Aníbal Sánchez
| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019 | 35 | MLBWSH | 30 | 30 | 166 | 3.85 | 4.08 | 18.8% | 6.7% | 2.6 | ||
| 2020 | 36 | MLBWSH | 11 | 11 | 53 | 6.62 | 5.08 | 17.6% | 6.5% | 0.2 | ||
| 2022 | 38 | MIX3 levels | 18 | 18 | 85 | 4.24 | 4.98 | 17.5% | 10.8% | 0.4 | K 17.0% · BB 11.3% · FIP 5.13 | |
| 2023 | 39 | No MLB games played | ||||||||||
| 2024 | 40 | No MLB games played | ||||||||||
| 2025 | 41 | No MLB games played | ||||||||||
| 2026 | 42 | No MLB games played | ||||||||||
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | |
|---|---|---|---|---|---|---|---|---|---|
| 2012 | 28 | MLBMIA | 35 | .100/.129/.167 | 0 | 0 | -31 | -0.5 | |
| 2018 | 34 | MLBATL | 44 | .024/.048/.024 | 0 | 0 | -89 | -0.9 | |
| 2019 | 35 | MLBWSH | 56 | .115/.115/.115 | 0 | 0 | -48 | -0.9 | |
| 2020 | 36 | No MLB games played | |||||||
| 2021 | 37 | No MLB games played | |||||||
| 2022 | 38 | No MLB games played | |||||||
| 2023 | 39 | No MLB games played | |||||||
| 2024 | 40 | No MLB games played | |||||||
| 2025 | 41 | No MLB games played | |||||||
| 2026 | 42 | 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) | |||||||||||||||||||
| 2006 | 22 | MLB MLE | Florida Marlins | 18 | 17 | 114 | 469 | 72 | 45 | 9 | 94% | 6.4 | 15.4% | 9.6% | 5.8% | 1.9% | 2.83 | 4.07 | +1.8 |
| 2006 | 22 | MLB RAW | Florida Marlins | 18 | 17 | 114 | 469 | 72 | 45 | 9 | 94% | 6.4 | 15.4% | 9.6% | 5.8% | 1.9% | 2.83 | 4.04 | +1.8 |
| 2007 | 23 | MLB MLE | Florida Marlins | 6 | 6 | 30 | 151 | 14 | 18 | 3 | 100% | 5.0 | 9.3% | 11.9% | -2.6% | 2.0% | 4.80 | 4.92 | +0.2 |
| 2007 | 23 | MLB RAW | Florida Marlins | 6 | 6 | 30 | 151 | 14 | 18 | 3 | 100% | 5.0 | 9.3% | 11.9% | -2.6% | 2.0% | 4.80 | 5.27 | +0.0 |
| 2008 | 24 | MLB MLE | Florida Marlins | 10 | 10 | 52 | 241 | 50 | 25 | 7 | 100% | 5.2 | 20.7% | 10.4% | 10.4% | 2.9% | 5.57 | 4.26 | +0.7 |
| 2008 | 24 | MLB RAW | Florida Marlins | 10 | 10 | 52 | 241 | 50 | 25 | 7 | 100% | 5.2 | 20.7% | 10.4% | 10.4% | 2.9% | 5.57 | 4.38 | +0.6 |
| 2009 | 25 | MLB MLE | Florida Marlins | 16 | 16 | 86 | 383 | 71 | 41 | 10 | 100% | 5.4 | 18.5% | 10.7% | 7.8% | 2.6% | 3.87 | 4.32 | +1.1 |
| 2009 | 25 | MLB RAW | Florida Marlins | 16 | 16 | 86 | 383 | 71 | 41 | 10 | 100% | 5.4 | 18.5% | 10.7% | 7.8% | 2.6% | 3.87 | 4.39 | +1.0 |
| 2010 | 26 | MLB MLE | Florida Marlins | 32 | 32 | 195 | 841 | 157 | 65 | 10 | 100% | 6.1 | 18.7% | 7.7% | 10.9% | 1.3% | 3.55 | 3.19 | +5.4 |
| 2010 | 26 | MLB RAW | Florida Marlins | 32 | 32 | 195 | 841 | 157 | 65 | 10 | 100% | 6.1 | 18.7% | 7.7% | 10.9% | 1.2% | 3.55 | 3.16 | +5.5 |
| 2011 | 27 | MLB MLE | Florida Marlins | 32 | 32 | 196 | 830 | 202 | 56 | 20 | 100% | 6.1 | 24.3% | 6.7% | 17.6% | 2.5% | 3.67 | 3.29 | +5.1 |
| 2011 | 27 | MLB RAW | Florida Marlins | 32 | 32 | 196 | 830 | 202 | 56 | 20 | 100% | 6.1 | 24.3% | 6.7% | 17.6% | 2.4% | 3.67 | 3.22 | +5.3 |
| 2012 | 28 | MLB MLE | Detroit Tigers | 31 | 31 | 196 | 820 | 167 | 45 | 20 | 100% | 6.3 | 20.4% | 5.5% | 14.9% | 2.5% | 3.86 | 3.47 | +4.6 |
| 2012 | 28 | MLB RAW | Detroit Tigers | 31 | 31 | 196 | 820 | 167 | 45 | 20 | 100% | 6.3 | 20.4% | 5.5% | 14.9% | 2.4% | 3.86 | 3.41 | +4.8 |
| 2013 | 29 | MLB MLE | Detroit Tigers | 29 | 29 | 182 | 746 | 202 | 53 | 9 | 100% | 6.3 | 27.1% | 7.1% | 20.0% | 1.3% | 2.57 | 2.40 | +7.1 |
| 2013 | 29 | MLB RAW | Detroit Tigers | 29 | 29 | 182 | 746 | 202 | 53 | 9 | 100% | 6.3 | 27.1% | 7.1% | 20.0% | 1.2% | 2.57 | 2.40 | +7.2 |
| 2014 | 30 | MLB MLE | Detroit Tigers | 22 | 21 | 126 | 514 | 102 | 29 | 4 | 95% | 5.7 | 19.8% | 5.6% | 14.2% | 0.8% | 3.43 | 2.59 | +4.6 |
| 2014 | 30 | MLB RAW | Detroit Tigers | 22 | 21 | 126 | 514 | 102 | 29 | 4 | 95% | 5.7 | 19.8% | 5.6% | 14.2% | 0.8% | 3.43 | 2.58 | +4.6 |
| 2015 | 31 | MLB MLE | Detroit Tigers | 25 | 25 | 157 | 660 | 138 | 48 | 29 | 100% | 6.3 | 20.9% | 7.3% | 13.6% | 4.6% | 4.99 | 4.77 | +1.1 |
| 2015 | 31 | MLB RAW | Detroit Tigers | 25 | 25 | 157 | 660 | 138 | 48 | 29 | 100% | 6.3 | 20.9% | 7.3% | 13.6% | 4.4% | 4.99 | 4.66 | +1.3 |
| 2016 | 32 | MLB MLE | Detroit Tigers | 35 | 26 | 153 | 668 | 135 | 52 | 30 | 74% | 4.4 | 20.2% | 7.8% | 12.4% | 4.7% | 5.87 | 4.95 | +0.8 |
| 2016 | 32 | MLB RAW | Detroit Tigers | 35 | 26 | 153 | 668 | 135 | 52 | 30 | 74% | 4.4 | 20.2% | 7.8% | 12.4% | 4.5% | 5.87 | 4.90 | +0.9 |
| 2017 | 33 | MIX MLE | 3 levels | 33 | 22 | 125 | 568 | 127 | 35 | 29 | 67% | 3.8 | 22.1% | 6.0% | 16.1% | 5.5% | 6.19 | 5.02 | +0.5 |
| 2017 | 33 | MIX RAW | 3 levels | 33 | 22 | 125 | 568 | 127 | 35 | 29 | 67% | 3.8 | 22.4% | 6.2% | 16.2% | 5.1% | 6.19 | 4.92 | +0.7 |
| 2018 | 34 | MIX MLE | 2 levels | 27 | 26 | 143 | 585 | 144 | 46 | 17 | 96% | 5.3 | 24.4% | 7.6% | 16.8% | 2.7% | 3.20 | 3.49 | +3.3 |
| 2018 | 34 | MIX RAW | 2 levels | 27 | 26 | 143 | 585 | 144 | 46 | 17 | 96% | 5.3 | 24.6% | 7.9% | 16.8% | 2.9% | 3.20 | 3.60 | +3.1 |
| 2019 | 35 | MLB MLE | Washington Nationals | 30 | 30 | 166 | 712 | 134 | 48 | 22 | 100% | 5.5 | 18.8% | 6.7% | 12.1% | 3.1% | 3.85 | 4.06 | +2.6 |
| 2019 | 35 | MLB RAW | Washington Nationals | 30 | 30 | 166 | 712 | 134 | 48 | 22 | 100% | 5.5 | 18.8% | 6.7% | 12.1% | 3.1% | 3.85 | 4.08 | +2.6 |
| 2020 | 36 | MLB MLE | Washington Nationals | 11 | 11 | 53 | 245 | 43 | 16 | 11 | 100% | 4.8 | 17.6% | 6.5% | 11.0% | 4.5% | 6.62 | 4.91 | +0.3 |
| 2020 | 36 | MLB RAW | Washington Nationals | 11 | 11 | 53 | 245 | 43 | 16 | 11 | 100% | 4.8 | 17.6% | 6.5% | 11.0% | 4.5% | 6.62 | 5.08 | +0.2 |
| 2022 | 38 | MIX MLE | 3 levels | 18 | 18 | 85 | 361 | 63 | 39 | 13 | 100% | 4.7 | 17.0% | 11.3% | 5.7% | 3.7% | 4.24 | 5.13 | +0.3 |
| 2022 | 38 | MIX RAW | 3 levels | 18 | 18 | 85 | 361 | 63 | 39 | 13 | 100% | 4.7 | 17.5% | 10.8% | 6.6% | 3.6% | 4.24 | 4.98 | +0.4 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 364 | 341 | 2018 | 8607 | 1774 | 642 | 238 | 94% | 5.5 | 20.6% | 7.5% | 13.2% | 2.8% | 4.06 | 3.83 | +38.1 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 364 | 341 | 2018 | 8607 | 1774 | 642 | 238 | 94% | 5.5 | 20.6% | 7.5% | 13.2% | 2.8% | 4.06 | 3.82 | +38.3 | |
| / 200 IP | — | RAW | 36 | 34 | 200 | 853 | 176 | 64 | 24 | 94% | 5.5 | 20.6% | 7.5% | 13.2% | 2.8% | 4.06 | 3.82 | +3.8 | |
| Career | — | MLE | 375 | 352 | 2060 | 8794 | 1817 | 660 | 250 | 94% | 5.5 | 20.7% | 7.5% | 13.1% | 2.8% | 4.09 | 3.87 | +38.1 | |
| / 200 IP | — | MLE | 36 | 34 | 200 | 854 | 176 | 64 | 24 | 94% | 5.5 | 20.7% | 7.5% | 13.1% | 2.8% | 4.09 | 3.87 | +3.8 | |
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.
2022 AAARochester Red Wings · 13 IPFIP 2.95 → 3.27 (+0.31)K% 22.4% → 19.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 22.41% | — | ×0.880 | 19.72% |
| BB% (unintentional) /BF | 13.79% | — | ×1.050 | 14.48% |
| HR / BF /BF | 0.00% | ÷1.084 | ×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 117).
Result: FIP 2.95 → 3.27, 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).
2018 AAAGwinnett Stripers · 7 IPFIP 5.74 → 6.56 (+0.83)K% 28.1% → 24.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 28.12% | — | ×0.880 | 24.75% |
| BB% (unintentional) /BF | 12.50% | — | ×1.050 | 13.12% |
| HR / BF /BF | 6.25% | ÷0.970 | ×1.100 | 7.09% |
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 94).
Result: FIP 5.74 → 6.56, 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).
2017 AAAToledo Mud Hens · 16 IPFIP 3.97 → 4.43 (+0.46)K% 29.4% → 25.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 29.41% | — | ×0.880 | 25.88% |
| BB% (unintentional) /BF | 7.35% | — | ×1.050 | 7.72% |
| HR / BF /BF | 4.41% | ÷1.049 | ×1.100 | 4.63% |
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 110).
Result: FIP 3.97 → 4.43, 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).