Bud Norris
P St. Louis Cardinals| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016 | 31 | MIX2 levels | 36 | 20 | 119 | 4.93 | 4.01 | 20.5% | 8.9% | 2.0 | K 20.6% · BB 9.1% · FIP 4.00 | |
| 2017 | 32 | MIX2 levels | 61 | 4 | 63 | 4.14 | 3.45 | 28.4% | 8.9% | 0.8 | K 27.7% · BB 9.0% · FIP 3.51 | |
| 2018 | 33 | MLBSTL | 64 | 0 | 58 | 3.59 | 3.52 | 27.3% | 7.3% | 0.7 | ||
| 2019 | 34 | No MLB games played | ||||||||||
| 2020 | 35 | No MLB games played | ||||||||||
| 2021 | 36 | No MLB games played | ||||||||||
| 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) | |||||||||||||||||||
| 2009 | 24 | MLB MLE | Houston Astros | 11 | 10 | 56 | 249 | 54 | 24 | 9 | 91% | 5.1 | 21.7% | 9.6% | 12.0% | 3.6% | 4.53 | 4.47 | +0.6 |
| 2009 | 24 | MLB RAW | Houston Astros | 11 | 10 | 56 | 249 | 54 | 24 | 9 | 91% | 5.1 | 21.7% | 9.6% | 12.0% | 3.6% | 4.53 | 4.56 | +0.5 |
| 2010 | 25 | MLB MLE | Houston Astros | 27 | 27 | 154 | 683 | 158 | 74 | 18 | 100% | 5.7 | 23.1% | 10.8% | 12.3% | 2.7% | 4.92 | 4.01 | +2.6 |
| 2010 | 25 | MLB RAW | Houston Astros | 27 | 27 | 154 | 683 | 158 | 74 | 18 | 100% | 5.7 | 23.1% | 10.8% | 12.3% | 2.6% | 4.92 | 4.01 | +2.5 |
| 2011 | 26 | MLB MLE | Houston Astros | 31 | 31 | 186 | 795 | 176 | 63 | 24 | 100% | 6.0 | 22.1% | 7.9% | 14.2% | 3.1% | 3.77 | 3.94 | +3.3 |
| 2011 | 26 | MLB RAW | Houston Astros | 31 | 31 | 186 | 795 | 176 | 63 | 24 | 100% | 6.0 | 22.1% | 7.9% | 14.2% | 3.0% | 3.77 | 3.90 | +3.3 |
| 2012 | 27 | MLB MLE | Houston Astros | 29 | 29 | 168 | 733 | 165 | 64 | 23 | 100% | 5.8 | 22.5% | 8.7% | 13.8% | 3.2% | 4.65 | 4.08 | +2.6 |
| 2012 | 27 | MLB RAW | Houston Astros | 29 | 29 | 168 | 733 | 165 | 64 | 23 | 100% | 5.8 | 22.5% | 8.7% | 13.8% | 3.1% | 4.65 | 4.06 | +2.7 |
| 2013 | 28 | MLB MLE | Baltimore Orioles | 32 | 30 | 177 | 773 | 147 | 67 | 17 | 94% | 5.5 | 19.0% | 8.7% | 10.3% | 2.0% | 4.18 | 3.68 | +3.7 |
| 2013 | 28 | MLB RAW | Baltimore Orioles | 32 | 30 | 177 | 773 | 147 | 67 | 17 | 94% | 5.5 | 19.0% | 8.7% | 10.3% | 2.2% | 4.18 | 3.82 | +3.3 |
| 2014 | 29 | MLB MLE | Baltimore Orioles | 28 | 28 | 165 | 687 | 139 | 50 | 20 | 100% | 5.9 | 20.2% | 7.3% | 13.0% | 2.6% | 3.65 | 3.76 | +3.3 |
| 2014 | 29 | MLB RAW | Baltimore Orioles | 28 | 28 | 165 | 687 | 139 | 50 | 20 | 100% | 5.9 | 20.2% | 7.3% | 13.0% | 2.9% | 3.65 | 3.90 | +3.0 |
| 2015 | 30 | MIX MLE | 3 levels | 41 | 14 | 95 | 431 | 81 | 32 | 17 | 34% | 2.3 | 18.8% | 8.2% | 10.6% | 3.9% | 7.13 | 4.68 | -0.1 |
| 2015 | 30 | MIX RAW | 3 levels | 41 | 14 | 95 | 431 | 81 | 32 | 17 | 34% | 2.3 | 18.8% | 7.4% | 11.4% | 3.9% | 7.13 | 4.74 | -0.2 |
| 2016 | 31 | MIX MLE | 2 levels | 36 | 20 | 119 | 517 | 106 | 46 | 14 | 56% | 3.3 | 20.6% | 9.1% | 11.5% | 2.7% | 4.93 | 4.00 | +2.0 |
| 2016 | 31 | MIX RAW | 2 levels | 36 | 20 | 119 | 517 | 106 | 46 | 14 | 56% | 3.3 | 20.5% | 8.9% | 11.6% | 2.7% | 4.93 | 4.01 | +2.0 |
| 2017 | 32 | MIX MLE | 2 levels | 61 | 4 | 63 | 271 | 77 | 24 | 8 | 7% | 1.0 | 27.7% | 9.0% | 18.7% | 2.9% | 4.14 | 3.51 | +0.8 |
| 2017 | 32 | MIX RAW | 2 levels | 61 | 4 | 63 | 271 | 77 | 24 | 8 | 7% | 1.0 | 28.4% | 8.9% | 19.6% | 3.0% | 4.14 | 3.45 | +0.8 |
| 2018 | 33 | MLB MLE | St. Louis Cardinals | 64 | 0 | 58 | 245 | 67 | 18 | 8 | 0% | 0.9 | 27.3% | 7.3% | 20.0% | 3.5% | 3.59 | 3.65 | +0.6 |
| 2018 | 33 | MLB RAW | St. Louis Cardinals | 64 | 0 | 58 | 245 | 67 | 18 | 8 | 0% | 0.9 | 27.3% | 7.3% | 20.0% | 3.3% | 3.59 | 3.52 | +0.7 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 355 | 188 | 1221 | 5304 | 1153 | 460 | 156 | 53% | 3.4 | 21.7% | 8.7% | 13.1% | 2.9% | 4.45 | 4.00 | +20.3 | ||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 355 | 188 | 1221 | 5304 | 1153 | 460 | 156 | 53% | 3.4 | 21.7% | 8.7% | 13.1% | 2.9% | 4.45 | 3.98 | +20.7 | |
| / 200 IP | — | RAW | 58 | 31 | 200 | 869 | 189 | 75 | 26 | 53% | 3.4 | 21.7% | 8.7% | 13.1% | 2.9% | 4.45 | 3.98 | +3.4 | |
| Career | — | MLE | 360 | 193 | 1240 | 5384 | 1169 | 467 | 157 | 54% | 3.4 | 21.7% | 8.7% | 13.0% | 2.9% | 4.49 | 3.96 | +20.3 | |
| / 200 IP | — | MLE | 58 | 31 | 200 | 869 | 189 | 75 | 25 | 54% | 3.4 | 21.7% | 8.7% | 13.0% | 2.9% | 4.49 | 3.96 | +3.3 | |
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.
2016 A+Rancho Cucamonga Quakes · 6 IPFIP 2.14 → 2.58 (+0.44)K% 18.2% → 14.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 18.18% | — | ×0.770 | 14.00% |
| BB% (unintentional) /BF | 4.55% | — | ×1.150 | 5.23% |
| HR / BF /BF | 0.00% | ÷1.003 | ×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 101).
Result: FIP 2.14 → 2.58, 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).
2015 AAANorfolk Tides · 7 IPFIP 6.04 → 6.16 (+0.12)K% 9.1% → 8.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 9.09% | — | ×0.880 | 8.00% |
| BB% (unintentional) /BF | 3.03% | — | ×1.050 | 3.18% |
| HR / BF /BF | 6.06% | ÷1.097 | ×1.100 | 6.08% |
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 119).
Result: FIP 6.04 → 6.16, 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 AABowie Baysox · 5 IPFIP 0.29 → 0.82 (+0.53)K% 33.3% → 27.0%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 33.33% | — | ×0.810 | 27.00% |
| BB% (unintentional) /BF | 0.00% | — | ×1.100 | 0.00% |
| HR / BF /BF | 0.00% | ÷1.197 | ×1.200 | 0.00% |
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 139).
Result: FIP 0.29 → 0.82, 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).