Doug Fister
P Texas Rangers| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016 | 32 | MLBHOU | 32 | 32 | 180 | 4.64 | 4.57 | 14.8% | 7.8% | 1.7 | ||
| 2017 | 33 | MIX2 levels | 21 | 18 | 106 | 4.75 | 3.58 | 20.4% | 8.8% | 2.3 | K 20.1% · BB 8.8% · FIP 3.63 | |
| 2018 | 34 | MLBTEX | 12 | 12 | 66 | 4.50 | 4.92 | 13.8% | 6.6% | 0.4 | ||
| 2019 | 35 | No MLB games played | ||||||||||
| 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 | ||||||||||
Statcast · Contract
Contract
No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.
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) | |||||||||||||||||||
| 2009 | 25 | MLB MLE | Seattle Mariners | 11 | 10 | 61 | 256 | 36 | 15 | 11 | 91% | 5.5 | 14.1% | 5.9% | 8.2% | 4.3% | 4.13 | 5.01 | +0.3 |
| 2009 | 25 | MLB RAW | Seattle Mariners | 11 | 10 | 61 | 256 | 36 | 15 | 11 | 91% | 5.5 | 14.1% | 5.9% | 8.2% | 4.3% | 4.13 | 5.00 | +0.3 |
| 2010 | 26 | MLB MLE | Seattle Mariners | 28 | 28 | 171 | 720 | 93 | 30 | 13 | 100% | 6.1 | 12.9% | 4.2% | 8.8% | 1.9% | 4.11 | 3.55 | +3.9 |
| 2010 | 26 | MLB RAW | Seattle Mariners | 28 | 28 | 171 | 720 | 93 | 30 | 13 | 100% | 6.1 | 12.9% | 4.2% | 8.8% | 1.8% | 4.11 | 3.53 | +3.9 |
| 2011 | 27 | MLB MLE | Detroit Tigers | 32 | 31 | 216 | 875 | 146 | 35 | 11 | 97% | 6.8 | 16.7% | 4.0% | 12.7% | 1.3% | 2.83 | 2.92 | +6.9 |
| 2011 | 27 | MLB RAW | Detroit Tigers | 32 | 31 | 216 | 875 | 146 | 35 | 11 | 97% | 6.8 | 16.7% | 4.0% | 12.7% | 1.3% | 2.83 | 2.90 | +6.9 |
| 2012 | 28 | MLB MLE | Detroit Tigers | 26 | 26 | 162 | 673 | 137 | 36 | 15 | 100% | 6.2 | 20.4% | 5.3% | 15.0% | 2.3% | 3.45 | 3.34 | +4.1 |
| 2012 | 28 | MLB RAW | Detroit Tigers | 26 | 26 | 162 | 673 | 137 | 36 | 15 | 100% | 6.2 | 20.4% | 5.3% | 15.0% | 2.2% | 3.45 | 3.28 | +4.3 |
| 2013 | 29 | MLB MLE | Detroit Tigers | 33 | 32 | 209 | 881 | 159 | 42 | 14 | 97% | 6.3 | 18.0% | 4.8% | 13.3% | 1.7% | 3.67 | 3.09 | +6.1 |
| 2013 | 29 | MLB RAW | Detroit Tigers | 33 | 32 | 209 | 881 | 159 | 42 | 14 | 97% | 6.3 | 18.0% | 4.8% | 13.3% | 1.6% | 3.67 | 3.05 | +6.2 |
| 2014 | 30 | MLB MLE | Washington Nationals | 25 | 25 | 164 | 662 | 98 | 24 | 18 | 100% | 6.6 | 14.8% | 3.6% | 11.2% | 2.7% | 2.41 | 3.80 | +3.2 |
| 2014 | 30 | MLB RAW | Washington Nationals | 25 | 25 | 164 | 662 | 98 | 24 | 18 | 100% | 6.6 | 14.8% | 3.6% | 11.2% | 2.7% | 2.41 | 3.77 | +3.2 |
| 2015 | 31 | MIX MLE | 3 levels | 27 | 17 | 113 | 488 | 73 | 21 | 15 | 63% | 4.2 | 14.0% | 4.7% | 9.4% | 3.1% | 3.91 | 4.22 | +1.6 |
| 2015 | 31 | MIX RAW | 3 levels | 27 | 17 | 113 | 488 | 73 | 21 | 15 | 63% | 4.2 | 15.0% | 4.3% | 10.7% | 3.1% | 3.91 | 4.09 | +1.7 |
| 2016 | 32 | MLB MLE | Houston Astros | 32 | 32 | 180 | 779 | 115 | 61 | 24 | 100% | 5.6 | 14.8% | 7.8% | 6.9% | 3.2% | 4.64 | 4.58 | +1.7 |
| 2016 | 32 | MLB RAW | Houston Astros | 32 | 32 | 180 | 779 | 115 | 61 | 24 | 100% | 5.6 | 14.8% | 7.8% | 6.9% | 3.1% | 4.64 | 4.57 | +1.7 |
| 2017 | 33 | MIX MLE | 2 levels | 21 | 18 | 106 | 457 | 93 | 40 | 9 | 86% | 5.0 | 20.1% | 8.8% | 11.3% | 2.0% | 4.75 | 3.63 | +2.3 |
| 2017 | 33 | MIX RAW | 2 levels | 21 | 18 | 106 | 457 | 93 | 40 | 9 | 86% | 5.0 | 20.4% | 8.8% | 11.6% | 2.0% | 4.75 | 3.58 | +2.3 |
| 2018 | 34 | MLB MLE | Texas Rangers | 12 | 12 | 66 | 289 | 40 | 19 | 11 | 100% | 5.5 | 13.8% | 6.6% | 7.3% | 3.7% | 4.50 | 4.77 | +0.5 |
| 2018 | 34 | MLB RAW | Texas Rangers | 12 | 12 | 66 | 289 | 40 | 19 | 11 | 100% | 5.5 | 13.8% | 6.6% | 7.3% | 3.8% | 4.50 | 4.92 | +0.4 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 242 | 226 | 1422 | 5976 | 970 | 318 | 140 | 93% | 5.9 | 16.2% | 5.3% | 10.9% | 2.3% | 3.72 | 3.69 | +29.5 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 242 | 226 | 1422 | 5976 | 970 | 318 | 140 | 93% | 5.9 | 16.2% | 5.3% | 10.9% | 2.3% | 3.72 | 3.69 | +29.5 | |
| / 200 IP | — | RAW | 34 | 32 | 200 | 840 | 136 | 45 | 20 | 93% | 5.9 | 16.2% | 5.3% | 10.9% | 2.3% | 3.72 | 3.69 | +4.1 | |
| Career | — | MLE | 247 | 231 | 1448 | 6080 | 984 | 325 | 144 | 94% | 5.9 | 16.2% | 5.3% | 10.8% | 2.4% | 3.71 | 3.71 | +29.5 | |
| / 200 IP | — | MLE | 34 | 32 | 200 | 840 | 136 | 45 | 20 | 94% | 5.9 | 16.2% | 5.3% | 10.8% | 2.4% | 3.71 | 3.71 | +4.2 | |
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.
2017 AAASalt Lake Bees · 16 IPFIP 2.78 → 2.98 (+0.20)K% 15.4% → 13.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 15.38% | — | ×0.880 | 13.54% |
| BB% (unintentional) /BF | 7.69% | — | ×1.050 | 8.08% |
| HR / BF /BF | 0.00% | ÷0.989 | ×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 98).
Result: FIP 2.78 → 2.98, 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 AAHarrisburg Senators · 6 IPFIP 1.41 → 1.73 (+0.32)K% 20.0% → 16.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 20.00% | — | ×0.810 | 16.20% |
| BB% (unintentional) /BF | 0.00% | — | ×1.100 | 0.00% |
| HR / BF /BF | 0.00% | ÷0.986 | ×1.200 | 0.00% |
Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 97).
Result: FIP 1.41 → 1.73, 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).