Pitcher Value: Do More Team Wins Lead to More Pitcher Wins?

Aug 20

Pitcher Value: Do More Team Wins Lead to More Pitcher Wins?

I mentioned on my last post that I listen to a lot of podcasts. Two days ago, I listened to a recent edition of the BS Report, in which, Bill Simmons interviewed Brian Kenny of MLB TV. Although, I do not necessarily agree with the binary tone that Kenny takes towards certain issues, I understand why he does it. That this is his character in the media — the die-hard sabermetrician to the end. Bill Simmons pressed Kenny about his belief that there is no value in “wins” as a statistic, and Kenny did not give him an inch. Kenny debunked any value of the statistic, as any person that is analytically inclined would do. Kenny and Simmons’ conversation led me to wonder about the idea of the win where it pertains to a recent conversation that has taken place in Fantasy Baseball: pitchers that get traded from a loser to a contender. You’ll hear around the Fantasy community, as most recently with Matt Garza going from theCubs to the Rangers and Bud Norris going from the Astros to the Orioles, that pitcher value will rise  when a player moves to a better team because he can get more...

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Position Depth: How deep is QB, RB, WR, TE, DST and K?

Aug 12

Position Depth: How deep is QB, RB, WR, TE, DST and K?

I listen to a lot of podcasts. I listen to these podcasts to pass the time and fill my head with information while I go through the monotony of everyday tasks: cooking, cleaning, driving, and doing the dishes. For me listening to podcasts is a passive activity, which allows me to gain the mental stimulation one derives from being in a conversation, without actually participating in a conversation. On one of the podcasts I listen to, I heard a pundit proclaim that analysts in the Fantasy community have gone overboard with “running back is shallow/get your running backs early” mantra. And, I thought, have we? The point of this article is to look at the position depth in Fantasy Football and answer the question, have we gone too far with the running back mantra? How can we analyze position depth? As way a to explain a difficult concept, allow me to develop a metaphor. Say, Derek and Ryan each hook up five girls in one week. We will use the classic one-to-ten scale as a way to ascribe value to the appearance of the ten girls. On average, the physical appearance of the girls Derek swoons is on par with the girls that Ryan attracts; the mean appearance of both sets of girls is five. But, average does not tell you the whole story. At face value the girls Derek and Ryan have hooked up with over the last week appear to be of the same stock, but the standard deviation of the girls Derek hooked up with is higher than the standard deviation of the girls Ryan hooked up with. Standard deviation is the measure of how spread out a data point is from a data set’s average; the more spread apart the data, the higher the standard deviation. Put another way, the girls that Ryan hooks up with are closer to fives than the girls Ryan hooks up with. Let’s look at the chart: We will skip the fundamental debate of “which group is better,” because it is a matter of preference,* and it is not relevant to this conversation.  What is not a matter of preference is that, if you were to take a girl out of...

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