Junior Guerra
P Los Angeles Angels| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019 | 34 | MLBMIL | 72 | 0 | 84 | 3.55 | 4.19 | 22.4% | 9.9% | 0.4 | |
| 2020 | 35 | MLBARI | 25 | 0 | 24 | 3.04 | 3.52 | 20.4% | 12.6% | 0.3 | |
| 2021 | 36 | MLBLAA | 41 | 1 | 65 | 6.06 | 4.49 | 19.9% | 14.7% | 0.0 | |
| 2022 | 37 | No MLB games played | |||||||||
| 2023 | 38 | No MLB games played | |||||||||
| 2024 | 39 | No MLB games played | |||||||||
| 2025 | 40 | No MLB games played | |||||||||
| 2026 | 41 | 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) | |||||||||||||||||||
| 2015 | 30 | MIX MLE | 3 levels | 34 | 11 | 87 | 356 | 108 | 33 | 8 | 32% | 2.6 | 26.8% | 10.3% | 16.5% | 1.9% | 3.30 | 3.18 | +1.4 |
| 2015 | 30 | MIX RAW | 3 levels | 34 | 11 | 87 | 356 | 108 | 33 | 8 | 32% | 2.6 | 30.3% | 9.3% | 21.1% | 2.2% | 3.30 | 2.95 | +1.7 |
| 2016 | 31 | MIX MLE | 2 levels | 25 | 25 | 148 | 598 | 125 | 52 | 12 | 100% | 5.9 | 20.4% | 8.8% | 11.6% | 2.0% | 3.03 | 3.57 | +3.3 |
| 2016 | 31 | MIX RAW | 2 levels | 25 | 25 | 148 | 598 | 125 | 52 | 12 | 100% | 5.9 | 20.9% | 8.7% | 12.2% | 2.0% | 3.03 | 3.52 | +3.4 |
| 2017 | 32 | MIX MLE | 3 levels | 28 | 21 | 105 | 457 | 91 | 58 | 20 | 75% | 3.8 | 19.4% | 12.8% | 6.7% | 3.9% | 4.19 | 5.24 | +0.2 |
| 2017 | 32 | MIX RAW | 3 levels | 28 | 21 | 105 | 457 | 91 | 58 | 20 | 75% | 3.8 | 19.9% | 12.7% | 7.2% | 4.4% | 4.19 | 5.49 | -0.1 |
| 2018 | 33 | MIX MLE | 2 levels | 32 | 27 | 147 | 632 | 142 | 56 | 20 | 84% | 4.6 | 22.3% | 9.0% | 13.3% | 3.0% | 3.99 | 3.99 | +2.5 |
| 2018 | 33 | MIX RAW | 2 levels | 32 | 27 | 147 | 632 | 142 | 56 | 20 | 84% | 4.6 | 22.5% | 8.9% | 13.6% | 3.2% | 3.99 | 4.08 | +2.3 |
| 2019 | 34 | MLB MLE | Milwaukee Brewers | 72 | 0 | 84 | 344 | 77 | 34 | 11 | 0% | 1.2 | 22.4% | 9.9% | 12.5% | 3.0% | 3.55 | 4.13 | +0.4 |
| 2019 | 34 | MLB RAW | Milwaukee Brewers | 72 | 0 | 84 | 344 | 77 | 34 | 11 | 0% | 1.2 | 22.4% | 9.9% | 12.5% | 3.2% | 3.55 | 4.19 | +0.4 |
| 2020 | 35 | MLB MLE | Arizona Diamondbacks | 25 | 0 | 24 | 103 | 21 | 13 | 1 | 0% | 0.9 | 20.4% | 12.6% | 7.8% | 1.0% | 3.04 | 3.54 | +0.3 |
| 2020 | 35 | MLB RAW | Arizona Diamondbacks | 25 | 0 | 24 | 103 | 21 | 13 | 1 | 0% | 0.9 | 20.4% | 12.6% | 7.8% | 1.0% | 3.04 | 3.52 | +0.3 |
| 2021 | 36 | MLB MLE | Los Angeles Angels | 41 | 1 | 65 | 307 | 61 | 45 | 6 | 2% | 1.6 | 19.9% | 14.7% | 5.2% | 1.9% | 6.06 | 4.33 | +0.2 |
| 2021 | 36 | MLB RAW | Los Angeles Angels | 41 | 1 | 65 | 307 | 61 | 45 | 6 | 2% | 1.6 | 19.9% | 14.7% | 5.2% | 2.0% | 6.06 | 4.49 | +0.0 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 213 | 61 | 510 | 2189 | 465 | 231 | 66 | 29% | 2.4 | 21.2% | 10.6% | 10.7% | 3.0% | 4.06 | 4.32 | +1.4 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 213 | 61 | 510 | 2189 | 465 | 231 | 66 | 29% | 2.4 | 21.2% | 10.6% | 10.7% | 3.0% | 4.06 | 4.30 | +1.5 | |
| / 200 IP | — | RAW | 84 | 24 | 200 | 859 | 182 | 91 | 26 | 29% | 2.4 | 21.2% | 10.6% | 10.7% | 3.0% | 4.06 | 4.30 | +0.6 | |
| Career | — | MLE | 257 | 85 | 660 | 2797 | 606 | 297 | 73 | 33% | 2.6 | 21.7% | 10.6% | 11.1% | 2.6% | 3.83 | 4.04 | +1.4 | |
| / 200 IP | — | MLE | 78 | 26 | 200 | 847 | 184 | 90 | 22 | 33% | 2.6 | 21.7% | 10.6% | 11.1% | 2.6% | 3.83 | 4.04 | +0.5 | |
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.
2018 AAAColorado Springs Sky Sox · 6 IPFIP 3.90 → 4.17 (+0.26)K% 28.6% → 25.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 28.57% | — | ×0.880 | 25.14% |
| BB% (unintentional) /BF | 4.76% | — | ×1.050 | 5.00% |
| HR / BF /BF | 4.76% | ÷1.124 | ×1.100 | 4.66% |
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 125).
Result: FIP 3.90 → 4.17, 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 AAAColorado Springs Sky Sox · 30 IPFIP 2.96 → 3.19 (+0.23)K% 16.5% → 14.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 16.53% | — | ×0.880 | 14.55% |
| BB% (unintentional) /BF | 9.92% | — | ×1.050 | 10.41% |
| HR / BF /BF | 0.00% | ÷0.933 | ×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 87).
Result: FIP 2.96 → 3.19, 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 AABiloxi Shuckers · 5 IPFIP 8.28 → 8.05 (−0.23)K% 18.2% → 14.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.18% | — | ×0.810 | 14.73% |
| BB% (unintentional) /BF | 13.64% | — | ×1.100 | 15.00% |
| HR / BF /BF | 9.09% | ÷1.393 | ×1.200 | 7.83% |
Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 179).
Result: FIP 8.28 → 8.05, 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).
2016 AAAColorado Springs Sky Sox · 27 IPFIP 3.46 → 3.90 (+0.44)K% 23.6% → 20.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 23.58% | — | ×0.880 | 20.75% |
| BB% (unintentional) /BF | 10.38% | — | ×1.050 | 10.90% |
| HR / BF /BF | 1.89% | ÷0.973 | ×1.100 | 2.13% |
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 95).
Result: FIP 3.46 → 3.90, 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 AAACharlotte Knights · 64 IPFIP 3.00 → 3.21 (+0.21)K% 29.9% → 26.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 29.92% | — | ×0.880 | 26.33% |
| BB% (unintentional) /BF | 10.98% | — | ×1.050 | 11.53% |
| HR / BF /BF | 1.89% | ÷1.306 | ×1.100 | 1.60% |
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 161).
Result: FIP 3.00 → 3.21, 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 AABirmingham Barons · 20 IPFIP 2.30 → 3.06 (+0.76)K% 35.1% → 28.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 35.14% | — | ×0.810 | 28.46% |
| BB% (unintentional) /BF | 5.41% | — | ×1.100 | 5.95% |
| HR / BF /BF | 2.70% | ÷1.102 | ×1.200 | 2.94% |
Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 120).
Result: FIP 2.30 → 3.06, 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).