Seasons are simulated a million times using a Monte Carlo method, the percentile performance of player projections and estimates of roster construction. There are other bits of mathematical nerdery involved (linear algebra for the win!), but I’m sure you want to get down to the results, so here we go.
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1. Eugene FreedmanBrian Bocock ss 25 .188 .255 .245 107 400 51 75 15 1 2 39 35 123 9 8 35
This is a glorious projection and your wants would deny me it, so bully to you.
Anyhow, I doubt either Sean or Dan would strenuously object to someone making detailed depth charts and reprojecting their numbers based on that. It's just not what they're personally trying to do.
This is also the problem that Dan and Sean have with them as well, so you are echoing what the creators of those systems are saying.
Fantisitcs apparently is a person or persons that creates playing time forecasts. They did a better job, apparently than the Crowdsource from my Community Forecast project last year.
In my Forecasters Challenge last year, ZiPS, MGL, Steamer and Marcel all used the playing time forecasts from the Community, and they all ended up in the top third of the 22 systems (essentially competing with themselves frankly).
What we also see is that the playing time forecasts are more important than the rate forecasts (for fantasy baseball anyway).
So, I would highly recommend going with Chone or ZiPS on rate, and then going to the Fangraphs playing time forecasts, or Fantistics.
This should pretty much be the best you can hope for.
You want to use your own depth charts with these projections, be my guest.
I have created a spreadsheet for people who want to do their own team record projections. Check it out. I strongly encourage you to form your own team W-L projections. Spreadsheet link in the text at the bottom of that page.
That's helpful to know about the PA projections. Looking at them in a vacuum, they almost seemed like hopes or based upon age based/career line projections. They may be the latter, but if they're regardless of level, then they make sense. The only problem becomes projecting distribution. But, that's not computer based.
Only 2 years of history, so probably too soon to include it with the systems that have been around longer.
That said, I'd trust it over Pecota any day.
Kind of confirms what Darrell Huff wrote in one of his books. Since nobody really expected projections to be accurate, Gary Huckabay got more credit for a few surprisingly accurate projections than Clay did for a generally more accurate set.
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