Abner Meza
P DSL Mets Orange| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 18 | ROKDSL Mets Oran… | 12 | 8 | 39 | 2.79 | 2.22 | 19.6% | 6.1% | — | K 13.3% · BB 7.7% · FIP 2.94 |
| 2026 | 19 | ROKDSL Mets Oran… | 11 | 11 | 50 | 1.81 | 1.95 | 24.9% | 5.0% | — | K 16.9% · BB 6.2% · FIP 2.84 |
| 2027PROJ | 20 | MLB— | — | — | 0 | 4.27 | 4.27 | 19.4% | 7.0% | — | |
| 2028PROJ49% MLB | 21 | MLB— | 4 | 4 | 21 | 4.21 | 4.17 | 20.4% | 7.0% | 0.3 | |
| 2029PROJ73% MLB | 22 | MLB— | 6 | 6 | 33 | 4.10 | 4.01 | 21.6% | 6.8% | 0.5 |
Grades · Contract
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) | |||||||||||||||||||
| 2025 | 18 | ROK MLE | DSL Mets Orange | 12 | 8 | 39 | 163 | 32 | 10 | 0 | 67% | 3.2 | 13.3% | 7.7% | 5.7% | 0.0% | 2.79 | 2.94 | — |
| 2025 | 18 | ROK MLE | DSL Mets Orange | 12 | 8 | 39 | 163 | 32 | 10 | 0 | 67% | 3.2 | 13.3% | 7.7% | 5.7% | 0.0% | 2.79 | 2.94 | — |
| 2025 | 18 | ROK RAW | DSL Mets Orange | 12 | 8 | 39 | 163 | 32 | 10 | 0 | 67% | 3.2 | 19.6% | 6.1% | 13.5% | 0.0% | 2.79 | 2.22 | — |
| 2026 | 19 | ROK MLE | DSL Mets Orange | 11 | 11 | 50 | 201 | 50 | 10 | 1 | 100% | 4.5 | 16.9% | 6.2% | 10.7% | 0.7% | 1.81 | 2.84 | — |
| 2026 | 19 | ROK MLE | DSL Mets Orange | 11 | 11 | 50 | 201 | 50 | 10 | 1 | 100% | 4.5 | 16.9% | 6.2% | 10.7% | 0.7% | 1.81 | 2.84 | — |
| 2026 | 19 | ROK RAW | DSL Mets Orange | 11 | 11 | 50 | 201 | 50 | 10 | 1 | 100% | 4.5 | 24.9% | 5.0% | 19.9% | 0.5% | 1.81 | 1.95 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 20 | MLB | — | — | — | 0 | — | — | — | — | — | — | 19.4% | 7.0% | 12.4% | 2.8% | 4.27 | 4.27 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 21 | MLB MLE | — | 9 | 9 | 42 | 179 | 36 | 13 | 5 | 100% | 4.7 | 20.4% | 7.0% | 13.4% | 2.8% | 4.21 | 4.17 | +0.6 |
| 2029 | 22 | MLB MLE | — | 9 | 9 | 45 | 189 | 41 | 13 | 5 | 100% | 5.0 | 21.6% | 6.8% | 14.8% | 2.7% | 4.10 | 4.01 | +0.7 |
| 2030 | 23 | MLB MLE | — | 9 | 9 | 46 | 193 | 43 | 13 | 5 | 100% | 5.1 | 22.4% | 6.6% | 15.8% | 2.7% | 3.99 | 3.90 | +0.8 |
| 2031 | 24 | MLB MLE | — | 8 | 8 | 46 | 193 | 44 | 12 | 5 | 100% | 5.7 | 23.0% | 6.4% | 16.5% | 2.7% | 3.90 | 3.82 | +0.9 |
| 2032 | 25 | MLB MLE | — | 8 | 8 | 45 | 189 | 44 | 12 | 5 | 100% | 5.6 | 23.4% | 6.3% | 17.0% | 2.7% | 3.82 | 3.77 | +0.9 |
| 2033 | 26 | MLB MLE | — | 8 | 8 | 45 | 191 | 45 | 12 | 5 | 100% | 5.7 | 23.6% | 6.3% | 17.3% | 2.7% | 3.78 | 3.75 | +0.9 |
| 2034 | 27 | MLB MLE | — | 7 | 7 | 44 | 187 | 44 | 12 | 5 | 100% | 6.3 | 23.5% | 6.3% | 17.2% | 2.7% | 3.78 | 3.78 | +0.9 |
| 2028 | 21 | MLB CTX | — | 4 | 4 | 21 | 89 | 18 | 6 | 2 | 100% | 5.2 | 20.4% | 7.0% | 13.4% | 2.8% | 4.21 | 4.17 | +0.3 |
| 2029 | 22 | MLB CTX | — | 6 | 6 | 33 | 139 | 30 | 9 | 4 | 100% | 5.5 | 21.6% | 6.8% | 14.8% | 2.7% | 4.10 | 4.01 | +0.5 |
| 2030 | 23 | MLB CTX | — | 7 | 7 | 39 | 165 | 37 | 11 | 4 | 100% | 5.6 | 22.4% | 6.6% | 15.8% | 2.7% | 3.99 | 3.90 | +0.7 |
| 2031 | 24 | MLB CTX | — | 7 | 7 | 41 | 173 | 40 | 11 | 5 | 100% | 5.9 | 23.0% | 6.4% | 16.5% | 2.7% | 3.90 | 3.82 | +0.8 |
| 2032 | 25 | MLB CTX | — | 7 | 7 | 41 | 173 | 40 | 11 | 5 | 100% | 5.9 | 23.4% | 6.3% | 17.0% | 2.7% | 3.82 | 3.77 | +0.8 |
| 2033 | 26 | MLB CTX | — | 7 | 7 | 42 | 177 | 42 | 11 | 5 | 100% | 6.0 | 23.6% | 6.3% | 17.3% | 2.7% | 3.78 | 3.75 | +0.8 |
| 2034 | 27 | MLB CTX | — | 7 | 7 | 42 | 177 | 42 | 11 | 5 | 100% | 6.0 | 23.5% | 6.3% | 17.2% | 2.7% | 3.78 | 3.78 | +0.8 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 46 | 46 | 258 | 1090 | 248 | 71 | 29 | 100% | 5.6 | 22.8% | 6.5% | 16.3% | 2.7% | 3.91 | 3.48 | +6.1 | |
| / 200 IP | — | RAW | 36 | 36 | 200 | 844 | 192 | 55 | 22 | 100% | 5.6 | 22.8% | 6.5% | 16.3% | 2.7% | 3.91 | 3.48 | +4.7 | |
| Career | — | MLE | 23 | 19 | 88 | 364 | 56 | 25 | 1 | 83% | 3.8 | 15.3% | 6.9% | 8.5% | 0.4% | 2.24 | 2.89 | +5.7 | |
| / 200 IP | — | MLE | 52 | 43 | 200 | 824 | 126 | 57 | 3 | 83% | 3.8 | 15.3% | 6.9% | 8.5% | 0.4% | 2.24 | 2.89 | +3.6 | |
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 Mets Orange · 50 IPFIP 1.90 → 2.84 (+0.94)K% 24.9% → 16.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 24.88% | — | ×0.680 | 16.92% |
| BB% (unintentional) /BF | 4.98% | — | ×1.250 | 6.22% |
| HR / BF /BF | 0.50% | ÷1.000 | ×1.400 | 0.70% |
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 1.90 → 2.84, 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 Mets Orange · 39 IPFIP 2.22 → 2.94 (+0.72)K% 19.6% → 13.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 19.63% | — | ×0.680 | 13.35% |
| BB% (unintentional) /BF | 6.13% | — | ×1.250 | 7.67% |
| HR / BF /BF | 0.00% | ÷0.873 | ×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 75).
Result: FIP 2.22 → 2.94, 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 | 1.7 | 43 | 22.3% | 6.6% | 1.05 | 3.96 |
| Junichi Tazawa ('18) | 2.0 | 49 | 22.2% | 6.5% | 1.12 | 4.12 |
| Nick Wittgren ('23) | 1.6 | 41 | 21.6% | 7.0% | 1.15 | 4.04 |
| Fernando Salas ('19) | 2.4 | 54 | 23.1% | 7.3% | 1.05 | 3.91 |
| Joe Hoerner ('63-'77, 8 WAR*) | 2.8 | 51 | 23.2%* | 7.9%* | 1.21* | 3.52* |
| Tony Castillo ('88-'98, 4 WAR*) | 2.6 | 59 | 18.5%* | 7.3%* | 0.98* | 3.76* |
| Donnie Moore ('75-'88, 7 WAR*) | 3.3 | 60 | 20.7%* | 6.6%* | 1.00* | 3.83* |