Iván Nova
P Detroit Tigers| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 31 | MLBPIT | 29 | 29 | 161 | 4.19 | 4.36 | 16.7% | 4.5% | 2.0 | |
| 2019 | 32 | MLBCWS | 34 | 34 | 187 | 4.72 | 4.70 | 14.1% | 5.7% | 1.5 | |
| 2020 | 33 | MLBDET | 4 | 4 | 19 | 8.53 | 6.31 | 10.2% | 10.2% | -0.2 | |
| 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 | New York Yankees | 10 | 7 | 42 | 185 | 26 | 15 | 4 | 70% | 4.2 | 14.1% | 8.1% | 5.9% | 2.0% | 4.50 | 4.05 | +0.7 |
| 2010 | 23 | MLB RAW | New York Yankees | 10 | 7 | 42 | 185 | 26 | 15 | 4 | 70% | 4.2 | 14.1% | 8.1% | 5.9% | 2.2% | 4.50 | 4.17 | +0.6 |
| 2011 | 24 | MLB MLE | New York Yankees | 28 | 27 | 165 | 704 | 98 | 54 | 13 | 96% | 5.9 | 13.9% | 7.7% | 6.2% | 1.7% | 3.70 | 3.85 | +3.1 |
| 2011 | 24 | MLB RAW | New York Yankees | 28 | 27 | 165 | 704 | 98 | 54 | 13 | 96% | 5.9 | 13.9% | 7.7% | 6.2% | 1.8% | 3.70 | 3.92 | +2.9 |
| 2012 | 25 | MLB MLE | New York Yankees | 28 | 28 | 170 | 748 | 153 | 53 | 28 | 100% | 6.1 | 20.5% | 7.1% | 13.4% | 3.5% | 5.02 | 4.19 | +2.4 |
| 2012 | 25 | MLB RAW | New York Yankees | 28 | 28 | 170 | 748 | 153 | 53 | 28 | 100% | 6.1 | 20.5% | 7.1% | 13.4% | 3.7% | 5.02 | 4.37 | +2.0 |
| 2013 | 26 | MLB MLE | New York Yankees | 23 | 20 | 139 | 586 | 116 | 41 | 9 | 87% | 6.1 | 19.8% | 7.0% | 12.8% | 1.4% | 3.10 | 3.10 | +4.0 |
| 2013 | 26 | MLB RAW | New York Yankees | 23 | 20 | 139 | 586 | 116 | 41 | 9 | 87% | 6.1 | 19.8% | 7.0% | 12.8% | 1.5% | 3.10 | 3.16 | +3.9 |
| 2014 | 27 | MLB MLE | New York Yankees | 4 | 4 | 21 | 96 | 12 | 6 | 6 | 100% | 5.2 | 12.5% | 6.2% | 6.2% | 5.9% | 8.27 | 6.05 | -0.1 |
| 2014 | 27 | MLB RAW | New York Yankees | 4 | 4 | 21 | 96 | 12 | 6 | 6 | 100% | 5.2 | 12.5% | 6.2% | 6.2% | 6.2% | 8.27 | 6.58 | -0.3 |
| 2015 | 28 | MIX MLE | 3 levels | 20 | 20 | 110 | 479 | 73 | 36 | 14 | 100% | 5.5 | 15.3% | 8.0% | 7.3% | 2.9% | 4.92 | 4.44 | +1.2 |
| 2015 | 28 | MIX RAW | 3 levels | 20 | 20 | 110 | 479 | 73 | 36 | 14 | 100% | 5.5 | 15.2% | 7.5% | 7.7% | 2.9% | 4.92 | 4.41 | +1.3 |
| 2016 | 29 | MLB MLE | Pittsburgh Pirates | 32 | 26 | 162 | 684 | 127 | 27 | 23 | 81% | 5.1 | 18.6% | 3.9% | 14.6% | 3.6% | 4.17 | 4.03 | +2.6 |
| 2016 | 29 | MLB RAW | Pittsburgh Pirates | 32 | 26 | 162 | 684 | 127 | 27 | 23 | 81% | 5.1 | 18.6% | 3.9% | 14.6% | 3.4% | 4.17 | 3.88 | +3.0 |
| 2017 | 30 | MLB MLE | Pittsburgh Pirates | 31 | 31 | 187 | 785 | 131 | 34 | 29 | 100% | 6.0 | 16.7% | 4.3% | 12.4% | 4.0% | 4.14 | 4.43 | +2.1 |
| 2017 | 30 | MLB RAW | Pittsburgh Pirates | 31 | 31 | 187 | 785 | 131 | 34 | 29 | 100% | 6.0 | 16.7% | 4.3% | 12.4% | 3.7% | 4.14 | 4.26 | +2.5 |
| 2018 | 31 | MLB MLE | Pittsburgh Pirates | 29 | 29 | 161 | 683 | 114 | 31 | 26 | 100% | 5.6 | 16.7% | 4.5% | 12.2% | 4.1% | 4.19 | 4.52 | +1.6 |
| 2018 | 31 | MLB RAW | Pittsburgh Pirates | 29 | 29 | 161 | 683 | 114 | 31 | 26 | 100% | 5.6 | 16.7% | 4.5% | 12.2% | 3.8% | 4.19 | 4.36 | +2.0 |
| 2019 | 32 | MLB MLE | Chicago White Sox | 34 | 34 | 187 | 806 | 114 | 46 | 30 | 100% | 5.5 | 14.1% | 5.7% | 8.4% | 3.7% | 4.72 | 4.64 | +1.6 |
| 2019 | 32 | MLB RAW | Chicago White Sox | 34 | 34 | 187 | 806 | 114 | 46 | 30 | 100% | 5.5 | 14.1% | 5.7% | 8.4% | 3.7% | 4.72 | 4.70 | +1.5 |
| 2020 | 33 | MLB MLE | Detroit Tigers | 4 | 4 | 19 | 88 | 9 | 9 | 4 | 100% | 4.8 | 10.2% | 10.2% | 0.0% | 4.7% | 8.53 | 6.14 | -0.2 |
| 2020 | 33 | MLB RAW | Detroit Tigers | 4 | 4 | 19 | 88 | 9 | 9 | 4 | 100% | 4.8 | 10.2% | 10.2% | 0.0% | 4.5% | 8.53 | 6.31 | -0.2 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 240 | 227 | 1348 | 5778 | 963 | 349 | 185 | 95% | 5.6 | 16.7% | 6.0% | 10.6% | 3.2% | 4.38 | 4.23 | +18.5 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 240 | 227 | 1348 | 5778 | 963 | 349 | 185 | 95% | 5.6 | 16.7% | 6.0% | 10.6% | 3.2% | 4.38 | 4.22 | +18.8 | |
| / 200 IP | — | RAW | 36 | 34 | 200 | 857 | 143 | 52 | 27 | 95% | 5.6 | 16.7% | 6.0% | 10.6% | 3.2% | 4.38 | 4.22 | +2.8 | |
| Career | — | MLE | 243 | 230 | 1363 | 5844 | 973 | 354 | 188 | 95% | 5.6 | 16.7% | 6.1% | 10.6% | 3.2% | 4.38 | 4.23 | +18.5 | |
| / 200 IP | — | MLE | 36 | 34 | 200 | 857 | 143 | 52 | 28 | 95% | 5.6 | 16.7% | 6.1% | 10.6% | 3.2% | 4.38 | 4.23 | +2.8 | |
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.
2015 AAAScranton/Wilkes-Barre RailRiders · 11 IPFIP 3.83 → 4.33 (+0.50)K% 15.2% → 13.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 15.22% | — | ×0.880 | 13.39% |
| BB% (unintentional) /BF | 6.52% | — | ×1.050 | 6.85% |
| HR / BF /BF | 2.17% | ÷0.878 | ×1.100 | 2.72% |
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 76).
Result: FIP 3.83 → 4.33, 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).
2015 A+Tampa Yankees · 5 IPFIP 1.83 → 2.12 (+0.29)K% 15.0% → 11.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 15.00% | — | ×0.770 | 11.55% |
| BB% (unintentional) /BF | 0.00% | — | ×1.150 | 0.00% |
| HR / BF /BF | 0.00% | ÷0.832 | ×1.250 | 0.00% |
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 66).
Result: FIP 1.83 → 2.12, 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).