Tyler Lyons
P New York Yankees| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 30 | MIX3 levels | 37 | 3 | 41 | 5.27 | 3.95 | 23.3% | 7.4% | 0.3 | K 22.9% · BB 7.5% · FIP 4.01 | |
| 2019 | 31 | MIX2 levels | 52 | 0 | 63 | 3.86 | 3.35 | 30.0% | 8.6% | 0.9 | K 27.2% · BB 8.9% · FIP 3.60 | |
| 2020 | 32 | MLBNYY | 1 | 0 | 2 | 21.60 | 4.90 | 0.0% | 10.0% | -0.0 | ||
| 2021 | 33 | No MLB games played | ||||||||||
| 2022 | 34 | No MLB games played | ||||||||||
| 2023 | 35 | No MLB games played | ||||||||||
| 2024 | 36 | No MLB games played | ||||||||||
| 2025 | 37 | No MLB games played | ||||||||||
| 2026 | 38 | 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) | |||||||||||||||||||
| 2013 | 25 | MLB MLE | St. Louis Cardinals | 12 | 8 | 53 | 223 | 43 | 16 | 5 | 67% | 4.4 | 19.3% | 7.2% | 12.1% | 2.4% | 4.75 | 3.70 | +1.1 |
| 2013 | 25 | MLB RAW | St. Louis Cardinals | 12 | 8 | 53 | 223 | 43 | 16 | 5 | 67% | 4.4 | 19.3% | 7.2% | 12.1% | 2.2% | 4.75 | 3.61 | +1.1 |
| 2014 | 26 | MLB MLE | St. Louis Cardinals | 11 | 4 | 37 | 155 | 36 | 9 | 4 | 36% | 3.3 | 23.2% | 5.8% | 17.4% | 2.8% | 4.42 | 3.40 | +0.5 |
| 2014 | 26 | MLB RAW | St. Louis Cardinals | 11 | 4 | 37 | 155 | 36 | 9 | 4 | 36% | 3.3 | 23.2% | 5.8% | 17.4% | 2.6% | 4.42 | 3.29 | +0.6 |
| 2015 | 27 | MIX MLE | 2 levels | 33 | 24 | 155 | 652 | 156 | 28 | 24 | 73% | 4.7 | 22.2% | 4.4% | 17.8% | 3.6% | 3.37 | 3.78 | +3.0 |
| 2015 | 27 | MIX RAW | 2 levels | 33 | 24 | 155 | 652 | 156 | 28 | 24 | 73% | 4.7 | 23.9% | 4.3% | 19.6% | 3.7% | 3.37 | 3.64 | +3.3 |
| 2016 | 28 | MLB MLE | St. Louis Cardinals | 30 | 0 | 48 | 187 | 46 | 14 | 9 | 0% | 1.6 | 24.6% | 7.5% | 17.1% | 5.2% | 3.38 | 4.81 | -0.1 |
| 2016 | 28 | MLB RAW | St. Louis Cardinals | 30 | 0 | 48 | 187 | 46 | 14 | 9 | 0% | 1.6 | 24.6% | 7.5% | 17.1% | 4.8% | 3.38 | 4.50 | +0.0 |
| 2017 | 29 | MIX MLE | 4 levels | 56 | 6 | 79 | 320 | 89 | 21 | 6 | 11% | 1.4 | 28.5% | 7.3% | 21.2% | 1.9% | 2.95 | 2.65 | +1.8 |
| 2017 | 29 | MIX RAW | 4 levels | 56 | 6 | 79 | 320 | 89 | 21 | 6 | 11% | 1.4 | 27.8% | 6.6% | 21.3% | 1.9% | 2.95 | 2.63 | +1.8 |
| 2018 | 30 | MIX MLE | 3 levels | 37 | 3 | 41 | 176 | 41 | 13 | 6 | 8% | 1.1 | 22.9% | 7.5% | 15.4% | 3.4% | 5.27 | 4.01 | +0.3 |
| 2018 | 30 | MIX RAW | 3 levels | 37 | 3 | 41 | 176 | 41 | 13 | 6 | 8% | 1.1 | 23.3% | 7.4% | 15.9% | 3.4% | 5.27 | 3.95 | +0.3 |
| 2019 | 31 | MIX MLE | 2 levels | 52 | 0 | 63 | 257 | 77 | 22 | 8 | 0% | 1.2 | 27.2% | 8.9% | 18.2% | 3.0% | 3.86 | 3.60 | +0.7 |
| 2019 | 31 | MIX RAW | 2 levels | 52 | 0 | 63 | 257 | 77 | 22 | 8 | 0% | 1.2 | 30.0% | 8.6% | 21.4% | 3.1% | 3.86 | 3.35 | +0.9 |
| 2020 | 32 | MLB MLE | New York Yankees | 1 | 0 | 2 | 10 | 0 | 1 | 0 | 0% | 1.7 | 0.0% | 10.0% | -10.0% | 0.0% | 21.60 | 4.37 | +0.0 |
| 2020 | 32 | MLB RAW | New York Yankees | 1 | 0 | 2 | 10 | 0 | 1 | 0 | 0% | 1.7 | 0.0% | 10.0% | -10.0% | 0.0% | 21.60 | 4.90 | -0.0 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 162 | 20 | 283 | 1187 | 289 | 82 | 40 | 12% | 1.7 | 24.3% | 6.9% | 17.4% | 3.4% | 4.30 | 3.77 | +2.6 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 162 | 20 | 283 | 1187 | 289 | 82 | 40 | 12% | 1.7 | 24.3% | 6.9% | 17.4% | 3.4% | 4.30 | 3.77 | +2.6 | |
| / 200 IP | — | RAW | 115 | 14 | 200 | 840 | 204 | 58 | 28 | 12% | 1.7 | 24.3% | 6.9% | 17.4% | 3.4% | 4.30 | 3.77 | +1.9 | |
| Career | — | MLE | 232 | 45 | 477 | 1980 | 471 | 128 | 63 | 19% | 2.1 | 23.8% | 6.5% | 17.3% | 3.2% | 3.83 | 3.66 | +2.6 | |
| / 200 IP | — | MLE | 97 | 19 | 200 | 830 | 197 | 54 | 26 | 19% | 2.1 | 23.8% | 6.5% | 17.3% | 3.2% | 3.83 | 3.66 | +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.
2019 AAAScranton/Wilkes-Barre RailRiders · 50 IPFIP 2.87 → 3.24 (+0.37)K% 29.6% → 26.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 29.56% | — | ×0.880 | 26.01% |
| BB% (unintentional) /BF | 9.36% | — | ×1.050 | 9.83% |
| HR / BF /BF | 1.97% | ÷1.087 | ×1.100 | 1.99% |
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 117).
Result: FIP 2.87 → 3.24, 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 AAAMemphis Redbirds · 22 IPFIP 3.20 → 3.80 (+0.59)K% 25.9% → 22.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.93% | — | ×0.880 | 22.81% |
| BB% (unintentional) /BF | 7.41% | — | ×1.050 | 7.78% |
| HR / BF /BF | 2.47% | ÷0.909 | ×1.100 | 2.99% |
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 82).
Result: FIP 3.20 → 3.80, 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).
2017 AAAMemphis Redbirds · 18 IPFIP 3.16 → 3.62 (+0.46)K% 23.9% → 21.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 23.94% | — | ×0.880 | 21.07% |
| BB% (unintentional) /BF | 4.23% | — | ×1.050 | 4.44% |
| HR / BF /BF | 2.82% | ÷0.980 | ×1.100 | 3.16% |
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 96).
Result: FIP 3.16 → 3.62, 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 AAAMemphis Redbirds · 95 IPFIP 3.13 → 3.23 (+0.10)K% 24.2% → 21.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 24.18% | — | ×0.880 | 21.28% |
| BB% (unintentional) /BF | 3.27% | — | ×1.050 | 3.44% |
| HR / BF /BF | 3.02% | ÷1.224 | ×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 145).
Result: FIP 3.13 → 3.23, 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).