Eddy Peralta
P DSL Rangers Blue| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 22 | ROKDSL Rangers R… | 11 | 0 | 32 | 6.68 | 2.70 | 22.0% | 11.9% | — | K 15.0% · BB 14.9% · FIP 3.73 |
| 2026 | 23 | ROKDSL Rangers B… | 18 | 0 | 32 | 5.62 | 2.57 | 32.0% | 14.7% | — | K 21.8% · BB 18.3% · FIP 4.10 |
| 2027PROJ | 24 | MLBTEX | — | — | 0 | 5.28 | 5.28 | 21.7% | 16.4% | — | |
| 2028PROJ43% MLB | 25 | MLBTEX | 9 | 0 | 9 | 5.05 | 4.97 | 22.3% | 14.3% | -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) | |||||||||||||||||||
| 2023 | 20 | ROK MLE | DSL Rangers Blue | 13 | 10 | 31 | 145 | 47 | 23 | 2 | 77% | 2.4 | 22.0% | 19.8% | 2.2% | 1.6% | 7.34 | 4.65 | — |
| 2023 | 20 | ROK RAW | DSL Rangers Blue | 13 | 10 | 31 | 145 | 47 | 23 | 2 | 77% | 2.4 | 32.4% | 15.9% | 16.6% | 1.4% | 7.34 | 3.13 | — |
| 2024 | 21 | ROK MLE | DSL Rangers Red | 14 | 0 | 22 | 97 | 41 | 21 | 0 | 0% | 1.5 | 28.7% | 27.1% | 1.7% | 0.0% | 5.40 | 4.10 | — |
| 2024 | 21 | ROK MLE | DSL Rangers Red | 14 | 0 | 22 | 97 | 41 | 21 | 0 | 0% | 1.5 | 28.7% | 27.1% | 1.7% | 0.0% | 5.40 | 4.10 | — |
| 2024 | 21 | ROK RAW | DSL Rangers Red | 14 | 0 | 22 | 97 | 41 | 21 | 0 | 0% | 1.5 | 42.3% | 21.6% | 20.6% | 0.0% | 5.40 | 2.22 | — |
| 2025 | 22 | ROK MLE | DSL Rangers Red | 11 | 0 | 32 | 159 | 35 | 19 | 0 | 0% | 2.9 | 15.0% | 14.9% | 0.0% | 0.0% | 6.68 | 3.73 | — |
| 2025 | 22 | ROK MLE | DSL Rangers Red | 11 | 0 | 32 | 159 | 35 | 19 | 0 | 0% | 2.9 | 15.0% | 14.9% | 0.0% | 0.0% | 6.68 | 3.73 | — |
| 2025 | 22 | ROK RAW | DSL Rangers Red | 11 | 0 | 32 | 159 | 35 | 19 | 0 | 0% | 2.9 | 22.0% | 11.9% | 10.1% | 0.0% | 6.68 | 2.70 | — |
| 2026 | 23 | ROK MLE | DSL Rangers Blue | 18 | 0 | 32 | 150 | 48 | 22 | 1 | 0% | 1.8 | 21.8% | 18.3% | 3.4% | 0.9% | 5.62 | 4.10 | — |
| 2026 | 23 | ROK MLE | DSL Rangers Blue | 18 | 0 | 32 | 150 | 48 | 22 | 1 | 0% | 1.8 | 21.8% | 18.3% | 3.4% | 0.9% | 5.62 | 4.10 | — |
| 2026 | 23 | ROK RAW | DSL Rangers Blue | 18 | 0 | 32 | 150 | 48 | 22 | 1 | 0% | 1.8 | 32.0% | 14.7% | 17.3% | 0.7% | 5.62 | 2.57 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 24 | MLB | TEX | — | — | 0 | — | — | — | — | — | — | 21.7% | 16.4% | 5.3% | 2.8% | 5.28 | 5.28 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 25 | MLB MLE | TEX | 21 | 0 | 22 | 93 | 21 | 13 | 3 | 0% | 1.1 | 22.3% | 14.3% | 8.0% | 2.8% | 5.05 | 4.97 | -0.1 |
| 2028 | 25 | MLB CTX | TEX | 9 | 0 | 9 | 38 | 8 | 5 | 1 | 0% | 1.0 | 22.3% | 14.3% | 8.0% | 2.8% | 5.05 | 4.97 | -0.0 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 9 | 0 | 9 | 40 | 9 | 6 | 1 | 0% | 1.0 | 22.3% | 14.3% | 8.0% | 2.8% | 5.05 | 4.59 | -0.0 | |
| / 200 IP | — | RAW | 190 | 0 | 200 | 844 | 191 | 127 | 21 | 0% | 1.1 | 22.3% | 14.3% | 8.0% | 2.8% | 5.05 | 4.59 | -0.1 | |
| Career | — | MLE | 56 | 10 | 117 | 551 | 116 | 106 | 4 | 18% | 2.1 | 21.1% | 19.3% | 1.8% | 0.7% | 6.33 | 4.14 | -0.1 | |
| / 200 IP | — | MLE | 96 | 17 | 200 | 945 | 199 | 182 | 6 | 18% | 2.1 | 21.1% | 19.3% | 1.8% | 0.7% | 6.33 | 4.14 | -1.0 | |
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 ROKDSL Rangers Blue · 32 IPFIP 2.62 → 4.10 (+1.48)K% 32.0% → 21.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 32.00% | — | ×0.680 | 21.76% |
| BB% (unintentional) /BF | 14.67% | — | ×1.250 | 18.33% |
| HR / BF /BF | 0.67% | ÷1.000 | ×1.400 | 0.93% |
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 2.62 → 4.10, 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).
2025 ROKDSL Rangers Red · 32 IPFIP 2.75 → 3.73 (+0.97)K% 22.0% → 15.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 22.01% | — | ×0.680 | 14.97% |
| BB% (unintentional) /BF | 11.95% | — | ×1.250 | 14.94% |
| HR / BF /BF | 0.00% | ÷1.259 | ×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 152).
Result: FIP 2.75 → 3.73, 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 ROKDSL Rangers Red · 22 IPFIP 2.27 → 4.10 (+1.83)K% 42.3% → 28.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 42.27% | — | ×0.680 | 28.74% |
| BB% (unintentional) /BF | 21.65% | — | ×1.250 | 27.06% |
| HR / BF /BF | 0.00% | ÷1.333 | ×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 167).
Result: FIP 2.27 → 4.10, 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 Rangers Blue · 31 IPFIP 3.13 → 4.65 (+1.52)K% 32.4% → 22.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 32.41% | — | ×0.680 | 22.04% |
| BB% (unintentional) /BF | 15.86% | — | ×1.250 | 19.83% |
| HR / BF /BF | 1.38% | ÷1.180 | ×1.400 | 1.64% |
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 136).
Result: FIP 3.13 → 4.65, 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).