Brandon McCarthy
P Atlanta Braves| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016 | 33 | MIX3 levels | 15 | 14 | 58 | 5.31 | 4.33 | 23.7% | 11.5% | 0.7 | K 22.5% · BB 11.5% · FIP 4.84 | |
| 2017 | 34 | MIX2 levels | 21 | 18 | 99 | 4.17 | 3.18 | 18.1% | 7.5% | 2.7 | K 18.8% · BB 7.0% · FIP 3.09 | |
| 2018 | 35 | MIX2 levels | 18 | 15 | 83 | 4.90 | 4.76 | 18.8% | 5.9% | 0.6 | K 19.2% · BB 6.2% · FIP 4.69 | |
| 2019 | 36 | No MLB games played | ||||||||||
| 2020 | 37 | No MLB games played | ||||||||||
| 2021 | 38 | No MLB games played | ||||||||||
| 2022 | 39 | No MLB games played | ||||||||||
| 2023 | 40 | No MLB games played | ||||||||||
| 2024 | 41 | No MLB games played | ||||||||||
| 2025 | 42 | No MLB games played | ||||||||||
| 2026 | 43 | 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) | |||||||||||||||||||
| 2005 | 22 | MLB MLE | Chicago White Sox | 12 | 10 | 67 | 277 | 48 | 17 | 13 | 83% | 5.6 | 17.3% | 6.1% | 11.2% | 4.7% | 4.03 | 4.99 | +0.3 |
| 2005 | 22 | MLB RAW | Chicago White Sox | 12 | 10 | 67 | 277 | 48 | 17 | 13 | 83% | 5.6 | 17.3% | 6.1% | 11.2% | 4.7% | 4.03 | 4.95 | +0.3 |
| 2006 | 23 | MLB MLE | Chicago White Sox | 53 | 2 | 85 | 354 | 69 | 24 | 17 | 4% | 1.6 | 19.5% | 6.8% | 12.7% | 4.8% | 4.68 | 4.95 | -0.4 |
| 2006 | 23 | MLB RAW | Chicago White Sox | 53 | 2 | 85 | 354 | 69 | 24 | 17 | 4% | 1.6 | 19.5% | 6.8% | 12.7% | 4.8% | 4.68 | 4.93 | -0.4 |
| 2007 | 24 | MLB MLE | Texas Rangers | 23 | 22 | 102 | 459 | 59 | 48 | 9 | 96% | 4.4 | 12.9% | 10.5% | 2.4% | 2.0% | 4.87 | 4.42 | +1.2 |
| 2007 | 24 | MLB RAW | Texas Rangers | 23 | 22 | 102 | 459 | 59 | 48 | 9 | 96% | 4.4 | 12.9% | 10.5% | 2.4% | 2.0% | 4.87 | 4.51 | +1.1 |
| 2008 | 25 | MLB MLE | Texas Rangers | 5 | 5 | 22 | 93 | 10 | 8 | 3 | 100% | 4.4 | 10.8% | 8.6% | 2.2% | 3.2% | 4.09 | 5.05 | +0.1 |
| 2008 | 25 | MLB RAW | Texas Rangers | 5 | 5 | 22 | 93 | 10 | 8 | 3 | 100% | 4.4 | 10.8% | 8.6% | 2.2% | 3.2% | 4.09 | 5.05 | +0.1 |
| 2009 | 26 | MLB MLE | Texas Rangers | 17 | 17 | 97 | 420 | 65 | 36 | 13 | 100% | 5.7 | 15.5% | 8.6% | 6.9% | 3.1% | 4.62 | 4.58 | +0.9 |
| 2009 | 26 | MLB RAW | Texas Rangers | 17 | 17 | 97 | 420 | 65 | 36 | 13 | 100% | 5.7 | 15.5% | 8.6% | 6.9% | 3.1% | 4.62 | 4.61 | +0.9 |
| 2011 | 28 | MLB MLE | Oakland Athletics | 25 | 25 | 171 | 690 | 123 | 24 | 11 | 100% | 6.8 | 17.8% | 3.5% | 14.3% | 1.8% | 3.32 | 3.00 | +5.2 |
| 2011 | 28 | MLB RAW | Oakland Athletics | 25 | 25 | 171 | 690 | 123 | 24 | 11 | 100% | 6.8 | 17.8% | 3.5% | 14.3% | 1.6% | 3.32 | 2.92 | +5.4 |
| 2012 | 29 | MLB MLE | Oakland Athletics | 18 | 18 | 111 | 469 | 73 | 22 | 10 | 100% | 6.2 | 15.6% | 4.7% | 10.9% | 2.3% | 3.24 | 3.67 | +2.3 |
| 2012 | 29 | MLB RAW | Oakland Athletics | 18 | 18 | 111 | 469 | 73 | 22 | 10 | 100% | 6.2 | 15.6% | 4.7% | 10.9% | 2.1% | 3.24 | 3.55 | +2.5 |
| 2013 | 30 | MLB MLE | Arizona Diamondbacks | 22 | 22 | 135 | 577 | 76 | 18 | 13 | 100% | 6.1 | 13.2% | 3.1% | 10.1% | 2.2% | 4.53 | 3.61 | +2.9 |
| 2013 | 30 | MLB RAW | Arizona Diamondbacks | 22 | 22 | 135 | 577 | 76 | 18 | 13 | 100% | 6.1 | 13.2% | 3.1% | 10.1% | 2.3% | 4.53 | 3.63 | +2.9 |
| 2014 | 31 | MLB MLE | New York Yankees | 32 | 32 | 200 | 836 | 175 | 29 | 25 | 100% | 6.2 | 20.9% | 3.5% | 17.5% | 2.8% | 4.05 | 3.31 | +5.2 |
| 2014 | 31 | MLB RAW | New York Yankees | 32 | 32 | 200 | 836 | 175 | 29 | 25 | 100% | 6.2 | 20.9% | 3.5% | 17.5% | 3.0% | 4.05 | 3.41 | +4.9 |
| 2015 | 32 | MLB MLE | Los Angeles Dodgers | 4 | 4 | 23 | 94 | 29 | 4 | 9 | 100% | 5.8 | 30.9% | 4.3% | 26.6% | 9.2% | 5.87 | 6.07 | -0.2 |
| 2015 | 32 | MLB RAW | Los Angeles Dodgers | 4 | 4 | 23 | 94 | 29 | 4 | 9 | 100% | 5.8 | 30.9% | 4.3% | 26.6% | 9.6% | 5.87 | 6.19 | -0.2 |
| 2016 | 33 | MIX MLE | 3 levels | 15 | 14 | 58 | 253 | 60 | 29 | 8 | 93% | 3.8 | 22.5% | 11.5% | 10.9% | 4.0% | 5.31 | 4.84 | +0.4 |
| 2016 | 33 | MIX RAW | 3 levels | 15 | 14 | 58 | 253 | 60 | 29 | 8 | 93% | 3.8 | 23.7% | 11.5% | 12.3% | 3.2% | 5.31 | 4.33 | +0.7 |
| 2017 | 34 | MIX MLE | 2 levels | 21 | 18 | 99 | 415 | 75 | 31 | 5 | 86% | 4.7 | 18.8% | 7.0% | 11.7% | 1.2% | 4.17 | 3.09 | +2.8 |
| 2017 | 34 | MIX RAW | 2 levels | 21 | 18 | 99 | 415 | 75 | 31 | 5 | 86% | 4.7 | 18.1% | 7.5% | 10.6% | 1.2% | 4.17 | 3.18 | +2.7 |
| 2018 | 35 | MIX MLE | 2 levels | 18 | 15 | 83 | 357 | 67 | 21 | 16 | 83% | 4.6 | 19.2% | 6.2% | 13.0% | 4.4% | 4.90 | 4.69 | +0.7 |
| 2018 | 35 | MIX RAW | 2 levels | 18 | 15 | 83 | 357 | 67 | 21 | 16 | 83% | 4.6 | 18.8% | 5.9% | 12.9% | 4.5% | 4.90 | 4.76 | +0.6 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 255 | 197 | 1224 | 5163 | 908 | 303 | 145 | 77% | 4.8 | 17.6% | 5.9% | 11.7% | 2.8% | 4.20 | 3.90 | +21.9 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 255 | 197 | 1224 | 5163 | 908 | 303 | 145 | 77% | 4.8 | 17.6% | 5.9% | 11.7% | 2.8% | 4.20 | 3.90 | +21.9 | |
| / 200 IP | — | RAW | 42 | 32 | 200 | 844 | 148 | 50 | 24 | 77% | 4.8 | 17.6% | 5.9% | 11.7% | 2.8% | 4.20 | 3.90 | +3.6 | |
| Career | — | MLE | 265 | 204 | 1252 | 5294 | 930 | 310 | 154 | 77% | 4.7 | 17.6% | 5.9% | 11.7% | 2.9% | 4.24 | 3.96 | +21.9 | |
| / 200 IP | — | MLE | 42 | 33 | 200 | 846 | 149 | 50 | 25 | 77% | 4.7 | 17.6% | 5.9% | 11.7% | 2.9% | 4.24 | 3.96 | +3.6 | |
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 A+Rancho Cucamonga Quakes · 7 IPFIP 3.92 → 4.35 (+0.43)K% 9.7% → 7.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 9.68% | — | ×0.770 | 7.45% |
| BB% (unintentional) /BF | 12.90% | — | ×1.150 | 14.84% |
| HR / BF /BF | 0.00% | ÷1.085 | ×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 117).
Result: FIP 3.92 → 4.35, 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 A+Rancho Cucamonga Quakes · 14 IPFIP 6.94 → 8.58 (+1.64)K% 18.2% → 14.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.18% | — | ×0.770 | 14.00% |
| BB% (unintentional) /BF | 3.03% | — | ×1.150 | 3.48% |
| HR / BF /BF | 9.09% | ÷1.003 | ×1.250 | 11.33% |
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 101).
Result: FIP 6.94 → 8.58, 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).