I've created a spreadsheet that ties together some of the more powerful pitcher evaluation metrics out there. Many thanks to FreeZo for the challenge and assistance, Matthan for the groundbreaking work on eK%, Stat-Corner, Fangraphs, & Baseball-Reference for the data. You can find a google.doc HERE. You can download the .xls MLB Pitcher Metrics at that link. If you want to do your own sorts or calculations it can be very beneficial to just download the .xls instead of trying to extract from googledocs. Here is a peek at what the workbook entails:
| Pitcher |
Team |
eK% |
FIP
|
xFIP
|
K% |
tRA*
|
wOBA
|
|
|
| Garza |
TBA |
20.4% |
4.17 |
4.21 |
22.0% |
4.87 |
0.316 |
| Kazmir |
TBA |
20.2% |
4.26 |
4.88 |
18.1% |
5.51 |
0.340 |
| Niemann |
TBA |
16.9% |
4.07 |
4.53 |
16.3% |
4.98 |
0.329 |
| Price |
TBA |
19.5% |
4.59 |
4.49 |
18.3% |
5.27 |
0.320 |
| Shields |
TBA |
18.1% |
4.02 |
3.92 |
18.0% |
4.68 |
0.336 |
|
|
Now that we've seen the Rays, how did the rest of the AL East do?
| Pitcher |
Team |
eK% |
FIP
|
xFIP
|
K% |
tRA*
|
wOBA
|
|
|
| Bergesen |
BAL |
13.9% |
4.10 |
4.42 |
12.5% |
4.66 |
0.319 |
| Berken |
BAL |
13.1% |
5.31 |
5.1 |
11.8% |
5.95 |
0.398 |
| Guthrie |
BAL |
13.7% |
5.31 |
5.22 |
12.6% |
5.39 |
0.360 |
|
|
| Beckett |
BOS |
22.1% |
3.63 |
3.35 |
22.5% |
4.26 |
0.307 |
| Lester |
BOS |
25.1% |
3.15 |
3.13 |
26.7% |
3.82 |
0.299 |
| Penny |
BOS |
16.8% |
4.46 |
4.56 |
14.5% |
5.20 |
0.347 |
| Wakefield |
BOS |
14.6% |
4.58 |
5.5 |
12.6% |
5.35 |
0.342 |
|
|
| Burnett |
NYA |
21.4% |
4.33 |
4.29 |
21.8% |
4.96 |
0.331 |
| Chamberlain |
NYA |
19.5% |
4.82 |
4.56 |
18.8% |
5.12 |
0.358 |
| Pettitte |
NYA |
19.6% |
4.15 |
4.38 |
17.7% |
4.98 |
0.329 |
| Sabathia |
NYA |
22.3% |
3.39 |
3.82 |
21.0% |
4.24 |
0.291 |
|
|
| Halladay |
TOR |
20.6% |
3.06 |
3.05 |
21.6% |
3.84 |
0.297 |
| Richmond |
TOR |
20.4% |
5.22 |
4.55 |
19.2% |
5.50 |
0.359 |
| Romero |
TOR |
19.8% |
4.33 |
4.09 |
18.3% |
4.84 |
0.354 |
| Tallet |
TOR |
17.3% |
4.68 |
4.93 |
16.7% |
5.56 |
0.347 |
|
|
As you flip through, keep in mind that these numbers are neither league nor park adjusted. Also, this only includes all pitchers with a minimum of 300 xOuts. This is going to skew the data in the favor of the NL pitchers in many cases as they get to face Dioner Navarro 3 times a game. If anyone has any recommendations on this workbook, please let me know in the comments.
