Jeremy Hellickson
P Washington Nationals| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | 30 | MLBBAL | 30 | 30 | 164 | 5.43 | 5.53 | 13.8% | 6.5% | -0.2 | ||
| 2018 | 31 | MIX2 levels | 20 | 20 | 96 | 4.31 | 4.11 | 17.4% | 5.5% | 1.5 | K 17.6% · BB 5.1% · FIP 3.90 | |
| 2019 | 32 | MIX2 levels | 14 | 12 | 56 | 5.01 | 4.70 | 20.6% | 8.3% | 0.5 | K 17.8% · BB 8.5% · FIP 4.93 | |
| 2020 | 33 | No MLB games played | ||||||||||
| 2021 | 34 | No MLB games played | ||||||||||
| 2022 | 35 | No MLB games played | ||||||||||
| 2023 | 36 | No MLB games played | ||||||||||
| 2024 | 37 | No MLB games played | ||||||||||
| 2025 | 38 | No MLB games played | ||||||||||
| 2026 | 39 | No MLB games played | ||||||||||
Statcast · 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) | |||||||||||||||||||
| 2010 | 23 | MLB MLE | Tampa Bay Rays | 10 | 4 | 36 | 149 | 33 | 6 | 5 | 40% | 3.6 | 22.1% | 4.0% | 18.1% | 3.5% | 3.47 | 3.63 | +0.4 |
| 2010 | 23 | MLB RAW | Tampa Bay Rays | 10 | 4 | 36 | 149 | 33 | 6 | 5 | 40% | 3.6 | 22.1% | 4.0% | 18.1% | 3.4% | 3.47 | 3.57 | +0.4 |
| 2011 | 24 | MLB MLE | Tampa Bay Rays | 29 | 29 | 189 | 774 | 117 | 64 | 21 | 100% | 6.5 | 15.1% | 8.3% | 6.8% | 2.8% | 2.95 | 4.40 | +2.2 |
| 2011 | 24 | MLB RAW | Tampa Bay Rays | 29 | 29 | 189 | 774 | 117 | 64 | 21 | 100% | 6.5 | 15.1% | 8.3% | 6.8% | 2.7% | 2.95 | 4.32 | +2.4 |
| 2012 | 25 | MLB MLE | Tampa Bay Rays | 31 | 31 | 177 | 741 | 124 | 56 | 25 | 100% | 5.7 | 16.7% | 7.6% | 9.2% | 3.5% | 3.10 | 4.55 | +1.7 |
| 2012 | 25 | MLB RAW | Tampa Bay Rays | 31 | 31 | 177 | 741 | 124 | 56 | 25 | 100% | 5.7 | 16.7% | 7.6% | 9.2% | 3.4% | 3.10 | 4.48 | +1.9 |
| 2013 | 26 | MLB MLE | Tampa Bay Rays | 32 | 31 | 174 | 737 | 135 | 50 | 24 | 97% | 5.4 | 18.3% | 6.8% | 11.5% | 3.3% | 5.17 | 4.25 | +2.4 |
| 2013 | 26 | MLB RAW | Tampa Bay Rays | 32 | 31 | 174 | 737 | 135 | 50 | 24 | 97% | 5.4 | 18.3% | 6.8% | 11.5% | 3.3% | 5.17 | 4.20 | +2.5 |
| 2014 | 27 | MLB MLE | Tampa Bay Rays | 13 | 13 | 64 | 281 | 54 | 20 | 8 | 100% | 4.9 | 19.2% | 7.1% | 12.1% | 2.9% | 4.52 | 3.99 | +1.1 |
| 2014 | 27 | MLB RAW | Tampa Bay Rays | 13 | 13 | 64 | 281 | 54 | 20 | 8 | 100% | 4.9 | 19.2% | 7.1% | 12.1% | 2.8% | 4.52 | 3.98 | +1.1 |
| 2015 | 28 | MIX MLE | 2 levels | 28 | 28 | 152 | 660 | 125 | 41 | 22 | 100% | 5.4 | 19.0% | 6.3% | 12.7% | 3.4% | 4.62 | 4.17 | +2.2 |
| 2015 | 28 | MIX RAW | 2 levels | 28 | 28 | 152 | 660 | 125 | 41 | 22 | 100% | 5.4 | 18.9% | 6.2% | 12.7% | 3.3% | 4.62 | 4.15 | +2.3 |
| 2016 | 29 | MLB MLE | Philadelphia Phillies | 32 | 32 | 189 | 772 | 154 | 45 | 24 | 100% | 5.9 | 19.9% | 5.8% | 14.1% | 2.9% | 3.71 | 3.74 | +3.8 |
| 2016 | 29 | MLB RAW | Philadelphia Phillies | 32 | 32 | 189 | 772 | 154 | 45 | 24 | 100% | 5.9 | 19.9% | 5.8% | 14.1% | 3.1% | 3.71 | 3.84 | +3.6 |
| 2017 | 30 | MLB MLE | Baltimore Orioles | 30 | 30 | 164 | 695 | 96 | 45 | 35 | 100% | 5.5 | 13.8% | 6.5% | 7.3% | 4.5% | 5.43 | 5.25 | +0.3 |
| 2017 | 30 | MLB RAW | Baltimore Orioles | 30 | 30 | 164 | 695 | 96 | 45 | 35 | 100% | 5.5 | 13.8% | 6.5% | 7.3% | 5.0% | 5.43 | 5.53 | -0.2 |
| 2018 | 31 | MIX MLE | 2 levels | 20 | 20 | 96 | 397 | 69 | 22 | 13 | 100% | 4.8 | 17.6% | 5.1% | 12.4% | 3.0% | 4.31 | 3.90 | +1.7 |
| 2018 | 31 | MIX RAW | 2 levels | 20 | 20 | 96 | 397 | 69 | 22 | 13 | 100% | 4.8 | 17.4% | 5.5% | 11.8% | 3.3% | 4.31 | 4.11 | +1.5 |
| 2019 | 32 | MIX MLE | 2 levels | 14 | 12 | 56 | 253 | 52 | 21 | 10 | 86% | 4.0 | 17.8% | 8.5% | 9.3% | 4.1% | 5.01 | 4.93 | +0.3 |
| 2019 | 32 | MIX RAW | 2 levels | 14 | 12 | 56 | 253 | 52 | 21 | 10 | 86% | 4.0 | 20.6% | 8.3% | 12.3% | 4.0% | 5.01 | 4.70 | +0.5 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 232 | 224 | 1269 | 5338 | 929 | 364 | 184 | 97% | 5.5 | 17.4% | 6.8% | 10.6% | 3.4% | 4.13 | 4.38 | +15.1 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 232 | 224 | 1269 | 5338 | 929 | 364 | 184 | 97% | 5.5 | 17.4% | 6.8% | 10.6% | 3.4% | 4.13 | 4.39 | +15.0 | |
| / 200 IP | — | RAW | 37 | 35 | 200 | 841 | 146 | 57 | 29 | 97% | 5.5 | 17.4% | 6.8% | 10.6% | 3.4% | 4.13 | 4.39 | +2.4 | |
| Career | — | MLE | 239 | 230 | 1297 | 5459 | 953 | 369 | 184 | 96% | 5.4 | 17.5% | 6.8% | 10.7% | 3.4% | 4.17 | 4.33 | +15.1 | |
| / 200 IP | — | MLE | 37 | 35 | 200 | 842 | 147 | 57 | 28 | 96% | 5.4 | 17.5% | 6.8% | 10.7% | 3.4% | 4.17 | 4.33 | +2.4 | |
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.
2019 ROKGCL Nationals · 17 IPFIP 1.59 → 2.85 (+1.25)K% 31.4% → 21.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 31.43% | — | ×0.680 | 21.37% |
| BB% (unintentional) /BF | 2.86% | — | ×1.250 | 3.57% |
| HR / BF /BF | 1.43% | ÷1.000 | ×1.400 | 2.00% |
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 1.59 → 2.85, 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).
2018 A+Potomac Nationals · 5 IPFIP 7.32 → 8.75 (+1.43)K% 14.8% → 11.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 14.81% | — | ×0.770 | 11.41% |
| BB% (unintentional) /BF | 11.11% | — | ×1.150 | 12.78% |
| HR / BF /BF | 7.41% | ÷1.017 | ×1.250 | 9.10% |
Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 103).
Result: FIP 7.32 → 8.75, 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).
2015 AAAReno Aces · 6 IPFIP 2.22 → 2.42 (+0.20)K% 16.7% → 14.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 16.67% | — | ×0.880 | 14.67% |
| BB% (unintentional) /BF | 4.17% | — | ×1.050 | 4.38% |
| HR / BF /BF | 0.00% | ÷1.027 | ×1.100 | 0.00% |
Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 105).
Result: FIP 2.22 → 2.42, 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).