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Without even registering, you can see a few players that we talk about. The salary scans are for standard 4x4 Rotisserie leagues. The three different bids are for the three most common leagues, explained in more detail in the Glossary.
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Here are the last ten comments made by our members:
He's right to have the M on the HOF plaque (I thought it was an ELB for my entire childhood, misguided as I was). Carter spent 12 years (and played 1503 games) with the Expos. He played five years (and played 600 games) with the Mets, and obviously he faded at the end of the NY stint.
Davey Johnson hit Carter fourth for most of the 1986 season, which explains the RBI count (Carter also had a .280/.373/.457 line with men on base, with more walks than strikeouts).
RIP, Kid. May we enjoy what we do even half as much as you did.
The question is, does my way get better results?
Overall, I'm sure it doesn't. Players do regress as a group and hence a system that emphasizes regression will do better case by case.
But do we care about the majority of players who cave in towards the middle?
Or do we care about the players who are on the edges, both directions?
The answer to that is clearly YES, so the next question is, can we identify them?
Second question being, can we identify them better with bids or projections?
Alex doesn't make projections because he knows the type of projections he likes, those that take chances, are occasionally strikingly right and usually daftly wrong. That's the nature of predicting outliers. It's good fun, it's show biz, but it isn't going to help you pick winners consistently.
Naturally, after I introduce the rule change last season, I finish last and am left trying to figure out which 7 out of 10 potential keepers to actually keep.
Kid, you'll be missed. I still think the hat on your HOF plaque should be NY, not ELB or whatever that ugly Expos logo said.
Peter thinks projections should regress, bids should take chances.
I think bids should regress, projections should take chances.
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