Eduardo Herrera
P Brooklyn Cyclones| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023 | 23 | AKC | 34 | 0 | 52 | 5.02 | 3.47 | 31.0% | 14.2% | — | K 22.9% · BB 16.8% · FIP 4.66 | |
| 2024 | 24 | MIX3 levels | 31 | 0 | 47 | 3.09 | 2.91 | 33.0% | 14.0% | — | K 25.5% · BB 15.7% · FIP 4.13 | |
| 2025 | 25 | MIX3 levels | 30 | 0 | 37 | 2.21 | 3.56 | 21.7% | 18.0% | — | K 16.7% · BB 21.7% · FIP 4.44 | |
| 2026 | 26 | No MLB games played | ||||||||||
| 2027PROJ | 27 | MLBNYM | — | — | 0 | 5.33 | 5.33 | 21.1% | 16.5% | — | ||
| 2028PROJ37% MLB | 28 | MLBNYM | 6 | 0 | 6 | 5.28 | 5.31 | 21.2% | 15.9% | -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) | |||||||||||||||||||
| 2018 | 18 | ROK MLE | DSL D-backs 2 | 2 | 0 | 2 | 11 | 2 | 2 | 0 | 0% | 1.0 | 18.2% | 18.2% | 0.0% | 0.0% | 4.50 | 3.87 | — |
| 2018 | 18 | ROK RAW | DSL D-backs 2 | 2 | 0 | 2 | 11 | 2 | 2 | 0 | 0% | 1.0 | 18.2% | 18.2% | 0.0% | 0.0% | 4.50 | 4.10 | — |
| 2019 | 19 | ROK MLE | ACL D-backs | 3 | 0 | 4 | 13 | 11 | 0 | 0 | 0% | 1.2 | 84.6% | 0.0% | 84.6% | 0.0% | 0.00 | -4.05 | — |
| 2019 | 19 | ROK RAW | ACL D-backs | 3 | 0 | 4 | 13 | 11 | 0 | 0 | 0% | 1.2 | 84.6% | 0.0% | 84.6% | 0.0% | 0.00 | -2.90 | — |
| 2022 | 22 | MIX MLE | 2 levels | 2 | 0 | 3 | 13 | 6 | 2 | 0 | 0% | 1.5 | 46.2% | 15.4% | 30.8% | 0.0% | 0.00 | 1.15 | — |
| 2022 | 22 | MIX RAW | 2 levels | 2 | 0 | 3 | 13 | 6 | 2 | 0 | 0% | 1.5 | 46.2% | 15.4% | 30.8% | 0.0% | 0.00 | 1.10 | — |
| 2023 | 23 | A MLE | Columbia Fireflies | 34 | 0 | 52 | 239 | 74 | 34 | 5 | 0% | 1.5 | 22.9% | 16.8% | 6.1% | 2.5% | 5.02 | 4.66 | — |
| 2023 | 23 | A RAW | Columbia Fireflies | 34 | 0 | 52 | 239 | 74 | 34 | 5 | 0% | 1.5 | 31.0% | 14.2% | 16.7% | 2.1% | 5.02 | 3.47 | — |
| 2024 | 24 | MIX MLE | 3 levels | 31 | 0 | 47 | 200 | 66 | 28 | 3 | 0% | 1.5 | 25.5% | 15.7% | 9.9% | 2.2% | 3.09 | 4.13 | — |
| 2024 | 24 | MIX MLE | 3 levels | 31 | 0 | 47 | 200 | 66 | 28 | 3 | 0% | 1.5 | 25.5% | 15.7% | 9.9% | 2.2% | 3.09 | 4.13 | — |
| 2024 | 24 | MIX RAW | 3 levels | 31 | 0 | 47 | 200 | 66 | 28 | 3 | 0% | 1.5 | 33.0% | 14.0% | 19.0% | 1.5% | 3.09 | 2.91 | — |
| 2025 | 25 | MIX MLE | 3 levels | 30 | 0 | 37 | 161 | 35 | 29 | 0 | 0% | 1.2 | 16.7% | 21.7% | -5.0% | 0.0% | 2.21 | 4.44 | — |
| 2025 | 25 | MIX MLE | 3 levels | 30 | 0 | 37 | 161 | 35 | 29 | 0 | 0% | 1.2 | 16.7% | 21.7% | -5.0% | 0.0% | 2.21 | 4.44 | — |
| 2025 | 25 | MIX RAW | 3 levels | 30 | 0 | 37 | 161 | 35 | 29 | 0 | 0% | 1.2 | 21.7% | 18.0% | 3.7% | 0.0% | 2.21 | 3.56 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 27 | MLB | NYM | — | — | 0 | — | — | — | — | — | — | 21.1% | 16.5% | 4.6% | 2.8% | 5.33 | 5.33 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 28 | MLB MLE | NYM | 14 | 0 | 15 | 64 | 14 | 10 | 2 | 0% | 1.1 | 21.2% | 15.9% | 5.3% | 2.9% | 5.28 | 5.31 | -0.1 |
| 2028 | 28 | MLB CTX | NYM | 6 | 0 | 6 | 25 | 5 | 4 | 1 | 0% | 1.0 | 21.2% | 15.9% | 5.3% | 2.9% | 5.28 | 5.31 | -0.1 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 5 | 0 | 6 | 24 | 5 | 4 | 1 | 0% | 1.1 | 21.2% | 15.9% | 5.3% | 2.9% | 5.28 | 4.93 | -0.0 | |
| / 200 IP | — | RAW | 190 | 0 | 200 | 844 | 180 | 144 | 36 | 0% | 1.1 | 21.2% | 15.9% | 5.3% | 2.9% | 5.28 | 4.93 | -0.9 | |
| Career | — | MLE | 102 | 0 | 144 | 637 | 152 | 110 | 10 | 0% | 1.4 | 23.8% | 17.3% | 6.5% | 1.6% | 3.44 | 4.18 | -0.1 | |
| / 200 IP | — | MLE | 142 | 0 | 200 | 885 | 211 | 153 | 14 | 0% | 1.4 | 23.8% | 17.3% | 6.5% | 1.6% | 3.44 | 4.18 | -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 A+Brooklyn Cyclones · 31 IPFIP 3.66 → 4.44 (+0.78)K% 21.7% → 16.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 21.68% | — | ×0.770 | 16.69% |
| BB% (unintentional) /BF | 18.88% | — | ×1.150 | 21.71% |
| HR / BF /BF | 0.00% | ÷1.073 | ×1.250 | 0.00% |
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 115).
Result: FIP 3.66 → 4.44, 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 ASt. Lucie Mets · 25 IPFIP 3.18 → 4.77 (+1.59)K% 31.4% → 23.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 31.43% | — | ×0.740 | 23.26% |
| BB% (unintentional) /BF | 13.33% | — | ×1.180 | 15.73% |
| HR / BF /BF | 1.90% | ÷0.826 | ×1.300 | 3.00% |
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 65).
Result: FIP 3.18 → 4.77, 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+Brooklyn Cyclones · 19 IPFIP 2.37 → 3.30 (+0.93)K% 37.0% → 28.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 37.04% | — | ×0.770 | 28.52% |
| BB% (unintentional) /BF | 13.58% | — | ×1.150 | 15.62% |
| HR / BF /BF | 1.23% | ÷1.341 | ×1.250 | 1.15% |
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 168).
Result: FIP 2.37 → 3.30, 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).
2023 AColumbia Fireflies · 52 IPFIP 3.44 → 4.66 (+1.23)K% 31.0% → 22.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 30.96% | — | ×0.740 | 22.91% |
| BB% (unintentional) /BF | 14.23% | — | ×1.180 | 16.79% |
| HR / BF /BF | 2.09% | ÷1.089 | ×1.300 | 2.50% |
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 118).
Result: FIP 3.44 → 4.66, 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).