Ethan Young
P Palm Beach Cardinals| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 22 | ASTL | 10 | 10 | 31 | 7.26 | 3.55 | 25.3% | 11.3% | — | K 18.7% · BB 13.4% · FIP 4.64 |
| 2027PROJ | 23 | MLBSTL | — | — | 0 | 5.03 | 5.03 | 21.1% | 13.5% | — | |
| 2028PROJ43% MLB | 24 | MLBSTL | 7 | 7 | 40 | 4.73 | 4.65 | 22.2% | 12.1% | 0.3 | |
| 2029PROJ66% MLB | 25 | MLBSTL | 11 | 11 | 66 | 4.57 | 4.50 | 22.8% | 11.3% | 0.6 |
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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) | |||||||||||||||||||
| 2026 | 22 | A MLE | Palm Beach Cardinals | 10 | 10 | 31 | 150 | 38 | 17 | 3 | 100% | 3.1 | 18.7% | 13.4% | 5.4% | 2.6% | 7.26 | 4.64 | — |
| 2026 | 22 | A MLE | Palm Beach Cardinals | 10 | 10 | 31 | 150 | 38 | 17 | 3 | 100% | 3.1 | 18.7% | 13.4% | 5.4% | 2.6% | 7.26 | 4.64 | — |
| 2026 | 22 | A RAW | Palm Beach Cardinals | 10 | 10 | 31 | 150 | 38 | 17 | 3 | 100% | 3.1 | 25.3% | 11.3% | 14.0% | 2.0% | 7.26 | 3.55 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 23 | MLB | STL | — | — | 0 | — | — | — | — | — | — | 21.1% | 13.5% | 7.7% | 3.0% | 5.03 | 5.03 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 24 | MLB MLE | STL | 17 | 17 | 95 | 400 | 89 | 49 | 12 | 100% | 5.6 | 22.2% | 12.1% | 10.0% | 2.9% | 4.84 | 4.76 | +0.7 |
| 2029 | 25 | MLB MLE | STL | 17 | 17 | 99 | 418 | 95 | 47 | 12 | 100% | 5.8 | 22.8% | 11.3% | 11.4% | 2.9% | 4.68 | 4.61 | +0.9 |
| 2030 | 26 | MLB MLE | STL | 17 | 17 | 104 | 441 | 102 | 49 | 13 | 100% | 6.1 | 23.0% | 11.1% | 11.9% | 2.9% | 4.60 | 4.56 | +1.0 |
| 2031 | 27 | MLB MLE | STL | 17 | 17 | 101 | 427 | 98 | 48 | 13 | 100% | 6.0 | 23.0% | 11.1% | 11.9% | 3.0% | 4.59 | 4.59 | +1.0 |
| 2032 | 28 | MLB MLE | STL | 16 | 16 | 96 | 406 | 93 | 46 | 13 | 100% | 6.0 | 22.9% | 11.3% | 11.6% | 3.1% | 4.64 | 4.67 | +0.8 |
| 2033 | 29 | MLB MLE | STL | 15 | 15 | 90 | 378 | 85 | 43 | 12 | 100% | 6.0 | 22.6% | 11.5% | 11.1% | 3.2% | 4.74 | 4.80 | +0.6 |
| 2034 | 30 | MLB MLE | STL | 14 | 14 | 81 | 343 | 76 | 40 | 12 | 100% | 5.8 | 22.3% | 11.8% | 10.5% | 3.4% | 4.88 | 4.98 | +0.4 |
| 2035 | 31 | MLB MLE | STL | 12 | 12 | 73 | 307 | 67 | 37 | 11 | 100% | 6.1 | 21.9% | 12.1% | 9.7% | 3.7% | 5.06 | 5.18 | +0.2 |
| 2028 | 24 | MLB CTX | STL | 7 | 7 | 40 | 169 | 37 | 21 | 5 | 100% | 5.7 | 22.2% | 12.1% | 10.0% | 2.7% | 4.73 | 4.65 | +0.3 |
| 2029 | 25 | MLB CTX | STL | 11 | 11 | 66 | 279 | 63 | 32 | 8 | 100% | 6.0 | 22.8% | 11.3% | 11.4% | 2.7% | 4.57 | 4.50 | +0.6 |
| 2030 | 26 | MLB CTX | STL | 14 | 14 | 83 | 350 | 81 | 39 | 10 | 100% | 5.9 | 23.0% | 11.1% | 11.9% | 2.7% | 4.49 | 4.45 | +0.8 |
| 2031 | 27 | MLB CTX | STL | 14 | 14 | 86 | 363 | 83 | 40 | 10 | 100% | 6.1 | 23.0% | 11.1% | 11.9% | 2.8% | 4.48 | 4.48 | +0.8 |
| 2032 | 28 | MLB CTX | STL | 14 | 14 | 86 | 363 | 83 | 41 | 10 | 100% | 6.1 | 22.9% | 11.3% | 11.6% | 2.9% | 4.52 | 4.55 | +0.7 |
| 2033 | 29 | MLB CTX | STL | 14 | 14 | 81 | 342 | 77 | 39 | 10 | 100% | 5.8 | 22.6% | 11.5% | 11.1% | 3.0% | 4.62 | 4.68 | +0.6 |
| 2034 | 30 | MLB CTX | STL | 12 | 12 | 75 | 317 | 71 | 37 | 10 | 100% | 6.2 | 22.3% | 11.8% | 10.5% | 3.2% | 4.75 | 4.85 | +0.4 |
| 2035 | 31 | MLB CTX | STL | 11 | 11 | 68 | 287 | 63 | 35 | 10 | 100% | 6.2 | 21.9% | 12.1% | 9.7% | 3.4% | 4.92 | 5.04 | +0.2 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 98 | 98 | 585 | 2469 | 558 | 284 | 72 | 100% | 6.0 | 22.6% | 11.5% | 11.1% | 2.9% | 4.62 | 4.26 | +7.9 | |
| / 200 IP | — | RAW | 34 | 34 | 200 | 844 | 191 | 97 | 25 | 100% | 6.0 | 22.6% | 11.5% | 11.1% | 2.9% | 4.62 | 4.26 | +2.7 | |
| Career | — | MLE | 10 | 10 | 31 | 150 | 28 | 20 | 4 | 100% | 3.1 | 18.7% | 13.4% | 5.4% | 2.6% | 7.26 | 4.64 | +5.6 | |
| / 200 IP | — | MLE | 65 | 65 | 200 | 968 | 181 | 129 | 25 | 100% | 3.1 | 18.7% | 13.4% | 5.4% | 2.6% | 7.26 | 4.64 | +1.5 | |
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 APalm Beach Cardinals · 31 IPFIP 3.49 → 4.64 (+1.14)K% 25.3% → 18.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.33% | — | ×0.740 | 18.75% |
| BB% (unintentional) /BF | 11.33% | — | ×1.180 | 13.37% |
| HR / BF /BF | 2.00% | ÷1.000 | ×1.300 | 2.60% |
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 100).
Result: FIP 3.49 → 4.64, 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: 927 starter careers (497 from 1990-2025 + 430 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 | 4.1 | 92 | 22.4% | 11.7% | 1.20 | 4.77 |
| Jonathan Sánchez ('13) | 3.9 | 112 | 22.8% | 12.5% | 1.04 | 4.70 |
| Chad Kuhl ('24) | 3.3 | 84 | 20.0% | 10.4% | 1.31 | 4.98 |
| Wayne Twitchell ('70-'79, 4 WAR*) | 5.3 | 133 | 24.2%* | 11.3%* | 1.16* | 4.56* |
| Robert Person ('03) | 4.5 | 128 | 19.8% | 11.2% | 1.29 | 4.64 |
| Joe Decker ('69-'79, 6 WAR*) | 3.5 | 101 | 21.4%* | 11.8%* | 1.04* | 4.49* |
| Frank Bertaina ('64-'70, -1 WAR*) | 2.1 | 69 | 19.0%* | 11.8%* | 1.24* | 5.03* |