Juan Bello
P Asheville Tourists| Year | Age | Lvl / Team | G | GS | IP | ERA | FIP | K% | BB% | WAR | MLE rates |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 20 | ACHC | 22 | 22 | 90 | 3.21 | 2.73 | 25.1% | 7.7% | — | K 18.6% · BB 9.1% · FIP 3.77 |
| 2025 | 21 | A+HOU | 17 | 9 | 66 | 3.70 | 3.54 | 23.0% | 11.1% | — | K 17.7% · BB 12.8% · FIP 4.15 |
| 2027PROJ | 23 | MLBHOU | — | — | 0 | 5.17 | 5.17 | 17.4% | 12.7% | — | |
| 2028PROJ43% MLB | 24 | MLBHOU | 5 | 5 | 27 | 5.00 | 4.94 | 18.6% | 11.7% | 0.1 | |
| 2029PROJ66% MLB | 25 | MLBHOU | 5 | 5 | 30 | 4.86 | 4.80 | 19.3% | 11.1% | 0.2 |
Grades · 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) | |||||||||||||||||||
| 2022 | 18 | ROK MLE | DSL Cubs Red | 9 | 8 | 31 | 126 | 34 | 7 | 3 | 89% | 3.5 | 18.3% | 6.9% | 11.4% | 2.9% | 4.02 | 4.02 | — |
| 2022 | 18 | ROK RAW | DSL Cubs Red | 9 | 8 | 31 | 126 | 34 | 7 | 3 | 89% | 3.5 | 27.0% | 5.6% | 21.4% | 2.4% | 4.02 | 2.84 | — |
| 2023 | 19 | ROK MLE | ACL Cubs | 4 | 3 | 4 | 21 | 5 | 4 | 0 | 75% | 1.1 | 23.8% | 19.0% | 4.8% | 0.0% | 10.38 | 3.50 | — |
| 2023 | 19 | ROK RAW | ACL Cubs | 4 | 3 | 4 | 21 | 5 | 4 | 0 | 75% | 1.1 | 23.8% | 19.0% | 4.8% | 0.0% | 10.38 | 3.56 | — |
| 2024 | 20 | A MLE | Myrtle Beach Pelicans | 22 | 22 | 90 | 363 | 91 | 28 | 5 | 100% | 4.1 | 18.6% | 9.1% | 9.4% | 2.0% | 3.21 | 3.77 | — |
| 2024 | 20 | A MLE | Myrtle Beach Pelicans | 22 | 22 | 90 | 363 | 91 | 28 | 5 | 100% | 4.1 | 18.6% | 9.1% | 9.4% | 2.0% | 3.21 | 3.77 | — |
| 2024 | 20 | A RAW | Myrtle Beach Pelicans | 22 | 22 | 90 | 363 | 91 | 28 | 5 | 100% | 4.1 | 25.1% | 7.7% | 17.4% | 1.4% | 3.21 | 2.73 | — |
| 2025 | 21 | A+ MLE | Asheville Tourists | 17 | 9 | 66 | 287 | 66 | 32 | 5 | 53% | 3.9 | 17.7% | 12.8% | 4.9% | 1.7% | 3.70 | 4.15 | — |
| 2025 | 21 | A+ MLE | Asheville Tourists | 17 | 9 | 66 | 287 | 66 | 32 | 5 | 53% | 3.9 | 17.7% | 12.8% | 4.9% | 1.7% | 3.70 | 4.15 | — |
| 2025 | 21 | A+ RAW | Asheville Tourists | 17 | 9 | 66 | 287 | 66 | 32 | 5 | 53% | 3.9 | 23.0% | 11.1% | 11.8% | 1.7% | 3.70 | 3.54 | — |
| ▸ 2027 season — projected remainder (no 2027 stats recorded) | |||||||||||||||||||
| 2027 | 23 | MLB | HOU | — | — | 0 | — | — | — | — | — | — | 17.4% | 12.7% | 4.7% | 2.8% | 5.17 | 5.17 | — |
| ▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%) | |||||||||||||||||||
| 2028 | 24 | MLB MLE | HOU | 11 | 11 | 62 | 260 | 48 | 31 | 7 | 100% | 5.6 | 18.6% | 11.7% | 6.9% | 2.8% | 5.00 | 4.94 | +0.3 |
| 2029 | 25 | MLB MLE | HOU | 8 | 8 | 45 | 191 | 37 | 21 | 5 | 100% | 5.7 | 19.3% | 11.1% | 8.2% | 2.8% | 4.86 | 4.80 | +0.3 |
| 2030 | 26 | MLB MLE | HOU | 7 | 7 | 44 | 187 | 37 | 21 | 5 | 100% | 6.3 | 19.7% | 11.0% | 8.7% | 2.8% | 4.79 | 4.76 | +0.3 |
| 2031 | 27 | MLB MLE | HOU | 7 | 7 | 43 | 181 | 36 | 20 | 5 | 100% | 6.1 | 19.8% | 11.0% | 8.8% | 2.9% | 4.78 | 4.78 | +0.3 |
| 2028 | 24 | MLB CTX | HOU | 5 | 5 | 27 | 114 | 21 | 13 | 3 | 100% | 5.4 | 18.6% | 11.7% | 6.9% | 2.8% | 5.00 | 4.94 | +0.1 |
| 2029 | 25 | MLB CTX | HOU | 5 | 5 | 30 | 127 | 24 | 14 | 4 | 100% | 6.0 | 19.3% | 11.1% | 8.2% | 2.8% | 4.86 | 4.80 | +0.2 |
| 2030 | 26 | MLB CTX | HOU | 6 | 6 | 35 | 148 | 29 | 16 | 4 | 100% | 5.8 | 19.7% | 11.0% | 8.7% | 2.8% | 4.79 | 4.76 | +0.3 |
| 2031 | 27 | MLB CTX | HOU | 6 | 6 | 37 | 156 | 31 | 17 | 4 | 100% | 6.2 | 19.8% | 11.0% | 8.8% | 2.9% | 4.78 | 4.78 | +0.3 |
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||
| Career | — | RAW | 22 | 22 | 128 | 542 | 105 | 61 | 15 | 100% | 5.8 | 19.4% | 11.2% | 8.2% | 2.8% | 4.85 | 4.43 | +1.4 | |
| / 200 IP | — | RAW | 34 | 34 | 200 | 844 | 164 | 95 | 23 | 100% | 5.9 | 19.4% | 11.2% | 8.2% | 2.8% | 4.85 | 4.43 | +2.3 | |
| Career | — | MLE | 52 | 42 | 191 | 797 | 146 | 83 | 16 | 81% | 3.7 | 18.4% | 10.4% | 8.0% | 2.0% | 3.68 | 3.94 | +1.3 | |
| / 200 IP | — | MLE | 54 | 44 | 200 | 835 | 153 | 86 | 16 | 81% | 3.7 | 18.4% | 10.4% | 8.0% | 2.0% | 3.68 | 3.94 | +1.3 | |
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.
2025 A+Asheville Tourists · 66 IPFIP 3.53 → 4.15 (+0.62)K% 23.0% → 17.7%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 23.00% | — | ×0.770 | 17.71% |
| BB% (unintentional) /BF | 11.15% | — | ×1.150 | 12.82% |
| HR / BF /BF | 1.74% | ÷1.297 | ×1.250 | 1.68% |
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 159).
Result: FIP 3.53 → 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).
2024 AMyrtle Beach Pelicans · 90 IPFIP 2.72 → 3.77 (+1.05)K% 25.1% → 18.6%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 25.07% | — | ×0.740 | 18.55% |
| BB% (unintentional) /BF | 7.71% | — | ×1.180 | 9.10% |
| HR / BF /BF | 1.38% | ÷0.908 | ×1.300 | 1.97% |
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 82).
Result: FIP 2.72 → 3.77, 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 ROKACL Cubs · 4 IPFIP 3.50 → 4.75 (+1.25)K% 23.8% → 16.2%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 23.81% | — | ×0.680 | 16.19% |
| BB% (unintentional) /BF | 19.05% | — | ×1.250 | 23.81% |
| 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 3.50 → 4.75, 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 ROKDSL Cubs Red · 31 IPFIP 2.83 → 4.02 (+1.18)K% 27.0% → 18.3%
| Component | Raw | Park ÷ | Level factor × | = MLE |
|---|---|---|---|---|
| K% /BF | 26.98% | — | ×0.680 | 18.35% |
| BB% (unintentional) /BF | 5.56% | — | ×1.250 | 6.94% |
| HR / BF /BF | 2.38% | ÷1.154 | ×1.400 | 2.89% |
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 131).
Result: FIP 2.83 → 4.02, 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 | 1.3 | 51 | 18.8% | 11.6% | 1.10 | 4.94 |
| Bill Wilson ('69-'73, -0 WAR*) | 1.3 | 52 | 20.3%* | 11.5%* | 1.13* | 4.84* |
| Tyler Yates ('09) | 1.2 | 62 | 19.7% | 12.0% | 0.94 | 5.12 |
| Jesus Colome ('10) | 2.1 | 53 | 17.3% | 11.7% | 1.03 | 4.69 |
| Valerio De Los Santos ('08) | 1.3 | 51 | 18.7% | 11.5% | 1.30 | 4.57 |
| Fred Lasher ('63-'71, -1 WAR*) | 1.0 | 50 | 21.5%* | 11.9%* | 1.05* | 4.68* |
| Gene Harris ('89-'95, -1 WAR*) | 1.2 | 40 | 20.0%* | 12.5%* | 0.98* | 4.96* |