Tom Koehler
P GCL Pirates| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016 | 30 | MLBMIA | 33 | 33 | 177 | 4.33 | 4.35 | 19.0% | 9.8% | 2.2 | ||
| 2017 | 31 | MIX3 levels | 35 | 20 | 114 | 5.04 | 4.67 | 23.8% | 9.0% | 1.0 | K 22.4% · BB 9.0% · FIP 4.66 | |
| 2019 | 33 | MIX2 levels | 2 | 1 | 1 | 36.00 | 15.10 | 22.2% | 11.1% | — | K 22.2% · BB 11.1% · FIP 8.73 | |
| 2020 | 34 | No MLB games played | ||||||||||
| 2021 | 35 | No MLB games played | ||||||||||
| 2022 | 36 | No MLB games played | ||||||||||
| 2023 | 37 | No MLB games played | ||||||||||
| 2024 | 38 | No MLB games played | ||||||||||
| 2025 | 39 | No MLB games played | ||||||||||
| 2026 | 40 | No MLB games played | ||||||||||
Grades · 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) | |||||||||||||||||||
| 2012 | 26 | MLB MLE | Miami Marlins | 8 | 1 | 13 | 56 | 13 | 1 | 4 | 12% | 1.7 | 23.2% | 1.8% | 21.4% | 7.5% | 5.40 | 5.49 | -0.1 |
| 2012 | 26 | MLB RAW | Miami Marlins | 8 | 1 | 13 | 56 | 13 | 1 | 4 | 12% | 1.7 | 23.2% | 1.8% | 21.4% | 7.1% | 5.40 | 5.28 | -0.1 |
| 2013 | 27 | MLB MLE | Miami Marlins | 29 | 23 | 143 | 601 | 92 | 52 | 14 | 79% | 4.9 | 15.3% | 8.7% | 6.7% | 2.5% | 4.41 | 4.25 | +1.9 |
| 2013 | 27 | MLB RAW | Miami Marlins | 29 | 23 | 143 | 601 | 92 | 52 | 14 | 79% | 4.9 | 15.3% | 8.7% | 6.7% | 2.3% | 4.41 | 4.18 | +2.1 |
| 2014 | 28 | MLB MLE | Miami Marlins | 32 | 32 | 191 | 803 | 153 | 71 | 16 | 100% | 6.0 | 19.1% | 8.8% | 10.2% | 2.1% | 3.81 | 3.76 | +3.8 |
| 2014 | 28 | MLB RAW | Miami Marlins | 32 | 32 | 191 | 803 | 153 | 71 | 16 | 100% | 6.0 | 19.1% | 8.8% | 10.2% | 2.0% | 3.81 | 3.70 | +3.9 |
| 2015 | 29 | MLB MLE | Miami Marlins | 32 | 31 | 187 | 800 | 137 | 74 | 22 | 97% | 5.9 | 17.1% | 9.2% | 7.9% | 2.9% | 4.08 | 4.41 | +2.2 |
| 2015 | 29 | MLB RAW | Miami Marlins | 32 | 31 | 187 | 800 | 137 | 74 | 22 | 97% | 5.9 | 17.1% | 9.2% | 7.9% | 2.8% | 4.08 | 4.35 | +2.3 |
| 2016 | 30 | MLB MLE | Miami Marlins | 33 | 33 | 177 | 774 | 147 | 76 | 22 | 100% | 5.4 | 19.0% | 9.8% | 9.2% | 3.0% | 4.33 | 4.38 | +2.1 |
| 2016 | 30 | MLB RAW | Miami Marlins | 33 | 33 | 177 | 774 | 147 | 76 | 22 | 100% | 5.4 | 19.0% | 9.8% | 9.2% | 2.8% | 4.33 | 4.35 | +2.2 |
| 2017 | 31 | MIX MLE | 3 levels | 35 | 20 | 114 | 513 | 122 | 46 | 22 | 57% | 3.3 | 22.4% | 9.0% | 13.3% | 4.2% | 5.04 | 4.66 | +1.0 |
| 2017 | 31 | MIX RAW | 3 levels | 35 | 20 | 114 | 513 | 122 | 46 | 22 | 57% | 3.3 | 23.8% | 9.0% | 14.8% | 4.3% | 5.04 | 4.67 | +1.0 |
| 2019 | 33 | MIX MLE | 2 levels | 2 | 1 | 1 | 9 | 2 | 1 | 1 | 50% | 0.5 | 22.2% | 11.1% | 11.1% | 11.1% | 36.00 | 8.73 | — |
| 2019 | 33 | MIX RAW | 2 levels | 2 | 1 | 1 | 9 | 2 | 1 | 1 | 50% | 0.5 | 22.2% | 11.1% | 11.1% | 11.1% | 36.00 | 15.10 | — |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 161 | 133 | 784 | 3368 | 604 | 306 | 94 | 83% | 4.9 | 17.9% | 9.1% | 8.8% | 2.8% | 4.39 | 4.29 | +10.2 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 161 | 133 | 784 | 3368 | 604 | 306 | 94 | 83% | 4.9 | 17.9% | 9.1% | 8.8% | 2.8% | 4.39 | 4.27 | +10.4 | |
| / 200 IP | — | RAW | 41 | 34 | 200 | 859 | 154 | 78 | 24 | 83% | 4.9 | 17.9% | 9.1% | 8.8% | 2.8% | 4.39 | 4.27 | +2.7 | |
| Career | — | MLE | 171 | 141 | 827 | 3556 | 659 | 321 | 105 | 82% | 4.8 | 18.5% | 9.0% | 9.5% | 2.9% | 4.32 | 4.30 | +10.2 | |
| / 200 IP | — | MLE | 41 | 34 | 200 | 860 | 159 | 78 | 25 | 82% | 4.8 | 18.5% | 9.0% | 9.5% | 2.9% | 4.32 | 4.30 | +2.6 | |
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 AAANew Orleans Baby Cakes · 38 IPFIP 2.52 → 3.17 (+0.65)K% 34.6% → 30.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 34.59% | — | ×0.880 | 30.44% |
| BB% (unintentional) /BF | 7.55% | — | ×1.050 | 7.92% |
| HR / BF /BF | 2.52% | ÷0.928 | ×1.100 | 2.98% |
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 86).
Result: FIP 2.52 → 3.17, 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 A+Jupiter Hammerheads · 4 IPFIP 7.74 → 10.20 (+2.46)K% 25.0% → 19.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.00% | — | ×0.770 | 19.25% |
| BB% (unintentional) /BF | 10.00% | — | ×1.150 | 11.50% |
| HR / BF /BF | 10.00% | ÷0.944 | ×1.250 | 13.24% |
Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 89).
Result: FIP 7.74 → 10.20, 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).