-
PattonandCo.com: Talk Baseball Players NowProjecting X is Mike Podhorzer's excellent description of how he makes his very successful player projections. You can learn more about it at projectingx.com.
Category Archives: Data
More Fun With Monthly Charts and Starting Pitchers
So, the “trusted” hurlers who fail in the first month bounce back some of the way afterwards. They don’t continue to be so dismal, thank goodness. But what about the guys we didn’t trust that much in the first place? This chart shows the 15 starters who had the worst (more…)
Posted in Data, Looking Back, Prices
LINK: Month X Month Pitcher Volatility
Last year I started calculating month x month 5×5 values, in large part to see how much the plus-value pools of hitters and pitchers varied from month to month. When Ron Shandler debuted his monthly games last July there was another application for this information. Ron has published a piece (more…)
Are Component Pitching Measures Leading Indicators?
I don’t want to dwell on this too much right now, because it will take a lot more work to tease out more meaningful results. And lots of work has been done elsewhere (this is a good place to start), that does a far more comprehensive job than I’m taking (more…)
Posted in Data, Projections, Stat Projections
Comparing a Mixed Auction to a Mixed Draft
I’ve always counseled that a draft list should be ordered by auction prices, but also pointed out that in a draft you don’t have the opportunity to get any player you need if you have the money to spend. Timing is key in the draft game. So that each pick (more…)
BASICS: How To Value A Counting Category
An Ask Rotoman reader asked how to value some of the new categories his league is adopting. Rather than cruft up the answer to his post with technical stuff, I’m laying the basic steps out here for reference. All quantitative categories that value more work the same way, though it (more…)
Posted in Basics, Data, Prices, Projections
You Look Very Very FAABulous! (Part 3, Tradeoffs of Mike and Phil)
Slicing the Hypothetical Standings Another Way. Looking at one league and drawing conclusions is obviously fraught with issues. An N=1 is inherently unreliable as evidence, but digging deep into the stories in one league can help us identify issues that deserve further exploration. For instance, at the end of Part (more…)
Posted in Data, FAAB, Free, Hypotheticals
You Look Very FAABulous! (Part 2, pitching)
The Pitching side of the Tout Wars NL 2013 Hypothetical Standings In the first part of this comparison of the Hypothetical Draft Day Standings and the End of Season Standings in Tout Wars NL, we saw that Tristan Cockcroft finished in first place, even though he bought the fourth-best team (more…)
Posted in Data, FAAB, Free, Looking Back
You Look FAABulous! (Part 1, hitting)
Counting Last Year’s Free Loot in Tout Wars NL On March 25, 2013, the Tout Wars NL draft was held in the studios of SiriusXM radio in New York City. Nationally-known fantasy writers and experts auctioned teams for a roto-style league that has been running since 1998. If all the (more…)
Posted in Data, FAAB, Free, Projections
$ Return By Position in 2013
I thought it would be interesting to take a look at what we paid for each position last year, and what the guys we bought earned. This is back of the envelope stuff, in part because of the relatively small samples at each position, plus the vagaries of position elgibility. (more…)
Top 10 Most Misunderstood Fantasy Baseball Concepts: #9 The 65/35 Split. Part 2.
If you would like to catch up with the first part of this discussion read this. So, hitters and pitchers each earn half the fantasy value in a league, but on auction day we pay the hitters close to 70 percent of the money and pitchers a tad more than (more…)
Posted in Data, Free, Prices, Top 10 Misunderstood
You must be logged in to post a comment.