Eric Dominguez
P ACL D-backs| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023 | 20 | ROKACL D-backs R… | 4 | 3 | 15 | 2.93 | 2.45 | 35.7% | 12.9% | — | K 24.3% · BB 16.1% · FIP 4.28 | |
| 2024 | 21 | MIX2 levels | 18 | 5 | 73 | 2.59 | 2.59 | 29.7% | 9.8% | — | K 20.9% · BB 12.0% · FIP 3.81 | |
| 2025 | 22 | MIX2 levels | 12 | 0 | 18 | 9.50 | 7.16 | 22.7% | 18.2% | — | K 17.6% · BB 18.5% · FIP 5.61 | |
| 2026 | 23 | No MLB games played | ||||||||||
| 2027PROJ | 24 | MLBARI | — | — | 0 | 4.79 | 4.79 | 22.4% | 12.3% | — | ||
| 2028PROJ43% MLB | 25 | MLBARI | 7 | 0 | 7 | 4.66 | 4.60 | 22.9% | 11.3% | -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) | |||||||||||||||||||
| 2022 | 19 | ROK MLE | DSL D-backs Black | 11 | 7 | 39 | 160 | 29 | 25 | 1 | 64% | 3.6 | 12.3% | 19.5% | -7.2% | 1.0% | 2.97 | 5.07 | — |
| 2022 | 19 | ROK RAW | DSL D-backs Black | 11 | 7 | 39 | 160 | 29 | 25 | 1 | 64% | 3.6 | 18.1% | 15.6% | 2.5% | 0.6% | 2.97 | 3.86 | — |
| 2023 | 20 | ROK MLE | ACL D-backs Red | 4 | 3 | 15 | 70 | 25 | 9 | 1 | 75% | 3.8 | 24.3% | 16.1% | 8.2% | 2.2% | 2.93 | 4.28 | — |
| 2023 | 20 | ROK RAW | ACL D-backs Red | 4 | 3 | 15 | 70 | 25 | 9 | 1 | 75% | 3.8 | 35.7% | 12.9% | 22.9% | 1.4% | 2.93 | 2.45 | — |
| 2024 | 21 | MIX MLE | 2 levels | 18 | 5 | 73 | 296 | 88 | 29 | 4 | 28% | 4.1 | 20.9% | 12.0% | 8.9% | 1.7% | 2.59 | 3.81 | — |
| 2024 | 21 | MIX MLE | 2 levels | 18 | 5 | 73 | 296 | 88 | 29 | 4 | 28% | 4.1 | 20.9% | 12.0% | 8.9% | 1.7% | 2.59 | 3.81 | — |
| 2024 | 21 | MIX RAW | 2 levels | 18 | 5 | 73 | 296 | 88 | 29 | 4 | 28% | 4.1 | 29.7% | 9.8% | 19.9% | 1.4% | 2.59 | 2.59 | — |
| 2025 | 22 | MIX MLE | 2 levels | 12 | 0 | 18 | 88 | 20 | 16 | 5 | 0% | 1.5 | 17.6% | 18.5% | -0.9% | 3.0% | 9.50 | 5.61 | — |
| 2025 | 22 | MIX MLE | 2 levels | 12 | 0 | 18 | 88 | 20 | 16 | 5 | 0% | 1.5 | 17.6% | 18.5% | -0.9% | 3.0% | 9.50 | 5.61 | — |
| 2025 | 22 | MIX RAW | 2 levels | 12 | 0 | 18 | 88 | 20 | 16 | 5 | 0% | 1.5 | 22.7% | 18.2% | 4.5% | 5.7% | 9.50 | 7.16 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 24 | MLB | ARI | — | — | 0 | — | — | — | — | — | — | 22.4% | 12.3% | 10.1% | 3.0% | 4.79 | 4.79 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 25 | MLB MLE | ARI | 16 | 0 | 16 | 69 | 16 | 8 | 2 | 0% | 1.0 | 22.9% | 11.3% | 11.6% | 3.0% | 4.66 | 4.60 | -0.0 |
| 2028 | 25 | MLB CTX | ARI | 7 | 0 | 7 | 30 | 7 | 3 | 1 | 0% | 1.0 | 22.9% | 11.3% | 11.6% | 3.0% | 4.66 | 4.60 | -0.0 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 7 | 0 | 7 | 30 | 7 | 3 | 1 | 0% | 1.0 | 22.9% | 11.3% | 11.6% | 3.0% | 4.66 | 4.22 | +0.0 | |
| / 200 IP | — | RAW | 190 | 0 | 200 | 844 | 200 | 86 | 29 | 0% | 1.1 | 22.9% | 11.3% | 11.6% | 3.0% | 4.66 | 4.22 | +0.8 | |
| Career | — | MLE | 45 | 15 | 146 | 614 | 114 | 94 | 11 | 33% | 3.2 | 18.6% | 15.4% | 3.2% | 1.8% | 3.58 | 4.45 | -0.0 | |
| / 200 IP | — | MLE | 62 | 21 | 200 | 843 | 157 | 130 | 15 | 33% | 3.2 | 18.6% | 15.4% | 3.2% | 1.8% | 3.58 | 4.45 | -0.1 | |
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 ROKACL D-backs · 12 IPFIP 3.80 → 5.61 (+1.80)K% 25.9% → 17.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.93% | — | ×0.680 | 17.63% |
| BB% (unintentional) /BF | 14.81% | — | ×1.250 | 18.52% |
| HR / BF /BF | 1.85% | ÷0.862 | ×1.400 | 3.01% |
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 3.80 → 5.61, 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 AVisalia Rawhide · 6 IPFIP 11.05 → 12.06 (+1.01)K% 17.6% → 13.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 17.65% | — | ×0.740 | 13.06% |
| BB% (unintentional) /BF | 23.53% | — | ×1.180 | 27.76% |
| HR / BF /BF | 11.76% | ÷1.283 | ×1.300 | 11.92% |
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 157).
Result: FIP 11.05 → 12.06, 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 ROKACL D-backs · 41 IPFIP 2.20 → 3.60 (+1.41)K% 31.5% → 21.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 31.55% | — | ×0.680 | 21.45% |
| BB% (unintentional) /BF | 11.31% | — | ×1.250 | 14.14% |
| HR / BF /BF | 0.60% | ÷0.875 | ×1.400 | 0.95% |
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 75).
Result: FIP 2.20 → 3.60, 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 AVisalia Rawhide · 32 IPFIP 3.07 → 4.08 (+1.01)K% 27.3% → 20.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 27.34% | — | ×0.740 | 20.23% |
| BB% (unintentional) /BF | 7.81% | — | ×1.180 | 9.22% |
| HR / BF /BF | 2.34% | ÷1.102 | ×1.300 | 2.76% |
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 120).
Result: FIP 3.07 → 4.08, 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 ROKACL D-backs Red · 15 IPFIP 2.50 → 4.28 (+1.78)K% 35.7% → 24.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 35.71% | — | ×0.680 | 24.29% |
| BB% (unintentional) /BF | 12.86% | — | ×1.250 | 16.07% |
| HR / BF /BF | 1.43% | ÷0.918 | ×1.400 | 2.18% |
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 84).
Result: FIP 2.50 → 4.28, 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 D-backs Black · 39 IPFIP 3.89 → 5.07 (+1.18)K% 18.1% → 12.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.12% | — | ×0.680 | 12.32% |
| BB% (unintentional) /BF | 15.62% | — | ×1.250 | 19.53% |
| HR / BF /BF | 0.62% | ÷0.896 | ×1.400 | 0.98% |
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 79).
Result: FIP 3.89 → 5.07, 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).