Bubba Chandler
P Pittsburgh Pirates| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 21 | MIX2 levels | 26 | 23 | 120 | 3.08 | 2.63 | 30.9% | 8.6% | — | K 25.6% · BB 8.8% · FIP 3.47 |
| 2025 | 22 | MIX2 levels | 31 | 28 | 131 | 4.04 | 3.08 | 26.9% | 10.1% | 3.8 | K 23.9% · BB 9.1% · FIP 3.38 |
| 2026 | 23 | MLBPIT | 31 | 30 | 154 | 4.50 | 4.09 | 20.8% | 11.7% | 2.4 | |
| 2027PROJ | 24 | MLBPIT | 21 | 21 | 119 | 4.22 | 4.16 | 24.5% | 10.7% | 1.7 | |
| 2028PROJ95% MLB | 25 | MLBPIT | 19 | 19 | 113 | 4.00 | 3.92 | 25.2% | 10.1% | 1.9 | |
| 2029PROJ95% MLB | 26 | MLBPIT | 19 | 19 | 113 | 3.93 | 3.88 | 25.5% | 10.0% | 1.9 |
Statcast · Contract
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) | |||||||||||||||||||
| ▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far) | |||||||||||||||||||
| 2022 | 19 | MIX MLE | 2 levels | 14 | 11 | 41 | 173 | 60 | 28 | 3 | 79% | 3.0 | 24.7% | 19.5% | 5.2% | 2.0% | 2.61 | 4.60 | — |
| 2022 | 19 | MIX RAW | 2 levels | 14 | 11 | 41 | 173 | 60 | 28 | 3 | 79% | 3.0 | 34.7% | 16.2% | 18.5% | 1.7% | 2.61 | 3.17 | — |
| 2023 | 20 | MIX MLE | 2 levels | 25 | 25 | 111 | 484 | 128 | 51 | 15 | 100% | 4.4 | 19.7% | 12.5% | 7.2% | 3.3% | 4.54 | 4.85 | — |
| 2023 | 20 | MIX RAW | 2 levels | 25 | 25 | 111 | 484 | 128 | 51 | 15 | 100% | 4.4 | 26.4% | 10.5% | 15.9% | 3.1% | 4.54 | 3.93 | — |
| 2024 | 21 | MIX MLE | 2 levels | 26 | 23 | 120 | 479 | 148 | 41 | 9 | 88% | 4.6 | 25.6% | 8.8% | 16.8% | 2.6% | 3.08 | 3.47 | — |
| 2024 | 21 | MIX MLE | 2 levels | 26 | 23 | 120 | 479 | 148 | 41 | 9 | 88% | 4.6 | 25.6% | 8.8% | 16.8% | 2.6% | 3.08 | 3.47 | — |
| 2024 | 21 | MIX RAW | 2 levels | 26 | 23 | 120 | 479 | 148 | 41 | 9 | 88% | 4.6 | 30.9% | 8.6% | 22.3% | 1.9% | 3.08 | 2.63 | — |
| 2025 | 22 | MIX MLE | 2 levels | 31 | 28 | 131 | 566 | 152 | 57 | 10 | 90% | 4.2 | 23.9% | 9.1% | 14.7% | 2.1% | 4.04 | 3.38 | +3.2 |
| 2025 | 22 | MIX MLE | 2 levels | 31 | 28 | 131 | 566 | 152 | 57 | 10 | 90% | 4.2 | 23.9% | 9.1% | 14.7% | 2.1% | 4.04 | 3.38 | +3.2 |
| 2025 | 22 | MIX RAW | 2 levels | 31 | 28 | 131 | 566 | 152 | 57 | 10 | 90% | 4.2 | 26.9% | 10.1% | 16.8% | 1.8% | 4.04 | 3.08 | +3.8 |
| 2026 | 23 | MLB MLE | Pittsburgh Pirates | 31 | 30 | 154 | 674 | 140 | 79 | 15 | 97% | 5.0 | 20.8% | 11.7% | 9.1% | 2.4% | 4.50 | 4.15 | +2.3 |
| 2026 | 23 | MLB MLE | Pittsburgh Pirates | 31 | 30 | 154 | 674 | 140 | 79 | 15 | 97% | 5.0 | 20.8% | 11.7% | 9.1% | 2.4% | 4.50 | 4.15 | +2.3 |
| 2026 | 23 | MLB RAW | Pittsburgh Pirates | 31 | 30 | 154 | 674 | 140 | 79 | 15 | 97% | 5.0 | 20.8% | 11.7% | 9.1% | 2.2% | 4.50 | 4.09 | +2.4 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 38 | 34 | 185 | 798 | 171 | 83 | 17 | 89% | 4.9 | 21.4% | 10.4% | 11.0% | 2.1% | 4.42 | 3.79 | +3.6 | ||
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 24 | MLB | PIT | 21 | 21 | 119 | 502 | 123 | 54 | 13 | 100% | 5.7 | 24.5% | 10.7% | 13.8% | 2.5% | 4.22 | 4.16 | +1.7 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 25 | MLB MLE | PIT | 20 | 20 | 119 | 501 | 126 | 51 | 13 | 100% | 5.9 | 25.2% | 10.1% | 15.1% | 2.5% | 4.10 | 4.02 | +1.9 |
| 2029 | 26 | MLB MLE | PIT | 20 | 20 | 119 | 501 | 128 | 50 | 13 | 100% | 5.9 | 25.5% | 10.0% | 15.5% | 2.5% | 4.03 | 3.98 | +2.0 |
| 2030 | 27 | MLB MLE | PIT | 15 | 15 | 90 | 381 | 97 | 39 | 10 | 100% | 6.0 | 25.5% | 10.1% | 15.4% | 2.6% | 4.03 | 4.02 | +1.5 |
| 2031 | 28 | MLB MLE | PIT | 14 | 14 | 85 | 360 | 91 | 37 | 10 | 100% | 6.1 | 25.4% | 10.3% | 15.1% | 2.7% | 4.08 | 4.11 | +1.3 |
| 2032 | 29 | MLB MLE | PIT | 12 | 12 | 74 | 313 | 78 | 33 | 9 | 100% | 6.2 | 24.8% | 10.5% | 14.3% | 2.8% | 4.19 | 4.27 | +1.0 |
| 2033 | 30 | MLB MLE | PIT | 10 | 10 | 61 | 256 | 62 | 28 | 8 | 100% | 6.1 | 24.1% | 10.8% | 13.3% | 3.0% | 4.36 | 4.48 | +0.7 |
| 2034 | 31 | MLB MLE | PIT | 8 | 8 | 47 | 197 | 46 | 22 | 6 | 100% | 5.8 | 23.4% | 11.2% | 12.2% | 3.3% | 4.57 | 4.71 | +0.4 |
| 2035 | 32 | MLB MLE | PIT | 6 | 6 | 33 | 140 | 32 | 16 | 5 | 100% | 5.5 | 22.6% | 11.6% | 11.0% | 3.5% | 4.81 | 4.96 | +0.2 |
| 2036 | 33 | MLB MLE | PIT | 4 | 4 | 22 | 92 | 20 | 11 | 3 | 100% | 5.5 | 21.7% | 12.0% | 9.7% | 3.8% | 5.07 | 5.24 | +0.0 |
| 2028 | 25 | MLB CTX | PIT | 19 | 19 | 113 | 477 | 120 | 48 | 11 | 100% | 5.9 | 25.2% | 10.1% | 15.1% | 2.3% | 4.00 | 3.92 | +1.9 |
| 2029 | 26 | MLB CTX | PIT | 19 | 19 | 113 | 477 | 122 | 48 | 11 | 100% | 5.9 | 25.5% | 10.0% | 15.5% | 2.3% | 3.93 | 3.88 | +1.9 |
| 2030 | 27 | MLB CTX | PIT | 14 | 14 | 86 | 363 | 93 | 37 | 9 | 100% | 6.1 | 25.5% | 10.1% | 15.4% | 2.4% | 3.92 | 3.91 | +1.4 |
| 2031 | 28 | MLB CTX | PIT | 14 | 14 | 81 | 342 | 87 | 35 | 8 | 100% | 5.8 | 25.4% | 10.3% | 15.1% | 2.5% | 3.97 | 4.00 | +1.2 |
| 2032 | 29 | MLB CTX | PIT | 12 | 12 | 70 | 296 | 73 | 31 | 8 | 100% | 5.8 | 24.8% | 10.5% | 14.3% | 2.6% | 4.07 | 4.15 | +0.9 |
| 2033 | 30 | MLB CTX | PIT | 10 | 10 | 58 | 245 | 59 | 26 | 7 | 100% | 5.8 | 24.1% | 10.8% | 13.3% | 2.8% | 4.24 | 4.36 | +0.6 |
| 2034 | 31 | MLB CTX | PIT | 7 | 7 | 44 | 186 | 43 | 21 | 6 | 100% | 6.3 | 23.4% | 11.2% | 12.2% | 3.0% | 4.44 | 4.58 | +0.4 |
| 2035 | 32 | MLB CTX | PIT | 5 | 5 | 32 | 135 | 30 | 16 | 4 | 100% | 6.4 | 22.6% | 11.6% | 11.0% | 3.2% | 4.67 | 4.82 | +0.2 |
| 2036 | 33 | MLB CTX | PIT | 4 | 4 | 21 | 89 | 19 | 11 | 3 | 100% | 5.2 | 21.7% | 12.0% | 9.7% | 3.5% | 4.91 | 5.08 | +0.0 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 141 | 137 | 802 | 3402 | 817 | 355 | 84 | 97% | 5.7 | 24.0% | 10.4% | 13.6% | 2.5% | 4.17 | 3.75 | +16.0 | |
| / 200 IP | — | RAW | 35 | 34 | 200 | 848 | 204 | 89 | 21 | 97% | 5.7 | 24.0% | 10.4% | 13.6% | 2.5% | 4.17 | 3.75 | +4.0 | |
| Career | — | MLE | 127 | 117 | 557 | 2376 | 536 | 267 | 60 | 92% | 4.4 | 22.6% | 11.2% | 11.3% | 2.5% | 3.96 | 4.01 | +12.5 | |
| / 200 IP | — | MLE | 46 | 42 | 200 | 853 | 192 | 96 | 22 | 92% | 4.4 | 22.6% | 11.2% | 11.3% | 2.5% | 3.96 | 4.01 | +3.0 | |
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.
2025 AAAIndianapolis Indians · 100 IPFIP 3.30 → 3.67 (+0.37)K% 27.4% → 23.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 27.38% | — | ×0.860 | 23.54% |
| BB% (unintentional) /BF | 11.99% | — | ×0.900 | 10.79% |
| HR / BF /BF | 1.81% | ÷0.915 | ×1.100 | 2.18% |
Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, 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 83).
Result: FIP 3.30 → 3.67, 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).
2024 AAAltoona Curve · 80 IPFIP 2.85 → 3.93 (+1.08)K% 29.4% → 23.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 29.38% | — | ×0.810 | 23.79% |
| BB% (unintentional) /BF | 8.12% | — | ×1.100 | 8.94% |
| HR / BF /BF | 2.19% | ÷0.844 | ×1.200 | 3.11% |
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 69).
Result: FIP 2.85 → 3.93, 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).
2024 AAAIndianapolis Indians · 39 IPFIP 2.12 → 2.54 (+0.43)K% 34.0% → 29.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 33.96% | — | ×0.860 | 29.21% |
| BB% (unintentional) /BF | 9.43% | — | ×0.900 | 8.49% |
| HR / BF /BF | 1.26% | ÷0.909 | ×1.100 | 1.52% |
Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, 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 82).
Result: FIP 2.12 → 2.54, 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).
2023 A+Greensboro Grasshoppers · 106 IPFIP 4.07 → 4.85 (+0.77)K% 25.6% → 19.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.64% | — | ×0.770 | 19.74% |
| BB% (unintentional) /BF | 10.90% | — | ×1.150 | 12.53% |
| HR / BF /BF | 3.21% | ÷1.202 | ×1.250 | 3.33% |
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 140).
Result: FIP 4.07 → 4.85, 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).
2022 ABradenton Marauders · 26 IPFIP 4.10 → 5.34 (+1.24)K% 28.9% → 21.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 28.95% | — | ×0.740 | 21.42% |
| BB% (unintentional) /BF | 15.79% | — | ×1.180 | 18.63% |
| HR / BF /BF | 2.63% | ÷1.111 | ×1.300 | 3.08% |
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 122).
Result: FIP 4.10 → 5.34, 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).
2022 ROKFCL Pirates · 15 IPFIP 1.38 → 3.16 (+1.77)K% 45.8% → 31.1%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 45.76% | — | ×0.680 | 31.12% |
| BB% (unintentional) /BF | 16.95% | — | ×1.250 | 21.19% |
| HR / BF /BF | 0.00% | ÷0.977 | ×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 95).
Result: FIP 1.38 → 3.16, 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).
Career Comps
Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.
| Player | 162s | IP/yr | K% | BB% | HR/9 | ERA |
|---|---|---|---|---|---|---|
| OGILVIE CAREER PROJECTION | 4.8 | 79 | 24.1% | 10.5% | 1.02 | 4.25 |
| Dick Selma ('65-'74, 6 WAR*) | 4.2 | 93 | 24.5%* | 11.1%* | 1.12* | 4.28* |
| Brandon Morrow ('18) | 4.3 | 78 | 24.0% | 10.1% | 0.92 | 3.96 |
| Jim Gott ('82-'95, 10 WAR*) | 5.6 | 93 | 23.6%* | 9.7%* | 0.91* | 4.20* |
| Don Aase ('77-'90, 12 WAR*) | 5.5 | 92 | 20.7%* | 9.6%* | 0.94* | 4.14* |
| Darren Dreifort ('04) | 4.4 | 97 | 21.2% | 10.3% | 0.93 | 4.36 |
| Juan Cruz ('12) | 3.3 | 60 | 23.1% | 12.1% | 0.92 | 4.05 |