Gabriel Agostini
P FCL Nationals| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023 | 19 | MIX2 levels | 12 | 7 | 46 | 4.34 | 3.78 | 19.6% | 9.5% | — | K 13.5% · BB 12.4% · FIP 5.14 | |
| 2024 | 20 | AWSH | 1 | 1 | 2 | 34.71 | 7.39 | 5.9% | 23.5% | — | K 5.9% · BB 23.5% · FIP 5.58 | |
| 2025 | 21 | ROKWSH | 7 | 3 | 12 | 3.09 | 4.81 | 14.0% | 21.1% | — | K 9.5% · BB 26.3% · FIP 5.63 | |
| 2026 | 22 | No MLB games played | ||||||||||
| 2027PROJ | 23 | MLBWSH | — | — | 0 | 5.23 | 5.23 | 22.0% | 15.6% | — | ||
| 2028PROJ43% MLB | 24 | MLBWSH | 7 | 0 | 7 | 5.00 | 4.90 | 22.7% | 13.6% | -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) | |||||||||||||||||||
| 2021 | 17 | ROK MLE | DSL Nationals | 15 | 4 | 32 | 129 | 42 | 6 | 0 | 27% | 2.2 | 22.1% | 5.8% | 16.3% | 0.0% | 1.11 | 1.97 | — |
| 2021 | 17 | ROK RAW | DSL Nationals | 15 | 4 | 32 | 129 | 42 | 6 | 0 | 27% | 2.2 | 32.6% | 4.7% | 27.9% | 0.0% | 1.11 | 1.06 | — |
| 2022 | 18 | ROK MLE | FCL Nationals | 11 | 7 | 35 | 158 | 34 | 19 | 2 | 64% | 3.2 | 14.6% | 15.0% | -0.4% | 1.9% | 3.63 | 4.84 | — |
| 2022 | 18 | ROK RAW | FCL Nationals | 11 | 7 | 35 | 158 | 34 | 19 | 2 | 64% | 3.2 | 21.5% | 12.0% | 9.5% | 1.3% | 3.63 | 3.53 | — |
| 2023 | 19 | MIX MLE | 2 levels | 12 | 7 | 46 | 199 | 39 | 19 | 4 | 58% | 3.8 | 13.5% | 12.4% | 1.1% | 2.9% | 4.34 | 5.14 | — |
| 2023 | 19 | MIX RAW | 2 levels | 12 | 7 | 46 | 199 | 39 | 19 | 4 | 58% | 3.8 | 19.6% | 9.5% | 10.1% | 2.0% | 4.34 | 3.78 | — |
| 2024 | 20 | A MLE | Fredericksburg Nationals | 1 | 1 | 2 | 17 | 1 | 4 | 0 | 100% | 2.3 | 5.9% | 23.5% | -17.6% | 0.0% | 34.71 | 5.58 | — |
| 2024 | 20 | A MLE | Fredericksburg Nationals | 1 | 1 | 2 | 17 | 1 | 4 | 0 | 100% | 2.3 | 5.9% | 23.5% | -17.6% | 0.0% | 34.71 | 5.58 | — |
| 2024 | 20 | A RAW | Fredericksburg Nationals | 1 | 1 | 2 | 17 | 1 | 4 | 0 | 100% | 2.3 | 5.9% | 23.5% | -17.6% | 0.0% | 34.71 | 7.39 | — |
| 2025 | 21 | ROK MLE | FCL Nationals | 7 | 3 | 12 | 57 | 8 | 12 | 0 | 43% | 1.7 | 9.5% | 26.3% | -16.8% | 0.0% | 3.09 | 5.63 | — |
| 2025 | 21 | ROK MLE | FCL Nationals | 7 | 3 | 12 | 57 | 8 | 12 | 0 | 43% | 1.7 | 9.5% | 26.3% | -16.8% | 0.0% | 3.09 | 5.63 | — |
| 2025 | 21 | ROK RAW | FCL Nationals | 7 | 3 | 12 | 57 | 8 | 12 | 0 | 43% | 1.7 | 14.0% | 21.1% | -7.0% | 0.0% | 3.09 | 4.81 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 23 | MLB | WSH | — | — | 0 | — | — | — | — | — | — | 22.0% | 15.6% | 6.4% | 3.0% | 5.23 | 5.23 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 24 | MLB MLE | WSH | 15 | 0 | 16 | 66 | 15 | 9 | 2 | 0% | 1.0 | 22.7% | 13.6% | 9.1% | 2.9% | 5.00 | 4.90 | -0.1 |
| 2028 | 24 | MLB CTX | WSH | 7 | 0 | 7 | 30 | 7 | 4 | 1 | 0% | 1.0 | 22.7% | 13.6% | 9.1% | 2.9% | 5.00 | 4.90 | -0.0 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 6 | 0 | 7 | 28 | 6 | 4 | 1 | 0% | 1.1 | 22.7% | 13.6% | 9.1% | 2.9% | 5.00 | 4.52 | +0.0 | |
| / 200 IP | — | RAW | 190 | 0 | 200 | 844 | 180 | 120 | 30 | 0% | 1.1 | 22.7% | 13.6% | 9.1% | 2.9% | 5.00 | 4.52 | +0.1 | |
| Career | — | MLE | 46 | 22 | 127 | 560 | 85 | 75 | 9 | 48% | 2.8 | 15.2% | 13.4% | 1.8% | 1.6% | 3.77 | 4.39 | -0.1 | |
| / 200 IP | — | MLE | 73 | 35 | 200 | 884 | 134 | 118 | 14 | 48% | 2.8 | 15.2% | 13.4% | 1.8% | 1.6% | 3.77 | 4.39 | -0.8 | |
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 Nationals · 12 IPFIP 4.58 → 5.63 (+1.05)K% 14.0% → 9.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 14.04% | — | ×0.680 | 9.54% |
| BB% (unintentional) /BF | 21.05% | — | ×1.250 | 26.32% |
| HR / BF /BF | 0.00% | ÷1.328 | ×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 166).
Result: FIP 4.58 → 5.63, 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 ROKFCL Nationals · 44 IPFIP 3.83 → 5.14 (+1.31)K% 19.9% → 13.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 19.90% | — | ×0.680 | 13.53% |
| BB% (unintentional) /BF | 9.95% | — | ×1.250 | 12.43% |
| HR / BF /BF | 2.09% | ÷1.000 | ×1.400 | 2.93% |
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 3.83 → 5.14, 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 ROKFCL Nationals · 35 IPFIP 3.50 → 4.84 (+1.34)K% 21.5% → 14.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 21.52% | — | ×0.680 | 14.63% |
| BB% (unintentional) /BF | 12.03% | — | ×1.250 | 15.03% |
| HR / BF /BF | 1.27% | ÷0.911 | ×1.400 | 1.95% |
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 82).
Result: FIP 3.50 → 4.84, 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 ROKDSL Nationals · 32 IPFIP 0.94 → 1.97 (+1.03)K% 32.6% → 22.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 32.56% | — | ×0.680 | 22.14% |
| BB% (unintentional) /BF | 4.65% | — | ×1.250 | 5.81% |
| HR / BF /BF | 0.00% | ÷0.862 | ×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 72).
Result: FIP 0.94 → 1.97, 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).