Yon Castro
P Tulsa Drillers| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | 23 | ANYY | 22 | 20 | 88 | 3.59 | 3.44 | 28.5% | 8.6% | — | K 21.1% · BB 10.1% · FIP 4.72 | |
| 2023 | 24 | A+LAD | 12 | 12 | 48 | 2.27 | 2.89 | 25.1% | 8.0% | — | K 19.4% · BB 9.2% · FIP 3.79 | |
| 2024 | 25 | MIX2 levels | 14 | 6 | 32 | 7.31 | 4.38 | 19.2% | 13.2% | — | K 15.3% · BB 14.7% · FIP 5.05 | |
| 2025 | 26 | No MLB games played | ||||||||||
| 2026 | 27 | No MLB games played | ||||||||||
| 2027PROJ | 28 | MLBLAD | — | — | 0 | 4.75 | 4.75 | 21.0% | 11.1% | — | ||
| 2028PROJ31% MLB | 29 | MLBLAD | 1 | 1 | 6 | 4.78 | 4.84 | 21.0% | 11.1% | 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 | 19 | ROK MLE | DSL Yankees | 14 | 5 | 52 | 250 | 44 | 19 | 3 | 36% | 3.7 | 12.0% | 9.5% | 2.5% | 1.7% | 3.81 | 4.21 | — |
| 2018 | 19 | ROK RAW | DSL Yankees | 14 | 5 | 52 | 250 | 44 | 19 | 3 | 36% | 3.7 | 17.6% | 7.6% | 10.0% | 1.2% | 3.81 | 3.25 | — |
| 2019 | 20 | ROK MLE | GCL Yankees East | 15 | 0 | 31 | 139 | 31 | 16 | 3 | 0% | 2.1 | 15.2% | 14.4% | 0.8% | 3.0% | 5.23 | 5.30 | — |
| 2019 | 20 | ROK RAW | GCL Yankees East | 15 | 0 | 31 | 139 | 31 | 16 | 3 | 0% | 2.1 | 22.3% | 11.5% | 10.8% | 2.2% | 5.23 | 3.91 | — |
| 2021 | 22 | MIX MLE | 2 levels | 11 | 5 | 27 | 116 | 35 | 11 | 1 | 45% | 2.4 | 20.5% | 8.5% | 12.0% | 1.4% | 2.36 | 3.20 | — |
| 2021 | 22 | MIX RAW | 2 levels | 11 | 5 | 27 | 116 | 35 | 11 | 1 | 45% | 2.4 | 30.2% | 9.5% | 20.7% | 0.9% | 2.36 | 2.20 | — |
| 2022 | 23 | A MLE | Tampa Tarpons | 22 | 20 | 88 | 362 | 103 | 31 | 11 | 91% | 4.0 | 21.1% | 10.1% | 11.0% | 3.9% | 3.59 | 4.72 | — |
| 2022 | 23 | A RAW | Tampa Tarpons | 22 | 20 | 88 | 362 | 103 | 31 | 11 | 91% | 4.0 | 28.5% | 8.6% | 19.9% | 3.0% | 3.59 | 3.44 | — |
| 2023 | 24 | A+ MLE | Great Lakes Loons | 12 | 12 | 48 | 187 | 47 | 15 | 3 | 100% | 4.0 | 19.4% | 9.2% | 10.1% | 2.1% | 2.27 | 3.79 | — |
| 2023 | 24 | A+ RAW | Great Lakes Loons | 12 | 12 | 48 | 187 | 47 | 15 | 3 | 100% | 4.0 | 25.1% | 8.0% | 17.1% | 1.6% | 2.27 | 2.89 | — |
| 2024 | 25 | MIX MLE | 2 levels | 14 | 6 | 32 | 151 | 29 | 20 | 3 | 43% | 2.3 | 15.3% | 14.7% | 0.5% | 2.5% | 7.31 | 5.05 | — |
| 2024 | 25 | MIX MLE | 2 levels | 14 | 6 | 32 | 151 | 29 | 20 | 3 | 43% | 2.3 | 15.3% | 14.7% | 0.5% | 2.5% | 7.31 | 5.05 | — |
| 2024 | 25 | MIX RAW | 2 levels | 14 | 6 | 32 | 151 | 29 | 20 | 3 | 43% | 2.3 | 19.2% | 13.2% | 6.0% | 2.0% | 7.31 | 4.38 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 28 | MLB | LAD | — | — | 0 | — | — | — | — | — | — | 21.0% | 11.1% | 9.9% | 3.0% | 4.75 | 4.75 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 29 | MLB MLE | LAD | 3 | 3 | 20 | 84 | 18 | 9 | 3 | 100% | 6.7 | 21.0% | 11.1% | 9.9% | 3.1% | 4.78 | 4.84 | +0.1 |
| 2028 | 29 | MLB CTX | LAD | 1 | 1 | 6 | 25 | 5 | 3 | 1 | 100% | 6.0 | 21.0% | 11.1% | 9.9% | 3.1% | 4.78 | 4.84 | +0.0 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 1 | 1 | 6 | 26 | 6 | 3 | 1 | 100% | 6.3 | 21.0% | 11.1% | 9.9% | 3.1% | 4.78 | 4.46 | +0.1 | |
| / 200 IP | — | RAW | 33 | 33 | 200 | 844 | 192 | 96 | 32 | 100% | 6.0 | 21.0% | 11.1% | 9.9% | 3.1% | 4.78 | 4.46 | +2.2 | |
| Career | — | MLE | 88 | 48 | 277 | 1205 | 210 | 130 | 32 | 55% | 3.1 | 17.4% | 10.8% | 6.7% | 2.6% | 3.90 | 4.43 | +0.1 | |
| / 200 IP | — | MLE | 64 | 35 | 200 | 870 | 152 | 94 | 23 | 55% | 3.1 | 17.4% | 10.8% | 6.7% | 2.6% | 3.90 | 4.43 | +1.3 | |
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 AATulsa Drillers · 20 IPFIP 4.59 → 5.22 (+0.63)K% 18.2% → 14.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.18% | — | ×0.810 | 14.73% |
| BB% (unintentional) /BF | 15.15% | — | ×1.100 | 16.67% |
| HR / BF /BF | 2.02% | ÷1.063 | ×1.200 | 2.28% |
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 113).
Result: FIP 4.59 → 5.22, 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 A+Winston-Salem Dash · 12 IPFIP 3.59 → 4.74 (+1.15)K% 21.2% → 16.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 21.15% | — | ×0.770 | 16.29% |
| BB% (unintentional) /BF | 9.62% | — | ×1.150 | 11.06% |
| HR / BF /BF | 1.92% | ÷0.817 | ×1.250 | 2.94% |
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 63).
Result: FIP 3.59 → 4.74, 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+Great Lakes Loons · 48 IPFIP 2.87 → 3.79 (+0.92)K% 25.1% → 19.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.13% | — | ×0.770 | 19.35% |
| BB% (unintentional) /BF | 8.02% | — | ×1.150 | 9.22% |
| HR / BF /BF | 1.60% | ÷0.951 | ×1.250 | 2.11% |
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 90).
Result: FIP 2.87 → 3.79, 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 ATampa Tarpons · 88 IPFIP 3.45 → 4.72 (+1.27)K% 28.5% → 21.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 28.45% | — | ×0.740 | 21.06% |
| BB% (unintentional) /BF | 8.56% | — | ×1.180 | 10.10% |
| HR / BF /BF | 3.04% | ÷1.026 | ×1.300 | 3.85% |
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 105).
Result: FIP 3.45 → 4.72, 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 ROKFCL Yankees · 24 IPFIP 1.95 → 3.20 (+1.25)K% 30.1% → 20.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 30.10% | — | ×0.680 | 20.47% |
| BB% (unintentional) /BF | 6.80% | — | ×1.250 | 8.50% |
| HR / BF /BF | 0.97% | ÷0.989 | ×1.400 | 1.37% |
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 98).
Result: FIP 1.95 → 3.20, 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).
2019 ROKGCL Yankees East · 31 IPFIP 3.86 → 5.30 (+1.44)K% 22.3% → 15.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 22.30% | — | ×0.680 | 15.17% |
| BB% (unintentional) /BF | 11.51% | — | ×1.250 | 14.39% |
| HR / BF /BF | 2.16% | ÷1.000 | ×1.400 | 3.02% |
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 3.86 → 5.30, 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 ROKDSL Yankees · 52 IPFIP 3.24 → 4.21 (+0.98)K% 17.6% → 12.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 17.60% | — | ×0.680 | 11.97% |
| BB% (unintentional) /BF | 7.60% | — | ×1.250 | 9.50% |
| HR / BF /BF | 1.20% | ÷1.000 | ×1.400 | 1.68% |
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 3.24 → 4.21, 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).