Adam Wolf
P Erie SeaWolves| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | 25 | AADET | 35 | 11 | 89 | 2.72 | 3.16 | 23.9% | 9.6% | — | K 19.4% · BB 10.6% · FIP 3.91 | |
| 2023 | 26 | AADET | 40 | 7 | 85 | 3.48 | 3.38 | 21.2% | 10.5% | — | K 17.2% · BB 11.5% · FIP 3.95 | |
| 2024 | 27 | MIX2 levels | 16 | 2 | 32 | 3.09 | 4.13 | 19.3% | 11.4% | — | K 15.2% · BB 8.7% · FIP 5.00 | |
| 2025 | 28 | No MLB games played | ||||||||||
| 2026 | 29 | No MLB games played | ||||||||||
| 2027PROJ | 30 | MLBDET | — | — | 0 | 4.47 | 4.47 | 21.5% | 9.1% | — | ||
| 2028PROJ31% MLB | 31 | MLBDET | 6 | 0 | 6 | 4.57 | 4.66 | 21.3% | 9.4% | -0.0 | ||
Grades · 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) | |||||||||||||||||||
| ▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far) | |||||||||||||||||||
| 2018 | 21 | ROK MLE | GCL Tigers West | 2 | 2 | 7 | 27 | 5 | 4 | 0 | 100% | 3.3 | 18.5% | 14.8% | 3.7% | 0.0% | 0.00 | 3.41 | — |
| 2018 | 21 | ROK RAW | GCL Tigers West | 2 | 2 | 7 | 27 | 5 | 4 | 0 | 100% | 3.3 | 18.5% | 14.8% | 3.7% | 0.0% | 0.00 | 3.40 | — |
| 2019 | 22 | A MLE | West Michigan Whitecaps | 17 | 17 | 78 | 368 | 70 | 30 | 4 | 100% | 4.6 | 14.1% | 9.6% | 4.5% | 1.6% | 6.23 | 4.00 | — |
| 2019 | 22 | A RAW | West Michigan Whitecaps | 17 | 17 | 78 | 368 | 70 | 30 | 4 | 100% | 4.6 | 19.0% | 8.2% | 10.9% | 1.1% | 6.23 | 3.13 | — |
| 2021 | 24 | MIX MLE | 2 levels | 23 | 21 | 107 | 447 | 108 | 31 | 12 | 91% | 4.7 | 18.4% | 8.0% | 10.4% | 3.9% | 4.12 | 4.72 | — |
| 2021 | 24 | MIX RAW | 2 levels | 23 | 21 | 107 | 447 | 108 | 31 | 12 | 91% | 4.7 | 24.2% | 6.9% | 17.2% | 2.7% | 4.12 | 3.41 | — |
| 2022 | 25 | AA MLE | Erie SeaWolves | 35 | 11 | 89 | 385 | 92 | 37 | 6 | 31% | 2.6 | 19.4% | 10.6% | 8.8% | 2.0% | 2.72 | 3.91 | — |
| 2022 | 25 | AA RAW | Erie SeaWolves | 35 | 11 | 89 | 385 | 92 | 37 | 6 | 31% | 2.6 | 23.9% | 9.6% | 14.3% | 1.6% | 2.72 | 3.16 | — |
| 2023 | 26 | AA MLE | Erie SeaWolves | 40 | 7 | 85 | 372 | 79 | 39 | 5 | 18% | 2.1 | 17.2% | 11.5% | 5.7% | 1.5% | 3.48 | 3.95 | — |
| 2023 | 26 | AA RAW | Erie SeaWolves | 40 | 7 | 85 | 372 | 79 | 39 | 5 | 18% | 2.1 | 21.2% | 10.5% | 10.8% | 1.3% | 3.48 | 3.38 | — |
| 2024 | 27 | MIX MLE | 2 levels | 16 | 2 | 32 | 140 | 27 | 16 | 3 | 12% | 2.0 | 15.2% | 8.7% | 6.5% | 3.8% | 3.09 | 5.00 | — |
| 2024 | 27 | MIX MLE | 2 levels | 16 | 2 | 32 | 140 | 27 | 16 | 3 | 12% | 2.0 | 15.2% | 8.7% | 6.5% | 3.8% | 3.09 | 5.00 | — |
| 2024 | 27 | MIX RAW | 2 levels | 16 | 2 | 32 | 140 | 27 | 16 | 3 | 12% | 2.0 | 19.3% | 11.4% | 7.9% | 2.1% | 3.09 | 4.13 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 30 | MLB | DET | — | — | 0 | — | — | — | — | — | — | 21.5% | 9.1% | 12.4% | 3.0% | 4.47 | 4.47 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 31 | MLB MLE | DET | 17 | 0 | 18 | 76 | 16 | 7 | 2 | 0% | 1.1 | 21.3% | 9.4% | 11.9% | 3.2% | 4.57 | 4.66 | -0.0 |
| 2028 | 31 | MLB CTX | DET | 6 | 0 | 6 | 25 | 5 | 2 | 1 | 0% | 1.0 | 21.3% | 9.4% | 11.9% | 3.2% | 4.57 | 4.66 | -0.0 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 5 | 0 | 6 | 24 | 5 | 2 | 1 | 0% | 1.1 | 21.3% | 9.4% | 11.9% | 3.2% | 4.57 | 4.28 | +0.0 | |
| / 200 IP | — | RAW | 190 | 0 | 200 | 844 | 179 | 71 | 36 | 0% | 1.1 | 21.3% | 9.4% | 11.9% | 3.2% | 4.57 | 4.28 | +0.6 | |
| Career | — | MLE | 133 | 60 | 398 | 1739 | 299 | 171 | 42 | 45% | 3.0 | 17.2% | 9.8% | 7.3% | 2.4% | 3.93 | 4.22 | -0.0 | |
| / 200 IP | — | MLE | 67 | 30 | 200 | 873 | 150 | 86 | 21 | 45% | 3.0 | 17.2% | 9.8% | 7.3% | 2.4% | 3.93 | 4.22 | -0.3 | |
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.
2024 AAErie SeaWolves · 24 IPFIP 4.15 → 5.00 (+0.85)K% 18.8% → 15.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.81% | — | ×0.810 | 15.24% |
| BB% (unintentional) /BF | 7.92% | — | ×1.100 | 8.71% |
| HR / BF /BF | 2.97% | ÷0.941 | ×1.200 | 3.79% |
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 88).
Result: FIP 4.15 → 5.00, 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).
2024 AAAToledo Mud Hens · 8 IPFIP 3.97 → 3.95 (−0.02)K% 20.5% → 17.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 20.51% | — | ×0.860 | 17.64% |
| BB% (unintentional) /BF | 20.51% | — | ×0.900 | 18.46% |
| HR / BF /BF | 0.00% | ÷0.792 | ×1.100 | 0.00% |
Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, 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 58).
Result: FIP 3.97 → 3.95, 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).
2023 AAErie SeaWolves · 85 IPFIP 3.37 → 3.95 (+0.57)K% 21.2% → 17.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 21.24% | — | ×0.810 | 17.20% |
| BB% (unintentional) /BF | 10.48% | — | ×1.100 | 11.53% |
| HR / BF /BF | 1.34% | ÷1.055 | ×1.200 | 1.53% |
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 111).
Result: FIP 3.37 → 3.95, 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).
2022 AAErie SeaWolves · 89 IPFIP 3.15 → 3.91 (+0.76)K% 23.9% → 19.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 23.90% | — | ×0.810 | 19.36% |
| BB% (unintentional) /BF | 9.61% | — | ×1.100 | 10.57% |
| HR / BF /BF | 1.56% | ÷0.926 | ×1.200 | 2.02% |
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 85).
Result: FIP 3.15 → 3.91, 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).
2021 A+West Michigan Whitecaps · 79 IPFIP 3.65 → 4.94 (+1.28)K% 22.0% → 17.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 22.02% | — | ×0.770 | 16.96% |
| BB% (unintentional) /BF | 7.44% | — | ×1.150 | 8.56% |
| HR / BF /BF | 2.68% | ÷0.841 | ×1.250 | 3.98% |
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 68).
Result: FIP 3.65 → 4.94, 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).
2021 ALakeland Flying Tigers · 28 IPFIP 2.68 → 4.05 (+1.37)K% 30.6% → 22.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 30.63% | — | ×0.740 | 22.67% |
| BB% (unintentional) /BF | 5.41% | — | ×1.180 | 6.38% |
| HR / BF /BF | 2.70% | ÷0.937 | ×1.300 | 3.75% |
Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 87).
Result: FIP 2.68 → 4.05, 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).
2019 AWest Michigan Whitecaps · 78 IPFIP 3.12 → 4.00 (+0.87)K% 19.0% → 14.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 19.02% | — | ×0.740 | 14.08% |
| BB% (unintentional) /BF | 8.15% | — | ×1.180 | 9.62% |
| HR / BF /BF | 1.09% | ÷0.895 | ×1.300 | 1.58% |
Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 79).
Result: FIP 3.12 → 4.00, 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 ROKGCL Tigers West · 7 IPFIP 3.41 → 4.38 (+0.97)K% 18.5% → 12.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.52% | — | ×0.680 | 12.59% |
| BB% (unintentional) /BF | 14.81% | — | ×1.250 | 18.52% |
| HR / BF /BF | 0.00% | ÷1.000 | ×1.400 | 0.00% |
Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).
Result: FIP 3.41 → 4.38, 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).