Friday, March 28, 2008
Looking Ahead to 2008 - Pitcher and Team Wrapup
We're finally through all the projections so it's time to look at what they mean. First up, here are the links to all the pieces for anyone who wants to get caught up.Position Players
Looking Ahead to 2008 - Jorge Posada
Looking Ahead to 2008 - Jason Giambi
Looking Ahead to 2008 - Robinson Cano
Looking Ahead to 2008 - Derek Jeter
Looking Ahead to 2008 - Alex Rodriguez
Looking Ahead to 2008 - Johnny Damon
Looking Ahead to 2008 - Melky Cabrera
Looking Ahead to 2008 - Bobby Abreu
Looking Ahead to 2008 - Hideki Matsui
Looking Ahead to 2008 - The Bench
Pitchers
Looking Ahead to 2008 - Chien-Ming Wang
Looking Ahead to 2008 - Andy Pettitte
Looking Ahead to 2008 - Mike Mussina
Looking Ahead to 2008 - Phil Hughes
Looking Ahead to 2008 - Ian Kennedy
Looking Ahead to 2008 - Joba Chamberlain
Looking Ahead to 2008 - Mariano Rivera
Looking Ahead to 2008 - Kyle Farnsworth and LaTroy Hawkins
Looking Ahead to 2008 - The Rest of the Pen
If you've been keeping up with these you'll recall that I projected the position players and bench to score 938 runs in 2008 using estimated playing time and depth charts. I projected their defense to be about 13 runs below average. For the pitching, that's a little bit trickier, so I'm going to present two scenarios.
Scenario 1
In this scenario, I'm going to assume that everything that I think the Yankees are planning for falls into place fairly well. This is basically the best case scenario assuming everyone plays to their average projections and innings limits.
| Starters | IP | H | R | ER | FR | HR | BB | SO | ERA |
| Chien-Ming Wang | 200 | 215 | 97 | 90 | 95 | 13 | 58 | 97 | 4.05 |
| Andy Pettitte | 200 | 220 | 103 | 94 | 98 | 19 | 62 | 137 | 4.25 |
| Phil Hughes | 160 | 152 | 78 | 72 | 77 | 16 | 57 | 129 | 4.07 |
| Ian Kennedy | 170 | 170 | 89 | 82 | 91 | 20 | 67 | 130 | 4.35 |
| Mike Mussina | 150 | 170 | 83 | 77 | 75 | 18 | 38 | 103 | 4.61 |
| Joba ChamberlainS | 100 | 94 | 47 | 43 | 45 | 11 | 33 | 99 | 3.90 |
| Starters Total | 980 | 1020 | 498 | 459 | 482 | 98 | 314 | 696 | 4.22 |
| Relievers | IP | H | R | ER | FR | HR | BB | SO | ERA |
| Mariano Rivera | 70 | 64 | 24 | 22 | 23 | 4 | 15 | 60 | 2.88 |
| Joba ChamberlainR | 40 | 34 | 15 | 14 | 16 | 4 | 14 | 48 | 3.10 |
| Kyle Farnsworth | 60 | 57 | 30 | 28 | 31 | 7 | 25 | 55 | 4.19 |
| LaTroy Hawkins | 60 | 66 | 31 | 29 | 32 | 6 | 20 | 34 | 4.36 |
| Chris Britton | 40 | 39 | 19 | 18 | 20 | 5 | 13 | 31 | 3.99 |
| Brian Bruney | 40 | 39 | 23 | 22 | 24 | 5 | 23 | 33 | 4.88 |
| Edwar Ramirez | 40 | 37 | 20 | 18 | 19 | 5 | 18 | 44 | 4.12 |
| Ross OhlendorfR | 40 | 44 | 21 | 19 | 23 | 6 | 13 | 27 | 4.37 |
| Jonathan Albaladejo | 40 | 41 | 22 | 20 | 23 | 6 | 14 | 30 | 4.59 |
| Scott Patterson | 40 | 40 | 20 | 19 | 20 | 5 | 12 | 33 | 4.23 |
| Relievers Total | 470 | 461 | 226 | 209 | 231 | 53 | 169 | 396 | 4.01 |
| IP | H | R | ER | FR | HR | BB | SO | ERA | |
| Starters + Relievers | 1450 | 1481 | 723 | 669 | 713 | 151 | 483 | 1092 | 4.15 |
| Average | 1450 | 1513 | 783 | 720 | 769 | 163 | 535 | 1070 | 4.47 |
| Difference | 0 | -32 | 60 | 51 | 57 | -12 | -52 | 22 | -0.32 |
FR in the table above is FIP(fielding independent pitching) runs allowed, which is an approximation of what the Yankee pitchers would allow with an average defense. You can probably move the innings around in the pen but most of the relievers project fairly closely to each other so it shouldn't make a ton of difference. In this scenario, the Yankees as a team would allow 723 runs in total, with the defense being responsible for about ten of them.
Scenario 2
| Starters | IP | H | R | ER | FR | HR | BB | SO | ERA |
| Chien-Ming Wang | 180 | 193 | 87 | 81 | 86 | 12 | 52 | 87 | 4.05 |
| Andy Pettitte | 160 | 176 | 83 | 75 | 79 | 16 | 50 | 110 | 4.25 |
| Phil Hughes | 150 | 143 | 73 | 68 | 73 | 15 | 53 | 121 | 4.07 |
| Ian Kennedy | 150 | 150 | 78 | 73 | 80 | 17 | 59 | 115 | 4.35 |
| Mike Mussina | 150 | 170 | 83 | 77 | 75 | 18 | 38 | 103 | 4.61 |
| Kei Igawa | 100 | 111 | 62 | 58 | 62 | 17 | 36 | 73 | 5.26 |
| Jeff Karstens | 90 | 105 | 60 | 56 | 58 | 15 | 33 | 53 | 5.56 |
| Joba ChamberlainS | 70 | 65 | 33 | 30 | 31 | 8 | 23 | 69 | 3.90 |
| Starters Total | 1050 | 1113 | 560 | 518 | 544 | 118 | 344 | 731 | 4.44 |
| Relievers | IP | H | R | ER | FR | HR | BB | SO | ERA |
| Mariano Rivera | 60 | 55 | 21 | 19 | 19 | 4 | 13 | 52 | 2.88 |
| Joba ChamberlainR | 30 | 25 | 11 | 10 | 12 | 3 | 11 | 36 | 3.10 |
| Kyle Farnsworth | 50 | 47 | 25 | 23 | 26 | 6 | 21 | 46 | 4.19 |
| LaTroy Hawkins | 50 | 55 | 26 | 24 | 27 | 5 | 17 | 29 | 4.36 |
| Chris Britton | 30 | 29 | 14 | 13 | 15 | 3 | 10 | 24 | 3.99 |
| Brian Bruney | 30 | 29 | 17 | 16 | 18 | 4 | 18 | 25 | 4.88 |
| Edwar Ramirez | 30 | 27 | 15 | 14 | 15 | 4 | 13 | 33 | 4.12 |
| Ross OhlendorfR | 30 | 33 | 16 | 15 | 18 | 4 | 10 | 20 | 4.37 |
| Jonathan Albaladejo | 30 | 31 | 16 | 15 | 17 | 4 | 11 | 22 | 4.59 |
| Scott Patterson | 30 | 30 | 15 | 14 | 15 | 4 | 9 | 25 | 4.23 |
| Sean Henn | 30 | 33 | 19 | 17 | 18 | 4 | 15 | 20 | 5.24 |
| Relievers Total | 400 | 396 | 196 | 182 | 199 | 45 | 147 | 331 | 4.09 |
| IP | H | R | ER | FR | HR | BB | SO | ERA | |
| Starters + Relievers | 1450 | 1509 | 756 | 700 | 742 | 163 | 490 | 1063 | 4.34 |
| Average | 1450 | 1513 | 783 | 720 | 769 | 163 | 535 | 1070 | 4.47 |
| Difference | 0 | -4 | 27 | 20 | 27 | 0 | -45 | -7 | -0.12 |
Here the assumption is the Yankees lose some time from their penciled-in starters and have to give Igawa and Karstens 190 innings. Sean Henn makes an appearance in the pen as well and the better-projected relievers pitch a little less. It should be noted that any or all of the pitchers could also pitch worse than projected, so this is not exactly the worst-case scenario by any means. I'd consider this more of a realistic/likely scenario assuming average fortune with health and performance. Here the Yankees as a team allow 783 runs, with 14 of them due to the defense.
So we have a runs scored of 938, and two different runs allowed totals. I'll use Pythagenpat to estimate the Yankees' schedule-neutral winning percentage. Pythagenpat is a more accurate way to estimate a team's pythagorean winning percentage by using a custom exponent instead of either the standard 2 or slightly more accurate 1.83. The formula to get the custom exponent is (RS/G + RA/G)^.28. Then we take RS^custom exponent and divide by (RS^custom exponent + RA^custom exponent).
Scenario 1
Runs Scored: 938
Runs Allowed: 723
Exponent: 1.92
Pythagenpat%: .62
Neutral Schedule Wins: 101
Scenario 2
Runs Scored: 938
Runs Allowed: 783
Exponent: 1.94
Pythagenpat%: .59
Neutral Schedule Wins: 95
We're not quite done yet, because now we have to look at the strength of the Yankees' schedule. Thankfully someone already did this on a post related to my Diamond Mind projections on Baseball Think Factory.
The AL East minus the Yanks has an expected winning percentage of .523. If we use Bill James's log 5 method to calculate the Yankees' expected winning percentage over their AL East games we get a winning percentage of .598 for scenario 1 and a winning percentage of .568 for scenario 2. I'm going to assume the rest of the schedule is .500 which is probably lazy but should be close enough with the margin of error.
Scenario 1: .598*76 + .62* 86 = 98.7 wins
Scenario 2: .568*76 + .59* 86 = 93.8 wins
I'm going to assume that the Yankees' luck will fall somewhere between scenarios 1 and 2. Split the difference and they should end up at 96 wins. Of course this depends on the key players staying healthy and hitting their projections, but on paper this is a very good team. Let's hope they show it starting Monday. The long off-season is almost over. Thanks to everyone who's stopped by over the last few months. Writing the blog and having people read and comment makes the off-season go by much faster for me.
Update: My Hardball Times' season preview for the Yankees has been posted on their site today for anyone who wants to check it out. Link: Five Questions: New York Yankees
Page 1 of 1 pages:
















































