Junior Tavera
P DSL NYY Bombers| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 18 | ROKDSL NYY Bombe… | 12 | 11 | 36 | 6.94 | 4.04 | 21.0% | 15.5% | — | K 14.3% · BB 19.3% · FIP 5.12 |
| 2026 | 19 | ROKDSL NYY Bombe… | 12 | 9 | 48 | 6.33 | 4.01 | 26.9% | 14.8% | — | K 18.3% · BB 18.5% · FIP 5.62 |
| 2027PROJ | 20 | MLBNYY | — | — | 0 | 5.71 | 5.71 | 19.9% | 18.0% | — | |
| 2028PROJ49% MLB | 21 | MLBNYY | 4 | 4 | 17 | 5.50 | 5.38 | 20.8% | 15.4% | 0.0 | |
| 2029PROJ73% MLB | 22 | MLBNYY | 5 | 5 | 26 | 5.17 | 5.00 | 21.9% | 13.4% | 0.2 |
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) | |||||||||||||||||||
| 2024 | 17 | ROK MLE | DSL NYY Bombers | 8 | 6 | 16 | 83 | 22 | 21 | 1 | 75% | 2.0 | 18.0% | 31.6% | -13.6% | 1.0% | 8.82 | 6.14 | — |
| 2024 | 17 | ROK MLE | DSL NYY Bombers | 8 | 6 | 16 | 83 | 22 | 21 | 1 | 75% | 2.0 | 18.0% | 31.6% | -13.6% | 1.0% | 8.82 | 6.14 | — |
| 2024 | 17 | ROK RAW | DSL NYY Bombers | 8 | 6 | 16 | 83 | 22 | 21 | 1 | 75% | 2.0 | 26.5% | 25.3% | 1.2% | 1.2% | 8.82 | 5.06 | — |
| 2025 | 18 | ROK MLE | DSL NYY Bombers | 12 | 11 | 36 | 181 | 38 | 28 | 2 | 92% | 3.0 | 14.3% | 19.3% | -5.1% | 1.4% | 6.94 | 5.12 | — |
| 2025 | 18 | ROK MLE | DSL NYY Bombers | 12 | 11 | 36 | 181 | 38 | 28 | 2 | 92% | 3.0 | 14.3% | 19.3% | -5.1% | 1.4% | 6.94 | 5.12 | — |
| 2025 | 18 | ROK RAW | DSL NYY Bombers | 12 | 11 | 36 | 181 | 38 | 28 | 2 | 92% | 3.0 | 21.0% | 15.5% | 5.5% | 1.1% | 6.94 | 4.04 | — |
| 2026 | 19 | ROK MLE | DSL NYY Bombers | 12 | 9 | 48 | 223 | 60 | 33 | 5 | 75% | 4.0 | 18.3% | 18.5% | -0.2% | 3.1% | 6.33 | 5.62 | — |
| 2026 | 19 | ROK MLE | DSL NYY Bombers | 12 | 9 | 48 | 223 | 60 | 33 | 5 | 75% | 4.0 | 18.3% | 18.5% | -0.2% | 3.1% | 6.33 | 5.62 | — |
| 2026 | 19 | ROK RAW | DSL NYY Bombers | 12 | 9 | 48 | 223 | 60 | 33 | 5 | 75% | 4.0 | 26.9% | 14.8% | 12.1% | 2.2% | 6.33 | 4.01 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 20 | MLB | NYY | — | — | 0 | — | — | — | — | — | — | 19.9% | 18.0% | 1.9% | 3.0% | 5.71 | 5.71 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 21 | MLB MLE | NYY | 7 | 7 | 35 | 149 | 31 | 23 | 4 | 100% | 5.0 | 20.8% | 15.4% | 5.4% | 2.9% | 5.39 | 5.27 | +0.1 |
| 2029 | 22 | MLB MLE | NYY | 7 | 7 | 36 | 150 | 33 | 20 | 4 | 100% | 5.1 | 21.9% | 13.4% | 8.5% | 2.9% | 5.06 | 4.89 | +0.2 |
| 2030 | 23 | MLB MLE | NYY | 7 | 7 | 37 | 155 | 35 | 19 | 4 | 100% | 5.2 | 22.7% | 12.0% | 10.7% | 2.8% | 4.79 | 4.63 | +0.3 |
| 2031 | 24 | MLB MLE | NYY | 7 | 7 | 37 | 158 | 37 | 18 | 4 | 100% | 5.3 | 23.2% | 11.1% | 12.2% | 2.8% | 4.59 | 4.45 | +0.4 |
| 2032 | 25 | MLB MLE | NYY | 6 | 6 | 37 | 157 | 37 | 16 | 4 | 100% | 6.2 | 23.6% | 10.5% | 13.1% | 2.8% | 4.44 | 4.34 | +0.5 |
| 2033 | 26 | MLB MLE | NYY | 6 | 6 | 38 | 158 | 38 | 17 | 4 | 100% | 6.2 | 23.8% | 10.4% | 13.4% | 2.8% | 4.37 | 4.32 | +0.5 |
| 2034 | 27 | MLB MLE | NYY | 6 | 6 | 37 | 155 | 37 | 16 | 4 | 100% | 6.1 | 23.8% | 10.5% | 13.3% | 2.8% | 4.36 | 4.35 | +0.5 |
| 2028 | 21 | MLB CTX | NYY | 4 | 4 | 17 | 72 | 15 | 11 | 2 | 100% | 4.2 | 20.8% | 15.4% | 5.4% | 3.1% | 5.50 | 5.38 | +0.0 |
| 2029 | 22 | MLB CTX | NYY | 5 | 5 | 26 | 110 | 24 | 15 | 3 | 100% | 5.2 | 21.9% | 13.4% | 8.5% | 3.0% | 5.17 | 5.00 | +0.2 |
| 2030 | 23 | MLB CTX | NYY | 6 | 6 | 31 | 131 | 30 | 16 | 4 | 100% | 5.2 | 22.7% | 12.0% | 10.7% | 3.0% | 4.89 | 4.73 | +0.3 |
| 2031 | 24 | MLB CTX | NYY | 6 | 6 | 33 | 139 | 32 | 15 | 4 | 100% | 5.5 | 23.2% | 11.1% | 12.2% | 3.0% | 4.69 | 4.55 | +0.4 |
| 2032 | 25 | MLB CTX | NYY | 6 | 6 | 34 | 144 | 34 | 15 | 4 | 100% | 5.7 | 23.6% | 10.5% | 13.1% | 3.0% | 4.54 | 4.44 | +0.4 |
| 2033 | 26 | MLB CTX | NYY | 6 | 6 | 35 | 148 | 35 | 15 | 4 | 100% | 5.8 | 23.8% | 10.4% | 13.4% | 3.0% | 4.47 | 4.42 | +0.4 |
| 2034 | 27 | MLB CTX | NYY | 6 | 6 | 35 | 148 | 35 | 16 | 4 | 100% | 5.8 | 23.8% | 10.5% | 13.3% | 3.0% | 4.46 | 4.45 | +0.4 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 38 | 38 | 211 | 892 | 206 | 103 | 27 | 100% | 5.6 | 23.0% | 11.6% | 11.5% | 3.0% | 4.75 | 4.27 | +2.8 | |
| / 200 IP | — | RAW | 36 | 36 | 200 | 844 | 195 | 97 | 26 | 100% | 5.6 | 23.0% | 11.6% | 11.5% | 3.0% | 4.75 | 4.27 | +2.7 | |
| Career | — | MLE | 32 | 26 | 101 | 487 | 82 | 102 | 10 | 81% | 3.2 | 16.8% | 21.0% | -4.3% | 2.1% | 6.95 | 5.52 | +2.4 | |
| / 200 IP | — | MLE | 63 | 51 | 200 | 964 | 162 | 203 | 21 | 81% | 3.2 | 16.8% | 21.0% | -4.3% | 2.1% | 6.95 | 5.52 | +1.9 | |
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 ROKDSL NYY Bombers · 48 IPFIP 3.93 → 5.62 (+1.69)K% 26.9% → 18.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 26.91% | — | ×0.680 | 18.30% |
| BB% (unintentional) /BF | 14.80% | — | ×1.250 | 18.50% |
| HR / BF /BF | 2.24% | ÷1.000 | ×1.400 | 3.14% |
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 3.93 → 5.62, 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 NYY Bombers · 36 IPFIP 3.89 → 5.12 (+1.23)K% 21.0% → 14.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 20.99% | — | ×0.680 | 14.28% |
| BB% (unintentional) /BF | 15.47% | — | ×1.250 | 19.34% |
| HR / BF /BF | 1.10% | ÷1.090 | ×1.400 | 1.42% |
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 3.89 → 5.12, 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).
2024 ROKDSL NYY Bombers · 16 IPFIP 4.73 → 6.14 (+1.41)K% 26.5% → 18.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 26.51% | — | ×0.680 | 18.02% |
| BB% (unintentional) /BF | 25.30% | — | ×1.250 | 31.63% |
| HR / BF /BF | 1.20% | ÷1.658 | ×1.400 | 1.02% |
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 232).
Result: FIP 4.73 → 6.14, 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 | 1.4 | 35 | 22.6% | 12.4% | 1.10 | 4.80 |
| David Aardsma ('15) | 1.7 | 48 | 23.1% | 12.4% | 1.09 | 4.27 |
| Gene Harris ('89-'95, -1 WAR*) | 1.2 | 40 | 20.0%* | 12.5%* | 0.98* | 4.96* |
| Yorkis Perez ('02) | 1.4 | 40 | 20.8% | 11.8% | 0.93 | 4.44 |
| Mike Holtz ('06) | 1.2 | 34 | 20.4% | 12.0% | 0.94 | 4.76 |
| Fred Lasher ('63-'71, -1 WAR*) | 1.0 | 50 | 21.5%* | 11.9%* | 1.05* | 4.68* |
| Bill Wilson ('69-'73, -0 WAR*) | 1.3 | 52 | 20.3%* | 11.5%* | 1.13* | 4.84* |