xERA has been a staple pitching statistic for a long time as another option to FIP and DIPS ERA estimation. Did you know the person behind xERA also developed a way to find a hitters xERA? Using Dwight Gill’s formulas, I have calculated the xERA’s of the Red Sox hitters.
Much more information about xERA can be found on xera-baseball.com.
|
G |
PA |
|
BA |
OBP |
SLG |
OPS |
|
IP |
xER |
xERA |
| Kevin Youkilis |
40 |
172 |
|
.362 |
.483 |
.659 |
1.142 |
|
31 |
32 |
9.35 |
| Jason Bay |
53 |
232 |
|
.283 |
.405 |
.618 |
1.023 |
|
48 |
44 |
8.22 |
| Jason Varitek |
40 |
167 |
|
.248 |
.335 |
.531 |
.866 |
|
38 |
27 |
6.33 |
| Mike Lowell |
52 |
220 |
|
.302 |
.327 |
.505 |
.832 |
|
52 |
32 |
5.50 |
| J.D. Drew |
49 |
195 |
|
.253 |
.374 |
.481 |
.856 |
|
43 |
26 |
5.40 |
| Dustin Pedroia |
52 |
242 |
|
.325 |
.415 |
.432 |
.847 |
|
51 |
30 |
5.29 |
| Jeff Bailey |
23 |
81 |
|
.188 |
.309 |
.391 |
.700 |
|
20 |
9 |
4.01 |
| Jacoby Ellsbury |
52 |
241 |
|
.313 |
.351 |
.379 |
.731 |
|
57 |
24 |
3.83 |
| Nick Green |
37 |
122 |
|
.288 |
.352 |
.414 |
.767 |
|
29 |
12 |
3.82 |
| Rocco Baldelli |
16 |
52 |
|
.265 |
.308 |
.449 |
.757 |
|
13 |
5 |
3.76 |
| Julio Lugo |
25 |
88 |
|
.266 |
.341 |
.354 |
.695 |
|
20 |
8 |
3.58 |
| David Ortiz |
48 |
217 |
|
.187 |
.281 |
.289 |
.570 |
|
53 |
15 |
2.55 |
| George Kottaras |
19 |
55 |
|
.188 |
.255 |
.292 |
.546 |
|
14 |
4 |
2.36 |
After working out the formulas for expected earned runs created and innings batted, we are able to calculate how many expected earned runs a batter would score if he alone had all 27 outs to work with.
– League average xERA is about 4.60
– Youkilis is 4th in baseball behind Joe Mauer (13.25!!), Albert Pujols (10.52) and Manny Ramirez (9.53)
– Ortiz is 312th in baseball
– Delmon Young’s xERA is 0.96, I don’t even know what to say about how horrible that is.