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.
