Mason Adams
P Albuquerque Isotopes| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023 | 23 | MIX3 levels | 23 | 13 | 109 | 3.14 | 2.56 | 27.2% | 6.3% | — | K 20.4% · BB 7.3% · FIP 3.67 |
| 2024 | 24 | MIX2 levels | 23 | 22 | 120 | 2.92 | 3.05 | 22.3% | 5.7% | — | K 18.2% · BB 5.9% · FIP 3.72 |
| 2026 | 26 | MIX4 levels | 23 | 21 | 91 | 3.66 | 3.77 | 24.5% | 9.1% | 1.8 | K 22.6% · BB 9.3% · FIP 3.83 |
| 2027PROJ | 27 | MLBCOL | 17 | 17 | 102 | 4.28 | 4.37 | 21.3% | 7.5% | 1.2 | |
| 2028PROJ81% MLB | 28 | MLBCOL | 16 | 16 | 96 | 4.65 | 4.72 | 21.2% | 7.7% | 1.1 | |
| 2029PROJ86% MLB | 29 | MLBCOL | 15 | 15 | 90 | 4.78 | 4.87 | 20.7% | 7.9% | 0.8 |
Statcast · Contract
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) | |||||||||||||||||||
| 2022 | 22 | ROK MLE | ACL White Sox | 3 | 0 | 4 | 15 | 4 | 1 | 0 | 0% | 1.2 | 26.7% | 6.7% | 20.0% | 0.0% | 7.36 | 1.69 | — |
| 2022 | 22 | ROK RAW | ACL White Sox | 3 | 0 | 4 | 15 | 4 | 1 | 0 | 0% | 1.2 | 26.7% | 6.7% | 20.0% | 0.0% | 7.36 | 1.74 | — |
| 2023 | 23 | MIX MLE | 3 levels | 23 | 13 | 109 | 460 | 125 | 29 | 8 | 57% | 4.7 | 20.4% | 7.3% | 13.1% | 2.5% | 3.14 | 3.67 | — |
| 2023 | 23 | MIX RAW | 3 levels | 23 | 13 | 109 | 460 | 125 | 29 | 8 | 57% | 4.7 | 27.2% | 6.3% | 20.9% | 1.7% | 3.14 | 2.56 | — |
| 2024 | 24 | MIX MLE | 2 levels | 23 | 22 | 120 | 493 | 110 | 28 | 10 | 96% | 5.2 | 18.2% | 5.9% | 12.3% | 2.6% | 2.92 | 3.72 | — |
| 2024 | 24 | MIX MLE | 2 levels | 23 | 22 | 120 | 493 | 110 | 28 | 10 | 96% | 5.2 | 18.2% | 5.9% | 12.3% | 2.6% | 2.92 | 3.72 | — |
| 2024 | 24 | MIX RAW | 2 levels | 23 | 22 | 120 | 493 | 110 | 28 | 10 | 96% | 5.2 | 22.3% | 5.7% | 16.6% | 2.0% | 2.92 | 3.05 | — |
| 2026 | 26 | MIX MLE | 4 levels | 23 | 21 | 91 | 375 | 92 | 34 | 11 | 91% | 4.0 | 22.6% | 9.3% | 13.4% | 2.7% | 3.66 | 3.83 | +1.7 |
| 2026 | 26 | MIX MLE | 4 levels | 23 | 21 | 91 | 375 | 92 | 34 | 11 | 91% | 4.0 | 22.6% | 9.3% | 13.4% | 2.7% | 3.66 | 3.83 | +1.7 |
| 2026 | 26 | MIX RAW | 4 levels | 23 | 21 | 91 | 375 | 92 | 34 | 11 | 91% | 4.0 | 24.5% | 9.1% | 15.5% | 2.9% | 3.66 | 3.77 | +1.8 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 6 | 6 | 29 | 124 | 31 | 12 | 6 | 100% | 4.8 | 25.0% | 9.7% | 15.3% | 4.8% | 4.03 | 4.89 | +0.2 | ||
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 27 | MLB | COL | 17 | 17 | 102 | 431 | 92 | 32 | 14 | 100% | 6.0 | 21.3% | 7.5% | 13.8% | 3.2% | 4.28 | 4.37 | +1.2 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 28 | MLB MLE | COL | 20 | 20 | 119 | 502 | 106 | 38 | 16 | 100% | 5.9 | 21.2% | 7.7% | 13.6% | 3.3% | 4.38 | 4.45 | +1.3 |
| 2029 | 29 | MLB MLE | COL | 17 | 17 | 105 | 443 | 92 | 35 | 15 | 100% | 6.2 | 20.7% | 7.9% | 12.8% | 3.4% | 4.50 | 4.59 | +1.0 |
| 2030 | 30 | MLB MLE | COL | 16 | 16 | 93 | 394 | 79 | 32 | 14 | 100% | 5.8 | 20.1% | 8.2% | 11.9% | 3.6% | 4.66 | 4.78 | +0.7 |
| 2031 | 31 | MLB MLE | COL | 14 | 14 | 82 | 347 | 67 | 30 | 13 | 100% | 5.9 | 19.4% | 8.5% | 10.8% | 3.8% | 4.86 | 5.00 | +0.4 |
| 2032 | 32 | MLB MLE | COL | 12 | 12 | 71 | 301 | 56 | 27 | 12 | 100% | 5.9 | 18.6% | 8.9% | 9.6% | 4.0% | 5.10 | 5.25 | +0.1 |
| 2028 | 28 | MLB CTX | COL | 16 | 16 | 96 | 405 | 86 | 31 | 15 | 100% | 6.0 | 21.2% | 7.7% | 13.6% | 3.8% | 4.65 | 4.72 | +1.1 |
| 2029 | 29 | MLB CTX | COL | 15 | 15 | 90 | 380 | 79 | 30 | 15 | 100% | 6.0 | 20.7% | 7.9% | 12.8% | 3.9% | 4.78 | 4.87 | +0.8 |
| 2030 | 30 | MLB CTX | COL | 14 | 14 | 83 | 350 | 70 | 29 | 14 | 100% | 5.9 | 20.1% | 8.2% | 11.9% | 4.1% | 4.96 | 5.08 | +0.6 |
| 2031 | 31 | MLB CTX | COL | 12 | 12 | 75 | 317 | 61 | 27 | 14 | 100% | 6.2 | 19.4% | 8.5% | 10.8% | 4.4% | 5.18 | 5.32 | +0.3 |
| 2032 | 32 | MLB CTX | COL | 11 | 11 | 65 | 274 | 51 | 24 | 13 | 100% | 5.9 | 18.6% | 8.9% | 9.6% | 4.6% | 5.44 | 5.59 | +0.1 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 74 | 74 | 438 | 1850 | 378 | 153 | 77 | 100% | 5.9 | 20.4% | 8.3% | 12.1% | 4.2% | 4.90 | 4.71 | +3.5 | |
| / 200 IP | — | RAW | 34 | 34 | 200 | 845 | 173 | 70 | 35 | 100% | 5.9 | 20.4% | 8.3% | 12.1% | 4.2% | 4.90 | 4.71 | +1.6 | |
| Career | — | MLE | 72 | 56 | 324 | 1343 | 272 | 98 | 34 | 78% | 4.5 | 20.3% | 7.3% | 13.0% | 2.5% | 3.25 | 3.71 | +3.6 | |
| / 200 IP | — | MLE | 44 | 35 | 200 | 829 | 168 | 61 | 21 | 78% | 4.5 | 20.3% | 7.3% | 13.0% | 2.5% | 3.25 | 3.71 | +1.5 | |
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.
2026 AAAAlbuquerque Isotopes · 49 IPFIP 3.12 → 3.37 (+0.25)K% 24.6% → 21.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 24.62% | — | ×0.860 | 21.18% |
| BB% (unintentional) /BF | 10.05% | — | ×0.900 | 9.05% |
| HR / BF /BF | 1.51% | ÷1.000 | ×1.100 | 1.66% |
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 100).
Result: FIP 3.12 → 3.37, 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).
2026 A+Winston-Salem Dash · 11 IPFIP 4.06 → 5.26 (+1.20)K% 25.0% → 19.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.00% | — | ×0.770 | 19.25% |
| BB% (unintentional) /BF | 4.55% | — | ×1.150 | 5.23% |
| HR / BF /BF | 4.55% | ÷1.000 | ×1.250 | 5.68% |
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 100).
Result: FIP 4.06 → 5.26, 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 AABirmingham Barons · 103 IPFIP 2.81 → 3.61 (+0.79)K% 24.6% → 19.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 24.57% | — | ×0.810 | 19.91% |
| BB% (unintentional) /BF | 4.62% | — | ×1.100 | 5.09% |
| HR / BF /BF | 2.19% | ÷0.935 | ×1.200 | 2.81% |
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 87).
Result: FIP 2.81 → 3.61, 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 AAACharlotte Knights · 17 IPFIP 4.23 → 4.28 (+0.05)K% 11.0% → 9.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 10.98% | — | ×0.860 | 9.44% |
| BB% (unintentional) /BF | 10.98% | — | ×0.900 | 9.88% |
| HR / BF /BF | 1.22% | ÷1.016 | ×1.100 | 1.32% |
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 103).
Result: FIP 4.23 → 4.28, 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 AKannapolis Cannon Ballers · 78 IPFIP 2.38 → 3.64 (+1.26)K% 28.5% → 21.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 28.48% | — | ×0.740 | 21.08% |
| BB% (unintentional) /BF | 5.45% | — | ×1.180 | 6.44% |
| HR / BF /BF | 1.82% | ÷0.861 | ×1.300 | 2.75% |
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 72).
Result: FIP 2.38 → 3.64, 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 AABirmingham Barons · 13 IPFIP 2.97 → 3.45 (+0.48)K% 20.0% → 16.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 20.00% | — | ×0.810 | 16.20% |
| BB% (unintentional) /BF | 12.31% | — | ×1.100 | 13.54% |
| HR / BF /BF | 0.00% | ÷1.013 | ×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 103).
Result: FIP 2.97 → 3.45, 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 A+Winston-Salem Dash · 18 IPFIP 3.04 → 4.05 (+1.01)K% 27.7% → 21.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 27.69% | — | ×0.770 | 21.32% |
| BB% (unintentional) /BF | 4.62% | — | ×1.150 | 5.31% |
| HR / BF /BF | 3.08% | ÷1.017 | ×1.250 | 3.78% |
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 103).
Result: FIP 3.04 → 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).
Career Comps
Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.
| Player | 162s | IP/yr | K% | BB% | HR/9 | ERA |
|---|---|---|---|---|---|---|
| OGILVIE CAREER PROJECTION | 3.2 | 91 | 20.6% | 8.1% | 1.37 | 4.54 |
| Mark Leiter ('90-'01, 5 WAR*) | 5.9 | 118 | 20.7%* | 7.8%* | 1.36* | 4.61* |
| Chris Narveson ('16) | 2.2 | 109 | 19.4% | 8.6% | 1.20 | 4.71 |
| Chase Anderson ('24) | 5.5 | 101 | 19.7% | 8.1% | 1.48 | 4.41 |
| Greg Harris ('88-'95, 10 WAR*) | 4.5 | 130 | 19.7%* | 7.9%* | 1.40* | 4.10* |
| Alec Mills ('23) | 1.3 | 86 | 19.3% | 7.2% | 1.50 | 5.00 |
| Jackie Brown ('70-'77, 1 WAR*) | 4.5 | 128 | 19.7%* | 8.9%* | 1.21* | 4.93* |