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Does Robinson Cano’s Approach Change With Men on Base?
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2010 CAIRO Projections v0.2
(14 Comments - 1/25/2010 10:56:33 pm)

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Saturday, January 16, 2010

CAIRO Projected 2010 AL East Standings as of January 16

Obviously it's way too early to make much of these, but here's how I have the AL East projected with CAIRO given current rosters and my estimated playing times.
Team W L RS RA Div% WC% PL%
Yankees 100.3 61.7 864 664 66.4% 24.5% 90.9%
Red Sox 94.9 67.1 861 700 26.1% 44.8% 70.9%
Rays 89.3 72.7 804 706 7.4% 21.9% 29.3%
Blue Jays 70.1 91.9 696 761 - 0.2% 0.2%
Orioles 70.4 91.6 778 854 0.1% 0.2% 0.3%


W: Average projected win total
L: Average projected loss total
RS: Projected runs scored
RA: Projected runs allowed
Div%: Percentage of times team won division
WC%: Percentage of times team won wild card
PL%: Percentage of times team made the playoffs (Div% + WC%)

Although it looks like Boston's offense is on par with the Yankees superficially, it's not once you consider the park factors. The Yankees are probably about forty runs better than Boston offensively in a neutral park right now, although the converse applies to the pitching staffs.

Interestingly enough, for all the talk about Boston's great defense, they're not even the best defense in the division, with Tampa Bay projecting close to 20 runs better than Boston.

Anyway, expect lots to change before we can really have useful projected standings, so please don't take these too seriously.

--Posted at 11:22 am by SG / 35 Comments | - (122)




Tuesday, September 22, 2009

Oakland 9, Texas 1

With Texas losing to Oakland tonight, the Yankees have backed their way into clinching a playoff spot.  Yay, I guess. 

--Posted at 11:31 pm by SG / 5 Comments | - (119)




Thursday, September 10, 2009

When Might the Yankees Clinch the AL East (if they do)?

A few weeks back, I got an email from a reader who wondered if I could give him the probability of the Yankees clinching the division on certain dates. With a little bit of tweaking, I was able to rig my Monte Carlo simulator to do just that. I didn't want to post about it then because of the whole jinx/karma thing, but I think I can post it now.

Again, this is only IF the Yankees somehow manage to win the AL East against a clearly better Red Sox team. Nothing is decided yet.

Date %
9/19/2009 0.1%
9/20/2009 0.8%
9/21/2009 2.4%
9/22/2009 6.1%
9/23/2009 9.8%
9/24/2009 5.0%
9/25/2009 18.1%
9/26/2009 16.5%
9/27/2009 13.4%
9/28/2009 10.6%
9/29/2009 7.3%
9/30/2009 4.8%
10/1/2009 1.0%
10/2/2009 2.1%
10/3/2009 1.2%
10/4/2009 0.8%


Hmm, clinching at home against Boston on Friday, September 25 has the hightest probability right now. That'd be fun.

For all you pie chart freaks, here's how that looks in pie chart form.



And updating last week's post about win probabailities:



Win Totals %
97 0.3%
98 0.7%
99 1.8%
100 4.6%
101 8.2%
102 12.5%
103 16.5%
104 18.6%
105 15.6%
106 10.8%
107 6.2%
108 3.1%
109 0.9%
110 0.3%


Yeah, there's a 2.8% chance this team WON'T win at least 100 games. I like that.

If the Yankees go 10-11 from here on out, Boston would have to go 20-3 to tie them.

--Posted at 10:19 am by SG / 71 Comments | - (326)




Tuesday, September 1, 2009

August 2009 Yankee Splits

Unfortunately for us as Yankee fans, August ended with yesterday's 5-1 victory over Baltimore. Why is that unfortunate? Here are a few reasons.

The Yankees went into August with a 62-41 record and a 1.5 game lead in the AL East, having scored 569 runs and allowing 491 to that point. Today they sit at 83-48, having scored 744 runs and allowing 614. More importantly, they've now got a 6.5 game lead in the AL East.

So in August, the Yankees went 21-7, scored 175 runs, and allowed 123 runs. Here's how the individual players performed offensively, defensively, and in pitching.

Player AB R H 2B 3B HR RBI BB HBP K SB CS AVG OBP SLG BR
Derek Jeter 122 27 46 6 0 6 17 5 1 14 4 1 .377 .403 .574 24
Mark Teixeira 109 17 32 7 0 6 26 17 1 19 1 0 .294 .391 .523 22
Robinson Cano 118 19 41 13 0 5 16 2 0 13 0 1 .347 .358 .585 21
Johnny Damon 98 21 32 8 0 7 16 7 0 14 2 0 .327 .371 .622 21
Alex Rodriguez 92 19 29 3 1 4 12 18 3 23 2 0 .315 .442 .500 20
Nick Swisher 94 14 26 6 0 5 16 16 0 24 0 0 .277 .378 .500 18
Hideki Matsui 89 16 25 3 0 8 25 6 1 11 0 1 .281 .333 .584 16
Jorge Posada 75 9 21 7 0 4 16 8 0 24 0 0 .280 .345 .533 13
Melky Cabrera 103 14 23 5 1 2 13 5 1 12 3 0 .223 .264 .350 10
Jerry Hairston 41 10 12 3 0 2 10 7 1 5 0 0 .293 .400 .512 8
Eric Hinske 29 3 5 3 0 0 2 4 0 10 0 0 .172 .265 .276 2
Jose Molina 40 5 8 0 0 0 3 5 0 9 0 0 .200 .283 .200 2
Ramiro Pena 8 1 3 0 0 0 0 0 0 0 0 0 .375 .375 .375 1
Cody Ransom 4 0 0 0 0 0 0 0 0 3 0 0 .000 .000 .000 0


BR: Batting runs using linear weights

Player G GS W L Sv Sho IP H R ER HR BB K HBP ERA FIP K9 BB9 HR9 RSAR
CC Sabathia 6 6 5 0 0 0 44.3 36 14 13 5 6 49 0 2.64 2.86 10.0 1.2 1.0 15.5
Andy Pettitte 6 6 4 0 0 0 39.7 29 13 11 2 12 39 0 2.50 2.80 8.9 2.7 0.5 13.4
Mariano Rivera 11 0 0 0 8 0 11.3 9 1 1 1 4 12 0 0.79 3.29 9.5 3.2 0.8 6.5
Brian Bruney 9 0 1 0 0 0 10.3 10 1 1 0 7 5 1 0.87 4.55 4.4 6.1 0.0 5.9
Phil Hughes 11 0 1 0 0 0 10.3 7 2 2 0 4 16 0 1.74 1.26 13.9 3.5 0.0 4.9
Chad Gaudin 5 1 1 0 0 0 14.0 13 5 5 3 10 14 1 3.21 6.34 9.0 6.4 1.9 4.3
David Robertson 11 0 1 0 0 0 9.7 11 3 3 1 4 17 0 2.79 2.27 15.8 3.7 0.9 3.4
Alfredo Aceves 8 0 3 0 0 0 19.0 17 10 10 3 1 15 2 4.74 4.15 7.1 0.5 1.4 2.7
Damaso Marte 3 0 0 0 0 0 2.3 0 0 0 0 1 3 0 0.00 1.91 11.6 3.9 0.0 1.6
Mark Melancon 2 0 0 0 0 0 2.0 0 0 0 0 1 1 1 0.00 5.20 4.5 4.5 0.0 1.3
Sergio Mitre 5 4 2 1 0 0 23.0 26 14 11 5 6 14 1 4.30 5.72 5.5 2.4 2.0 1.3
A.J. Burnett 6 6 0 4 0 0 37.3 38 25 25 5 17 40 1 6.03 4.24 9.6 4.1 1.2 -0.1
Anthony Paul Claggett 1 0 0 0 0 0 1.0 2 2 2 0 2 1 0 18.00 7.20 9.0 18.0 0.0 -1.3
Phil Coke 12 0 2 0 0 0 9.7 12 12 12 3 4 7 0 11.17 7.03 6.5 3.7 2.8 -5.6
Joba Chamberlain 5 5 1 2 0 0 23.0 31 21 21 3 15 18 0 8.22 5.29 7.0 5.9 1.2 -5.7


RSAR: Runs saved above replacement

Player Tm Lg Pos G GS INN CH PM ZR AvgPM Diff RS
Rodriguez, Alex NYY AL 3B 23 22 201 55 46 .835 43 3 2
Swisher, Nick NYY AL RF 24 23 196 56 51 .911 49 2 2
Damon, Johnny NYY AL LF 23 22 202 36 33 .919 31 2 2
Hinske, Eric NYY AL RF 10 5 52 14 14 1.001 12 2 2
Teixeira, Mark NYY AL 1B 26 25 229 36 32 .893 30 2 1
Hairston Jr., Jerry NYY AL 3B 9 6 52 23 19 .826 18 1 1
Swisher, Nick NYY AL 1B 3 2 20 3 3 1.001 3 0 0
Hairston Jr., Jerry NYY AL SS 4 0 6 2 2 1.000 2 0 0
Ransom, Cody NYY AL 1B 1 1 8 2 2 1.000 2 0 0
Pena, Ramiro NYY AL 2B 1 1 6 1 1 1.000 1 0 0
Hairston Jr., Jerry NYY AL RF 6 0 9 1 1 1.000 1 0 0
Hinske, Eric NYY AL LF 2 1 17 8 7 .875 7 0 0
Swisher, Nick NYY AL LF 2 0 3 0 0 .000 0 0 0
Molina, Jose NYY AL 3B 1 0 2 0 0 .000 0 0 0
Pena, Ramiro NYY AL 3B 1 0 1 0 0 .000 0 0 0
Ransom, Cody NYY AL 3B 1 0 1 0 0 .000 0 0 0
Hairston Jr., Jerry NYY AL LF 5 4 35 6 5 .833 5 0 0
Cano, Robinson NYY AL 2B 28 27 251 82 66 .805 66 0 0
Cabrera, Melky NYY AL CF 27 26 242 59 53 .899 54 -1 0
Pena, Ramiro NYY AL SS 3 1 16 8 6 .749 7 -1 0
Hairston Jr., Jerry NYY AL CF 2 2 15 4 3 .750 4 -1 -1
Jeter, Derek NYY AL SS 27 27 235 76 62 .817 63 -1 -1
Total 1799 472 406 .861 397 9 8


INN: Defensive Innings at Position
CH: Playable Chances
PM: Plays Made
ZR: Zone rating (PM / CH)
AvgPM: PM by an average defender at same position over the same # of chances
Diff: PM minus AvgPM
RS: Runs saved above average using zone rating.

--Posted at 9:49 am by SG / 92 Comments | - (163)




Thursday, August 6, 2009

The Importance of This Red Sox Series

You may or may not be aware that there’s a somewhat important series coming up between the Yankees and the Red Sox.  After a 5-4 road trip where the Yankees were able to maintain a 2.5 game lead, here’s a look at how things stand.

Yankees: 65-42, 58.7% Div, 29.4% WC, 88.1% PL (chances at winning division, wild card, and making playoffs respectively)
Red Sox: 62-44, 36.7% Div, 41.4% WC, 78.1% PL

So let’s run through the possible outcomes:

Red Sox sweep
Yankees: 65-46, 31.4% Div, 45.4% WC, 76.8% PL
Red Sox: 66-44, 62.1% Div, 28.0% WC, 90.0% PL
Me breaking lots of stuff.

Red Sox take three of four
Yankees: 66-45, 43.4% Div, 42.5% WC, 85.9% PL
Red Sox: 65-45, 50.2% Div, 38.1% WC, 88.4% PL
Me breaking a fair amount of stuff.

Red Sox and Yankees split four
Yankees: 67-44, 60.7% Div, 30.3% WC, 91.0% PL
Red Sox: 64-46, 33.6% Div, 48.1% WC, 81.6% PL
Me breaking a thing or two.

Yankees take three of four
Yankees: 68-43, 69.4% Div, 24.8% WC, 94.2% PL
Red Sox: 63-47, 25.5% Div, 51.4% WC, 76.9% PL
Me slightly happy.

Yankees sweep
Yankees: 69-42, 80.2% Div, 15.9% WC, 96.1% PL
Red Sox: 62-48, 15.6% Div, 53.4% WC, 69.0% PL
Me very happy.

The Yankees realistically don’t have to win this series to remain solidly in the playoff hunt.  Even if they get swept, their playoff odds still look to be around 77%.  Split, and they are better off than they were entering the series.

However, after dropping eight of eight to a team that I’m very comfortable is no better than them, I think they need to win this series just to shut some people up. 

--Posted at 9:06 am by SG / 58 Comments | - (145)




Wednesday, August 5, 2009

MLB Monte Carlo Playoff Odds As Of August 4, 2009

Last Upate 8/5/2009
Iterations 10,000
Team W 1 Std RS RA TmStr Div WC PL Max Min
Dodgers 99.3 94-105 810 688 .595 91.1% 7.2% 98.3% 112 86
Angels 95.9 90-102 851 770 .567 88.8% 2.2% 91.0% 112 81
Phillies 93.5 88-99 836 762 .583 87.8% 1.5% 89.3% 109 78
Yankees 95.9 90-102 874 748 .587 53.3% 33.3% 86.6% 110 80
Red Sox 95.1 89-101 843 703 .597 42.0% 39.4% 81.4% 108 80
Cardinals 89.3 84-95 746 701 .543 49.4% 8.3% 57.6% 103 73
Tigers 85.8 80-92 765 749 .534 56.3% 0.2% 56.4% 101 69
Cubs 89.0 83-95 769 687 .550 47.0% 6.6% 53.6% 103 73
Rockies 89.3 84-95 802 766 .534 5.0% 38.3% 43.2% 102 74
Giants 88.5 83-94 679 655 .543 4.0% 30.9% 34.9% 106 74
Twins 82.9 77-89 772 776 .510 25.7% 0.2% 25.9% 97 68
Rays 88.8 83-94 820 707 .561 4.7% 17.1% 21.8% 104 74
White Sox 82.1 76-88 752 779 .505 17.9% 0.1% 18.1% 96 68
Rangers 87.0 81-93 774 797 .515 9.9% 6.1% 15.9% 106 73
Marlins 84.7 79-90 736 782 .521 7.7% 4.5% 12.2% 99 71
Braves 83.1 77-89 746 700 .521 4.4% 1.9% 6.3% 97 69
Brewers 80.3 75-86 768 790 .489 3.0% 0.5% 3.5% 93 64
Mariners 82.8 77-88 670 718 .499 1.4% 1.4% 2.8% 98 67
Astros 77.9 72-84 697 777 .464 0.6% 0.3% 0.9% 93 60
Mets 76.2 71-82 766 757 .474 0.1% 0.1% 0.2% 92 62
Blue Jays 76.9 71-83 800 800 .500 0.0% 0.1% 0.1% 92 63
Indians 69.7 64-75 816 817 .456 0.1% 0.0% 0.1% 86 54
Pirates 69.5 64-75 700 781 .441 0.0% 0.0% 0.0% 86 57
Orioles 68.0 62-74 769 851 .442 0.0% 0.0% 0.0% 83 55
Royals 63.0 57-69 678 807 .410 0.0% 0.0% 0.0% 77 50
Athletics 71.9 66-78 746 770 .465 0.0% 0.0% 0.0% 88 58
Nationals 55.4 50-61 744 865 .383 0.0% 0.0% 0.0% 71 40
Reds 70.1 64-76 690 777 .443 0.0% 0.0% 0.0% 84 56
Diamondbacks 73.7 68-79 732 740 .481 0.0% 0.0% 0.0% 88 60
Padres 64.9 59-71 659 794 .400 0.0% 0.0% 0.0% 81 51


W: Projected wins
1 Std: Win range within one standard deviation (Standard deviation is set to .035 on winning percentage over remaining games)
RS: Projected runs scored
RA: Projected runs allowed
TmStr: Team strength (estimated using 1/3 YTD WPCT, 1/3 YTD Pythagenpat, 1/3 2009 Projection). Team strength is also adjusted to reflect mid-season trades.
Div: Division title percentage
WC: Wild card percentage
PL: Div + WC
Max: High wins
Min: Low wins

As I mentioned in this previous post, these playoff odds are calculated using a Monte Carlo simulator that I downloaded from xlssports.com. I've tweaked it to work mid-season, and to allow me greater latitude when determining team strength, but the basic framework is the same. The odds are generally right around the average of Baseball Prospectus's various playoff odds reports. Simulations were run 10,000 times.

Teams are sorted in decreasing likelihood of making the postseason.
--Posted at 8:14 am by SG / 71 Comments | - (123)




Saturday, August 1, 2009

What a Difference Three Crappy Days Can Make

Date Team W L RS RA TmStr Div WC PL
29-Jul Yankees 96.9 65.1 877 741 .592 64.8% 25.0% 89.8%
1-Aug Yankees 95.3 66.7 873 749 .583 51.2% 29.9% 81.0%
Diff Yankees -1.6 1.6 -4 8 -.009 -13.6% 4.8% -8.8%


W: Projected wins
L: Projected losses
RS: Projected runs scored
RA: Projected runs allowed
TmStr: Team strength (estimated using 1/3 YTD WPCT, 1/3 YTD Pythagenpat, 1/3 2009 Projection)
Div: Division title percentage
WC: Wild card percentage
PL: Div + WC

These playoff odds are calculated using a Monte Carlo simulator that I downloaded from xlssports.com. I've tweaked it to work mid-season, and to allow me greater latitude when determining team strength, but the basic framework is the same. The odds are generally right around the average of Baseball Prospectus's various playoff odds reports. Both sets of simulations were run 10,000 times.

The Yanks will have to beat Mr. Perfect Mark Buehrle tomorrow to avoid a brutal sweep. Good luck with all that...
--Posted at 8:45 pm by SG / 8 Comments | - (115)




Monday, July 27, 2009

The Importance of This Tampa Bay Series

I was fiddling around with the standings to see how important this next series against Tampa Bay was.  Coming off their 9-1 home stand, the Yankees are 60-38 and lead Tampa Bay (54-45) by 6.5 games.  Here are the four scenarios:

Tampa Bay sweep
Yankees: 60-41
Rays: 57-45, 3.5 GB

Tampa Bay takes two of three
Yankees: 61-40
Rays: 56-46, 5.5 GB

Yankees take two of three
Yankees: 62-39
Rays: 55-47, 7.5 GB

Yankees sweep
Yankees: 63-38
Rays: 54-48, 9.5 GB

If the Yankees can take two of three then go 31-30 over their final 60 games of the season, the Rays would have to go 38-22 (.633 WPCT) over their final 60 games to catch them.  That’s the equivalent to a 103 win pace.  If the Yankees sweep, the Rays would have to go 40-20 (.666 WPCT / 108 win pace) to catch a 31-30 Yankee team.

Log5 would tell us the Rays should take two out of three, but if the Yankees can improve on that, they’ll be setting themselves up really nicely for the rest of the season.

Matchups for the series are:

Monday July 27
NYY: A.J. Burnett, RHP (9-4, 3.74) vs. TB: James Shields, RHP (6-6, 3.70)

Tuesday July 28
NYY: CC Sabathia, LHP (10-6, 3.67) vs. TB: Scott Kazmir, LHP (4-6, 6.69)

Wednesday, July 29
NYY: Joba Chamberlain, RHP (6-2, 3.86) vs. TB: Matt Garza, RHP (7-7, 3.68)

Since a wise man once said ‘You can’t predict baseball’, I won’t try.  In fact, I may throw all my stats into the East River.  But I will say that the first and third matchups look like they’re basically tossups, and the middle matchup seems like the key one for the Yankees, although we know Kazmir is better than he’s pitched so far this year.

Update: Part 2 of Chris Jaffe’s look at the best teams to never win a World Series is posted at the Hardball Times for anyone who may be interested.

--Posted at 1:29 am by SG / 77 Comments | - (144)




Thursday, July 23, 2009

Yankees.com: Yanks roll to their seventh straight win

NEW YORK—Mark Teixeira homered and drove in three runs to back CC Sabathia, as the Yankees earned their seventh straight win, posting a 6-3 victory over the A’s on Thursday at Yankee Stadium.

Teix and CC earned their salary tonight.

--Posted at 11:53 pm by SG / 143 Comments | - (183)



Before and After

Apr 6 - May 7
Runs Scored: 158
Runs Allowed: 178
PythagenPat Winning Percentage: 0.439
162 Game W-L: 71-91

May 8 - July 22
Runs Scored: 360
Runs Allowed: 271
PythagenPat Winning Percentage: 0.632
162 Game W-L: 102-60

--Posted at 12:02 am by SG / 121 Comments | - (175)




Tuesday, July 21, 2009

Yankees.com: Mitre doesn’t disrupt Yankees’ roll

NEW YORK—Prior to Tuesday’s game, Joe Girardi took time to denounce the notion that he is managing a rather streaky team. Then the Yankees went out and proved him wrong again.

Their 6-4 win over the Orioles was their fifth straight since the All-Star break, after a three-game losing streak in Anaheim that followed a run of 13 wins in 15 games. The Yankees are quite streaky, no question about it. But so far, their good streaks have far outweighed the bad.

This latest effort came thanks in large part to Sergio Mitre, joining the Yankees before the game to make his first start since Sept. 15, 2007. Mitre allowed four runs (three earned) in 5 2/3 innings, striking out four and walking one. Other than the three singles he allowed in the sixth inning—the third of them a two-run hit off the bat of Melvin Mora—Mitre remained in control of the game.

I was pretty happy with Mitre’s performance.  I’m not expecting a ton out of him, but if he can pitch 5-6 innings and keep the other team at 3-4 runs most of the time, he’ll be in line to help this team win a fair amount of games.

Oh, and with Boston losing at Texas, guess who’s in sole possession of first place in the AL East?  I’ll give you a hint, it’s not ‘the best team in baseball.’

Still, would it kill these guys to win a game by more than two runs once in a while?

--Posted at 9:36 pm by SG / 36 Comments | - (169)




Monday, July 20, 2009

Remaining Strength of Schedule for Boston, Tampa Bay and the Yankees

I was curious about the remaining strength of schedule for the big three in the AL East to see if it would impact what looks to be a tight race for the division and wild card, so I played around with Bill James's log5 to see if I could estimate it. Regular readers are probably familiear with log5, but if you're not there's a good synopsis of it here.

Although the original formula is a little more involved, it can essentially be reduced to winning percentage = .500 + A - B (where A is the estimated WPCT of one team, and B is the estimated WPCT of the other team). This assumes the teams are in the .400 to .600 area, which is generally true in 2009 MLB aside from Cleveland and Washington.

So, I looked at the strength of schedule using a few different ways of estimating team true talent. I'm looking at games from July 20th forward. Team winning percentages are adjusted for home field advantage (add .02 to WPCT for the home team, subtract .02 from WPCT for the road team). 2009 projection data is adjusted for roster changes, but projections themselves were not revised.

2009 WPCT(33.3%), 2009 PythagenPat WPCT(33.3%), 2009 Project WPCT(33.3%)
Team GR HGR Opp W% log5 W Final W
Yankees 71 36 .512 40.8 94.8
Red Sox 71 36 .512 41.7 96.7
Rays 70 36 .521 38.6 89.6


GR: Games remaining
HGR: Home games remaining
Opp W%: Estimated winning percentage of remaining opponents, adjusted for home field advantage
log 5 W: Estimated log 5 wins over remainder of season
Final W: Final estimated wins (YTD wins + log5 W)

2009 WPCT(25.0%), 2009 PythagenPat WPCT(25.0%), 2009 Project WPCT(50.0%)
Team GR HGR Opp W% log5 W Final W
Yankees 71 36 .511 41.1 95.1
Red Sox 71 36 .511 41.6 96.6
Rays 70 36 .518 38.7 89.7


2009 PythagenPat WPCT(100.0%)
Team GR HGR Opp W% log5 W Final W
Yankees 71 36 .516 39.1 93.1
Red Sox 71 36 .516 41.3 96.3
Rays 70 36 .525 39.7 90.7


2009 WPCT(50.0%), 2009 PythagenPat WPCT(50.0%)
Team GR HGR Opp W% log5 W Final W
Yankees 71 36 .514 40.1 94.1
Red Sox 71 36 .514 41.9 96.9
Rays 70 36 .528 38.5 89.5


No matter which methodology you look at, the numbers say the Yankees and Red Sox essentially have the same schedule going forward, with Tampa's schedule about one game harder. Realistically, what this tells me is that head-to-head matchups are probably going to be the determining factor going forward.

On an unrelated note, Chris Jaffe from The Hardball Times asked me to help out with an article he wanted to write about the best teams to never win a World Series. Part 1 is up for anyone who may want to check it out.

--Posted at 11:22 am by SG / 37 Comments | - (196)




Thursday, July 9, 2009

AL 3B Run Values Through the First Half of 2009

Player Team Pos PA AVG OBP SLG BRAR RSAA TRAR
Inge, Brandon* DET 3B 330 .267 .362 .505 18 11 28
Rolen, Scott TOR 3B 308 .325 .386 .480 20 6 26
Longoria, Evan* TB 3B 333 .285 .363 .536 21 3 24
Figgins, Chone LAA 3B 371 .310 .393 .402 19 4 23
Crede, Joe MIN 3B 262 .230 .298 .438 4 13 17
Rodriguez, Alex NYA 3B 231 .246 .411 .514 18 -2 16
Young, Michael* TEX 3B 355 .313 .369 .492 22 -10 11
Teahen, Mark KC 3B 319 .288 .348 .445 12 -2 10
DeRosa, Mark CLE 3B 314 .270 .342 .457 10 -2 9
Beckham, Gordon CHA 3B 110 .265 .339 .418 2 0 2
Hinske, Eric NYA 3B 6 .400 .500 1.000 1 1 2
Hannahan, Jack OAK 3B 134 .193 .278 .303 -5 6 1
Woodward, Chris SEA 3B 45 .300 .341 .325 0 1 1
Wood, Brandon LAA 3B 10 .333 .400 .333 0 0 0
Lowell, Mike BOS 3B 282 .282 .319 .470 6 -6 0
Salazar, Oscar BAL 3B 26 .385 .385 .500 1 -2 0
Gordon, Alex KC 3B 26 .095 .269 .238 -1 1 0
Buscher, Brian MIN 3B 117 .198 .333 .302 0 0 -1
Pena, Ramiro NYA 3B 92 .267 .308 .349 -1 0 -1
Wilson, Josh SEA 3B 2 .000 .000 .000 -1 -2 -2
Mora, Melvin BAL 3B 248 .257 .316 .314 -5 2 -3
Wigginton, Ty BAL 3B 220 .256 .295 .391 -2 -2 -4
Chavez, Eric OAK 3B 31 .100 .129 .133 -5 1 -4
Beltre, Adrian SEA 3B 313 .259 .291 .374 -4 0 -4
Berroa, Angel NYA 3B 24 .136 .174 .182 -3 -2 -5
Ransom, Cody NYA 3B 66 .177 .227 .306 -4 -3 -7
Fields, Josh CHA 3B 236 .230 .312 .359 -2 -6 -8


BRAR: Batting runs above replacement level (position and park-adjusted) using linear weights
RSAA: Runs saved above average defensively using zone rating for non-catchers
TRAR: Total runs above replacement level (BRAR + RSAA)
* denotes All Star
** stats were compiled as of July 7

Were Brandon Inge not voted in by the fans, he'd have been the top 3B in the AL so far but not an All Star. Inge's always had a very good glove at third, but this year he's hitting better than he ever has. Scott Rolen's having a good year on both sides of the ball, but apparently no one really cares. Evan Longoria's a very good player, and a worthy All Star, even if these particular metrics show him as a few runs worse than Inge and Rolen.

Obviously we know that Alex Rodriguez hasn't played a full season. If we gave him 350 PAs he'd slot in between Rolen and Longoria. But we can't. So he doesn't.

Michael Young's been the most valuable offensive 3B in the AL, but zone rating isn't a fan of his glove, which takes a big chunk out of his overall value. I thought this may be a ZR specific issue, but UZR has Young at -11, so there's not much disagreement there. And look at Cody Ransom. He's not the least valuable 3B in the AL this year after all.

Oh, and this is pretty cool.

--Posted at 10:37 pm by SG / 38 Comments | - (123)




Wednesday, July 1, 2009

Yankees.com: Yanks make it six straight, pick up Bruney

NEW YORK—When Brian Bruney came off the disabled list, the plan was to immediately insert him back into the eighth-inning setup role. That was about two weeks ago, when there was nothing but doubt surrounding the Yankees’ bullpen situation. When the bridge to Mariano Rivera was teetering and in danger of crumbling, the Yankees took comfort in knowing Bruney would soon be back.

Then, suddenly, the bullpen without Bruney righted itself. Alfredo Aceves and David Robertson demonstrated they could pitch key innings. Phil Hughes went from being a struggling starter to a seemingly unhittable reliever. It wasn’t that they didn’t need Bruney. Instead, he would fit in as just another cog in a sturdy machine.

It hasn’t been quite that easy. Bruney has struggled of late in the eighth and has not slid back into the bullpen the way the Yankees hoped. True, they won on Tuesday, beating the Mariners, 8-5, in front of 46,181 at Yankee Stadium for their sixth straight victory. But in many ways the contest raised more questions than it answered.

PHil Hughes should pitch the eighth…

Bruney’s struggles were the major negative in last night’s win.  I didn’t get to watch the game as I was on the road, but I listened and it sounded like Joba wasn’t great, but serviceable.  It sounded like Phil Coke and Hughes were great, and then Bruney just stunk.  Of course, John Sterling’s too busy telling us that you can’t predict baseball to give much in the way of details about how the game is actually unfolding, although I digress.

Anyway, the Yankees win coupled with the Red Sox blowing a 10-1 seventh inning lead made for a fun night in the AL East, with the Yankees moving within two games in the loss column of the AL East lead.

--Posted at 7:23 am by SG / 155 Comments | - (172)




Monday, June 22, 2009

Yet Another Example of Why Interleague Play Stinks

Team W% vs AL W% vs NL Diff
Min 0.486 0.702 0.216
Det 0.484 0.681 0.197
KC 0.422 0.596 0.174
LAA 0.574 0.702 0.128
Bal 0.416 0.532 0.116
Tex 0.477 0.574 0.098
TB 0.499 0.553 0.055
Oak 0.458 0.511 0.053
Sea 0.461 0.511 0.050
Bos 0.588 0.617 0.029
CWS 0.493 0.478 -0.015
NYY 0.568 0.532 -0.036
Tor 0.533 0.447 -0.086
Cle 0.542 0.383 -0.159


W% vs AL: Team winning percentage vs. other AL teams (2007 - 2009)
W% vs NL: Team winning percentage vs. NL teams (2007 - 2009)
Diff: W% vs. NL minus W% vs. AL
--Posted at 12:03 am by SG / 43 Comments | - (209)




Wednesday, May 27, 2009

Yankees.com: Yanks mash to earn win for Burnett

ARLINGTON—A.J. Burnett hurled six scoreless innings for his first victory in more than a month and Hideki Matsui homered twice as the Yankees routed the Rangers, 9-2, on Wednesday at Rangers Ballpark in Arlington.

After winning his first two starts as a Yankee, Burnett had not posted a victory since April 14 but came out firing against Texas in an effort to snap that string, hurling six innings of three-hit ball, walking four and striking out seven.

--Posted at 10:39 pm by SG / 61 Comments | - (133)




Saturday, May 23, 2009

Yankees.com: Yanks walk off on Cabrera’s hit in ninth

NEW YORK—Much has been made of the abundance of home runs flying out of the new Yankee Stadium. And while Saturday afternoon’s game saw four balls leave the park, it was another trend in the Yankees’ new digs that landed them the win.

With one out in the ninth inning, Melky Cabrera laced a single into right-center, scoring Robinson Cano and giving the Yankees a 5-4 walk-off win over the Phillies, in front of a crowd of 46,889.

Melky’s making a lot of us look dumb, huh?  I hope he can keep it up.

This team sure has been fun to watch lately. 

And this is cool too.

--Posted at 10:12 pm by SG / 37 Comments | - (144)




Sunday, May 17, 2009

Playing Out the Rest of May Another 1000 Times

Same idea as in this post, playing out the rest of May from today forward.

Team W L RF RA
Baltimore 6 8 66 71
Boston 8 6 72 59
Yankeees 9 5 77 59
Tampa Bay 9 6 75 63
Toronto 6 8 58 64


Now, that's obviously not likely to happen exactly, but if it did, here's how the AL East standings would look on June 1.

Team W L RF RA GB
Toronto 31 22 281 234 0.0
Boston 30 21 278 246 1.0
Yankeees 28 22 272 269 1.5
Tampa Bay 27 26 276 250 4.0
Baltimore 22 29 254 289 8.0
--Posted at 8:50 am by SG / 15 Comments | - (110)




Friday, May 8, 2009

Log5 Checkpoint Through Games of May 7

When we last checked in on the Yankees and how their performance stacked up compared to log5 expectations, the Yankees were 9-6 compared to an estimated 8.6-6.4.

Here's how their actual performance compares to what log5 would have expected for the games between April 24 and May 7.

Date Game Yankee W% Opp W% log5 W log5 L Act W Act L Diff
4/24/2009 Yankees at Red Sox .462 .538 9.1 6.9 9.0 7.0 -0.1
4/25/2009 Yankees at Red Sox .462 .538 9.5 7.5 9.0 8.0 -0.5
4/26/2009 Yankees at Red Sox .462 .538 10.0 8.0 9.0 9.0 -1.0
4/27/2009 Yankees at Tigers .541 .459 10.5 8.5 9.0 10.0 -1.5
4/28/2009 Yankees at Tigers .541 .459 11.1 8.9 10.0 10.0 -1.1
4/29/2009 Yankees at Tigers .541 .459 11.6 9.4 11.0 10.0 -0.6
4/30/2009 Angels at Yankees .600 .400 12.2 9.8 12.0 10.0 -0.2
5/1/2009 Angels at Yankees .600 .400 12.8 10.2 13.0 10.0 0.2
5/2/2009 Angels at Yankees .600 .400 13.4 10.6 13.0 11.0 -0.4
5/4/2009 Red Sox at Yankees .545 .455 14.0 11.0 13.0 12.0 -1.0
5/5/2009 Red Sox at Yankees .545 .455 14.5 11.5 13.0 13.0 -1.5
5/6/2009 Rays at Yankees .565 .435 15.1 11.9 13.0 14.0 -2.1
5/7/2009 Rays at Yankees .565 .435 15.6 12.4 13.0 15.0 -2.6


Yankee W%: Yankees expected winning percentage adjusted for home/road games.
Opp W%: Yankee opponents' expected winning percentage adjusted for home/road games.
log5 W: Expected wins based on Yankee and opponent winning percentage using the log5 formula.
log5 L: Expected losses based on Yankee and opponent winning percentage using the log5 formula.
Act W: Actual wins.
Act L: Actual losses.
Diff: Act W - log5 W (Greater than 0 means ahead of pace, less than 0 means behind pace)

Winning percentages are based on PythagenPat and are calculated using a weight of 10% for 2009 actual performance and 90% for the cumulative 2009 projections from the Diamond Mind projections I ran in March.

Basically, what this is saying is that if the Yankees really were expected to win around 95 games, they're now on pace to win 92.4. A 2.5 game underperformance over just 13 games is pretty Veras-y. Still, a a little hot streak should be able to get them back to where they need to be. The question is, do they have that in them?

--Posted at 8:17 am by SG / 105 Comments | - (184)




Wednesday, May 6, 2009

MLB.com: No panic, but no comfort, for Yankees

“We know why,” said Damon, when asked how the Red Sox had been able to coast through the first five games of the season series. “They outplayed us. They outpitched us. All of the games were fairly close, but at this point of the season, they’re a better team than we are.”

With their loss on Tuesday in the finale of an abbreviated two-game series, the Yankees have lost their first five games against the Red Sox for the first time since 1985. That year, the punishment was manager Yogi Berra’s job—he was fired one series later, after 6-10 start. The Yankees have not lost their first six contests against the Red Sox since 1912, when they finished the season 50-102 and were still called the New York Highlanders.

The Yankees are back at .500 with a record of 13-13.  When #13 returns, can the real season begin?

--Posted at 11:31 am by Jonathan / 71 Comments | - (139)




Wednesday, April 22, 2009

Log5 Checkpoint Through Games of April 22

Date Game Yankee W% Opp W% log5 W log5 L Act W Act L Diff
4/6/2009 Yankees at Orioles .584 .416 0.6 0.4 0.0 1.0 -0.6
4/8/2009 Yankees at Orioles .584 .416 1.2 0.8 0.0 2.0 -1.2
4/9/2009 Yankees at Orioles .584 .416 1.8 1.2 1.0 2.0 -0.8
4/10/2009 Yankees at Royals .591 .409 2.3 1.7 2.0 2.0 -0.3
4/11/2009 Yankees at Royals .591 .409 2.9 2.1 3.0 2.0 0.1
4/12/2009 Yankees at Royals .591 .409 3.5 2.5 3.0 3.0 -0.5
4/13/2009 Yankees at Rays .483 .517 4.0 3.0 3.0 4.0 -1.0
4/14/2009 Yankees at Rays .483 .517 4.5 3.5 4.0 4.0 -0.5
4/15/2009 Yankees at Rays .483 .517 5.0 4.0 5.0 4.0 0.0
4/16/2009 Indians at Yankees .597 .403 5.6 4.4 5.0 5.0 -0.6
4/17/2009 Indians at Yankees .597 .403 6.2 4.8 6.0 5.0 -0.2
4/18/2009 Indians at Yankees .597 .403 6.8 5.2 6.0 6.0 -0.8
4/19/2009 Indians at Yankees .597 .403 7.4 5.6 7.0 6.0 -0.4
4/21/2009 Athletics at Yankees .617 .383 8.0 6.0 8.0 6.0 0.0
4/22/2009 Athletics at Yankees .617 .383 8.6 6.4 9.0 6.0 0.4


Yankee W%: Yankees expected winning percentage adjusted for home/road games.
Opp W%: Yankee opponents' expected winning percentage adjusted for home/road games.
log5 W: Expected wins based on Yankee and opponent winning percentage using the log5 formula.
log5 L: Expected losses based on Yankee and opponent winning percentage using the log5 formula.
Act W: Actual wins.
Act L: Actual losses.
Diff: Act W - log5 W (Greater than 0 means ahead of pace, less than 0 means behind pace)

After splitting with Cleveland, the Yankees were about 0.8 wins behind where they should have been. However, after taking two straight from Oakland they're now about 0.4 games ahead of where they should be. Log5 says that the Yankees should go 1.4-1.6 in Boston, which basically means as long as they take 1 of 3 they will remain on their expected pace for 95 wins.
--Posted at 10:05 pm by SG / 178 Comments | - (166)




Friday, April 10, 2009

Revised CAIRO Playoff Odds through games of April 9

While tooling around the internets, I found a cool Monte Carlo simulator spreadsheet for the baseball season at a site called xlsSports. I've modified it to import the current standings and then run the season going forward, and I've set it up to use a weighted average of YTD and 2009 projections to figure out the strength of the teams. I've also modified the basic Pythagorean theorem formula it uses to the more accurate PythagenPat formula. Both of those formulas use a team's runs scored and runs allowed to determine the strength of the team and calculate it's winning percentage going forward.

Anyway, what this will let me do is run updated playoff odds for the six projection systems I used in the Diamond Mind Projection Blowout, as well as with the combined projections whenever I feel like it. I'll create a page where I will keep these updated, but for now here's a sneak peak at the CAIRO version, run 10,000 times.

System cairo
Div Team W L RF RA Div% WC% PO% Max Min
ALE TAM 94.2 67.8 804 695 38.9% 29.1% 68.0% 121 67
ALE NYA 93.7 68.3 867 724 35.1% 29.8% 65.0% 122 62
ALE BOS 92.1 69.9 843 739 25.4% 28.6% 54.0% 118 67
ALE TOR 77.4 84.6 690 717 0.5% 1.6% 2.0% 105 50
ALE BAL 73.5 88.5 801 870 0.1% 0.4% 0.5% 100 48
Div Team W L RF RA Div WC PO% Max Min
ALC CLE 84.4 77.6 810 808 38.6% 1.3% 39.9% 112 53
ALC DET 84.2 77.8 774 764 37.4% 1.2% 38.6% 110 56
ALC MIN 79.2 82.8 718 748 13.7% 0.6% 14.3% 106 52
ALC KC 76.2 85.8 717 835 6.5% 0.3% 6.8% 103 50
ALC CHA 74.1 87.9 739 782 3.7% 0.2% 3.8% 102 46
Div Team W L RF RA Div WC PO% Max Min
ALW LAA 86.2 75.8 768 729 41.9% 2.5% 44.4% 112 57
ALW OAK 85.4 76.6 767 752 35.7% 2.6% 38.3% 110 58
ALW SEA 81.7 80.3 721 728 17.6% 1.6% 19.2% 114 52
ALW TEX 76.2 85.8 820 881 4.7% 0.4% 5.1% 103 47
Div Team W L RF RA Div WC PO% Max Min
NLE NYN 91.5 70.5 842 778 42.4% 16.3% 58.7% 118 62
NLE ATL 91.3 70.7 800 730 40.7% 16.3% 57.1% 119 63
NLE PHI 86.0 76.0 834 798 13.9% 10.4% 24.3% 113 54
NLE FLA 79.3 82.7 777 836 2.6% 2.4% 5.0% 105 53
NLE PIT 74.2 87.8 799 903 0.3% 0.5% 0.8% 102 50
Div Team W L RF RA Div WC PO% Max Min
NLC CHN 96.3 65.7 845 730 77.2% 7.7% 85.0% 124 69
NLC STL 86.7 75.3 797 745 13.8% 14.6% 28.4% 113 58
NLC MIL 82.9 79.1 780 784 5.6% 7.0% 12.6% 112 55
NLC CIN 80.9 81.1 738 781 3.1% 4.0% 7.2% 111 53
NLC HOU 72.8 89.2 740 829 0.2% 0.3% 0.5% 100 47
NLC WAS 70.8 91.2 763 885 0.1% 0.1% 0.2% 97 42
Div Team W L RF RA Div WC PO% Max Min
NLC LAN 90.7 71.3 818 761 56.1% 5.9% 62.0% 118 63
NLC SF 84.7 77.3 764 746 18.0% 5.6% 23.6% 112 56
NLC COL 83.2 78.8 841 822 13.1% 4.4% 17.5% 111 58
NLC ARI 82.5 79.5 739 724 11.0% 3.8% 14.8% 111 57
NLC SD 75.8 86.2 729 820 1.8% 0.6% 2.4% 101 49


RF: Runs for
RA: Runs against
Div%: Percentage of times the team won their division
WC%: Percentage of times the team won the wild card
PO%: Playoff % (Div% + WC%)
Max: High win total
Min: Low win total

One note, this is a blatant ripoff of Baseball Prospectus's various Playoff Odds Reports, except that I know what the input data is so I'm more comfortable with it. If anyone sees anything that doesn't look right, let me know.
--Posted at 9:00 am by SG / 31 Comments | - (176)




Monday, March 30, 2009

The 2009 Diamond Mind Projection Blowout - American League Edition

Opening Day is almost here, so it’s time to present my annual Diamond Mind Projection blowout.  The idea behind this is to take several projection systems and run the 2008 season through Diamond Mind Baseball, which I consider to be the most statistically accurate baseball simulator out there.

I’ve done this for the last few years.  If you want to see how previous runs have gone, here are the links:

2005
2006
2007
2008

As you can see if you look at the prior runs, the results can be hit and miss, but that’s certainly understandable.  This year, I’m again using six different projection systems, and I’ve run each one 1000 times for a total of 6000 iterations.

Before I present the projected standings, it’s disclaimer time.
1) Projection systems are inherently limited in their accuracy, particularly for pitchers.  We can get a rough idea of how most players will perform by looking at their past histories and how similar players have performed, and factoring in aging and regression, but abilities/talent can change in ways that can’t be forecasted.

2) Playing time distribution in these simulations will not match the actual playing time of the players involved.  I used the rosters and depth charts available at MLB.com and Baseball Prospectus as my guide to set these up as realistically as possible, but it’s a possible source of error.  Rosters were set up to have 35-40 or so active players per team, and to get a reasonable amount of playing time from the bench and extra pitchers, to more closely model reality.

3) We cannot predict injuries and/or roster changes.  These simulations do include projected playing time based on past health issues, so someone like Rich Harden is not expected to make 30 starts.  I’ve also included random injuries which may lead to some of the outlying results you see, but there’s no way to account for all the fluctuations that will happen with rosters this season.

4) These are the averages of 1000 seasons, so the results will tend to regress towards the mean.  The final standings will not look like this, because they only play the season once.

5) These are NOT my predictions.  These are projections based on running a computer simulation thousands of times with projection data that is inherently limited.  If your favorite team doesn’t project well, don’t blame me, blame the computers and spreadsheets that projected them.  I guess you can blame me for the CAIRO results if you want, otherwise you can take heart in the 2005 White Sox projecting to win 79 games, the 2006 Tigers projecting to win 80, or the 2007 Rockies projecting to win 79.

6) Since this is all automated, I don’t break ties.  I simply award all ties a share of either the division title or wild card when it happens which is why you may see some funny decimal places in the standings that follow.

OK, so now that the disclaimers are out of the way, onto the projected standings.  I am showing W-L to one decimal point to deal with displayed rounding issues and so I don’t get people asking me why the wins and losses don’t add up to exactly 2430, not to imply that these results are that precise.

There’s too much crap to fit it all into one post, so I’ve created separate posts for both leagues, and then a separate post for each projection system.

2009 Diamond Mind Projection Blowout - National League Summary
2009 Diamond Mind Projection Blowout - CHONE edition
2009 Diamond Mind Projection Blowout - Hardball Times edition
2009 Diamond Mind Projection Blowout - Marcel edition
2009 Diamond Mind Projection Blowout - PECOTA edition
2009 Diamond Mind Projection Blowout - ZiPS edition
2009 Diamond Mind Projection Blowout - CAIRO edition

And here are the combined standings of all 6000 projections:

AL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYA 95.9 66.1 853 711 2908.8 1776.2 90 - 102 813 - 894 673 - 749 96 98 3058 1897 963 74 8 0 100 95 - 104
BOS 94.3 67.7 837 703 2157.3 2053.4 88 - 101 796 - 879 667 - 739 94 94 2295 2205 1351 130 19 0 94 90 - 98
TAM 90.1 71.9 795 695 916.3 1591.2 84 - 96 756 - 834 659 - 732 90 89 1009 1735 2753 431 72 0 88 83 - 92
TOR 75.6 86.4 691 742 9.4 80.3 69 - 82 654 - 728 705 - 780 76 74 14 100 410 2979 2497 0 78 74 - 83
BAL 74.5 87.5 781 844 8.3 46.3 68 - 81 742 - 820 803 - 885 74 74 10 63 320 2457 3150 0 71 66 - 76
AL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CLE 85.5 76.5 803 754 2958.1 110.7 79 - 92 763 - 843 716 - 792 86 88 3092 1619 775 378 136 0 89 85 - 94
DET 81.4 80.6 784 775 1526.9 77.7 75 - 88 745 - 822 736 - 814 82 83 1629 1751 1159 901 560 0 83 80 - 87
MIN 79.5 82.5 748 769 1017.4 75.1 73 - 86 710 - 786 729 - 808 79 78 1102 1378 1558 1262 700 0 79 76 - 82
KC 74.6 87.4 728 801 259.1 18.5 68 - 81 690 - 766 761 - 841 75 75 291 746 1328 1652 1983 0 75 71 - 78
CHA 74.1 87.9 751 826 238.5 17.5 68 - 80 713 - 790 787 - 865 74 74 266 676 1188 1674 2196 0 69 65 - 74
AL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAA 85.4 76.6 777 734 3356.4 55.8 79 - 92 737 - 816 696 - 772 85 86 3498 1607 708 187 0 0 88 84 - 93
OAK 81.1 80.9 768 755 1563.4 60.3 75 - 87 728 - 808 717 - 793 81 82 1673 2155 1607 565 0 0 82 78 - 86
SEA 77.8 84.2 710 737 882.8 26.9 71 - 84 673 - 746 698 - 775 78 77 961 1631 1998 1410 0 0 77 73 - 80
TEX 72.1 89.9 776 879 199.1 10.2 66 - 79 737 - 815 835 - 924 72 72 227 672 1578 3523 0 0 70 64 - 75
Avg WC 93.3


Legend
W:Average wins over 6000 seasons
L:Average losses over 6000 seasons
RF:Average runs for(scored) over 6000 seasons
RA:Average runs allowed over 6000 seasons
Div: Number of division titles won over 6000 seasons. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.

I'll run through the divisions and teams briefly:

AL East
Regular readers know that this whole exercise is just an excuse to make use of pie charts, so I'll start off each division writeup with a pie chart showing the breakdown for how the division titles were distributed. The pie charts here are for the combination of all projections. To look at the same thing for each separate projection just go to the appropriate link(s) above.



Team: New York Yankees
Avg Prj W: 96
2008 Actual W: 89
2008 PythagenPat W: 87
W Diff: 7
PythagenPat W Diff: 9
Avg Prj RF: 853
2008 RF: 789
RF Diff: 64
Avg RA: 711
2008 RA: 727
RA Diff: -16
RF+RA Diff: 80
Division %: 48%
Wild Card %: 30%
Playoff %: 78%
High W: 98 (hbt)
Low W: 94 (marcel)
Gap: 4
Avg Div Plc: 1

Are the Yankees the best team in baseball? The numbers think so, although they thought so last year as well. The pitching and defense projects to be about two wins better than last season, but the bigger gain is on the offensive side (+65 runs) based on adding Mark Teixeira and Nick Swisher, plus more expected contributions from Robinson Cano, Jorge Posada and Hideki Matsui. So a projected 81 run differential improvement adds about seven wins to last year's actual 89 win team, and about nine to their PythagenPat 87 wins.

Why they might be better than projected: We can't predict injuries, but in order to handle some of the downside risk I restricted Alex Rodriguez's playing time to around 120 games and Jorge Posada to around 100 games. On the pitching side I assumed that they will not get full seasons out of any of A.J. Burnett (around 27 starts), Chien-Ming Wang (around 26 starts), Andy Pettitte (around 25 starts) and Joba Chamberlain (around 23 starts). If those four are able to make more starts than that the Yanks should be a little better.

Why they might be worse than projected: They're not as deep as they could be. Having the loser of the Nady/Swisher battle around for corner oF and 1B depth will help, but they're susceptible at other positions. Right now the rotation looks solid, and with Phil Hughes, Ian Kennedy and Alfredo Aceves around they have some decent projected depth, but it's a reasonable question how good any of those three may be in 2009 if pressed into duty. The bullpen has some talented arms who project fairly well, but aside from Mariano Rivera they all carry some risk.

Legend
Avg Prj W: Average projected wins
2008 Actual W: Actual wins in 2008
2008 PythagenPat W: 2008 PythagenPat Wins
W Diff: Avg Prj W - 2008 Actual W
PythagenPat W Diff: Avg Prj W - 2008 PythagenPat W
Avg Prj RF: Average projected runs scored
2008 RF: 2008 runs scored
RF Diff: Avg Prj RF - 2008 RF
Avg RA: Average projected runs allowed
2008 RA: 2008 runs allowed
RA Diff: Avg Prj RA - 2008 RA
RF+RA Diff: Projected run differential delta
Division %: Percentage of times the team won their division
Wild Card %: Percentage of time the team won the wild card
Playoff %: Division% plus Wild Card %
High W: Higest average W projection and system
Low W: Lowest average W projection and system
Gap: Gap between High W and Low W
Avg Div Plc: Average place in division

Team: Boston
Avg Prj W: 94
2008 Actual W: 95
2008 PythagenPat W: 96
W Diff: -1
PythagenPat W Diff: -2
Avg Prj RF: 837
2008 RF: 845
RF Diff: -8
Avg RA: 703
2008 RA: 694
RA Diff: 9
RF+RA Diff: -17
Division %: 36%
Wild Card %: 34%
Playoff %: 70%
High W: 96 (chone)
Low W: 92 (marcel)
Gap: 4
Avg Div Plc: 2

Boston returns just about all their key players from last year's 96 win PythagenPat team, but they are projected to score a few less runs and allow a few more, which knocks them down by a win. Given the margin of error we're dealing with here, I'd say they are basically even with the Yankees, although they're tough to project given the uncertainty of some of their off-season signings.
Why they might be better than projected: The biggest reason is Jon Lester. Lester was outstanding last year as he appeared to finally have regained his strength after his cancer scare. However, the projection systems don't care about why Lester struggled in his prior seasons. They just see that he did and that suppresses his projections in 2009. While the jump in his innings last year is a possible concern, I'd estimate that a healthy Lester should be at least a win better than projected. The projection systems also expect Dustin Pedroia and Kevin Youkilis to regress somewhat. It's tough to say what kind of contributions they'll get out of Smoltz/Penny and Saito, all of whom are talented but who are all working their way back from injuries. If any of them can rebound somewhat, that will help out a bit.

Why they might be worse than projected: Daiskuke Matsuzaka outpitched his peripherals last year and may struggle to match his efficacy of last season. David Ortiz is projected to bounce back a fair amount but it's possible that his wrist injury may make that hard. Jed Lowrie looks entrenched as the starting SS, and while his defensive metrics were very good in a very small sample size last season, his minor league scouting reports are less sanguine about his defense. It's entirely possible that none of Penny/Smoltz/Saito contribute anything meaningful. Still, I unfortunately have a hard time seeing them being much worse.

Team: Tampa Bay
Avg Prj W: 90
2008 Actual W: 97
2008 PythagenPat W: 92
W Diff: -7
PythagenPat W Diff: -2
Avg Prj RF: 795
2008 RF: 774
RF Diff: 21
Avg RA: 695
2008 RA: 671
RA Diff: 24
RF+RA Diff: -3
Division %: 15%
Wild Card %: 27%
Playoff %: 42%
High W: 92 (pecota)
Low W: 88 (chone)
Gap: 4
Avg Div Plc: 3

The upstart Rays (Tampa Bay fans have to be tired of the word upstart by now) surprised most of the mainstream media with their performance last season, although CHONE and PECOTA both expected them to be pretty good. The secret's out now, but this is a very talented group of players and they should be in the thick of the AL East and wild card race all season.

Why they might be better than projected: 23. 24. 25. 27. Most of their key players are young and have the potential for growth beyond what the typical aging patterns built into projections systems would assume. They've got a deep farm system which can help them patch from within or go out and trade for help if needed. David Price's projections are pretty conservative in general based on the little pro experience he has. Although he'll start the season in AAA, he has a good chance to be up soon and to contribute more than projected if you go by his stuff and his scouting reports.

Why they might be worse than projected: They got some out of character performances from several relievers last year, and some or all of them could digress a touch. Like everyone, injuries could hurt them, although their overall organizational depth should mitigate that. They're in probably the toughest division in baseball, although they're a big part of that.

Team: Toronto
Avg Prj W: 76
2008 Actual W: 86
2008 PythagenPat W: 93
W Diff: -10
PythagenPat W Diff: -17
Avg Prj RF: 692
2008 RF: 714
RF Diff: -22
Avg RA: 742
2008 RA: 610
RA Diff: 132
RF+RA Diff: -154
Division %: 0%
Wild Card %: 1%
Playoff %: 1%
High W: 77 (cairo)
Low W: 74 (pecota)
Gap: 3
Avg Div Plc: 4

Why they might be better than projected: Travis Snider is a very good prospect, but his average projection is only .255/.321/.426. He has the talent to exceed that although he's still very young. They have arguably the most valuable pitcher in baseball at the front of their rotation. Vernon Wells could play a full season.

Why they might be worse than projected: They've got a lot of question marks in their rotation, and their offense looks unimpressive. If Baltimore makes a leap forward, it will likely come at the expense of the Jays.

Team: Baltimore
Avg Prj W: 74
2008 Actual W: 68
2008 PythagenPat W: 73
W Diff: 6
PythagenPat W Diff: 1
Avg Prj RF: 781
2008 RF: 782
RF Diff: -1
Avg RA: 844
2008 RA: 869
RA Diff: -25
RF+RA Diff: 24
Division %: 0%
Wild Card %: 1%
Playoff %: 1%
High W: 76 (chone)
Low W: 73 (pecota)
Gap: 3
Avg Div Plc: 5

Baltimore's not really a bad team right now. Unfortunately for them, they're in the AL East. I calculate a rough dvisional penalty using the formula N - N/2 times Opponent's winning percentage, where N is the number of interdivisional games. In Baltimore's case, their collective AL East oppenents project to a winning percentage of .5495, so their AL East penalty is around 4 wins. Out of curiosity, I flipped Milwaukee with Baltimore and ran 100 simulations. Baltimore went from 74-88 on average to 81-81, and Milwaukee went from 83-79 on average to 75-87.

Why they might be better than projected: They have Matt Wieters 'Nuff said. Actually, that's lazy. They also have Nick Markakis, who's awesome, and Adam Jones and Felix Pie who have the talent to be awesome. Rich Hill looked like he was on the verge of being a solid lefty starter until his back and control deserted him. While the odds of it are small, he could return to where he was in 2007.

Why they might be worse than projected: Their rotation is full of question marks. Adam Eaton may actually pitch for them. They are going to have a crap load of tough games.

Here's a clustered column look at how many times each team placed 1st, 2nd, 3rd, etc.,



AL Central


Team: Chicago White Sox
Avg Prj W: 74
2008 Actual W: 89
2008 PythagenPat W: 89
W Diff: -15
PythagenPat W Diff: -15
Avg Prj RF: 751
2008 RF: 811
RF Diff: -60
Avg RA: 826
2008 RA: 729
RA Diff: 97
RF+RA Diff: -157
Division %: 4%
Wild Card %: 0%
Playoff %: 4%
High W: 77 (cairo)
Low W: 72 (zips)
Gap: 5
Avg Div Plc: 5

Why they might be better than projected: Because they almost always are?
2005: +20
2006: + 8
2007: - 4
2008: +15
Those are the differences between the White Sox projections I've run since 2005 and their actual win totals. When a model misses once, it could be luck. When it misses twice it could also be luck. When it misses three times, it could conceivably still be luck, but more likely it points to some kind of systemic error in the model.

They may not project well statistically, but I think Kenny Williams and his scouts do well in identifying breakout candidates and players who are better-suited to their ballpark. I also think Don Cooper is one of the best pitching coaches in baseball and that helps them too. The projections generally assume regression from Carlos Quentin, Gavin Floyd and John Danks, but it's certainly possible all have improved tangibly enough to make those projections pessimistic given their ages (26, 26 and 23 respectively).

Why they might be worse than projected: Their young players could all hit/pitch like their projections say, and their older players like Jermaine Dye and Jim Thome could start to show the effects of their age.

Team: Cleveland
Avg Prj W: 86
2008 Actual W: 81
2008 PythagenPat W: 85
W Diff: 5
PythagenPat W Diff: 1
Avg Prj RF: 803
2008 RF: 805
RF Diff: -2
Avg RA: 754
2008 RA: 761
RA Diff: -7
RF+RA Diff: 5
Division %: 49%
Wild Card %: 2%
Playoff %: 51%
High W: 88 (chone)
Low W: 84 (hbt)
Gap: 4
Avg Div Plc: 1

Why they might be better than projected: After leading the league in OPS+ in 2004 and 2006, Travis Hafner's performance has plummetted. He's still fairly young and a rebound by him would be a big boost to the Indians' lineup. Grady Sizemore's already playing at an MVP-level clip but he's still young enough to have some more growth in him. Cliff Lee's probably not going to be as good as he was in 2008, but he also may not regress as much as the projections expect.

Why they might be worse than projected: Hafner may not rebound at all. They've got Carl Pavano as their #3 starter. They could use a little more power from the infield and OF corners than they project to get.

Team: Detroit
Avg Prj W: 81
2008 Actual W: 74
2008 PythagenPat W: 78
W Diff: 7
PythagenPat W Diff: 3
Avg Prj RF: 784
2008 RF: 821
RF Diff: -37
Avg RA: 775
2008 RA: 857
RA Diff: -82
RF+RA Diff: 45
Division %: 25%
Wild Card %: 1%
Playoff %: 27%
High W: 85 (chone)
Low W: 76 (marcel)
Gap: 9
Avg Div Plc: 2

Why they might be better than projected: Their defense should be better with Inge at third and Adam Everett as short. Miguel Cabrera is still one of the best hitters in baseball. Gary Sheffield looked cooked in 2008, but if healthy he could exceed his projections. Justin Verlander also has the talent to outpitch his projections by a non-trivial amount.

Why they might be worse than projected: Their rotation is still a little iffy with Jeremy Bonderman's health status and Dontrelle Willis's lost talent. Brandon Lyon's penciled in as the closer right now but his health and effectiveness are legitimate concerns.

Team: Kansas City
Avg Prj W: 75
2008 Actual W: 75
2008 PythagenPat W: 72
W Diff: 0
PythagenPat W Diff: 3
Avg Prj RF: 728
2008 RF: 691
RF Diff: 37
Avg RA: 801
2008 RA: 781
RA Diff: 20
RF+RA Diff: 17
Division %: 4%
Wild Card %: 0%
Playoff %: 5%
High W: 77 (chone)
Low W: 70 (cairo)
Gap: 7
Avg Div Plc: 4

Why they might be better than projected: Alex Gordon improved his OBP by 37 points and his SLG by 21 pts in 2008 and could possibly make more improvements in 2009. Billy Butler disappointed in 2008 but he's still really young (23) and still has that prospect sheen. Zack Greinke was very good last year and over his last 11 starts he had a 2.34 ERA and struck out 69 hitters in 69.1 innings. The projections expect him to give some of those gains back, but he may not.

Why they might be worse than projected: Kyle Farnsworth. Right now 2B looks suspect, although Mark Teahan may be able to make the transition.

Team: Minnesota
Avg Prj W: 79
2008 Actual W: 88
2008 PythagenPat W: 89
W Diff: -9
PythagenPat W Diff: -10
Avg Prj RF: 748
2008 RF: 829
RF Diff: -81
Avg RA: 769
2008 RA: 745
RA Diff: 24
RF+RA Diff: -105
Division %: 17%
Wild Card %: 1%
Playoff %: 18%
High W: 85 (chone)
Low W: 78 (chone)
Gap: 7
Avg Div Plc: 3

Why they might be better than projected: Most of their core players are relatively young. Their defense projects to be around 20 runs above average using a combination of zone rating and Fan Graphs' UZR, something that may or not be factored in adequately in the various projection systems.

Why they might be worse than projected: Joe Mauer is probably their most important player, and he's dealing with knee and back issues this spring. Joe Crede's back may not hold up that well playing half his games on turf,



AL West


Team: Los Angeles Angels
Avg Prj W: 85
2008 Actual W: 100
2008 PythagenPat W: 88
W Diff: -15
PythagenPat W Diff: -3
Avg Prj RF: 777
2008 RF: 765
RF Diff: 12
Avg RA: 734
2008 RA: 697
RA Diff: 37
RF+RA Diff: -25
Division %: 56%
Wild Card %: 1%
Playoff %: 57%
High W: 87 (pecota)
Low W: 84 (hbt)
Gap: 3
Avg Div Plc: 1

Why they might be better than projected: Their division isn't particularly strong, which may help them win a few more games than they project to. Howie Kendrick hasn't been able to stay on the field. The ability to stay healthy is a skill, but he may be able to crack the magic 500 PA barrier. They may get more innings from Kelvim Escobar than I have him projected for (around 80 innings).

Why they might be worse than projected: Ervin Santana and John Lackey are likely to open the season on the DL. While I assume that just about every pitcher will miss at least 2-3 starts a season in my depth charts, they could both miss more than that. Vlad Guerrero looks like he may be slowing down a little, and could underperform his projections. I've assumed Bobby Abreu will DH more than play the field, and his glove could hurt them if he sees too much time in the OF.

Team: Oakland
Avg Prj W: 81
2008 Actual W: 75
2008 PythagenPat W: 76
W Diff: 6
PythagenPat W Diff: 5
Avg Prj RF: 768
2008 RF: 646
RF Diff: 122
Avg RA: 755
2008 RA: 690
RA Diff: 65
RF+RA Diff: 57
Division %: 26%
Wild Card %: 1%
Playoff %: 27%
High W: 83 (chone)
Low W: 78 (chone)
Gap: 5
Avg Div Plc: 2

Why they might be better than projected: The projections all generally agree that Matt Holliday's performance will take a fairly significant hit by moving to the AL and from Colorado to Oakland. While I can't speak for the exact park/league factors of all the different systems, I can tell you that in CAIRO, Coors Holliday projected to hit .334/.409/.576 vs. Oakland Holliday hitting .295/.374/.501. If Holliday's game translates better than that, the A's should be able to snag another win or two. Even with Jason Giambi at first base, the A's look to have enough good defenders to have an above average overall defense. They've also got one of the deeper farm systems in baseball, which should help them with both filling in holes from within and acquiring pieces if needed.

Why they might be worse than projected: The health of some of their key players is usually an issue, particulary Eric Chavez. They'll also be relying on some pretty young pitchers who are talented, but notoriously difficult to project.

Team: Seattle
Avg Prj W: 79
2008 Actual W: 61
2008 PythagenPat W: 67
W Diff: 18
PythagenPat W Diff: 12
Avg Prj RF: 712
2008 RF: 671
RF Diff: 41
Avg RA: 725
2008 RA: 811
RA Diff: -86
RF+RA Diff: 127
Division %: 9%
Wild Card %: 4%
Playoff %: 13%
High W: 81 (cairo)
Low W: 78 (hbt)
Gap: 3
Avg Div Plc: 3

Why they might be better than projected: Felix Hernandez is already really good, but it wouldn't surprise anyone if he became the best pitcher in the majors as soon as this season. They've shored up their defense (the projected difference between a full season of Endy Chavez vs. Raul Ibanez is around 20 runs just by itself). Erik Bedard could make more than the 24 starts I have him penciled in for.

Why they might be worse than projected: The Mariners have several veterans in the last year of their contracts who they may decide to trade as part of their rebuilding. Trading any of them may cost them some wins in the short-term. The Mariners still haven't annointed a closer. While the role is generally overrated, it's still nice to have a decent one.

Team: Texas
Avg Prj W: 72
2008 Actual W: 79
2008 PythagenPat W: 75
W Diff: -7
PythagenPat W Diff: -3
Avg Prj RF: 776
2008 RF: 901
RF Diff: -125
Avg RA: 879
2008 RA: 967
RA Diff: -88
RF+RA Diff: -37
Division %: 3%
Wild Card %: 0%
Playoff %: 3%
High W: 75 (marcel)
Low W: 69 (zips)
Gap: 6
Avg Div Plc: 4

Why they might be better than projected: The Rangers probably have the best farm system in baseball. Neftali Feliz and Derek Holland should begin the year in AAA and be available for a boost in the rotation at some point during the season. Ian Kinsler out-OPS+'ed AL MVP Dustin Pedroia by 12 points (134 to 122) and could outperform his projections.

Why they might be worse than projected: Michael Young's transition to 3B may not work out real well. Kinsler hasn't been able to play more than 130 games yet in his MLB career so his health is a potential concern.



Anyone who wants to look at or play around with the raw team level data from the simulations can download this Excel spreadsheet.

And that's your 2009 Diamond Mind Projection Blowout. Like I say every year, results are not guaranteed.
--Posted at 12:01 pm by SG / 117 Comments | - (625)



The 2009 Diamond Mind Projection Blowout - National League Edition

Continuing off where the American League Edition left off, here are the results for the Senior Circuit.

Here are the results for the Senior Circuit.

To read all the caveats and disclaimers that you should keep in mind when looking at these, check the main post.

To see the individual projection systems, go to these links:
2009 Diamond Mind Projection Blowout - CHONE edition
2009 Diamond Mind Projection Blowout - Hardball Times edition
2009 Diamond Mind Projection Blowout - Marcel edition
2009 Diamond Mind Projection Blowout - PECOTA edition
2009 Diamond Mind Projection Blowout - ZiPS edition
2009 Diamond Mind Projection Blowout - CAIRO edition

And here are the combined standings of all 6000 projections:

NL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYN 88.1 73.9 832 764 2409.0 803.8 82 - 94 791 - 873 726 - 802 88 89 2539 1808 1243 335 75 0 93 88 - 97
ATL 86.7 75.3 784 727 1793.8 795.1 80 - 93 745 - 823 690 - 764 87 88 1907 1940 1620 438 95 0 87 84 - 91
PHI 86.0 76.0 816 772 1654.8 775.7 80 - 92 776 - 855 733 - 811 86 85 1769 1879 1692 489 171 0 82 79 - 86
WAS 72.7 89.3 763 844 64.7 52.2 66 - 79 725 - 801 804 - 884 73 74 76 217 624 2423 2660 0 75 71 - 80
FLA 72.5 89.5 736 813 80.4 53.5 66 - 79 698 - 773 773 - 853 73 72 89 252 678 2290 2691 0 68 63 - 73
NL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CHN 91.5 70.5 815 713 3933.8 534.5 85 - 98 776 - 855 675 - 750 92 93 4057 1248 466 159 58 12 93 89 - 98
STL 84.1 77.9 771 740 1036.5 728.9 78 - 90 732 - 810 702 - 778 84 85 1125 2060 1519 778 392 126 87 83 - 90
MIL 81.9 80.1 778 769 636.8 517.8 75 - 88 740 - 815 730 - 808 82 82 699 1619 1605 1109 655 313 82 78 - 85
CIN 77.8 84.2 739 769 261.5 208.4 72 - 84 702 - 776 730 - 807 78 78 291 752 1359 1817 1205 576 77 74 - 81
HOU 73.0 89.0 729 806 70.8 79.3 67 - 79 691 - 766 766 - 846 73 75 80 347 676 1233 2045 1619 73 69 - 76
PIT 69.8 92.2 731 842 60.5 43.7 63 - 76 693 - 769 801 - 883 70 71 66 194 407 886 1488 2959 66 61 - 71
NL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAN 87.8 74.2 805 743 3114.0 430.8 81 - 94 766 - 845 705 - 781 88 88 3246 1560 701 368 125 0 91 87 - 96
ARI 83.7 78.3 735 715 1559.7 428.8 77 - 90 698 - 772 677 - 753 84 82 1662 1751 1229 836 522 0 85 82 - 89
SF 79.3 82.7 712 725 554.0 211.5 73 - 86 675 - 749 687 - 763 79 80 609 1157 1627 1578 1029 0 81 77 - 84
COL 79.0 83.0 798 818 577.7 233.4 73 - 85 757 - 838 778 - 858 79 79 630 1162 1475 1563 1170 0 76 73 - 80
SD 74.5 87.5 714 773 194.7 102.7 68 - 81 677 - 751 735 - 810 74 74 218 555 978 1502 2747 0 71 66 - 75
Avg WC 89.5


Legend
W:Average wins over 6000 seasons
L:Average losses over 6000 seasons
RF:Average runs for(scored) over 6000 seasons
RA:Average runs allowed over 6000 seasons
Div: Number of division titles won over 6000 seasons. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.

I'll run through the divisions and teams briefly:



Legend
Avg Prj W: Average projected wins
2008 Actual W: Actual wins in 2008
2008 PythagenPat W: 2008 PythagenPat Wins
W Diff: Avg Prj W - 2008 Actual W
PythagenPat W Diff: Avg Prj W - 2008 PythagenPat W
Avg Prj RF: Average projected runs scored
2008 RF: 2008 runs scored
RF Diff: Avg Prj RF - 2008 RF
Avg RA: Average projected runs allowed
2008 RA: 2008 runs allowed
RA Diff: Avg Prj RA - 2008 RA
RF+RA Diff: Projected run differential delta
Division %: Percentage of times the team won their division
Wild Card %: Percentage of time the team won the wild card
Playoff %: Division% plus Wild Card %
High W: Higest average W projection and system
Low W: Lowest average W projection and system
Gap: Gap between High W and Low W
Avg Div Plc: Average place in division

NL East
Team: New York Mets
Avg Prj W: 88
2008 Actual W: 89
2008 PythagenPat W: 90
W Diff: -1
PythagenPat W Diff: -2
Avg Prj RF: 832
2008 RF: 799
RF Diff: 33
Avg RA: 765
2008 RA: 715
RA Diff: 50
RF+RA Diff: -17
Division %: 40%
Wild Card %: 13%
Playoff %: 54%
High W: 91 (zips)
Low W: 85 (marcel)
Gap: 6
Avg Div Plc: 1

Why they might be better than projected: Jose Reyes and David Wright may not be done improving. Daniel Murphy's projections are somewhat uninspiring but he looked good in his time in MLB and may outperform them.
Why they might be worse than projected: Livan Hernandez. Tim Redding.

Team: Atlanta
Avg Prj W: 87
2008 Actual W: 72
2008 PythagenPat W: 78
W Diff: 15
PythagenPat W Diff: 9
Avg Prj RF: 784
2008 RF: 753
RF Diff: 31
Avg RA: 727
2008 RA: 778
RA Diff: -51
RF+RA Diff: 82
Division %: 30%
Wild Card %: 13%
Playoff %: 43%
High W: 88 (pecota)
Low W: 85 (chone)
Gap: 3
Avg Div Plc: 2

Why they might be better than projected: Their rotation looks pretty solid with the additions of Derek Lowe, Javier Vazquez and Kenshin Kawakami. They've got Tommy Hanson in the wings if they need reinforcement there and he's emerged as one of the better prospects in baseball (#4 on Baseball America's top 100, #13 on Baseball Prospectus's top 100), Jeff Francouer has been pretty awful the last two seasons, but he has the physical talent to become useful, although he'll have to do it soon.

Why they might be worse than projected: Tom Glavine may not be any better than replacement level now but may pitch more than he deserves to due to his history with the Braves. Francouer may get more playing time than he deserves based on his popularity with the fans and his tools. The health of Chipper Jones, who has hit .342/.435/.592 over the last three seasons, is an annual concern. The health of their top two relievers (Rafael Soriano and Mike Gonzalez) is one as well.

Team: Philadelphia
Avg Prj W: 86
2008 Actual W: 92
2008 PythagenPat W: 93
W Diff: -6
PythagenPat W Diff: -7
Avg Prj RF: 816
2008 RF: 799
RF Diff: 17
Avg RA: 772
2008 RA: 680
RA Diff: 92
RF+RA Diff: -75
Division %: 27%
Wild Card %: 13%
Playoff %: 40%
High W: 89 (zips)
Low W: 83 (marcel)
Gap: 6
Avg Div Plc: 3

Why they might be better than projected: Jamie Moyer breaks projection systems. His average projected ERA is 4.72 which is a full run worse than last year. The difference between his 2008 and his projected 2009 if he makes 30 starts would be somewhere between two and three wins. Carlos Carrasco's projections aren't very impressive, but he's only 22 and has the talent to be a very good starter.

Why they might be worse than projected: Swapping Pat Burrell for Raul Ibanez may make them a little bit too left-handed and could pose some potential matchup problems. It's also a slight defensive downgrade. Cole Hamels's spring training elbow scare may be a precursor to something that would cause him to miss some time. Chase Utley's recovery from his hip surgery may necessitate some missed time.

Team: Florida
Avg Prj W: 73
2008 Actual W: 84
2008 PythagenPat W: 81
W Diff: -11
PythagenPat W Diff: -8
Avg Prj RF: 735
2008 RF: 770
RF Diff: -35
Avg RA: 813
2008 RA: 767
RA Diff: 46
RF+RA Diff: -81
Division %: 1%
Wild Card %: 1%
Playoff %: 2%
High W: 76 (chone)
Low W: 66 (zips)
Gap: 10
Avg Div Plc: 4

Why they might be better than projected: They've got a good amount of young talent on both sides of the ball. A rotation of Josh Johnson, Ricky Nolasco, Anibal Sanchez, Andrew Miller and Chris Volstad is long on potential.

Why they might be worse than projected: Matt Lindstrom's shoulder looks like it may be a concern. They'll be relying on a lot of players with sketchy health in their recent past. Hanley Ramirez has played through shoulder issues the last few seasons but at some point he may not be able to.

Team: Washington
Avg Prj W: 73
2008 Actual W: 59
2008 PythagenPat W: 62
W Diff: 14
PythagenPat W Diff: 11
Avg Prj RF: 763
2008 RF: 641
RF Diff: 122
Avg RA: 844
2008 RA: 825
RA Diff: 19
RF+RA Diff: 103
Division %: 1%
Wild Card %: 1%
Playoff %: 2%
High W: 76 (chone)
Low W: 69 (hbt)
Gap: 7
Avg Div Plc: 4

Why they might be better than projected: Maybe Cristian Guzman will actually be the MVP candidate PECOTA seems to think he is. Maybe Nick Johnson will play in more than five games.

Why they might be worse than projected: Their pitching staff is a little frightening.



NL Central


Team: Chicago Cubs
Avg Prj W: 91
2008 Actual W: 97
2008 PythagenPat W: 99
W Diff: -6
PythagenPat W Diff: -8
Avg Prj RF: 815
2008 RF: 855
RF Diff: -40
Avg RA: 713
2008 RA: 671
RA Diff: 42
RF+RA Diff: -82
Division %: 66%
Wild Card %: 9%
Playoff %: 75%
High W: 95 (zips)
Low W: 88 (chone)
Gap: 7
Avg Div Plc: 1

Why they might be better than projected: I restricted Milton Bradley to around 500 PA a season in RF given his past health issues. He could play more than that. I gave Rich Harden 19 starts, but he made 25 last year.

Why they might be worse than projected: I restricted Milton Bradley to around 500 PA a season in RF given his past health issues. He could play less than that. I gave Rich Harden 19 starts, he could pitch less than that.



Team: St. Louis
Avg Prj W: 84
2008 Actual W: 86
2008 PythagenPat W: 87
W Diff: -2
PythagenPat W Diff: -3
Avg Prj RF: 771
2008 RF: 779
RF Diff: -8
Avg RA: 740
2008 RA: 725
RA Diff: 15
RF+RA Diff: -23
Division %: 17%
Wild Card %: 12%
Playoff %: 29%
High W: 87 (zips)
Low W: 82 (pecota)
Gap: 5
Avg Div Plc: 2

Why they might be better than projected: They have the best player in baseball in Albert Pujols, and nothing he might do would surprise me. Chris Carpenter has looked good this spring, but I restricted him to around 15-16 starts a season. In his career, Khalil Greene has hit .270/.318/.484 on the road compared to .225/.289/.369 at home. In some research I did on home/road splits I've found that the average player hits about 10% better at home, so if Greene suffered unduly from PETCO he may exceed his projections handily.

Why they might be worse than projected: Pujols plays through a lot of nagging injuries and there's a possibility he won't play as much as projected. They may get nothing out of Carpenter. Their bullpen looks like a work in progress and may cost them a few wins.

Team: Milwaukee
Avg Prj W: 82
2008 Actual W: 90
2008 PythagenPat W: 87
W Diff: -8
PythagenPat W Diff: -5
Avg Prj RF: 777
2008 RF: 750
RF Diff: 27
Avg RA: 769
2008 RA: 689
RA Diff: 80
RF+RA Diff: -53
Division %: 11%
Wild Card %: 9%
Playoff %: 19%
High W: 86 (pecota)
Low W: 78 (marcel)
Gap: 8
Avg Div Plc: 3

Why they might be better than projected: Prince Fielder was over two wins worse offensively in 2008 than he was in 2007. Rickie Weeks was a win worse. Ryan Braun was a win worse in more playing time. All are young enough to still be improving and could exceed their projections.

Why they might be worse than projected: Their rotation is going to be relying on good performances by some young pitchers(Yovani Gallardo and Manny Parra), which is always a calculated risk.

Team: Cincinnati
Avg Prj W: 78
2008 Actual W: 74
2008 PythagenPat W: 71
W Diff: 4
PythagenPat W Diff: 7
Avg Prj RF: 739
2008 RF: 704
RF Diff: 35
Avg RA: 768
2008 RA: 800
RA Diff: -32
RF+RA Diff: 67
Division %: 4%
Wild Card %: 4%
Playoff %: 8%
High W: 82 (chone)
Low W: 76 (pecota)
Gap: 6
Avg Div Plc: 4

Why they might be better than projected: Jay Bruce. Joey Votto. After a couple of disappointing seasons, Homer Bailey may be able to put it together at age 23. Edinson Volquez was amazing through the All Star Break, 117.2 IP, 126 Ks, 2.29 ERA but scuffled a little after 78.1 IP, 80 Ks, 4.60 ERA. If that was due to fatigue, then he has decent chance to exceed his projections, which also include 80 innings of 7.20 ERA pitching for Texas.

Why they might be worse than projected:

Willy Taveras is a decent glove in CF but he might kill them at the top of the order. The rest of their defense still looks like a possible concern as well. Team: Houston
Avg Prj W: 73
2008 Actual W: 86
2008 PythagenPat W: 78
W Diff: -13
PythagenPat W Diff: -5
Avg Prj RF: 729
2008 RF: 712
RF Diff: 17
Avg RA: 806
2008 RA: 743
RA Diff: 63
RF+RA Diff: -46
Division %: 1%
Wild Card %: 1%
Playoff %: 2%
High W: 77 (hbt)
Low W: 69 (pecota)
Gap: 8
Avg Div Plc: 5

Why they might be better than projected: They get to beat up on Pittsburgh.

Why they might be worse than projected: The rotation? The bench? Miguel Tejada, Ivan Rodriguez and Geoff Blum as starters?

Team: Pittsburgh
Avg Prj W: 70
2008 Actual W: 67
2008 PythagenPat W: 67
W Diff: 3
PythagenPat W Diff: 3
Avg Prj RF: 731
2008 RF: 735
RF Diff: -4
Avg RA: 842
2008 RA: 884
RA Diff: -42
RF+RA Diff: 38
Division %: 1%
Wild Card %: 1%
Playoff %: 2%
High W: 76 (chone)
Low W: 60 (zips)
Gap: 16
Avg Div Plc: 6

Why they might be better than projected:They get to beat up on Houston.

Why they might be worse than projected: 70 wins would be an upgrade of three wins from last year's 67 win squad, which has since lost a half-season of Jason Bay and Xavier Nady. In 6000 iterations, the Pirates won fewer than 50 games 322 times, and fewer than 60 games 942 times.



NL West


Team: Los Angeles Angels
Avg Prj W: 85
2008 Actual W: 100
2008 PythagenPat W: 88
W Diff: -15
PythagenPat W Diff: -3
Avg Prj RF: 777
2008 RF: 765
RF Diff: 12
Avg RA: 734
2008 RA: 697
RA Diff: 37
RF+RA Diff: -25
Division %: 56%
Wild Card %: 1%
Playoff %: 57%
High W: 87 (pecota)
Low W: 84 (hbt)
Gap: 3
Avg Div Plc: 1

Why they might be better than projected: Strong bullpen, mostly young offensive core, Clayton Kershaw and Chad Billingsley.

Why they might be worse than projected: Manny's hammy. Tanyon Sturtze in the role of Scott Proctor.

Team: Arizona
Avg Prj W: 84
2008 Actual W: 82
2008 PythagenPat W: 82
W Diff: 2
PythagenPat W Diff: 2
Avg Prj RF: 735
2008 RF: 720
RF Diff: 15
Avg RA: 715
2008 RA: 706
RA Diff: 9
RF+RA Diff: 6
Division %: 26%
Wild Card %: 7%
Playoff %: 33%
High W: 88 (pecota)
Low W: 79 (marcel)
Gap: 9
Avg Div Plc: 2

Why they might be better than projected: Most of their key players are young enough to improve more than projected.

Why they might be worse than projected: Injuries.

Team: San Francisco
Avg Prj W: 78
2008 Actual W: 72
2008 PythagenPat W: 68
W Diff: 6
PythagenPat W Diff: 10
Avg Prj RF: 711
2008 RF: 640
RF Diff: 71
Avg RA: 737
2008 RA: 759
RA Diff: -22
RF+RA Diff: 93
Division %: 14%
Wild Card %: 0%
Playoff %: 15%
High W: 81 (chone)
Low W: 72 (marcel)
Gap: 9
Avg Div Plc: 4

Why they might be better than projected: Tim Lincecum was so good last year that no projection system expects him to repeat it. Randy Johnson was effective last year in Arizona and made 30 starts, but I restricted him to 25. If he can go more often, that obviously helps. It may not take more than 85 wins to take the NL West, although the average wins for the first place winner was 91 over the 6000 iterations.

Why they might be worse than projected: Johnson may not make 10 starts given his age and his injury past. Bengie Molina is their cleanup hitter. General offensive issues could sink them.

Team: Colorado
Avg Prj W: 79
2008 Actual W: 74
2008 PythagenPat W: 74
W Diff: 5
PythagenPat W Diff: 5
Avg Prj RF: 798
2008 RF: 747
RF Diff: 51
Avg RA: 818
2008 RA: 822
RA Diff: -4
RF+RA Diff: 55
Division %: 10%
Wild Card %: 4%
Playoff %: 13%
High W: 81 (chone)
Low W: 74 (pecota)
Gap: 7
Avg Div Plc: 3

Why they might be better than projected: Chris Ianetta and Ryan Spilboroughs both hit better in 2008 than they are projected to in 2009. Todd Helton battled back issues last year and was restricted to just 361 PA while slugging just .388 which is obscenely bad for a 1B in Colorado. If he can bounce back to his 2007 or 2008 level he would be more valuable than projected. A full season of Troy Tulowitzki on both sides of the ball should help. Ubaldo Jimenez has top shelf stuff but bottom shelf command of it most of the time. A little bit better command and he could be one of the pitchers in baseball.

Why they might be worse than projected: Garrett Atkins (-7 projected UZR) and Brad Hawpe (-18 projected UZR) are among the worst defenders in MLB at their positions. Greg Smith's peripherals did not support his ERA last year(FIP of 4.82 compared to an ERA of 4.16) in Oakland, and he could be a disaster in Coors this year.

Team: San Diego
Avg Prj W: 74
2008 Actual W: 63
2008 PythagenPat W: 67
W Diff: 11
PythagenPat W Diff: 7
Avg Prj RF: 714
2008 RF: 637
RF Diff: 77
Avg RA: 773
2008 RA: 764
RA Diff: 9
RF+RA Diff: 68
Division %: 3%
Wild Card %: 2%
Playoff %: 5%
High W: 78 (chone)
Low W: 71 (zips)
Gap: 7
Avg Div Plc: 5

Why they might be better than projected: They have Jake Peavy and Adrian Gonzalez.

Why they might be worse than projected: Jody Gerut projects pretty well in most of the systems, but a repeat of last year is probably a big question mark. Peavy and Chris Young are injury concerns.



Anyone who wants to look at or play around with the raw team level data from the simulations can download this Excel spreadsheet.

Back to the American League edition.
--Posted at 12:00 pm by SG / 1 Comment | - (326)



2009 Diamond Mind Projection Blowout - CHONE edition

Below are are the results of Sean Smith’s 2009 CHONE projections when run through Diamond Mind 1000 times.  Sean’s projections rated as some of the best last year.

To read all the caveats and disclaimers that you should keep in mind when looking at these, check the main post.

Standings

AL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
BOS 95.6 66.4 825 678 495.7 311.8 89-102 785-866 643-713 96 99 517 343 119 19 2 0 99 94-104
NYA 94.4 67.6 845 718 387.2 353.2 88-101 805-884 679-756 94 93 409 393 178 17 3 0 93 89-97
TAM 87.8 74.2 779 702 111.2 201.7 81-94 740-818 665-738 88 89 122 234 518 105 21 0 87 82-91
BAL 76.1 85.9 753 804 2.5 13.0 70-82 714-792 765-844 76 73 3 16 95 485 401 0 78 74-83
TOR 74.6 87.4 677 738 3.5 10.5 68-81 641-713 701-776 74 74 4 14 71 379 532 0 71 66-76
AL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CLE 87.9 74.1 792 721 540.0 32.2 81-94 753-831 685-757 88 89 560 307 91 34 8 0 91 86-96
DET 85.4 76.7 771 725 344.3 32.5 79-92 733-809 688-763 85 84 365 430 135 52 18 0 85 81-88
MIN 77.6 84.4 738 781 79.8 6.7 71-84 699-776 741-822 77 77 85 161 360 238 156 0 79 75-82
KC 73.3 88.7 716 795 22.2 2.2 67-80 678-753 756-834 73 74 24 76 221 327 352 0 74 70-78
CHA 72.7 89.3 730 815 13.7 0.3 67-79 693-767 775-855 73 74 16 59 198 345 382 0 68 64-73
AL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAA 86.2 75.8 774 725 599.3 18.3 80-93 735-812 688-761 86 86 622 252 93 33 0 0 89 84-93
SEA 81.2 80.8 695 688 247.6 11.3 75-87 659-731 652-724 81 82 264 388 251 97 0 0 82 78-86
OAK 77.9 84.1 747 762 120.1 5.0 72-84 708-787 723-801 78 78 130 269 384 217 0 0 77 73-81
TEX 71.9 90.1 766 872 33.5 1.3 65-79 727-804 815-929 72 71 40 107 248 605 0 0 70 64-75
Avg WC 92.9
NL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
PHI 86.8 75.2 803 755 395.8 138.6 80-93 763-842 717-793 87 85 418 285 206 75 16 0 92 87-96
NYN 85.9 76.1 801 756 315.4 133.9 80-92 760-841 719-794 86 86 334 310 259 82 15 0 86 83-90
ATL 85.0 77.0 768 727 257.2 128.9 79-91 729-806 693-762 85 85 275 315 274 116 20 0 82 78-85
FLA 75.1 86.9 702 756 28.5 21.7 69-82 666-739 718-793 75 74 30 75 155 434 306 0 76 72-80
WAS 71.1 90.9 729 829 2.5 5.8 65-77 692-767 791-868 71 69 3 29 74 302 592 0 69 64-74
NL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CHN 88.2 73.8 781 712 521.0 101.3 82-94 741-820 676-747 88 91 546 242 115 66 24 7 91 87-96
STL 84.3 77.7 743 710 240.3 116.3 78-91 707-779 672-747 84 84 259 302 213 133 72 21 86 82-89
CIN 81.3 80.7 726 721 121.3 73.9 75-87 691-761 685-757 81 81 132 199 261 208 145 55 82 79-85
MIL 79.6 82.4 748 758 76.8 62.8 73-86 711-785 719-796 79 78 87 178 218 230 178 109 78 75-81
PIT 75.9 86.1 714 759 35.5 26.2 69-82 675-752 722-796 76 78 39 74 142 230 261 254 75 71-78
HOU 71.9 90.1 700 785 5.0 5.0 66-78 663-737 747-823 72 72 6 31 67 146 260 490 69 64-74
NL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAN 87.2 74.8 785 731 562.8 53.3 81-94 746-825 696-767 87 86 586 228 100 63 23 0 90 85-94
ARI 79.7 82.3 705 721 139.3 38.5 73-86 670-741 684-758 80 76 152 237 226 211 174 0 84 81-87
SF 79.6 82.4 689 697 121.8 33.8 74-86 654-723 660-735 80 80 128 232 251 207 182 0 80 77-83
COL 78.4 83.6 766 793 97.0 35.8 72-85 727-806 756-829 78 75 108 204 193 228 267 0 77 73-80
SD 77.5 84.5 693 725 79.0 24.3 71-84 657-729 688-762 78 79 87 163 213 259 278 0 72 68-76
Avg WC 88.4


W:Average wins over 1000 seasons
L:Average losses over 1000 seasons
RF:Average runs for(scored) over 1000 seasons
RA:Average runs allowed over 1000 seasons
Div: Number of division titles won over 1000 season. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.

Pie Chart Madness!







Clustered Column Charts of Divisional Placings







--Posted at 6:40 am by SG / No Comments | - (154)



2009 Diamond Mind Projection Blowout - ZiPS edition

Below are are the results of Dan Szymborski’s 2009 ZiPS projections when run through Diamond Mind Baseball 1000 times.

To read all the caveats and disclaimers that you should keep in mind when looking at these, check the main post

Standings

AL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYA 96.5 65.5 883 732 501.8 300.8 90-103 840-925 694-771 97 97 531 317 136 15 1 0 100 95-105
BOS 94.8 67.2 857 713 360.0 362.2 89-101 815-899 676-750 95 94 387 369 227 13 4 0 94 90-98
TAM 90.2 71.8 791 681 136.8 264.7 84-96 752-830 644-718 90 89 154 279 490 68 9 0 88 84-92
TOR 76.4 85.6 687 730 1.3 13.3 70-83 651-724 693-767 77 74 3 16 63 514 404 0 79 74-84
BAL 74.8 87.2 796 851 0.3 5.3 69-81 757-834 809-892 75 72 1 8 50 403 538 0 72 67-77
AL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CLE 85.4 76.6 810 763 484.3 6.2 79-92 769-850 725-802 86 87 507 282 124 61 26 0 89 85-94
DET 83.5 78.5 816 785 327.2 15.0 77-90 777-855 744-825 84 85 348 320 189 102 41 0 84 80-87
MIN 78.7 83.3 758 793 120.0 11.3 72-85 720-795 751-836 78 76 132 211 277 262 118 0 79 76-83
KC 76.4 85.6 739 802 55.2 3.5 70-83 699-778 762-843 77 77 62 153 257 291 237 0 75 71-79
CHA 72.0 90.0 773 868 13.3 0.3 66-78 733-813 828-908 72 70 17 70 127 272 514 0 69 64-74
AL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAA 85.3 76.7 784 738 563.0 7.0 79-92 744-824 700-777 85 85 582 285 113 20 0 0 88 83-93
OAK 80.8 81.2 756 753 256.0 8.3 74-87 716-795 715-791 80 79 273 344 310 73 0 0 82 78-86
SEA 79.2 82.8 721 729 174.0 2.0 73-85 684-758 690-767 79 81 185 339 356 120 0 0 76 73-80
TEX 69.2 92.8 783 920 8.0 0.0 63-75 744-822 877-964 69 69 8 57 191 744 0 0 68 63-73
Avg WC 93.5
NL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYN 91.2 70.8 849 749 470.8 154.1 85-97 808-890 711-787 91 89 492 314 166 25 3 0 95 90-100
PHI 88.6 73.4 822 751 301.8 148.7 82-95 782-862 714-789 89 88 323 340 295 38 4 0 89 85-93
ATL 87.5 74.5 791 729 223.8 153.6 81-94 753-830 691-766 88 88 237 340 356 64 3 0 84 80-88
WAS 75.0 87.0 769 827 4.5 7.3 69-81 730-808 788-866 75 74 6 26 132 678 158 0 75 71-80
FLA 66.4 95.6 717 855 0.0 0.0 60-73 681-754 815-896 66 68 0 2 14 188 796 0 65 60-71
NL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CHN 95.0 67.0 839 706 730.2 96.8 89-101 799-880 668-744 95 95 747 202 45 6 0 0 96 91-101
STL 87.2 74.8 777 713 195.2 163.5 81-93 737-816 676-749 87 85 212 459 241 73 15 0 88 84-92
MIL 82.5 79.5 802 785 66.7 83.3 76-89 763-841 745-825 82 82 74 268 387 211 58 2 82 79-86
CIN 77.1 84.9 749 785 6.0 16.8 71-83 713-786 747-823 77 79 6 80 245 457 190 22 77 73-81
HOU 71.0 91.0 723 824 2.0 6.0 65-77 685-762 784-864 71 73 2 20 82 207 583 106 70 65-74
PIT 60.2 101.8 678 880 0.0 0.0 54-66 641-715 839-921 60 61 0 0 2 23 143 832 60 54-65
NL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAN 89.1 72.9 817 747 574.8 50.8 83-95 778-856 710-785 89 88 601 266 98 28 7 0 92 87-96
ARI 84.6 77.4 733 709 228.7 69.5 78-91 696-769 670-748 85 82 251 340 255 127 27 0 86 82-90
COL 81.1 80.9 799 798 118.0 30.7 75-88 758-839 758-838 81 78 128 225 290 263 94 0 81 78-85
SF 79.0 83.0 698 713 73.2 18.0 73-86 661-735 673-752 79 79 83 151 261 347 158 0 77 73-80
SD 71.4 90.6 703 788 5.3 1.0 65-78 666-739 749-828 71 74 7 34 86 219 654 0 70 65-75
Avg WC 91.1


W:Average wins over 1000 seasons
L:Average losses over 1000 seasons
RF:Average runs for(scored) over 1000 seasons
RA:Average runs allowed over 1000 seasons
Div: Number of division titles won over 1000 season. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.

Pie Chart Madness!







Clustered Column Charts of Divisional Placings







--Posted at 6:40 am by SG / No Comments | - (141)



2009 Diamond Mind Projection Blowout - PECOTA edition

Below are are the results of Baseball Prospectus’s 2009 PECOTA projections when run through Diamond Mind Baseball 1000 times.

To read all the caveats and disclaimers that you should keep in mind when looking at these, check the main post.

Standings

AL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYA 96.0 66.0 822 686 452.8 298.8 90-102 781-863 648-723 96 94 473 303 214 10 0 0 100 96-105
BOS 95.1 66.9 826 684 365.2 343.8 89-101 785-867 649-719 95 95 390 369 226 12 3 0 94 90-98
TAM 91.8 70.2 785 670 180.7 297.8 86-98 746-823 635-705 92 94 199 313 452 34 2 0 89 84-93
TOR 74.0 88.0 694 759 0.3 7.8 68-80 656-732 721-796 74 74 1 9 32 530 428 0 77 72-82
BAL 73.2 88.8 789 869 1.0 7.0 67-80 749-829 828-911 73 74 1 7 32 436 524 0 70 65-75
AL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CLE 84.5 77.5 790 749 526.1 5.0 78-91 751-829 711-787 85 85 550 246 105 73 26 0 88 83-92
DET 80.3 81.7 773 774 235.1 3.3 74-86 735-811 736-812 80 82 254 291 226 150 79 0 82 79-86
MIN 78.5 83.5 743 772 151.4 3.3 72-85 704-782 732-812 79 78 167 249 251 211 122 0 78 75-82
KC 75.7 86.3 727 782 67.9 2.0 69-82 689-765 744-821 76 76 76 154 262 283 225 0 74 71-78
CHA 72.1 89.9 732 827 19.5 1.5 66-78 694-771 787-868 72 73 22 94 152 244 488 0 69 64-73
AL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAA 86.8 75.2 756 705 636.3 8.0 81-93 717-795 666-744 87 89 659 247 78 16 0 0 89 84-94
OAK 81.7 80.3 766 745 249.3 18.0 75-88 726-807 707-783 82 80 268 418 251 63 0 0 82 78-86
SEA 77.5 84.5 702 732 102.3 3.5 71-84 666-739 692-771 78 78 115 263 411 211 0 0 76 72-80
TEX 70.8 91.2 723 836 11.3 0.0 64-77 682-764 792-880 71 72 12 84 234 670 0 0 69 64-74
Avg WC 94.0
NL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYN 89.6 72.4 826 743 424.6 124.7 83-96 785-867 706-779 89 89 450 282 203 55 10 0 94 89-98
ATL 88.1 73.9 791 720 308.1 141.7 82-94 750-831 683-758 88 86 331 330 239 84 16 0 88 85-92
PHI 86.7 75.3 815 766 242.7 121.7 80-93 775-854 727-805 87 87 257 323 286 103 31 0 84 80-87
WAS 75.1 86.9 786 844 17.5 12.0 69-82 747-826 802-886 75 77 20 38 122 403 417 0 77 73-81
FLA 74.6 87.4 734 788 6.3 9.5 68-81 698-771 749-828 75 75 9 36 123 360 472 0 71 66-76
NL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CHN 93.9 68.1 808 680 746.8 79.2 88-100 770-846 642-718 94 92 762 178 52 7 1 0 95 90-100
MIL 85.8 76.2 785 742 173.3 145.8 79-93 747-822 703-780 86 86 188 468 210 100 27 7 87 83-91
STL 81.5 80.5 758 756 65.8 67.7 75-88 718-797 716-795 81 80 74 271 379 190 65 21 81 77-85
CIN 75.8 86.2 735 781 14.0 13.3 69-82 697-773 743-819 76 81 16 74 249 365 216 80 76 72-80
HOU 69.2 92.8 720 838 0.0 0.8 63-76 682-757 795-880 69 68 0 9 76 196 370 349 70 66-74
PIT 67.4 94.6 739 876 0.0 2.0 61-74 700-778 832-921 67 67 0 14 46 139 322 479 64 59-69
NL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAN 90.3 71.7 800 713 555.3 109.5 84-97 759-840 676-751 91 94 572 312 79 31 6 0 93 89-98
ARI 88.4 73.6 779 712 388.8 125.7 82-95 738-820 674-750 89 87 405 413 129 40 13 0 87 83-91
SF 78.4 83.7 691 713 36.3 28.2 72-85 657-725 677-749 78 80 44 156 408 254 138 0 80 76-84
COL 74.4 87.6 813 879 13.5 11.3 68-81 772-853 835-923 74 76 15 76 232 330 347 0 75 71-79
SD 73.1 88.9 697 763 6.0 7.0 67-79 660-734 728-799 73 74 7 46 192 321 434 0 69 65-74
Avg WC 90.9


W:Average wins over 1000 seasons
L:Average losses over 1000 seasons
RF:Average runs for(scored) over 1000 seasons
RA:Average runs allowed over 1000 seasons
Div: Number of division titles won over 1000 season. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.

Pie Chart Madness!







Clustered Column Charts of Divisional Placings







--Posted at 6:40 am by SG / No Comments | - (124)



2009 Diamond Mind Projection Blowout - Marcel edition

Below are are the results of Tango Tiger’s 2009 Marcel projections when run through Diamond Mind Baseball 1000 times.
To read all the caveats and disclaimers that you should keep in mind when looking at these, check the main post.

Standings

AL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYA 94.1 67.9 856 727 484.0 269.2 88-100 816-896 687-767 94 93 514 307 161 15 3 0 98 93-102
BOS 92.3 69.7 827 715 332.0 321.4 86-99 785-869 678-751 92 94 359 370 234 31 6 0 92 88-96
TAM 88.5 73.5 817 736 180.2 225.3 82-95 778-856 698-773 88 87 196 269 411 97 27 0 86 82-90
TOR 76.2 85.8 709 755 0.3 21.3 70-82 672-746 716-795 76 76 1 32 91 485 391 0 79 74-83
BAL 75.1 86.9 766 819 3.5 8.8 69-81 728-804 779-858 75 74 4 19 66 391 520 0 72 67-77
AL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CLE 87.7 74.3 811 742 516.3 47.7 81-94 771-852 705-780 88 89 541 270 131 40 18 0 91 87-95
MIN 85.4 76.6 794 753 362.3 41.6 79-92 754-834 715-791 86 90 386 320 181 75 38 0 85 81-89
CHA 77.1 84.9 750 788 47.8 10.3 71-83 712-788 750-825 77 79 54 151 251 278 266 0 80 77-83
KC 76.5 85.5 712 768 40.5 10.3 70-83 675-748 729-808 77 77 44 153 244 256 303 0 76 72-79
DET 76.1 85.9 771 823 33.0 11.5 70-82 733-809 784-861 76 77 39 126 200 335 300 0 71 66-75
AL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAA 84.7 77.3 775 735 529.5 10.6 78-91 735-814 698-773 85 86 555 291 117 37 0 0 88 83-93
OAK 82.8 79.2 796 772 363.5 16.0 77-89 755-837 733-811 83 84 388 405 165 42 0 0 82 78-85
TEX 75.1 86.9 796 861 73.5 5.3 69-81 757-834 821-901 75 74 84 191 417 308 0 0 76 72-80
SEA 72.0 90.0 702 795 33.5 0.6 66-78 666-738 755-835 72 71 38 113 292 557 0 0 69 65-74
Avg WC 91.8
NL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
ATL 85.8 76.2 810 756 381.8 100.8 79-92 769-850 718-793 86 85 401 284 192 80 43 0 91 86-95
NYN 85.0 77.0 854 819 340.3 110.1 79-91 813-895 779-860 85 83 357 275 215 113 40 0 85 82-89
PHI 82.7 79.3 810 798 212.2 103.8 76-89 771-849 757-839 83 82 228 286 240 151 95 0 81 78-84
FLA 75.9 86.1 770 818 32.5 15.8 70-82 731-810 778-857 76 78 37 92 188 329 354 0 77 73-80
WAS 75.6 86.4 787 839 34.2 24.3 69-82 747-828 797-881 75 75 40 95 169 292 404 0 71 67-76
NL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CHN 89.4 72.6 807 725 668.8 63.1 83-96 766-847 686-763 89 89 695 190 73 26 13 3 91 86-96
STL 82.3 79.7 786 770 178.8 98.3 76-89 747-826 732-809 82 85 197 318 226 132 100 27 85 81-88
CIN 77.7 84.3 753 787 62.3 46.8 71-84 715-791 747-827 78 79 73 186 226 213 180 122 80 77-84
MIL 77.5 84.5 756 795 53.0 31.2 71-84 718-794 756-834 78 75 59 164 235 227 201 114 77 74-80
HOU 76.1 85.9 739 785 30.0 29.2 70-82 703-776 747-823 76 75 34 140 202 226 230 168 73 70-76
PIT 70.9 91.1 729 830 7.0 3.3 65-77 692-766 789-871 71 70 7 36 76 159 232 490 68 63-72
NL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAN 89.4 72.6 805 726 645.5 89.3 83-96 766-844 687-765 90 90 667 195 87 35 16 0 91 87-96
COL 81.2 80.8 790 789 133.0 88.9 75-88 750-831 750-828 81 80 149 256 236 205 154 0 85 82-89
SF 79.5 82.5 758 769 82.2 67.0 73-86 716-799 729-808 80 80 93 215 235 227 230 0 81 78-84
ARI 79.4 82.6 715 733 78.8 71.1 73-86 680-751 694-772 80 80 87 200 238 239 236 0 77 74-81
SD 78.1 83.9 744 772 60.5 57.2 72-85 705-784 734-809 78 77 69 168 211 266 286 0 72 68-77
Avg WC 87.8


W:Average wins over 1000 seasons
L:Average losses over 1000 seasons
RF:Average runs for(scored) over 1000 seasons
RA:Average runs allowed over 1000 seasons
Div: Number of division titles won over 1000 season. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.

Pie Chart Madness!







Clustered Column Charts of Divisional Placings







--Posted at 6:40 am by SG / No Comments | - (127)



2009 Diamond Mind Projection Blowout - Hardball Times edition

Below are are the results of the Hardball Times’ 2009 projections when run through Diamond Mind Baseball 1000 times.

To read all the caveats and disclaimers that you should keep in mind when looking at these, check the main post.

Standings

AL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYA 98.2 63.8 860 694 552.3 272.7 92-104 820-901 657-731 98 98 577 277 141 5 0 0 101 97-106
BOS 95.1 66.9 832 689 299.8 385.0 89-101 791-874 654-724 95 95 320 396 266 18 0 0 95 91-99
TAM 91.5 70.5 792 683 146.8 299.2 85-98 752-831 647-718 91 91 163 304 470 55 8 0 89 85-93
TOR 75.6 86.4 701 752 1.0 11.0 69-82 664-738 715-790 76 75 1 10 54 527 408 0 78 74-83
BAL 74.2 87.8 789 861 0.0 7.7 68-80 750-828 819-903 74 73 0 7 39 408 546 0 71 66-76
AL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CLE 83.6 78.4 805 771 473.2 6.2 77-90 765-845 733-808 84 82 495 254 151 67 33 0 87 83-92
DET 80.7 81.3 791 788 262.2 1.5 74-87 752-829 750-826 81 78 282 284 209 145 80 0 82 79-85
MIN 77.8 84.2 728 764 153.3 4.3 72-84 692-765 726-802 78 78 166 220 227 237 150 0 78 75-81
KC 75.4 86.6 741 799 62.5 0.5 69-82 704-778 758-839 75 75 71 167 233 280 249 0 74 71-78
CHA 73.2 88.8 764 856 48.8 1.0 67-80 725-803 817-896 73 74 54 102 188 254 402 0 69 65-73
AL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAA 84.0 78.0 796 768 474.2 4.0 78-90 756-836 729-807 84 85 499 282 169 50 0 0 88 83-92
OAK 82.1 79.9 770 742 316.3 2.0 76-88 731-809 705-778 82 82 333 371 230 66 0 0 82 78-86
SEA 78.1 83.9 717 741 168.2 5.0 72-85 678-755 703-779 78 77 182 241 353 224 0 0 77 73-81
TEX 72.7 89.3 800 900 42.3 0.0 66-79 761-839 858-942 73 74 47 115 243 595 0 0 70 65-75
Avg WC 94.6
NL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYN 89.5 72.5 822 743 485.2 142.8 83-96 782-862 706-781 90 91 509 310 152 28 1 0 93 88-98
ATL 86.5 75.6 752 700 278.7 140.8 80-93 716-789 664-737 86 88 299 353 298 44 6 0 87 83-91
PHI 85.1 76.9 804 771 228.2 135.4 79-92 765-844 733-808 85 90 250 318 355 63 14 0 82 78-86
FLA 72.3 89.7 738 819 7.5 5.2 66-79 701-775 779-858 72 72 8 24 124 547 297 0 74 69-78
WAS 68.6 93.4 741 861 1.5 0.5 62-75 704-779 820-902 68 65 2 8 45 313 632 0 66 61-71
NL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CHN 90.9 71.1 816 720 635.3 102.7 85-97 778-855 682-758 91 90 657 212 92 28 9 2 93 88-98
MIL 83.3 78.7 787 764 149.3 113.1 77-90 749-826 725-802 83 82 162 291 232 153 106 56 87 83-90
STL 83.2 78.8 765 743 136.7 116.5 77-90 726-803 705-780 83 83 151 296 246 160 102 45 83 79-86
CIN 78.1 83.9 735 763 37.8 37.2 72-84 697-773 725-801 78 75 41 127 189 246 220 177 79 76-82
HOU 77.1 84.9 743 778 29.8 28.3 71-83 706-780 738-819 77 75 33 104 141 255 279 188 75 71-78
PIT 72.9 89.1 722 800 11.0 8.3 66-79 684-760 760-841 73 71 12 40 75 167 250 456 70 65-74
NL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
ARI 84.9 77.1 732 704 390.3 53.2 78-91 695-768 667-741 85 84 415 280 169 98 38 0 90 85-94
LAN 84.4 77.6 797 767 377.8 57.0 78-91 758-835 727-807 85 85 401 273 171 105 50 0 84 81-88
SF 78.3 83.7 684 704 108.3 22.5 72-85 648-720 667-740 78 78 121 175 236 245 223 0 80 77-83
COL 77.8 84.2 788 817 87.5 26.0 71-84 747-828 778-857 77 76 91 181 238 269 221 0 76 73-79
SD 75.1 86.9 707 758 36.0 10.7 69-81 669-744 721-795 75 78 39 115 193 257 396 0 71 67-75
Avg WC 89.2


W:Average wins over 1000 seasons
L:Average losses over 1000 seasons
RF:Average runs for(scored) over 1000 seasons
RA:Average runs allowed over 1000 seasons
Div: Number of division titles won over 1000 season. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.

Pie Chart Madness!







Clustered Column Charts of Divisional Placings







--Posted at 6:40 am by SG / No Comments | - (129)



2009 Diamond Mind Projection Blowout - CAIRO edition

Below are are the results of my 2009 CAIRO projections when run through Diamond Mind 1000 times.  CAIRO is basically an enhanced version of Tango Tiger’s Marcel projections, with the following key differences:

1) I use park factors to adjust players’ past performance, Marcel does not.
2) I use four years of data instead of three and slightly different weights.
3) I use a league adjustment to adjust for the difference between the AL and NL (my estimation is that the AL is about 4% better than the NL right now).
4) I factor in the defense behind the pitchers when forecasting them for the upcoming season.
5) Marcel regresses everyone towards league average, I use a different mean for my regression based on a combination of league average, player age, and player position.
6) Marcel does not use minor league statistics converted to MLEs(major league equivalencies), but I do.

To read all the caveats and disclaimers that you should keep in mind when looking at these, check the main post.

So with that enthralling explanation out of the way, onto the standings…

Standings

AL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYA 96.4 65.6 855 711 530.7 281.5 90-102 814-897 673-749 97 98 554 300 133 12 1 0 99 95-104
BOS 93.1 68.9 856 738 304.7 329.2 87-99 813-899 701-775 93 95 322 358 279 37 4 0 93 90-97
TAM 90.5 71.5 806 702 160.7 302.5 84-97 767-845 665-738 90 89 175 336 412 72 5 0 88 84-92
TOR 77.0 85.0 678 719 3.0 16.3 71-83 642-714 682-757 77 79 4 19 99 544 334 0 79 74-83
BAL 73.6 88.4 792 858 1.0 4.5 68-80 753-830 817-900 74 73 1 6 38 334 621 0 71 66-76
AL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CLE 83.9 78.1 812 776 418.2 13.5 77-90 771-853 736-816 84 83 439 260 173 103 25 0 88 84-93
DET 82.7 79.3 779 755 325.2 13.8 76-89 741-818 716-794 83 85 341 300 200 117 42 0 83 80-87
MIN 78.9 83.1 726 748 150.5 7.8 72-85 687-764 711-786 79 82 166 217 262 239 116 0 79 75-82
CHA 77.4 84.6 759 801 95.3 4.0 71-84 721-797 761-840 77 78 103 200 272 281 144 0 75 71-78
KC 70.2 91.8 733 859 10.8 0.0 64-76 696-771 817-901 71 71 14 43 111 215 617 0 68 63-73
AL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAA 85.4 76.6 775 733 554.2 7.8 79-92 737-814 694-771 85 85 581 250 138 31 0 0 88 84-93
OAK 81.3 80.8 772 758 258.2 11.0 75-87 732-811 721-795 81 81 281 348 267 104 0 0 82 78-86
SEA 78.7 83.3 721 737 157.2 4.5 73-85 685-758 699-775 79 77 177 287 335 201 0 0 77 73-81
TEX 72.6 89.4 789 886 30.5 3.5 66-79 749-829 844-928 72 71 36 118 245 601 0 0 71 66-75
Avg WC 93.2
NL East W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
NYN 87.5 74.5 839 775 372.7 138.2 81-94 797-880 738-812 88 88 397 317 248 32 6 0 93 88-97
ATL 87.5 74.5 790 731 344.2 129.4 81-94 752-829 692-769 88 85 364 318 261 50 7 0 87 83-91
PHI 86.3 75.7 840 789 274.2 127.6 80-92 800-880 749-829 86 85 293 327 310 59 11 0 82 78-86
FLA 71.0 91.1 751 842 5.5 1.3 64-78 712-790 800-883 71 73 5 23 74 432 466 0 74 70-79
WAS 70.9 91.1 765 863 4.5 2.3 65-77 728-802 822-904 71 74 5 21 82 435 457 0 67 62-72
NL Central W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
CHN 91.3 70.7 841 735 631.7 91.4 85-98 801-882 698-773 92 95 650 224 89 26 11 0 94 89-98
STL 85.9 76.1 799 748 219.7 166.8 79-92 758-839 710-786 86 82 232 414 214 90 38 12 87 83-91
MIL 82.5 79.5 788 774 117.7 81.6 76-89 751-824 734-813 82 83 129 250 323 188 85 25 82 79-86
CIN 76.7 85.3 733 776 20.0 20.3 71-83 696-770 737-814 77 77 23 86 189 328 254 120 77 74-81
HOU 72.8 89.2 746 825 4.0 10.0 66-79 708-784 785-865 73 73 5 43 108 203 323 318 73 69-77
PIT 71.2 90.8 803 909 7.0 3.8 65-78 764-843 866-951 71 70 8 30 66 168 280 448 67 63-72
NL West W L RF RA Div WC StD W Std RF Std RA Median Mode 1 2 3 4 5 6 APW Std APW
LAN 86.2 75.8 828 774 397.7 71.1 80-93 790-867 736-813 86 85 419 286 166 106 23 0 91 87-95
ARI 85.3 76.7 745 710 333.7 70.9 79-92 708-781 672-747 85 86 352 281 212 121 34 0 86 82-89
COL 80.9 81.1 831 832 128.7 40.8 75-87 789-872 792-872 81 83 139 220 286 268 87 0 81 78-85
SF 80.8 81.2 753 753 132.2 42.0 74-87 715-790 714-791 81 80 140 228 236 298 98 0 77 73-81
SD 71.5 90.5 741 830 7.8 2.5 65-78 704-778 791-869 71 70 9 29 83 180 699 0 70 65-75
Avg WC 89.7


W:Average wins over 1000 seasons
L:Average losses over 1000 seasons
RF:Average runs for(scored) over 1000 seasons
RA:Average runs allowed over 1000 seasons
Div: Number of division titles won over 1000 season. Ties are split (ie, if two teams tie for a division, they each get 0.5 Div)
WC: Number of wild cards won. Same deal with the ties here
StD W: Wins within one standard deviation either way
Std RF: Runs for within one standard deviation either way
Std RA: Runs allowed within one standard deviation either way
Median: Median win total
Mode: Mode win total
1: Number of times in first place
2: Number of times in second place
3: Number of times in third place
4: Number of times in fourth place
5: Number of times in fifth place
6: Number of times in sixth place
APW: Average placing wins. This is the average win total to take each place in the division
Std APW: APW within one standard deviation
Avg WC: Average victory total of the wild card winner over 1000 seasons.
Pie Chart Madness!







Clustered Column Charts of Divisional Placings







--Posted at 6:40 am by SG / 3 Comments | - (249)




Thursday, March 26, 2009

Looking Ahead to 2009: Johnny Damon

When the Yankees signed Johnny Damon after 2005, I hated it. I hated it for emotional reasons primarily, but also because I felt he was a poor risk to be productive offensively and defensively through age 35. Heading into 2009 and the final year of his contract, let's take a look at Damon's value to this point.

Player Year Age Pos PA AVG OBP SLG BR BRAR zr rs uzr rs avg rs WAR Value Salary Difference
Johnny Damon 2006 32 cf 669 .285 .359 .482 101.0 40 4 -7 -2 3.8 $19,014,058 $13,000,000 $6,014,058
Johnny Damon 2007 33 cf 604 .270 .351 .396 78.5 11 -1 7 3 1.4 $7,397,618 $13,000,000 -$5,602,383
Johnny Damon 2008 34 lf 621 .303 .375 .461 95.3 36 -1 3 1 3.7 $20,313,310 $13,000,000 $7,313,310
Total 1894 .286 .362 .448 274.9 87 2 3 2 8.9 $46,724,985 $39,000,000 $7,724,985


I'm assuming a marginal win for the Yankees was worth $5M in 2006, $5.25M in 2007, and $5.5M in 2008. With that assumption, so far the Damon contract has been worth it and then some.

For information about the projections being used and the acronyms in the tables below, check out the first and second posts in this series.

2008
After a poor 2007, Damon looked like he was on the verge of collapse. Offensively, he slugged under .400 for the first time since his age 23 season, and defensively his range in CF appeared to decline drastically and his poor arm seemed to get even worse. CF also seemed to be taking a physical toll on Damon. Because of all that, the Yankees officially moved Damon to LF to start 2008.

PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2008 chone 598 535 97 148 26 3 16 63 17 5 60 78 3 .277 .353 .426 80 87 26 .334
2008 marcel 570 507 89 142 28 3 13 63 20 4 54 75 3 .280 .349 .424 76 87 27 .329
2008 pecota 534 471 76 131 25 3 11 59 15 4 55 69 3 .278 .354 .417 70 85 25 .330
2008 zips 575 519 93 145 25 3 12 67 17 4 54 73 2 .279 .350 .408 74 83 23 .327
2008 cairo 647 575 101 165 29 4 17 74 21 5 64 81 3 .287 .358 .437 90 90 30 .338
2008 average 585 523 92 147 27 3 14 66 18 4 58 75 3 .280 .354 .424 78 87 27 .333
2008 actual 623 555 95 168 27 5 17 71 29 8 64 82 1 .303 .374 .461 94 98 38 .355
difference 7% 6% 3% 8% -4% 46% 15% 2% 50% 71% 5% 3% -65% .022 .020 .038 15 11 11 .021


Damon's projections were slightly pessimistic, pegging him to hit for an average line of .280/.354/.424, and projecting him to be worth around 2.4 wins above replacement. It's worth noting that the deadly accurate CAIRO projection system was the closest. Yay CAIRO! Damon instead was worth 3.6 wins above replacement offensively,

Offense
Here's how Damon projects in 2009.

PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
2009 chone 615 551 97 152 27 3 15 65 19 5 62 81 2 .276 .351 .417 81 85 25 .330
2009 marcel 572 507 84 140 26 3 15 62 22 6 58 80 1 .276 .348 .428 77 87 27 .329
2009 pecota 549 486 80 136 26 4 12 62 22 6 55 77 3 .280 .353 .423 74 87 27 .331
2009 tht 573 512 74 140 26 3 13 61 2 22 59 80 2 .273 .351 .412 64 73 13 .328
2009 zips 628 564 99 164 30 4 15 69 2 25 62 78 2 .291 .363 .438 77 79 19 .342
2009 cairo 634 564 102 159 30 4 16 69 22 6 63 84 2 .282 .354 .433 87 89 28 .335
2009 average 595 532 90 149 27 4 14 65 15 12 60 80 2 .280 .355 .426 77 84 23 .334


The projections are expecting Damon to fall off by about a win and a half. I do expect him to fall off some, although perhaps not quite that much.

Here are his CAIRO percentile forecasts.

cairo percentiles PA AB R H 2B 3B HR RBI SB CS BB SO HBP AVG OBP SLG BR BR/650 BRAR/650 wOBA
80% 647 575 114 175 36 7 20 79 28 4 73 77 4 .304 .389 .494 108 108 48 .372
65% 641 569 108 167 33 6 18 74 25 5 68 80 3 .293 .371 .464 97 99 38 .353
baseline 634 564 102 159 30 4 16 69 22 6 63 84 2 .282 .354 .433 87 89 28 .335
35% 603 536 92 145 25 3 13 62 19 7 56 84 1 .271 .336 .403 73 79 19 .316
20% 552 490 80 127 21 2 10 53 15 7 48 81 1 .260 .319 .373 59 69 9 .297


Defense
It doesn't seem like the Yankees are entertaining the idea of putting Damon back in CF, although it'd be a way to get the best offense on the field. Since it's still a remote possibility, here are Damon's ZRs and UZRS going back to 2005.

Year Age Pos GP Inn RS (ZR) RS (UZR) Avg (ZR/UZR) p162
2005 31 CF 147 1225 0 -8 -4 -5
2006 32 CF 131 1087 1 -7 -3 -4
2007 33 CF 48 377 1 2 1 5
2008 34 CF 34 285 0 -6 -3 -14
2009 35 CF 89 722 0 -4 -2 -4


That doesn't include his arm, which probably costs about five runs a season.

Damon's LF statistics suffer from small sample size, but here they are anyway.

Year Age Pos GP Inn RS (ZR) RS (UZR) Avg (ZR/UZR) p162
2005 31 LF 0 0 0 0 0 0
2006 32 LF 0 0 0 0 0 0
2007 33 LF 32 271 0 6 3 16
2008 34 LF 87 659 -3 8 2 5
2009 35 LF 81 612 -2 5 2 4


UZR likes Damon's defense more than ZR. As discussed in the Jeter thread, that probably means he saw a more difficult distribution of fieldable chances.

Dates Player TM LG Pos G INN Ch PM ZR Diff RS
Through June 16 Damon, Johnny NYY AL LF 54 443.2 119 106 .891 6 5
After June 16 Damon, Johnny NYY AL LF 33 215.9 58 42 .724 -8 -7
Total Damon, Johnny NYY AL LF 87 659.1 177 148 .836 -2 -2


Damon's zone rating was solid through June 16, then tanked. I blame Snacks Pontoon.

It's probably a safe assumption that Damon should be average or slightly above in LF defensively when looking at the combination of his CF and LF projections. A rough rule of thumb is that a league average CF should be anywhere from 10-15 runs above average in LF.

Baserunning
Year GA_OPPS EQGAR AA_OPPS EQAAR HA_OPPS EQHAR OA_OPPS EQOAR OPPS EQBRR
2007 41 0.4 42 1.7 60 2.0 371 -0.4 514 7.5
2008 46 -0.2 54 -1.1 55 -0.5 411 1.3 566 0.0
2009 Proj 44 0.0 50 -0.1 57 0.3 398 0.7 549 2.5


Damon was one of the better baserunners in the league in 2007 but fell to average in 2008. He should probably be somewhere close to that projection if he's healthy.

Value
Well, we already touched on Damon's value to this point, so let's see what the projections see as the final verdict on the Damon contract.

Category Runs Wins
Offense 23 2.3
Defense 2 0.2
Baserunning 3 0.3
Total 28 2.8
2009 Salary $13,000,000
Value if:a marginal win is worth: Value Difference
$3,000,000 $8,271,727 ($4,728,273)
$3,500,000 $9,650,348 ($3,349,652)
$4,000,000 $11,028,969 ($1,971,031)
$4,500,000 $12,407,590 ($592,410)
$5,000,000 $13,786,212 $786,212
$5,500,000 $15,164,833 $2,164,833
$6,000,000 $16,543,454 $3,543,454


It looks like the Yankees will end up ahead on the Damon deal unless disaster strikes.

Conclusion
Damon's possibly playing for his last MLB contract so I think he'll do whatever he can to have a big year. The news that Joe Girardi is going to bat him 2nd this year behind Derek Jeter seems like a smart move. I'd be curious to see the stats of lefty batters with 1B occupied, but I don't have time to run the data right now. Anyway, it makes sense because it splits up the possible Gardner/Damon lefty bottleneck between 9 and 1 and it moves Damon's power down a slot where it should be more advantageous, since he should see more opportunities with runners on.

I didn't think it would happen, but I've warmed up to Damon. I probably wouldn't bring him back in 2010, but he's been solid as a Yank.

It looks like the season is dawning on us faster than I'll be able to get through all the players, but I'll try to double and triple them up to get through them. Also, I expect to have the Diamond Mind Projection Blowout posted early next week.
--Posted at 11:55 pm by SG / 106 Comments | - (330)




Tuesday, March 10, 2009

Still a Touch Early 2009 Projected Standings - ZiPS edition

Dan Szymborski at Baseball Think Factory has created a 2009 ZiPS projection disk for Diamond Mind. so I've run 100 iterations and the results are below. This will probably be the last set of projected standings I post before starting my full set of projections. I'm assuming that Alex Rodriguez will miss 30% of the games here.

AL East W L RF RA DIV WC
NYA09 97.6 64.4 888 735 50.5 29.0
BOS09 95.8 66.2 863 706 34.5 39.0
TB09 90.7 71.3 793 678 15.0 27.0
TOR09 76.3 85.7 686 728 0.0 1.0
BAL09 74.7 87.3 792 851 0.0 0.0


AL Central W L RF RA DIV WC
CLE09 84.8 77.2 810 760 42.5 1.0
DET09 83.8 78.3 812 773 39.0 0.0
MIN09 79.5 82.5 753 787 13.0 0.0
KC09 76.3 85.7 740 805 4.5 1.0
CHA09 70.9 91.1 769 871 1.0 1.0


AL West W L RF RA DIV WC
LAA09 83.0 79.0 766 744 40.0 0.0
OAK09 81.3 80.7 757 749 40.5 0.0
SEA09 78.3 83.7 712 731 17.5 0.0
TEX09 69.9 92.1 784 912 2.0 1.0




NL East W L RF RA DIV WC
NYN09 90.5 71.5 851 759 45.5 13.5
PHI09 88.8 73.2 825 754 30.5 17.5
ATL09 87.0 75.0 791 732 24.0 16.8
WAS09 75.3 86.7 776 829 0.0 1.5
FLA09 66.7 95.3 720 857 0.0 0.0


NL Central W L RF RA DIV WC
CHN09 94.8 67.2 841 705 76.0 7.5
STL09 86.8 75.2 769 709 17.5 16.8
MIL09 82.0 80.0 799 787 5.5 9.0
CIN09 76.8 85.2 742 784 1.0 0.0
HOU09 71.4 90.6 731 835 0.0 0.0
PIT09 60.5 101.5 684 879 0.0 0.0


NL West W L RF RA DIV WC
LAD09 89.0 73.0 822 747 52.8 2.0
ARI09 86.0 76.0 739 705 26.8 8.5
COL09 81.2 80.9 797 796 8.5 3.5
SF09 78.9 83.1 701 720 10.8 3.0
SD09 71.7 90.4 705 785 1.0 0.3


I should be able to start my player previews/projections sometime this week as well. I'm going to shelve the 20 worst seasons by position for now, and probably revisit it later.

Update: Standard deviations for wins added as requested by Mike K.

AL East SD W
NYA09 92 - 104
BOS09 90 - 102
TB09 85 - 97
TOR09 69 - 83
BAL09 68 - 81
AL Central SD W
CLE09 79 - 90
DET09 77 - 91
MIN09 73 - 86
KC09 70 - 82
CHA09 65 - 77
AL West SD W
LAA09 77 - 89
OAK09 75 - 88
SEA09 72 - 84
TEX09 64 - 76
NL East SD W
NYN09 84 - 97
PHI09 83 - 95
ATL09 81 - 93
WAS09 70 - 81
FLA09 61 - 72
NL Central SD W
CHN09 88 - 101
STL09 81 - 93
MIL09 76 - 88
CIN09 72 - 82
HOU09 66 - 77
PIT09 54 - 67
NL West SD W
LAD09 82 - 96
ARI09 80 - 92
COL09 74 - 88
SF09 72 - 85
SD09 65 - 78

--Posted at 8:51 am by SG / 54 Comments | - (274)




Saturday, January 10, 2009

Extremely Early 2009 Projections - Marcel Edition

Same idea as yesterday, but using Tango Tiger’s Marcel projections instead.

--Posted at 3:05 pm by SG / 79 Comments | - (543)




Friday, January 9, 2009

Extremely Early Projected Standings

Here are the results of 100 trials of the 2009 season using rosters as of yesterday and projections from the Hardball Times.

W: Average wins
L: Average losses
RF: Average runs for
RA: Average runs against
DIV: Division titles out of 100 seasons (I don’t break ties)
WC: Wild cards out of 100 seasons


There’s still a lot that can change over the next few months, so don’t take these too seriously.

--Posted at 10:20 am by SG / 118 Comments | - (759)




Tuesday, September 23, 2008

What Are The Odds That Friday’s Game At Fenway Will Be Meaningful?

Odds were calculated using Baseball Prospectus’s third order winning percentage and Bill James’s log5 method, adjusting for home field advantage.

--Posted at 9:21 am by SG / 147 Comments | - (333)




Thursday, September 18, 2008

Yankees.com: Offense wakes up late to lift Yankees

NEW YORK—It wasn’t exactly the start the Yankees envisioned Wednesday night—from the mound or the batter’s box.

While the New York bats sat silent through the first five innings, starter Phil Hughes built up a pitch count of 89 through four innings to make an earlier exit than he would have liked.

But when the Yankees turned to their bullpen with a one-run deficit, the relievers came through, delivering five shutout innings to keep the score close. And the offense came alive to back them up as the Bombers rallied in the late innings for a 5-1 comeback victory over the White Sox (84-67) on Wednesday night at Yankee Stadium. As the lineup cycled through, bats started connecting, and the hits came together.

Offense? What is offense?

I thought Hughes looked ok, although obviously his pitch efficiency sucked.  He was hitting 92-93 consistently and featuring a cutter more often.  Obviously his command was not right, but I’m more concerned about his physical health and tools right now as far as what that means for his future, and for that I think last night was encouraging.

Phil Coke relieved Hughes and continued his scoreless innings start to his career.  If only he had more time he could challenge John Hiller for most scoreless innings at Yankee Stadium over the start of one’s career.

It was a rare day where the Yankees’ tragic number did not go down, still sitting at three.  If Boston goes 2-5 over their next 7 games and the Yankees go undefeated over theirs’, that sets up a meaningful first game at Fenway for the final regular season series at least (provided Minnesota/Toronto lose at least one game as well).  And that’s not happening, but it’d be cool if it did…

--Posted at 8:12 am by SG / 109 Comments | - (319)




Monday, September 8, 2008

Tragic Number = 12

The Tragic Number is the combination of the number of losses that one team needs plus the number of wins the other team needs in order to be eliminated.  So any combination of Boston wins and Yankee losses totaling 12 = Yankee elimination.  That’s thanks to losing two of three to the worst team in the AL this season over the weekend.  At least they avoided getting no-hit on Friday. Nicely done fellas. 

In non-2008 Yankee news, blogger Brent Nycz from the Bronx Block was at Jeremy Bleich’s pro debut and has his impressions and some video.  Check it out if you want to forget about WOE.

Oh, and Phil Hughes was dominant in last night’s 2-0 Scranton win over Pawtucket.  Hughes went eight scoreless, allowing just four hits, no walks and fanning 11.  I know some clowns out there have already given up on Hughes, but for the rest of us this is encouraging.  Chad Jennings has more details on his fine blog.

--Posted at 8:20 am by SG / 130 Comments | - (414)




Friday, August 22, 2008

Baseball Prospectus’s Postseason Odds as of August 21

Original Version
ELO Adjusted
PECOTA Adjusted

--Posted at 8:01 am by SG / 108 Comments | - (300)




Sunday, August 10, 2008

Slimmer and Slimmer

Unfortunately (or maybe fortunately), real life intruded in my blogging and Yankee watching over the last few days. So I really have nothing to say about the sweep by LA of A, except that I completely expected it and am thus not really that angry about it.

A couple of weeks ago, I took a look at the Yankees' upcoming schedule using log5 to give us an idea of what we should reasonably have expected. Here's how the Yankees have done relative to expectations since then.

Date Opponent Exp W Exp L Act W Act L
28-Jul Orioles 0.7 0.3 0.0 1.0
29-Jul Orioles 1.3 0.7 0.0 2.0
30-Jul Orioles 2.0 1.0 0.0 3.0
31-Jul Angels 2.5 1.5 1.0 3.0
1-Aug Angels 3.0 2.0 1.0 4.0
2-Aug Angels 3.5 2.5 1.0 5.0
3-Aug Angels 4.0 3.0 2.0 5.0
4-Aug @Rangers 4.6 3.4 3.0 5.0
5-Aug @Rangers 5.1 3.9 3.0 6.0
6-Aug @Rangers 5.6 4.4 3.0 7.0
7-Aug @Rangers 6.2 4.8 4.0 7.0
8-Aug @Angels 6.6 5.4 5.0 7.0
9-Aug @Angels 7.0 6.0 5.0 8.0
10-Aug @Angels 7.5 6.5 5.0 9.0


You probably didn't need fancy numbers to tell you the Yankees are playing like crap. They were 2.5 games worse than expected over this 14 game stretch. The Yankees entered play on July 28th 3 games behind first place Tampa Bay in the AL East and 1 game behind Boston for the wild card. Now, they are 8.5 games behind Tampa Bay and 4 games behind Boston for the wild card, and are looking up at Minnesota as well.

As long as the Yankees are mathematically alive I'm not going to write them off, otherwise I may have to deal with Jeter is King reading me the virtual riot act again, but let's face it, it's bleak.

First, let's look at the division. The Rays are 71-46. If they go 22-23 over their remaining 45 games, the Yankees would have to 30-14 just to tie them. There's another problem. Tampa has six games left with Boston. So when those teams are playing the Yankees will not be able to pick up ground on one of the teams ahead of them.

The wild card is still in play, but there are four teams that have better records than the Yankees in Tampa Bay, Boston, the White Sox, and Minnesota. Two of those four will likely win their division, but the other two will be the Yankees' chief competition. The Rangers are 2.5 games behind the Yanks but could also end up in the mix, although their schedule is pretty rough going forward.

The cold hard facts are that statistically, the Yankees' odds of making the postseason at this point are slim, and growing slimmer. It won't be the end of the world if they fail to make the postseason, but it sure will be disappointing.
--Posted at 8:56 pm by SG / 23 Comments | - (260)




Wednesday, August 6, 2008

Baseball Prospectus’s Postseason Odds Report - August 6, 2008

YTD version

AL East W L Pct3 Avg W Avg L Champions Wild Card Playoffs 1D Change 7D Change
Rays 67 45 0.587 94.7 67.3 60.5% 31.4% 91.9% 2.1% 10.7%
Red Sox 65 49 0.61 92.9 69.1 36.3% 47.6% 83.9% 4.5% 7.6%
Yankees 61 52 0.554 86.2 75.8 2.9% 11.5% 14.4% -5.2% -9.2%


PECOTA-adjusted version

AL East W L Pct3 Avg W Avg L Champions Wild Card Playoffs
Rays 67 45 0.594 95.1 66.9 59.3% 32.4% 91.8%
Red Sox 65 49 0.619 93.4 68.6 37.1% 47.6% 84.6%
Yankees 61 52 0.569 87 75 3.5% 13.3% 16.8%


ELO Version

AL East W L Pct3 Avg W Avg L Champions Wild Card Playoffs
Rays 67 45 1529 92.4 69.6 50.2% 28.1% 78.3%
Red Sox 65 49 1554 91.6 70.4 41.1% 31.8% 72.8%
Yankees 61 52 1541 86.5 75.5 7.8% 15.0% 22.7%


So you're saying there's a chance?

Yankees.com: Joba to visit Dr. Andrews after MRI.
ARLINGTON -- One day later, Joba Chamberlain has results but no answers.

Chamberlain underwent an MRI on his stiff right shoulder Tuesday in New York, but the Yankees did not immediately announce what that exam showed. The team revealed only that Chamberlain will travel to Birmingham, Ala., on Wednesday to receive a second opinion from renowned orthopedic surgeon Dr. James Andrews.


It's just a flesh wound, honestly.

Yankees.com: Ponson aims for another solid start

ARLINGTON -- With Joba Chamberlain out of the rotation for the indefinite future and manager Joe Girardi's bullpen logging an extreme amount of innings, the success of every Yankees starter has become even more critical than usual.

Even under normal circumstances, such success would be a challenge. But considering that this group consists of three pitchers who weren't in the Opening Day rotation, the task of consistency seems even more difficult.

For Sidney Ponson, it seems downright daunting. Though Ponson is coming off his most impressive outing of the year, he remains only one start removed from perhaps his season's worst showing. And considering that the Yankees need length out of their starters -- the bullpen is nothing short of taxed -- consistency is critical.


Good luck with all that...
--Posted at 8:21 am by SG / 178 Comments | - (344)




Monday, July 28, 2008

Is the Yankees’ Schedule About to Get Harder?

Way back on May 19, I used Bill James's log 5 method to assess the difficulty of the Yankees upcoming schedule. From May 20 through the All Star Break, the Yankees projected to go around 29-21 over 50 games. They ended up going 30-21 if you include the makeup game with the Mets on June 27 that was not part of my original forecast.

That put the Yankees at 50-45 at the All Star Break. The post-ASB schedule featured three straight series against teams that were in contention for a playoff spot. The expectations using log5 for this stretch were pretty modest.

Date Opponent Exp W Exp L Act W Act L
18-Jul Athletics 0.6 0.4 1 0
19-Jul Athletics 1.2 0.8 2 0
20-Jul Athletics 1.8 1.2 3 0
21-Jul Twins 2.4 1.6 4 0
22-Jul Twins 3.1 1.9 5 0
23-Jul Twins 3.7 2.3 6 0
25-Jul @Red Sox 4.1 2.9 7 0
26-Jul @Red Sox 4.6 3.4 8 0
27-Jul @Red Sox 5.0 4.0 8 1
28-Jul Orioles 5.7 4.3 8.0 2


Exp W:Expected wins according to log 5
Exp L:Expected losses according to log 5
Act W:Actual win total
Act L:Actual loss total

Despite tonight's 13-4 bloodbath against the Orioles, the Yankees have gone 8-2 instead of going their expected 6-4. So now they sit at 58-46, which is equivalent to around a 90 win pace.

So what's the outlook going forward? Funny you should ask...

Date Opponent Exp W Exp L
29-Jul Orioles 1.3 0.7
30-Jul Orioles 2.0 1.0
31-Jul Angels 2.5 1.5
1-Aug Angels 3.1 1.9
2-Aug Angels 3.6 2.4
3-Aug Angels 4.2 2.8
4-Aug @Rangers 4.7 3.3
5-Aug @Rangers 5.2 3.8
6-Aug @Rangers 5.8 4.2
7-Aug @Rangers 6.3 4.7
8-Aug @Angels 6.8 5.2
9-Aug @Angels 7.2 5.8
10-Aug @Angels 7.7 6.3
11-Aug @Twins 8.2 6.8
12-Aug @Twins 8.8 7.2
13-Aug @Twins 9.3 7.7
15-Aug Royals 9.9 8.1
16-Aug Royals 10.6 8.4
17-Aug Royals 11.3 8.7
19-Aug @Blue Jays 11.8 9.2
20-Aug @Blue Jays 12.3 9.7
21-Aug @Blue Jays 12.8 10.2
22-Aug @Orioles 13.4 10.6
23-Aug @Orioles 14.0 11.0
24-Aug @Orioles 14.6 11.4
26-Aug Red Sox 15.1 11.9
27-Aug Red Sox 15.7 12.3
28-Aug Red Sox 16.2 12.8
29-Aug Blue Jays 16.8 13.2
30-Aug Blue Jays 17.4 13.6
31-Aug Blue Jays 18.0 14.0
2-Sep @Rays 18.5 14.5
3-Sep @Rays 19.0 15.0
4-Sep @Rays 19.5 15.5
5-Sep @Mariners 20.1 15.9
6-Sep @Mariners 20.7 16.3
7-Sep @Mariners 21.3 16.7
8-Sep @Angels 21.7 17.3
9-Sep @Angels 22.2 17.8
10-Sep @Angels 22.6 18.4
12-Sep Rays 23.2 18.8
13-Sep Rays 23.8 19.2
14-Sep Rays 24.3 19.7
15-Sep White Sox 24.9 20.1
16-Sep White Sox 25.5 20.5
17-Sep White Sox 26.1 20.9
18-Sep White Sox 26.7 21.3
19-Sep Orioles 27.4 21.6
20-Sep Orioles 28.1 21.9
21-Sep Orioles 28.7 22.3
23-Sep @Blue Jays 29.3 22.7
24-Sep @Blue Jays 29.8 23.2
25-Sep @Blue Jays 30.3 23.7
26-Sep @Red Sox 30.7 24.3
27-Sep @Red Sox 31.2 24.8
28-Sep @Red Sox 31.7 25.3


I'm using a 50% weight for actual YTD performance and Pythagenpat record, and then 50% for the teams' pre-season projections to calculate the winning percentages to feed into log5. Home teams get a 0.02 boost, road teams get a 0.02 debit. According to these numbers, the Yankee schedule does get a little harder over the next 17 games, with seven games against the infernal Angels. From there it levels out somewhat, and according to log5 overall, the Yankees would end the season at 90-71, which isn't right because I missed a makeup game against Detroit. Log5 says that's basically a split, so we're looking at 90.5-71.5 if things play out how they look on paper. Which they won't, because they never do.

Still, this gives me hope, because I've been hearing and reading quite a bit about how hard the Yankees schedule is over the rest of the year, but the numbers don't really bear that out. The Yankees should be in the playoff hunt for the rest of the season. How rough will that Boston series be at the end of the season if Tampa wins the division and it's a fight for the wild card?

--Posted at 9:56 pm by SG / 46 Comments | - (282)




Wednesday, July 16, 2008

Where they stand

Photobucket


Photobucket

B-Pro gives the Yankees a little worse than a 9% shot at the playoffs with a 6.7% chance at the WC (9.1% PECOTA adjusted).  The Red Sox average 95.3 wins, the Rays, 93.1, and the Yankees, 83.8.  Should Tampa Bay continue to play as they are, I can see where the division leader ends up with 96 wins or less.  Winning 97 games likely means a playoff spot.

Will the Yankees win 47 more games for a possible playoff spot?  Going 47-20 over their final 67 games is really asking a lot.  The more prominent question is will they score 47 more runs this season?

--Posted at 7:55 am by Jonathan / 229 Comments | - (280)




Sunday, June 29, 2008

Easy Schedule Checkpoint - June 29

Date Opponent Exp W Exp L Act W Act L
20-May Orioles 0.6 0.4 0 1
21-May Orioles 1.2 0.8 1 1
22-May Orioles 1.8 1.2 2 1
23-May Mariners 2.5 1.5 3 1
24-May Mariners 3.2 1.8 4 1
25-May Mariners 3.8 2.2 5 1
26-May @Orioles 4.4 2.6 5 2
27-May @Orioles 4.9 3.1 5 3
28-May @Orioles 5.4 3.6 6 3
30-May @Twins 5.9 4.1 7 3
31-May @Twins 6.4 4.6 8 3
1-Jun @Twins 6.9 5.1 8 4
2-Jun @Twins 7.4 5.6 8 5
3-Jun Blue Jays 8.0 6.0 8 6
4-Jun Blue Jays 8.6 6.4 9 6
5-Jun Blue Jays 9.2 6.8 10 6
6-Jun Royals 9.8 7.2 10 7
7-Jun Royals 10.4 7.6 11 7
8-Jun Royals 11.1 7.9 12 7
9-Jun Royals 11.7 8.3 12 8
10-Jun @Athletics 12.2 8.8 13 8
11-Jun @Athletics 12.7 9.3 13 9
12-Jun @Athletics 13.1 9.9 14 9
13-Jun @Astros 13.7 10.3 15 9
14-Jun @Astros 14.2 10.8 16 9
15-Jun @Astros 14.8 11.2 17 9
17-Jun Padres 15.4 11.6 18 9
18-Jun Padres 16.1 11.9 19 9
19-Jun Padres 16.7 12.3 20 9
20-Jun Reds 17.4 12.6 20 10
21-Jun Reds 18.0 13.0 20 11
22-Jun Reds 18.6 13.4 21 11
24-Jun @Pirates 19.2 13.8 21 12
25-Jun @Pirates 19.7 14.3 22 12
27-Jun @Mets 20.2 14.8 22 13
27-Jun @Mets 20.7 15.3 23 13
28-Jun @Mets 21.2 15.8 24 13
29-Jun @Mets 21.7 16.3 24 14


Despite losing 5 of their last 9 games, the Yankees are still ahead of expectations on the easy portion of their schedule. I'd probably extend the easy schedule to include the upcoming 3 game set with the Texas Rangers, who are hitting pretty well (team OPS+ of 116) but pitching poorly (team ERA+ of 83).
--Posted at 9:25 pm by SG / 16 Comments | - (209)




Tuesday, June 24, 2008

Easy Schedule Checkpoint - June 24

Date Opponent Exp W Exp L Act W Act L
20-May Orioles 0.6 0.4 0 1
21-May Orioles 1.1 0.9 1 1
22-May Orioles 1.7 1.3 2 1
23-May Mariners 2.4 1.6 3 1
24-May Mariners 3.1 1.9 4 1
25-May Mariners 3.8 2.2 5 1
26-May @Orioles 4.3 2.7 5 2
27-May @Orioles 4.8 3.2 5 3
28-May @Orioles 5.3 3.7 6 3
30-May @Twins 5.8 4.2 7 3
31-May @Twins 6.2 4.8 8 3
1-Jun @Twins 6.7 5.3 8 4
2-Jun @Twins 7.2 5.8 8 5
3-Jun Blue Jays 7.8 6.2 8 6
4-Jun Blue Jays 8.4 6.6 9 6
5-Jun Blue Jays 9.0 7.0 10 6
6-Jun Royals 9.6 7.4 10 7
7-Jun Royals 10.3 7.7 11 7
8-Jun Royals 10.9 8.1 12 7
9-Jun Royals 11.5 8.5 12 8
10-Jun @Athletics 12.0 9.0 13 8
11-Jun @Athletics 12.4 9.6 13 9
12-Jun @Athletics 12.9 10.1 14 9
13-Jun @Astros 13.4 10.6 15 9
14-Jun @Astros 13.9 11.1 16 9
15-Jun @Astros 14.5 11.5 17 9
17-Jun Padres 15.1 11.9 18 9
18-Jun Padres 15.8 12.2 19 9
19-Jun Padres 16.4 12.6 20 9
20-Jun Reds 17.1 12.9 20 10
21-Jun Reds 17.7 13.3 20 11
22-Jun Reds 18.3 13.7 21 11


The good news is that the Yankees are still playing ahead of expectations since the easy schedule started. On May 19th they were 20-24 and 6.5 games out of first. They lost the next game to drop to 20-25 and 7.5 out, and have since then gone 21-10 and now sit 41-35 and 4.5 games back.

So that's the good news. The bad news is that it's almost over.

--Posted at 8:08 am by SG / 64 Comments | - (211)




Sunday, June 15, 2008

Easy Schedule Checkpoint - June 15 Happy Father’s Day Edition

On May 19th, I took a look at the Yankees' schedule through the All Star Break. It appeared, at least on paper, that the Yankees were entering a fairly soft part of their schedule. Here's how they've done since then, comparing their expected W/L record using Bill James's log 5 method for calculating expected winning percentage and their actual performance.

Date Opponent Exp W Exp L Act W Act L
20-May Orioles 0.7 0.3 0 1
21-May Orioles 1.3 0.7 1 1
22-May Orioles 2.0 1.0 2 1
23-May Mariners 2.7 1.3 3 1
24-May Mariners 3.3 1.7 4 1
25-May Mariners 4.0 2.0 5 1
26-May @Orioles 4.6 2.4 5 2
27-May @Orioles 5.2 2.8 5 3
28-May @Orioles 5.8 3.2 6 3
30-May @Twins 6.3 3.7 7 3
31-May @Twins 6.9 4.1 8 3
1-Jun @Twins 7.4 4.6 8 4
2-Jun @Twins 8.0 5.0 8 5
3-Jun Blue Jays 8.6 5.4 8 6
4-Jun Blue Jays 9.2 5.8 9 6
5-Jun Blue Jays 9.8 6.2 10 6
6-Jun Royals 10.4 6.6 10 7
7-Jun Royals 11.1 6.9 11 7
8-Jun Royals 11.8 7.2 12 7
9-Jun Royals 12.4 7.6 12 8
10-Jun @Athletics 12.9 8.1 13 8
11-Jun @Athletics 13.2 8.8 13 9
12-Jun @Athletics 13.7 9.3 14 9
13-Jun @Astros 14.3 9.7 15 9
14-Jun @Astros 14.8 10.2 16 9
15-Jun @Astros 15.4 10.6 17 9


So the Yankees have played a little less than two wins better than expected over the last 26 games. They've picked up 1.5 games in the division, and have scored 148 runs while allowing 118. So that's 5.7 runs scored per game and 4.5 runs allowed per game, equivalent to 922 runs scored and 735 runs allowed over a full season.

It's also a Pythagenpat winning percentage of 60.7%, which is equivalent to 16 wins over 26 games and 98 wins over 162 games.

Today's blowout 13-0 victory over Houston also gives them a positive run differential for the first time since May 10.

That's the good news. The bad news is that because of the ridiculous farce that is inter-league play, Chien-Ming Wang injured his foot doing something he shouldn't have been doing. Right now it's being called a sprained foot. Wang will have tests on his foot when the team returns to New York. Let's hope it's not too serious, as Wang appears to have recovered from a rough stretch to throw 12.1 innings of one run ball over his last two starts.
--Posted at 6:07 pm by SG / 77 Comments | - (221)




Monday, June 9, 2008

A Graphical Representation of Mediocrity

--Posted at 3:36 pm by SG / 34 Comments | - (319)




Sunday, June 1, 2008

Easy Schedule Checkpoint - June 1

Date Opponent Exp W Exp L Act W Act L
20-May Orioles 0.7 0.3 0 1
21-May Orioles 1.3 0.7 1 1
22-May Orioles 2.0 1.0 2 1
23-May Mariners 2.6 1.4 3 1
24-May Mariners 3.3 1.7 4 1
25-May Mariners 3.9 2.1 5 1
26-May @Orioles 4.5 2.5 5 2
27-May @Orioles 5.1 2.9 5 3
28-May @Orioles 5.7 3.3 6 3
30-May @Twins 6.2 3.8 7 3
31-May @Twins 6.8 4.2 8 3
1-Jun @Twins 7.3 4.7 8 4


Exp W: Expected wins using log5
Exp L: Expected losses using log5
Act W: Actual wins
Act L: Actual losses

Despite falling to the Twins earlier today, 5-1, the Yankees have so far been able to exceed their expected record through what on paper looks like an easy part of their schedule by a little less than a win.

On a completely unrelated note, rilkefan asked if I could plot the distribution of RA-ERA to see if Mike Mussina gives up a larger percentage of unearned runs than the typical pitcher. That's certainly been true this year, with Moose's respectable 4.26 ERA masking 9 unearned runs and an RA of 5.58.

Here's a graph with three sets of data. The blue line is Mussina's RA - ERA for every season of his career. The red line is the AL average for the same numbers. Lastly, the yellow line is for just Moose's teams, to account for the quality (or lack thereof) of the defense behind him in each season.


On average, Mussina's RA - ERA is 0.31, with a standard deviation of 0.28. The league average over that same stretch (1991-2008) is 0.41 with a standard deviation of 0.03. For his teams, the average RA - ERA has been 0.33 with a standard deviation of 0.08. So Moose has actually given up slightly fewer unearned runs than his teammates, but there is a fair amount of volatility in his season to season performance.

Update: yfinBrazil caught something I missed from rilkefan's original question, which is that we should divide RA-ERA by RA to account for the fact that Mussina has typically prevented runs of all kinds better than most other pitchers. Here's how that chart looks.



The numbers here show that on average, Mussina has allowed about 7% more runs than earned runs with a standard deviation of 0.05. The AL over that same stretch has allowed a very consistent 8% more runs than earned runs. Mussina's teams are at 7% as well, with a lower standard deviation (0.02).
--Posted at 7:29 pm by SG / 67 Comments | - (310)




Wednesday, May 21, 2008

2007 vs. 2008 through 45 games

Here's a game by game comparison of the first 45 games of the Yankees' 2007 and 2008.

2007 2008
Gm W/L RF RA W/L RF RA
1 1-0 9 5 1-0 3 2
2 1-1 6 7 1-1 2 5
3 1-2 4 6 2-1 3 2
4 2-2 10 7 2-2 4 13
5 2-3 4 6 2-3 3 6
6 3-3 8 2 3-3 2 0
7 4-3 10 1 4-3 6 1
8 4-4 1 5 4-4 2 5
9 4-5 4 5 4-5 0 4
10 5-5 4 3 5-5 6 1
11 5-6 4 5 6-5 4 1
12 6-6 10 3 6-6 3 4
13 7-6 9 2 6-7 5 8
14 8-6 8 6 7-7 8 7
15 8-7 6 7 8-7 5 3
16 8-8 5 7 9-7 15 9
17 8-9 6 7 9-8 5 7
18 8-10 8 10 9-9 2 8
19 8-11 4 6 9-10 0 6
20 8-12 0 6 10-10 7 1
21 8-13 4 11 11-10 9 5
22 9-13 3 1 12-10 6 4
23 9-14 4 7 12-11 6 7
24 10-14 10 1 12-12 4 6
25 11-14 4 3 12-13 3 4
26 12-14 5 2 13-13 1 0
27 12-15 11 15 14-13 5 2
28 13-15 8 1 14-14 4 6
29 14-15 5 0 14-15 2 6
30 14-16 2 3 14-16 4 8
31 15-16 8 2 15-16 5 1
32 16-16 6 2 16-16 6 1
33 16-17 2 14 17-16 8 2
34 16-18 0 3 17-17 3 5
35 17-18 7 2 17-18 0 3
36 17-19 1 2 18-18 6 3
37 17-20 3 5 18-19 5 6
38 18-20 8 1 19-19 5 2
39 18-21 1 4 19-20 1 7
40 18-22 2 3 19-21 1 2
41 18-23 7 10 20-21 2 1
42 19-23 6 2 20-22 2 5
43 20-23 6 2 20-23 4 7
44 20-24 3 7 20-24 2 11
45 21-24 8 3 20-25 2 12
244 212 181 209
PtyhagenPat 26-19 20-25
On Pace 87-75 71-91


Gm: Game # of season
W/L: Win-Loss record after that Gm
RF: Runs for
RA: Runs against

Although the Yankees are only one game off last year's pace, it's worth noting the difference in run differential between last year. Last year's team was 21-24 but if they played to their run differential for the rest of the season they'd have been expected to win 66 of their remaining games and a end up with a total of 87 wins using Pythagenpat (a more advanced form of the Pythagorean theorem). This year's team has allowed 3 fewer runs than last years, but has scored 63 fewer. The reduced run-scoring this year is part of the offensive reduction, but that also means the pitching/defense has been worse. If the 2008 Yankees play to their current run differential for the rest of the season, they're a 71 win team.

This team's record is reflective of their poor play to this point as opposed to last year, where there were reasonable expectations for improvement based on their runs for and runs against. That doesn't mean we shouldn't expect individual players to improve if they are playing below their talent level, but right now this team is every bit as bad statistically as they are in the standings.

Easier schedule starts tonight, I swear.
--Posted at 11:42 am by SG / 57 Comments | - (310)




Monday, May 19, 2008

Is the Yankees Schedule About to Get Easier?

This was a topic of debate in the last thread, so let's try and look at it empirically. I'll be using Bill James's log 5 method to assign a probability for the Yankees winning each game.

I'm assuming a 4/3/2/1 weight for 2008/2007/2006/2005 which means 2008 should be weighed at 15.6%, but I'm going to bump that up to 20% to account for roster changes that weren't captured in the original projections. So a team like Baltimore would have projected to be a 67 win team going into the season but their better than expected play gives them a four win boost to a 71 win team. The Yankees were projected around 95 wins but their underperformance to this point makes them a 91 win team right now.

Home teams get a 0.02 boost, road teams get a 0.02 debit. I then ran each game through the log 5 formula and summed it up.

So here's the Yankee schedule through the All Star Break.

Date Opponent W L
20-May Orioles 0.7 0.3
21-May Orioles 1.3 0.7
22-May Orioles 2.0 1.0
23-May Mariners 2.6 1.4
24-May Mariners 3.3 1.7
25-May Mariners 3.9 2.1
26-May @Orioles 4.5 2.5
27-May @Orioles 5.1 2.9
28-May @Orioles 5.7 3.3
30-May @Twins 6.2 3.8
31-May @Twins 6.8 4.2
1-Jun @Twins 7.3 4.7
2-Jun @Twins 7.9 5.1
3-Jun Blue Jays 8.4 5.6
4-Jun Blue Jays 9.0 6.0
5-Jun Blue Jays 9.6 6.4
6-Jun Royals 10.3 6.7
7-Jun Royals 10.9 7.1
8-Jun Royals 11.5 7.5
9-Jun Royals 12.2 7.8
10-Jun @Athletics 12.7 8.3
11-Jun @Athletics 13.2 8.8
12-Jun @Athletics 13.7 9.3
13-Jun @Astros 14.3 9.7
14-Jun @Astros 14.8 10.2
15-Jun @Astros 15.4 10.6
17-Jun Padres 16.0 11.0
18-Jun Padres 16.6 11.4
19-Jun Padres 17.2 11.8
20-Jun Reds 17.8 12.2
21-Jun Reds 18.5 12.5
22-Jun Reds 19.1 12.9
24-Jun @Pirates 19.7 13.3
25-Jun @Pirates 20.2 13.8
26-Jun @Pirates 20.8 14.2
27-Jun @Mets 21.3 14.7
28-Jun @Mets 21.7 15.3
29-Jun @Mets 22.2 15.8
30-Jun Rangers 22.8 16.2
1-Jul Rangers 23.4 16.6
2-Jul Rangers 24.1 16.9
3-Jul Red Sox 24.6 17.4
4-Jul Red Sox 25.1 17.9
5-Jul Red Sox 25.7 18.3
6-Jul Red Sox 26.2 18.8
8-Jul Rays 26.8 19.2
9-Jul Rays 27.4 19.6
11-Jul @Blue Jays 27.9 20.1
12-Jul @Blue Jays 28.4 20.6
13-Jul @Blue Jays 28.9 21.1


Through June 26th Yankees play enough bad teams that we'd expect them to go somewhere in the neighborhood of 21-14, which is equivalent to a pace of 96 wins over 162 games. That would get them to 41-38 which still doesn't seem all that impressive, so maybe they can steal a few extra games in here.

Looking at the bigger picture through the All Star Break, the schedule gets harder but the Yankees should go 29-21 or so over their next 50 games, which is equivalent to a 93.5 win pace over a full season. If they can do that or something close to that, they'll go into the All Star Break at a record of 49-45.

So I think we'll know by June 26th if this team has any chance at contending.
--Posted at 5:01 pm by SG / 33 Comments | - (341)




Friday, May 2, 2008

MLB Actual Standings vs Projected Standings as of May 1,2008

I don't feel about writing about last night's 8-4 loss to the Tigers, so here's a little comparison of how MLB is shaping up so far this season compared to the preseason projections I ran. The first group of columns if or actual YTD performance, the second set is for the average of the projection systems I ran in the post linked above, and then the last set are the differences between the two. So in the case the Yankees, they were projected to win 18 of 30 games and score 171 runs while allowing 142. Instead they've won 4 fewer games and scored 42 fewer runs than expected.

This doesn't factor in difficulty of schedule which may impact some teams more than others, I am strictly multiplying overall 162 game projections time actual games played. That shouldn't be a huge impact, but it should be considered.

American League Actual Projected Diff
EAST W L RS RA W L RS RA W L RS RA
Tampa Bay 16 12 134 111 14 14 141 138 2 -2 -7 -27
Boston 17 13 136 133 17 13 159 137 0 0 -23 -4
Baltimore 15 13 118 126 12 16 130 158 3 -3 -12 -32
NY Yankees 14 16 129 141 18 12 171 142 -4 4 -42 -1
Toronto 12 17 119 112 15 14 139 131 -3 3 -20 -19
CENTRAL W L RS RA
Chicago Sox 14 12 131 105 12 14 126 139 2 -2 5 -34
Cleveland 14 15 130 122 16 13 150 132 -2 2 -20 -10
Detroit 14 15 150 152 16 13 154 136 -2 2 -4 16
Minnesota 13 14 102 122 13 14 121 131 0 0 -19 -9
Kansas City 12 16 101 131 13 15 131 146 -1 1 -30 -15
WEST W L RS RA
LA Angels 18 12 148 144 16 14 148 136 2 -2 0 8
Oakland 18 12 150 110 15 15 141 143 3 -3 9 -33
Seattle 13 16 129 122 14 15 128 137 -1 1 1 -15
Texas 11 18 132 178 13 16 146 160 -2 2 -14 19
National League
EAST W L RS RA W L RS RA W L RS RA
Philadelphia 16 13 136 124 15 14 156 145 1 -1 -20 -21
NY Mets 14 12 119 118 15 11 134 113 -1 1 -15 5
Florida 15 13 124 142 12 16 129 151 3 -3 -5 -9
Atlanta 12 15 129 107 15 12 137 127 -3 3 -8 -20
Washington 12 17 107 136 13 16 137 156 -1 1 -30 -20
CENTRAL W L RS RA
St. Louis 18 11 135 104 14 15 136 140 4 -4 -1 -36
Chicago Cubs 17 11 174 124 15 13 143 130 2 -2 31 -6
Milwaukee 16 12 130 131 15 13 142 134 1 -1 -12 -3
Houston 13 16 131 132 13 16 136 148 0 0 -5 -16
Cincinnati 12 17 124 139 14 15 139 148 -2 2 -15 -9
Pittsburgh 11 17 130 163 12 16 124 145 -1 1 6 18
WEST W L RS RA
Arizona 20 8 165 109 15 14 131 127 5 -6 34 -18
LA Dodgers 15 13 142 110 15 13 132 127 0 0 10 -17
San Francisco 13 16 93 131 13 16 122 135 0 0 -29 -4
Colorado 11 17 114 144 14 14 143 140 -3 3 -29 4
San Diego 11 18 94 133 15 14 132 126 -4 4 -38 7


So like I said above, the Yankees have been 4 wins worse than projected so far. What's interesting is that despite all the noise/blame being assigned to the young pitching staff, their offense is the real problem. They allowed right around the same number of runs as they projected to, but they scored 42 fewer, which matches up with the 4 win shortfall.

The Yankees are tied with San Diego for the dubious honor of biggest disappointments so far. The Diamondbacks are the biggest positive surprise. Another interesting thing to note is that scoring is down about 7.3% from the projections. It's probably more early statistical noise than anything.

I'm going to be on vacation next week so no posts from me most likely, although I may pipe in if something big happens. Sean and Jonathan will cover for me and hopefully bring better luck than I have been bringing.
--Posted at 7:09 am by SG / 157 Comments | - (375)




Tuesday, April 29, 2008

Winning Ugly

It wasn’t pretty, but the Yankees managed to take the last game of their four game set with Cleveland last night, 5-2.  Mike Mussina pitched well although he was only able to last through five innings.  I’m pretty happy with how Moose is pitching this year, although I have to be honest that I don’t know how he’s doing it.

The Yankees didn’t get a hit until the sixth inning, then came the weakest rally ever.

Yankees sixth. Cabrera infield single to third. Jeter infield single to third, Cabrera to second. Abreu singled to left, Cabrera to third, Jeter to second. Rodriguez was hit by a pitch, Cabrera scored, Jeter to third, Abreu to second. Giambi grounded out, first baseman Garko unassisted, Jeter scored, Abreu to third, Rodriguez to second. Matsui grounded out, first baseman Garko unassisted, Abreu scored, Rodriguez to third. Lewis pitching. Ensberg infield single to third, Rodriguez scored. Cano grounded out, pitcher Lewis to second baseman Carroll to first baseman Garko.

That turned out to be enough, as the Yankee pen pitched four scoreless to back up Moose and the Yankee offense added an insurance run in the 8th for the final margin of victory.

At this point, let’s look back at the April Expectations post.  Using log5 and the projected winning percentages of the Yankees and their opponents, we see that at this point in the season we should have expected the Yankees to be 15.4 - 11.6.  They’re 14-13 instead, so they underperformed by about 1.4 wins.  All things considered with injuries and individual players disappointing, that’s not too bad in my opinon.

Alex Rodriguez looks to be out for at least the next two games after re-aggravating his quad injury. 

Yanks finally come home after playing more April road games than any team in baseball history to take on the Detroit Tigers, who started out 0-7 but have gone 11-8 since. 

--Posted at 7:16 am by SG / 104 Comments | - (354)




Tuesday, April 8, 2008

Kansas City Here We Come

Behind Bobby Abreu and Mike Mussina the Yankees took the final game of their series with Tampa last night, 6-1., salvaging a series split after losing the first two games.  Moose was brilliant, allowing just two hits and one run over six innings.  Tampa doesn’t look to have a great offense this season, but they are probably middle of the pack and have some dangerous players in the lineup, so this was a very encouraging outing.  Moose’s fastball sat around 85 most of the night, but he had a great slow curve going that helped him keep the Rays off balance.  I feel a little more comfortable that Mussina will be serviceable after this game than I did after his first start.

Abreu started the offense off with a two-run HR in the first inning, one of his three hits and a walk on the night.  Hideki Matsui also chipped in a couple of hits.

The news wasn’t all good as Derek Jeter left the game with a strained quad and is being listed as day-to-day.  While losing Jeter hurts, it shouldn’t be for too long.  Also, having Wilson Betemit to replace him instead of my beloved Miguel Cairo makes it sting a little less.  With Jason Giambi seemingly unavailable this looks like Morgan Ensberg’s chance for some PT.  He hasn’t looked good at scooping throws at first although he seems pretty good at fielding batted balls. 

LaTroy Hawkins finally pitched a full scoreless inning as a Yankee.  I’m willing to give Hawkins a bit of a long leash because he has a long track record of being useful and he seems like a good guy, as well as our experience with Luis Vizcaino last year.  It seems like the fans at the Stadium don’t care about that because he’s had the audacity to wear Paul O’Neill’s number.  Hopefully he can get himself sorted out.

Next up, a three game set with the Kansas City Royals.  They’re 4-2 and in second place in the AL Central. 

To hammer home how early it is, here’s how the final AL standings would look if each team played to their PythagenPat record for the rest of the season.

AL East
TOR 121-41
BAL 98-64
TB 94-68
NYA 65-97
BOS 57-105

AL Central
CHA 105-57
KC 101-61
CLE 78-84
MIN 57-105
DET 26-136

AL West
TEX 94-68
OAK 90-72
LAA 84-78
SEA 76-86

Somewhere Steve Phillips is weeping.

--Posted at 8:05 am by SG / 32 Comments | - (384)




Sunday, March 23, 2008

The 2008 Diamond Mind Projection Blowout Pt 2

Apparently this entry was too big for one post, so I’ve split it up into two.

Lastly, 1000 iterations of CAIRO
Team High Low StD StD StD Median Mode Div W Wild Card
American League W L RF RA DIV WC Playoff% Wins Wins W RF RA Wins Wins Avg Avg
East
Bos08 94.2 67.8 874 734 488 245 73% 114 77 88 - 100 830 - 919 696 - 771 94 93 98 92
NYA08 93.0 69.0 940 802 394 302 70% 114 74 87 - 99 893 - 986 762 - 842 93 95 92
Tor08 86.4 75.6 779 714 99 182 28% 105 67 80 - 92 737 - 820 679 - 749 86 86 86
Tam08 81.4 80.6 818 806 19 79 10% 101 63 75 - 88 777 - 859 765 - 846 81 80 80
Bal08 66.6 95.4 760 948 0 2 0% 88 46 60 - 73 721 - 799 901 - 996 66 66 66
Central
Det08 88.5 73.5 870 785 496 64 56% 107 63 82 - 95 830 - 910 745 - 826 89 87 92
Cle08 87.9 74.1 825 739 439 78 52% 108 68 82 - 94 784 - 865 701 - 776 88 88 86
KC08 76.6 85.4 753 813 31 13 4% 99 53 70 - 83 714 - 792 771 - 855 77 75 80
Min08 75.5 86.5 709 765 26 5 3% 94 53 69 - 82 672 - 746 727 - 803 76 76 75
ChA08 73.5 88.5 769 839 9 5 1% 96 49 67 - 80 728 - 809 798 - 881 74 74 69
West
LAA08 87.2 74.8 793 731 685 9 69% 108 67 81 - 93 755 - 832 694 - 769 87 88 89
Sea08 80.0 82.0 741 763 172 11 18% 98 63 74 - 86 702 - 781 722 - 804 80 81 82
Tex08 75.9 86.1 816 877 84 3 9% 97 54 70 - 82 776 - 856 834 - 921 76 75 77
Oak08 75.2 86.8 757 816 59 3 6% 98 54 69 - 82 718 - 795 775 - 857 75 75 71
National League
East
NYN08 94.6 67.4 833 704 712 125 84% 115 76 88 - 101 793 - 873 666 - 742 95 95 96 90
Atl08 88.4 73.6 818 738 243 235 48% 109 71 82 - 95 777 - 859 700 - 776 88 88 88
Phi08 81.8 80.2 866 839 45 87 13% 104 59 76 - 88 823 - 909 799 - 880 81 81 81
Was08 69.2 92.8 770 888 0 1 0% 89 51 63 - 75 730 - 810 846 - 930 69 67 72
Flo08 68.5 93.5 743 869 0 3 0% 90 48 62 - 75 705 - 781 830 - 909 69 70 65
Central
ChN08 88.7 73.3 839 754 586 41 63% 112 72 83 - 95 798 - 880 716 - 792 89 91 91
Mil08 84.0 78.0 795 762 231 63 29% 105 57 78 - 90 755 - 836 725 - 799 84 84 85
StL08 79.7 82.3 772 777 84 26 11% 100 60 74 - 86 734 - 810 738 - 816 80 83 81
Cin08 77.8 84.2 780 825 61 16 8% 99 59 71 - 84 741 - 817 783 - 867 78 77 77
Hou08 75.7 86.3 780 823 37 11 5% 98 57 69 - 82 740 - 819 784 - 863 76 77 73
Pit08 68.2 93.8 715 875 2 0 0% 88 49 62 - 74 678 - 753 833 - 917 68 67 66
West
Ari08 86.7 75.3 744 694 302 97 40% 108 65 80 - 93 705 - 782 656 - 731 86 85 93
LAN08 86.1 75.9 763 736 243 118 36% 108 69 80 - 92 724 - 802 696 - 776 86 86 88
SD08 85.9 76.1 762 705 253 93 35% 105 66 80 - 92 724 - 800 669 - 741 86 88 84
Col08 84.8 77.2 832 785 202 86 29% 102 64 78 - 91 790 - 873 746 - 823 85 84 79
SF08 68.1 93.9 691 799 1 1 0% 87 50 62 - 74 655 - 726 760 - 838 68 67 68


Here's what it looks like if we combine those 6000 iterations into one aggregate set of standings.

Team High Low StD StD StD Median Mode Div W Wild Card
American League W L RF RA DIV WC Playoff% Wins Wins W RF RA Wins Wins Avg Avg
East
NYA08 95.1 66.9 924 769 3218 1353 76% 11870 88-102 875-973 716-822 95 98 98 92
BOS08 92.2 69.8 857 741 2043 1651 62% 11871 86-99 809-904 696-785 92 92 92
TOR08 85.0 77.0 775 733 461 874 22% 11058 78-92 733-817 679-787 85 86 86
TB08 82.1 79.9 816 797 279 542 14% 10951 75-89 770-862 738-857 82 84 79
BAL08 66.9 95.1 754 917 0 6 0% 9046 60-73 713-795 868-967 67 66 67
Central
DET08 90.7 71.3 863 757 3251 545 63% 11763 84-97 818-908 715-799 91 91 94
CLE08 89.2 72.9 836 737 2521 633 53% 11467 82-96 793-878 694-781 89 90 87
MIN08 75.2 86.8 723 783 92 51 2% 10552 69-82 679-766 738-828 75 76 79
CHA08 73.8 88.2 788 866 80 33 2% 9649 67-81 745-830 813-919 74 74 74
KC08 73.0 89.0 756 847 60 25 1% 9951 66-80 715-797 799-896 73 73 68
West
LAA08 88.2 73.8 800 732 4012 104 69% 11265 82-95 757-842 691-773 88 90 90
OAK08 79.9 82.1 761 773 1248 79 22% 10754 72-88 716-806 714-831 80 81 83
SEA08 76.8 85.2 717 765 500 91 10% 10353 69-84 675-759 716-814 77 76 76
TEX08 74.0 88.0 815 891 241 22 4% 9751 67-81 771-859 839-942 74 73 70
National League
East
NYN08 95.2 66.8 837 702 4172 908 85% 11968 89-102 790-885 652-753 95 95 97 91
ATL08 87.1 74.9 821 761 1020 1351 40% 11361 80-94 773-869 714-808 87 88 89
PHI08 86.0 76.0 871 811 794 1199 33% 11259 79-93 821-920 768-854 86 85 83
WAS08 70.3 91.7 763 870 10 21 1% 9248 64-77 720-805 824-915 70 71 72
FLA08 67.8 94.2 747 874 6 13 0% 9342 61-75 702-792 827-922 68 66 65
Central
CHN08 88.2 73.8 829 753 3159 324 58% 11562 81-95 786-872 707-799 88 89 92
MIL08 85.0 77.0 821 775 1774 343 35% 11057 78-92 777-864 733-818 85 84 85
STL08 78.3 83.7 762 784 503 130 11% 10151 71-85 715-809 738-831 78 78 81
CIN08 76.9 85.1 777 825 318 107 7% 10149 70-84 732-822 780-869 77 74 77
HOU08 74.6 87.4 760 826 196 66 4% 9947 68-81 712-809 778-873 75 74 72
PIT08 69.8 92.2 718 839 53 26 1% 9646 62-77 675-760 791-888 70 67 66
West
LAD08 85.4 76.6 764 732 1705 466 36% 10863 79-92 722-806 693-772 85 86 92
SD08 84.3 77.7 738 702 1613 337 33% 11157 77-92 691-786 660-745 84 83 86
ARI08 83.9 78.2 760 733 1396 352 29% 10860 77-91 706-815 681-784 84 83 82
COL08 82.5 79.5 828 811 1195 333 25% 11254 75-90 776-881 748-873 82 83 78
SF08 72.9 89.1 684 756 93 30 2% 9750 66-80 641-726 702-811 73 76 71


It's been far too long between pie charts here on the RLYW, so here are mad pie charts with the division title breakdowns for each division using all 6000 iterations.













Lastly, here's a simple table that just looks at the average projected wins for each team by projection system.

Team cairo chone dmb hbt pecota zips avg
ARI08 86.7 85.4 78.4 81.7 86.5 84.4 83.9
ATL08 88.4 84.3 85.2 85.3 85.5 93.9 87.1
BAL08 66.6 64.3 68.3 67.0 66.3 68.9 66.9
BOS08 94.2 91.9 91.9 93.4 91.0 91.0 92.2
CHA08 73.5 74.9 71.7 75.2 77.8 69.5 73.8
CHN08 88.7 86.9 85.3 86.3 89.1 93.0 88.2
CIN08 77.8 80.1 73.0 77.6 79.3 73.5 76.9
CLE08 87.9 91.7 90.4 86.1 90.5 88.3 89.2
COL08 84.8 76.5 90.4 81.2 83.4 78.5 82.5
DET08 88.5 90.8 94.7 89.2 90.2 90.9 90.7
FLA08 68.5 69.2 68.8 63.0 74.0 63.4 67.8
HOU08 75.7 74.4 79.0 73.6 74.2 70.5 74.6
KC08 76.6 69.3 72.3 73.4 72.5 73.8 73.0
LAA08 87.2 91.6 86.9 90.4 87.8 85.4 88.2
LAD08 86.1 84.9 84.8 83.8 88.7 84.3 85.4
MIL08 84.0 85.5 83.4 87.9 86.4 82.6 85.0
MIN08 75.5 76.7 77.3 75.4 70.8 75.5 75.2
NYA08 93.0 92.5 96.7 92.9 97.0 98.5 95.1
NYN08 94.6 92.6 92.2 98.1 94.4 99.3 95.2
OAK08 75.2 74.5 83.8 79.0 78.2 88.7 79.9
PHI08 81.8 87.8 83.7 89.9 85.5 87.1 86.0
PIT08 68.2 75.7 68.2 68.4 73.6 64.6 69.8
SD08 85.9 84.0 81.6 88.9 78.2 87.4 84.3
SEA08 80.0 82.6 75.9 77.3 73.5 71.7 76.8
SF08 68.1 72.9 73.8 74.4 69.4 78.6 72.9
STL08 79.7 76.0 82.5 80.4 73.0 78.0 78.3
TB08 81.4 87.1 80.1 80.6 86.3 77.3 82.1
TEX08 75.9 72.2 72.2 76.0 74.8 72.7 74.0
TOR08 86.4 82.9 87.3 84.9 78.5 89.8 85.0
WAS08 69.2 70.7 70.3 68.9 73.7 68.8 70.3


I'll go through each team briefly.

AL East

Yankees
Projected W-L: 95-67
Playoff %: 76%
Best Average Projection: ZiPS (98-64)
Worst Average Projection: Chone (93-69)
The consensus is the Yankees are the best team in the American League. This doesn't seem unrealistic if their young pitchers perform as projected, but that's a really big if. Any projections of young pitchers based primarily on MLEs are probably g