Today we'll have a quick look at what tRA can tell us beyond pitching.
Since calculating tRA requires expected outs and expected runs, we can utilise these figures to look at defense - in this case to check whether a missed play on defense is really worth the 0.8 extra runs we expect.
Determining xR-R and O-xO for the entire league... tells us nothing, because the resulting errors are tiny (which is good for tRA, but not good for what we're trying to do). Instead, we'll take the absolute value of xR-R and O-xO for each pitcher in, say, the AL last year, and sum that instead. We can then divide the two values and see how close we get to 0.8.
xR-R: 783.9926
O-xO: 978.7843
(xR-R)/(O-xO) = 0.80096
Well that's kinda neat.
6 recs | 21 comments
So I take it you both used different methods and arrived at the same answer?
Last Fan Of Jose Lopez - July 9, 2008
No, I only used tRA and arrived at the commonly accepted answer
Graham MacAree - July 9, 2008
Sorry that's what I meant
Last Fan Of Jose Lopez - July 9, 2008
Ah, I misread your comment
Graham MacAree - July 9, 2008
In case people don't know, the value of 0.8 runs per out/play came from Tango.
And while, I don’t have the actual link anymore, here was his explanation of the concept:
Matthew - July 9, 2008
This was the sum of abs(pt_1) + abs(pt_2) ... + abs(pt_x) correct?
and do you think there’s any value to trying to apply the tRA application to a non-ML pitcher?
seattlebruin - July 9, 2008
Yes to both
You’d just need to adjust run and out values for different leagues if you wanted to apply tRA to the minors, and that’s tricky because PBP data is hard to come by
Graham MacAree - July 9, 2008
I think it's possible
Just get whatever Sackman uses/used to create minorleaguesplits and use that database for this purpose.
The tough thing would be coding the bot to grab the PBP stuff from MiLB.com’s ‘recaps’ – but in this case, I think that’s already been done.
They MAY have run values over there, though I didn’t see it on a quick look a year or two ago when I was trying to create WPA charts for the Rainiers… may have been added, though.
Out values…yeah, good luck with that.
marc w - July 9, 2008
We know how to calculate everything from scratch if it comes to it
Graham MacAree - July 9, 2008
Oh, I know.
Just hoping there are shortcuts is all….
marc w - July 9, 2008
I think Matthew is able to automate it all given the PBP data anyway
Graham MacAree - July 9, 2008
I think that's one of the job requirements for data ferries
Last Fan Of Jose Lopez - July 9, 2008
Yeah, that's what I'm worried about
I was going through the 23K game and discovered the SDSU actually has a play by play of every single game, which would allow you to get a fairly good look at Strasburg’s LD/GB/FB/IFB ratios – obviously you’d be guessing on the hits, but you could probably re-create some of that from the recaps. The only thing is that you would have to re-create the run values for (probably the MWC), which would obviously be very very difficult.
seattlebruin - July 9, 2008
I put in Strasburg, assuming league average LD/GB/FB rates
He had a tRA of like 0.7
Graham MacAree - July 9, 2008
Heh...
my project is going to be to go back through and try and re-create his season, making educated guesses to hits and such (you can tell in a lot of cases from the PBP).
seattlebruin - July 9, 2008
I can't believe I wrote "apply the tRA application"
that’s a God damn Jim Street phrase
seattlebruin - July 9, 2008
Yay authors. Good stuff today.
Aaron Campeau - July 9, 2008
Agreed
Too bad my mind is blown.
RafaelCarmona22 - July 9, 2008
I know.
All of this is great info, but my brain is starting to hurt. Great work though guys!
Thingray - July 9, 2008
Is manually calculating league numbers for this a bitch?
I may consider doing something similar for the minors if it’s feasible.
Gomez - July 9, 2008
Yes
Graham MacAree - July 9, 2008
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