Recap of a Curve Game

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Went to an Altoona Curve game this evening. Let's just say that going with a 3-year old and a 3 month old, while a wonderful time, is not the best opportunity to scout our division rivals' AA team.

It was a blow-out by the third inning, though the Curve scored four in the 9th to bring the score 9-7. We left at the 7th inning stretch...kids getting cranky at their bedtime.

I saw two PA's by Pedro Alvarez. He took a called third strike and then popped out to short right. He was DHing tonight, so I didn't get to see him in the field.

Gorkys Hernandez grounded out the PA I clearly saw him, which was his first. I heard him hit an RBI triple, but I was in the bathroom stall helping my daughter go potty.

Ray Chang of WBC fame also had a great game. I saw him line a double to left field to drive in the Curve's first run. He apparently hit another at some point, but I missed it (maybe in the 9th?). Also made some slick plays in the field.

My 3-year old ate her first bag of Cracker Jack tonight. And she has demonstrably improved her bouncy house skills over the past year to being clearly above replacement level. The gymnastics lessons probably have helped with that.

Friday Night Fungoes: Larkin, run estimators, CHONE, and the Dunning-Kruger Effect

Looks like I'm going to the Curve game tomorrow night. Whether I'll post a report may depend on how they do...they've yet to win this year! Weather should be nice, though: 72 degrees & sunny.

Does Larkin Belong in the Hall of Fame? Revisited

I can't remember if I linked to this or not, but even if I have it's worth linking again: Rally has posted season-by-season WAR estimates for all players in the Retrosheet era. He also has a top-300 ranking, so we can look at the best of the past 50+ years using these numbers.

Rally's data include offense, defense (including turning double plays, etc), baserunning, and era-specific position adjustments. This is similar to what I tried to do in my piece on Larkin, but better because of the baserunning & especially the era-specific position adjustments. Here is how the shortstops I included in my Larkin study pan out in Rally's WAR data, plus a number of others who came up in discussions following my Larkin piece:

	MyWAR	RallyWAR
Alex Rodriguez	82.4	96.5
Cal Ripken+	73.8	91.2
Robin Yount+	62.1	75.9
Barry Larkin	57.6	70.1
Ozzie Smith+	45.3	67.6
Alan Trammell	53.7	66.8
Derek Jeter	49.5	62.4
Ernie Banks+*	54.8	59.2
Luis Aparicio+	30.9	50.5
Toby Harrah		47.1
Omar Vizquel	28.0	45.2
Bert Campaneris		44.5
Normar Garciaparra		43.7
Tony Fernandez		43
Miguel Tejada	39.2	40.9
Jay Bell		35.5
Davey Concepcion	26.0	34
Mark Belanger	26.2	32
Edgar Renteria		31.9
Chris Speier		24.8
Bill Russell		24.4
Rick Burleson		21.3
Freddie Patek		20.4
Steve Sax		19.8
Larry Bowa		18.9
Bucky Dent		12.4
Don Kessinger		7.2
Tim Foli		3.5

Some players got a big boost in their rating, like Ozzie and Aparicio, once you include baserunning (I only included SB's & CS's) and double play turning. But as you can see, the results are more or less the same as far as Larkin is concerned: probably the 4th best overall, and 2nd-best pure shortstop in the Retrosheet ERA, at least based on total contributions to their ballclubs relative to their league.

Career-level WAR accumulation isn't the be-all, end-all of hall of fame voting, as peak performance is also important. But in Larkin's case, career WAR is crucial. No one disputes that he was brilliant player when healthy. The knock on him is that he didn't play enough due to all of his injuries. These data clearly indicate that his total contribution, including playing time, was among the best in baseball history at his position.

Rally has Larkin as the 30th-best position player of the Retrosheet era. I know he almost certainly will not be a first-ballot Hall of Famer, but he probably should be.


Why I'm trying to stop using OPS

Colin followed up his study posted last week on run estimators with an improved method. This time, instead of looking at half-inning or even game-level combinations of team offense, he instead focused on identifying the average value of particular offensive events to games. His methodology was to take matched games--games that had the same numbers of major counting events, but that differed in how many of one specific event they contained.

For example, he might have a game with 5 singles, 3 doubles, 1 homer, and 3 walks, and he'd compare that to a game with 5 singles, 3 doubles, 1 homer, and 4 walks. Finding the average difference in runs scored between pairs of games like this would tell you the average value of a walk in runs. He then compared those actual differences in runs scored to the expect difference in runs scored according to a variety of run estimation mechanisms.

The results? Linear weights-based methods did the best. This includes his "house" linear weights (which he kindly shares), as well as manipulations of linear weights like wOBA. A bit behind them were GPA (aka 1.7 OPS), Base Runs and BPro's EqR, followed a bit more distantly by Bill James' Runs Created. The worst of the bunch were the OPS-based methods, as well as the even-more-horrible Total Average (bases/outs).

This is strong evidence that we should more or less stop using OPS to evaluate hitters. It's unnecessary, given how easy wOBA is to calculate. Is it better than batting average? Sure, of course. But it misses badly enough and often enough that we should really move past it. It's a tough habit to break, but it's time to wOBA, folks.


CHONE is a really good projection system

Matt has a fairly exhaustive projection roundup here. He notes that each system seems to have its own strengths, but often also some weaknesses:

--CHONE was the best at projecting most things.

--PECOTA was very close behind but had some systematic biases, specifically for speedy players' BABIPs, which ZIPS struggled with as well.

--ZIPS is behind the other systems, except it does quite well with projecting the three true outcomes for players over 35.

--CHONE does better with older players in general, since its specialty is aging curves, but PECOTA does better at finding comparable players for younger players for whom less data is available (unless they fall into the speedster category).

--OLIVER clearly contends and even takes the lead at some things--especially at projecting hitters with lower homerun totals and other players significantly affected by park effects. However, OLIVER under-projects walks and strikeouts systematically and over-projects homeruns systematically, and could probably be improved by adjusting how those outcomes are computed.

The nice thing about this is that we can use this information to give more or less weight to a given projection system when it differs from others in predicting a given player's performance based on the sort of player we're looking at. Or, we can do what I've essentially decided to do around here, which is to just use CHONE. :)

It's worth noting that Matt's is just the latest projection roundup in which CHONE did particularly well. Whether it will continue to do so in the future is an open question, of course, but the data suggest that it's as good as they come.


The Dunning-Kruger effect

JC posted about this terrific psychological concept: that people incompetent in a particular discipline will massively overestimate their competency in that discipline. That's pretty much the definition of a baseball fan, isn't it? :)

I'm jesting, mostly. You certainly see arguments between baseball fans who really know their stuff and baseball fans who just think they know their stuff. And I tend to think that most of what you hear on talk radio (sports, or otherwise) involves people who fall into the latter category rather than the former category. And, of course, I tend to think that on at least some issues (some areas of biology, some areas of baseball research, etc), I fall into the reasonably competent category.

But the great part of this is that the Dunning-Kruger effect predicts that we'll have a very hard time being able to tell whether we're competent or not...because the more incompetent we are, the less we'll realize it! :)

Jose Tabata's story

I haven't seen much on this in Reds country, but I'm trying to keep up with my local minor league team, the Altoona Curve. A story broke this past week that is beyond bizarre involving a 20-year old Pirates propect, Jose Tabata, who will begin the season with the Curve. I think the best summary is actually from Charlie's blog post on this:

There are so many bizarre things wrapped up in this story that I'm not really sure where to start. Just off the top:

-Jose Tabata's wife is 43?

-Jose Tabata's wife has multiple aliases?

-Jose Tabata gave the Pirates wrong information about his wife's name?

-And, oh yeah, Jose Tabata's wife may have kidnapped a two-month old baby.

Thanks to Thunder for the link.

UPDATE: More details. Tabata's wife has a rap sheet that includes theft and fraud. The U.S Immigration and Customs Enforcement has begun an investigation. It sounds like she's in very serious trouble. Hopefully, Jose is as surprised by some of these details as I am, because it would be terrible if he were connected to all this--not, obviously, just for baseball reasons but because he's a young kid with a long life ahead of him.

UPDATE II: Tabata says he's "shocked" by what his wife did.

A few days later, Tabata released a statement:

The truth is that my wife told me many lies that, until this whole situation began, I did not know. One that hurt me a lot was her history as a criminal- that she had spent years in prison, that she had robbed and committed fraud. But the worst lie was that she completely falsified her pregnancy and the eventual birth of a baby girl, which would have made me a father for the first time. Imagine how that made me feel.

Hard to know exactly what's going on in this situation. But signs are that this woman has been badly manipulating the much younger Tabata for quite some time. Hopefully he'll be able to put all of this stuff behind him. I'm going to try to make it to quite a few Curve games this season, so I'll be chearing for the kid.