The Curse of Jerry Hairston, Jr./Eric Hinske:
 








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MLB Trade Rumors: Offseason Outlook: New York Yankees
(17 Comments - 10/22/2014 7:56:45 pm)

Newsday: Gary Denbo expected to replace Mark Newman in Yankees’ front office
(43 Comments - 10/22/2014 11:12:13 am)

NY Post: With Chili Davis off market, Yankees turn to Dave Magadan
(27 Comments - 10/21/2014 4:14:39 am)

TGS NY: Can McCann help lead the Bombers back?
(42 Comments - 10/19/2014 6:53:53 pm)

NYDN: Dave Magadan, Chili Davis are early frontrunners for Yankees hitting coach job
(34 Comments - 10/17/2014 9:05:10 am)

TGS NY: Eleven young Yankees on the rise in 2015
(76 Comments - 10/16/2014 10:13:29 am)

Newsday: Sources: Yankees considering Omar Minaya for high-ranking position in front office
(75 Comments - 10/15/2014 9:29:03 am)

NY Post: Yankees make to-do list: Third base, shortstop, rotation, closer
(63 Comments - 10/15/2014 1:12:44 am)

CBS Local: Yankees, General Manager Brian Cashman Agree To 3-Year Extension
(120 Comments - 10/14/2014 8:11:12 pm)

Yankees.com: Cashman signs three-year deal to continue as GM
(1 Comment - 10/10/2014 3:26:05 pm)



Player

Current Projected

Look what people have to say about the RLYW!

CAIRO just takes the Marcels and changes the underlying assumptions and components in a bunch of ways that make the Yankees look better.
-alskor

Wow, two stupid posts in one day. I think you’ve reached your yearly quota.
sabernar

I don’t know if any of you current posters were around for that, but if so, I just can’t understand how you can call yourselves Yankee fans. Pathetic quitters is what you sounded like. Of the lame posts I could stand to read, the only person who had any confidence in the Yankees at that point was a (yeesh) Red Sox fan.
Jeter is King

Quite the attitude you have SG. Maybe you should shitcan this blog and join Steve at WasWatching? Or follow some other stupid team that has made the PS 15 of the last 17 years. Jeez… and some people think Yankee fans are entitled.
OldYanksFan




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Wednesday, November 20, 2013

CAIRO 2014 v0.2’s Extremely Early and Completely Useless 2013 Projected MLB Standings

I figured I had a long offseason ahead of me if I was going to do everything in my power to make the Yankees look better than they are. The thing that needed to be done first was put the Yankees in the context of the rest of MLB.  So I’ve been working on building my CAIRO season simulation disk and gave it a trial run last night.  This was current through rosters as of yesterday morning.

As the title says, this is extremely early and completely useless so think of it more as a goof than anything too serious.  So using CAIRO v0.2 which I’ll probably post tomorrow and the depth charts from MLB Depth Charts and Rotochamp as a rough gauge of playing time, here’s how the 2014 MLB season looks as of November 20.

Date 11/20/2013
American League
TM W L RS RA Div WC1 WC2 PS%
Red Sox 92 70 808 728 53.4% 10.7% 9.8% 73.9%
Rays 87 75 664 587 21.3% 11.6% 11.7% 44.5%
Blue Jays 86 76 816 761 14.9% 10.2% 11.7% 36.8%
Orioles 84 78 750 711 10.4% 6.3% 8.7% 25.4%
Yankees 71 91 674 801 0.1% 0.2% 0.2% 0.5%
TM W L RS RA Div WC WC2 PS%
Tigers 91 71 773 661 71.1% 4.9% 4.5% 80.6%
Indians 85 77 725 670 21.6% 10.1% 10.0% 41.7%
Royals 79 83 703 758 6.1% 2.0% 4.1% 12.1%
Twins 74 88 707 774 1.2% 0.2% 0.8% 2.2%
White Sox 70 92 711 804 0.0% 0.1% 0.2% 0.3%
TM W L RS RA Div WC WC2 PS%
Rangers 91 71 760 641 61.4% 12.9% 9.0% 83.3%
Athletics 86 76 710 641 24.6% 17.6% 16.4% 58.6%
Angels 84 78 664 643 13.8% 12.8% 12.4% 39.0%
Mariners 72 90 617 684 0.2% 0.4% 0.7% 1.4%
Astros 54 108 660 970 0.0% - - -
National League
TM W L RS RA Div WC WC2 PS%
Nationals 90 72 697 608 52.9% 19.3% 10.1% 82.3%
Braves 90 72 645 589 45.1% 23.5% 10.5% 79.1%
Phillies 77 85 634 676 1.4% 1.6% 3.8% 6.9%
Marlins 73 89 574 641 0.5% 0.9% 1.7% 3.2%
Mets 68 94 589 682 0.1% - 0.1% 0.2%
TM W L RS RA Div WC WC2 PS%
Reds 87 75 676 620 34.6% 9.8% 9.3% 53.7%
Pirates 87 75 593 551 36.3% 8.7% 10.3% 55.2%
Cardinals 85 77 621 574 27.1% 9.0% 10.5% 46.5%
Brewers 75 87 706 763 1.3% 0.8% 1.5% 3.6%
Cubs 73 89 625 680 0.9% 0.3% 1.0% 2.1%
TM W L RS RA Div WC WC2 PS%
Dodgers 88 74 640 584 42.3% 7.0% 10.4% 59.6%
Giants 85 77 607 574 20.0% 6.5% 10.5% 37.1%
Diamondbacks 84 78 618 588 20.0% 6.3% 9.9% 36.2%
Rockies 81 81 852 861 9.9% 3.2% 6.4% 19.6%
Padres 80 82 602 596 7.8% 3.0% 4.1% 14.9%

W: Projected final 2014 wins
L: Projected final 2014 losses
RS: Projected final 2014 runs scored
RA: Projected final 2014 runs allowed
Div: Division win percentage
WC1: Wild card win percentage
WC2: Wild card win percentage
PS: Postseason percentage (Div + WC1 + WC2)
W+/-: Projected wins within one standard deviation

Let me reiterate, these are extremely early and completely useless.  There are literally hundreds of free agents still out there to be signed, and trades to be made, and players to be injured.  There’s also the traditional error bars that projections have, which means you should probably look at this with a 10 game swing on either side of a team’s average projected win total, particularly right now with so much roster churn to come.

But if you are a Yankee fan, like I used to be, this is pretty disheartening.  It’s not surprising, and if you put the lineup and pitching staff together based on how they project in 2014 you will see they are about as far from championship caliber as any team in the American League.  Maybe moreso considering the relative strength of their division. 

No, the Astros are not an AL team, even if they use a DH.

Don’t worry though, the Yankees will sign Carlos Beltran and he’ll make them a 95 win team.

--Posted at 8:09 am by SG / 61 Comments | - (0)




Monday, August 26, 2013

NY Times: Yankees Find a Way to Avoid a Sweep

ST. PETERSBURG, Fla. — At age 37 with cranky knees, Alfonso Soriano is not nearly as swift as he once was. In an earlier life with the Yankees in his middle 20s, Soriano was able to rely on sheer speed and agility as he twice recorded seasons with 40 stolen bases.

Now, stolen bases come more from his mind and the knowledge he has accrued in 15 years in the major leagues, and few were as critical as the one he swiped in the 11th inning Sunday that led directly to a vital 3-2 victory over the Tampa Bay Rays.

Summoning every bit of information about the craft of base stealing that he had gleaned from his previous 365 attempts — and with his manager’s blessing — Soriano set out on an 85-foot sprint that changed the course of the game, and perhaps the Yankees’ playoff hopes.

The Yankees really needed to win two of the three games in Tampa Bay over this weekend, but alas they couldn’t do it.  Saturday’s game was the killer, as CC Sabathia looked like vintage CC for just about the whole game except for a four batter stretch that cost the Yankees their 2-0 lead and the game.  CC was pretty much sitting 94-95 all game, something he hasn’t done all year.  Unfortunately, even if he pitches well going forward it’s probably too little and too late.

The big problem the Yankees face now is that they need a lot of help from a lot of crappy teams.  They’re fighting against Cleveland and Oakland teams that have easier schedules going forward, even if the Yankees were able to take care of their own business against Baltimore, Boston and Tampa Bay.  Here are my estimated projected strengths of schedule for each team over the rest of the season, accounting for home field advantage.

Team Opponent W%
Indians .486
Athletics .490
Rangers .492
Yankees .500
Rays .509
Red Sox .512
Orioles .522

And here’s how many wins every team ahead of the Yankees project to end the season with.

TM W
Tigers 98
Red Sox 94
Rangers 93
Rays 93
Athletics 90
Indians 88
Orioles 86
Yankees 85

Let’s put that in the perspective of the expected W-L records over the rest of the season.

Team W L
Yankees 16 16
Rays 19 15
Rangers 18 14
Athletics 18 15
Red Sox 17 13
Indians 17 15
Orioles 16 17

Let’s forget about Boston, Tampa Bay and Texas for now.  I can’t see the Yankees making up the seven or eight games in projected record over the rest of the season to catch any of them.  Yeah, they play Boston seven more times, all at home, but even if they win five of those seven games they still have to make up another five games.  They play the Rays just three more times, so even if they sweep that series they would have to make up another four games.

The Yankees play the Orioles seven more times (three at home, four on the road so they can pass them by beating them.

Which means it’s basically down to winning the games they can win and then watching what Oakland and Cleveland do in these remaining games.

Game #
Angels@Athletics 3
Astros@Athletics 4
Athletics@Angels 3
Athletics@Mariners 3
Athletics@Rangers 3
Athletics@Tigers 4
Athletics@Twins 3
Rangers@Athletics 3
Rays@Athletics 3
Twins@Athletics 4
Game #
Astros@Indians 4
Indians@Braves 3
Indians@Royals 3
Indians@Tigers 3
Indians@Twins 4
Indians@White Sox 4
Mets@Indians 3
Orioles@Indians 3
Royals@Indians 3
White Sox@Indians 2

I’d feel better about the Yankees’ chances if Oakland didn’t have so many games left against the Angels, Astros, Mariners and Twins and Cleveland didn’t have so many games left against the Astros, Twins, White Sox and Mets.

I fear the Yankees have run out of time.  They are probably one of the six best teams in the AL right now, but they haven’t been for too much of the season to make up for it.

--Posted at 8:03 am by SG / 18 Comments | - (0)




Thursday, August 15, 2013

Best 43 Games Stretches by Every 2013 MLB Team

Tm StartDate EndDate W-L WPCT season WPCT% RS RA
LAD 6/22 8/9 35-8 .814 .583 209 130
PIT 5/14 6/30 30-13 .698 .597 166 131
STL 4/9 5/27 30-13 .698 .571 198 133
TBR 6/16 8/4 30-13 .698 .568 175 124
ATL 6/26 8/14 29-14 .674 .612 221 146
CIN 4/15 5/31 29-14 .674 .567 197 136
DET 6/20 8/8 29-14 .674 .588 236 161
NYY 4/7 5/25 29-14 .674 .521 191 146
OAK 5/15 7/2 29-14 .674 .563 199 147
TEX 4/2 5/19 29-14 .674 .579 210 150
CLE 6/14 8/1 28-15 .651 .537 211 163
TOR 5/5 6/23 28-15 .651 .458 242 181
BOS 4/13 5/27 27-16 .628 .590 215 184
KCR 6/26 8/13 27-16 .628 .525 186 162
CHC 4/5 5/23 16-27 .372 .433 173 180
CHW 6/5 7/25 16-27 .372 .387 184 209
COL 6/13 7/31 16-27 .372 .467 152 202
HOU 4/17 6/2 16-27 .372 .328 171 241
LAA 4/3 5/19 16-27 .372 .445 186 226
MIL 4/19 6/4 16-27 .372 .433 174 209
NYM 4/19 6/8 16-27 .372 .458 143 196
SDP 6/18 8/6 16-27 .372 .450 152 193
SFG 5/16 7/2 16-27 .372 .437 151 189
MIA 5/6 6/23 15-28 .349 .387 137 188

I figured this would give some perspective on just how hard it’s going to be for the Yankees to win 30+ of their 43 remaining games. 

 

--Posted at 8:48 am by SG / 18 Comments | - (0)




Monday, July 22, 2013

2013 MLB Postseason Odds Through Games of July 21

Date 7/22/2013
Iterations 1,000,000
American League
TM W L RS RA Div WC1 WC2 PS%
Red Sox 94 68 825 730 51.6% 23.9% 10.6% 86.1%
Rays 92 70 743 651 34.7% 29.4% 16.5% 80.7%
Orioles 88 74 763 740 11.0% 16.1% 20.9% 47.9%
Yankees 83 79 694 684 2.3% 4.4% 8.9% 15.5%
Blue Jays 77 85 758 748 0.0% 0.8% 1.1% 1.9%
TM W L RS RA Div WC WC2 PS%
Tigers 91 71 806 682 75.1% 2.2% 4.9% 82.2%
Indians 86 76 758 730 21.6% 4.7% 8.8% 35.2%
Royals 78 84 668 679 2.7% 0.5% 1.7% 4.8%
Twins 70 92 672 778 0.1% - 0.2% 0.3%
White Sox 69 93 658 734 0.1% - 0.1% 0.2%
TM W L RS RA Div WC WC2 PS%
Athletics 93 69 725 641 74.0% 5.2% 6.6% 85.8%
Rangers 88 74 733 690 23.7% 11.2% 16.6% 51.5%
Angels 80 82 747 709 1.7% 1.2% 2.5% 5.4%
Mariners 74 88 660 727 0.2% 0.1% 0.5% 0.7%
Astros 55 107 625 868 0.0% - - -
National League
TM W L RS RA Div WC WC2 PS%
Braves 93 69 694 600 90.0% 0.6% 2.7% 93.2%
Nationals 81 81 635 622 5.9% 1.6% 8.3% 15.8%
Phillies 78 84 647 698 3.2% 0.5% 3.2% 6.8%
Mets 75 87 666 715 0.6% 0.4% 1.0% 1.9%
Marlins 61 101 559 701 0.0% - - -
TM W L RS RA Div WC WC2 PS%
Cardinals 98 64 757 614 68.0% 21.5% 9.7% 99.1%
Reds 91 71 718 622 15.3% 38.6% 31.4% 85.4%
Pirates 91 71 638 603 16.2% 34.8% 32.7% 83.7%
Cubs 73 89 659 695 0.1% - 1.3% 1.4%
Brewers 69 93 660 728 0.0% - 0.2% 0.2%
TM W L RS RA Div WC WC2 PS%
Diamondbacks 84 78 688 672 41.5% 1.0% 3.0% 45.6%
Dodgers 83 79 647 631 37.9% 0.5% 3.5% 41.8%
Rockies 78 84 742 765 12.6% 0.2% 1.6% 14.3%
Giants 77 85 652 670 6.9% - 0.9% 7.8%
Padres 71 91 642 714 0.7% 0.1% 0.2% 1.0%

W: Projected final 2013 wins
L: Projected final 2013 losses
RS: Projected final 2013 runs scored
RA: Projected final 2013 runs allowed
Div: Division win percentage
WC1: Wild card win percentage
WC2: Wild card win percentage
PS: Postseason percentage (Div + WC1 + WC2)

At least the Yankees have a good chance of not finishing last.

Should they sell?  Probably.  Will they sell?  Probably not.

--Posted at 9:27 am by SG / 59 Comments | - (0)




Wednesday, March 27, 2013

The 2013 MLB Projection Blowout

With Opening Day rapidly approaching, it’s time for my 2013 MLB projected standings blowout.  The idea behind this series of posts is to try and project how the 2013 MLB season might look given what we think we may know right now.  I’ve been doing a version of this since 2005, and you can see the results by looking at the following links.

2005
2006
2007
2008 Pt 1
2008 Pt 2
2009 AL
2009 NL
2010 AL
2010 NL
2011 AL
2011 NL
2012

A quick look at the previous seasons shows that the results are hit and miss.  Projections don’t pretend to be omnisicent, so they can only tell us so much about how things play out.  Hence the following disclaimers.

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 actual 2013 playing time. I used the rosters and depth charts available at MLB Depth Charts plus whatever I’ve read over the offseason 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. Basically, no players are set to play more than 90% of the time, starting catchers are restricted to at most about 75% of the games, and I’ve made sure teams get a non-trivial amount of starts from their 6-8 starters. The healthier a team is in 2013, the more likely they will be to exceed these projections, and vice versa.

3) We cannot predict injuries and/or roster changes. These simulations do try to adjust projected playing time based on past health issues, so someone like Erik Bedard 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 NOT my predictions. These are projections based on running a computer simulation hundreds of 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 2006 Tigers projecting to win 80, the 2010 Giants projecting to go 81-81 or the 2012 Orioles projecting to win 70 games.  These are not meant to tell you how the season is going to play out.  I prefer to think of them more as a starting point for discussion, with a range of something like 10 wins in either direction based on how things actually end up playing out.  You can look at them and argue about why you think some teams will be better or worse.

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

6) These are the averages of hundreds of thousands of simulated 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.  If the first place team in a division projects to win 85 games, it doesn’t mean 85 wins will win the division, but I’ll get into that into more detail further down in this post.

7) Even if you knew exactly what every player would do, and exactly how much they’d play, you would not get the standings right.  A few one run games or a disparate performance in more crucial situations can cause any team to over/under achieve what their stats say they should have done.  So if that’s true, you have to figure that since we have no idea what any individual player do or how much they’ll play, the margin of error on these is massive.

There’s too much stuff to fit it all into one post, so I’ve created a separate post for each projection system.  I will use this post to show the results of the aggregate/average of all the projections. You can follow the links below to look at the individual projection systems’ results.

This year, I’m using five different projection systems.  You can click on each of the links below to get some more information about each system and to see how their specific projected standings look.

CAIRO
Marcel
Oliver
Steamer
ZiPS

I should note that the Marcel projections used here were generated using Python code provided by Jeff Sackmann and are not the “official” projections, although they should be almost identical.  I’ll also mention that ZiPS will have its own projected standings so these should not be considered the official version.  Playing time distribution, run environments and park factors may cause some divergence between what ZiPS forecasts and what mine say.  When in doubt, go with the official version.

With all the disclaimers out of the way, on to the projected standings.  These are the combined results for all five projection systems.  The standings are rounded to the nearest win so if the total W-L doesn’t add up to 2430-2430 that’s why.

American League
TM W L RS RA Div WC1 WC2 PS% W+/-
Blue Jays 89 73 795 728 29.1% 9.9% 9.6% 48.5% 77-100
Rays 88 74 715 644 27.6% 9.5% 8.8% 45.9% 77-100
Yankees 85 77 774 745 18.6% 7.9% 8.2% 34.7% 73-96
Red Sox 82 80 819 803 15.4% 6.6% 8.2% 30.2% 70-93
Orioles 79 83 738 766 9.3% 4.5% 5.8% 19.6% 68-90
TM W L RS RA Div WC WC2 PS% W+/-
Tigers 89 73 797 714 46.4% 6.6% 6.8% 59.8% 77-100
Royals 81 81 716 721 19.3% 5.6% 6.5% 31.4% 70-92
Indians 80 82 741 744 18.7% 5.0% 6.2% 29.9% 69-91
White Sox 76 86 718 767 12.4% 4.0% 4.8% 21.2% 65-88
Twins 67 95 693 825 3.2% 0.9% 1.6% 5.6% 56-78
TM W L RS RA Div WC WC2 PS% W+/-
Angels 91 71 763 656 40.0% 12.3% 9.3% 61.7% 80-103
Rangers 88 74 795 727 30.1% 12.0% 10.0% 52.1% 77-100
Athletics 87 75 731 679 24.6% 12.1% 10.0% 46.6% 75-98
Mariners 73 89 660 722 4.7% 2.9% 3.8% 11.4% 61-84
Astros 60 102 649 866 0.5% 0.3% 0.7% 1.6% 49-72
National League
TM W L RS RA Div WC WC2 PS% W+/-
Nationals 90 72 690 598 44.5% 11.3% 8.3% 64.0% 79-102
Braves 88 74 673 622 32.3% 11.5% 9.7% 53.5% 77-99
Phillies 80 82 665 680 15.1% 7.2% 7.9% 30.1% 69-92
Mets 73 89 645 703 5.3% 3.1% 4.2% 12.6% 61-84
Marlins 69 93 624 731 2.8% 1.9% 2.5% 7.3% 57-80
TM W L RS RA Div WC WC2 PS% W+/-
Reds 89 73 741 662 41.0% 8.9% 7.9% 57.8% 78-101
Cardinals 85 77 686 655 26.8% 8.8% 7.8% 43.4% 73-96
Brewers 79 83 704 733 13.4% 5.5% 6.5% 25.3% 67-90
Pirates 78 84 665 691 11.6% 4.3% 5.6% 21.5% 66-89
Cubs 74 88 652 705 7.2% 3.3% 4.1% 14.6% 63-85
TM W L RS RA Div WC WC2 PS% W+/-
Dodgers 87 75 677 618 30.9% 9.4% 8.9% 49.2% 76-99
Giants 87 75 665 613 28.3% 9.1% 9.0% 46.4% 76-98
Diamondbacks 84 78 716 696 22.7% 8.1% 8.0% 38.8% 73-95
Padres 78 84 643 668 11.0% 4.4% 5.4% 20.8% 66-89
Rockies 74 88 775 847 7.2% 3.2% 4.2% 14.6% 63-85

W: Projected final 2013 wins
L: Projected final 2013 losses
RS: Projected final 2013 runs scored
RA: Projected final 2013 runs allowed
Div: Division win percentage
WC1: Wild card win percentage
WC2: Wild card win percentage
PS: Postseason percentage (Div + WC1 + WC2)
W+/-: Projected wins within one standard deviation

As noted earlier, this is NOT saying that you can win the NL West by winning 87 games.  It’s saying that the team that finished in first most frequently in that division averaged 87 wins over hundreds of thousands of seasons.  Here are the average win totals for each spot in each division.

Place ALE ALC ALW NLE NLC NLW
1 94 91 95 94 92 92
2 89 84 89 87 85 87
3 85 79 83 80 81 83
4 81 74 73 73 76 78
5 75 66 60 66 70 71
WC1 91 90
WC2 87 86

Here is how each division broke down in terms of percentages using the aforementioned pie charts.

In the AL East, we’ve got the mostly tightly bunched group of teams in baseball, with just 10 wins separating Toronto at the top and Baltimore at the bottom.  Toronto and Tampa Bay look like they’re neck and neck as of right now.  The Yankees are already ravaged by injuries and at this point it doesn’t seem like it would take a lot for them to end up having a losing season and even finish last.  Should they lose Robinson Cano or CC Sabathia for any significant amount of time that may be exactly what happens.  Boston has improved quite a bit from where they were at the end of last season, although they apparently still have a ways to go.  The projections are expecting a big regression from Baltimore, although they have enough talented young players with upside that they could beat their projections by quite a bit.
     

The AL Central basically looks like Detroit and everyone else.  Kansas City and Cleveland are jockeying behind the Tigers.  It’ll be interesting to see what the Indians get out of Scott Kazmir, who did not have a Steamer projection and projected pretty poorly in all the other systems.  He’s throwing harder than he was when last seen in the majors and could surprise some people.  For the Royals, it looks like Big Game James may not get into many big games this year, although stranger things have happened.  The White Sox are projected to fall off a bit from last season, and the Twins look like they aren’t going to be very good.

There’s a new floormat in the AL West, and it’s the Houston Astros.  Can they lose 100+ games for the third year in a row?  The projections think they can.  Houston projects to be so bad that they have essentially balanced out the league difference between the AL and NL.  Last year, the AL went 1150-1118 thanks to interleague play.  If you add Houston’s 55-107 to that you get a record of 1205-1225.  Los Anaheim looks like the favorite here and project to win more games than any other team in baseball, with Texas a strong second.  The Angels do have some concerns in their rotation, which could open the door for the Rangers.  Oakland projects to fall back a bit from last year, but still should be in contention.  Seattle still doesn’t look particularly good, although they should score some more runs this year, which is something.

The Nationals project as favorites in the NL East, especially now that the restrictions are off Stephen Strasburg.  The Braves aren’t quite at their level, but project to be pretty good as well.  The Phillies appear to be showing their age, and if Roy Halladay doesn’t bounce back they could be in trouble.  The Mets don’t look good to me, especially with Johan Santana looking iffy and the Marlins may be as bad as the Astros.  If Placido Polanco is hitting cleanup to ‘protect’ Giancarlo Stanton, it’s hard to see them winning 60 games.

In the Central, the Reds look like the clear favorite.  The Cardinals were closer before losing Chris Carpenter and Rafael Furcal, but they seem like the second best team in the division.  Pittsburgh and Milwaukee are neck and neck with each other and the Cubs look to be bringing up the rear.

In the West, the Dodgers are spending money like there’s no tomorrow but I’m not so sure they’re spending it all that well.  They project a hair better than San Francisco but given the margin of error inherent in projections there’s really no difference in their projections.  The Diamondbacks had a bizarre offseason and losing Adam Eaton for two months hurts, but they should be in the mix if a few things go their way.  The Padres look a bit better than I expected, although still not good and the Rockies stink.

Usually there’s a surprise team or two in here but this year nothing really stands out.  In general it seems that aside from a handful of really bad teams we’re seeing more parity.  Between that and the second wild card you can pretty much see any team in baseball sneaking into the postseason.  Except the Astros.

And there you have it.  The 2013 projection blowout.  Results are not guaranteed.

On an unrelated note, our sister site, the Replacement Level Red Sox launches today. Check them out at replacementlevelredsox.com.

--Posted at 6:59 am by SG / 45 Comments | - (0)




Monday, December 10, 2012

CAIRO 2013 v0.2’s Extremely Early and Completely Useless 2013 Projected MLB Standings

Since I was curious about how the big trade between Kansas City and Tampa Bay affected the AL East, I ran some projected standings based on rosters as of last night.  As the title says, this is extremely early and completely useless so think of it more as a goof than anything too serious.  So using CAIRO v0.2 and the depth charts from MLB Depth Charts and Rotochamp as a rough gauge of playing time, here’s how the 2013 MLB season looks as of December 10.

Update: CAIRO v0.5 is now available

Date 12/10/2012
Iterations 100000
American League
TM W L RS RA Div WC1 WC2 PS%
Rays 86 76 698 643 25.8% 8.4% 10.2% 44.4%
Blue Jays 86 76 789 741 25.3% 9.2% 8.2% 42.7%
Yankees 85 77 771 738 23.0% 8.6% 7.7% 39.3%
Red Sox 84 78 788 759 20.1% 7.7% 8.4% 36.2%
Orioles 73 89 718 780 5.8% 3.1% 5.0% 13.9%
TM W L RS RA Div WC WC2 PS%
Tigers 91 71 791 709 46.2% 7.3% 6.0% 59.5%
Royals 84 78 717 701 24.7% 6.4% 8.3% 39.4%
White Sox 80 82 725 755 18.2% 4.4% 6.5% 29.0%
Indians 73 89 692 768 7.3% 2.7% 4.0% 14.0%
Twins 65 97 696 854 3.7% 1.6% 1.6% 6.9%
TM W L RS RA Div WC WC2 PS%
Angels 95 67 726 616 43.4% 12.8% 9.3% 65.6%
Rangers 88 74 762 699 24.7% 12.1% 10.6% 47.5%
Athletics 88 74 712 653 25.2% 11.0% 8.6% 44.8%
Mariners 74 88 626 692 6.0% 4.3% 5.0% 15.3%
Astros 60 102 651 850 0.6% 0.4% 0.8% 1.8%
National League
TM W L RS RA Div WC WC2 PS%
Nationals 94 68 699 590 46.4% 9.9% 8.0% 64.2%
Braves 86 76 686 630 23.8% 11.2% 8.9% 43.9%
Phillies 82 80 666 657 18.0% 7.0% 7.9% 32.9%
Mets 75 87 665 715 8.3% 4.7% 5.3% 18.2%
Marlins 69 93 625 729 3.5% 2.0% 2.9% 8.4%
TM W L RS RA Div WC WC2 PS%
Reds 91 71 722 635 41.9% 7.9% 7.5% 57.3%
Cardinals 86 76 696 645 28.0% 7.9% 8.7% 44.6%
Brewers 78 84 711 742 12.7% 5.2% 6.5% 24.4%
Pirates 77 85 663 688 11.1% 5.5% 6.6% 23.1%
Cubs 71 91 635 721 6.3% 2.4% 3.5% 12.1%
TM W L RS RA Div WC WC2 PS%
Dodgers 90 72 677 587 35.0% 9.3% 9.0% 53.4%
Giants 87 75 663 598 27.6% 9.8% 8.2% 45.6%
Diamondbacks 81 81 692 678 15.9% 7.1% 7.1% 30.1%
Padres 81 81 659 654 15.9% 7.7% 7.6% 31.3%
Rockies 71 91 770 865 5.6% 2.4% 2.5% 10.5%

The Astros are going to make it awfully easy for the AL West teams to win the wild cards, aren’t they?

Did I mention that these are extremely early and completely useless?

--Posted at 8:50 am by SG / 60 Comments | - (0)




Thursday, October 11, 2012

2012 MLB Division Series Odds through Games of October 10

Team Div
NYA 81.3%
STL 76.8%
DET 64.1%
SFN 54.0%
CIN 46.0%
OAK 35.9%
WAS 23.2%
BAL 18.7%

Div: Probability of winning divisional series

--Posted at 8:09 am by SG / 73 Comments | - (0)




Wednesday, October 10, 2012

2012 MLB Division Series Odds through Games of October 9

Team Div
DET 86.0%
CIN 75.8%
NYA 64.0%
STL 52.7%
WAS 47.2%
BAL 35.9%
SFN 24.1%
OAK 13.9%

Div: Probability of winning divisional series

 

--Posted at 8:33 am by SG / 33 Comments | - (0)




Monday, October 8, 2012

2012 MLB Division Series Odds through Games of October 7

Team Assigned Win % Division %
DET.631 92.6%
CIN.558 87.5%
NYA.635 83.6%
WAS.617 63.8%
STL.568 36.2%
BAL.513 16.4%
SFN.539 12.5%
OAK.529 7.4%

Assigned Win %: Estimate of team strength using Oliver projections and depth charts for remaining games in series
Division %: Projected odds of advancing past the division series

--Posted at 8:13 am by SG / 34 Comments | - (0)




Friday, September 21, 2012

Yankees.com: Martin’s walk-off HR keeps Yanks alone in first

NEW YORK—As Russell Martin galloped down the third-base line, taking a moment to see how far he could possibly fling his batting helmet, the Yankees clustered at home plate to celebrate what most agreed was their biggest hit of the season.

The schedule is growing thin, the games are becoming more crucial, and the Yankees went home with exactly what they needed on this night. Martin’s 10th-inning blast was the game-winner, lifting New York to a 2-1 victory over the Athletics on Friday at Yankee Stadium.

“There’s pressure, but it’s fun; it’s a fun atmosphere,” Martin said. “There’s a lot of energy in the crowd, you can feel the weather change a little bit. Playoff weather is coming. I like it. I enjoy it. I’m ready for it.”

No kneeling tonight.

I didn’t see much of CC’s performance but it looks like he had a heck of a night.  Apparently, it’s too much to ask the Red Sox to play the Orioles hard this weekend.  I guess they’re saving themselves for the last series of the season in the Bronx.

--Posted at 11:11 pm by Jonathan / 20 Comments | - (0)



The Postseason Implications of this Series with Oakland

The Yankees’ second half slide really began when they got swept in Oakland in a four game series following a home sweep of Toronto.  Prior to that series, the Yankees had a 10 game lead in the division and were 57-34.  Since the opener of that series on July 19 they’ve gone 29-29 and lost nine games off their division lead.

The A’s and Orioles have 85 wins, and the Yankees have 86.  The other wild card contenders at this point have a pretty hard road ahead of them to catch any of the three.  The Angels are at 81 wins, the Rays are at 80, the Tigers are at 79 and Boston’s at 68.  But it’s certainly not impossible that things could change over the next week.

Here’s how the postseason odds for the AL look as of this morning.

TM W L Div WC1 WC2 PS%
Yankees 93.4 68.6 80.1% 10.3% 6.8% 97.1%
Orioles 91.2 70.8 19.6% 35.8% 33.4% 88.8%
Rays 86.5 75.5 0.2% 1.3% 6.0% 7.5%
Red Sox 73.0 89.0 0.0% - - -
Blue Jays 72.3 89.7 0.0% - - -
TM W L Div WC WC2 PS%
White Sox 88.2 73.9 72.2% 0.1% 0.8% 73.0%
Tigers 86.4 75.6 27.6% 0.1% 1.9% 29.6%
Royals 74.4 87.6 0.0% - - -
Twins 66.7 95.3 0.0% - - -
Indians 66.5 95.5 0.0% - - -
TM W L Div WC WC2 PS%
Rangers 96.1 65.9 90.9% 7.4% 1.2% 99.4%
Athletics 91.1 70.9 9.0% 43.0% 38.5% 90.5%
Angels 87.2 74.8 0.0% 1.8% 11.4% 13.2%
Mariners 74.9 87.1 0.0% - - -

W: Projected final 2012 wins
L: Projected final 2012 losses
Div: Division win percentage
WC1: Wild card win percentage
WC2: Wild card win percentage
PS: Postseason percentage (Div + WC1 + WC2)


Here are how they change based on the four possible outcomes of this series.

A’s 3-0 W L Div WC1 WC2 PS%
Yankees 89.9 72.1 58.2% 4.3% 22.6% 85.1%
Orioles 89.4 72.6 39.2% 5.8% 38.1% 83.1%
Rays 84.9 77.1 0.6% 0.2% 6.0% 6.8%
Red Sox 71.7 90.3 0.0% - - -
Blue Jays 71.1 90.9 0.0% - - -
TM W L Div WC WC2 PS%
White Sox 86.6 75.4 74.2% 0.1% 0.2% 74.5%
Tigers 84.8 77.2 23.8% 0.1% 2.2% 26.1%
Royals 73.1 88.9 0.0% - - -
Twins 65.6 96.4 0.0% - - -
Indians 65.2 96.8 0.0% - - -
TM W L Div WC WC2 PS%
Rangers 94.4 67.6 85.2% 12.8% 0.6% 98.6%
Athletics 91.2 70.8 12.8% 74.8% 16.1% 100.0%
Angels 85.8 76.2 0.0% - 12.5% 12.5%
Mariners 73.4 88.6 0.0% - - -
A’s 2-1 W L Div WC1 WC2 PS%
Yankees 92.1 69.9 70.9% 9.0% 14.5% 94.4%
Orioles 90.6 71.4 28.3% 18.9% 40.1% 87.3%
Rays 86.2 75.8 0.0% 0.1% 7.2% 7.4%
Red Sox 72.5 89.5 0.0% - - -
Blue Jays 71.8 90.2 0.0% - - -
TM W L Div WC WC2 PS%
White Sox 87.6 74.4 76.1% - - 76.1%
Tigers 85.6 76.4 23.1% - 1.8% 24.9%
Royals 74.0 88.0 0.0% - - -
Twins 66.4 95.6 0.0% - - -
Indians 66.1 95.9 0.0% - - -
TM W L Div WC WC2 PS%
Rangers 95.4 66.6 89.2% 10.0% - 99.1%
Athletics 91.6 70.4 10.0% 61.0% 26.1% 97.1%
Angels 86.7 75.3 0.0% 0.2% 9.9% 10.1%
Mariners 74.2 87.8 0.0% - - -
Yankees 2-1 W L Div WC1 WC2 PS%
Yankees 93.7 68.3 84.1% 10.2% 4.8% 99.1%
Orioles 91.1 70.9 15.5% 42.2% 34.7% 92.4%
Rays 86.3 75.7 0.0% 0.2% 4.0% 4.2%
Red Sox 72.8 89.2 0.0% - - -
Blue Jays 72.1 89.9 0.0% - - -
TM W L Div WC WC2 PS%
White Sox 87.8 74.2 75.3% 0.1% 0.4% 75.8%
Tigers 86.1 75.9 24.3% 0.1% 0.8% 25.2%
Royals 74.3 87.7 0.0% - - -
Twins 66.4 95.6 0.0% - - -
Indians 66.4 95.6 0.0% - - -
TM W L Div WC WC2 PS%
Rangers 95.8 66.2 95.4% 3.2% 0.6% 99.2%
Athletics 90.7 71.3 4.2% 41.3% 44.0% 89.5%
Angels 87.2 74.8 0.0% 2.2% 10.6% 12.9%
Mariners 74.6 87.4 0.0% - - -
Yankees 3-0 W L Div WC1 WC2 PS%
Yankees 94.5 67.5 92.6% 6.6% 0.2% 99.3%
Orioles 91.1 70.9 7.0% 58.8% 24.3% 90.1%
Rays 86.3 75.7 0.0% 1.6% 6.5% 8.1%
Red Sox 72.8 89.2 0.0% - - -
Blue Jays 72.1 89.9 0.0% - - -
TM W L Div WC WC2 PS%
White Sox 88.1 73.9 74.9% - 0.2% 75.1%
Tigers 86.5 75.5 24.7% 0.4% 1.5% 26.6%
Royals 74.2 87.8 0.0% - - -
Twins 66.4 95.6 0.0% - - -
Indians 66.3 95.7 0.0% - - -
TM W L Div WC WC2 PS%
Rangers 95.7 66.3 96.2% 2.8% 0.6% 99.6%
Athletics 89.9 72.1 3.2% 26.8% 53.3% 83.4%
Angels 87.1 74.9 0.2% 2.6% 13.4% 16.2%
Mariners 74.6 87.4 0.0% - - -

With Baltimore at Fenway for three games, they have a very good chance at solidifying their postseason odds since they’re guaranteed to gain ground on one of the A’s or Yankees if they can win.  Since Boston is really not even an MLB team at this point I’d be shocked by anything less than sweep.  In fact, if it were possible I’d say the Orioles would pick up four wins in three games against Boston.

But the Yankees can’t worry about that.  They just need to win.  Hopefully they can take two of three.

--Posted at 10:17 am by SG / 17 Comments | - (0)




Thursday, September 6, 2012

The Postseason Implications of this series with Baltimore

I have to admit that I really have no idea how good the 2012 Orioles are.  Much has been made of the fact that they’ve been outscored this season, but that ignores the fact that their current roster is not the same as the roster they had earlier in the year.  Team talent is not static, and any analysis that assumes that what the Orioles have done all season long is the best way to assess how good they are at this very moment is simplistic and lazy. 

That being said, I’m kind of lazy myself and don’t feel like revising and re-running all their projections right now.  But anyone that wants to discuss how good/bad the Orioles really are should at least acknowledge that they’re no longer giving starts to Tommy Hunter, Brian Matusz and Jake Arrieta, and what they did in the rotation in the first half of the year should have little bearing on how good the Orioles will be over the rest of the season.  The fact is, they’re right in the heart of the postseason race and anything can happen from here on out.  They very well could win the World Series if everything falls into place for them.

I also am fairly uncertain about how good the Yankees are right now.  I’m reasonably sure they’re not the 94 win team they projected to be at the start of the year when they had Mo and Brett Gardner and Michael Pineda, and that they probably won’t be that good through the end of the year given the injuries they’ve been dealing with and the apparent loss of Curtis Granderson and Andruw Jones’s ability to hit a baseball.  Jones should be less of a concern than Granderson, but Joe Girardi’s stubborn insistence on playing him against every LHP the Yankees face makes him a lot more important to this team than he ought to be.  Especially when teams are champing at the bit to throw every LHP they can find against the Yankees, which is logical. 

We also don’t know if/when they’ll get Mark Teixeira, Ivan Nova and Andy Pettitte back and what they’ll do if/when they do come back.  All three have the potential to significantly improve this team, but all three have a very realistic chance of not being able to return and be effective.  I don’t think that’s pessimistic, I just think it’s realistic.  If the Yankees can get all three back, they improve the lineup and the rotation and the bullpen and start to look like one of the better teams in baseball, if not the best, again.

Rather than using projections and YTD performance for this run through the postseason implications of this series, I’m going to just assume that the Yankees and Orioles are roughly .500 teams.  So consider this more theoretical than the typical postseason odds I run.

In that case, here’s how the postseason probabilites for the AL look as of this morning. 

TM W L RS RA Div WC1 WC2 PS%
Yankees 90 72 782 677 45.0% 13.6% 15.5% 74.1%
Rays 89 73 694 603 29.2% 12.9% 18.0% 60.2%
Orioles 89 73 699 737 25.8% 12.5% 14.8% 53.0%
Red Sox 75 87 781 775 0.0% - - -
Blue Jays 73 89 732 783 0.0% - - -
TM W L RS RA Div WC WC2 PS%
White Sox 88 74 754 703 61.7% 1.8% 4.2% 67.6%
Tigers 87 75 742 692 38.3% 2.3% 6.9% 47.5%
Royals 73 89 681 745 0.0% - - -
Indians 68 94 668 827 0.0% - - -
Twins 68 94 720 835 0.0% - - -
TM W L RS RA Div WC WC2 PS%
Rangers 96 66 834 698 94.8% 3.8% 0.6% 99.2%
Athletics 89 73 691 631 3.6% 37.6% 21.6% 62.8%
Angels 87 75 772 699 1.7% 15.4% 18.6% 35.7%
Mariners 78 84 632 651 0.0% - - -

W: Projected final 2011 wins
L: Projected final 2011 losses
RS: Projected final 2011 runs scored
RA: Projected final 2011 runs allowed
Div: Division win percentage
WC1: Wild card win percentage
WC2: Wild card win percentage
PS: Postseason percentage (Div + WC1 + WC2)

And here’s how they look for each of the possible outcomes of this series.

Orioles 4-0 W L RS RA Div WC1 WC2 PS%
Orioles 90 72 699 737 55.6% 11.6% 12.6% 79.8%
Rays 88 74 694 603 27.8% 11.6% 16.3% 55.7%
Yankees 88 74 782 677 15.8% 14.7% 19.1% 49.6%
Red Sox 74 88 781 775 0.0% - - -
Blue Jays 73 89 732 783 0.0% - - -
TM W L RS RA Div WC WC2 PS%
White Sox 88 74 754 703 64.0% 2.0% 3.6% 69.5%
Tigers 86 76 742 692 35.3% 3.0% 5.4% 43.7%
Royals 73 89 681 745 0.0% - - -
Indians 68 94 668 827 0.0% - - -
Twins 67 95 720 835 0.0% - - -
TM W L RS RA Div WC WC2 PS%
Rangers 95 67 834 698 93.9% 4.4% 0.9% 99.2%
Athletics 88 74 691 631 3.9% 35.3% 22.3% 61.6%
Angels 87 75 772 699 1.4% 16.6% 19.2% 37.1%
Mariners 77 85 632 651 0.0% - - -
Orioles 3-1 W L RS RA Div WC1 WC2 PS%
Orioles 89 73 699 737 39.0% 14.6% 15.7% 69.3%
Yankees 89 73 782 677 30.2% 15.7% 16.5% 62.5%
Rays 89 73 694 603 30.6% 13.4% 15.9% 59.9%
Red Sox 75 87 781 775 0.0% - - -
Blue Jays 73 89 732 783 0.0% - - -
TM W L RS RA Div WC WC2 PS%
White Sox 88 74 754 703 64.1% 2.3% 4.2% 70.5%
Tigers 87 75 742 692 35.7% 2.6% 4.9% 43.2%
Royals 73 89 681 745 0.0% - - -
Indians 68 94 668 827 0.0% - - -
Twins 67 95 720 835 0.0% - - -
TM W L RS RA Div WC WC2 PS%
Rangers 96 66 834 698 94.5% 3.9% 1.3% 99.6%
Athletics 89 73 691 631 4.1% 33.1% 23.3% 60.5%
Angels 87 75 772 699 1.3% 14.3% 18.1% 33.7%
Mariners 78 84 632 651 0.0% - - -
2-2 W L RS RA Div WC1 WC2 PS%
Yankees 90 72 782 677 47.3% 13.7% 13.6% 74.6%
Rays 89 73 694 603 30.1% 12.7% 16.1% 58.8%
Orioles 89 73 699 737 22.6% 11.3% 20.9% 54.8%
Red Sox 75 87 781 775 0.0% - - -
Blue Jays 73 89 732 783 0.0% - - -
TM W L RS RA Div WC WC2 PS%
White Sox 89 73 754 703 60.9% 2.6% 4.0% 67.5%
Tigers 87 75 742 692 39.1% 2.4% 5.9% 47.4%
Royals 73 89 681 745 0.0% - - -
Indians 68 94 668 827 0.0% - - -
Twins 68 94 720 835 0.0% - - -
TM W L RS RA Div WC WC2 PS%
Rangers 96 66 834 698 94.7% 4.4% 0.2% 99.3%
Athletics 89 73 691 631 4.2% 35.6% 21.5% 61.3%
Angels 87 75 772 699 1.2% 17.2% 18.0% 36.4%
Mariners 78 84 632 651 0.0% - - -
Yankees 3-1 W L RS RA Div WC1 WC2 PS%
Yankees 91 71 782 677 67.5% 10.5% 8.7% 86.7%
Rays 89 73 694 603 22.8% 16.8% 17.7% 57.3%
Orioles 88 74 699 737 9.7% 11.3% 18.5% 39.4%
Red Sox 75 87 781 775 0.0% - - -
Blue Jays 73 89 732 783 0.0% - - -
TM W L RS RA Div WC WC2 PS%
White Sox 88 74 754 703 63.4% 2.0% 2.8% 68.2%
Tigers 87 75 742 692 36.6% 3.0% 5.5% 45.1%
Royals 73 89 681 745 0.0% - - -
Indians 68 94 668 827 0.0% - - -
Twins 68 94 720 835 0.0% - - -
TM W L RS RA Div WC WC2 PS%
Rangers 96 66 834 698 94.2% 4.2% 0.9% 99.2%
Athletics 89 73 691 631 4.3% 36.5% 24.5% 65.3%
Angels 87 75 772 699 1.6% 15.8% 21.5% 38.8%
Mariners 78 84 632 651 0.0% - - -
Yankees 4-0 W L RS RA Div WC1 WC2 PS%
Yankees 92 70 782 677 79.6% 10.5% 6.1% 96.3%
Rays 89 73 694 603 17.9% 22.0% 23.6% 63.5%
Orioles 86 76 699 737 2.3% 8.5% 13.6% 24.4%
Red Sox 75 87 781 775 0.0% - - -
Blue Jays 73 89 732 783 0.0% - - -
TM W L RS RA Div WC WC2 PS%
White Sox 88 74 754 703 61.1% 3.0% 4.0% 68.1%
Tigers 87 75 742 692 38.7% 3.1% 6.5% 48.3%
Royals 73 89 681 745 0.0% - - -
Indians 68 94 668 827 0.0% - - -
Twins 67 95 720 835 0.0% - - -
TM W L RS RA Div WC WC2 PS%
Rangers 96 66 834 698 95.2% 3.7% 0.9% 99.7%
Athletics 89 73 691 631 3.6% 35.1% 24.5% 63.2%
Angels 87 75 772 699 1.1% 13.8% 20.7% 35.6%
Mariners 78 84 632 651 0.0% - - -

Remember that I’m assuming the Yankees are Orioles are .500 teams.  If you think that’s too pessimistic for the Yankees and too optimistic for the Orioles adjust accordingly.

The Yankees, Orioles, Rays, White Sox, Tigers, A’s and Angels are all bunched within four games of each other, so it’s likely going to be a dogfight to qualify for the postseason.  Hopefully the Yankees are better than a .500 team and can pull away from the pack a bit. 

Getting back to Yanks vs. O’s, your pitching matchups for the series are:

Thursday, September 6, 2012
David Phelps, RHP (3-4, 3.13 ERA) vs. Jason Hammel, RHP (8-6, 3.54 ERA)

Phelps hasn’t been great over his last couple of starts, including his last start against Baltimore where he walked 6 in 4.2 innings.  Hammel was the Orioles’ best starter through June 22 with a 2.61 ERA, but he lost effectiveness over his last four starts, probably at least partially due to a knee injury that ended up requiring surgery that put him on the DL on July 13.  He’s making his first start since returning from the DL and may be rusty.  Let’s hope so.

Friday, September 7, 2012
Phil Hughes, RHP (13-12, 4.18 ERA) vs. Wei-Yin Chen, LHP (12-8, 3.79 ERA)

Hughes was cruising through his last start against Baltimore through five innings, but the wheels came off in the sixth.  Maybe if he walks Mark Reynolds every time he can keep the Yankees in this game.  Wei-Yin Chen was dominant against the Yankees in his last start, but his bullpen and defense ended up making his final line look less than great in a game the Yankees stole thanks to a J.J. Hardy error.

Saturday, September 8, 2012
CC Sabathia, LHP (13-4, 3.42 ERA) vs. Joe Saunders, LHP (1-1, 4.63 ERA)

Two finesse lefties face off in the third game of this series.  The Yankees really needed a big game from CC in his last start against Tampa, but didn’t get it.  I’d like to think they’ll get it here but CC hasn’t looked like CC this year and while his peripheral stats are pretty similar to what they’ve been throughout his Yankee career, his fastball velocity is still down almost 2 mph and I think it’s having a significant impact on his effectiveness.  Saunders is back from Little League, and has made one crappy start and one pretty good one.  As a lefty, he’s sure to give the Yankees fits.

Sunday, September 9, 2012
Freddy Garcia, RHP (7-6, 5.09 ERA) vs. Zach Britton, LHP (5-1, 4.15 ERA)

Garcia’s got a 7.53 ERA over his last three starts while averaging less than 5 innings per game.  He’s given up 12 runs over those three games.  Zach Britton has a 0.94 ERA over his last four starts, and has struck out 29 hitters in 28.2 innings while going 4-0.  Oh, and he’s a lefty. 

I hate these pitching matchups.  It will be a monumental task for the Yankees to win this series.  I suppose Phelps vs. Hammel might be okay if Phelps rebounds a bit and Hammel is rusty.  I’d be shocked if Hughes outpitched Chen.  CC should be able to beat Saunders, but WTF knows?  And that last game looks like a disaster.

I think we’re looking at a split here at best, and wouldn’t be surprised to see the Orioles taking 3 out of 4.  Even if that happens, that just means the Yankees will be down by a game in the division as they head to Boston for three games while the Orioles get to host Tampa Bay for three.  Unfortunately, this will probably be Boston’s version of the postseason.  Fortunately, Boston’s probably not all that good right now and it may not matter.

I realize we feel like the Yankees should be in the postseason every year given their payroll, but it’s kind of fun to have meaningful games in September, isn’t it?  Living and dying on every pitch for a month is an emotional roller coaster but that’s part of the entertainment factor of baseball, and one we don’t necessarily get enough of as Yankee fans who usually are watching their team set up their postseason rotation over the last few weeks of the year.  It’s like an extended version of the postseason.

It also might be a good reminder that just getting into the postseason is a pretty good accomplishment in and of itself and the season’s not a failure if the Yankees don’t win the World Series.  Despite what Randy Levine will surely say at the end of the year if they don’t.

--Posted at 8:19 am by SG / 35 Comments | - (0)




Tuesday, July 17, 2012

CBS NY: Yankees’ Gardner Suffers Third Setback; CC Set To Return

NEW YORK (WFAN/AP) — CC Sabathia found the whole experience of his first trip to the disabled list with the Yankees a little “embarrassing,” and he is looking forward to making his first start in more than two weeks.

Brett Gardner might have to wait even longer to return from an elbow injury.

Sabathia will make his first start since June 24 on Tuesday night against Toronto. Out with a groin strain, he says he’s feeling well enough to pitch as long as he needs to and thinks the time off might have been more beneficial to his left arm than the groin.
...
Gardner was sore a day after he had four at-bats in a three-inning simulated game and was being kept off the field Monday. The speedy outfielder has already had two setbacks in his recovery from a strained elbow that has sidelined him since April 18.

At this point, Gardner may do the unthinkable and break Damaso Marte’s record for setbacks in a season.  Are we comfortable with a platoon of Andruw Jones/Raul Ibanez and DeWayne Wise on defense for the rest of the year?  Jones has a .339 wOBA vs. RHP this year and Ibanez has a .338 wOBA vs. LHP.  The average AL LF has a wOBA of .331, so assuming that Jones and Ibanez can keep up what they’ve done the Yankees would be slightly better than average on offense although they probably give away some of that on defense.  They can use Wise in spots where defense can be leveraged more optimally I guess.

It seems like a seller’s market right now with so many teams still having a reasonable chance at the second wild card, so I don’t know who’s available and what the price will be.  Here are how I have each teams’ odds of qualifying for the postseason as of this morning.

TM PS%
Yankees 93.2%
Rangers 92.2%
Nationals 83.0%
Reds 78.7%
Braves 71.5%
Giants 61.8%
White Sox 60.7%
Angels 59.3%
Cardinals 58.8%
Pirates 46.6%
Tigers 45.8%
Red Sox 43.2%
Dodgers 32.9%
Rays 32.0%
Indians 27.9%
Diamondbacks 25.0%
Mets 20.2%
Athletics 19.2%
Blue Jays 17.4%
Brewers 11.5%
Orioles 6.3%
Marlins 4.6%
Phillies 4.1%
Royals 1.8%
Rockies 1.0%
Mariners 0.8%
Twins 0.3%
Cubs 0.3%
Padres 0.3%
Astros -

I’d probably say any team under 20% should be a seller, but they may feel differently.  So who may be available from those teams, and what would they cost?

--Posted at 8:24 am by SG / 31 Comments | - (0)




Monday, June 4, 2012

2012 MLB Projected Standings and Postseason Odds through June 3

It’s been a while since I last ran these, so here’s how things look as of this morning.  Team projections are based about 2/3 on their average pre-season projection from here and 1/3 on YTD performance in component runs scored and allowed, with some adjustments for roster changes and injuries.

Date 6/4/2012
Iterations 1000000
American League
TM W L RS RA Div WC1 WC2 PS% W+/- RS+/- RA+/-
Yankees 90 72 811 705 35.5% 16.8% 13.6% 65.9% -4.6 -25 -7
Rays 89 73 740 667 30.4% 18.0% 14.1% 62.5% 0.0 -25 -16
Red Sox 86 76 836 750 21.2% 15.1% 14.2% 50.4% -4.1 7 16
Blue Jays 82 80 776 755 9.1% 8.5% 10.9% 28.5% 0.4 2 -20
Orioles 78 84 711 782 3.8% 4.6% 6.9% 15.3% 7.9 -1 -37
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
White Sox 85 77 731 735 43.4% 4.1% 5.5% 53.0% 9.0 24 -37
Indians 81 81 749 763 24.3% 3.6% 5.4% 33.3% -0.9 -18 11
Tigers 81 81 756 738 23.5% 3.1% 5.1% 31.7% -4.7 -28 2
Royals 74 88 685 747 7.6% 1.0% 2.1% 10.6% -0.5 -20 -18
Twins 66 96 701 837 1.3% 0.1% 0.3% 1.7% -5.6 -29 15
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
Rangers 97 65 840 690 80.3% 6.5% 4.0% 90.8% 5.7 33 -12
Angels 85 77 700 639 16.8% 15.2% 12.6% 44.7% -5.0 -42 -22
Mariners 74 88 680 721 1.9% 2.4% 3.8% 8.1% -0.2 -2 -20
Athletics 71 91 645 713 1.0% 0.8% 1.6% 3.5% -5.0 -62 -43
National League
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
Nationals 88 74 659 614 29.3% 12.0% 10.8% 52.1% 3.8 -24 -42
Braves 87 75 730 681 25.0% 11.2% 10.7% 47.0% -0.6 16 15
Marlins 85 77 689 667 19.8% 10.2% 10.3% 40.3% 1.6 -18 -14
Phillies 85 77 693 640 18.4% 10.4% 10.5% 39.3% -4.2 -5 11
Mets 80 82 694 747 7.6% 5.2% 6.8% 19.6% 6.5 11 -6
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
Reds 91 71 701 643 50.0% 11.7% 8.1% 69.8% 3.8 -14 -17
Cardinals 89 73 758 676 35.7% 13.0% 9.7% 58.4% 2.0 27 -2
Brewers 80 82 701 699 8.3% 4.8% 6.0% 19.1% -4.7 2 34
Pirates 77 85 611 693 4.9% 2.9% 4.3% 12.0% 5.3 -57 -59
Astros 69 93 630 745 0.8% 0.4% 0.8% 2.0% 5.7 25 -11
Cubs 65 97 630 744 0.3% 0.1% 0.3% 0.7% -6.1 -26 -6
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
Giants 87 75 660 638 39.4% 6.1% 6.4% 51.8% 2.5 -12 -10
Dodgers 87 75 659 659 38.3% 6.2% 6.8% 51.3% 11.6 18 -31
Diamondbacks 80 82 681 683 13.9% 3.5% 4.9% 22.4% -3.7 -12 10
Rockies 77 85 784 782 7.9% 2.2% 3.5% 13.6% -5.5 37 52
Padres 65 97 604 694 0.5% 0.1% 0.2% 0.7% -10.6 -43 5

W: Projected final 2012 wins
L: Projected final 2012 losses
RS: Projected final 2012 runs scored
RA: Projected final 2012 runs allowed
Div: Division win percentage
WC1: Wild card win percentage
WC2: Wild card win percentage
PS: Postseason percentage (Div + WC1 + WC2)
W+/-: 2012 revised projected wins minus 2012 pre-season projected wins
RS+/-: 2012 revised projected runs scored minus 2012 pre-season projected runs scored (positive means they are projected to score more)
RA+/-: 2012 revised projected runs allowed minus 2012 pre-season projected runs allowed (negative means they are projected to allow fewer)

The Yankees have regained their rightful place at the top of the division, although they can lose that tomorrow pretty easily.  They’re projecting to end the year almost five wins worse than they originally projected to, but at least so far no one aside from Texas in the AL looks like they’re likely to be much better.

The biggest surprise for me here is the White Sox, who are nine games ahead of their pre-season projections and now have a greater than 50% chance at their division.  There is little evidence of luck in their component stats, so they haven’t gotten lucky in terms of wins vs. actual performance so far this year.  Whether it will continue is the question, but no one else in their division looks all that great so why not? 

I am getting way too much schadenfreude out of the Phillies now projecting to fourth and Cliff Lee having 0 wins despite a 3.00 ERA.  Good choice Cliff!  THe Nationals now hold a slight edge over the Braves in a pretty balanced division from top to bottom.

The Reds have passed St. Louis in the NL Central, which currently looks like a two team race.  The Cubs and Padres are probably duking it out for worst team in baseball, which should please Twins and Astros fans.

The Dodgers are still the biggest overall gainer vs. pre-season projections although now it appears they’ll be neck and neck with San Francisco for the NL West. 

There are still four months left, so a lot of this can/will change.  So consider it more of a checkpoint than a prediction.

--Posted at 7:29 am by SG / 47 Comments | - (0)




Wednesday, April 25, 2012

2012 MLB Starting Pitching Through April 24

TeamIPTBFRAERAFIPxFIPBB/BFK/BF
Nationals104.74012.151.722.032.855.5%24.2%
Cardinals112.04392.732.573.063.425.7%17.8%
Rangers120.74972.832.763.253.907.6%19.1%
Pirates86.73543.012.83.103.867.3%14.7%
Phillies117.34733.142.843.173.205.3%20.1%
White Sox110.74423.173.093.423.637.9%23.8%
Athletics122.04953.322.953.634.196.1%13.3%
Marlins100.34143.503.413.303.516.5%18.4%
Giants107.74393.593.513.663.806.8%19.6%
Dodgers104.74353.613.013.633.809.4%21.8%
Rays107.34533.773.444.164.319.9%16.1%
Blue Jays109.74434.023.785.454.329.3%13.5%
Tigers95.34064.253.873.293.436.2%21.4%
Reds106.04484.423.993.924.236.5%14.3%
Angels106.04404.504.334.243.405.9%20.2%
Mariners107.74544.514.433.623.885.9%18.3%
Mets96.34184.583.923.623.257.7%20.8%
Indians84.03674.614.184.194.319.0%13.9%
Astros108.34664.654.244.144.028.2%16.7%
Diamondbacks108.04564.754.334.173.687.5%18.4%
Cubs106.04554.754.253.423.638.8%21.8%
Braves101.74304.784.163.803.999.1%19.3%
Brewers102.74414.914.823.913.607.0%21.8%
Padres104.04454.934.153.923.8511.0%19.8%
Orioles100.34335.024.224.334.159.5%18.7%
Royals88.03865.324.814.114.4911.7%16.8%
Rockies88.33905.404.894.964.839.5%12.6%
Red Sox94.34135.725.634.924.229.9%17.9%
Yankees96.34276.175.514.353.446.1%21.1%
Twins95.04237.016.735.504.386.9%13.0%

FIP: Fielding-independent pitching
xFIP: Expected fielding-independent pitching

Twins pitching vs. the Yankees: 2-2, 6.09 RA
Twins pitching vs. the rest of the league: 3-11, 5.88 RA

Remember how the Yankees’ starting pitching was supposed to be a strength?  Now they’re hoping a 40 year old who hasn’t pitched in a year can ride in and save the day.

CC should be fine.  I think Nova’s a good bet for continued success thanks to the big improvement in his peripherals.  Whether that makes him a 2 or a 3 I don’t know, but it’s probably safer to think he’s a 3.  Kuroda will also be ok I think, but I don’t think he’s a 2 in the AL.  It’d be nice if Phil Hughes wasn’t awful, because with Michael Pineda looking less and less likely to pitch this year Andy Pettitte could in theory fill one hole between Hughes and Freddy Garcia, but he can’t fill two.  My guess is Garcia’s start on Saturday will be his last for this turn in the rotation.

Despite what they’ve shown to date I’d bet a reasonable amount of money the Yankees will not remain the second worst starting rotation in MLB by the end of the year.  I think they have a chance to crack the top 20.

--Posted at 9:51 am by SG / 21 Comments | - (0)




Tuesday, April 24, 2012

2012 MLB Offenses through April 23

TmR/GBR/G
NYY6.066.18
TEX5.765.83
ATL5.474.71
CLE5.295.08
TOR5.124.65
BOS5.075.18
STL4.945.15
COL4.804.91
TBR4.754.57
HOU4.474.33
CHW4.444.45
SFG4.444.49
LAD4.414.34
DET4.383.85
ARI4.294.22
MIL4.294.14
BAL4.254.27
LgAvg4.204.24
LAA4.194.02
MIA3.804.01
MIN3.714.04
CHC3.653.01
WSN3.623.87
KCR3.564.20
SDP3.533.41
SEA3.532.96
NYM3.504.12
CIN3.313.36
OAK2.893.09
PHI2.823.13
PIT2.001.87

R/G: Runs scored per game
BR/G: Linear weights batting runs per game

Yes, I realize posting this means the Yankees will not score for the next week.

 

--Posted at 7:52 am by SG / 38 Comments | - (0)




Sunday, April 22, 2012

How have the first two weeks of the 2012 MLB season changed team projections?

We’re roughly about 10% of the way throught the 2012 regular season, which is a pretty small sample size to make sweeping observations about how good or bad teams are.  That doesn’t mean that what’s happened to this point isn’t important, because it is.  I wanted to see what teams have seen the biggest shifts in their outlooks based on how they projected coming into the year compared what they have done since.

The way I looked at this involves three basic steps.

1) Get 2012 projections.  In this case I’m using the average of the 2012 MLB projection blowout that I ran at the beginning of April.
2) Estimate revised team strength.  For now, this is just a basic weighted average of the team’s projections heading into the year and their Pythagenpat performance to this point.  I’m not making any adjustments for injuries/roster changes/etc., yet,  although as we get deeper into the season I’ll probably do that.
3) Run the rest of the 2012 MLB season through my Monte Carlo simulator and see what happens.  This includes a variable that alters team strength in each iteration to account for things that projections can’t account for.

Here’s what it says.

Date 4/22/2012
Iterations 100000
American League
TM W L RS RA Div WC1 WC2 PS% W+/- RS+/- RA+/-
Yankees 94 68 848 718 49.0% 14.1% 24.0% 87.1% -0.8 12 7
Rays 87 75 764 695 23.9% 15.0% 34.6% 73.5% -2.0 -1 12
Red Sox 83 79 828 765 13.9% 11.2% 28.1% 53.1% -7.6 -2 32
Blue Jays 81 81 780 775 11.6% 7.8% 21.4% 40.9% -0.5 6 0
Orioles 70 92 712 812 1.6% 1.9% 6.2% 9.7% 0.1 -1 -6
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
Tigers 88 74 780 730 46.6% 6.1% 17.7% 70.4% 2.9 -4 -6
Indians 86 76 779 758 33.4% 8.2% 22.3% 63.9% 3.6 12 7
White Sox 78 84 706 755 11.2% 4.4% 12.9% 28.5% 1.6 -1 -18
Royals 70 92 697 771 4.5% 0.8% 5.6% 10.9% -4.8 -8 6
Twins 70 92 720 824 4.2% 0.9% 3.7% 8.8% -1.6 -11 3
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
Rangers 99 63 822 679 78.2% 7.4% 8.0% 93.6% 8.4 15 -24
Angels 85 77 738 667 17.0% 16.4% 28.9% 62.3% -5.1 -3 6
Mariners 73 89 672 734 2.8% 3.2% 7.8% 13.8% -1.5 -10 -7
Athletics 72 90 687 739 2.0% 2.8% 9.0% 13.8% -4.1 -20 -17
National League
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
Braves 90 72 734 664 32.5% 11.3% 23.7% 67.5% 2.3 20 -2
Phillies 88 74 677 611 25.9% 12.4% 21.6% 59.9% -1.4 -21 -17
Nationals 88 74 674 639 27.5% 10.4% 24.4% 62.3% 3.8 -8 -17
Marlins 82 80 699 672 11.3% 8.4% 18.2% 37.9% -1.8 -8 -9
Mets 74 88 677 749 2.8% 3.0% 8.5% 14.3% 0.2 -6 -3
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
Cardinals 94 68 740 662 53.9% 10.5% 16.8% 81.1% 7.2 9 -17
Brewers 86 76 700 677 21.2% 9.5% 19.0% 49.7% 1.2 1 13
Reds 84 78 699 665 18.7% 9.6% 21.5% 49.7% -2.9 -16 5
Pirates 73 89 639 726 3.3% 1.8% 6.2% 11.3% 1.5 -29 -26
Cubs 68 94 652 757 1.8% 1.6% 2.8% 6.2% -3.2 -4 7
Astros 66 96 607 747 1.2% 0.3% 1.2% 2.7% 1.9 3 -8
TM W L RS RA Div WC WC2 PS% W+/- RS+/- RA+/-
Giants 85 77 672 649 29.6% 5.3% 14.9% 49.8% 0.6 0 2
Dodgers 83 79 649 674 22.7% 5.3% 11.1% 39.1% 8.1 8 -17
Diamondbacks 83 79 687 677 22.8% 4.3% 14.1% 41.2% -1.3 -6 3
Rockies 81 81 751 744 20.1% 4.9% 12.6% 37.6% -1.2 3 13
Padres 72 90 638 690 4.8% 1.4% 5.1% 11.3% -3.5 -9 2

W: Projected final 2011 wins
L: Projected final 2011 losses
RS: Projected final 2011 runs scored
RA: Projected final 2011 runs allowed
Div: Division win percentage
WC1: Wild card win percentage
WC2: Wild card win percentage
PS: Postseason percentage (Div + WC1 + WC2)
W+/-: 2012 revised projected wins minus 2012 pre-season projected wins
RS+/-: 2012 revised projected runs scored minus 2012 pre-season projected runs scored (positive means they are projected to score more)
RA+/-: 2012 revised projected runs allowed minus 2012 pre-season projected runs allowed (negative means they are projected to allow fewer)

Good thing for Cliff Lee he signed with the young upstart Phillies instead of the old decrepit Yankees.  And remember how the Rangers and Angels looked to be neck and neck heading into the year?  Yeah.  The Dodgers seem to have snuck their way into the division race now, but other than that the division standings look pretty similar to how they did entering the season.

And here’s a chart that shows the changes in revised team wins projections for each team.

TM W+/-
Rangers 8.4
Dodgers 8.1
Cardinals 7.2
Nationals 3.8
Indians 3.6
Tigers 2.9
Braves 2.3
Astros 1.9
White Sox 1.6
Pirates 1.5
Brewers 1.2
Giants 0.6
Mets 0.2
Orioles 0.1
Blue Jays -0.5
Yankees -0.8
Rockies -1.2
Diamondbacks -1.3
Phillies -1.4
Mariners -1.5
Twins -1.6
Marlins -1.8
Rays -2.0
Reds -2.9
Cubs -3.2
Padres -3.5
Athletics -4.1
Royals -4.8
Angels -5.1
Red Sox -7.6

The Rangers have been destroying the competition and look like they’re probably the best team in baseball.  The Dodgers and Cardinals are the biggest positive surprises in the National League so far.  The Angels are the biggest disappointment in the AL.

But the Red Sox have to be the most pleasant surprise in baseball for me.

--Posted at 9:17 am by SG / 62 Comments | - (0)




Tuesday, April 3, 2012

CAIRO 2012 v1.0 and Final Pre-season MLB Standings Projection

I’ve uploaded the final pre-season 2012 CAIRO projections and projected standings.  They can be downloaded here.

cairo_2012_v1.0.zip

Yeah, I know Opening Day was technically last week.  Sue me.

Here are the standings and of course, the pie charts.  I should be posting more projected standings from other systems later today, so I’ll save the disclaimers and explanations for after that’s all done.

Div Team W L RF RA Div WC 1 WC 2 PS% W 1 Std
AL East NYA 96 66 848 713 52.8% 19.6% 11.1% 83.5% 86 - 106
AL East BOS 91 71 857 751 23.7% 21.0% 16.1% 60.8% 81 - 101
AL East TAM 91 71 765 667 22.4% 25.7% 14.9% 63.0% 81 - 101
AL East TOR 79 83 771 793 0.8% 2.4% 3.1% 6.2% 69 - 89
AL East BAL 70 92 736 838 0.4% 0.1% 0.5% 1.0% 60 - 80
Div Team W L RF RA Div WC 1 WC 2 PS% W 1 Std
AL Central DET 87 75 803 741 55.2% 1.3% 10.3% 66.8% 77 - 97
AL Central CLE 84 78 759 721 36.4% 2.4% 9.3% 48.0% 74 - 94
AL Central CHA 74 88 699 806 3.0% 0.2% 0.8% 4.0% 64 - 84
AL Central KC 73 89 682 754 3.6% 0.2% 0.8% 4.6% 63 - 83
AL Central MIN 71 91 725 815 1.8% 0.0% 0.3% 2.1% 61 - 81
Div Team W L RF RA Div WC 1 WC 2 PS% W 1 Std
AL West TEX 93 69 809 685 54.2% 12.7% 17.3% 84.1% 83 - 103
AL West LAA 92 70 739 640 44.7% 14.3% 14.6% 73.6% 82 - 102
AL West OAK 74 88 685 753 0.5% 0.3% 0.9% 1.7% 64 - 84
AL West SEA 73 89 669 742 0.6% 0.0% 0.6% 1.2% 63 - 83
AL WC1 93
AL WC2 90
Div Team W L RF RA Div WC 1 WC 2 PS% W 1 Std
NL East PHI 91 71 690 610 51.0% 15.1% 9.0% 75.0% 81 - 101
NL East ATL 86 76 705 664 20.5% 16.4% 10.2% 47.1% 76 - 96
NL East WAS 85 77 669 632 17.7% 12.8% 9.7% 40.1% 75 - 95
NL East FLA 83 79 710 694 10.3% 8.6% 7.0% 25.9% 73 - 93
NL East NYN 74 88 665 737 0.7% 0.8% 0.8% 2.2% 64 - 84
Div Team W L RF RA Div WC 1 WC 2 PS% W 1 Std
NL Central STL 89 73 728 654 47.2% 11.1% 9.4% 67.7% 79 - 99
NL Central MIL 86 76 695 646 29.2% 11.6% 11.8% 52.6% 76 - 96
NL Central CIN 85 77 707 670 22.7% 10.8% 11.2% 44.8% 75 - 95
NL Central PIT 71 91 653 743 0.6% 0.3% 1.0% 1.9% 61 - 81
NL Central CHN 71 91 648 748 0.3% 0.3% 0.3% 0.9% 61 - 81
NL Central HOU 61 101 584 752 0.0% 0.0% 0.0% 0.0% 51 - 71
Div Team W L RF RA Div WC 1 WC 2 PS% W 1 Std
NL West SF 85 77 663 634 36.5% 5.2% 10.2% 51.9% 75 - 95
NL West ARI 84 78 692 674 33.9% 3.0% 9.2% 46.0% 74 - 94
NL West COL 82 80 755 750 21.2% 2.9% 6.6% 30.7% 72 - 92
NL West SD 76 86 635 674 4.1% 0.9% 1.6% 6.6% 66 - 86
NL West LAN 75 87 622 671 4.3% 0.3% 2.5% 7.1% 65 - 85
NL WC1 90
NL WC2 88

Div: Percentage of times team won division
WC 1: Percentage of times team won first wild card
WC 2: Percentage of times team won second wild card
PS%: Total percentage team qualified for the postseason (DIV + WC1 + WC2)
W 1 Std: Wins within one standard deviation

--Posted at 7:45 am by SG / 34 Comments | - (0)




Tuesday, February 7, 2012

CAIRO 2012 v0.5 and More Somewhat Useless Projected Standings

I’ve uploaded the latest version of the 2012 MLB CAIRO projections. They can be downloaded here.

The only changes from version 0.4 were moving players who were signed/traded to their new teams.  I think this will probably be the last release until right before Opening Day unless I find any issues.

I figured since I’ve updated again I’d run another set of projected standings so here is what they look like.

Div Team W L RF RA Div WC 1 WC 2 PL%
AL East NYA 97 65 844 692 54.3% 22.5% 8.0% 84.8%
AL East TAM 92 70 772 660 23.2% 27.4% 14.1% 64.8%
AL East BOS 92 70 862 745 22.1% 27.0% 15.3% 64.4%
AL East TOR 78 84 758 795 0.4% 1.2% 2.6% 4.1%
AL East BAL 70 92 734 847 0.0% 0.1% 0.1% 0.2%
Div Team W L RF RA Div WC 1 WC 2 PL%
AL Central DET 88 74 814 741 60.7% 1.6% 12.7% 75.0%
AL Central CLE 84 78 763 729 32.1% 0.8% 9.5% 42.4%
AL Central CHA 74 88 705 805 3.5% 0.2% 1.0% 4.7%
AL Central KC 74 88 687 762 3.3% 0.0% 0.8% 4.1%
AL Central MIN 67 95 720 861 0.4% 0.0% 0.1% 0.5%
Div Team W L RF RA Div WC 1 WC 2 PL%
AL West TEX 92 70 812 695 51.2% 8.6% 17.0% 76.8%
AL West LAA 91 71 741 653 47.0% 9.9% 16.6% 73.5%
AL West OAK 76 86 685 735 0.7% 0.6% 1.7% 2.9%
AL West SEA 74 88 673 729 1.2% 0.2% 1.0% 2.4%
AL WC1 94
AL WC2 91
Div Team W L RF RA Div WC 1 WC 2 PL%
NL East PHI 92 70 701 605 60.8% 12.4% 9.1% 82.2%
NL East WAS 86 76 676 625 18.6% 18.2% 9.1% 45.8%
NL East ATL 85 77 700 676 13.2% 12.5% 11.0% 36.7%
NL East FLA 82 80 708 699 7.3% 8.0% 7.1% 22.3%
NL East NYN 75 87 670 733 0.3% 1.2% 1.8% 3.2%
Div Team W L RF RA Div WC 1 WC 2 PL%
NL Central STL 90 72 737 654 47.8% 12.4% 10.3% 70.5%
NL Central CIN 87 75 715 665 27.3% 11.6% 12.1% 51.0%
NL Central MIL 86 76 696 645 24.6% 12.3% 11.7% 48.6%
NL Central CHN 71 91 650 745 0.2% 0.2% 0.2% 0.5%
NL Central PIT 68 94 649 764 0.1% 0.0% 0.3% 0.4%
NL Central HOU 60 102 584 773 0.1% 0.1% 0.1% 0.3%
Div Team W L RF RA Div WC 1 WC 2 PL%
NL West SF 85 77 663 630 38.1% 3.1% 8.4% 49.5%
NL West ARI 84 78 659 634 33.5% 3.6% 8.9% 46.1%
NL West COL 81 81 761 759 18.3% 3.0% 6.6% 27.9%
NL West SD 76 86 633 668 5.2% 0.8% 2.2% 8.2%
NL West LAN 75 87 621 669 4.9% 0.7% 1.8% 7.3%
NL WC1 90
NL WC2 88

Div: Percentage of times team won division
WC 1: Percentage of times team won first wild card
WC 2: Percentage of times team won second wild card

These look more realistic to me than the last set I ran with Marcel.  Probably a bit high on the Yankees, but since CAIRO was created to make the Yankees look better than they are that stands to reason.

I am a bit surprised that Washington now projects better than Atlanta, even if it’s just a one game edge.  The only other major differences from this and the Marcel version is St. Louis at the top of the NL Central and San Francisco and Arizona above Colorado, both of which make sense to me.

Anyway, it’s still early, this is still not that useful, etc.,

--Posted at 9:58 am by SG / 43 Comments | - (0)




Saturday, January 28, 2012

Still Too Early 2012 MLB Standings Projection

Instead of running these with CAIRO this time I used Marcel, mainly out of curiosity in seeing what an unbiased projection that was not created to make the Yankees look better than they are would say.

It says this.

Div Team W L RF RA Div WC 1 WC 2 PL%
AL East NYA 92 70 785 682 45.3% 20.3% 10.4% 76.0%
AL East BOS 90 72 830 750 27.9% 26.1% 10.8% 64.8%
AL East TAM 88 74 717 646 23.7% 21.2% 12.2% 57.1%
AL East TOR 81 81 723 727 3.0% 6.9% 6.8% 16.7%
AL East BAL 70 92 694 806 0.0% 0.1% 0.2% 0.3%
Div Team W L RF RA Div WC 1 WC 2 PL%
AL Central DET 84 78 747 708 43.0% 2.4% 10.1% 55.4%
AL Central CLE 83 79 722 708 30.6% 2.9% 7.8% 41.3%
AL Central CHA 79 83 686 703 15.2% 1.5% 4.2% 20.9%
AL Central KC 79 83 691 714 10.8% 1.9% 4.1% 16.9%
AL Central MIN 68 94 693 813 0.4% 0.0% 0.1% 0.5%
Div Team W L RF RA Div WC 1 WC 2 PL%
AL West LAA 87 75 719 663 43.7% 6.1% 11.4% 61.2%
AL West TEX 87 75 765 707 38.2% 6.9% 13.4% 58.6%
AL West OAK 82 80 682 674 14.9% 3.1% 7.4% 25.3%
AL West SEA 76 86 649 689 3.2% 0.7% 1.6% 5.5%
Div Team W L RF RA Div WC 1 WC 2 PL%
NL East PHI 90 72 689 615 44.8% 16.5% 10.7% 72.0%
NL East ATL 89 73 668 608 38.2% 19.2% 9.9% 67.3%
NL East WAS 83 79 645 634 10.8% 10.3% 8.1% 29.2%
NL East FLA 80 82 682 690 5.7% 5.2% 5.4% 16.3%
NL East NYN 74 88 630 680 0.6% 1.5% 1.2% 3.2%
Div Team W L RF RA Div WC 1 WC 2 PL%
NL Central CIN 89 73 719 647 60.4% 8.4% 10.9% 79.7%
NL Central STL 84 78 708 681 24.6% 10.7% 7.0% 42.2%
NL Central MIL 81 81 678 672 13.1% 6.7% 7.7% 27.5%
NL Central PIT 72 90 657 732 1.6% 0.2% 1.0% 2.8%
NL Central CHN 70 92 668 761 0.4% 0.2% 0.4% 1.0%
NL Central HOU 66 96 617 749 0.0% 0.1% 0.0% 0.1%
Div Team W L RF RA Div WC 1 WC 2 PL%
NL West COL 85 77 749 711 32.1% 6.4% 10.9% 49.4%
NL West ARI 85 77 685 656 30.8% 7.3% 10.8% 48.9%
NL West SF 85 77 629 606 29.6% 5.4% 11.3% 46.3%
NL West LAN 76 86 618 659 4.1% 1.5% 2.7% 8.2%
NL West SD 75 87 608 653 3.4% 0.6% 2.5% 6.4%

Div: Percent of time team won division
WC 1: Percent of time team won first wild card
WC 2: Percent of time team won second wild card

We still don’t know if there will be a second wild card yet, so you can chop off that column and subtract that percentage from the team’s over playoff percentage. 

Because Marcel regresses more heavily than other projections and because it assumes every one who hasn’t played in MLB projects as league average, you see a tighter spread here than you’ll see in other projected standings.  The standard deviation for team wins in my last CAIRO projections was about 9.  In this version it’s 7.1.  That may be more realistic if you think about how little we really know about how good/bad players and teams are, even though what will actually happen in 2012 will show a much bigger spread more in line with other projected standings.

Here are the average win totals for the placings in each division and for the two wild cards.

Div Place Avg W
AL East 1 96
AL East 2 91
AL East 3 86
AL East 4 80
AL East 5 69
Div Avg W
AL Central 1 89
AL Central 2 83
AL Central 3 79
AL Central 4 75
AL Central 5 67
Div Avg W
AL West 1 92
AL West 2 86
AL West 3 81
AL West 4 74
AL WC 1 91
AL WC2 88
Div Avg W
NL East 1 94
NL East 2 88
NL East 3 83
NL East 4 78
NL East 5 72
Div Avg W
NL Central 1 92
NL Central 2 85
NL Central 3 80
NL Central 4 74
NL Central 5 69
NL Central 6 63
Div Avg W
NL West 1 91
NL West 2 85
NL West 3 81
NL West 4 77
NL West 5 71
NL WC1 89
NL WC2 87

What this shows is that on average a team needed 96 wins to win the AL East, etc.,.

Some obvious things to consider would be:

- the difference between Yu Darvish (and other imports) and a league average pitcher
- prospects who project better than league average
- players who switched to parks that will affect their projections since Marcel does not park-adjust

Despite all that, the ordinal rankings seem reasonable.  The only differences between this and CAIRO in that regard are that I have St. Louis ahead of Cincinnati and the Diamondbacks and Giants ahead of Colorado.

This is current through Francisco Cordero signing with Toronto, and assumes Prince Fielder at 1B and Miguel Cabrera playing a terrible version of 3B for Detroit in 70% of their games, and DHing in 25% of them. 

--Posted at 8:19 am by SG / 25 Comments | - (0)




Tuesday, December 13, 2011

CAIRO 2012 v0.3 and Some Extremely Early and Completely Useless 2012 Projected Standings

I’m releasing CAIRO 2012 v 0.3 today which mainly fixes a problem with a handful of pitchers like Alexi Ogando and Ross Ohlendorf and moves players to new teams where applicable.  I figure it’d be a good time to run some projected standings even though they are too early to be of any real value.

DISCLAIMER: This is very limited in telling us much about how 2012 will play out for a large number of reasons.

1) There are still a lot of roster changes coming.  This may give us some sense of how the offseason has impacted teams to this point and it also shows us how things might look if nothing changed from now until April.  Which won’t happen.

2) It’s too early to construct meaningful rosters for a lot of teams, so these projections will favor the teams that have essentially completed their 2012 rosters.

3) In addition to that, projection systems are inherently limited.  They are designed to estimate a player’s true talent based on what they’ve done so far and also by factoring in things like age and how similar players have performed in the past.  They will generally be in the ballpark for the general population of MLB players, but they can miss significantly on individual players which can obviously affect certain teams more heavily than others.

Anyway, using the depth charts from the wonderful MLB Depth Charts and includng playing time from players on the 40 man roster who don’t necessarily figure to be part of the the opening day 25 man rosters to account for organizational depth and playing out next season 100,000 times, here’s how CAIRO v0.3 sees things as of December 13, 2011.  These were run with Aramis Ramirez as a Brewer, but I didn’t remove any of the non-tendered players from yesterday from their rosters.

Date 12/13/2011
Iterations 100000
American League
TM W L RS RA Div WC PL
Yankees 94 68 862 740 59.0% 16.8% 75.9%
Red Sox 91 71 868 763 31.1% 26.1% 57.2%
Rays 85 77 717 654 9.5% 11.8% 21.4%
Blue Jays 75 87 773 817 0.3% 0.6% 0.9%
Orioles 68 94 741 853 0.0% 0.1% 0.1%
TM W L RS RA Div WC PL
Tigers 89 73 780 703 54.3% 4.7% 59.0%
Indians 87 75 751 696 40.8% 5.9% 46.6%
White Sox 77 85 723 795 3.3% 1.5% 4.8%
Royals 73 89 684 760 1.6% 0.2% 1.8%
Twins 66 96 698 829 0.0% - -
TM W L RS RA Div WC PL
Rangers 93 69 812 697 58.0% 13.7% 71.6%
Angels 90 72 720 640 39.5% 16.6% 56.1%
Mariners 77 85 653 668 2.3% 2.0% 4.2%
Athletics 71 91 636 686 0.3% 0.1% 0.4%
National League
TM W L RS RA Div WC PL
Phillies 92 70 681 598 60.6% 10.5% 71.1%
Braves 87 75 711 662 24.9% 13.8% 38.7%
Marlins 81 81 716 695 8.2% 4.4% 12.6%
Nationals 80 82 665 668 4.9% 3.2% 8.1%
Mets 76 86 669 710 1.4% 1.6% 3.0%
TM W L RS RA Div WC PL
Brewers 92 70 700 646 52.5% 14.3% 66.7%
Cardinals 90 72 708 648 36.8% 19.3% 56.2%
Reds 84 78 724 704 10.1% 10.8% 20.9%
Cubs 74 88 649 727 0.3% 1.1% 1.4%
Pirates 70 92 656 758 0.4% - 0.4%
Astros 60 102 569 759 0.0% - -
TM W L RS RA Div WC PL
Giants 88 74 656 613 46.3% 6.4% 52.7%
Diamondbacks 86 76 647 613 31.2% 6.4% 37.6%
Padres 81 81 620 613 11.3% 4.6% 15.9%
Dodgers 79 83 624 644 7.9% 2.9% 10.8%
Rockies 76 86 726 776 3.4% 0.6% 4.0%

The most shocking thing here is the Astros projecting to win 62 games IMO.  I also am amused by the fact that the Marlins don’t really project any better than the Nationals despite all their largesse this offseason.

Also, be aware that I haven’t accounted for the stupid new second wild card thing yet, since I am not certain that it will be implemented for this upcoming season, and rremember that this is more for fun than utility and take it in the appropriate spirit.

--Posted at 11:22 am by SG / 44 Comments | - (0)




Monday, September 5, 2011

Monte Carlo Standings and Postseason Odds Through September 4, 2011

American League
TM W L RS RA Div WC PL
Yankees 99 63 870 657 63.0% 36.7% 99.7%
Red Sox 98 64 860 694 36.9% 62.3% 99.3%
Rays 87 75 705 630 0.1% 0.9% 1.0%
Blue Jays 79 83 745 749 - - -
Orioles 64 98 694 841 - - -
TM W L RS RA Div WC PL
Tigers 89 73 740 724 94.2% - 94.2%
White Sox 82 80 672 681 4.0% - 4.0%
Indians 80 82 688 720 1.9% - 1.9%
Twins 71 91 662 791 - - -
Royals 67 95 706 782 - - -
TM W L RS RA Div WC PL
Rangers 91 71 815 696 92.1% 0.0% 92.1%
Angels 86 76 666 650 7.9% 0.0% 7.9%
Athletics 75 87 654 668 - - -
Mariners 69 93 574 678 - - -
National League
TM W L RS RA Div WC PL
Phillies 103 59 736 555 98.0% 2.0% 100.0%
Braves 94 68 678 605 2.0% 95.4% 97.4%
Mets 80 82 723 733 - 0.0% 0.0%
Nationals 75 87 632 688 - - -
Marlins 73 89 647 717 - - -
TM W L RS RA Div WC PL
Brewers 95 67 723 659 98.7% 0.2% 98.9%
Cardinals 86 76 761 714 1.3% 2.1% 3.3%
Reds 81 81 751 711 - - -
Pirates 74 88 633 706 - - -
Cubs 70 92 664 768 - - -
Astros 56 106 610 787 - - -
TM W L RS RA Div WC PL
Diamondbacks 89 73 713 689 83.2% 0.1% 83.3%
Giants 85 77 575 585 15.9% 0.3% 16.2%
Dodgers 80 82 641 630 0.8% 0.0% 0.8%
Rockies 78 84 744 751 0.1% - 0.1%
Padres 71 91 614 637 - - -

W: Projected final 2011 wins
L: Projected final 2011 losses
RS: Projected final 2011 runs scored
RA: Projected final 2011 runs allowed
Div: Division win percentage
WC: Wild card win percentage
PL: Playoff percentage (Div + WC)

Not looking like too much suspense aside from seeding at this point.

--Posted at 9:14 am by SG / 10 Comments | - (0)




Tuesday, August 9, 2011

More on Run Differentials

Last week I looked at the Yankees’ run differential and made the point that actual runs scored and allowed can be a bit misleading, and that it’s probably more instructive to look at the context neutral value of the offensive events for and against a team to get a better sense of how good they have actually been.  For the hell of it I decided to look at this for all teams in MLB as of this morning.

Team RS RA bRS bRA RS - bRS RA - bRA Gap
Pirates 436 469 415 503 21 -34 55
Yankees 603 436 577 455 26 -19 45
Padres 431 438 413 448 18 -10 28
Reds 542 510 522 511 20 -1 21
Phillies 504 375 500 391 4 -16 20
Blue Jays 534 522 515 522 19 0 18
Braves 476 426 467 428 9 -2 11
Royals 505 551 509 566 -4 -15 11
Diamondbacks 516 502 499 493 17 9 9
Nationals 449 471 445 475 4 -4 7
Rays 485 452 481 453 4 -1 5
Angels 441 419 457 439 -16 -20 5
Cardinals 552 500 538 490 14 10 4
Indians 478 486 458 469 20 17 3
Rockies 528 536 519 529 9 7 2
Twins 449 559 420 532 29 27 2
Athletics 442 456 430 440 12 16 -5
White Sox 453 468 451 457 2 11 -9
Mets 518 507 525 504 -7 3 -10
Red Sox 625 479 628 472 -3 7 -11
Dodgers 418 456 429 454 -11 2 -13
Marlins 462 503 471 497 -9 6 -15
Mariners 376 439 362 409 14 30 -16
Rangers 589 490 582 466 7 24 -17
Brewers 512 486 508 462 4 24 -19
Astros 437 574 451 568 -14 6 -20
Orioles 462 598 473 586 -11 12 -23
Cubs 474 571 481 552 -7 19 -26
Giants 399 411 414 399 -15 12 -28
Tigers 508 514 512 484 -4 30 -35

RS/RA: Actual runs scored/allowed
bRS/bRA linear weights batting runs scored/allowed.
Gap: RS - bRS minus RA - bRA.  The larger the number, the more a team has outplayed their peripherals.  Basically, positive is bad here and negative is good.

What this table is saying is that, for example, the Yankees have scored about 26 more runs and allowed 19 fewer runs than their peripheral stats say they should have.  That doesn’t mean you should subtract 4.5 wins from their total on the season.  It just means that their Pythagenpat record/run differential is a bit misleading.  In the Yankees’ case they’ve got 73 Pythag wins and 69 actual wins, so they haven’t really taken advantage of this in actual wins. 

Contrast that with Pittsburgh, who’ve stumbled lately.  They were playing over their heads all year, and unfortunately the correction has been ugly.  At 55-59, they’re still two wins ahead of their 53-61 Pythag record, and if you look at that gap they are probably not even that good.

--Posted at 2:57 pm by SG / 9 Comments | - (0)




Thursday, June 2, 2011

A Brief Foray into Run Differentials and Component Stats

At this point in the season, the Yankees have the second best winning percentage in the AL.

Team a%
CLE .623
NYY .574
BOS .536
TEX .536
DET .527
TBR .527
SEA .509
LAA .500
TOR .500
OAK .474
CHW .466
BAL .463
KCR .455
MIN .315

Over a full season at the actual winning percentage the Yankees would be about a 93 win team, with Cleveland at 101.

Now of course over 1/3 of a season actual winning percentage can be misleading since teams might be winning or losing more games than their actual performance merits.  So you can look at something like Pythagenpat to get a better sense of how well a team has played so far and what it might mean going forward.

Team p%
NYY .629
CLE .582
TEX .563
TBR .543
TOR .542
BOS .540
LAA .506
OAK .496
DET .486
CHW .480
SEA .478
KCR .462
BAL .422
MIN .322


If you do that, the Yankees look more like a 102 win team, which would be eight wins better than Cleveland and 11 wins better than Boston.

Although Pythagenpat does a pretty good job of estimating a team’s level of play, their actual runs scored and runs allowed might be skewed due to better or worse than expected performances in high leverage situations that are not necessarily repeatable going forward.

You can use linear weights batting runs to account for that.  What’s nice about doing that is you can put offense and pitching/defense on the same scale if you use all the same components.

Team b%
NYY .599
TEX .568
BOS .562
CLE .559
TOR .533
TBR .526
OAK .526
LAA .524
DET .504
CHW .479
SEA .469
KCR .435
BAL .423
MIN .343

This method also shows that the Yankees have played better than any other team in the AL, and would have them at around 97 wins, five wins ahead of Cleveland and six games ahead of Boston.

We do need to be cognizant that how a team has played so far only tells us so much about how good they are now and how good they’ll be going forward.  Regression towards the mean, injuries/roster changes and a whole host of other things are going to have an impact on how a team does moving forward.

But at least as of right now, the Yankees have probably been the best team in the league and the difference isn’t trivial.

All this is moot when Rafael Soriano returns to blow games though.

--Posted at 6:20 pm by SG / 26 Comments | - (0)




Tuesday, December 28, 2010

Extremely Early CAIRO 2011 MLB Projected Standings

Around this time every year I like to run projected standings for the upcoming MLB season.  It’s very limited in telling us much about how 2011 will play out since there are still a lot of roster changes coming, but it may give us some sense of how the offseason has impacted teams to this point and it also shows us how things would look if nothing changed from now until April.  Which won’t happen.

Since this point is not readily comprehensible for people of limited intelligence I’ll reiterate it. It’s too early to construct meaningful rosters for a lot of teams, so these projections will favor the teams that have essentially completed their 2011 rosters. 

In addition to that, projection systems are inherently limited.  They are designed to estimate a player’s true talent based on what they’ve done so far and also by factoring in things like age and how similar players have performed in the past.  They will generally be in the ballpark for the general population of MLB players, but they can miss significantly on individual players which can obviously affect certain teams more heavily than others.

So, anyway, using the depth charts from the wonderful MLB Depth Charts and includng playing time from players on the 40 man roster who don’t necessarily figure to be part of the the opening day 25 man rosters to account for organizational depth and playing out next season 10,000 times, here’s how CAIRO v0.3 sees things as of December 27, 2010.

Date 12/28/2010
Iterations 10000
American League
TM W L RS RA Div WC PL W+/- RS+/- RA+/-
Red Sox 98.1 63.9 856 690 54.6% 15.6% 70.2% 9.1 38 -54
Yankees 89.1 72.9 835 740 23.2% 21.7% 44.9% -5.9 -24 47
Rays 87.1 74.9 707 640 17.9% 18.7% 36.6% -8.9 -95 -9
Blue Jays 74.1 87.9 693 737 2.6% 5.8% 8.4% -10.9 -62 9
Orioles 70.1 91.9 723 813 1.8% 2.9% 4.7% 4.1 110 28
TM W L RS RA Div WC PL W+/- RS+/- RA+/-
Twins 85.7 76.3 752 715 33.3% 6.2% 39.5% -8.3 -29 44
White Sox 84.5 77.5 735 711 28.4% 6.2% 34.5% -3.5 -17 7
Tigers 84.0 78.0 727 712 27.5% 4.6% 32.0% 3.0 -24 -31
Indians 73.9 88.1 728 802 8.2% 2.7% 10.8% 4.9 82 50
Royals 66.9 95.1 678 815 2.8% 1.1% 3.9% -0.1 2 -30
TM W L RS RA Div WC PL W+/- RS+/- RA+/-
Rangers 89.2 72.8 746 673 50.1% 4.5% 54.6% -0.8 -41 -14
Athletics 82.1 79.9 678 667 26.1% 4.3% 30.4% 1.1 15 41
Angels 77.9 84.1 665 690 15.5% 3.2% 18.7% -2.1 -16 -12
Mariners 72.2 89.8 635 703 8.4% 2.5% 10.9% 11.2 122 5
National League
TM W L RS RA Div WC PL W+/- RS+/- RA+/-
Phillies 96.1 65.9 754 618 54.5% 11.0% 65.5% -0.9 -18 -22
Braves 88.5 73.5 754 690 26.6% 13.3% 39.9% -2.5 16 61
Mets 76.6 85.4 675 702 7.1% 4.5% 11.6% -2.4 19 50
Marlins 77.3 84.7 679 708 8.7% 5.0% 13.7% -2.7 -40 -9
Nationals 72.4 89.6 659 733 3.2% 2.0% 5.2% 13.4 -51 -141
TM W L RS RA Div WC PL W+/- RS+/- RA+/-
Cardinals 90.2 71.8 746 676 35.0% 12.0% 47.0% 4.2 10 35
Brewers 87.2 74.8 698 650 27.9% 8.9% 36.7% 10.2 -52 -154
Reds 85.5 76.5 723 689 23.5% 8.2% 31.7% -5.5 -67 4
Cubs 79.3 82.7 742 761 10.5% 6.3% 16.8% 4.3 57 -6
Pirates 67.7 94.3 671 808 2.1% 1.2% 3.3% -6.3 28 38
Astros 65.8 96.2 604 732 1.1% 1.0% 2.1% 3.8 -32 -36
TM W L RS RA Div WC PL W+/- RS+/- RA+/-
Rockies 85.9 76.1 768 732 31.7% 5.9% 37.6% 2.9 -2 15
Giants 84.2 77.8 699 667 24.1% 6.6% 30.6% -7.8 2 84
Dodgers 83.3 78.7 677 659 20.3% 7.2% 27.5% 3.3 10 -33
Padres 81.2 80.8 647 652 17.7% 5.0% 22.6% -8.8 -18 71
Diamondbacks 73.8 88.2 690 757 6.4% 1.9% 8.3% 3.8 -30 -25

W: Projected 2011 wins
L: Projected 2011 losses
RS: Projected 2011 runs scored
RA: Projected 2011 runs allowed
Div: Division win percentage
WC: Wild card win percentage
PL: Playoff percentage (Div + WC)
W+/-: 2011 projected wins minus 2010 actual wins
RS+/-: 2011 projected runs scored minus 2010 actual runs scored (positive means they are projected to score more)
RA+/-: 2011 projected runs allowed minus 2010 actual runs allowed (negative means they are projected to allow fewer)

The only reason I am showing wins and losses to one decimal place is so I don’t have to answer questions about why the wins and losses don’t add up to exactly 2430.  There is no way to imply that something like this can be precise to that level.

Did I mention that it’s still too early to do this, and that it shouldn’t be taken seriously?

I guess it’s not exactly news that Boston and Philadelphia look to be the two best teams in baseball right now.  Although it’s easy for lazy analysts to make the claim that Tampa Bay is going to be bad because they lost Carl Crawford and their whole bullpen, it’s just not true.  They’ve won the AL East in two of the past three seasons, and they have a ton of pitching talent in the minors.  Jake McGee looks like a potentially dominant closer.  They also won 96 games last year despite getting very little production out of first base and DH.  Losing Crawford hurts, but Desmond Jennings is another good prospect who has a chance to mitigate that a bit as well.

Toronto tends to project worse than they actually end up doing every year, mainly because they’ve always seemed to get better than expected pitching.  They’ve lost John Buck and Shaun Marcum from last year’s team, and CAIRO is expecting Jose Bautista will not hit 54 HRs again which explains most of their drop.

The Orioles tend to project better than they actually end up doing every year, but perhaps they’ll Buck that trend in 2011.

As for our Yankees, they’re still a good team.  They’re just not as good as Boston on paper right now.  That doesn’t mean they can’t win the division, it just means that they need some players to exceed their projections (A.J.?) and/or some players from Boston/Tampa Bay to underperform some of their’s.  If they can add Andy Pettitte or some league average starter who can give them 180 innings or so that’s probably worth another two wins over Ivan Nova/Sergio Mitre.

Right now the AL Central looks pretty tightly bunched at the top between the White Sox, Tigers and Twins.  Cleveland should be able to hold off KC for fourth place, although if Melky-mania runs wild who knows?

The West looks like Texas’s to lose, even without Cliff “The Big Train” Lee. LA of A could pick up about three wins if they sign Adrian Beltre, but that alone doesn’t seem like it’d be enough to get them up to Texas’s level.

I don’t know if the Phillies are as good as Boston, although they may be a better short series team.  They are almost certainly the tallest midget in the circus known as the National League, but they’re not some 110 win juggernaut on paper.  The Braves seem to be the second best team in the NL East and should at least be a strong contender for the wild card.

The Cardinals still appear to have the best front-line talent in the NL Central although Milwaukee has improved themselves significantly.  The Reds are not far off from the top either.

The NL West is also tightly bunched at the top, with only about four wins separating first place through fourth.

Did I mention that it’s too early for this to be taken too seriously?

--Posted at 10:00 am by SG / 134 Comments | - (0)




Monday, April 19, 2010

What Should We Expect Out of The Upcoming West Coast Trip(Oakland Edition)?

With a strong 9-3 start that has them tied for first place in the loss column in the AL East and already six games ahead of the Red Sox in that same loss column, the Yankees head west for six games.  The first three games are against Oakland, where the pitching matchups are:

Tuesday April 20
Javier Vazquez vs. Gio Gonzalez

Wednesday April 21
Phil Hughes vs. Ben Sheets

Thursday April 22
CC Sabathia vs. Dallas Braden

Oakland’s been a bit of a surprise this year as they are in first place in the AL West with a 9-5 record.  They’ve scored 62 runs and allowed 47 runs, which translates to a Pythagenpat record of… 9-5.

As a team, Oakland’s offense isn’t particularly good whether you look at their projections or how they’ve done so far in 2010. 

 Rank  team lg  PA H  2B 3B  HR R  RBI BB  SO HBP  GDP SB  CS AVG  OBP SLG  wOBA BR  BRAA
 1  Yankees  AL 472  114  24  4   16  69  63  61  76  7   10  15  4  .284  .386   .483  .379  75.2  18.2 
 2  Royals  AL 467  133  22  1   15  63  58  31  64  3   11  17  1  .309  .358   .470  .359  70.3  13.8 
 3  Twins  AL 518  123  23  2   15  69  67  65  74  2   14  8  1  .277  .367   .439  .354  73.0  10.4 
 4  Tigers  AL 483  114  30  2   8  58  50  60  74  7   13  2  3  .275  .375   .414  .354  64.8  6.5 
 5  Blue Jays  AL 494  98  35  1   18  57  55  46  109  4   5  9  1  .223  .300   .431  .315  60.7  0.9 
 6  Red Sox  AL 462  106  31  1   14  48  46  37  86  4   12  5  3  .255  .318   .435  .326  57.7  1.8 
 7  Rays  AL 458  101  23  3   14  62  61  41  97  2   8  17  4  .245  .314   .416  .319  56.1  0.7 
 8  Angels  AL 489  117  26  0   14  52  51  37  91  2   9  9  4  .262  .319   .414  .320  58.2  -0.9 
 9  Athletics  AL 523  117  28  1   7  62  60  46  89  5   11  11  2  .252  .321   .362  .305  56.5  -6.7 
 10  White Sox  AL 484  95  17  1   16  53  48  46  67  8   17  13  5  .222  .308   .379  .305  52.0  -6.5 
 11  Orioles  AL 488  104  23  3   12  42  40  36  87  6   13  3  3  .234  .299   .381  .299  49.8  -9.2 
 12  Rangers  AL 427  93  16  3   10  46  42  30  89  5   8  6  1  .241  .300   .376  .297  43.9  -7.7 
 13  Indians  AL 444  85  17  2   9  45  42  47  89  7   13  7  3  .219  .313   .343  .297  43.8  -9.9 
 14  Mariners  AL 473  102  18  2   5  45  42  47  93  3   7  11  6  .245  .321   .333  .297  45.7  -11.5 

wOBA: Weighted on-base average
BR: Linear weights batting runs
BRAA: BR above average (not position-adjusted)


As a team, they’ve collectively hit .252/.321/.362, although it should be noted that their home park suppresses offense a fair amount (by about 4% on average over the last four seasons).  It’s also probably at least worth mentioning that their 62 runs scored is a little higher than their context-neutral batting runs which could indicate some good fortune offensively so far.  For comparison’s sake, the Yankees have actually scored six fewer runs than they should have if you go by their context-neutral batting runs

You can see the difference more starkly if you line up their primary starting nine next to the Yankee lineup and compare their projections for 2010.

 Player  Pos PA  Outs BR  OBP  Player  Pos  PA  Outs  BR  OBP
 Derek Jeter SS  5  3.1  0.69  .372   Rajai Davis CF 5   3.3  0.61  .335 
 Nick Johnson DH  5  3.0  0.72  .405   Daric Barton 1B 5   3.2  0.64  .356 
 Mark Teixeira 1B  5  3.1  0.84  .381   Ryan Sweeney RF 5   3.3  0.60  .345 
 Alex Rodriguez 3B  5  3.1  0.87  .387   Kevin Kouzmanoff 3B 5   3.4  0.62  .312 
 Robinson Cano 2B  5  3.3  0.70  .338   Kurt Suzuki C 4   2.9  0.51  .333 
 Jorge Posada C  5  3.2  0.70  .355   Eric Chavez DH 4   2.8  0.44  .306 
 Curtis Granderson  CF 5  3.0  0.66   .341  Mark Ellis 2B  4  2.7  0.45  .316 
 Nick Swisher RF  4  2.6  0.56  .360   Travis Buck LF 4   2.7  0.48  .332 
 Brett Gardner LF  4  2.6  0.47  .341   Cliff Pennington SS 4   2.7  0.41  .327 
 Total  43   27.0  6.22  .365  Total   40  27.0  4.77  .330 

PA: # of PA in a single game
Outs: Outs made at the plate, equals PA times (1 minus OBP)
BR: Linear weights batting runs for listed PA
OBP:projected OBP

These are based on an average of six projection systems (CAIRO, CHONE, Marcel, Oliver, PECOTA and ZiPS), so the built-in CAIRO bias towards the Yankees is slightly mitigated. 

Of course, you don’t have to score 6.22 runs a game to be a good team in baseball if you can prevent runs well.  That’s where Oakland’s biggest strength lies.  So far this season, their pitching staff has been the most effective one in the American League.

 Rnk  team lg  Role G  GS IP  H R  ER HR  BB IBB  HBP SO  RA ERA  FIP RSAR
 1  Athletics  AL Total 48  13   115.3  98  39  33  8  44   2  2  97  3.04  2.58   3.62  29.8 
 2  Twins  AL Total 46  12   108.0  100  37  37  11   30  1  3  72  3.08  3.08   4.11  27.5 
 3  White Sox  AL Total 45  12   110.0  96  48  44  6  51   6  3  98  3.93  3.60   3.60  17.6 
 4  Mariners  AL Total 40  12   105.0  103  46  43  8   41  1  4  69  3.94  3.69   4.16  16.6 
 5  Rays  AL Total 46  11   103.0  97  45  44  16   39  2  4  75  3.93  3.84   5.02  16.4 
 6  Rangers  AL Total 42  11   95.0  87  41  34  11  40   1  8  77  3.88  3.22   4.60  15.7 
 7  Yankees  AL Total 39  11   95.0  87  42  40  8  34   0  4  79  3.98  3.79   3.83  14.7 
 8  Indians  AL Total 40  11   98.7  83  46  40  9  50   2  7  60  4.20  3.65   4.90  13.0 
 9  Blue Jays  AL Total 43  12   109.3  94  55  53  15   37  2  7  87  4.53  4.36   4.60  10.3 
 10  Red Sox  AL Total 45  11   100.0  100  54  45  13   42  2  3  64  4.86  4.05   4.96  5.5 
 11  Orioles  AL Total 48  12   104.7  114  63  54  13   36  7  4  96  5.42  4.64   4.13  -0.6 
 12  Tigers  AL Total 43  11   98.0  112  59  50  10   39  1  4  61  5.42  4.59   4.60  -0.8 
 13  Angels  AL Total 45  12   106.0  106  68  61  20   45  0  2  81  5.77  5.18   5.45  -4.8 
 14  Royals  AL Total 50  11   98.0  112  66  62  14   48  1  7  69  6.06  5.69   5.33  -7.6 



FIP: Fielding independent pitching
RSAR: Runs saved above replacement.  For starters this is calculated as 1.25 times league RA minus starter RA divided by nine times IP.  For relievers it’s calculated as 1.15 times league RA minus reliever RA divided by nine times IP

If you go by RA, the A’s have been the best pitching staff in the AL so far, although they obviously get a boost from their park.  The bulk of that value is actually in their rotation, at least so far.

 Rnk  team lg  Role G  GS IP  H R  ER HR  BB IBB  HBP SO  RA ERA  FIP RSAR
 1  Athletics  AL SP 13  13   78.3  68  23  20  5  27   0  2  58  2.64  2.30   3.66  24.5 
 4  Yankees  AL SP 11  11   66.0  57  27  26  4  26   0  3  56  3.68  3.55   3.61  13.1 
 4  Athletics  AL RP 35  0   37.0  30  16  13  3  17   2  0  39  3.89  3.16   3.52  5.3 
 9  Yankees  AL RP 28  0   29.0  30  15  14  4  8   0  1  23  4.66  4.34   4.34  1.7 

They’ve been better than the Yankees in both starting and relieving to this point, although strength of offenses faced is likely a contributing factor.

Lastly, Oakland also looks to have a very strong defense, here’s how the primary lineups compare defensively at each position.

 Pos  Player RS  RS/150  Player  RS  RS/150
 C Jorge Posada  -0.03  -5  Kurt Suzuki 0.05   7 
 1B Mark Teixeira  0.02  3  Daric Barton 0.03   5 
 2B Robinson Cano  0.00  -1  Mark Ellis 0.08   12 
 3B Alex Rodriguez  -0.03  -5  Kevin Kouzmanoff  0.02  3 
 SS Derek Jeter  -0.03  -4  Cliff Pennington  -0.05  -7 
 LF Brett Gardner  0.02  3  Travis Buck -0.01   -2 
 CF  Curtis Granderson 0.04  5   Rajai Davis 0.06  9 
 RF Nick Swisher  0.00  0  Ryan Sweeney 0.11   17 
 Total  -0.01   -2   0.30  45 

RS: Projected runs saved compared to average defensively per game, using an average of projected zone rating and UZR
RS/150: RS pro-rated to 150 games

Yeah, yeah, so what does all this nerdy crap mean?

It means if we want to figure out the win probability for each game via Bill James’s log 5 methodology, we’d use these numbers to do it.

So in Game 1, we have the following inputs:
Yankees
Offense: 6.22 runs
Defense: -0.01 runs
Pitching: 3.9 runs (using six innings of Vazquez’s projected RA, then an inning each of Damaso Marte, David Robertson and Mariano Rivera)

Pythagenpat win Percentage: .714
Home field disadvantage: -0.02
Road Pythagenpat win percentage: 0..694

Athletics
Offense: 4.77 runs
Defense: 0.30 runs
Pitching: 4.9 runs (using six innings of Gio Gonzalez’s projected RA, then an inning each of Brad Ziegler, Jerry Blevins and Andrew Bailey)

Pythagenpat Win Percentage: .519
Home field advantage: 0.02
Home Pythagenpat win percentage: 0.539

Log 5 win probability = team A win percentage minus team B win percentage + .500.  So for Game 1, with these lineups we’d set the Yankee win probability at 67.5%.  Of course, Vazquez’s projections don’t include the fact that he can’t pitch in Yankee pinstripes, so the actual Yankee win probability is more like -100.0%.

Using the same lineups for Games 2 and 3 with the changed pitching matchups gives us these probabilities:

Game 2: 57.4%
Game 3: 64.2%

So theoretically, if not for the Vazquez effect, the Yankees should expect to go something like 1.9 - 1.1 against Oakland.  Which they can’t do, because you can’t win partial games, so let’s round that up to 2-1.

Of course, one of the great modern philosphers made the astute observation that you can’t predict baseball, so I’m going to throw these numbers into the East River and predict an Oakland sweep to kick off a 15 game losing streak for the Yankees.

--Posted at 6:52 pm by SG / 50 Comments | - (0)



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