Caleb Thielbar
P Chicago Cubs| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 37 | MIX2 levels | 61 | 0 | 50 | 5.19 | 3.97 | 25.6% | 10.1% | 0.3 | K 24.5% · BB 10.2% · FIP 3.84 |
| 2025 | 38 | MLBCHC | 67 | 0 | 58 | 2.64 | 2.91 | 25.5% | 5.5% | 1.1 | |
| 2026 | 39 | MIX2 levels | 59 | 0 | 51 | 4.76 | 4.41 | 28.6% | 7.4% | 0.1 | K 28.3% · BB 7.1% · FIP 4.57 |
| 2027PROJ | 40 | MLBCHC | 47 | 0 | 49 | 4.10 | 4.19 | 26.1% | 7.0% | 0.2 | |
| 2028PROJ | 41 | MLBCHC | 25 | 0 | 26 | 4.41 | 4.62 | 25.0% | 7.7% | -0.0 |
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) | |||||||||||||||||||
| ▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far) | |||||||||||||||||||
| 2013 | 26 | MLB MLE | Minnesota Twins | 49 | 0 | 46 | 171 | 39 | 10 | 4 | 0% | 0.9 | 22.8% | 5.8% | 17.0% | 2.3% | 1.76 | 3.19 | +0.7 |
| 2013 | 26 | MLB RAW | Minnesota Twins | 49 | 0 | 46 | 171 | 39 | 10 | 4 | 0% | 0.9 | 22.8% | 5.8% | 17.0% | 2.3% | 1.76 | 3.19 | +0.7 |
| 2014 | 27 | MLB MLE | Minnesota Twins | 54 | 0 | 48 | 206 | 35 | 15 | 3 | 0% | 0.9 | 17.0% | 7.3% | 9.7% | 1.4% | 3.40 | 3.38 | +0.7 |
| 2014 | 27 | MLB RAW | Minnesota Twins | 54 | 0 | 48 | 206 | 35 | 15 | 3 | 0% | 0.9 | 17.0% | 7.3% | 9.7% | 1.5% | 3.40 | 3.39 | +0.7 |
| 2015 | 28 | MIX MLE | 2 levels | 44 | 0 | 49 | 214 | 31 | 20 | 2 | 0% | 1.1 | 11.8% | 10.8% | 1.0% | 1.2% | 2.55 | 4.15 | +0.2 |
| 2015 | 28 | MIX RAW | 2 levels | 44 | 0 | 49 | 214 | 31 | 20 | 2 | 0% | 1.1 | 14.5% | 9.3% | 5.1% | 0.9% | 2.55 | 3.59 | +0.6 |
| 2018 | 31 | MIX MLE | 2 levels | 39 | 0 | 57 | 221 | 51 | 5 | 3 | 0% | 1.5 | 19.0% | 2.4% | 16.6% | 1.6% | 2.05 | 2.68 | — |
| 2018 | 31 | MIX RAW | 2 levels | 39 | 0 | 57 | 221 | 51 | 5 | 3 | 0% | 1.5 | 23.1% | 2.3% | 20.8% | 1.4% | 2.05 | 2.26 | — |
| 2019 | 32 | AAA MLE | Gwinnett Stripers | 51 | 0 | 78 | 319 | 94 | 16 | 7 | 0% | 1.5 | 25.9% | 5.3% | 20.7% | 2.7% | 3.22 | 3.05 | — |
| 2019 | 32 | AAA RAW | Gwinnett Stripers | 51 | 0 | 78 | 319 | 94 | 16 | 7 | 0% | 1.5 | 29.5% | 5.0% | 24.5% | 2.2% | 3.22 | 2.47 | — |
| 2020 | 33 | MLB MLE | Minnesota Twins | 17 | 0 | 20 | 82 | 22 | 9 | 0 | 0% | 1.2 | 26.8% | 11.0% | 15.9% | 0.0% | 2.25 | 2.22 | +0.6 |
| 2020 | 33 | MLB RAW | Minnesota Twins | 17 | 0 | 20 | 82 | 22 | 9 | 0 | 0% | 1.2 | 26.8% | 11.0% | 15.9% | 0.0% | 2.25 | 2.25 | +0.6 |
| 2021 | 34 | MLB MLE | Minnesota Twins | 59 | 0 | 64 | 266 | 77 | 19 | 8 | 0% | 1.1 | 28.9% | 7.1% | 21.8% | 3.0% | 3.23 | 3.20 | +1.0 |
| 2021 | 34 | MLB RAW | Minnesota Twins | 59 | 0 | 64 | 266 | 77 | 19 | 8 | 0% | 1.1 | 28.9% | 7.1% | 21.8% | 3.0% | 3.23 | 3.21 | +1.0 |
| 2022 | 35 | MIX MLE | 2 levels | 68 | 0 | 60 | 248 | 81 | 17 | 5 | 0% | 0.9 | 32.7% | 6.9% | 25.7% | 2.0% | 3.43 | 2.34 | +1.6 |
| 2022 | 35 | MIX RAW | 2 levels | 68 | 0 | 60 | 248 | 81 | 17 | 5 | 0% | 0.9 | 32.7% | 6.9% | 25.8% | 2.0% | 3.43 | 2.34 | +1.6 |
| 2023 | 36 | MIX MLE | 2 levels | 40 | 0 | 35 | 134 | 41 | 7 | 7 | 0% | 0.9 | 30.0% | 5.0% | 25.0% | 5.8% | 2.86 | 4.39 | +0.1 |
| 2023 | 36 | MIX RAW | 2 levels | 40 | 0 | 35 | 134 | 41 | 7 | 7 | 0% | 0.9 | 30.6% | 5.2% | 25.4% | 5.2% | 2.86 | 3.97 | +0.2 |
| 2024 | 37 | MIX MLE | 2 levels | 61 | 0 | 50 | 227 | 58 | 23 | 7 | 0% | 0.8 | 24.5% | 10.2% | 14.4% | 2.8% | 5.19 | 3.84 | +0.4 |
| 2024 | 37 | MIX MLE | 2 levels | 61 | 0 | 50 | 227 | 58 | 23 | 7 | 0% | 0.8 | 24.5% | 10.2% | 14.4% | 2.8% | 5.19 | 3.84 | +0.4 |
| 2024 | 37 | MIX RAW | 2 levels | 61 | 0 | 50 | 227 | 58 | 23 | 7 | 0% | 0.8 | 25.6% | 10.1% | 15.4% | 3.1% | 5.19 | 3.97 | +0.3 |
| 2025 | 38 | MLB MLE | Chicago Cubs | 67 | 0 | 58 | 220 | 56 | 12 | 5 | 0% | 0.9 | 25.5% | 5.5% | 20.0% | 2.4% | 2.64 | 2.94 | +1.1 |
| 2025 | 38 | MLB MLE | Chicago Cubs | 67 | 0 | 58 | 220 | 56 | 12 | 5 | 0% | 0.9 | 25.5% | 5.5% | 20.0% | 2.4% | 2.64 | 2.94 | +1.1 |
| 2025 | 38 | MLB RAW | Chicago Cubs | 67 | 0 | 58 | 220 | 56 | 12 | 5 | 0% | 0.9 | 25.5% | 5.5% | 20.0% | 2.3% | 2.64 | 2.91 | +1.1 |
| 2026 | 39 | MIX MLE | 2 levels | 59 | 0 | 51 | 217 | 62 | 16 | 11 | 0% | 0.9 | 28.3% | 7.1% | 21.2% | 5.4% | 4.76 | 4.57 | -0.0 |
| 2026 | 39 | MIX MLE | 2 levels | 59 | 0 | 51 | 217 | 62 | 16 | 11 | 0% | 0.9 | 28.3% | 7.1% | 21.2% | 5.4% | 4.76 | 4.57 | -0.0 |
| 2026 | 39 | MIX RAW | 2 levels | 59 | 0 | 51 | 217 | 62 | 16 | 11 | 0% | 0.9 | 28.6% | 7.4% | 21.2% | 5.1% | 4.76 | 4.41 | +0.1 |
| ▸ Career totals (raw MLB only — as recorded) | |||||||||||||||||||
| MLB Career | — | 472 | 0 | 428 | 1758 | 463 | 125 | 49 | 0% | 0.9 | 26.3% | 7.1% | 19.2% | 2.8% | 3.45 | 3.30 | +6.4 | ||
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 40 | MLB | CHC | 47 | 0 | 49 | 207 | 54 | 15 | 8 | 0% | 1.0 | 26.1% | 7.0% | 19.1% | 3.7% | 4.10 | 4.19 | +0.2 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 41 | MLB MLE | CHC | 25 | 0 | 26 | 111 | 28 | 9 | 5 | 0% | 1.1 | 25.0% | 7.7% | 17.3% | 4.1% | 4.41 | 4.62 | -0.0 |
| 2028 | 41 | MLB CTX | CHC | 25 | 0 | 26 | 110 | 27 | 8 | 5 | 0% | 1.0 | 25.0% | 7.7% | 17.3% | 4.1% | 4.41 | 4.62 | -0.0 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 497 | 0 | 454 | 1869 | 491 | 134 | 54 | 0% | 0.9 | 26.3% | 7.1% | 19.1% | 2.9% | 3.50 | 3.36 | +6.4 | |
| / 200 IP | — | RAW | 219 | 0 | 200 | 823 | 216 | 59 | 24 | 0% | 0.9 | 26.3% | 7.1% | 19.1% | 2.9% | 3.50 | 3.36 | +2.8 | |
| Career | — | MLE | 608 | 0 | 617 | 2525 | 617 | 173 | 66 | 0% | 1.0 | 24.4% | 6.8% | 17.6% | 2.6% | 3.17 | 3.33 | +6.3 | |
| / 200 IP | — | MLE | 197 | 0 | 200 | 819 | 200 | 56 | 21 | 0% | 1.0 | 24.4% | 6.8% | 17.6% | 2.6% | 3.17 | 3.33 | +2.8 | |
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.
2019 AAAGwinnett Stripers · 78 IPFIP 2.45 → 3.05 (+0.60)K% 29.5% → 25.9%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 29.47% | — | ×0.880 | 25.93% |
| BB% (unintentional) /BF | 5.02% | — | ×1.050 | 5.27% |
| HR / BF /BF | 2.19% | ÷0.899 | ×1.100 | 2.68% |
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 80).
Result: FIP 2.45 → 3.05, 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).
2018 AAErie SeaWolves · 38 IPFIP 1.40 → 1.90 (+0.50)K% 27.8% → 22.5%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 27.78% | — | ×0.810 | 22.50% |
| BB% (unintentional) /BF | 2.08% | — | ×1.100 | 2.29% |
| HR / BF /BF | 0.69% | ÷1.112 | ×1.200 | 0.75% |
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 122).
Result: FIP 1.40 → 1.90, 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).
2018 AAAToledo Mud Hens · 19 IPFIP 3.65 → 4.14 (+0.49)K% 14.3% → 12.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 14.29% | — | ×0.880 | 12.57% |
| BB% (unintentional) /BF | 2.60% | — | ×1.050 | 2.73% |
| HR / BF /BF | 2.60% | ÷0.893 | ×1.100 | 3.20% |
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 79).
Result: FIP 3.65 → 4.14, 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 AAAEl Paso Chihuahuas · 44 IPFIP 3.84 → 4.15 (+0.31)K% 13.4% → 11.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 13.40% | — | ×0.880 | 11.79% |
| BB% (unintentional) /BF | 10.31% | — | ×1.050 | 10.82% |
| HR / BF /BF | 1.03% | ÷0.919 | ×1.100 | 1.23% |
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 84).
Result: FIP 3.84 → 4.15, 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).
Career Comps
Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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 | 2.5 | 46 | 26.2% | 7.8% | 1.14 | 3.56 |
| Jake McGee ('22) | 2.9 | 48 | 26.0% | 6.6% | 1.10 | 3.71 |
| Joe Hoerner ('63-'77, 8 WAR*) | 2.8 | 51 | 23.2%* | 7.9%* | 1.21* | 3.52* |
| Héctor Rondón ('20) | 2.2 | 54 | 24.2% | 7.4% | 1.03 | 3.49 |
| Jason Motte ('17) | 2.0 | 50 | 23.0% | 7.7% | 1.11 | 3.30 |
| Mike Schooler ('88-'93, 5 WAR*) | 1.5 | 49 | 26.9%* | 8.0%* | 0.96* | 3.68* |
| Joe Sambito ('76-'87, 8 WAR*) | 3.1 | 70 | 26.8%* | 7.5%* | 1.06* | 3.65* |