Interview with Jin Wong, Director of Baseball Administration for the Royals (Part 2)
Part 1 of the Interview with Jin Wong
How many employees are devoted to the Royals statistical department?
I have 2 guys I manage, Mike Groopman and John Williams. Both very, very bright guys; very, very good guys in terms of baseball statistical analysis. They would be our stat think tank. We three have basically brainstormed many days and many nights about statistics and our own proprietary things and have come up with some metrics that we believe give a lot of insight into players.
What are the main stats the Royals use for evaluating pitching?
I think you need to look at everything. For me, FIPS is pretty good. I like strike rates, walk rates, strikeout to walk ratio. Home run rates. I like WHIP a lot as a quick and dirty. I understand that it is defensive dependent, but that along with what we have internally .... sort of meld those to get a complete picture of what a pitcher is.
For hitting?
We have a internal system, similar to the pitching system, that we rely heavily on, probably more so than the one for pitchers. I used to be, and still am, a big OPS guy. Isolated on base. Isolated slug. Run created, even though that is an older metric. It is a quick and dirty [metric] for me. If the strikeout rates are way high, it is an indicator of potential issues.
Has this changed since you first started working for the Royals?
Yes, I would definitely say so. I look at more statistics now than I ever did. We constantly talk about the value of certain statistics and whether or not we need to place more weight on this or that certain statistic. I think right now I am very happy with the blend of whats available to everybody and whats available internally and how we combine them into an analysis.
What possible changes with the new collective bargaining agreement do you see having the largest effect on the Royals?
It is hard to tell. A lot of rumors, innuendos out there about what is going to be in the CBA. There is certainly some draft reform that will be interesting to see. There is the possibility of us losing a pick this year for a Bruce Chen's type-B free agency. That would affect us most in the short term; if we were to offer Bruce arbitration. We have to wait and see what comes out of the wash here. Everyone is hopeful that it will happen pretty soon.
I think there is a question about type A compensation. It certainly cuts both ways. If type A compensation goes away, we would be in better position to sign those players. Quite frankly, we don't want to give up a pick to sign a player because we need to draft smartly and develop our own players internally. But it cuts the other way. If you have a lot of type A guys, you don't get those picks. It's a give and take.
Why are mutual options given to players?
I am not sure why guys are fixated on it. Mutual options are certainly a way to give the player a little more control over his situation. For example, say you are a player we are trying to sign. You only want to sign for one year. We want an option. To meet in the middle, we say, "Why don't we make it a mutual option". You control a little bit of your own destiny as you have the escape hatch for a subsequent year. We also have control over it as well.
Let's say we exercise your option. That shows we have interest in retaining you. If you declined that side of the option, it is an easier dialog to keep going, to get something done. Additionally, there may be some money to throw in the buyout to make the guarantee total higher. That is the reasoning behind a mutual option. It is to give you more control over your own destiny and give the club some control.
What is the real story behind the Ramon Ramirez trade to Colorado for Jorge de la Rosa or Valerio de los Santos?
If I remember correctly, since it was quite a while ago, it was 2 separate trades, but it was cash considerations that completed the Ramon Ramirez trade.
The Royals had a Pitch FX system installed in the AA affiliate in NW Arkansas. What type of information has the Royals got from that data?
We are still in the early stages of analyzing the data. We have only had it for a year. It is only available when the team is at home, so it is not a whole season of data for all the players. The good thing is that we get data for the opposing team coming in. It is a very limited amount of data. Maybe one or two starts for a guy coming in from another organization. We do share with all the other organizations that have minor league Pitch FX systems. Pitch FX is basically the back bone of our proprietary pitching analysis system we have created.
Is there any plans to expand the Pitch FX systems to other minor league affiliates?
We are talking about it. We budgeted for it this year. We have to sit down and see if the benefits out weigh the costs. I would to put one in AAA or even at high A.
What is the one piece of useless information do you know about Dayton Moore that the public does not?
I don't know if there is any useless information. Dayton is a great guy to work for. He is a very warm individual. He has a great sense of humor. And he loves his sweater vest.
What do you enjoy doing that is non-baseball related?
I have a six-week old boy that I love spending time with. My wife, my boy and I live in the suburbs here of Kansas City. Our lives revolve around baseball. It is a lifestyle we have chosen. There is a lot of benefits to it. Also, it keeps us away from our families for a long time. It is certainly part of the deal. We like to hang out at home and spend time with the kid. We are home bodies. We don't do anything crazy.
One a lighter side, when, not if, Hollywood makes a movie on the Royals, who will play you?
Let's cross that bridge when we get there.
I would like to thank Jin for his time and hopefully we will have more interviews with the Royals staff in the future.
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The Royals
not signing Gordon to a multi-year contract.
How can we go wrong?
"On the last day of your life, don't forget to die."
- David Berman
Great work Jeff
What does he mean when he says that Runs Created is an older stat than OBP and ISO?
Runs Created Was
An idiot stat of runs plus RBI’s, or something like that.
I used to be an A's fan until they left town and got good.
by philofthenorth on Nov 21, 2011 12:10 AM EST up reply actions
Yeah, not sure what he meant by Runs Created
Bill James came up with a “Runs Created” stat that was a precursor to batting runs above average. It worked all right but was kind of clumsy to use since the runs were above zero instead of average or replacement.
Dayton has mentioned a “runs plus RBI” stat, though.
Bill James RC
At least the original, “quick and dirty” version is time on base times total bases divided by plate appearances. So something like ((H+BB+HBP) x TB)/(AB+BB+HBP). I don’t think the original version actually included HBP, but that would be easy enough.
Baselineing against zero can be solved somewhat easily, but if I was going to make fun of something in this interview, this would be one of them. Why? Because a good version of RC isn’t any easier to use than a linear weights formula. Moreover, it is a dynamic run estimator, which is okay for “entities” like teams and leagues, but should not be applied to individuals, since Barry Bonds can’t get on base for himself. Finally, and perhaps funniest given the Royals, is that one of the problems with Runs Created is… wait for it… that it undervalues walks relative to other events. Between that and the preference for OPS, the MIke Jacobs is starting to make more sense.
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by Matt Klaassen on Nov 21, 2011 8:35 AM EST up reply actions 1 recs
Yeah, he didn't mention wOBA
I’d guess that was just an oversight, but who knows.
It would have been just as easy for him to say wOBA as OPS
But he said he’s “an OPS guy.” I think that means something. He’s at least a few years behind the curve.
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by Scott McKinney on Nov 21, 2011 10:31 AM EST up reply actions
I got the impression that the in house metric is very close to wOBA
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by Jeff Zimmerman on Nov 21, 2011 10:32 AM EST up reply actions
I hope so
What did he say that led you to that conclusion. And if you’re on top of statistical developments that happened over the last 3-5 years, then can you still be “an OPS guy?”
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by Scott McKinney on Nov 21, 2011 10:34 AM EST up reply actions
Or he might use wOBA all the time
But he failed to mention it in this interview. As a clearly intelligent guy who spends a big chunk of his life thinking about baseball stats and is aware of what the sabermetric community is doing (as evidenced at least by his having read the Hosmer study), I really really really doubt that he doesn’t understand wOBA.
I know there’s a gut reaction to discount a person’s intelligence/awareness 10 points because they’re in the Royals FO, but if I told you that I knew a smart guy whose job included analyzing baseball statistics, wouldn’t you expect him to be up to date on baseball statistics?
I know there’s a gut reaction to discount a person’s intelligence/awareness 10 points because they’re in the Royals FO
I’m sorry, but that’s crap. I don’t do that.
but if I told you that I knew a smart guy whose job included analyzing baseball statistics, wouldn’t you expect him to be up to date on baseball statistics?
Yes, I would have expected that. His answers didn’t really show that. Jin is a traditional baseball guy who eventually got into statistics, and now that is one part (among many) of his job. It doesn’t look to me like he’s gotten on top of the latest advances in sabermetrics (including some pretty basic ones).
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by Scott McKinney on Nov 21, 2011 10:50 AM EST up reply actions
Wrong
I don’t think the people in the Royals FO are stupid. I think they don’t don’t take advantage of the advances in sabermetric research enough, and/or that they do it poorly. I think this leads to some bad moves. Is being critical of their process the same as calling them stupid? You can do better than that, blueeyesaustin.
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by Scott McKinney on Nov 21, 2011 1:00 PM EST up reply actions
I tried to be broad with my language
I think what you’re talking about falls under the ‘awareness’ category.
But I understand that you’re saying you evaluate them based on what they say and do, and that you don’t have a pre-established bias.
unless you are under 18 years old everyone is a traditional stat guy who eventually got into sabermetrics
Proud Founding Memeber of the UPAMTN Fan Club.
by la flama blanca on Nov 28, 2011 10:43 PM EST up reply actions
Yeah, it's not necessarily a big deal
they wouldn’t have to say “wOBA” either, it could be any form of linear weights as a counting or rate stat.
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by Matt Klaassen on Nov 21, 2011 10:34 AM EST up reply actions
I would also let them have control of it.
If it was me, I would have wOBA extremely weight to my home park to find players that may do best there, but not so good in other parks.
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by Jeff Zimmerman on Nov 21, 2011 10:37 AM EST up reply actions
that wouldn't be a matter for the hitting metric
as much as adjusting component factors in the projections
Making watching baseball as fun as doing your taxes.
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by Matt Klaassen on Nov 21, 2011 10:38 AM EST up reply actions
Later, more complex versions
While they also had flaws, were much closer in walks. If you do comparisons using RC and linear weights you will find walks have about the same weight. If you run them against the average outcome, you will get a similar result as well. In the end James’ formula tends to skew a little high, in large part because he really overvalues singles. (The walks, and extra base hits compare much closer.)
I don’t know why people think it stands for runs + rbi’s. They must be fantasy players.
"Trying is the first step to sucking" -Jimmy Chance
the above was a reply
to the runs created comments.
"Trying is the first step to sucking" -Jimmy Chance
later versions also aren't "quick and dirty"
this is getting away from the Royals, but I would say if you want a dynamic estimator for leagues and teams or establishing linear weights, use Base Runs. Then for individuals, use linear weights (derived empirically, from a model like Base Runs, or whatever).
Making watching baseball as fun as doing your taxes.
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Before getting tweaked, read up on regression.
by Matt Klaassen on Nov 21, 2011 10:40 AM EST up reply actions
old guys like myself
who were using this before linear weights formulas were everywhere,and before I even had a computer, I used it often enough that it became “quick and dirty”. (I can still remember all the values from memory now, 20 years later, even though I use other methods-that may make me sick in the head ) I doubt that a young guy like Jin falls into that category though.
"Trying is the first step to sucking" -Jimmy Chance
well, even a mathematical moron like me manges to remember linear weights
so I am not all surprised that someone who actually has a brain can remember the exact formula for third-generation RC or whatever.
Making watching baseball as fun as doing your taxes.
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Before getting tweaked, read up on regression.
by Matt Klaassen on Nov 21, 2011 11:50 AM EST up reply actions
rec for this pickup
it undervalues walks
Kila's slash for Apr 20 to May 4, 2011, right before he was sent down: .276 / .344 / .448
by SagehenMacGyver47 on Nov 21, 2011 4:46 PM EST up reply actions
You said you were putting this up Monday...
How can I ever trust you again.
Your 2010 Royals Review Fantasy Football Keeper League Champion
Since 2005: Royals win% = .4100, Chiefs win% = .4095
by averagegatsby on Nov 20, 2011 10:50 PM EST reply actions 1 recs
Sorry to disappoint.
It was done, so it went up.
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by Jeff Zimmerman on Nov 20, 2011 10:55 PM EST up reply actions
One of my favorite things ever done on Royals Review...
Your 2010 Royals Review Fantasy Football Keeper League Champion
Since 2005: Royals win% = .4100, Chiefs win% = .4095
by averagegatsby on Nov 20, 2011 11:01 PM EST up reply actions
WHY DID YOU TEAZE US FOUR SO LONG WHY DID YOU KNOT JUST PUT IT UP IMMEDIATELY YOU ARE SHELLFISH I HATE THIS SITE YOU ALL ARE BUTHEADS
by KyleM on Nov 21, 2011 12:58 AM EST up reply actions 2 recs
imitation of???
A) Rangers fan
B) Royals Facebook fan
C) Cardinals fan
D) Yankees fan
I am the one who knocks.
I am guessing a commenter from the previous thread
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by Jeff Zimmerman on Nov 21, 2011 9:25 AM EST up reply actions
Rhymes with?
![]()
Glad I came, just wish I hadn't stayed so long.
Rock Chalk Talk
by Warden11 on Nov 21, 2011 9:34 AM EST up reply actions 1 recs
souffle?
Kila's slash for Apr 20 to May 4, 2011, right before he was sent down: .276 / .344 / .448
by SagehenMacGyver47 on Nov 21, 2011 4:53 PM EST up reply actions
Phatt!
What rock have you been hiding under?
I'm waiting for my wave of talent to arrive.
by mitchfreakingmaier! on Nov 21, 2011 11:23 AM EST up reply actions
I loved this article and there were some great questions and answers
But I took away one major detail from this article… Dayton loves a sweater vest
I was born into the Purdue and Miami family, became a Jaguars fan after moving to Jacksonville and adopted the Royals as my baseball team.....All of my teams are kinda bad....
by tiquanunderwear on Nov 20, 2011 10:56 PM EST reply actions
This Will Be
The title of a sitcom om Fox in 2013.
I used to be an A's fan until they left town and got good.
by philofthenorth on Nov 21, 2011 12:12 AM EST up reply actions
Dayton Loves A Sweater Vest
starring
Jason Bateman
Justine Bateman
Master Bateman
Crooow Is Drunk
"On the last day of your life, don't forget to die."
- David Berman
by Crooow on Nov 21, 2011 12:55 AM EST up reply actions 5 recs
I'm so DVR'ing this.
I'm waiting for my wave of talent to arrive.
by mitchfreakingmaier! on Nov 21, 2011 11:23 AM EST up reply actions
Great job getting this interview
Really cool, definitely hope there are ore to come i the future.
I loathe David Glass
Does That Exist?
I used to be an A's fan until they left town and got good.
by philofthenorth on Nov 21, 2011 12:13 AM EST up reply actions
I think he meant weighted on base average?
Go Royals!
if "isolated" OBP is anything like isolated slugging
it would be OBP minus batting average. Looking at walk rate would be easier, but maybe it is easier to explain to Dayton that a player is “a .300 hitter plus .050 points for isolated on-base.”
Minus Polk Points
I used to be an A's fan until they left town and got good.
by philofthenorth on Nov 21, 2011 2:25 AM EST up reply actions
and plus hands
I'm waiting for my wave of talent to arrive.
by mitchfreakingmaier! on Nov 21, 2011 11:24 AM EST up reply actions
Yes, it's exactly like ISO but for OBP.
I’ve never seen it listed anywhere, and I’ve never actually heard it called anything except with descriptive words like “difference between BA and OBP.”
I like it because it gives you a more exact picture of a guy’s on base skills than just seeing BA and OBP and doing a quick estimation in your head. But since I’ve been doing that quick estimation for a while now, I have an idea of what are good isolated OBP numbers. It’s not much more useful, but could be used to emphasize things—like if you have 2 players with no power and you want to compare them based on how well they get on base aside from hits. Like say, Gregor Blanco and Chris Getz.
if by "isolated on-base" he means OBP-BA
then, yeah, people use that in your head, but if I was going to nit-pick a great interview with a guy who is obviously trying to give quick answers, this is almost up there with “Runs Created” and OPS. It’s really not that much harder to get than just doing BB/PA (walk rate), which is more indicative. Because, you know, OBP-BA is sort of a senseless stat, mathematically speaking, as they have two different denominators.
Making watching baseball as fun as doing your taxes.
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Before getting tweaked, read up on regression.
by Matt Klaassen on Nov 21, 2011 8:40 AM EST up reply actions
unlike ISO power, where the denominator in both cases is AB
Making watching baseball as fun as doing your taxes.
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Before getting tweaked, read up on regression.
by Matt Klaassen on Nov 21, 2011 8:41 AM EST up reply actions
This is a pet peeve of mine
The different denominators don’t matter. They’re both expressed in decimals, and in this case, they’re both expressed in thousandths. They’re reduced to the same denominator before they’re subtracted.
sure
it’s still a weird thing to say when talking about good statistics
Making watching baseball as fun as doing your taxes.
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Before getting tweaked, read up on regression.
by Matt Klaassen on Nov 21, 2011 10:35 AM EST up reply actions
Meh
Isolated OBP is basically walk rate + HBP rate. If someone wants to get a figure for walk rate + HBP rate, I’m not going to judge how they do it.
If someone wants to get a figure for walk rate + HBP rate, I’m not going to judge how they do it.
Because methods are equal? If someone is quickly dashing off a comment on a blog and uses that quick and dirty method, fine. But if you’re the head SA guy for a MLB organization, you should be using the best metrics, right? Not just something which is kinda sorta in the ballpark.
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by Scott McKinney on Nov 21, 2011 10:43 AM EST up reply actions
Let me ask you this
What’s the difference between HBP rate + BB rate and OBP – BA?
And what makes the former better than the latter?
I think that there are some data which will give you different results using the two methods. It’s like of like OPS vs. wOBA. OPS is pretty good. In comparing different players, OPS is going to give you similar results to wOBA. But that doesn’t mean that you should just stick with OPS because it’s pretty good.
You may know me as NYRoyal.
by Scott McKinney on Nov 21, 2011 10:52 AM EST up reply actions
No, mathematically, what is the difference?
Do you know, or do you just have a strong opinion?
I have a weak-to-moderate opinion.
You may know me as NYRoyal.
by Scott McKinney on Nov 21, 2011 10:56 AM EST up reply actions
No problem
And I wasn’t crunching any numbers there, just going by feel, to use McClure’s term.
You may know me as NYRoyal.
by Scott McKinney on Nov 21, 2011 11:00 AM EST up reply actions
The answer is that there are real (tho not large) differences, and that which stat is better depends on what you're looking for
BB rate + HBP rate will give you a % of PA’s that a batter reaches base by BB or HBP, and can be combined with H/PA (which we don’t have a name for as far as I know) to get OBP (more or less).
OBP – BA gives tells you about how often a batter reaches base by BB or HBP and can be combined with BA to get OBP.
Which is better depends on what you want. I’d probably use BB rate and HBP rate more often. But as long as the user understands exactly what the stats mean, they can use whatever they want.
Am I the only one greatly concerned that only 3 guys do the stats?
What would be the harm in hiring a few more guys from blogs and pay them chump change? Would this water down the analysis? Or make the guys making the higher salary squirm?
I am the one who knocks.
I am not worried.
I don’t think it takes that many people to do the work they need, as long as they’re good at their job. The only benefit I could see is having more people to bounce ideas off of, but then again, they’re probably reading all of the saber-centered blogs so there are plenty of ideas floating around.
What I do hope is that they are paying their 3 stats employees a decent salary.
Yeah...I kind of agree...
I would just think so much money pumping through a pro sports organization, one would think that a whole stat committee with weekly presentations would be needed, kind of like where everyone has the same power and then the 3 at the top decide together based on the info. I guess there is a point where it gets too saturated, but one thing I have found from analysis for fantasy purposes is that I don’t listen for who a commenter hypes, but rather how they do it. If they like a guy and are grasping at air, I immediately change my opinion.
For example:
Commenter A: “I really like this MU basketball team in the tourney, if they can get anything out of Kim English, who has been a sleeping giant, they can go far. They are my sleeper pick.”
Commenter B: “You’re right Jim, English hasn’t given what MU needs, and the tournament is the perfect place for him to shine.”
My thought, “Have you guys even watched the games? I don’t catch many and can see English clearly hurts the team every time he is on the floor (this is a 2011 example). He is sloppy and single-handedly given up games for MU.” So I picked them to bow out early rather than a sleeper.
Well, not really a clear example, but I would just think with that much money on the line, it wouldn’t hurt to throw another hundred grand or two at a good team that can help you avoid Maueresque contracts.
I am the one who knocks.
No, you're not the only one
Statistical analysis is a great way to spend relatively little money get a lot of bang for your buck. Having two statistical analysts and one director (who does many other things, and therefore can only devote so much time to SA) is going cheap and not giving SA its due. SA is a big potential resource for an organization, and a cheap one. Spending some more money on SA is like spending more in the draft. It’s something that small market teams really need to do, because it’s something they can afford to do and do well.
You may know me as NYRoyal.
by Scott McKinney on Nov 21, 2011 9:49 AM EST up reply actions
do we know how many guys the other more stat friendly organizations have working on stats?
do we actually know that they are being cheap? i dont know the answer to that but maybe theres something out there
Fire Everyone
by billybeingbilly on Nov 21, 2011 11:03 AM EST up reply actions
I think I’ve heard of significantly larger stat operations in other organizations, but I don’t have any links. But I think they are certainly spending much less than they should. For $500K, they could have one of the best SA departments in baseball. And that’s less than they spend on a few mid-round draft picks. That’s cheap and easy. I think small market teams should do cheap and easy things that give them a lot of bang for the buck.
You may know me as NYRoyal.
by Scott McKinney on Nov 21, 2011 11:07 AM EST up reply actions
Yea, I thought for most teams it was just one or two guys.
Usually free-lancers or consultants.
Relive Royals History at royalsretro.blogspot.com
by RoyalsRetro on Nov 21, 2011 11:57 AM EST up reply actions
These all sound like stats guys for the Rays. (I'll look at a more ordinary team next.)
James Click
Director, Baseball Research and Development
Brian Plexico
Architect, Baseball Systems
Rob Naberhaus
Developer, Baseball Systems
Joshua Kalk
Baseball Operations Analyst
Matt Hahn
Assistant, Baseball Operations Systems
Peter Bendix
Assistant, Baseball Research and Development
Shawn Hoffman
Assistant, Baseball Research and Development
Kila's slash for Apr 20 to May 4, 2011, right before he was sent down: .276 / .344 / .448
by SagehenMacGyver47 on Nov 21, 2011 5:01 PM EST up reply actions
Cleveland
Keith Woolner
Manager, Baseball Research & Analytics
Jason Paré
Assistant, Baseball Research & Analysis
Sky Andrecheck
Baseball Analyst
Mike Harris
Data Architect
Kila's slash for Apr 20 to May 4, 2011, right before he was sent down: .276 / .344 / .448
by SagehenMacGyver47 on Nov 21, 2011 5:03 PM EST up reply actions
one minute you're the premiere of Ontario
the next you’re a Data Architect slaving away 100 hours a week in Cleveland. The bigger they come…
Making watching baseball as fun as doing your taxes.
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Before getting tweaked, read up on regression.
by Matt Klaassen on Nov 21, 2011 5:05 PM EST up reply actions
totally agree...
I’m a big believer that any team can only compete two basic ways: outspend or outsmart, and since the Royals aren’t equipped or willing to outspend, they are left only with being smarter. Seems like this would be one of the ways to do that, so it’s a missed opportunity if it’s not.
Ha. If I were Wong and I wanted some ideas or even some answers to some statistical questions, I bet I could get them for free in droves if I asked for them on RR. Stuff like, “Hey bloggers: How would you rank these five free agent pitchers, and how long would you be willing to sign each of them? Discuss…” He wouldn’t have to use it, but I’d bet it would be a pretty exhaustive brain-storm session. Issues really get hashed out and considered from a lot of critical points of view, here, and I think there would be things to come out of it that wouldn’t have been considered, otherwise. The Royals might as well focus our attention on something the FO is actually interested in.
If women only slept with nice guys...guys would only be nice. And they don't. And we're not.
by setupunchtag on Nov 21, 2011 11:03 AM EST up reply actions
When Kevin Pritchard was the Blazers GM,
he supposedly would frequently go on message boards and anonymously comment.
Gentlemen, you can't fight in here. This is the war room!
by KeepItCopacetic on Nov 22, 2011 12:44 PM EST up reply actions
I'm sorry
that I made stupid posts because I just read the first and 2nd I will now say that I am committed to and 100% in love with http://www.royalsreview.com/
"On the last day of your life, don't forget to die."
- David Berman
holy sh!t
for real…….I’m an ass and I apologize, Jeff.
This is some great, great stuff.
"On the last day of your life, don't forget to die."
- David Berman
Excellent work
Let’s hope Jin can talk Dayton out of paying $1.5 million for a veteran backup catcher and invest that money in more pitch f/x for the minors.
Runs created. Christ.
How about not going with a “quick and dirty”, ever? I mean, when is it valuable for professional analysts to go with a quick-and-dirty for anything? Wouldn’t knowing more always be better, in literally every situation? And if that isn’t possible, would it maybe be a good idea to bring in more/better people?
I love the reference to internal metrics as well. “We have these awesome metrics we use. Can’t tell you how they work, but we’re the Royals, so you know they’re good.”
C. Montgomery Hunt: One of the greatest heroes in American history.
uhh...do you see the red sox and the rays spelling out their proprietary metrics?
why would you go through all the work to develop them only to give them away in an interview with a blog?
Fire Everyone
by billybeingbilly on Nov 21, 2011 1:29 AM EST up reply actions
LOL
I’m sure everyone is looking to steal statistical analysis techniques from the Royals
C. Montgomery Hunt: One of the greatest heroes in American history.
you have absolutely no idea what they're doing...how good/bad their metrics are...
but keep making dumb jokes about it if that is what entertains you
Fire Everyone
by billybeingbilly on Nov 21, 2011 1:33 AM EST up reply actions 3 recs
I do know he just listed runs created as an actual stat that they use
When someone is using RBI+runs to analyze a player, do you think that might give us a hint as to their statistical prowess?
Or we just assume their metrics are good? We’re not supposed to use the mountain of evidence to the contrary to make an educated guess?
C. Montgomery Hunt: One of the greatest heroes in American history.
by big matt on Nov 21, 2011 8:35 AM EST up reply actions 2 recs
That’s not runs created. It’s what Moore called ‘runs created’ in a radio interview. I doubt that’s what Wong was referring to here.
Are you sure? I’m not. He uses WHIP to evaluate pitchers.
You may know me as NYRoyal.
by Scott McKinney on Nov 21, 2011 10:35 AM EST up reply actions
He uses WHIP as a quick and dirty
and he caveats it by acknowledging that it’s a defense dependent stat. He also states that he uses numerous other factors in evaluations including his own proprietary method, and they meld those stats together to get a complete picture. It seems you’re ignoring a lot of his positive statements to reach your conclusions.
And using WHIP even as a quick and dirty is a mistake
You shouldn’t evaluate a pitcher based on WHIP at all. The biggest component of that stat is hits allowed and you really shouldn’t use anything to evaluate a pitcher that relies on the hits they allow.
I’m not saying that his statistical evaluation of players is worthless and that they always do a horrible job. My conclusion is that they are not on the cutting edge of SA and are probably 5+ years behind the times (at least in some ways). I actually think they are doing some things which are very modern and may be right on the cutting edge. But it appears that some of his thinking is pretty backwards.
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by Scott McKinney on Nov 21, 2011 11:03 AM EST up reply actions
Wow
you really shouldn’t use anything to evaluate a pitcher that relies on the hits they allow
This is the kind of thing that old school people use to make fun of stat people. There’s been some great work done on defense-independent pitching stats, but to rule out hits allowed as a tool for evaluating pitcher is way too far through the looking glass for me.
by KSinDC on Nov 21, 2011 12:50 PM EST up reply actions 3 recs
Certainly not raw hits allowed, as it is in WHIP or H/9
And perhaps nothing beyond that. Perhaps.
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by Scott McKinney on Nov 21, 2011 1:01 PM EST up reply actions
Have you had a chance to read my article last week at BP?
Pitchers do control whether they allow hard contact or not. The problem with hits/BABIP is that they are a crude way to measure hard contact because they include a fair percentage of bloopers. But pitchers absolutely do have a skill around preventing hard contact.
So while WHIP isn’t all that great, neither is the DIPS family of stats.
by Mike Fast on Nov 21, 2011 12:55 PM EST up reply actions 1 recs
No, I haven't read it.
So you’ve debunked DIPS?
But pitchers absolutely do have a skill around preventing hard contact.
This has been a subject of debate for a long time in the sabermetric community. Do you think your research has ended it? Your use of “absolutely” is quite strong. Is it warranted? I think in the past you’ve come down pretty hard on people for making absolute statements like that, as being bad sabermetrics.
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by Scott McKinney on Nov 21, 2011 12:58 PM EST up reply actions
But we've always known that pitchers have something to do with what happens to balls in play
And I’m not saying that you’ve found out nothing new or that you’ve not broken any new ground. The theory behind DIPS, as you know, was not that pitchers have nothing to do with hits, but that they have little to do with it. And stats like WHIP and ERA include so much defense and things outside the pitcher’s control that they shouldn’t be used to evaluate the pitcher because it doesn’t isolate what he actually did.
But your research is certainly important to how we weight things like LD% and the value of metrics that include them (like tERA).
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by Scott McKinney on Nov 21, 2011 1:03 PM EST up reply actions
I would say that my research indicates
that DIPS metrics (FIP, etc.) are just as broken as WHIP.
That doesn’t mean that FIP and WHIP have no value, just that neither one is completely accurate about what the pitcher did. And they are roughly equally inaccurate.
Did this get much discussion at The Book Blog?
I’ll go look this up myself, but I thought I’d ask here. And did people like Tango, Lichtman and others agree that your research eviscerated DIPS?
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by Scott McKinney on Nov 21, 2011 1:08 PM EST up reply actions
Tango did talk a little bit about it at the Book blog
Presumably there will be more discussion when Part 2 comes out tomorrow.
And it’s not that DIPS has been eviscerated, per se, it’s just that it’s been shown to be missing a large and important chunk of reality.
Well, if it is not true that pitchers have little control over what happens to balls in play, then it has been eviscerated. If you’re saying that pitchers have some control over what happens to happens to balls in play because they have significant influence over how hard a ball is hit, then you’ve tweaked DIPS in an important way. But I certainly wouldn’t say that this tweak means that shows DIPS to be as flawed and inaccurate as WHIP. That sounds like a major overstatement. And there are DIPS metrics like tRA and tERA which take batted ball data like LD% into account. Are they also as flawed as WHIP?
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by Scott McKinney on Nov 21, 2011 1:19 PM EST up reply actions
After reading your article, it doesn’t appear that you came to the conclusion that DIPS is horribly flawed and as inaccurate or as of low evaluative value as WHIP, or really said anything like that. You did a great study which provided extremely valuable information with regard to the influence pitchers have over over hard contact. But it’s a significant step from that to your conclusion in this thread that DIPS metrics are as broken and inaccurate as WHIP.
Also, from reading through the discussion of your article at The Book Blog, it doesn’t appear that anyone else was making that leap or assumed that this was your conclusion. I think it is safe to say that DIPS metrics should be tweaked and improved based on your research. But to say that they are as flawed as and of similar value as Walks+Hits/IP is hyperbole at best, in my opinion.
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by Scott McKinney on Nov 21, 2011 1:31 PM EST up reply actions
From what I could tell--and don't quote me on this--Mike's study didn't focus on WHIP
So it’s not all that surprising that nobody picked up on the WHIP vs FIP aspect of the results.
Jokes aside, WHIP assigns pitchers too much responsibility for their BABIP-against, and FIP assigns too little. You could probably engineer a study to figure out which one is more wrong, but why would you? It would be interesting to figure out how much a pitching metric should credit pitchers for their BABIP-against, and I suspect Mike’s already working on that.
The point is that likening DIPS stats to WHIP was hyperbole of a particularly high order.
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by Scott McKinney on Nov 21, 2011 3:25 PM EST up reply actions
It seems to me that you don't know that for a fact
And that you’ve picked an argument with an expert that has spent years studying how pitchers control batted ball results…..
And he’s shown that they have significant influence over hard hit balls. I didn’t see anyone else in the discussion of his study (which does not state the DIPS conclusion he makes here) at the Book Blog, including Tango and others jump to the conclusion he’s sharing with us.
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by Scott McKinney on Nov 21, 2011 3:39 PM EST up reply actions
To answer the other part of your question
Yes, I think my research should do away with the speculation that DIPS means that pitchers don’t have much control over the quality of contact. They have a lot of control, and I believe I established that quite clearly.
As far as it what it means for what is the best way of evaluating pitchers, that’s still a very open question.
Except that you still shouldn’t use WHIP.
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by Scott McKinney on Nov 21, 2011 1:03 PM EST up reply actions
It's fun to equate things that don't equate
“Whip has weaknesses and DIPS stats have weaknesses, so they are both equally inaccurate!” No. Really, no.
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by Scott McKinney on Nov 21, 2011 3:26 PM EST up reply actions
Or maybe they're more similar than you realize
Let me know when you figure out exactly how much a pitcher is responsible for his BABIP-against.
So until we know exactly how much a pitcher is responsible for his BABIP, we know nothing about the meaning of WHIP and DIPS metrics?
Because everyone who has been involved in the development of DIPS stats has recognized from the beginning that we don’t know that with any certainty. So do you thus conclude that DIPS stats have been a waste of time and that they are either meaningless, or that we really have no idea how much meaning they have at all? And, of course, the same goes for WHIP? Because when you say “hey for all we know WHIP and DIPS stats may be equally inaccurate or equally meaningful,” that is exactly what you’re saying.
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by Scott McKinney on Nov 21, 2011 3:44 PM EST up reply actions
I couldn't quite understand what point you're trying to make
But allow me to clarify my own position.
WHIP gives pitchers 100% credit for their BABIP-against. FIP gives pitchers 0% credit for their BABIP-against. Both of these are likely wrong.
WHIP includes useful information that FIP throws out. Hell, you could probably improve FIP by mixing it with some weighting of WHIP. You wouldn’t because there are better ways to improve FIP, but looking to WHIP for information is no more incorrect than looking to FIP for information.
but looking to WHIP for information is no more incorrect than looking to FIP for information.
Why? Because anything that isn’t perfect or has weaknesses is equally weak? It seems like you’re saying because we don’t know exactly how much control pitchers have over BABIP, then it’s all just a crap shoot and no metric (DIPS or something like WHIP or H/9) is better than another.
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by Scott McKinney on Nov 21, 2011 4:14 PM EST up reply actions
I’m guessing that your argument is that you suspect that pitchers should get something like 20% (arbitrarily chosen) of the credit/responsibility for their hits allowed, and that since 20% is closer to 0% than it is to 100%, FIP is better than WHIP.
If that’s your argument, okay. I don’t see why you’d throw out either since you’d be better off just understanding both and why they’re each limited. But I’ll move on.
If that’s your argument, okay.
Yes, and that is my argument because the research supports it, even with Fast’s recent addition.
I don’t see why you’d throw out either since you’d be better off just understanding both and why they’re each limited
Because WHIP is likely to be so far off that the data is unreliable as a measure of the pitcher’s performance or talent.
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by Scott McKinney on Nov 21, 2011 4:24 PM EST up reply actions
Thanks for weighing in
I’m a huge fan of your work, and when our discussions hit the trickier parts of pitching statistics and/or pitch f/x, it’s always nice to hear from someone with your level of expertise.
Your whole comment is wrong.
I would say I disagree, but it’s much more than that.
First of all, a quick and dirty could be useful in situations where there is a trade and the other team gives the Royals a list of 5 players they can pick one from as a PTBNL. They go scout them and have pretty much decided who they want (because they’re minor leaguers and there are all sorts of reasons scouting would be more valuable that stats) but they want to get a quick and dirty of what the player has actually done. Maybe they want to hedge their bet a little and go with a guy who has at least figured out how to have success against his peers. Who knows… the point is, stats aren’t going to be all that important because they’ve had a scout out there to see the player, so they may want a quick look at a favorite stat.
Second, I would second everything billybeingbilly said.
Along with my first point… there are many other situations where a quick and dirty would be useful. Maybe they want to compare a Royals player coming up on arbitration with another player in the league who attained arbitration last year. To get a quick idea of how that player performed, take a quick look at the proprietary stat.
OK
But what I’m saying is, why would you ever stop there? Even in your listed scenarios, is it better to go with a quick and dirty, or better to go a little deeper? Even when you’re talking about a PTBNL, wouldn’t deeper analysis always be better? Every time? Or would runs created be the way to go there?
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You stop there because
You’re looking at hundreds of players. It’s a poor use of resources and time to go to 20 decimal places for every player, especially when you have all the scouting reports and extra especially when you’re talking about minor leaguers for whom a quick and dirty will usually suffice (with the support of scouting info). Ex: player x looks good and his stats are roughly supportive of our scouting take.
by billexgordler on Nov 21, 2011 8:40 AM EST via mobile up reply actions
But if time is really the issue
Couldn’t you simply hire a few more entry level number crunchers and tell them what to do? I mean, that seems like something interns could do if given instructions.
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And its not like there aren't a ton of freely available metrics on MLB players
I mean, I have Fangraphs bookmarked . I hope they do.
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By "isolated OBP" and "isolated slug" does he just mean OBP and Slug?
C. Montgomery Hunt: One of the greatest heroes in American history.
isolated slug
is Slugging Percentage minus Batting Average, which essentially takes singles out of the equation and gives you a better idea of the player’s actual power. It is a legit advanced stat.
How Does It
Weigh sac flies and hitting behind the runner?
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by philofthenorth on Nov 21, 2011 2:29 AM EST up reply actions
Bang up job, Jeff!
I noticed that a certain phrase in a certain email was left out, unfortunately…
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I took Matt's advice
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by Jeff Zimmerman on Nov 21, 2011 6:33 AM EST up reply actions
Clearly, you were not concerned with embodying the common man
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by Old Man Duggan on Nov 21, 2011 9:34 PM EST up reply actions
Or my Navy roots.
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by Jeff Zimmerman on Nov 21, 2011 10:48 PM EST up reply actions
Excellent stuff
You think the Royals may become more open to giving the fans information, or is this a one-shot deal and then they’re going to ban Rany again?
"All the boys think she's a guy
She's got crazy Frenchy eyes."
I will see when I ask again.
- .-. ..- … – / – …. . / .—. .-. - .. . … …
by Jeff Zimmerman on Nov 21, 2011 7:37 AM EST up reply actions
Yeah, see if you can talk to the trainer or the scouting director
or the third-base coach or Mitch, who probably has plenty of spare time. There’s really no reason for them to block access, since if you asked a question they didn’t want to answer for national security reasons, all the interviewee has to say is “Off the record, can’t talk about that right now. You mind keeping this quiet?” And it’s smart business for them to provide that access, because it creates Internet buzz about the Royals.
Nice job with the spell-check this time. Transcribing is a bitch, as I well know. Perfect punctuation as well.
"All the boys think she's a guy
She's got crazy Frenchy eyes."
Jin is not big on subjects and has an 'huh' about every 10 words.
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by Jeff Zimmerman on Nov 21, 2011 10:28 AM EST up reply actions
Well done, Jeff and Mr. Wong
Nitpicking aside (and like I said, he was just dashing stuff off in an interview), it was a nice conversation (although he’s recycling the sweater vest joke from a few years ago with Mellinger). I hope more interviews like this can come out in the future.
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Before getting tweaked, read up on regression.
Great job Jeff
And kudos to Jin for making himself available. Very cool insight.
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This doesn't fill me with optimism that that the Royals are doing a lot of really good statistical analysis
I’m not here to bash Jin Wong. I’m sure he’s a great guy and a very good baseball man. But I don’t think it’s a great sign that the man who directs the Royals statistical analysis isn’t exactly on the cutting edge of sabermetrics. In fact, it kind of sounds like he’s 5-10 years behind the curve. “FIPS”? Using HR rates and WHIP to evaluate a pitcher at all (even in a quick and dirty way)? OPS? It’s one thing for some fan to rattle off OPS because they haven’t quite gotten the hang of wOBA. But the guy who runs a MLB organization’s statistical analysis shouldn’t be using superannuated metrics. It makes me wonder and worry about what their proprietary metrics are.
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Five years behind the curve
is a hell of a lot better than the Allard and Tony days. At least they’ve heard of OPS, which is good enough for me. Shows they’re using something besides RBI. And I just bet they have an intern who reads Fangraphs who they’re smart enough not to completely ignore.
Scott, I think you may be making the error that second language teachers made for hundreds of years. They constantly searched for what Prof. Henderson at KU used to call the “One True Way” that would make second language learning simple for adults. They tried techniques like grammar-translation, audiolingualism, task-based learning, the direct method, and whatever. Each bunch of these people claimed to have the One True Way before being shot down by the rest of the professionals. What turns out to work the best is some kind of mix of all the old methods, picking out the good parts and discarding the disproven parts.
(Bad joke: While I was getting my master’s in linguistics at KU in ‘93-’94, the theorist de jour was Stephen Krashen, who was an idiot and couldn’t even write good English. He was on his way out, and one of the courses, something like LING 740 or whatever, was nicknamed “Krashen Bashin’.”)
I’m happy enough that they’re not using BA and RBIs and pitcher wins. As for the rest of the stats, well, they’re not sophisticated metrics or anything, but if OBP and SLG suggest a guy’s a good hitter, he probably is.
"All the boys think she's a guy
She's got crazy Frenchy eyes."
Better than Allard and Tony is…..well, better than Allard and Tony. But being better than awful isn’t necessarily where you want to be. It’s a nice step in the right direction, but it is far from where they should be.
I have absolutely no idea what you mean looking for the “One True Way.” I think a front office should do everything it can to have the very best in scouting and the very best in statistical analysis. Clearly the Royals have worked hard at the former. It doesn’t appear that they are working hard enough on the latter. They are behind the times, and it would be too hard for them to catch up if they really wanted to. They can afford to have one of the best SA departments in baseball. I think they should. Is that some unattainable “One True Way”?
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by Scott McKinney on Nov 21, 2011 10:31 AM EST up reply actions
I think you're looking for the "One True Stat"
when really a mixture of all of them, from OPS to BB/K to wRC+, is likely to be the best way to judge players.
"All the boys think she's a guy
She's got crazy Frenchy eyes."
Not looking for one true stat at all
You always have to use a mix of a bunch of stats. But when a stat has been improved upon, you don’t keep using that stat. When you have wOBA, you shouldn’t be looking at OPS. Really, OPS adds absolutely nothing. Now, should you look at OBP and SLG? Certainly. But OPS takes you in the wrong direction by putting OBP and SLG at the same value, which is a big mistake. And WHIP simply shouldn’t be a stat which is used to evaluate any pitcher, ever. And his use of “FIPS” instead of “FIP” concerns me, as I think he may not really be very familiar with that stat.
So my concern was that he was using some poor, outdated stats. And I think that’s a problem.
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by Scott McKinney on Nov 21, 2011 12:52 PM EST up reply actions
It's not like they have to calculate
these stats for each player by hand. You write the algorithm once into whatever system you’re using and then let it spit the number out at you. Referring to these methods for calculating stats as quick and dirty just makes me think there’s some guy with a spreadsheet who’s entering these formulas by hand everytime Dayton wants a new report.
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by RoyalsRetro on Nov 23, 2011 11:28 AM EST up reply actions
Polk points
"All the boys think she's a guy
She's got crazy Frenchy eyes."
Agreed that there's not one true way to do a job
Advanced stats have flaws too and I’d rather have Jin and a group of smart guys discussing and analyzing what the stats actually mean than have a room full of paper-pushers who just look up the latest info.
by Loose Seal on Nov 21, 2011 10:32 AM EST up reply actions 3 recs
Somehow
I think it does not matter what Mr. Wong said in response to questions about how the Royals use statistical analysis, it was not going to suit some people on this board.
by Rufus R. Jones on Nov 21, 2011 10:55 AM EST up reply actions 2 recs
That's crap
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by Scott McKinney on Nov 21, 2011 10:57 AM EST up reply actions
No it's true
What’s truly ironic is that you’re a lawyer and don’t really understand statistics at all.
by BlueEyes_Austin on Nov 21, 2011 1:03 PM EST up reply actions
Good lord. Ok, austin, thanks for playing. Some of us were having a real discussion here.
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by Scott McKinney on Nov 21, 2011 1:04 PM EST up reply actions
Careful about letting an ad hominem view cloud your judgement
If Fangraphs says they’re looking at HR rates when evaluating pitchers, we think “oh, I wonder what they’re coming up with that will provide better analysis?”
If Royals FO says they’re looking at HR rates when evaluating pitchers, we think “oh, what a bunch of nincompoops who don’t understand the unreliability of HR data.”
He didn’t say enough to really provide us with much to go on – be it to criticize or to laud. Sure, we think we know their SA track record, but we didn’t actually learn that much more here.
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by SagehenMacGyver47 on Nov 21, 2011 5:20 PM EST up reply actions
I just saw a bunch of things there that don’t really sound like good, state of the art statistical analysis. I don’t think those things can easily be explained away. If somebody told me that the head SA guy of Team X was talking about how he likes “FIPS” and uses WHIP to evaluate pitchers, and that he’s an “OPS guy”, I would be very concerned about the quality of SA in that organization.
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by Scott McKinney on Nov 21, 2011 6:41 PM EST up reply actions
I don't think that's a fair way to characterize the interview
Also, I don’t think I’d make a big deal of “FIPS”. It was a transcribed interview. He might not have even added the ‘S’. And if he did, he probably mispoke, crossing FIP and DIPS, which tells you that he sometimes mispeaks. It doesn’t tell you that he doesn’t understand FIP.
I'm fairly certain that the cutting edge of statistical analysis is not where MLB teams should be.
mostly because the cutting edge is often wrong. i think it’s incredibly valuable that there are folks working at the cutting edge, but the nature of the cutting edge is that for every real leap forward there are scores of false leads. my own opinion is that 3-5 years behind is precisely where MLB teams should be, because that’s about how long it takes to determine whether a stat is incrementally more useful than what had been used.
further, the vast majority of a team’s transactions involve minor leaguers for whom using and applying to the “best” and most up to date statistical analysis provides a vanishingly small advantage. for any minor league player getting the scouting right is far more important than using the most up to date offensive or pitching metric. as for major league talent, using the “best” metrics likely provides more relative value than for minor leaguers, but I still think that the marginal difference between last year’s and this year’s best metrics is quite small, particularly considering the variation in player performance on a year to year basis.
i’m not moved at all by complaints that the Royals might not be using one’s own favored metrics. i think the bigger potential issue is that the metrics that they are using don’t have a strong enough pull on the organization. which metrics they are giving what weights is a fun academic discussion and a discussion in which well-informed and smart people can reasonably disagree. what’s not debatable is that these metrics need to be used to help inform the decision-making process at all levels.
by billexgordler on Nov 21, 2011 11:44 PM EST up reply actions 4 recs
It's true crap
and it’s my opinion, so it can be crap.
by Rufus R. Jones on Nov 21, 2011 11:01 AM EST reply actions
There were some real red flags in his answers. They are worthy of interpretation and criticism. And I think the criticisms are fair. No one is saying he’s a moron who only uses batting average, HR, RBI and pitcher W/L. But several references made it look like he’s more than a little behind the times, when he’s in a job where he should be at the very forefront of advanced statistical analysis.
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by Scott McKinney on Nov 21, 2011 11:05 AM EST up reply actions
I'm not real sure
why they would even do this interview. I mean, I’m glad they did. But they have nothing to really gain by doing it. And it is very doubtful they feel the need to keep us updated on their decision-making processes or what goes into the decisions. That would include any data analysis.
I think the interview (which Jeff did a great job with, BTW) was most likely granted simply for PR purposes- to extend a handshake to a pretty vocal, critical group of fans. And that’s fine, if that is important to the Royals. If I were them, it would not be to me. The implications that Mr. Wong made that the Royals FO is reading internet blogs to get info for their personnel decisions, to me, is pretty doubtful in its reality.
by Rufus R. Jones on Nov 21, 2011 11:12 AM EST up reply actions
The implications that Mr. Wong made that the Royals FO is reading internet blogs to get info for their personnel decisions, to me, is pretty doubtful in its reality.
While there is a lot of crap in blogs, there’s also some very good original research. And I’m not just or even primarily talking about Royals Review here. Smart FO’s peruse a number of sites to see what’s out there. Someone at Lookout Landing (the Mariner’s SBNation site) discovered that Felix Hernandez was doing something (I can’t remember what it was, like pitch selection or location or something) and the M’s front office publicly said they used that information to have Felix make a change. It happens. As Wong said, there’s good free, publicly available info out there, which needs to be utilized. A FO would be stupid to ignore it, especially when they don’t exactly have a huge SA department.
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by Scott McKinney on Nov 21, 2011 11:21 AM EST up reply actions
they absolutely should be at least perusing what is out there....
but i do not want the FO of my favorite team to come on a blog and say ‘who should we sign’
Fire Everyone
by billybeingbilly on Nov 21, 2011 11:29 AM EST up reply actions
Certainly not
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by Scott McKinney on Nov 21, 2011 11:31 AM EST up reply actions
That's kind of what I was getting at
I should have just said it like that. Thanks bbb.
by Rufus R. Jones on Nov 21, 2011 11:32 AM EST up reply actions
I could see that
I would just hope that they are very very selective in what they pay attention to. And, of course, we would all hope that they are gathering their own information and doing their own studies. But again, I don’t think they are going to fill us in on everything they do. Nor should they, necessarily.
by Rufus R. Jones on Nov 21, 2011 11:30 AM EST up reply actions
I would just hope that they are very very selective in what they pay attention to
Definitely. They would need to be good analysts who can recognize good research and weed out the rest. And no, I don’t think they need to tell us anything at all about what they are doing. I appreciate Jin’s openness here, but it isn’t a FO’s responsibility to tell fans anything. I think their only responsibility is to put a good team on the field.
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by Scott McKinney on Nov 21, 2011 11:33 AM EST up reply actions
I somewhat agree with Rufus
Jin has many responsibilities. The two guys he mentioned above are the guys that come up with what they use. I am sure they have their own metrics (Oh the Hubris! ) as well as a familiarity with the more up to date mainstream methods. Jin simply has to have a basic understanding of where they are coming from, and the confidence to ask them what their results are. (I.E. How many runs/wins of improvement would player A be over player B? What does that translate to in monetary value? Given our payroll, what does that translate to in monetary value for us? What players on team X show unrealized potential value? etc.)
2 guys working full time on these things is enough. IF they are the right two guys, and IF they have real input.
"Trying is the first step to sucking" -Jimmy Chance
I think I’d like the director of a 3-man operation to have some real expertise in the area. And it kind of seemed like from what he’s saying that the 3 of them are all involved in the statistical analysis. “We three have basically brainstormed many days and many nights about statistics…”
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by Scott McKinney on Nov 21, 2011 11:26 AM EST up reply actions
That may just be
Boss mentality. I cannot tell you how many times I have come up with, and completely fleshed out an idea, and had a boss use the Royal WE when he presented it further up the line. Or take credit for the idea and maybe say that I helped him out. It’s the way of the world.
"Trying is the first step to sucking" -Jimmy Chance
I think more importantly, the Royals need as many good minds with top of the field advanced statistical knowledge as possible. Two such men (if Groopman and Williams are such) and a director who can’t add much to the advanced SA isn’t close to enough in my book.
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by Scott McKinney on Nov 21, 2011 11:48 AM EST up reply actions
The Royals statistical analysis staff
Mike Groopman, Administrative Assistant for Baseball Operations
Mike Groopman was named Assistant to Baseball Operations in November, 2010 after serving the previous two seasons as Baseball Operations Administrative Assistant and as Baseball Operations Intern in 2008. Groopman assists in all areas of the Baseball Operations department, including Major League operations, amateur and professional scouting, and player development. Groopman also oversees much of the quantitative research and analysis for the department.
Before joining the Royals, Groopman served internships with the Cincinnati Reds Baseball Operations department in 2006, the New York Mets Baseball Operations department in 2007, and Major League Baseball’s Labor Relations Department prior to the 2008 season.
John Williams, Baseball Operations Assistant
John Williams was named Baseball Operations Assistant in November, 2010, after serving as the Baseball Operations intern during the 2010 season. In this role, he is responsible for providing support to all areas of the Baseball Operations Department and has significant involvement with the quantitative research and development of analytics for the department.
Before joining the Royals, Williams worked as a research assistant in the Political Science department at Yale University.
It doesn’t sound like either of these guys have statistical analysis as 100% of their job. And I wonder what kind of advanced stats background they have.
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by Scott McKinney on Nov 21, 2011 11:46 AM EST reply actions
The more I learn about who works in front offices
The more I think that had I pursued it more I think I could have landed a job. Looking back at my life I was kinda lucky to be in the right place at the right time to cross paths with people that could have helped me. But for whatever reason I thought it was a fanciful frivolous thing to pursue.
Relive Royals History at royalsretro.blogspot.com
by RoyalsRetro on Nov 21, 2011 12:00 PM EST up reply actions
There seem to be lots of guys who get internships and just work their way up through the ranks, even to very high levels (I think that’s Theo Epstein’s bio).
I’m just a little concerned that Groopman and Williams weren’t put into their SA roles because they were gifted advanced statistical analysts with a deep and thorough knowledge of sabermetrics, but because they were good, hard working guys in the organization who they thought could “learn on the job” or something like that.
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by Scott McKinney on Nov 21, 2011 12:04 PM EST up reply actions
What do you consider statistical analysis?
These guys all have what I would consider very typical job responsibilities for stats guys in front offices.
Mike Groopman, btw, was at Baseball Prospectus in the 2005-2006 time frame.
I'm willing to define it broadly
Groopman assists in all areas of the Baseball Operations department, including Major League operations, amateur and professional scouting, and player development. Groopman also oversees much of the quantitative research and analysis for the department.
I don’t think that first sentence includes statistical analysis. I think the second does.
In this role, he is responsible for providing support to all areas of the Baseball Operations Department and has significant involvement with the quantitative research and development of analytics for the department.
I think the first clause deals with non-SA and the second deals with SA.
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by Scott McKinney on Nov 21, 2011 1:07 PM EST up reply actions
Most club stats guys
take information from and give information to the scouting department, participate in decisions about roster moves, evaluate players from the minor leagues, provide recommendations about player valuations and contracts, work with the advance scouts with info going both directions, etc.
So you think their jobs are almost entirely SA
And everything else they mentioned was just getting information from other departments and giving info to other departments? Because that wasn’t how it was written. Perhaps they meant that and didn’t write it.
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by Scott McKinney on Nov 21, 2011 1:14 PM EST up reply actions
The job a of a full-time team stats guy
is centered around taking information from one group and giving it to another group, of course with value added in between.
The outside consultant may take more of the Tom Tango role where he just makes some models for ranking players or offers player valuations or gives advice on a strategic or tactical decision framework, but that’s not the typical role a full-time stats guy on a team, who is usually much more enmeshed in the operations and decisions of the team at many levels and in many aspects. Both perspectives/roles can be valuable, of course.
So you think when it says that Groopman is assisting in all areas of baseball operations including amateur scouting, they are actually talking about him getting and giving information with regard to stats to the guys scouting amateurs?
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by Scott McKinney on Nov 21, 2011 1:26 PM EST up reply actions
So what you do with the Royals is you take the statistical analysis and give it to the scouting department?

“Yes. Yes, that’s right.”
“Well, then, I have to ask, why can’t the stat guys just take the information directly to the scouts?”
“Well, I’ll tell you why…because the scouts are not good at dealing with the stat guys.”
“So you physically take the stats from the stat guys?”
“Well, no…my secretary does that…or they’re faxed.”
“So then you must physically bring them to the scouts?”
“Well…no, ah, sometimes.”
“What is that you’d say…you do here?”
by Sweep_the_Leg on Nov 21, 2011 1:34 PM EST up reply actions 9 recs
I'm spacing out.
I'm waiting for my wave of talent to arrive.
by mitchfreakingmaier! on Nov 21, 2011 3:32 PM EST up reply actions
Fixed...
John Williams, Baseball Operations Assistant
John Williams was named Baseball Operations Assistant in November, 2010, after serving as the Baseball Operations intern during the 2010 season. In this role, he is responsible for providing support to all areas of the Baseball Operations Department and has significant involvement with the quantitative research and development of analytics for the department.
Before joining the Royals, Williams worked as a research assistant in the Political Science department at Yale University.
And 59 Grammys.
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by averagegatsby on Nov 21, 2011 10:10 PM EST up reply actions
Is it possible the "quick and dirty" metrics
Were his way of avoiding getting into detail about the proprietary metrics they are supposedly creating and analyzing? I agree that using things like WHIP is troubling if it is actually given weight in decision making.
I wish I knew what they are trying/planning to do with Pitch FX and Field FX data. What kind of metrics could they create that aren’t already available? Would it be like some of the very good work posted here using Pitch FX data, for example?
Is it possible the “quick and dirty” metrics
Were his way of avoiding getting into detail about the proprietary metrics they are supposedly creating and analyzing?
Certainly. And I’m sure they get much deeper than just the stats he listed. But the stats he listed (even if they are merely his quick and dirty list) are problematic.
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by Scott McKinney on Nov 21, 2011 11:58 AM EST up reply actions
We have a saying in software development
The problem with quick and dirty is that long after the quick is gone, the dirty remains.
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by sfeldkamp on Nov 21, 2011 12:31 PM EST reply actions 2 recs
Can I just iterate how amazingly awesome it is that RR got this interview?
Major props to Zim and Jin. I would hate for the Royals staff to look at the comments here and think, “My God, what ungrateful animals!”
This is a big deal to me and just more validation of how amazing this site can be.
I am the one who knocks.
Good Freaking Lord
Where to freaking begin in this train wreck of a comments section.
First point I want to make regards communications. Specifically, translating knowledge gained through statistics (or any other arcane, technical procedure) into something that can be used to help guide decision making and operations. It’s absolutely no use coming up with the “best” metric if you have to spend a half hour explaining it every time you use it. If a commonly available metric is good enough for the purpose intended for God’s sake USE IT. If that is a “quick and dirty” measurement to pass out to the scouts and non-technical guys its a hell of a lot better than something that’s so complex it gets thrown to the bottom of the pile.
Second point I want to make has to do with the underlying assumptions between these supposedly more modern and reliable statistics. Take wOBA, for example. Let’s go look how Tom Tango describes it (http://www.insidethebook.com/woba.shtml):
“Those numbers are the values of each of our events (again, relative to an out, which now has a value of zero). If we apply these weights to the statistics of a league-average hitter, and divide by plate appearances, we end up with a rate of almost 0.300. This is a fairly convenient number for an average, but we can do better. Since we like OBP as a measure of a batter’s effectiveness, let’s scale our new statistic so that the resulting values are similar to OBP values. It turns out that, if we add 15% to this 0.300 figure, we get the league-average OBP. Therefore, we will add 15% to the weights of each event and define our new statistic as follows:
(0.72xNIBB + 0.75xHBP + 0.90×1B + 0.92xRBOE + 1.24×2B + 1.56×3B + 1.95xHR) / PA "
See what he did there? All of these putatively precise figures are rendered COMPLETELTY MEANINGLESS because he applied a 15 percent fudge factor that he pulled out of his ass. We used to call this measuring with a micrometer and cutting with an axe. Similar problems arise with the various WAR statistics and, especially, defensive measurements. In basic terms you cannot apply a “15 percent” fudge factor like that and then start expressing a statistic to three significant digits!
by BlueEyes_Austin on Nov 21, 2011 3:01 PM EST reply actions
Were you serious with that bit about wOBA?
Do you really think you’ve debunked wOBA and shown the values to be meaningless? Really? Would you like Tango’s e-mail so you can explain to him how he really doesn’t understand statistics?
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by Scott McKinney on Nov 21, 2011 3:05 PM EST up reply actions
The real issue is with the formula
Not the scaling. I should have focused on that.
by BlueEyes_Austin on Nov 21, 2011 3:37 PM EST up reply actions
How is that a "fudge factor"?
It doesn’t seem to allow for any “errors” or “variance” in the underlying data—it’s just an across-the-board increase. And how does it somehow render wOBA “COMPLETELY MEANINGLESS”? If anything, all it does is arbitrarily adjust all the numbers (both wOBA and each of the underlying component numbers) up by 15%. Which Tango apparently decided he wanted to do because he wanted to scale wOBA to OBP rather than BA.
I’m the furthest thing from an advanced stats guru you can get, and even I can see that was an absolutely ridiculous statement.
by Sweep_the_Leg on Nov 21, 2011 3:13 PM EST up reply actions 1 recs
All of these putatively precise figures are rendered COMPLETELTY MEANINGLESS because he applied a 15 percent fudge factor that he pulled out of his ass. We used to call this measuring with a micrometer and cutting with an axe. Similar problems arise with the various WAR statistics and, especially, defensive measurements. In basic terms you cannot apply a "15 percent" fudge factor like that and then start expressing a statistic to three significant digits!
mmmmm…..no.
wOBA is meant to be compared to other wOBA, so it doesn’t matter how you scale it. Player A with a .330 wOBA is a 10% better hitter than Player B with a .300 wOBA. If you scaled wOBA differently, say by multiplying it by a “fudge factor” of 100,000%, player A would have a 330 wOBA and player B would have a wOBA of 300. And wOBA would still say that player A is a 10% better hitter than player B.
In other words, it’s not a fudge factor. It’s just a scaling constant that you can pick arbitrarily.
by kcdc1 on Nov 21, 2011 3:13 PM EST up reply actions 1 recs
kcdc1 is exactly right about this
Tango takes the weight above out value then multiplies it by a constant so that it is scaled to OBP. you can verify this “working” by doing wOBA minus lgwOBA and dividing by 1.15 times PA and see that you get the correct linear weights runs created above average.
The 1.15 is a basic approximation, he shows how he scales lgwOBA to lgOBP for each given year here:
http://www.insidethebook.com/ee/index.php/site/article/woba_year_by_year_calculations/
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by Matt Klaassen on Nov 21, 2011 3:19 PM EST up reply actions
Eagerly awaits Austin’s return.
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by Scott McKinney on Nov 21, 2011 3:27 PM EST up reply actions
Honestly, I find wOBA more difficult to use than wRC+ and wRAA. The fact that it’s not scaled to a constant, easily recognizable number annoys me. .300 would be better for me than .317 or whatever it was this year.
I guess it depends on what you're using it for
I think remember Tango talking about having it scaled so that it was scaled so the average number was the same every year, but decided to scale it to league average OBP instead. You could do it however you want, of course. wRC is better for a comparison to average and park-adjusted, and the wRAA (just linear weights) is the whole point of the thing (I like the idea of expressing it in something like wRAA/700 or whatever number of plate appearances).
But it’s just the limits of the stat. Once you know what’s going on with it (as you do), you can make sense of it, I think. The weights also change each year, but the basic generic ones are in there. A fast way of doing it is (I’m sure you know this, but I’m procrastinating, so bear with me).
(.7x(BB+HBP) +.9xH +.35×2B +.65×3B +1.1HR +.25SB -.5CS)/PA
Take out or add in whatever you want. I think someone on THT had a cool spreadsheet that someone did that let you scale it however you want with whatever weights you want, but I don’t remember. I tried to do it myself once, but I screwed it up. I keep thinking I’ll do a version with weights derived by BaseRuns, but I keep screwing up the scaling calculation… which shows why I’m a crap saberist.
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by Matt Klaassen on Nov 21, 2011 3:39 PM EST up reply actions
I guess scaling wOBA to league average OBP (or league average whatever) tells you about how a hitter performed in an absolute sense, whereas a stat like wRC+ which always scales to 100 can only tell you how a hitter performed relative to the league. I concede. Tango’s right. You need to have both.
But I still find wOBA unwieldy.
Are you familiar with the concept of scaling?
But I’m just a lawyer. What do I know? :)
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by Scott McKinney on Nov 21, 2011 3:16 PM EST up reply actions
This is what I get for not reading carefully
I should have focused my ire not on the 15 percent figure but rather the index values for each stat.
by BlueEyes_Austin on Nov 21, 2011 3:35 PM EST up reply actions
Maybe you sold yourself short on considering a career change to do statistical analysis for a MLB team. I think you’d fit in nicely on the Royals team.
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by Scott McKinney on Nov 21, 2011 3:40 PM EST up reply actions
I'm geniunely curious about your objections
I’m not an expert on linear weights by any means, but the weights he’s working from seem pretty uncontroversial to me. They are “generic” averages from a few years back in the 00s:
HR 1.40, 3B 1.07, 2B .78, 1B 0.47, NIBB 0.32, Out -.3
so the value above an out is:
HR 1.70, 3B 1.37, 2B 1.08, 1B 0.77, NIBB 0.62
I don’t get what is wrong with the weights or the procedure, but maybe there is something there.
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by Matt Klaassen on Nov 21, 2011 3:48 PM EST up reply actions
Yeah….I don’t think those are controversial, but let the guy save face.
His point about using stats that are easy to communicate was a good one.
by kcdc1 on Nov 21, 2011 3:52 PM EST up reply actions 1 recs
But he was asked which stats they use to evaluate hitters and pitchers
In evaluating players, should they use stats that are easily explainable to scouts, even if they aren’t the best stats for evaluating hitters and pitchers?
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by Scott McKinney on Nov 21, 2011 3:56 PM EST up reply actions
Can't they use both?
If the stats guys don’t use WHIP, batting average, etc at all, communicating to coaches/players will be made unnecessarily difficult.
As long as they understand the stats they use, I’m fine with them using whatever best suits their purposes.
Are we talking about evaluation?
I just want to be clear here, because that’s the context in which Jin discussed specific stats. And if so, then how should considerably less meaningful stats like batting average and WHIP be used in evaluation? When Wong and Groopman are sitting around the table talking about players (as Mike Fast suggested they do), should they say that Pitcher X is good/not good because of his WHIP? Or that a given hitter is good or not based on his batting average? And can’t scouts and other FO personnel who aren’t familiar with it be taught wOBA? It’s not rocket science. Instead, do Wong and Groopman have to explain why a certain batting average isn’t so meaningful and you have to look at OBP and SLG and how they are weighted differently every single time? How much should the SA guys dumb down the analysis? And doesn’t that end up dumbing down the evaluation? Is this perhaps what has led to various moves at the MLB level for the Royals?
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by Scott McKinney on Nov 21, 2011 4:09 PM EST up reply actions
okay
I guess I’m just trying to understand what Austin’s objections are, since he seems to have some problems with it. I’m really curious, but it won’t keep me up at night.
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by Matt Klaassen on Nov 21, 2011 4:05 PM EST up reply actions
Let me see if I can communicate this well
The problem I generally have is in the desire to create a single statistic that captures all parts of a game. wOBA, for example, essentially combines the information in OBP and SLG but it does so through an opaque algebraic equation. As a user of statisitics I’d much rather have the OBP and SLG indicators and make my own assessment of their relative importance.
This is an even bigger problem with WAR approaches that combine the much more precisely measured offense categories with much more questionable defensive measurements. At the very least I’d want decomposible measures of oWAR and dWAR…and I am very, very uncomfortable with reifying the analytical assumption of freely available talent.
by BlueEyes_Austin on Nov 21, 2011 4:04 PM EST up reply actions
Let's stick with wOBA, since that is what your particular objections are to in this case
and it’s a much different and simpler issue than defensive metrics or replacement level.
OBP and SLG are sort of beside the point, since wOBA does not direclty address t hem. All three stats makes assumptions about the relative value of events. OBP assumes that any non-out (simplifying) is of equal value. SLG assume that only hits have value, and they are directly proportinoal to the number of bases taken.
wOBA is just linear weights expressed as a particular sort of rate. What are your problems with the specific weights? Do you object to the Run Expectancy-based approach to analysis from which the weights are derived?
Making watching baseball as fun as doing your taxes.
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by Matt Klaassen on Nov 21, 2011 4:11 PM EST up reply actions
Here' s what it comes down to
I’d rather know this about a player:
OBP: .390
SLG: .410
Than:
wOBA: .340
The two statistics in tandem tell me much more about HOW a player players than simply wOBA.
Digging around Fangraphs, let’s find an example.
Nelson Cruz: .352
Casey Kotchman: .351
But how they got there was very different:
.378/.402 for Kotchman and .312/.509 for Cruz.
by BlueEyes_Austin on Nov 21, 2011 4:19 PM EST up reply actions
I can understand wanting the OBP and SLG information as well
But they are no substitute for wOBA. I think actually if I were in a front office and I wanted the complete picture of a hitter (and not just the quick and dirty basics), I’d want wOBA and K%, BB%, ISO and the profile of their extra base hits (as well as base running data). But I think the simplifications of OBP and SLG don’t get you very far. Either look at a more accurate single stat (wOBA) or if you want a fuller picture, use that plus the player’s full hitting profile.
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by Scott McKinney on Nov 21, 2011 4:22 PM EST up reply actions
The problem is
To use wOBA I have to accept the entire calculation of run expectancies, which are simply probabalistic (and thus imperfect) point estimates. OBP and SLG are exactly correct (see below) descriptive statistics of what occured.
by BlueEyes_Austin on Nov 21, 2011 4:31 PM EST up reply actions
But OBP and SLG give weights to events just as wOBA does
In OBP, all hits and walks are weighted equally. In SLG, singles, doubles, triples and HR’s are weighted 1-4. And the research shows that none of the above weights relate well to run scoring.
It seems like you’re suggesting willfully closing your eyes to more and better information.
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by Scott McKinney on Nov 21, 2011 4:37 PM EST up reply actions
No
OBP and SLG are tallies of discrete events (e.g., hits, walks, total bases).
by BlueEyes_Austin on Nov 21, 2011 4:41 PM EST up reply actions
And simple tallies give you much less information than a metric based on the run values of those events
Less information is not better information in this case. And data which tells you base production is nowhere near as value as data which tells you run production.
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by Scott McKinney on Nov 21, 2011 4:44 PM EST up reply actions
But there isn't "less information"
wOBA doesn’t add any additional information EXCEPT the linear weights of average run production.
by BlueEyes_Austin on Nov 21, 2011 4:49 PM EST up reply actions
I'm not sure why that is a problem with wOBA
rather than wanting it to do something other than what it does. A hitter with higher wOBA is better than one with a lower wOBA. How they get there is important, but that tells you something else. That doesn’t make wOBA “wrong.” wOBA is going to give a better idea of how many runs a player helps to create. But that doesn’t mean it replaces the other functions that AVG/OBP/SLG might have. At least that’s how I see it. Forgive my self-linking, but I talked about this issue at length here.
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by Matt Klaassen on Nov 21, 2011 5:01 PM EST up reply actions
The reason for this
Is that if I am making any serious decision about a player I am NOT going to be using a single measure to do so. I’m going to be bringing in statistics, scouting reports, a host of things. all these differently measured information then get processed in an expert brain (someone elses, not mine) who may “see” connections without really understanding how they are made.
by BlueEyes_Austin on Nov 21, 2011 4:20 PM EST up reply actions
Is that if I am making any serious decision about a player I am NOT going to be using a single measure to do so.
I don’t think anyone is suggesting that you should, or that any MLB FO does.
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by Scott McKinney on Nov 21, 2011 4:25 PM EST up reply actions
So why the mania for a single statistic?
by BlueEyes_Austin on Nov 21, 2011 4:32 PM EST up reply actions
In all honesty, I don't know what mania you are referring to.
It is nice to have a single hitting (plus SB and CS) stat which measures total production, rather than just have a morass of stats and squinting and saying, I think Player X is better than Player Y. But a complete evaluation (as a MLB FO should do), should look in great depth.
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by Scott McKinney on Nov 21, 2011 4:39 PM EST up reply actions
But I'm not interested in production measures
I’m interested in understanding the player.
by BlueEyes_Austin on Nov 21, 2011 4:45 PM EST up reply actions
If you want the full profile of the player, look at the full profile of the player. Looking at OBP and SLG instead of wOBA doesn’t get you there. Look at a good single measure like wOBA but also K%, B%, ISO and more.
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by Scott McKinney on Nov 21, 2011 4:47 PM EST up reply actions
As I said above
these are not mutually exclusive. I have never seen anyone saying that wOBA is the only thing you should look at. The stuff about scouting reports, stats, etc. is all true… but as answers to a different question. It certainly doesn’t seem to indicate a problem with the construction of wOBA or linear weights, which is what you were talking about originally, and what I was curious about.
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by Matt Klaassen on Nov 21, 2011 5:04 PM EST up reply actions
As a user of statisitics I’d much rather have the OBP and SLG indicators and make my own assessment of their relative importance.
But couldn’t an individual’s subjective assessment of their relative importance miss a lot? wOBA is derived from the real value of every baseball event which goes into it (every walk, single, double, etc.). Isn’t that much more telling than an individual’s gut feel for the value of a given OBP and SLG?
At the very least I’d want decomposible measures of oWAR and dWAR
That makes sense. I would think that when a MLB FO evaluates a player, if they look at WAR for a player, they would certainly look at the various hitting, base running, defensive, replacement and positional components.
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by Scott McKinney on Nov 21, 2011 4:11 PM EST up reply actions
That's fair
Stats like wOBA and WAR tell you the size without telling you the shape.
IMO, that’s not really a problem with wOBA and WAR (a single stat can’t be expected to do everything) so much as it shows that there aren’t widely used stats that tell you about the shape.
Well, OBP and SLG are widely used
But they’re not as accurate as wOBA. It’d be nice if we had better “shape” stats.
I disagree
OBP and SLG are exactly accurate descriptions of what occured in a game assuming the scoring of the game was correct.
by BlueEyes_Austin on Nov 21, 2011 4:29 PM EST up reply actions
The problem with SLG is that it considers all bases of equal value
That’s a decent approximation but not completely accurate.
And the question here, presumably, is not “how many bases will this player create for our team” but rather “how many runs will he help us score”.
Look at it this way
The question is not “how many runs will this player create” but rather “given my existing set of players how many runs will this player create.” wOBA assumes that runs created by an individual is independent of the characteristics of the players that surround them.
by BlueEyes_Austin on Nov 21, 2011 4:43 PM EST up reply actions
wOBA is based on the run value of various events, on average
No, it doesn’t tell you exactly how that would translate to that player on a specific team. But it does a much better job of telling you the run production of a given player than OBP or SLG.
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by Scott McKinney on Nov 21, 2011 4:45 PM EST up reply actions
Maybe, maybe not
That assumes my team is some reasonably representative sample of the league.
by BlueEyes_Austin on Nov 21, 2011 4:51 PM EST up reply actions
No, it doesn’t assume that the player’s run production will be on your team what it would be on average. It gives you a rate stat based on average values. And you can look deeper into the player’s stats to get more specific information.
And, I don’t know why OBP or SLG would give you a better idea of the run production a given player would provide for your team.
You may know me as NYRoyal.
by Scott McKinney on Nov 21, 2011 5:01 PM EST up reply actions
Yes it does assume that
The linear values are calculated from league average values for each of the events.
by BlueEyes_Austin on Nov 21, 2011 5:10 PM EST up reply actions
And OBP and SLG somehow tell you more about the likely run production of a given player on a given team?
I don’t think so.
You may know me as NYRoyal.
by Scott McKinney on Nov 21, 2011 6:41 PM EST up reply actions
This
You could use linear weights to formulate a better power stat than SLG. But I don’t know of one.
Mike, if you read this, do you know if there are plans to make the Hit f/x data more publicly accessible in the future? It’d improve the internet saber community so much….
No I am not aware of any plans to make HITf/x data public
beyond the data from April 2009 that was already made public. I don’t expect anything more than that. Unless maybe way down the road they would release old data when it had no commercial value.
not Mike, but my guess is
they just installed it without thinking it through first. wont’ happen again, sadly
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by Matt Klaassen on Nov 21, 2011 5:17 PM EST up reply actions
Agree with Matt
I don’t know that they thought about the implications of having the data available on a server where it could be scraped. By the time Adler had published Baseball Hacks, they could have closed the data off, but Marv White at Sportvision saw the benefit from getting all sorts of free analysis and publicity and getting established as the leader in the field. Once that had happened, there were diminishing returns that came from making additional data public. Making the data public prevents them from selling it, of course. So in a sense, PITCHf/x was a marketing effort for them where they accepted reduced revenues on that product in exchange for raising their profile. You can also read into the fact that Marv was ousted from Sportvision as a declaration from the investors that they thought the decision on PITCHf/x was a mistake (of course there was probably more to it than that).
Thanks everyone.
Just trying to fill in the voids in our conversations.
- .-. ..- … – / – …. . / .—. .-. - .. . … …
by Jeff Zimmerman on Nov 21, 2011 10:58 PM EST reply actions
I Think Jin
Wong is a student of Sun Tzu; this is all disinformation.
I used to be an A's fan until they left town and got good.
You taught him well Phil.
- .-. ..- … – / – …. . / .—. .-. - .. . … …
by Jeff Zimmerman on Nov 22, 2011 9:15 AM EST up reply actions
Here are my extremely abbreviated thoughts
Yes, I came out of hiding to say this. I read RR at least twice every day and, first and foremost, Jeff, excellent, excellent job.
My thoughts on the content of this article – particularly, the organization’s apparent emphasis on stats and the structure of their “stats department”, according to Wong?
It’s embarrassing.
OPS? WHIP? Runs Created? From three men whose jobs entail – in a small, small way – stat analysis. I like that they have their own proprietary method of offensive analysis (no matter how misguided it is) and that they have their own (limited) pitch & field f/x data in place. In those regards, their heart appears to be somewhat in the right place. However, three men who only handle statistics part-time clearly shows how much this organization emphasizes statistical analysis, which is quite little.
This is very telling and describes many recent moves (2006-present) that the stat community has vastly disagreed with. And it shows.
Jeff, I would have liked you to have asked Mr. Wong if player performance has exceeded his own department’s expectations?
by Royals Nation on Nov 23, 2011 4:43 PM EST reply actions 1 recs

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