Hansel Rosario
P FCL Yankees| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 21 | ROKNYY | 13 | 3 | 34 | 6.42 | 4.11 | 28.2% | 17.8% | — | K 19.2% · BB 22.2% · FIP 5.54 |
| 2025 | 22 | ROKNYY | 13 | 0 | 19 | 7.91 | 6.67 | 24.0% | 29.8% | — | K 16.3% · BB 37.3% · FIP 7.16 |
| 2027PROJ | 24 | MLBNYY | — | — | 0 | 5.79 | 5.79 | 21.9% | 20.0% | — | |
| 2028PROJ43% MLB | 25 | MLBNYY | 6 | 0 | 6 | 5.47 | 5.35 | 22.5% | 16.9% | -0.1 |
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) | |||||||||||||||||||
| 2022 | 19 | ROK MLE | DSL NYY Bombers | 11 | 4 | 25 | 121 | 30 | 31 | 1 | 36% | 2.3 | 16.9% | 32.0% | -15.2% | 0.7% | 5.40 | 6.13 | — |
| 2022 | 19 | ROK RAW | DSL NYY Bombers | 11 | 4 | 25 | 121 | 30 | 31 | 1 | 36% | 2.3 | 24.8% | 25.6% | -0.8% | 0.8% | 5.40 | 4.94 | — |
| 2023 | 20 | ROK MLE | DSL NYY Bombers | 12 | 0 | 29 | 149 | 26 | 23 | 2 | 0% | 2.4 | 11.9% | 19.3% | -7.4% | 1.3% | 8.16 | 5.25 | — |
| 2023 | 20 | ROK RAW | DSL NYY Bombers | 12 | 0 | 29 | 149 | 26 | 23 | 2 | 0% | 2.4 | 17.4% | 15.4% | 2.0% | 1.3% | 8.16 | 4.60 | — |
| 2024 | 21 | ROK MLE | FCL Yankees | 13 | 3 | 34 | 163 | 46 | 29 | 3 | 23% | 2.6 | 19.2% | 22.2% | -3.0% | 2.3% | 6.42 | 5.54 | — |
| 2024 | 21 | ROK MLE | FCL Yankees | 13 | 3 | 34 | 163 | 46 | 29 | 3 | 23% | 2.6 | 19.2% | 22.2% | -3.0% | 2.3% | 6.42 | 5.54 | — |
| 2024 | 21 | ROK RAW | FCL Yankees | 13 | 3 | 34 | 163 | 46 | 29 | 3 | 23% | 2.6 | 28.2% | 17.8% | 10.4% | 1.8% | 6.42 | 4.11 | — |
| 2025 | 22 | ROK MLE | FCL Yankees | 13 | 0 | 19 | 104 | 25 | 31 | 2 | 0% | 1.5 | 16.3% | 37.3% | -20.9% | 1.3% | 7.91 | 7.16 | — |
| 2025 | 22 | ROK MLE | FCL Yankees | 13 | 0 | 19 | 104 | 25 | 31 | 2 | 0% | 1.5 | 16.3% | 37.3% | -20.9% | 1.3% | 7.91 | 7.16 | — |
| 2025 | 22 | ROK RAW | FCL Yankees | 13 | 0 | 19 | 104 | 25 | 31 | 2 | 0% | 1.5 | 24.0% | 29.8% | -5.8% | 1.9% | 7.91 | 6.67 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 24 | MLB | NYY | — | — | 0 | — | — | — | — | — | — | 21.9% | 20.0% | 1.9% | 3.0% | 5.79 | 5.79 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 25 | MLB MLE | NYY | 14 | 0 | 15 | 62 | 14 | 10 | 2 | 0% | 1.1 | 22.5% | 16.9% | 5.5% | 3.0% | 5.47 | 5.35 | -0.1 |
| 2028 | 25 | MLB CTX | NYY | 6 | 0 | 6 | 25 | 6 | 4 | 1 | 0% | 1.0 | 22.5% | 16.9% | 5.5% | 3.0% | 5.47 | 5.35 | -0.1 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 6 | 0 | 6 | 27 | 6 | 4 | 1 | 0% | 1.0 | 22.5% | 16.9% | 5.5% | 3.0% | 5.47 | 4.97 | -0.0 | |
| / 200 IP | — | RAW | 190 | 0 | 200 | 844 | 191 | 127 | 32 | 0% | 1.1 | 22.5% | 16.9% | 5.5% | 3.0% | 5.47 | 4.97 | -1.0 | |
| Career | — | MLE | 49 | 7 | 107 | 537 | 86 | 142 | 8 | 14% | 2.2 | 16.1% | 26.5% | -10.5% | 1.5% | 6.92 | 5.90 | -0.1 | |
| / 200 IP | — | MLE | 92 | 13 | 200 | 1007 | 162 | 267 | 15 | 14% | 2.2 | 16.1% | 26.5% | -10.5% | 1.5% | 6.92 | 5.90 | -1.8 | |
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.
2025 ROKFCL Yankees · 19 IPFIP 5.90 → 7.16 (+1.26)K% 24.0% → 16.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 24.04% | — | ×0.680 | 16.35% |
| BB% (unintentional) /BF | 29.81% | — | ×1.250 | 37.26% |
| HR / BF /BF | 1.92% | ÷2.059 | ×1.400 | 1.31% |
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 312).
Result: FIP 5.90 → 7.16, 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 ROKFCL Yankees · 34 IPFIP 3.98 → 5.54 (+1.55)K% 28.2% → 19.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 28.22% | — | ×0.680 | 19.19% |
| BB% (unintentional) /BF | 17.79% | — | ×1.250 | 22.24% |
| HR / BF /BF | 1.84% | ÷1.142 | ×1.400 | 2.26% |
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 128).
Result: FIP 3.98 → 5.54, 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 ROKDSL NYY Bombers · 29 IPFIP 4.32 → 5.25 (+0.93)K% 17.4% → 11.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 17.45% | — | ×0.680 | 11.87% |
| BB% (unintentional) /BF | 15.44% | — | ×1.250 | 19.30% |
| HR / BF /BF | 1.34% | ÷1.463 | ×1.400 | 1.28% |
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 193).
Result: FIP 4.32 → 5.25, 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 ROKDSL NYY Bombers · 25 IPFIP 4.71 → 6.13 (+1.42)K% 24.8% → 16.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 24.79% | — | ×0.680 | 16.86% |
| BB% (unintentional) /BF | 25.62% | — | ×1.250 | 32.02% |
| HR / BF /BF | 0.83% | ÷1.608 | ×1.400 | 0.72% |
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 222).
Result: FIP 4.71 → 6.13, 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).