Matt Garza
P Milwaukee Brewers| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | 31 | MLBMIL | 26 | 25 | 149 | 5.63 | 4.80 | 15.6% | 8.1% | 1.0 | ||
| 2016 | 32 | MIX2 levels | 22 | 22 | 113 | 4.54 | 3.99 | 15.8% | 6.9% | 1.9 | K 15.2% · BB 7.4% · FIP 4.00 | |
| 2017 | 33 | MIX3 levels | 26 | 24 | 125 | 4.88 | 4.70 | 16.5% | 8.2% | 1.0 | K 15.7% · BB 8.1% · FIP 4.57 | |
| 2018 | 34 | No MLB games played | ||||||||||
| 2019 | 35 | No MLB games played | ||||||||||
| 2020 | 36 | No MLB games played | ||||||||||
| 2021 | 37 | No MLB games played | ||||||||||
| 2022 | 38 | No MLB games played | ||||||||||
| 2023 | 39 | No MLB games played | ||||||||||
| 2024 | 40 | No MLB games played | ||||||||||
| 2025 | 41 | No MLB games played | ||||||||||
| 2026 | 42 | No MLB games played | ||||||||||
Grades · 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) | |||||||||||||||||||
| 2006 | 22 | MLB MLE | Minnesota Twins | 10 | 9 | 50 | 232 | 38 | 23 | 6 | 90% | 5.0 | 16.4% | 9.9% | 6.5% | 2.6% | 5.76 | 4.39 | +0.6 |
| 2006 | 22 | MLB RAW | Minnesota Twins | 10 | 9 | 50 | 232 | 38 | 23 | 6 | 90% | 5.0 | 16.4% | 9.9% | 6.5% | 2.6% | 5.76 | 4.52 | +0.5 |
| 2007 | 23 | MLB MLE | Minnesota Twins | 16 | 15 | 83 | 367 | 67 | 28 | 8 | 94% | 5.2 | 18.3% | 7.6% | 10.6% | 2.2% | 3.69 | 3.72 | +1.7 |
| 2007 | 23 | MLB RAW | Minnesota Twins | 16 | 15 | 83 | 367 | 67 | 28 | 8 | 94% | 5.2 | 18.3% | 7.6% | 10.6% | 2.2% | 3.69 | 3.75 | +1.6 |
| 2008 | 24 | MLB MLE | Tampa Bay Rays | 30 | 30 | 185 | 772 | 128 | 57 | 19 | 100% | 6.2 | 16.6% | 7.4% | 9.2% | 2.5% | 3.70 | 3.99 | +3.1 |
| 2008 | 24 | MLB RAW | Tampa Bay Rays | 30 | 30 | 185 | 772 | 128 | 57 | 19 | 100% | 6.2 | 16.6% | 7.4% | 9.2% | 2.5% | 3.70 | 3.98 | +3.1 |
| 2009 | 25 | MLB MLE | Tampa Bay Rays | 32 | 32 | 203 | 861 | 189 | 79 | 25 | 100% | 6.3 | 22.0% | 9.2% | 12.8% | 2.9% | 3.95 | 4.00 | +3.4 |
| 2009 | 25 | MLB RAW | Tampa Bay Rays | 32 | 32 | 203 | 861 | 189 | 79 | 25 | 100% | 6.3 | 22.0% | 9.2% | 12.8% | 2.9% | 3.95 | 4.01 | +3.4 |
| 2010 | 26 | MLB MLE | Tampa Bay Rays | 33 | 32 | 205 | 855 | 150 | 61 | 28 | 97% | 6.2 | 17.5% | 7.1% | 10.4% | 3.4% | 3.91 | 4.37 | +2.5 |
| 2010 | 26 | MLB RAW | Tampa Bay Rays | 33 | 32 | 205 | 855 | 150 | 61 | 28 | 97% | 6.2 | 17.5% | 7.1% | 10.4% | 3.3% | 3.91 | 4.31 | +2.6 |
| 2011 | 27 | MLB MLE | Chicago Cubs | 31 | 31 | 198 | 839 | 197 | 58 | 14 | 100% | 6.4 | 23.5% | 6.9% | 16.6% | 1.7% | 3.32 | 2.94 | +6.2 |
| 2011 | 27 | MLB RAW | Chicago Cubs | 31 | 31 | 198 | 839 | 197 | 58 | 14 | 100% | 6.4 | 23.5% | 6.9% | 16.6% | 1.7% | 3.32 | 2.91 | +6.3 |
| 2012 | 28 | MLB MLE | Chicago Cubs | 18 | 18 | 104 | 424 | 96 | 32 | 15 | 100% | 5.8 | 22.6% | 7.5% | 15.1% | 3.7% | 3.91 | 4.16 | +1.5 |
| 2012 | 28 | MLB RAW | Chicago Cubs | 18 | 18 | 104 | 424 | 96 | 32 | 15 | 100% | 5.8 | 22.6% | 7.5% | 15.1% | 3.5% | 3.91 | 4.05 | +1.7 |
| 2013 | 29 | MLB MLE | Texas Rangers | 24 | 24 | 155 | 652 | 136 | 39 | 20 | 100% | 6.5 | 20.9% | 6.0% | 14.9% | 2.9% | 3.82 | 3.72 | +3.2 |
| 2013 | 29 | MLB RAW | Texas Rangers | 24 | 24 | 155 | 652 | 136 | 39 | 20 | 100% | 6.5 | 20.9% | 6.0% | 14.9% | 3.1% | 3.82 | 3.78 | +3.0 |
| 2014 | 30 | MLB MLE | Milwaukee Brewers | 27 | 27 | 163 | 680 | 126 | 48 | 12 | 100% | 6.0 | 18.5% | 7.1% | 11.5% | 1.7% | 3.64 | 3.35 | +4.1 |
| 2014 | 30 | MLB RAW | Milwaukee Brewers | 27 | 27 | 163 | 680 | 126 | 48 | 12 | 100% | 6.0 | 18.5% | 7.1% | 11.5% | 1.8% | 3.64 | 3.39 | +4.0 |
| 2015 | 31 | MLB MLE | Milwaukee Brewers | 26 | 25 | 149 | 666 | 104 | 54 | 23 | 96% | 5.7 | 15.6% | 8.1% | 7.5% | 3.3% | 5.63 | 4.61 | +1.4 |
| 2015 | 31 | MLB RAW | Milwaukee Brewers | 26 | 25 | 149 | 666 | 104 | 54 | 23 | 96% | 5.7 | 15.6% | 8.1% | 7.5% | 3.5% | 5.63 | 4.80 | +1.0 |
| 2016 | 32 | MIX MLE | 2 levels | 22 | 22 | 113 | 507 | 80 | 35 | 12 | 100% | 5.1 | 15.2% | 7.4% | 7.8% | 2.3% | 4.54 | 4.00 | +1.9 |
| 2016 | 32 | MIX RAW | 2 levels | 22 | 22 | 113 | 507 | 80 | 35 | 12 | 100% | 5.1 | 15.8% | 6.9% | 8.9% | 2.4% | 4.54 | 3.99 | +1.9 |
| 2017 | 33 | MIX MLE | 3 levels | 26 | 24 | 125 | 550 | 91 | 45 | 19 | 92% | 4.8 | 15.7% | 8.1% | 7.5% | 3.2% | 4.88 | 4.57 | +1.2 |
| 2017 | 33 | MIX RAW | 3 levels | 26 | 24 | 125 | 550 | 91 | 45 | 19 | 92% | 4.8 | 16.5% | 8.2% | 8.4% | 3.5% | 4.88 | 4.70 | +1.0 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 290 | 284 | 1711 | 7313 | 1380 | 554 | 198 | 98% | 5.9 | 18.9% | 7.6% | 11.3% | 2.7% | 4.09 | 3.96 | +29.4 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 290 | 284 | 1711 | 7313 | 1380 | 554 | 198 | 98% | 5.9 | 18.9% | 7.6% | 11.3% | 2.7% | 4.09 | 3.95 | +29.6 | |
| / 200 IP | — | RAW | 34 | 33 | 200 | 855 | 161 | 65 | 23 | 98% | 5.9 | 18.9% | 7.6% | 11.3% | 2.7% | 4.09 | 3.95 | +3.5 | |
| Career | — | MLE | 295 | 289 | 1733 | 7405 | 1394 | 561 | 199 | 98% | 5.9 | 18.8% | 7.6% | 11.2% | 2.7% | 4.09 | 3.94 | +29.4 | |
| / 200 IP | — | MLE | 34 | 33 | 200 | 855 | 161 | 65 | 23 | 98% | 5.9 | 18.8% | 7.6% | 11.2% | 2.7% | 4.09 | 3.94 | +3.4 | |
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.
2017 AWisconsin Timber Rattlers · 6 IPFIP 3.55 → 4.57 (+1.02)K% 28.6% → 21.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 28.57% | — | ×0.740 | 21.14% |
| BB% (unintentional) /BF | 7.14% | — | ×1.180 | 8.43% |
| HR / BF /BF | 3.57% | ÷1.164 | ×1.300 | 3.99% |
Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 133).
Result: FIP 3.55 → 4.57, 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 AWisconsin Timber Rattlers · 11 IPFIP 2.73 → 3.40 (+0.67)K% 21.7% → 16.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 21.74% | — | ×0.740 | 16.09% |
| BB% (unintentional) /BF | 2.17% | — | ×1.180 | 2.57% |
| HR / BF /BF | 2.17% | ÷1.161 | ×1.300 | 2.43% |
Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 132).
Result: FIP 2.73 → 3.40, 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).