of the concerns for Leake (being an unproven rookie generally means a short leash) hold for him. In his favor is the chaos in the Met bullpen.
I did do the "Bookmark This Page" thing so I wouldn't have to re-enter my league's keepers, and re-ran the PFM, and neither Leake nor Mejia are showing up. Maybe I need to start from scratch (i.e., re-enter my league's keepers and salaries) to make Leake and Mejia show up in the PFM?
Sorry to follow up one dumb question with another - thanks for your help!!
But the Annual has him projected at a 4.45 era / 1.42 whip.
What might possibly explain such a difference in rate stats?