Jesus Tillero
P Ontario Tower Buzzers| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 18 | ROKLAD | 9 | 5 | 21 | 5.23 | 4.55 | 19.6% | 14.4% | — | K 13.3% · BB 18.0% · FIP 5.94 |
| 2025 | 19 | MIX2 levels | 19 | 12 | 54 | 4.50 | 4.43 | 21.4% | 9.9% | — | K 15.1% · BB 12.0% · FIP 5.50 |
| 2026 | 20 | ALAD | 18 | 8 | 75 | 6.60 | 4.05 | 19.7% | 8.7% | — | K 14.6% · BB 10.3% · FIP 5.03 |
| 2027PROJ | 21 | MLBLAD | — | — | 0 | 5.14 | 5.14 | 16.6% | 10.8% | — | |
| 2028PROJ49% MLB | 22 | MLBLAD | 5 | 5 | 28 | 4.96 | 4.86 | 18.9% | 9.8% | 0.2 | |
| 2029PROJ73% MLB | 23 | MLBLAD | 7 | 7 | 42 | 4.75 | 4.64 | 20.2% | 9.3% | 0.4 |
Grades · 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) | |||||||||||||||||||
| 2023 | 17 | ROK MLE | DSL LAD Bautista | 10 | 10 | 31 | 119 | 34 | 6 | 0 | 100% | 3.1 | 19.4% | 6.3% | 13.1% | 0.0% | 1.47 | 2.26 | — |
| 2023 | 17 | ROK RAW | DSL LAD Bautista | 10 | 10 | 31 | 119 | 34 | 6 | 0 | 100% | 3.1 | 28.6% | 5.0% | 23.5% | 0.0% | 1.47 | 1.47 | — |
| 2024 | 18 | ROK MLE | ACL Dodgers | 9 | 5 | 21 | 97 | 19 | 14 | 2 | 56% | 2.3 | 13.3% | 18.0% | -4.7% | 3.1% | 5.23 | 5.94 | — |
| 2024 | 18 | ROK MLE | ACL Dodgers | 9 | 5 | 21 | 97 | 19 | 14 | 2 | 56% | 2.3 | 13.3% | 18.0% | -4.7% | 3.1% | 5.23 | 5.94 | — |
| 2024 | 18 | ROK RAW | ACL Dodgers | 9 | 5 | 21 | 97 | 19 | 14 | 2 | 56% | 2.3 | 19.6% | 14.4% | 5.2% | 2.1% | 5.23 | 4.55 | — |
| 2025 | 19 | MIX MLE | 2 levels | 19 | 12 | 54 | 243 | 52 | 24 | 8 | 63% | 2.8 | 15.1% | 12.0% | 3.1% | 3.9% | 4.50 | 5.50 | — |
| 2025 | 19 | MIX MLE | 2 levels | 19 | 12 | 54 | 243 | 52 | 24 | 8 | 63% | 2.8 | 15.1% | 12.0% | 3.1% | 3.9% | 4.50 | 5.50 | — |
| 2025 | 19 | MIX RAW | 2 levels | 19 | 12 | 54 | 243 | 52 | 24 | 8 | 63% | 2.8 | 21.4% | 9.9% | 11.5% | 3.3% | 4.50 | 4.43 | — |
| 2026 | 20 | A MLE | Ontario Tower Buzzers | 18 | 8 | 75 | 345 | 68 | 30 | 9 | 44% | 4.2 | 14.6% | 10.3% | 4.3% | 3.4% | 6.60 | 5.03 | — |
| 2026 | 20 | A MLE | Ontario Tower Buzzers | 18 | 8 | 75 | 345 | 68 | 30 | 9 | 44% | 4.2 | 14.6% | 10.3% | 4.3% | 3.4% | 6.60 | 5.03 | — |
| 2026 | 20 | A RAW | Ontario Tower Buzzers | 18 | 8 | 75 | 345 | 68 | 30 | 9 | 44% | 4.2 | 19.7% | 8.7% | 11.0% | 2.6% | 6.60 | 4.05 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 21 | MLB | LAD | — | — | 0 | — | — | — | — | — | — | 16.6% | 10.8% | 5.8% | 3.1% | 5.14 | 5.14 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 22 | MLB MLE | LAD | 10 | 10 | 58 | 244 | 46 | 24 | 7 | 100% | 5.8 | 18.9% | 9.8% | 9.0% | 3.0% | 4.89 | 4.79 | +0.4 |
| 2029 | 23 | MLB MLE | LAD | 10 | 10 | 58 | 244 | 49 | 23 | 7 | 100% | 5.8 | 20.2% | 9.3% | 11.0% | 3.0% | 4.68 | 4.57 | +0.6 |
| 2030 | 24 | MLB MLE | LAD | 10 | 10 | 58 | 244 | 51 | 22 | 7 | 100% | 5.8 | 21.1% | 8.9% | 12.2% | 2.9% | 4.53 | 4.44 | +0.6 |
| 2031 | 25 | MLB MLE | LAD | 9 | 9 | 54 | 227 | 49 | 20 | 7 | 100% | 6.0 | 21.5% | 8.7% | 12.8% | 2.9% | 4.44 | 4.37 | +0.6 |
| 2032 | 26 | MLB MLE | LAD | 9 | 9 | 54 | 228 | 49 | 20 | 7 | 100% | 6.0 | 21.7% | 8.7% | 13.0% | 2.9% | 4.39 | 4.35 | +0.7 |
| 2033 | 27 | MLB MLE | LAD | 9 | 9 | 53 | 223 | 48 | 19 | 7 | 100% | 5.9 | 21.7% | 8.7% | 13.0% | 3.0% | 4.39 | 4.39 | +0.6 |
| 2034 | 28 | MLB MLE | LAD | 8 | 8 | 50 | 212 | 46 | 19 | 7 | 100% | 6.3 | 21.6% | 8.9% | 12.7% | 3.1% | 4.44 | 4.47 | +0.5 |
| 2035 | 29 | MLB MLE | LAD | 8 | 8 | 46 | 196 | 42 | 18 | 6 | 100% | 5.8 | 21.3% | 9.1% | 12.2% | 3.2% | 4.54 | 4.60 | +0.4 |
| 2036 | 30 | MLB MLE | LAD | 7 | 7 | 42 | 177 | 37 | 17 | 6 | 100% | 6.0 | 21.0% | 9.4% | 11.6% | 3.4% | 4.69 | 4.78 | +0.3 |
| 2028 | 22 | MLB CTX | LAD | 5 | 5 | 28 | 118 | 22 | 12 | 4 | 100% | 5.6 | 18.9% | 9.8% | 9.0% | 3.1% | 4.96 | 4.86 | +0.2 |
| 2029 | 23 | MLB CTX | LAD | 7 | 7 | 42 | 177 | 36 | 16 | 5 | 100% | 6.0 | 20.2% | 9.3% | 11.0% | 3.1% | 4.75 | 4.64 | +0.4 |
| 2030 | 24 | MLB CTX | LAD | 8 | 8 | 48 | 203 | 43 | 18 | 6 | 100% | 6.0 | 21.1% | 8.9% | 12.2% | 3.1% | 4.60 | 4.51 | +0.5 |
| 2031 | 25 | MLB CTX | LAD | 8 | 8 | 48 | 203 | 44 | 18 | 6 | 100% | 6.0 | 21.5% | 8.7% | 12.8% | 3.1% | 4.51 | 4.44 | +0.6 |
| 2032 | 26 | MLB CTX | LAD | 8 | 8 | 49 | 207 | 45 | 18 | 6 | 100% | 6.1 | 21.7% | 8.7% | 13.0% | 3.1% | 4.46 | 4.42 | +0.6 |
| 2033 | 27 | MLB CTX | LAD | 8 | 8 | 49 | 207 | 45 | 18 | 6 | 100% | 6.1 | 21.7% | 8.7% | 13.0% | 3.1% | 4.46 | 4.46 | +0.6 |
| 2034 | 28 | MLB CTX | LAD | 8 | 8 | 47 | 198 | 43 | 18 | 6 | 100% | 5.9 | 21.6% | 8.9% | 12.7% | 3.2% | 4.51 | 4.54 | +0.5 |
| 2035 | 29 | MLB CTX | LAD | 7 | 7 | 44 | 186 | 40 | 17 | 6 | 100% | 6.3 | 21.3% | 9.1% | 12.2% | 3.4% | 4.62 | 4.68 | +0.4 |
| 2036 | 30 | MLB CTX | LAD | 7 | 7 | 40 | 169 | 35 | 16 | 6 | 100% | 5.7 | 21.0% | 9.4% | 11.6% | 3.6% | 4.77 | 4.86 | +0.3 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 67 | 67 | 395 | 1666 | 352 | 150 | 53 | 100% | 5.9 | 21.1% | 9.0% | 12.1% | 3.2% | 4.60 | 4.20 | +5.6 | |
| / 200 IP | — | RAW | 34 | 34 | 200 | 844 | 178 | 76 | 27 | 100% | 5.9 | 21.1% | 9.0% | 12.1% | 3.2% | 4.60 | 4.20 | +2.8 | |
| Career | — | MLE | 56 | 35 | 180 | 804 | 123 | 89 | 24 | 62% | 3.2 | 15.3% | 11.1% | 4.2% | 3.0% | 4.94 | 4.87 | +4.8 | |
| / 200 IP | — | MLE | 62 | 39 | 200 | 892 | 136 | 99 | 27 | 62% | 3.2 | 15.3% | 11.1% | 4.2% | 3.0% | 4.94 | 4.87 | +2.0 | |
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.
2026 AOntario Tower Buzzers · 75 IPFIP 3.97 → 5.03 (+1.06)K% 19.7% → 14.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 19.71% | — | ×0.740 | 14.59% |
| BB% (unintentional) /BF | 8.70% | — | ×1.180 | 10.26% |
| HR / BF /BF | 2.61% | ÷1.000 | ×1.300 | 3.39% |
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 100).
Result: FIP 3.97 → 5.03, 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).
2025 ROKACL Dodgers · 31 IPFIP 4.56 → 5.81 (+1.25)K% 21.8% → 14.8%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 21.83% | — | ×0.680 | 14.85% |
| BB% (unintentional) /BF | 7.75% | — | ×1.250 | 9.68% |
| HR / BF /BF | 4.23% | ÷1.187 | ×1.400 | 4.98% |
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 137).
Result: FIP 4.56 → 5.81, 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).
2025 ARancho Cucamonga Quakes · 23 IPFIP 4.06 → 5.06 (+1.00)K% 20.8% → 15.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 20.79% | — | ×0.740 | 15.39% |
| BB% (unintentional) /BF | 12.87% | — | ×1.180 | 15.19% |
| HR / BF /BF | 1.98% | ÷1.055 | ×1.300 | 2.44% |
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 111).
Result: FIP 4.06 → 5.06, 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 ROKACL Dodgers · 21 IPFIP 4.41 → 5.94 (+1.54)K% 19.6% → 13.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 19.59% | — | ×0.680 | 13.32% |
| BB% (unintentional) /BF | 14.43% | — | ×1.250 | 18.04% |
| HR / BF /BF | 2.06% | ÷0.942 | ×1.400 | 3.06% |
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 88).
Result: FIP 4.41 → 5.94, 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 ROKDSL LAD Bautista · 31 IPFIP 1.33 → 2.26 (+0.93)K% 28.6% → 19.4%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 28.57% | — | ×0.680 | 19.43% |
| BB% (unintentional) /BF | 5.04% | — | ×1.250 | 6.30% |
| HR / BF /BF | 0.00% | ÷1.319 | ×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 164).
Result: FIP 1.33 → 2.26, 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 | 2.6 | 52 | 20.6% | 9.2% | 1.18 | 4.61 |
| Cliff Politte ('06) | 2.1 | 51 | 19.3% | 9.6% | 1.23 | 4.40 |
| Jacob Barnes ('25) | 1.7 | 48 | 22.0% | 9.2% | 1.15 | 4.79 |
| Dan Miceli ('06) | 3.5 | 64 | 20.6% | 10.1% | 1.19 | 4.48 |
| Bill Pleis ('61-'66, -0 WAR*) | 1.4 | 56 | 19.7%* | 9.8%* | 1.15* | 4.53* |
| Rich Rodriguez ('90-'03, 3 WAR*) | 3.2 | 64 | 17.3%* | 9.3%* | 1.05* | 4.00* |
| Jerry Don Gleaton ('79-'92, 2 WAR*) | 2.2 | 64 | 19.4%* | 10.2%* | 1.05* | 4.44* |