Jose Diaz
P FCL Tigers| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | 22 | MIX2 levels | 21 | 0 | 30 | 2.37 | 3.20 | 36.9% | 14.8% | — | K 23.8% · BB 19.3% · FIP 5.94 | |
| 2023 | 23 | ADET | 30 | 0 | 38 | 6.34 | 4.38 | 22.2% | 16.7% | — | K 16.4% · BB 19.7% · FIP 5.18 | |
| 2024 | 24 | ROKDET | 17 | 0 | 26 | 1.37 | 2.87 | 20.4% | 8.0% | — | K 13.8% · BB 10.0% · FIP 3.91 | |
| 2025 | 25 | No MLB games played | ||||||||||
| 2026 | 26 | No MLB games played | ||||||||||
| 2027PROJ | 27 | MLBDET | — | — | 0 | 4.39 | 4.39 | 22.7% | 9.4% | — | ||
| 2028PROJ36% MLB | 28 | MLBDET | 7 | 0 | 7 | 4.44 | 4.47 | 22.7% | 9.5% | 0.0 | ||
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) | |||||||||||||||||||
| 2018 | 18 | ROK MLE | DSL Tigers 2 | 18 | 0 | 28 | 133 | 25 | 27 | 1 | 0% | 1.6 | 12.8% | 25.4% | -12.6% | 1.1% | 5.40 | 5.81 | — |
| 2018 | 18 | ROK RAW | DSL Tigers 2 | 18 | 0 | 28 | 133 | 25 | 27 | 1 | 0% | 1.6 | 18.8% | 20.3% | -1.5% | 0.8% | 5.40 | 4.65 | — |
| 2019 | 19 | ROK MLE | DSL Tigers 2 | 21 | 0 | 32 | 144 | 38 | 12 | 2 | 0% | 1.5 | 17.9% | 10.4% | 7.5% | 1.9% | 3.94 | 3.97 | — |
| 2019 | 19 | ROK RAW | DSL Tigers 2 | 21 | 0 | 32 | 144 | 38 | 12 | 2 | 0% | 1.5 | 26.4% | 8.3% | 18.1% | 1.4% | 3.94 | 2.66 | — |
| 2021 | 21 | ROK MLE | FCL Tigers East | 13 | 12 | 40 | 186 | 45 | 26 | 3 | 92% | 3.1 | 16.5% | 17.5% | -1.0% | 2.5% | 6.30 | 5.27 | — |
| 2021 | 21 | ROK RAW | FCL Tigers East | 13 | 12 | 40 | 186 | 45 | 26 | 3 | 92% | 3.1 | 24.2% | 14.0% | 10.2% | 1.6% | 6.30 | 3.78 | — |
| 2022 | 22 | MIX MLE | 2 levels | 21 | 0 | 30 | 122 | 45 | 18 | 3 | 0% | 1.4 | 23.8% | 19.3% | 4.5% | 4.4% | 2.37 | 5.94 | — |
| 2022 | 22 | MIX RAW | 2 levels | 21 | 0 | 30 | 122 | 45 | 18 | 3 | 0% | 1.4 | 36.9% | 14.8% | 22.1% | 2.5% | 2.37 | 3.20 | — |
| 2023 | 23 | A MLE | Lakeland Flying Tigers | 30 | 0 | 38 | 180 | 40 | 30 | 3 | 0% | 1.3 | 16.4% | 19.7% | -3.2% | 1.8% | 6.34 | 5.18 | — |
| 2023 | 23 | A RAW | Lakeland Flying Tigers | 30 | 0 | 38 | 180 | 40 | 30 | 3 | 0% | 1.3 | 22.2% | 16.7% | 5.6% | 1.7% | 6.34 | 4.38 | — |
| 2024 | 24 | ROK MLE | FCL Tigers | 17 | 0 | 26 | 113 | 23 | 9 | 1 | 0% | 1.5 | 13.8% | 10.0% | 3.9% | 1.3% | 1.37 | 3.91 | — |
| 2024 | 24 | ROK MLE | FCL Tigers | 17 | 0 | 26 | 113 | 23 | 9 | 1 | 0% | 1.5 | 13.8% | 10.0% | 3.9% | 1.3% | 1.37 | 3.91 | — |
| 2024 | 24 | ROK RAW | FCL Tigers | 17 | 0 | 26 | 113 | 23 | 9 | 1 | 0% | 1.5 | 20.4% | 8.0% | 12.4% | 0.9% | 1.37 | 2.87 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 27 | MLB | DET | — | — | 0 | — | — | — | — | — | — | 22.7% | 9.4% | 13.3% | 3.0% | 4.39 | 4.39 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 28 | MLB MLE | DET | 17 | 0 | 18 | 76 | 17 | 7 | 2 | 0% | 1.1 | 22.7% | 9.5% | 13.1% | 3.1% | 4.44 | 4.47 | +0.0 |
| 2028 | 28 | MLB CTX | DET | 7 | 0 | 7 | 30 | 7 | 3 | 1 | 0% | 1.0 | 22.7% | 9.5% | 13.1% | 3.1% | 4.44 | 4.47 | +0.0 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 6 | 0 | 7 | 28 | 6 | 3 | 1 | 0% | 1.1 | 22.7% | 9.5% | 13.1% | 3.1% | 4.44 | 4.09 | +0.0 | |
| / 200 IP | — | RAW | 190 | 0 | 200 | 844 | 183 | 92 | 31 | 0% | 1.1 | 22.7% | 9.5% | 13.1% | 3.1% | 4.44 | 4.09 | +1.1 | |
| Career | — | MLE | 120 | 12 | 195 | 878 | 148 | 151 | 19 | 10% | 1.6 | 16.8% | 17.3% | -0.4% | 2.1% | 4.52 | 5.04 | +0.0 | |
| / 200 IP | — | MLE | 123 | 12 | 200 | 899 | 151 | 155 | 19 | 10% | 1.6 | 16.8% | 17.3% | -0.4% | 2.1% | 4.52 | 5.04 | +0.2 | |
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.
2024 ROKFCL Tigers · 26 IPFIP 2.88 → 3.91 (+1.03)K% 20.4% → 13.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 20.35% | — | ×0.680 | 13.84% |
| BB% (unintentional) /BF | 7.96% | — | ×1.250 | 9.96% |
| HR / BF /BF | 0.88% | ÷0.952 | ×1.400 | 1.30% |
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 90).
Result: FIP 2.88 → 3.91, 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 ALakeland Flying Tigers · 38 IPFIP 4.25 → 5.18 (+0.93)K% 22.2% → 16.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 22.22% | — | ×0.740 | 16.44% |
| BB% (unintentional) /BF | 16.67% | — | ×1.180 | 19.67% |
| HR / BF /BF | 1.67% | ÷1.216 | ×1.300 | 1.78% |
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 143).
Result: FIP 4.25 → 5.18, 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).
2022 ROKFCL Tigers · 24 IPFIP 3.80 → 5.94 (+2.14)K% 35.1% → 23.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 35.05% | — | ×0.680 | 23.84% |
| BB% (unintentional) /BF | 15.46% | — | ×1.250 | 19.33% |
| HR / BF /BF | 3.09% | ÷0.990 | ×1.400 | 4.38% |
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 98).
Result: FIP 3.80 → 5.94, 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).
2022 ALakeland Flying Tigers · 6 IPFIP 0.90 → 2.14 (+1.24)K% 44.0% → 32.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 44.00% | — | ×0.740 | 32.56% |
| BB% (unintentional) /BF | 12.00% | — | ×1.180 | 14.16% |
| HR / BF /BF | 0.00% | ÷1.279 | ×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 156).
Result: FIP 0.90 → 2.14, 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).
2021 ROKFCL Tigers East · 40 IPFIP 3.71 → 5.27 (+1.56)K% 24.2% → 16.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 24.19% | — | ×0.680 | 16.45% |
| BB% (unintentional) /BF | 13.98% | — | ×1.250 | 17.47% |
| HR / BF /BF | 1.61% | ÷0.920 | ×1.400 | 2.45% |
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 84).
Result: FIP 3.71 → 5.27, 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).
2019 ROKDSL Tigers 2 · 32 IPFIP 2.69 → 3.97 (+1.28)K% 26.4% → 17.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 26.39% | — | ×0.680 | 17.94% |
| BB% (unintentional) /BF | 8.33% | — | ×1.250 | 10.42% |
| HR / BF /BF | 1.39% | ÷1.000 | ×1.400 | 1.94% |
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 2.69 → 3.97, 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).
2018 ROKDSL Tigers 2 · 28 IPFIP 4.50 → 5.81 (+1.32)K% 18.8% → 12.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.80% | — | ×0.680 | 12.78% |
| BB% (unintentional) /BF | 20.30% | — | ×1.250 | 25.38% |
| HR / BF /BF | 0.75% | ÷1.000 | ×1.400 | 1.05% |
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 4.50 → 5.81, 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).