Josh Collmenter
P Atlanta Braves| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | 29 | MLBARI | 44 | 12 | 121 | 3.79 | 4.54 | 12.6% | 4.4% | 0.0 | ||
| 2016 | 30 | MIX3 levels | 28 | 12 | 72 | 3.86 | 4.51 | 17.2% | 9.9% | 0.0 | K 16.8% · BB 10.0% · FIP 4.71 | |
| 2017 | 31 | MIX3 levels | 18 | 4 | 43 | 5.44 | 4.73 | 23.2% | 5.2% | -0.1 | K 21.3% · BB 5.4% · FIP 5.32 | |
| 2018 | 32 | No MLB games played | ||||||||||
| 2019 | 33 | No MLB games played | ||||||||||
| 2020 | 34 | No MLB games played | ||||||||||
| 2021 | 35 | No MLB games played | ||||||||||
| 2022 | 36 | No MLB games played | ||||||||||
| 2023 | 37 | No MLB games played | ||||||||||
| 2024 | 38 | No MLB games played | ||||||||||
| 2025 | 39 | No MLB games played | ||||||||||
| 2026 | 40 | 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) | |||||||||||||||||||
| 2011 | 25 | MLB MLE | Arizona Diamondbacks | 31 | 24 | 154 | 621 | 100 | 26 | 17 | 77% | 5.0 | 16.1% | 4.2% | 11.9% | 2.7% | 3.38 | 3.76 | +3.0 |
| 2011 | 25 | MLB RAW | Arizona Diamondbacks | 31 | 24 | 154 | 621 | 100 | 26 | 17 | 77% | 5.0 | 16.1% | 4.2% | 11.9% | 2.7% | 3.38 | 3.74 | +3.1 |
| 2012 | 26 | MLB MLE | Arizona Diamondbacks | 28 | 11 | 90 | 375 | 80 | 20 | 13 | 39% | 3.2 | 21.3% | 5.3% | 16.0% | 3.4% | 3.69 | 3.86 | +0.7 |
| 2012 | 26 | MLB RAW | Arizona Diamondbacks | 28 | 11 | 90 | 375 | 80 | 20 | 13 | 39% | 3.2 | 21.3% | 5.3% | 16.0% | 3.5% | 3.69 | 3.86 | +0.7 |
| 2013 | 27 | MLB MLE | Arizona Diamondbacks | 49 | 0 | 92 | 384 | 85 | 25 | 8 | 0% | 1.9 | 22.1% | 6.5% | 15.6% | 2.1% | 3.13 | 3.19 | +1.5 |
| 2013 | 27 | MLB RAW | Arizona Diamondbacks | 49 | 0 | 92 | 384 | 85 | 25 | 8 | 0% | 1.9 | 22.1% | 6.5% | 15.6% | 2.1% | 3.13 | 3.20 | +1.5 |
| 2014 | 28 | MLB MLE | Arizona Diamondbacks | 33 | 28 | 179 | 719 | 115 | 37 | 18 | 85% | 5.4 | 16.0% | 5.1% | 10.8% | 2.5% | 3.46 | 3.76 | +3.5 |
| 2014 | 28 | MLB RAW | Arizona Diamondbacks | 33 | 28 | 179 | 719 | 115 | 37 | 18 | 85% | 5.4 | 16.0% | 5.1% | 10.8% | 2.5% | 3.46 | 3.74 | +3.6 |
| 2015 | 29 | MLB MLE | Arizona Diamondbacks | 44 | 12 | 121 | 499 | 63 | 22 | 18 | 27% | 2.8 | 12.6% | 4.4% | 8.2% | 3.6% | 3.79 | 4.55 | -0.0 |
| 2015 | 29 | MLB RAW | Arizona Diamondbacks | 44 | 12 | 121 | 499 | 63 | 22 | 18 | 27% | 2.8 | 12.6% | 4.4% | 8.2% | 3.6% | 3.79 | 4.54 | +0.0 |
| 2016 | 30 | MIX MLE | 3 levels | 28 | 12 | 72 | 314 | 54 | 31 | 9 | 43% | 2.6 | 16.8% | 10.0% | 6.8% | 3.2% | 3.86 | 4.71 | -0.1 |
| 2016 | 30 | MIX RAW | 3 levels | 28 | 12 | 72 | 314 | 54 | 31 | 9 | 43% | 2.6 | 17.2% | 9.9% | 7.3% | 2.9% | 3.86 | 4.51 | +0.0 |
| 2017 | 31 | MIX MLE | 3 levels | 18 | 4 | 43 | 194 | 45 | 10 | 10 | 22% | 2.4 | 21.3% | 5.4% | 15.9% | 6.1% | 5.44 | 5.32 | -0.4 |
| 2017 | 31 | MIX RAW | 3 levels | 18 | 4 | 43 | 194 | 45 | 10 | 10 | 22% | 2.4 | 23.2% | 5.2% | 18.0% | 5.2% | 5.44 | 4.73 | -0.1 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 214 | 78 | 695 | 2858 | 494 | 149 | 88 | 36% | 3.2 | 17.3% | 5.2% | 12.1% | 3.1% | 3.64 | 3.97 | +4.8 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 214 | 78 | 695 | 2858 | 494 | 149 | 88 | 36% | 3.2 | 17.3% | 5.2% | 12.1% | 3.1% | 3.64 | 3.99 | +4.6 | |
| / 200 IP | — | RAW | 62 | 22 | 200 | 822 | 142 | 43 | 25 | 36% | 3.2 | 17.3% | 5.2% | 12.1% | 3.1% | 3.64 | 3.99 | +1.3 | |
| Career | — | MLE | 231 | 91 | 752 | 3106 | 537 | 172 | 95 | 39% | 3.3 | 17.3% | 5.5% | 11.8% | 3.1% | 3.64 | 4.02 | +4.8 | |
| / 200 IP | — | MLE | 61 | 24 | 200 | 826 | 143 | 46 | 25 | 39% | 3.3 | 17.3% | 5.5% | 11.8% | 3.1% | 3.64 | 4.02 | +1.4 | |
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 AAAGwinnett Braves · 20 IPFIP 3.70 → 4.25 (+0.55)K% 25.0% → 22.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.00% | — | ×0.880 | 22.00% |
| BB% (unintentional) /BF | 5.95% | — | ×1.050 | 6.25% |
| HR / BF /BF | 3.57% | ÷0.972 | ×1.100 | 4.04% |
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 94).
Result: FIP 3.70 → 4.25, 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 ROKGCL Braves · 6 IPFIP 1.45 → 2.29 (+0.84)K% 26.1% → 17.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 26.09% | — | ×0.680 | 17.74% |
| BB% (unintentional) /BF | 4.35% | — | ×1.250 | 5.43% |
| HR / BF /BF | 0.00% | ÷1.000 | ×1.400 | 0.00% |
Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).
Result: FIP 1.45 → 2.29, 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 AAAIowa Cubs · 23 IPFIP 3.89 → 4.24 (+0.35)K% 14.7% → 12.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 14.71% | — | ×0.880 | 12.94% |
| BB% (unintentional) /BF | 11.76% | — | ×1.050 | 12.35% |
| HR / BF /BF | 0.98% | ÷0.890 | ×1.100 | 1.21% |
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 78).
Result: FIP 3.89 → 4.24, 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).
2016 A+Visalia Rawhide · 8 IPFIP 4.51 → 5.15 (+0.64)K% 15.4% → 11.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 15.38% | — | ×0.770 | 11.85% |
| BB% (unintentional) /BF | 10.26% | — | ×1.150 | 11.79% |
| HR / BF /BF | 2.56% | ÷1.134 | ×1.250 | 2.83% |
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 127).
Result: FIP 4.51 → 5.15, 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).