Jordarlin Mendoza
P Tampa Tarpons| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 20 | ROKNYY | 5 | 2 | 14 | 3.14 | 2.96 | 32.4% | 14.9% | — | K 22.1% · BB 18.6% · FIP 4.50 |
| 2025 | 21 | MIX2 levels | 12 | 2 | 15 | 6.46 | 4.99 | 16.2% | 17.5% | — | K 14.0% · BB 22.3% · FIP 6.34 |
| 2026 | 22 | ANYY | 37 | 0 | 38 | 8.05 | 4.71 | 25.7% | 14.1% | — | K 19.0% · BB 16.7% · FIP 5.85 |
| 2027PROJ | 23 | MLBNYY | — | — | 0 | 5.50 | 5.50 | 20.2% | 16.0% | — | |
| 2028PROJ43% MLB | 24 | MLBNYY | 10 | 0 | 11 | 5.23 | 5.13 | 21.2% | 13.9% | -0.1 |
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) | |||||||||||||||||||
| 2021 | 17 | ROK MLE | DSL Yankees 2 | 1 | 0 | 2 | 9 | 3 | 1 | 0 | 0% | 2.0 | 33.3% | 11.1% | 22.2% | 0.0% | 0.00 | 1.69 | — |
| 2021 | 17 | ROK RAW | DSL Yankees 2 | 1 | 0 | 2 | 9 | 3 | 1 | 0 | 0% | 2.0 | 33.3% | 11.1% | 22.2% | 0.0% | 0.00 | 1.60 | — |
| 2022 | 18 | ROK MLE | DSL NYY Yankees | 13 | 12 | 55 | 225 | 77 | 19 | 3 | 92% | 4.2 | 23.3% | 10.6% | 12.7% | 1.6% | 2.95 | 3.33 | — |
| 2022 | 18 | ROK RAW | DSL NYY Yankees | 13 | 12 | 55 | 225 | 77 | 19 | 3 | 92% | 4.2 | 34.2% | 8.4% | 25.8% | 1.3% | 2.95 | 2.05 | — |
| 2023 | 19 | ROK MLE | FCL Yankees | 10 | 0 | 29 | 129 | 39 | 24 | 2 | 0% | 2.9 | 20.6% | 23.3% | -2.7% | 1.6% | 4.40 | 5.17 | — |
| 2023 | 19 | ROK RAW | FCL Yankees | 10 | 0 | 29 | 129 | 39 | 24 | 2 | 0% | 2.9 | 30.2% | 18.6% | 11.6% | 1.6% | 4.40 | 3.80 | — |
| 2024 | 20 | ROK MLE | FCL Yankees | 5 | 2 | 14 | 74 | 24 | 11 | 1 | 40% | 2.9 | 22.1% | 18.6% | 3.5% | 1.7% | 3.14 | 4.50 | — |
| 2024 | 20 | ROK MLE | FCL Yankees | 5 | 2 | 14 | 74 | 24 | 11 | 1 | 40% | 2.9 | 22.1% | 18.6% | 3.5% | 1.7% | 3.14 | 4.50 | — |
| 2024 | 20 | ROK RAW | FCL Yankees | 5 | 2 | 14 | 74 | 24 | 11 | 1 | 40% | 2.9 | 32.4% | 14.9% | 17.6% | 1.4% | 3.14 | 2.96 | — |
| 2025 | 21 | MIX MLE | 2 levels | 12 | 2 | 15 | 80 | 13 | 14 | 1 | 17% | 1.3 | 14.0% | 22.3% | -8.3% | 2.9% | 6.46 | 6.34 | — |
| 2025 | 21 | MIX MLE | 2 levels | 12 | 2 | 15 | 80 | 13 | 14 | 1 | 17% | 1.3 | 14.0% | 22.3% | -8.3% | 2.9% | 6.46 | 6.34 | — |
| 2025 | 21 | MIX RAW | 2 levels | 12 | 2 | 15 | 80 | 13 | 14 | 1 | 17% | 1.3 | 16.2% | 17.5% | -1.2% | 1.2% | 6.46 | 4.99 | — |
| 2026 | 22 | A MLE | Tampa Tarpons | 37 | 0 | 38 | 191 | 49 | 27 | 6 | 0% | 1.0 | 19.0% | 16.7% | 2.3% | 4.1% | 8.05 | 5.85 | — |
| 2026 | 22 | A MLE | Tampa Tarpons | 37 | 0 | 38 | 191 | 49 | 27 | 6 | 0% | 1.0 | 19.0% | 16.7% | 2.3% | 4.1% | 8.05 | 5.85 | — |
| 2026 | 22 | A RAW | Tampa Tarpons | 37 | 0 | 38 | 191 | 49 | 27 | 6 | 0% | 1.0 | 25.7% | 14.1% | 11.5% | 3.1% | 8.05 | 4.71 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 23 | MLB | NYY | — | — | 0 | — | — | — | — | — | — | 20.2% | 16.0% | 4.2% | 3.1% | 5.50 | 5.50 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 24 | MLB MLE | NYY | 25 | 0 | 26 | 110 | 23 | 15 | 3 | 0% | 1.0 | 21.2% | 13.9% | 7.3% | 3.1% | 5.23 | 5.13 | -0.2 |
| 2028 | 24 | MLB CTX | NYY | 10 | 0 | 11 | 46 | 10 | 6 | 1 | 0% | 1.1 | 21.2% | 13.9% | 7.3% | 3.1% | 5.23 | 5.13 | -0.1 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 11 | 0 | 11 | 47 | 10 | 7 | 1 | 0% | 1.0 | 21.2% | 13.9% | 7.3% | 3.1% | 5.23 | 4.75 | -0.0 | |
| / 200 IP | — | RAW | 190 | 0 | 200 | 844 | 180 | 126 | 18 | 0% | 1.1 | 21.2% | 13.9% | 7.3% | 3.1% | 5.23 | 4.75 | -0.5 | |
| Career | — | MLE | 78 | 16 | 153 | 708 | 146 | 118 | 17 | 21% | 2.0 | 20.6% | 16.7% | 3.9% | 2.4% | 4.81 | 4.79 | -0.2 | |
| / 200 IP | — | MLE | 102 | 21 | 200 | 923 | 190 | 154 | 22 | 21% | 2.0 | 20.6% | 16.7% | 3.9% | 2.4% | 4.81 | 4.79 | -1.3 | |
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 ATampa Tarpons · 38 IPFIP 4.45 → 5.85 (+1.40)K% 25.7% → 19.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.65% | — | ×0.740 | 18.98% |
| BB% (unintentional) /BF | 14.14% | — | ×1.180 | 16.68% |
| HR / BF /BF | 3.14% | ÷1.000 | ×1.300 | 4.08% |
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 4.45 → 5.85, 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 ATampa Tarpons · 11 IPFIP 4.93 → 6.34 (+1.41)K% 18.9% → 14.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.87% | — | ×0.740 | 13.96% |
| BB% (unintentional) /BF | 18.87% | — | ×1.180 | 22.26% |
| HR / BF /BF | 1.89% | ÷0.842 | ×1.300 | 2.91% |
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 68).
Result: FIP 4.93 → 6.34, 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 ROKFCL Yankees · 5 IPFIP 4.04 → 4.81 (+0.77)K% 11.1% → 7.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 11.11% | — | ×0.680 | 7.56% |
| BB% (unintentional) /BF | 14.81% | — | ×1.250 | 18.52% |
| HR / BF /BF | 0.00% | ÷2.059 | ×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 312).
Result: FIP 4.04 → 4.81, 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 ROKFCL Yankees · 14 IPFIP 2.99 → 4.50 (+1.52)K% 32.4% → 22.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 32.43% | — | ×0.680 | 22.05% |
| BB% (unintentional) /BF | 14.86% | — | ×1.250 | 18.58% |
| HR / BF /BF | 1.35% | ÷1.142 | ×1.400 | 1.66% |
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 128).
Result: FIP 2.99 → 4.50, 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 ROKFCL Yankees · 29 IPFIP 3.75 → 5.17 (+1.42)K% 30.2% → 20.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 30.23% | — | ×0.680 | 20.56% |
| BB% (unintentional) /BF | 18.60% | — | ×1.250 | 23.26% |
| HR / BF /BF | 1.55% | ÷1.383 | ×1.400 | 1.57% |
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 177).
Result: FIP 3.75 → 5.17, 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 NYY Yankees · 55 IPFIP 2.01 → 3.33 (+1.32)K% 34.2% → 23.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 34.22% | — | ×0.680 | 23.27% |
| BB% (unintentional) /BF | 8.44% | — | ×1.250 | 10.56% |
| HR / BF /BF | 1.33% | ÷1.195 | ×1.400 | 1.56% |
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 139).
Result: FIP 2.01 → 3.33, 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).