Luis De La Torre
P Eugene Emeralds| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 20 | ROKDSL Giants Bl… | 14 | 1 | 29 | 3.14 | 1.53 | 32.0% | 9.0% | — | K 21.7% · BB 11.3% · FIP 2.69 |
| 2025 | 21 | MIX2 levels | 18 | 15 | 74 | 2.78 | 1.61 | 36.1% | 8.9% | — | K 25.5% · BB 10.9% · FIP 2.78 |
| 2026 | 22 | A+SF | 25 | 25 | 101 | 5.81 | 4.59 | 27.2% | 17.7% | — | K 20.9% · BB 20.3% · FIP 5.68 |
| 2027PROJ | 23 | MLBSF | — | — | 0 | 5.55 | 5.55 | 21.7% | 18.1% | — | |
| 2028PROJ43% MLB | 24 | MLBSF | 6 | 6 | 31 | 5.14 | 5.03 | 22.3% | 15.4% | 0.1 | |
| 2029PROJ66% MLB | 25 | MLBSF | 8 | 8 | 44 | 4.90 | 4.78 | 22.7% | 13.7% | 0.3 |
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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 | 19 | ROK MLE | DSL Giants Black | 5 | 0 | 9 | 41 | 12 | 7 | 0 | 0% | 1.7 | 29.3% | 17.1% | 12.2% | 0.0% | 7.27 | 2.79 | — |
| 2023 | 19 | ROK RAW | DSL Giants Black | 5 | 0 | 9 | 41 | 12 | 7 | 0 | 0% | 1.7 | 29.3% | 17.1% | 12.2% | 0.0% | 7.27 | 2.75 | — |
| 2024 | 20 | ROK MLE | DSL Giants Black | 14 | 1 | 29 | 122 | 39 | 11 | 0 | 7% | 2.0 | 21.7% | 11.3% | 10.5% | 0.0% | 3.14 | 2.69 | — |
| 2024 | 20 | ROK MLE | DSL Giants Black | 14 | 1 | 29 | 122 | 39 | 11 | 0 | 7% | 2.0 | 21.7% | 11.3% | 10.5% | 0.0% | 3.14 | 2.69 | — |
| 2024 | 20 | ROK RAW | DSL Giants Black | 14 | 1 | 29 | 122 | 39 | 11 | 0 | 7% | 2.0 | 32.0% | 9.0% | 23.0% | 0.0% | 3.14 | 1.53 | — |
| 2025 | 21 | MIX MLE | 2 levels | 18 | 15 | 74 | 302 | 109 | 27 | 2 | 83% | 4.1 | 25.5% | 10.9% | 14.6% | 0.8% | 2.78 | 2.78 | — |
| 2025 | 21 | MIX MLE | 2 levels | 18 | 15 | 74 | 302 | 109 | 27 | 2 | 83% | 4.1 | 25.5% | 10.9% | 14.6% | 0.8% | 2.78 | 2.78 | — |
| 2025 | 21 | MIX RAW | 2 levels | 18 | 15 | 74 | 302 | 109 | 27 | 2 | 83% | 4.1 | 36.1% | 8.9% | 27.2% | 0.7% | 2.78 | 1.61 | — |
| 2026 | 22 | A+ MLE | Eugene Emeralds | 25 | 25 | 101 | 464 | 126 | 82 | 12 | 100% | 4.0 | 20.9% | 20.3% | 0.6% | 3.2% | 5.81 | 5.68 | — |
| 2026 | 22 | A+ MLE | Eugene Emeralds | 25 | 25 | 101 | 464 | 126 | 82 | 12 | 100% | 4.0 | 20.9% | 20.3% | 0.6% | 3.2% | 5.81 | 5.68 | — |
| 2026 | 22 | A+ RAW | Eugene Emeralds | 25 | 25 | 101 | 464 | 126 | 82 | 12 | 100% | 4.0 | 27.2% | 17.7% | 9.5% | 2.6% | 5.81 | 4.59 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 23 | MLB | SF | — | — | 0 | — | — | — | — | — | — | 21.7% | 18.1% | 3.7% | 2.9% | 5.55 | 5.55 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 24 | MLB MLE | SF | 13 | 13 | 72 | 304 | 68 | 47 | 9 | 100% | 5.5 | 22.3% | 15.4% | 6.9% | 2.9% | 5.26 | 5.15 | +0.2 |
| 2029 | 25 | MLB MLE | SF | 11 | 11 | 66 | 278 | 63 | 38 | 8 | 100% | 6.0 | 22.7% | 13.7% | 9.0% | 2.9% | 5.02 | 4.90 | +0.4 |
| 2030 | 26 | MLB MLE | SF | 11 | 11 | 64 | 271 | 62 | 36 | 8 | 100% | 5.8 | 22.8% | 13.4% | 9.5% | 2.9% | 4.90 | 4.85 | +0.4 |
| 2031 | 27 | MLB MLE | SF | 10 | 10 | 62 | 262 | 60 | 35 | 8 | 100% | 6.2 | 22.8% | 13.3% | 9.5% | 3.0% | 4.87 | 4.87 | +0.4 |
| 2032 | 28 | MLB MLE | SF | 10 | 10 | 59 | 248 | 56 | 33 | 8 | 100% | 5.9 | 22.7% | 13.4% | 9.2% | 3.1% | 4.92 | 4.95 | +0.3 |
| 2033 | 29 | MLB MLE | SF | 9 | 9 | 55 | 231 | 52 | 31 | 7 | 100% | 6.1 | 22.4% | 13.7% | 8.8% | 3.2% | 5.02 | 5.08 | +0.2 |
| 2034 | 30 | MLB MLE | SF | 8 | 8 | 50 | 209 | 46 | 29 | 7 | 100% | 6.2 | 22.1% | 14.0% | 8.1% | 3.4% | 5.16 | 5.26 | +0.1 |
| 2028 | 24 | MLB CTX | SF | 6 | 6 | 31 | 131 | 29 | 20 | 4 | 100% | 5.2 | 22.3% | 15.4% | 6.9% | 2.7% | 5.14 | 5.03 | +0.1 |
| 2029 | 25 | MLB CTX | SF | 8 | 8 | 44 | 186 | 42 | 25 | 5 | 100% | 5.5 | 22.7% | 13.7% | 9.0% | 2.7% | 4.90 | 4.78 | +0.3 |
| 2030 | 26 | MLB CTX | SF | 8 | 8 | 51 | 215 | 49 | 29 | 6 | 100% | 6.4 | 22.8% | 13.4% | 9.5% | 2.7% | 4.78 | 4.73 | +0.3 |
| 2031 | 27 | MLB CTX | SF | 9 | 9 | 53 | 224 | 51 | 30 | 6 | 100% | 5.9 | 22.8% | 13.3% | 9.5% | 2.7% | 4.75 | 4.75 | +0.3 |
| 2032 | 28 | MLB CTX | SF | 9 | 9 | 52 | 220 | 50 | 30 | 6 | 100% | 5.8 | 22.7% | 13.4% | 9.2% | 2.8% | 4.79 | 4.82 | +0.3 |
| 2033 | 29 | MLB CTX | SF | 8 | 8 | 50 | 211 | 47 | 29 | 6 | 100% | 6.2 | 22.4% | 13.7% | 8.8% | 3.0% | 4.89 | 4.95 | +0.2 |
| 2034 | 30 | MLB CTX | SF | 8 | 8 | 46 | 194 | 43 | 27 | 6 | 100% | 5.8 | 22.1% | 14.0% | 8.1% | 3.2% | 5.02 | 5.12 | +0.1 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 55 | 55 | 326 | 1376 | 311 | 189 | 39 | 100% | 5.9 | 22.6% | 13.7% | 8.8% | 2.8% | 4.88 | 4.49 | +3.4 | |
| / 200 IP | — | RAW | 34 | 34 | 200 | 844 | 191 | 116 | 24 | 100% | 5.9 | 22.6% | 13.7% | 8.8% | 2.8% | 4.88 | 4.49 | +2.1 | |
| Career | — | MLE | 62 | 41 | 212 | 929 | 212 | 148 | 17 | 66% | 3.4 | 22.9% | 15.9% | 6.9% | 1.9% | 4.45 | 4.22 | +2.0 | |
| / 200 IP | — | MLE | 58 | 39 | 200 | 875 | 200 | 139 | 16 | 66% | 3.4 | 22.9% | 15.9% | 6.9% | 1.9% | 4.45 | 4.22 | +0.9 | |
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 A+Eugene Emeralds · 101 IPFIP 4.46 → 5.68 (+1.22)K% 27.2% → 20.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 27.16% | — | ×0.770 | 20.91% |
| BB% (unintentional) /BF | 17.67% | — | ×1.150 | 20.32% |
| HR / BF /BF | 2.59% | ÷1.000 | ×1.250 | 3.23% |
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 100).
Result: FIP 4.46 → 5.68, 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 ROKACL Giants · 39 IPFIP 1.80 → 3.31 (+1.51)K% 38.3% → 26.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 38.27% | — | ×0.680 | 26.02% |
| BB% (unintentional) /BF | 9.88% | — | ×1.250 | 12.35% |
| HR / BF /BF | 1.23% | ÷1.128 | ×1.400 | 1.53% |
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 126).
Result: FIP 1.80 → 3.31, 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 ASan Jose Giants · 36 IPFIP 1.26 → 2.18 (+0.92)K% 33.6% → 24.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 33.57% | — | ×0.740 | 24.84% |
| BB% (unintentional) /BF | 7.86% | — | ×1.180 | 9.27% |
| HR / BF /BF | 0.00% | ÷1.358 | ×1.300 | 0.00% |
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 172).
Result: FIP 1.26 → 2.18, 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 Giants Black · 29 IPFIP 1.54 → 2.69 (+1.15)K% 32.0% → 21.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 31.97% | — | ×0.680 | 21.74% |
| BB% (unintentional) /BF | 9.02% | — | ×1.250 | 11.27% |
| HR / BF /BF | 0.00% | ÷1.092 | ×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 118).
Result: FIP 1.54 → 2.69, 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 Giants Black · 9 IPFIP 2.79 → 4.12 (+1.33)K% 29.3% → 19.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 29.27% | — | ×0.680 | 19.90% |
| BB% (unintentional) /BF | 17.07% | — | ×1.250 | 21.34% |
| HR / BF /BF | 0.00% | ÷1.118 | ×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 124).
Result: FIP 2.79 → 4.12, 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).
Career Comps
Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.
| Player | 162s | IP/yr | K% | BB% | HR/9 | ERA |
|---|---|---|---|---|---|---|
| OGILVIE CAREER PROJECTION | 2.5 | 62 | 22.4% | 14.5% | 1.17 | 5.10 |
| Dwayne Henry ('84-'95, -1 WAR*) | 1.7 | 67 | 23.8%* | 14.2%* | 0.90* | 5.02* |
| Doug Bochtler ('00) | 1.3 | 65 | 18.6% | 14.4% | 1.25 | 4.57 |
| Armando Almanza ('05) | 1.1 | 54 | 24.4% | 14.3% | 1.43 | 4.82 |
| Doug Creek ('05) | 1.4 | 58 | 22.2% | 15.1% | 1.52 | 5.32 |
| Ed Glynn ('75-'85, -0 WAR*) | 1.3 | 53 | 23.5%* | 12.9%* | 1.22* | 4.69* |
| Gene Harris ('89-'95, -1 WAR*) | 1.2 | 40 | 20.0%* | 12.5%* | 0.98* | 4.96* |