Jorge De La Rosa
| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016 | 35 | MIX2 levels | 30 | 27 | 149 | 5.39 | 4.88 | 17.5% | 10.0% | 0.9 | K 17.3% · BB 10.1% · FIP 4.56 | |
| 2017 | 36 | MLBARI | 65 | 0 | 51 | 4.21 | 4.11 | 20.5% | 7.8% | 0.3 | ||
| 2018 | 37 | MLBCHC | 59 | 0 | 56 | 3.38 | 4.05 | 19.3% | 9.5% | 0.3 | ||
| 2019 | 38 | No MLB games played | ||||||||||
| 2020 | 39 | No MLB games played | ||||||||||
| 2021 | 40 | No MLB games played | ||||||||||
| 2022 | 41 | No MLB games played | ||||||||||
| 2023 | 42 | No MLB games played | ||||||||||
| 2024 | 43 | No MLB games played | ||||||||||
| 2025 | 44 | No MLB games played | ||||||||||
| 2026 | 45 | No MLB games played | ||||||||||
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | |
|---|---|---|---|---|---|---|---|---|---|
| 2014 | 33 | MLBCOL | 67 | .150/.164/.150 | 0 | 0 | -27 | -0.9 | |
| 2015 | 34 | MLBCOL | 50 | .062/.062/.062 | 0 | 0 | -78 | -1.0 | |
| 2016 | 35 | MLBCOL | 42 | .184/.244/.184 | 0 | 0 | 20 | -0.3 | |
| 2017 | 36 | No MLB games played | |||||||
| 2018 | 37 | No MLB games played | |||||||
| 2019 | 38 | No MLB games played | |||||||
| 2020 | 39 | No MLB games played | |||||||
| 2021 | 40 | No MLB games played | |||||||
| 2022 | 41 | No MLB games played | |||||||
| 2023 | 42 | No MLB games played | |||||||
| 2024 | 43 | No MLB games played | |||||||
| 2025 | 44 | No MLB games played | |||||||
| 2026 | 45 | No MLB games played | |||||||
Career Stats + Projections
Methodology▸ how WAR & MLE are computed
Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.
| Year | Age | Lvl | Team | G | GS | IP | BF | K | BB | HR | GS% | IP/G | K% | BB% | K-BB% | HR% | ERA | FIP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per year (as recorded, no adjustments) | |||||||||||||||||||
| ▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year) | |||||||||||||||||||
| 2004 | 23 | MLB MLE | Milwaukee Brewers | 5 | 5 | 23 | 113 | 5 | 14 | 1 | 100% | 4.5 | 4.4% | 12.4% | -8.0% | 0.9% | 6.35 | 4.78 | +0.2 |
| 2004 | 23 | MLB RAW | Milwaukee Brewers | 5 | 5 | 23 | 113 | 5 | 14 | 1 | 100% | 4.5 | 4.4% | 12.4% | -8.0% | 0.9% | 6.35 | 5.09 | +0.1 |
| 2005 | 24 | MLB MLE | Milwaukee Brewers | 38 | 0 | 42 | 208 | 42 | 34 | 1 | 0% | 1.1 | 20.2% | 16.3% | 3.8% | 0.5% | 4.46 | 3.73 | +0.4 |
| 2005 | 24 | MLB RAW | Milwaukee Brewers | 38 | 0 | 42 | 208 | 42 | 34 | 1 | 0% | 1.1 | 20.2% | 16.3% | 3.8% | 0.5% | 4.46 | 3.83 | +0.4 |
| 2006 | 25 | MLB MLE | Kansas City Royals | 28 | 13 | 79 | 367 | 67 | 53 | 14 | 46% | 2.8 | 18.3% | 14.4% | 3.8% | 3.8% | 6.49 | 5.48 | -0.8 |
| 2006 | 25 | MLB RAW | Kansas City Royals | 28 | 13 | 79 | 367 | 67 | 53 | 14 | 46% | 2.8 | 18.3% | 14.4% | 3.8% | 3.8% | 6.49 | 5.72 | -1.1 |
| 2007 | 26 | MLB MLE | Kansas City Royals | 26 | 23 | 130 | 589 | 82 | 47 | 20 | 88% | 5.0 | 13.9% | 8.0% | 5.9% | 3.4% | 5.82 | 4.80 | +0.9 |
| 2007 | 26 | MLB RAW | Kansas City Royals | 26 | 23 | 130 | 589 | 82 | 47 | 20 | 88% | 5.0 | 13.9% | 8.0% | 5.9% | 3.4% | 5.82 | 4.92 | +0.7 |
| 2008 | 27 | MLB MLE | Colorado Rockies | 28 | 23 | 130 | 571 | 128 | 59 | 13 | 82% | 4.6 | 22.4% | 10.3% | 12.1% | 2.3% | 4.92 | 3.77 | +2.6 |
| 2008 | 27 | MLB RAW | Colorado Rockies | 28 | 23 | 130 | 571 | 128 | 59 | 13 | 82% | 4.6 | 22.4% | 10.3% | 12.1% | 2.3% | 4.92 | 3.79 | +2.5 |
| 2009 | 28 | MLB MLE | Colorado Rockies | 33 | 32 | 185 | 799 | 193 | 80 | 20 | 97% | 5.6 | 24.2% | 10.0% | 14.1% | 2.5% | 4.38 | 3.70 | +3.8 |
| 2009 | 28 | MLB RAW | Colorado Rockies | 33 | 32 | 185 | 799 | 193 | 80 | 20 | 97% | 5.6 | 24.2% | 10.0% | 14.1% | 2.5% | 4.38 | 3.72 | +3.8 |
| 2010 | 29 | MLB MLE | Colorado Rockies | 20 | 20 | 122 | 512 | 113 | 51 | 15 | 100% | 6.1 | 22.1% | 10.0% | 12.1% | 2.6% | 4.22 | 3.92 | +2.1 |
| 2010 | 29 | MLB RAW | Colorado Rockies | 20 | 20 | 122 | 512 | 113 | 51 | 15 | 100% | 6.1 | 22.1% | 10.0% | 12.1% | 2.9% | 4.22 | 4.10 | +1.9 |
| 2011 | 30 | MLB MLE | Colorado Rockies | 10 | 10 | 59 | 245 | 52 | 22 | 4 | 100% | 5.9 | 21.2% | 9.0% | 12.2% | 1.4% | 3.51 | 3.24 | +1.6 |
| 2011 | 30 | MLB RAW | Colorado Rockies | 10 | 10 | 59 | 245 | 52 | 22 | 4 | 100% | 5.9 | 21.2% | 9.0% | 12.2% | 1.6% | 3.51 | 3.34 | +1.5 |
| 2012 | 31 | MLB MLE | Colorado Rockies | 3 | 3 | 11 | 53 | 6 | 2 | 5 | 100% | 3.6 | 11.3% | 3.8% | 7.5% | 8.4% | 9.28 | 7.21 | -0.2 |
| 2012 | 31 | MLB RAW | Colorado Rockies | 3 | 3 | 11 | 53 | 6 | 2 | 5 | 100% | 3.6 | 11.3% | 3.8% | 7.5% | 9.4% | 9.28 | 8.63 | -0.4 |
| 2013 | 32 | MLB MLE | Colorado Rockies | 30 | 30 | 168 | 714 | 112 | 57 | 11 | 100% | 5.6 | 15.7% | 8.0% | 7.7% | 1.4% | 3.49 | 3.54 | +3.8 |
| 2013 | 32 | MLB RAW | Colorado Rockies | 30 | 30 | 168 | 714 | 112 | 57 | 11 | 100% | 5.6 | 15.7% | 8.0% | 7.7% | 1.5% | 3.49 | 3.64 | +3.6 |
| 2014 | 33 | MLB MLE | Colorado Rockies | 32 | 32 | 184 | 768 | 139 | 65 | 21 | 100% | 5.8 | 18.1% | 8.5% | 9.6% | 2.4% | 4.10 | 3.97 | +3.1 |
| 2014 | 33 | MLB RAW | Colorado Rockies | 32 | 32 | 184 | 768 | 139 | 65 | 21 | 100% | 5.8 | 18.1% | 8.5% | 9.6% | 2.7% | 4.10 | 4.13 | +2.8 |
| 2015 | 34 | MIX MLE | 2 levels | 28 | 28 | 158 | 673 | 141 | 65 | 19 | 100% | 5.6 | 21.1% | 9.8% | 11.3% | 2.4% | 4.10 | 3.86 | +2.9 |
| 2015 | 34 | MIX RAW | 2 levels | 28 | 28 | 158 | 673 | 141 | 65 | 19 | 100% | 5.6 | 21.0% | 9.7% | 11.3% | 2.8% | 4.10 | 4.11 | +2.4 |
| 2016 | 35 | MIX MLE | 2 levels | 30 | 27 | 149 | 680 | 119 | 68 | 23 | 90% | 5.0 | 17.3% | 10.1% | 7.2% | 3.0% | 5.39 | 4.56 | +1.5 |
| 2016 | 35 | MIX RAW | 2 levels | 30 | 27 | 149 | 680 | 119 | 68 | 23 | 90% | 5.0 | 17.5% | 10.0% | 7.5% | 3.4% | 5.39 | 4.88 | +0.9 |
| 2017 | 36 | MLB MLE | Arizona Diamondbacks | 65 | 0 | 51 | 219 | 45 | 17 | 7 | 0% | 0.8 | 20.5% | 7.8% | 12.8% | 3.2% | 4.21 | 4.09 | +0.3 |
| 2017 | 36 | MLB RAW | Arizona Diamondbacks | 65 | 0 | 51 | 219 | 45 | 17 | 7 | 0% | 0.8 | 20.5% | 7.8% | 12.8% | 3.2% | 4.21 | 4.11 | +0.3 |
| 2018 | 37 | MLB MLE | Chicago Cubs | 59 | 0 | 56 | 243 | 47 | 23 | 6 | 0% | 0.9 | 19.3% | 9.5% | 9.9% | 2.6% | 3.38 | 4.07 | +0.3 |
| 2018 | 37 | MLB RAW | Chicago Cubs | 59 | 0 | 56 | 243 | 47 | 23 | 6 | 0% | 0.9 | 19.3% | 9.5% | 9.9% | 2.5% | 3.38 | 4.05 | +0.3 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 430 | 241 | 1523 | 6650 | 1273 | 646 | 178 | 56% | 3.5 | 19.1% | 9.7% | 9.4% | 2.7% | 4.58 | 4.22 | +21.2 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 430 | 241 | 1523 | 6650 | 1273 | 646 | 178 | 56% | 3.5 | 19.1% | 9.7% | 9.4% | 2.7% | 4.58 | 4.18 | +21.9 | |
| / 200 IP | — | RAW | 56 | 32 | 200 | 873 | 167 | 85 | 23 | 56% | 3.5 | 19.1% | 9.7% | 9.4% | 2.7% | 4.58 | 4.18 | +2.9 | |
| Career | — | MLE | 435 | 246 | 1546 | 6754 | 1291 | 658 | 168 | 57% | 3.6 | 19.1% | 9.7% | 9.4% | 2.5% | 4.57 | 4.09 | +21.2 | |
| / 200 IP | — | MLE | 56 | 32 | 200 | 874 | 167 | 85 | 22 | 57% | 3.6 | 19.1% | 9.7% | 9.4% | 2.5% | 4.57 | 4.09 | +2.8 | |
How the minor-league lines were translated
One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.
2016 AAAAlbuquerque Isotopes · 15 IPFIP 3.23 → 3.47 (+0.25)K% 16.7% → 14.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 16.67% | — | ×0.880 | 14.67% |
| BB% (unintentional) /BF | 12.12% | — | ×1.050 | 12.73% |
| HR / BF /BF | 0.00% | ÷1.202 | ×1.100 | 0.00% |
Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 140).
Result: FIP 3.23 → 3.47, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).
2015 AAAAlbuquerque Isotopes · 9 IPFIP 5.43 → 5.66 (+0.22)K% 18.4% → 16.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.42% | — | ×0.880 | 16.21% |
| BB% (unintentional) /BF | 7.89% | — | ×1.050 | 8.29% |
| HR / BF /BF | 5.26% | ÷1.105 | ×1.100 | 5.24% |
Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 121).
Result: FIP 5.43 → 5.66, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).