Jeremy Pilon
P FCL Rays| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 18 | MIX2 levels | 16 | 12 | 61 | 3.26 | 3.28 | 31.8% | 17.6% | — | K 22.1% · BB 21.7% · FIP 4.86 |
| 2025 | 19 | MIX2 levels | 8 | 8 | 28 | 4.45 | 3.52 | 23.0% | 15.1% | — | K 15.2% · BB 20.1% · FIP 4.36 |
| 2026 | 20 | MIX2 levels | 17 | 7 | 58 | 4.06 | 2.79 | 27.6% | 16.1% | — | K 19.1% · BB 19.7% · FIP 3.99 |
| 2027PROJ | 21 | MLBTB | — | — | 0 | 5.59 | 5.59 | 20.7% | 18.8% | — | |
| 2028PROJ49% MLB | 22 | MLBTB | 4 | 4 | 21 | 5.20 | 5.05 | 21.9% | 15.7% | 0.1 | |
| 2029PROJ73% MLB | 23 | MLBTB | 5 | 5 | 31 | 4.88 | 4.71 | 22.7% | 13.7% | 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 | 18 | MIX MLE | 2 levels | 16 | 12 | 61 | 261 | 83 | 46 | 3 | 75% | 3.8 | 22.1% | 21.7% | 0.5% | 1.6% | 3.26 | 4.86 | — |
| 2024 | 18 | MIX MLE | 2 levels | 16 | 12 | 61 | 261 | 83 | 46 | 3 | 75% | 3.8 | 22.1% | 21.7% | 0.5% | 1.6% | 3.26 | 4.86 | — |
| 2024 | 18 | MIX RAW | 2 levels | 16 | 12 | 61 | 261 | 83 | 46 | 3 | 75% | 3.8 | 31.8% | 17.6% | 14.2% | 1.1% | 3.26 | 3.28 | — |
| 2025 | 19 | MIX MLE | 2 levels | 8 | 8 | 28 | 126 | 29 | 19 | 1 | 100% | 3.5 | 15.2% | 20.1% | -4.9% | 0.0% | 4.45 | 4.36 | — |
| 2025 | 19 | MIX MLE | 2 levels | 8 | 8 | 28 | 126 | 29 | 19 | 1 | 100% | 3.5 | 15.2% | 20.1% | -4.9% | 0.0% | 4.45 | 4.36 | — |
| 2025 | 19 | MIX RAW | 2 levels | 8 | 8 | 28 | 126 | 29 | 19 | 1 | 100% | 3.5 | 23.0% | 15.1% | 7.9% | 0.8% | 4.45 | 3.52 | — |
| 2026 | 20 | MIX MLE | 2 levels | 17 | 7 | 58 | 261 | 72 | 42 | 0 | 41% | 3.4 | 19.1% | 19.7% | -0.7% | 0.0% | 4.06 | 3.99 | — |
| 2026 | 20 | MIX MLE | 2 levels | 17 | 7 | 58 | 261 | 72 | 42 | 0 | 41% | 3.4 | 19.1% | 19.7% | -0.7% | 0.0% | 4.06 | 3.99 | — |
| 2026 | 20 | MIX RAW | 2 levels | 17 | 7 | 58 | 261 | 72 | 42 | 0 | 41% | 3.4 | 27.6% | 16.1% | 11.5% | 0.0% | 4.06 | 2.79 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 21 | MLB | TB | — | — | 0 | — | — | — | — | — | — | 20.7% | 18.8% | 1.9% | 2.7% | 5.59 | 5.59 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 22 | MLB MLE | TB | 7 | 7 | 43 | 181 | 40 | 28 | 5 | 100% | 6.1 | 21.9% | 15.7% | 6.1% | 2.7% | 5.24 | 5.09 | +0.1 |
| 2029 | 23 | MLB MLE | TB | 7 | 7 | 43 | 181 | 41 | 25 | 5 | 100% | 6.1 | 22.7% | 13.7% | 9.0% | 2.6% | 4.92 | 4.75 | +0.3 |
| 2030 | 24 | MLB MLE | TB | 7 | 7 | 43 | 181 | 42 | 22 | 5 | 100% | 6.1 | 23.3% | 12.4% | 10.9% | 2.6% | 4.68 | 4.53 | +0.4 |
| 2031 | 25 | MLB MLE | TB | 7 | 7 | 42 | 177 | 42 | 20 | 5 | 100% | 6.0 | 23.7% | 11.5% | 12.2% | 2.6% | 4.50 | 4.38 | +0.5 |
| 2032 | 26 | MLB MLE | TB | 7 | 7 | 42 | 178 | 43 | 20 | 5 | 100% | 6.0 | 23.9% | 11.5% | 12.4% | 2.6% | 4.41 | 4.36 | +0.5 |
| 2033 | 27 | MLB MLE | TB | 7 | 7 | 41 | 174 | 41 | 20 | 5 | 100% | 5.9 | 23.9% | 11.5% | 12.3% | 2.7% | 4.40 | 4.40 | +0.5 |
| 2028 | 22 | MLB CTX | TB | 4 | 4 | 21 | 89 | 19 | 14 | 2 | 100% | 5.2 | 21.9% | 15.7% | 6.1% | 2.6% | 5.20 | 5.05 | +0.1 |
| 2029 | 23 | MLB CTX | TB | 5 | 5 | 31 | 131 | 30 | 18 | 3 | 100% | 6.2 | 22.7% | 13.7% | 9.0% | 2.6% | 4.88 | 4.71 | +0.2 |
| 2030 | 24 | MLB CTX | TB | 6 | 6 | 35 | 148 | 34 | 18 | 4 | 100% | 5.8 | 23.3% | 12.4% | 10.9% | 2.6% | 4.64 | 4.49 | +0.4 |
| 2031 | 25 | MLB CTX | TB | 6 | 6 | 37 | 156 | 37 | 18 | 4 | 100% | 6.2 | 23.7% | 11.5% | 12.2% | 2.6% | 4.46 | 4.34 | +0.4 |
| 2032 | 26 | MLB CTX | TB | 6 | 6 | 39 | 165 | 39 | 19 | 4 | 100% | 6.5 | 23.9% | 11.5% | 12.4% | 2.6% | 4.37 | 4.32 | +0.5 |
| 2033 | 27 | MLB CTX | TB | 6 | 6 | 38 | 160 | 38 | 18 | 4 | 100% | 6.3 | 23.9% | 11.5% | 12.3% | 2.6% | 4.36 | 4.36 | +0.4 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 34 | 34 | 201 | 850 | 198 | 106 | 22 | 100% | 5.9 | 23.3% | 12.4% | 10.9% | 2.6% | 4.60 | 4.12 | +3.1 | |
| / 200 IP | — | RAW | 34 | 34 | 200 | 844 | 197 | 105 | 22 | 100% | 5.9 | 23.3% | 12.4% | 10.9% | 2.6% | 4.60 | 4.12 | +3.0 | |
| Career | — | MLE | 41 | 27 | 147 | 648 | 127 | 133 | 4 | 66% | 3.6 | 19.5% | 20.6% | -1.0% | 0.6% | 3.80 | 4.41 | +2.4 | |
| / 200 IP | — | MLE | 56 | 37 | 200 | 884 | 173 | 182 | 6 | 66% | 3.6 | 19.5% | 20.6% | -1.0% | 0.6% | 3.80 | 4.41 | +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 ROKFCL Rays · 49 IPFIP 2.42 → 3.60 (+1.18)K% 28.0% → 19.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 27.96% | — | ×0.680 | 19.01% |
| BB% (unintentional) /BF | 13.27% | — | ×1.250 | 16.59% |
| HR / BF /BF | 0.00% | ÷1.000 | ×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 100).
Result: FIP 2.42 → 3.60, 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).
2026 ACharleston RiverDogs · 9 IPFIP 4.45 → 5.66 (+1.21)K% 26.0% → 19.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 26.00% | — | ×0.740 | 19.24% |
| BB% (unintentional) /BF | 28.00% | — | ×1.180 | 33.04% |
| HR / BF /BF | 0.00% | ÷1.000 | ×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 100).
Result: FIP 4.45 → 5.66, 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 Rays · 25 IPFIP 3.25 → 4.36 (+1.11)K% 22.3% → 15.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 22.32% | — | ×0.680 | 15.18% |
| BB% (unintentional) /BF | 16.07% | — | ×1.250 | 20.09% |
| HR / BF /BF | 0.00% | ÷0.809 | ×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 62).
Result: FIP 3.25 → 4.36, 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 Rays · 47 IPFIP 3.38 → 5.04 (+1.67)K% 30.7% → 20.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 30.65% | — | ×0.680 | 20.84% |
| BB% (unintentional) /BF | 16.08% | — | ×1.250 | 20.10% |
| HR / BF /BF | 1.51% | ÷1.002 | ×1.400 | 2.11% |
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 3.38 → 5.04, 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 ACharleston RiverDogs · 14 IPFIP 2.96 → 4.26 (+1.29)K% 35.5% → 26.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 35.48% | — | ×0.740 | 26.26% |
| BB% (unintentional) /BF | 22.58% | — | ×1.180 | 26.65% |
| HR / BF /BF | 0.00% | ÷0.824 | ×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 65).
Result: FIP 2.96 → 4.26, 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 | 41 | 22.9% | 13.4% | 1.03 | 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* |
| John Hudek ('99) | 1.0 | 40 | 23.0% | 13.7% | 1.30 | 4.43 |
| Matt Anderson ('05) | 1.3 | 51 | 19.3% | 13.5% | 1.05 | 5.19 |
| Fred Lasher ('63-'71, -1 WAR*) | 1.0 | 50 | 21.5%* | 11.9%* | 1.05* | 4.68* |
| Ed Glynn ('75-'85, -0 WAR*) | 1.3 | 53 | 23.5%* | 12.9%* | 1.22* | 4.69* |