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Showing posts with label Baseball News. Show all posts
Showing posts with label Baseball News. Show all posts

Wednesday, May 13, 2009

National League Update - Through 5/12/09

I thought I'd try something new tonight and do a league recap. The plan is to do a Reds-centric recap in alternation with this recap on some kind of regular schedule. We'll see. :)

Division Roundups


Quick notes on the stats below: All runs data are park adjusted using Patriot's park factors. PythWins is from Hardball Times, and so is PythagenPat. XtrapWins is the wins that the teams' current winning percentage would provide at the season's end. Wif500 is what the team's record should be if they win half of their remaining games. %for90W is the winning percentage the teams will need to get to 90 wins at the end of the season.

NL East
Team W L PCT GB RS* RS/G* RA RA/G* PythWins XtrapWins Wif500 %for90W
NYN 18 14 0.563 0 158 4.9 138 4.3 18 91 83 0.554
PHI 16 14 0.533 1 166 5.5 156 5.2 16 86 82 0.561
FLA 17 16 0.515 1.5 153 4.6 162 4.9 16 83 82 0.566
ATL 16 17 0.485 2.5 144 4.4 143 4.3 17 79 81 0.574
WAS 10 21 0.323 7.5 162 5.2 197 6.4 13 52 76 0.611
Pretty tight division thus far, especially when you note that the Mets just swept the Braves to push Atlanta as far down as they now are. The Mets and the Braves have had the best defense, but the Phillies and Adam Dunn's Nationals have had the best offense. The Nationals' general lack of pitching and defense will keep them out of the race, but at this point all other teams are in it. Should be fun to watch.

P.S. Condolences to Zimmerman on having his hit streak stopped at 30.

NL Central
Team W L PCT GB RS* RS/G* RA RA/G* PythWins XtrapWins Wif500 %for90W
STL 20 13 0.606 0 177 5.3 155 4.7 19 98 85 0.543
MIL 19 14 0.576 1 164 5.0 142 4.3 19 93 84 0.550
CIN 19 14 0.576 1 145 4.4 141 4.3 17 93 84 0.550
CHN 18 14 0.563 1.5 149 4.7 144 4.5 16 91 83 0.554
HOU 14 18 0.438 5.5 135 4.2 161 5.0 13 71 79 0.585
PIT 13 19 0.406 6.5 140 4.4 143 4.5 16 66 78 0.592
Thus far it's been a four-team race. The Cardinals have had the best offense--I hear they have a good first baseman. But their defense hasn't been on par with top run-prevention teams Milwaukee and Cincinnati (hehe--I just love saying that). Milwaukee has looked surprisingly strong defensively (pitching + fielding), at least to my eye. Pythagoras thinks that the Pirates' record is far below where it should be, with a combination of a decent offense (same R/G as the Reds') and decent enough pitching. I'm skeptical, simply because it's the Pirates. :)

Heading into tonight's action, the Reds and Brewers were tied for the lead in the NL wild card race. No, it's never too early to point that out.

NL West
Team W L PCT GB RS* RS/G* RA RA/G* PythWins XtrapWins Wif500 %for90W
LAN 22 12 0.647 0 191 5.6 135 4.0 22 105 86 0.531
SF 18 14 0.563 3 128 4.0 134 4.2 15 91 83 0.554
COL 13 18 0.419 7.5 145 4.7 132 4.3 17 68 79 0.588
SD 13 20 0.394 8.5 135 4.1 180 5.5 12 64 78 0.597
ARI 13 21 0.382 9 120 3.5 150 4.4 14 62 77 0.602
The Giants are trying to hang in there, and the Rockies are probably a lot better than they've shown. But so far, the Dodgers have been running away with it. Their offense has been amazing, and as I write this they're up 7-1 on the Phillies, but it remains to be seen how much of an impact losing Manny will have. The thing is, they've also had the best defense in the division thus far, are their fielding should just improve with Manny out. They look tough.

Team performance breakdown

What I'm doing below is using some objective methods to estimate what team performance "should be." I estimate team runs scored using linear weights (actually, FanGraphs does, though I park-adjust it), pitching performance based on FIP (I do park-adjust the HR's; I'd rather use tRA*, but I can't pull it automatically from statcorner using excel and it takes too long to type it in), and fielding based on UZR. I use those numbers to estimate team runs scored and runs allowed, and then use PythagenPat to estimate expected winning percentage. It's not perfect, but this should give us another look at team performance that gets beyond actual wins, losses, and runs scored or allowed. You can think of the list below as a sort of power ranking in the National League.


Offense Pitching Fielding Overall
Team OBP SLG wOBA wRC* ERA FIP* K/9 BB/9 HR*/9 FIPRuns* bUZR THT+/- DER ExptW%
Dodgers 0.372 0.423 0.352 191 3.81 3.90 7.5 3.8 0.7 142 -12.6 8.8 0.718 0.597
Brewers 0.350 0.443 0.346 171 4.12 4.54 7.3 3.8 1.1 159 11.6 13.6 0.719 0.570
Mets 0.368 0.429 0.350 171 3.89 4.25 7.0 4.0 0.8 145 -5.8 4 0.7 0.559
Braves 0.346 0.402 0.331 155 3.98 3.78 7.8 3.6 0.7 134 -3.5 -0.8 0.687 0.557
Cardinals 0.347 0.442 0.346 174 4.16 4.40 6.6 3.4 1.0 155 -3.4 -5.6 0.686 0.545
Reds 0.333 0.410 0.329 148 3.98 4.28 6.9 3.8 0.8 153 10.2 4.8 0.702 0.516
Nationals 0.361 0.448 0.356 184 5.54 5.15 5.9 4.5 1.1 172 -12.6 -14.4 0.668 0.499
Rockies 0.338 0.447 0.344 144 4.47 4.43 6.5 3.4 1.0 144 -2 10.4 0.694 0.493
Phillies 0.341 0.450 0.348 156 5.31 5.47 6.8 3.8 1.6 173 7.6 13.6 0.709 0.471
Cubs 0.335 0.416 0.331 144 4.52 4.42 8.5 4.3 1.1 151 -3.8 -2.4 0.704 0.467
Padres 0.314 0.389 0.312 142 4.77 4.57 7.2 4.2 1.0 159 -0.3 -4 0.686 0.448
Pirates 0.327 0.392 0.319 138 4.20 4.89 5.6 4.1 1.0 162 5.4 10.4 0.714 0.439
Astros 0.324 0.395 0.315 135 4.57 4.61 6.8 3.9 1.0 162 5.4 -4 0.677 0.432
Marlins 0.319 0.377 0.309 135 4.35 4.20 7.6 3.8 0.9 151 -9 -2.4 0.684 0.420
Diamondbacks 0.309 0.392 0.310 126 4.44 4.30 7.1 3.2 1.1 157 4.5 4 0.695 0.408
Giants 0.315 0.364 0.302 116 4.07 4.43 8.1 4.0 1.1 153 4.1 -4.8 0.694 0.384

The Reds come out looking pretty good here, ranking as the 6th-best team in the National League thanks to their pitching and fielding. The teams that rank above them are not a surprise, though the Brewers' ranking at #2 is pretty impressive.

But there are surprises among teams below the Reds. The Nationals show up as an expected-0.500 team here thanks to an offense that is expected to score 20 more runs than it actually has produced thus far (second only to the Dodgers). The Marlins and especially the Giants look to have massively overperformed thus far. The Marlins' offensive numbers are very weak (0.309 wOBA), and their expected runs scored is almost 20 runs below their actual total.

The Giants, on the other hand, look lucky in both their offensive production AND defensive run prevention. I'd estimate that their record should be closer to 12-20 than it's actual mark at 18-14. I expect them to fall out of the race quickly, which might end up leaving the Dodgers to seal off that division by mid-June or so. Unless the Rockies can catch them...
  • Top hitting teams (wOBA): Nationals, Dodgers, Mets, Phillies, Brewers
  • Top pitching teams (FIP*): Braves, Dodgers, Marlins, Mets, Reds
  • Top fielding teams: Brewers, Reds, Phillies, Pirates, Astros (maybe--Dodgers have a legit argument, despite their UZR)
  • "Expected" playoff teams: Mets, Brewers, Dodgers win divisions, Braves win wild card

Friday, April 17, 2009

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! :)

Monday, April 13, 2009

Another reason to scrap the DH

I'm pretty sure this means I'm a bad person, but I'm very uncomfortable with this idea.
The York Revolution have decided to find out by bringing in a former member of the Tampa Rays organization, 3'2 Dave Flood as a pinch-hitting specialist. ... "If I were seven feet tall I'd be putting a basketball through a hoop," said Flood. "I should be able to take advantage of my height to draw a walk. Sometimes this might be leading off a game, sometimes it could be as a pinch hitter with the bases loaded in the bottom of the 9th."
It's probably mostly just a publicity stunt by an indepedent-league team. But the thing is, I can't work out any reason to be directly opposed to this idea that isn't blatantly prejudicial. The only thing I can say is that I think that anyone who plays on offense should have to play defense as well, and vice versa. The only exception in my mind should be pinch hitting or pinch running, where you've chosen to remove a player from a game rather than allowing their weakness to be exposed.

Even then, however, I can't justify a reason to prevent teams from using one of their roster spots for someone who can only pinch hit, and will require a pinch runner if s/he gets on...which they will probably do at least 50% of the time (0.500+ OBP). It'll be interesting to watch this.

Update: Additional discussion at Tango's blog.

Friday, April 10, 2009

Friday Night Links

(I've gotten out of the habit of doing these, but they were fun to do last season and I'm going to try to get back into doing them this season. Otherwise, links just pile up in bloglines and never get shared...)


Will 2009 show an offensive spike?


Early word from hittracker that we might be seeing something interesting this year. My feeling is that this is probably just noise (no matter what the 2-sample t-test says), but you never know.

Update: more on this at Tango's site.


Is baseball's franchise value bubble about to burst?

I didn't see much discussion of this, but I thought Craig's post (and especially his excerpt from Ethan Stock's post) on this was pretty interesting...and something that could be a real problem for a small market franchise like the Reds.

If a team isn't worth as much as it was before, it might not be willing to take on the kinds of liabilities (i.e. player contracts) that it had before for fear of reducing the potential sale value of their franchise. At least, I think that's right (everything I know about economics I learned from Planet Money).


Q&A With Jeff Luhnow at BtB

Really excellent interview with the Cardinals' VP of Amateur Scouting and Player Development at BtB. Here's a good excerpt:
How would you compare advanced insider sabermetrics to public sabermetrics?

Great question. First of all, I am constantly impressed with the quality of the publicly available research on the game of baseball. It is clear that there are numerous very talented and smart people who study the game and develop amazing and true insights. MGL and Tango’s book is a great example of this, as is the work shared and discussed on their website. I’ve had a chance to talk to and work with both of them and they are first rate baseball thinkers. To me, these two and many more like them are an important part of our industry… both in terms of helping shape the game in some ways as well as generating public interest in the analytical part of the game.

As a baseball club, we read much, if not most, of the thoughtful research done on the topics that matter to us. When we know the people and the quality of the work, we consider the findings useful and may even act on them. However, since we don’t control the work and can’t do the quality checks to make sure the data was clean, the methods were up to our standards, etc, it becomes more difficult to act on the conclusions. That drives us to develop our own capabilities, which we have done for the past six years, since fall of 2003 when I arrived at the Cardinals.

Beyond the Boxscore has really improved over the past six months and has become a place I visit daily (at least on days I have time to visit baseball sites). Hopefully it's talent won't get poached as quickly as it did over at StatSpeak, though that is already starting to happen...

How important is fielding?

Two links on this one.

First, Tom Tango came up with a neat way of looking at the value of outstanding fielders that gets away from all these fuzzy math that tries to figure out whether a player should have gotten to a ball:
I selected the best twenty or so infielders (2B, SS, 3B) since 1993. It’s mostly the names you know: Everett, Sanchez, Bartlett, Rolen, Reese, Hudson, Inge, etc.
.....When the star fielders were on the field, their team allowed 4.60 runs per game, and when they weren’t on the field, they allowed 4.83 runs per game. Per 162 games, this difference comes out to 37 runs.....I repeated this exercise with the outfielders: Erstad, Beltran, Cameron, Endy Chavez, etc. Their teams allowed 4.89 runs with them, and 5.00 without them, for a difference of 19 runs per 162 game season......And I did the same for firstbasemen: Minky, Derrick Lee, Tex, etc. They allowed 4.89 runs with these great fielding 1B, and 4.99 without, for a difference of 15 runs......Roughly speaking, that gives us 26 runs (3 parts 37, 3 parts 19, 1 part 15) of fewer runs scored when you have one great fielder on the field, than when you don’t.
So, that's saying that your top-notch defenders give you 25 extra runs a season saved vs. bench. Now, a star offensive player may provide you with 50 or more runs over a bench player with his bat, or more (Pujols was ~75-80 runs over bench last year on offense alone). So fielding isn't as important as offense. But it's important. 20 runs is the difference between a replacement player and an average player in the National League, so fielding can change your evaluation of a player from being a 25th man to being a decent starter (remember Adam Everett?). Or, it can cut your star offensive player's value in half (remember Adam Dunn?).

To that end, John Dewan posted this shortly afterwards, claiming it was "the most significant discovery" of his career:

The worst defensive team in baseball in 2008? The Kansas City Royals. Their defense cost them about 48 runs relative to the average team. Comparing the Phillies and the Royals, the difference between the best and worst defensive teams in baseball was about 130 runs.

Now, remember that number. 130.

The best run-scoring team in baseball was the Texas Rangers with 901 runs in 2008. The San Diego Padres were the worst with 637 runs. That's a difference of about 260 runs.

Here's the discovery, and I found it because the numbers just jumped out. The 130 difference in runs saved on defense is exactly half of the 260 difference in runs scored. That's exactly half. The implication is that defense is worth about half as much as offense.

(John should have said fielding instead of defense, because defense includes pitching.)

Anyway, I think we can reasonably disagree (and we have) that this was a new discovery. It was new to John because he just got around to finally converting his plus/minus stat into a runs-based statistic for his new book. But I don't think it's really new, as we've been talking about how important fielding is to teams and players in a quantitative way for years now. MGL has been posting UZR since at least 2003, for example, and I still consider UZR to be superior to Dewan's plus/minus stat.

That said, Dewan's post was a nice way of presenting the importance of fielding, and it's something that has seemed to resonate with people.


What should we use to estimate player or team offense?

Colin has the first of a two(?)-part series comparing run estimators. It's similar to what I did here, but with two improvements. First, he does more tuning (somehow) to give each estimator a slightly better chance at performing well within each season.

Second, and most importantly, rather than looking at team season totals, he instead uses the statistics to compare offense on a half-inning basis. In other words, for each 3-out sequence of play, which estimator is the best at predicting how well teams perform? This lets him compare run estimators across a huge range of run scoring environments, everywhere from 0 runs (which would be the most common in his dataset) to 10 or more runs in a half inning. In my study, I effectively compared across 3.5-5.5 runs per game, which works out to a range of just 0.4 to 0.6 runs per half-inning. Colin's way is much better because it considers a much larger range of situations.

The results? Base runs wins, though whether you think by a lot or by only a little might be open for interpretation.

It's worth noting that one of the basic reasons that Bill James's RC doesn't do as well here as BsR does (and wouldn't no matter what form of RC is used) is that it won't correctly predict a 1-run inning with a solo homer because home runs aren't given special consideration in RC. Base Runs will predict such an inning perfectly.

The best part is that Colin isn't done yet. As others point out, there are still problems trying to generalize his results to rating individual performances, which is what most of us like to do with these stats. Colin's next effort looks even more promising--looking at matched sets of games that are identical in all counting stats but one. I'm not sure how he's going to pull it all together, but it should be at least an interesting contrast to today's article.


Nick Adenhart

I don't know what to say about this except that it's just awful. It'd be like losing Johnny Cueto the night of his first start last season. A guy who worked his whole life to get where he was, and was just starting to show his promise, and now he's gone. My deepest sympathies to his friends and family. The link at the beginning of this paragraph is everyone's favorite Angels fan, Rally's, take on this. And here is a bit more of a personal story about Nick.


John Brattain


Same as above, except that instead of a young player we have a fellow fan and writer who has left us. I don't earn much in the way of money from running this site, but I had a little bit of cash left over in a Paypal account from a sponsorship I received a few years ago and sent a small donation to THT's collection pot to help John's family. If you can, I encourage you to do the same.


Teaching Baseball

While this will only directly interest you if you happen attend my university (and no, I'm not out of the closet about my baseball life yet, so I'm not ready to share where this is), I have preliminary approval to teach a 2-credit freshman general education seminar on baseball next spring. The goal of these courses is to emphasize interdisciplinary subjects, reading, critical thinking, quantitative reasoning, and also serve as a student retention device. Here's the proposed course description:
Perhaps no other sport relies as much on tradition, hearsay, and loud opinion as baseball. But what is gained (or lost) when these claims are examined using a scientific approach? Can a player really watch the ball hit the bat? Do clutch hitters exist? Do steroids really help performance, and if not (or even if so) should they be banned? Why does a scrub MLB player earn 10x more money than a teacher? We will discuss these and other questions while considering studies from literature from exercise physiology, psychology, economics, and “sabermetrics.”

I hope it goes through all remaining channels, because it's going to be awesome. Reading list currently includes the Psychology of Baseball for sure, and may include JC Bradbury's new book if it's out by then or possibly Vince Gennaro's book. I will probably also supplement with readings from THT Annuals, or web-published studies. And I might even assign The Book.

Hopefully I can convince enough students to geek it out with me to make this class really work. :)


Mulling the future of this site.

The end of the semester is approaching! And while that will be coincident with the arrival of a new baby in our house (i.e. a time & energy suck), it also means that my first year of 12-credit/semester teaching will be over. I will always be busy with this job, but given that I won't likely have semesters with three+ new classes again, the days of spending 3+ hours every night preparing lectures will at least largely be over.

What this means is that I may have a bit more time going forward to toy around on the blog. And one of the things I'm considering doing (among many), since I live only a few miles from the Altoona Curve's home ballpark, is to start doing a little bit of work on the minor leagues. Player valuation, fielding, league comparisons, stuff like that. Some of this would probably include work on the Reds' minors, but it would also include work involving the Curve team as a way of following my local team.

So, I'm thinking about making some changes around here. One possibility that I'm strongly considering would be to make this more of a two-team blog, with content about both Reds and Pirates. Or even just moving away from an explicit focus on Reds altogether (though I'll always have a lot on them, as they'll always be my team). I am concerned that this change in focus might hurt readership, though, so another possibility would be to just start up a new blog to focus on issues related to the Curve and, by extension, the Pirates organization. Feedback is welcome...though part of the decision making process might depend on whether I can get a bitchin' domain name that I want. :)

Friday, April 03, 2009

Baby Sheldon

Congrats to beat writer Mark Sheldon on his new child!
first things first -- Congrats are in order to the usual author of this blog and his family. Mark Sheldon and his wife's clan got bigger by one baby boy this morning. Everyone is healthy and happy. So Mazel Tov to the Sheldons and all their family.
Have to say, though...I know you can't always plan these things, but the timing kind of stinks given that the season is just beginning and road trips are on their way.

Then again, thinking as a father of one young child and someone expecting his second in about 6 weeks, maybe that was all part of Mark's plan!

"What? Make another bottle? Change another diaper? Hold the screaming baby? Sorry, babe, I gotta go!"

Thursday, March 26, 2009

Playing time forecasts - your Reds knowledge needed!

Tom Tango is collecting playing time forecasts to plug into the Marcel forecasting system. Past research has shown that while objective forecasting systems do a great job of predicting rate stats, communities of fans are much better at forecasting playing time.

Here, Tango's trying to integrate both community playing time forecasts with a basic objective rating system. Together, they might turn out to be the best way of forecasting player performance among competitors in this year's projection showdown competition...despite being the simplest system among all contestants.

If this works, expect that such forecasts could be an annual part of Marcel projections...which means that they will likely be a terrific resource for all of us, be we basement-dwelling wannabes like myself or fantasy baseball players looking for an edge.

So please head over to Tango's site and cast a ballot giving your projections of playing time for our Reds players. I was first for the Reds, but ideally we'd need 30 or more ballots to get a reliable forecast for our team. Boston's already there...

Thursday, March 12, 2009

On the WBC & patriotism

Tango linked to this great article citing comments by Endy Chavez and Yadier Molina on the WBC:

Chavez was beaming after going 3 for 4 to help Venezuela eliminate Italy with a 10-1 victory in the World Baseball Classic. The victory assured Venezuela of a trip to the second round; its game Wednesday against the United States will be for seeding.

The final hero of Game 7, St. Louis Cardinals catcher Yadier Molina, is also playing in the W.B.C., for Puerto Rico. Molina hit a go-ahead two-run double on Monday to beat the Netherlands, and he surprised reporters when he said it meant more to him than the homer that sent the Cardinals to the World Series.

But the revelation did not surprise Chavez.

“It’s not even close,” Chavez said. “When we’re in the majors, it’s our job. We are professionals. You play for your team, but you just try to do your job. Here, it’s something special. You feel like a little kid. It’s not money. No matter who you are, you have to play hard for your country. I think it’s the biggest thing that has happened in my life.”

The biggest thing in his life? Bigger than The Catch?

“That was outstanding in that situation, to make that catch and save the team,” Chavez said. “It’s unbelievable, and it’s a pretty good play. But like I say, representing my country is something special. Nothing compares to that.”
Supports what I was saying the other day about player attitudes and loyalties in MLB and the WBC:
We see the people on our team as "our" heroes, but the truth is that they're employees of a large conglomerate who ultimately are playing for our team because a) that's who drafted them, or b) that's who offered them the best contract. They will have loyalty to their teammates, and over time some may adopt a city as their second home. But I think for most players, their team and "home" city is just the place where they go to work. That's probably especially true for players born outside of the USA.

My perception is that the World Baseball Classic is different. Players are playing for their true home countries (or, at least, the country of their ancestors). My sense is that many of them take real pride in these games and play them with an intensity that is at least on the level of the regular season, if not the postseason.
Anyway, at Tango's blog, a commenter wrote this:
i am phlegmatically pro WBC, because if done correctly it should be a great way to promote the sport around the globe and also provides entertaining baseball at a compitition level above that of a typical exhibition tournament. but i find the whole nationalistic prism it is framed in pretty discouraging. aren’t we above this kind of thing? i know sports nationalism is considered ‘harmless’ and everybody loves the world cup and the olympics and whatever but nationalsim is, to me, pretty much anathema to global progress.
...
nationalism is evil. homerism is just geeky, and when it leads to irrational behavior, yes, sometimes very annoying.
Here's my response:

I love the WBC for many reasons. I love the huge talent differences across clubs, because you get to see teams like the Netherlands pulling massive upsets despite AAA-level (at best) talent. I love that it’s a way to learn more about the personal backgrounds of all the players we follow in MLB. And I love the nationalism of the event.

I completely reject the idea that nationalism (actually, I think patriotism is probably a better word for what we’re seeing) on the level shown in the WBC is evil. The WBC is all about pride in your country. There’s nothing wrong, and a lot right, about that. I wrote when Obama was elected that I felt a genuine since of pride in my country for the first time in a long time. It’s made a tangible difference in my attitude toward team USA this go-around. Maybe that’s shallow, but that’s where I’m at.

I also love to see the patriotism exhibited by the players and fans of other countries. It helps me remember that there is far more to this world than this tiny part of our country where I closet myself. Fans and players of other teams are proud of their own countries, and they should be.

The kind of nationalism we’re seeing in this event is not, or at least does not have to be, the same thing as isolationism or exclusionism. It does not mean that you don’t respect and admire other countries. It just means you’re proud of your own country and the players representing it.

Never really thought I was the patriotic type...but dangit, I am. Maybe I'm not the boot-up-your-ass patriot type, and I'm definitely about as socially liberal as they come...but yeah, I'm a patriot, and I love my WBC.