MadduxFanII
Swallowed by Mark Bowman
What a horrible experiement that was
Hey, when you have an opportunity to awkwardly shoehorn Vinny Castilla into your lineup, you have to do it.
What a horrible experiement that was
I don't mean be assholish; I'm just being honest. If you tell me you aren't going to bother to understand the think you are criticizing, I don't expect your criticism to be very well grounded. That's true about basically anything.
I was basically ridiculed by a lot of you. Labelled a Luddite, called an old man, told that I shouldn't use stats if that's how I read them, told that my suggestion of discounting would be bad science, and, by Meta, told that I didn't know what I was talking about and should shut up.
I was basically ridiculed by a lot of you. Labelled a Luddite, called an old man, told that I shouldn't use stats if that's how I read them, told that my suggestion of discounting would be bad science, and, by Meta, told that I didn't know what I was talking about and should shut up.
In my research, I ran across this conclusion in an article by John Dewan on FieldingBible.com:
Estimating Runs and Wins
One thing we want to do in the future is translate these plus/minus numbers and all the other defensive metrics we have in this book into one number. That might be a number similar to Runs Created, but for defense not offense. Maybe it’s called Runs Prevented. But between you and me, you can use the rule of thumb that Bill James used in his article on Derek Jeter and Adam Everett.
That is, use a number a little less than half of the plus/minus number as an estimate of runs prevented. Since the value of a single is a little less than half a run, you can use a “little less than half” of the plus/minus figure to estimate runs prevented. Adam Everett’s plus/minus figure of +33 could be estimated as preventing about 15 runs. Then using another rule of thumb that estimates the value of a win at 10 runs, Everett’s defense generates an extra 1½ wins for the Astros in 2005. Since the Enhanced Plus/Minus System also factors in the value of extra bases, and each extra base is worth somewhat less than a single, you might use an even lower value (.20 for each plus/minus, perhaps?) for the difference between the Enhanced value and the Basic value. Since defense is not an exact science, however, I would suggest that using half and rounding down for both Basic and Enhanced Plus/Minus is close enough as an estimate. After all, it’s not horseshoes or hand grenades.
So, guys, if John Dewan suggests discounting the stat at 1/3 to 1/2 its raw weight, will you consider his proposal?
I understand what Mr. Fielding Bible is suggesting. What he's stating is that that particular metric exaggerates the number of runs prevented. He's suggesting a potential fix. I personally disagree with his method of arbitrary weighting since better, more accurate methods are possible (such as regression analysis)
The main issue with this(at least for me) is that we have a clear understanding of how many runs a player generates on offense. He drives in 100 runs and scores 100 runs. Thus, he has created 200 runs. We can see that.
Now you're just being an asshole. Why are you so vested in this?
Gerardo Parra, 2013. Also find it interesting that he's worth 4 dWAR that year, then he's minus the next year. How can I possibly figure out what to spend based on that? At $9m a WAR in ***y this off season, he was worth $36m for defense alone that year! And now he's negative? I overpaid!
He wasn't that good then and he isn't that bad now.
He do splay.
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That's not what he's saying. He's saying this metric measures plays, not runs. Thus, if you want a measure of runs saved, you will need to convert those plays to runs. DRS (and WAR) already do this.
But Meta, the year referenced in Mr. Dewan's article - 2005 Adam Everett - he refers to Everett's plus-minus as plus 33. Then he suggests discounting the impact to a little less than half, 15 runs, and suggests 1.5 dWAR is a fair approximation of Everett's impact.
When I look at Everett's actual dWAR for 2005, I see that it is 3.3. Help me understand.
That's not what he's saying. He's saying this metric measures plays, not runs. Thus, if you want a measure of runs saved, you will need to convert those plays to runs. DRS (and WAR) already do this.
That's fair. I misinterpreted that. It still seems though that he's using a pretty crude measure to convert the number of plays into runs.
Not to steal from Meta or anything but on baseball ref's page it actually shows Everett that year as having 25 DRS in 2005. So of those +33 plays he saved roughly 25 runs comapred to the average shortstop. Not the half Dewan was suggesting but it is discounted. As for as why Evertt showed a dWar of 3.3 that year. dWar jsut isn't DRS divided by 10. The positional dificulty gets added in as well which for shortstops is +7. And the amount of runs per win in a given season is always different. Thus the 25 DRS + 7 positonal ranking equals 32 comes out to a dWar of 3.3. So why it's close to 10 it's not exact and is generally used as a rough estimate.
...but none of that is 15. You're saying its discounted, but nowhere near as much as the author of the stat says it should be.
So somebody has to cull through each of those plays and determine a run value to whether it was made or not made? 76% of fielders make that play, a medium speed ground ball in vector 17. It is worth .004 runs, so he gains .0031 runs. 24% of fielders make that play, a hard liner in vector 21. It is worth .006 runs, so he loses .0014 runs.
Is that how it works?
It seems like we're assigning a high degree of specificity to something that really doesn't have as much specificity as we attribute to it.
That ball will be halfway to 1B before most SS could get to their feet.He do splay.
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But Meta, the year referenced in Mr. Dewan's article - 2005 Adam Everett - he refers to Everett's plus-minus as plus 33. Then he suggests discounting the impact to a little less than half, 15 runs, and suggests 1.5 dWAR is a fair approximation of Everett's impact.
When I look at Everett's actual dWAR for 2005, I see that it is 3.3. Help me understand.
That's fair. I misinterpreted that. It still seems though that he's using a pretty crude measure to convert the number of plays into runs.
...but none of that is 15. You're saying its discounted, but nowhere near as much as the author of the stat says it should be.
So somebody has to cull through each of those plays and determine a run value to whether it was made or not made? 76% of fielders make that play, a medium speed ground ball in vector 17. It is worth .004 runs, so he gains .0031 runs. 24% of fielders make that play, a hard liner in vector 21. It is worth .006 runs, so he loses .0014 runs.
Is that how it works?
It seems like we're assigning a high degree of specificity to something that really doesn't have as much specificity as we attribute to it.