Tanner Roark
| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019 | 32 | MLBOakland Athle… | 31 | 31 | 165 | 4.35 | 4.30 | 21.9% | 6.9% | 2.1 | ||
| 2020 | 33 | MLBTOR | 11 | 11 | 48 | 6.80 | 6.65 | 18.6% | 10.5% | -0.6 | ||
| 2021 | 34 | MIX2 levels | 27 | 4 | 53 | 2.70 | 3.49 | 22.4% | 8.2% | 0.7 | K 20.6% · BB 8.9% · FIP 3.13 | |
| 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 | ||||||||||
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 30 | MLBWSH | 63 | .091/.107/.109 | 0 | 0 | -54 | -1.0 | |
| 2018 | 31 | MLBWSH | 65 | .190/.217/.259 | 0 | 0 | 23 | -0.5 | |
| 2019 | 32 | MLBCIN | 34 | .152/.152/.273 | 1 | 0 | 4 | -0.3 | |
| 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 | |||||||
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) | |||||||||||||||||||
| 2013 | 26 | MLB MLE | Washington Nationals | 14 | 5 | 54 | 204 | 40 | 11 | 1 | 36% | 3.8 | 19.6% | 5.4% | 14.2% | 0.5% | 1.51 | 2.40 | +1.5 |
| 2013 | 26 | MLB RAW | Washington Nationals | 14 | 5 | 54 | 204 | 40 | 11 | 1 | 36% | 3.8 | 19.6% | 5.4% | 14.2% | 0.5% | 1.51 | 2.47 | +1.4 |
| 2014 | 27 | MLB MLE | Washington Nationals | 31 | 31 | 199 | 798 | 138 | 38 | 16 | 100% | 6.4 | 17.3% | 4.8% | 12.5% | 2.0% | 2.85 | 3.34 | +5.1 |
| 2014 | 27 | MLB RAW | Washington Nationals | 31 | 31 | 199 | 798 | 138 | 38 | 16 | 100% | 6.4 | 17.3% | 4.8% | 12.5% | 2.0% | 2.85 | 3.33 | +5.1 |
| 2015 | 28 | MIX MLE | 3 levels | 42 | 14 | 117 | 489 | 77 | 23 | 17 | 33% | 2.8 | 15.0% | 4.9% | 10.1% | 3.6% | 4.23 | 4.46 | +0.1 |
| 2015 | 28 | MIX RAW | 3 levels | 42 | 14 | 117 | 489 | 77 | 23 | 17 | 33% | 2.8 | 15.7% | 4.7% | 11.0% | 3.5% | 4.23 | 4.26 | +0.4 |
| 2016 | 29 | MLB MLE | Washington Nationals | 34 | 33 | 210 | 855 | 172 | 69 | 17 | 97% | 6.2 | 20.1% | 8.1% | 12.0% | 2.0% | 2.83 | 3.51 | +4.9 |
| 2016 | 29 | MLB RAW | Washington Nationals | 34 | 33 | 210 | 855 | 172 | 69 | 17 | 97% | 6.2 | 20.1% | 8.1% | 12.0% | 2.0% | 2.83 | 3.50 | +4.9 |
| 2017 | 30 | MLB MLE | Washington Nationals | 32 | 30 | 181 | 776 | 166 | 59 | 23 | 94% | 5.7 | 21.4% | 7.6% | 13.8% | 3.0% | 4.67 | 3.88 | +3.3 |
| 2017 | 30 | MLB RAW | Washington Nationals | 32 | 30 | 181 | 776 | 166 | 59 | 23 | 94% | 5.7 | 21.4% | 7.6% | 13.8% | 3.0% | 4.67 | 3.89 | +3.3 |
| 2018 | 31 | MLB MLE | Washington Nationals | 31 | 30 | 180 | 760 | 146 | 47 | 24 | 97% | 5.8 | 19.2% | 6.2% | 13.0% | 3.2% | 4.34 | 3.99 | +3.0 |
| 2018 | 31 | MLB RAW | Washington Nationals | 31 | 30 | 180 | 760 | 146 | 47 | 24 | 97% | 5.8 | 19.2% | 6.2% | 13.0% | 3.2% | 4.34 | 3.99 | +3.0 |
| 2019 | 32 | MLB MLE | Oakland Athletics | 31 | 31 | 165 | 722 | 158 | 50 | 28 | 100% | 5.3 | 21.9% | 6.9% | 15.0% | 4.3% | 4.35 | 4.47 | +1.8 |
| 2019 | 32 | MLB RAW | Oakland Athletics | 31 | 31 | 165 | 722 | 158 | 50 | 28 | 100% | 5.3 | 21.9% | 6.9% | 15.0% | 3.9% | 4.35 | 4.30 | +2.1 |
| 2020 | 33 | MLB MLE | Toronto Blue Jays | 11 | 11 | 48 | 220 | 41 | 23 | 14 | 100% | 4.3 | 18.6% | 10.5% | 8.2% | 6.4% | 6.80 | 6.34 | -0.5 |
| 2020 | 33 | MLB RAW | Toronto Blue Jays | 11 | 11 | 48 | 220 | 41 | 23 | 14 | 100% | 4.3 | 18.6% | 10.5% | 8.2% | 6.4% | 6.80 | 6.65 | -0.6 |
| 2021 | 34 | MIX MLE | 2 levels | 27 | 4 | 53 | 219 | 49 | 18 | 5 | 15% | 2.0 | 20.6% | 8.9% | 11.7% | 1.2% | 2.70 | 3.13 | +0.9 |
| 2021 | 34 | MIX RAW | 2 levels | 27 | 4 | 53 | 219 | 49 | 18 | 5 | 15% | 2.0 | 22.4% | 8.2% | 14.2% | 2.3% | 2.70 | 3.49 | +0.7 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 227 | 184 | 1155 | 4833 | 936 | 322 | 143 | 81% | 5.1 | 19.4% | 6.7% | 12.7% | 3.0% | 3.85 | 3.93 | +20.3 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 227 | 184 | 1155 | 4833 | 936 | 322 | 143 | 81% | 5.1 | 19.4% | 6.7% | 12.7% | 3.0% | 3.85 | 3.93 | +20.2 | |
| / 200 IP | — | RAW | 39 | 32 | 200 | 837 | 162 | 56 | 25 | 81% | 5.1 | 19.4% | 6.7% | 12.7% | 3.0% | 3.85 | 3.93 | +3.5 | |
| Career | — | MLE | 253 | 189 | 1207 | 5043 | 979 | 341 | 146 | 75% | 4.8 | 19.4% | 6.8% | 12.7% | 2.9% | 3.77 | 3.91 | +20.3 | |
| / 200 IP | — | MLE | 42 | 31 | 200 | 835 | 162 | 56 | 24 | 75% | 4.8 | 19.4% | 6.8% | 12.7% | 2.9% | 3.77 | 3.91 | +3.5 | |
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.
2021 AAAGwinnett Stripers · 46 IPFIP 2.79 → 3.13 (+0.35)K% 23.4% → 20.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 23.40% | — | ×0.880 | 20.60% |
| BB% (unintentional) /BF | 8.51% | — | ×1.050 | 8.94% |
| HR / BF /BF | 1.06% | ÷1.001 | ×1.100 | 1.17% |
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 100).
Result: FIP 2.79 → 3.13, 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).