Cookin’ With Gas

Statistical analysis of the Baltimore Orioles on an almost weekly basis.

Archive for October, 2007

You Have One Game to Win…

Posted by cookinwithgas on October 24, 2007

Someone over at the Orioles Hangout asked a great question the other day – if you have one game to win, who would be your starting pitcher? 

I took 20 pitchers who have each faced at least 72 batters during postseason play since 2002.  I originally used the pitchers listed in the OH thread, and then added others as their names came to me.  I only used the regular season numbers for the season in which the pitcher appeared in the postseason.  For instance, since 2002, Curt Schilling has appeared in the 2002, 2004, and 2007 postseasons.  So I compared his 2002, 2004, and 2007 regular season numbers to his 2002, 2004, and 2007 post season numbers. 

First, I want to attack the question using traditional stats, and my favorite – FIP ERA.  Overall, the 20 pitchers combined to post a 3.45 ERA in the 12,400 regular season innings in which they appeared in the playoffs.  The same 20 pitchers combined for a 3.88 ERA in 877 post season innings.  The regular season FIP ERA of the pitchers was 3.65 compared to 4.11 during post season play.  I personally found it interesting that the numbers represented a 12.4% increase in ERA compared to a 12.7% increase in FIP ERA. I will admit that I was surprised that the overall ERA actually increased.  It has always been my assumption that the overall ERA tends to go down in post season play.  Maybe that’s what I get for listening to announcers. 

Now we know that the overall ERA goes up, but do the numbers give us a clue as to why?  BABIP stayed about the same (it increased from .288 to .292).  LOB% is relatively unchanged (73.6% up to 73.8%).  WHIP goes up from 1.18 to 1.26.  K% dropped from 19.7% down to 18.1%, while BB% goes from 6% up to 6.7%.  Command Rate dropped from 3.31 down to 2.72.  So the only relatively big changes seen thus far involved walks and strikeouts.  I suppose this really shouldn’t be a surprise considering these pitchers are facing better hitters.  Want another indicator that the pitchers are facing better hitting?  HR/OFFB% went up a good amount (10.6% up to 12.2%) – this explains the increased ERA as much as anything.   

Of the 20 pitchers in the survey, only six had a better post season ERA than regular season ERA.  This caused me to think maybe the first comparison I made was negatively impacted by those at the bottom.  So I decided to do another comparison, this one taking a look at the pitchers in the survey with the 10 best regular season ERAs.  The ERA change this time was 2.99, compared to 3.13 in the post season.  The FIP ERA change was 3.38 up to 3.67.  Those represent a 5% and 7% increase, respectively.   

We’ve looked at the overall numbers, how’d the pitchers do individually?   

Curt Schilling’s postseason ERA during the time span is 3.17, compared to his 3.39 regular season ERA in the affected seasons. 

The pitcher in the survey with the 5th best ERA improvement was Andy Pettitte (3.44 down to 3.13 in the postseason). 

Chris Carpenter’s post season ERA was 2.53 compared to 2.95 in the affected regular seasons. 

John Smoltz had the third best improvement in the survey – a 2.76 regular season ERA compared to a 1.96 post season ERA. 

Mariano Rivera’s post season ERA since 2002 was an amazing 0.70 compared to 2.06 in the regular season. 

The biggest ERA improvement from the regular season to the post season?   

Drum roll, please. 

Raise your hand if you guessed Josh Beckett.  His regular season ERA during the 2003 and 2007 seasons was 3.18, compared to 1.78 during those two post seasons.  Before someone says that it’s only two seasons, only three pitchers in the survey have faced more post season batters than Beckett since 2002. 

The three pitchers with the biggest increase in ERA?  Glavine (3.36 to 5.84), R Johnson (3.60 to 7.11), and Wang (3.73 all the way up to 7.58). 

So how did they rank in overall post season ERA since 2002? 

Rivera (0.70), Beckett (1.78), Smoltz (1.96), Carpenter (2.53), Pettitte (3.13),Schilling (3.17), Lackey (3.63), Oswalt (3.66), Santana (3.97), Wells (4.08),Zito (4.11), Mussina (4.19), Pedro (4.39), Clemens (4.50), Morris (4.96),Hudson (5.10), Glavine (5.84), Wakefield (5.91), R Johnson (7.11), Wang (7.58). 

If you have one game to win, who would be your starting pitcher? 

Based on this survey, Josh Beckett seems to be the best bet to me. 

In my next post I’ll take a look at the question from a different angle. 

Thanks. 

Go Rockies!

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The Schilling Theory

Posted by cookinwithgas on October 1, 2007

During Boston’s first trip to Baltimore, Gary Thorne talked about Curt Schilling’s theory of which team would win the division title.  According to Schilling, the opening day five-man rotation which made the most combined starts would win the division.  So, is Curt Schilling on to something? 

The opening day rotation for the Blue Jays made a total of 85 starts.  Their overall total was hurt by the early loss of Gustavo Chacin, who made only five starts.   

The Orioles rotation made 96 starts, with the early exits of Loewen and Wright hurting the overall total. 

The Yankees?  105 starts, with Pavano’s two starts bringing down the total. 

The big surprise to me was Tampa Bay’s rotation, which actually combined for 116 starts.  They actually had three pitchers (Kazmir, Shields, and Jackson) with at least 31 starts. 

For those scoring at home, it looks as if Schilling was right, at least in terms of which team would win the division.  The opening day Red Sox rotation combined for an amazing 140 starts, including at least 23 starts from each member of the rotation. 

The cases of Jeremy Guthrie and Roger Clemens caused me to take it a step further and add the sixth starter to each rotation.  How much of an effect did this have? 

Boston             150 starts

Tampa Bay     138 starts

New York         122 starts

Baltimore         122 starts

Toronto            112 starts 

Kudos to Schilling, at least in terms of forecasting the division winner.  The thing I can’t remember is if he said the final division standings would be determined in the same manner.  If he did, then he wasn’t so right.  I’m probably in the minority here, but seeing Tampa Bay rank so high should make the rest of the division real nervous going into 2008. 

Hearing Thorne talk about the Schilling Theory gave me an idea.  I made a list I called “You’ll Know the 2007 Orioles Had a Bad Season If…”  For instance, one item on my list was “if Rob Bell winds up facing at least 250 batters.” 

I never posted the list because I realized that there was no way so many things could go wrong with one pitching staff.  So I held on to the list until now. Here goes: I’ll know the 2007 Orioles are in trouble if …

  • Jon Leicester, Victor Zambrano, Kurt Birkikns and someone named Victor Santos combine for more combined starts (12) than opening day rotation members Adam Loewen and Jaret Wright (9). 

  • Jeremy Guthrie starts 26 games.  (Of course, if he somehow gives the team a 3.70 ERA over 175 innings pitched, I would consider this one to be a good thing.)

  • Daniel Cabrera shows signs of regression by posting a 5.55 ERA with a 23% lower K-Rate.

  • Erik Bedard is not able to start at least 30 games or garner 200 innings pitched.

  • Steve Trachsel is actually allowed to start 25 games.  (Of course, if he pulls off the miracle of all miracles and posts a 4.48 ERA, then this would be a good thing.)

  • Rob Bell ends up facing at least 250 batters, while Chris Ray faces less than 180.

  • Chris Ray and Danys Baez combine for a 5.52 ERA with only 19 saves and only 93 innings pitched.

  • Scott Williamson is released following 16 appearances and 14.3 innings pitched.

  • Someone or something named Rocky Cherry is a key cog in the bullpen by September.

  • Paul Shuey is needed to appear in 25 games.

  • The team would need to give starts to 13 pitchers.

  • The team would need to use 27 pitchers.

  • 19 of the 27 pitchers used posted an ERA higher than 5.00.  (In fact, I would have bet this could not possibly happen.)

  • The final overall team ERA is 5.19.

 As I said, I had to keep this list hidden because it was just too far out there.  It’s a good thing none of those things actually happened.

Okay, you got me.  I didn’t make this list five months ago.  No one has an imagination like that.

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