Chad Castillo
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 22 | APHI | 97 | .233/.320/.430 | 3 | 0 | 53 | — | .178/.237/.311 |
| 2023 | 23 | APHI | 285 | .246/.335/.419 | 11 | 4 | 66 | — | .205/.281/.331 |
| 2024 | 24 | A+PHI | 30 | .154/.267/.192 | 0 | 0 | -17 | — | .111/.200/.148 |
Career Stats + Projections
Methodology▸ how these numbers are built
All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2022 | 22 | A | Clearwater Threshers | — | 97 | 86 | 20 | 8 | 0 | 3 | 10 | 27 | 1 | 0 | 0 | 233 | 320 | 430 | 750 | 198 | 304 | 28 | 10 | 334 | 53 | — | — | — | — | — | — |
| 2023 | 23 | A | Clearwater Threshers | — | 285 | 248 | 61 | 10 | 0 | 11 | 21 | 65 | 12 | 4 | 3 | 246 | 335 | 419 | 754 | 173 | 284 | 23 | 7 | 335 | 66 | — | — | — | — | — | — |
| 2024 | 24 | A+ | Jersey Shore BlueClaws | — | 30 | 26 | 4 | 1 | 0 | 0 | 3 | 14 | 1 | 0 | 0 | 154 | 267 | 192 | 459 | 38 | 333 | 47 | 10 | 228 | -17 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 22 | A MLE | Clearwater Threshers | — | 97 | 90 | 16 | 6 | 0 | 2 | 6 | 37 | 1 | 0 | 0 | 178 | 237 | 311 | 548 | 133 | 272 | 38 | 6 | 247 | 53 | — | — | — | — | — | — |
| 2023 | 23 | A MLE | Clearwater Threshers | — | 285 | 254 | 52 | 8 | 0 | 8 | 15 | 87 | 12 | 4 | 3 | 205 | 281 | 331 | 612 | 126 | 257 | 31 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2024 | 24 | A+ MLE | Jersey Shore BlueClaws | — | 30 | 27 | 3 | 1 | 0 | 0 | 2 | 18 | 1 | 0 | 0 | 111 | 200 | 148 | 348 | 37 | 272 | 60 | 7 | 143 | -17 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | Clearwater Threshers | — | 97 | 90 | 16 | 6 | 0 | 2 | 6 | 37 | 1 | 0 | 0 | 178 | 237 | 311 | 548 | 133 | 275 | 38 | 6 | 247 | 53 | — | — | — | — | — | — |
| 2022 | 22 | A RAW | Clearwater Threshers | — | 97 | 86 | 20 | 8 | 0 | 3 | 10 | 27 | 1 | 0 | 0 | 233 | 320 | 430 | 750 | 198 | 304 | 28 | 10 | 334 | 53 | — | — | — | — | — | — |
| 2023 | 23 | A MLE | Clearwater Threshers | — | 285 | 254 | 52 | 8 | 0 | 8 | 15 | 87 | 12 | 4 | 3 | 205 | 281 | 331 | 612 | 126 | 270 | 31 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2023 | 23 | A RAW | Clearwater Threshers | — | 285 | 248 | 61 | 10 | 0 | 11 | 21 | 65 | 12 | 4 | 3 | 246 | 335 | 419 | 754 | 173 | 284 | 23 | 7 | 335 | 66 | — | — | — | — | — | — |
| 2024 | 24 | A+ MLE | Jersey Shore BlueClaws | — | 30 | 27 | 3 | 1 | 0 | 0 | 2 | 18 | 1 | 0 | 0 | 111 | 200 | 148 | 348 | 37 | 333 | 60 | 7 | 143 | -17 | — | — | — | — | — | — |
| 2024 | 24 | A+ RAW | Jersey Shore BlueClaws | — | 30 | 26 | 4 | 1 | 0 | 0 | 3 | 14 | 1 | 0 | 0 | 154 | 267 | 192 | 459 | 38 | 333 | 47 | 10 | 228 | -17 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | Clearwater Threshers | — | 97 | 90 | 16 | 6 | 0 | 2 | 6 | 37 | 1 | 0 | 0 | 178 | 237 | 311 | 548 | 133 | 272 | 38 | 6 | 247 | 53 | — | — | — | — | — | — |
| 2023 | 23 | A MLE | Clearwater Threshers | — | 285 | 256 | 52 | 8 | 0 | 8 | 15 | 87 | 12 | 4 | 3 | 203 | 281 | 328 | 609 | 125 | 257 | 31 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2024 | 24 | A+ MLE | Jersey Shore BlueClaws | — | 30 | 27 | 3 | 1 | 0 | 0 | 2 | 18 | 1 | 0 | 0 | 111 | 200 | 148 | 348 | 37 | 272 | 60 | 7 | 143 | -17 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 24 | A+ MLE | Jersey Shore BlueClaws | — | 30 | 27 | 3 | 1 | 0 | 0 | 2 | 18 | 1 | 0 | 0 | 111 | 200 | 148 | 348 | 37 | 272 | 60 | 7 | 143 | -17 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 412 | 371 | 71 | 15 | 0 | 10 | 23 | 142 | 14 | 4 | 3 | 191 | 265 | 313 | 577 | 121 | 274 | 34 | 6 | 253 | 57 | -21 | -0 | +0 | -2 | +9 | -1.5 | |
| / 162G | — | MLE | — | 650 | 585 | 113 | 24 | 0 | 16 | 36 | 224 | 22 | 6 | 5 | 193 | 266 | 316 | 582 | 123 | 276 | 34 | 6 | 253 | 57 | -33 | -1 | +0 | -4 | +14 | -2.4 | |
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.
2024 A+Jersey Shore BlueClaws · 30 PAwOBA .223 → .143 (−79)K% 46.7% → 59.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 46.67% | ÷1.023 | ×1.310 | — | — | 59.76% |
| BB% (unintentional) /PA | 10.00% | ÷0.972 | ×0.600 | — | ×0.988 | 6.10% |
| HBP% /PA | 3.33% | — | ×0.770 | — | ×0.988 | 2.54% |
| Singles /BIP | 25.00% | ÷1.035 | ×0.870 | — | ×0.988 | 20.75% |
| Doubles /BIP | 8.33% | ÷1.000 | ×0.780 | — | ×0.988 | 6.42% |
| Triples /BIP | 0.00% | ÷0.946 | ×0.850 | — | ×0.988 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.926 | ×0.880 | — | ×0.988 | 0.00% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 85, 1B 107, 2B 100, 3B 89, K 105, BB 94 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).
Result: wOBA .223 → .143; ISO .038 → .023; BABIP .333 → .272. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2023 AClearwater Threshers · 285 PAwOBA .330 → .266 (−64)K% 22.8% → 30.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.81% | ÷1.020 | ×1.360 | — | — | 30.40% |
| BB% (unintentional) /PA | 7.37% | ÷0.972 | ×0.690 | — | ×0.990 | 5.18% |
| HBP% /PA | 4.21% | — | ×0.780 | — | ×0.990 | 3.25% |
| Singles /BIP | 21.86% | ÷0.965 | ×0.920 | ×0.996 | ×0.990 | 20.56% |
| Doubles /BIP | 5.46% | ÷1.002 | ×0.830 | ×0.996 | ×0.990 | 4.46% |
| Triples /BIP | 0.00% | ÷1.056 | ×0.910 | ×0.996 | ×0.990 | 0.00% |
| Home runs /BIP | 6.01% | ÷1.000 | ×0.800 | — | ×0.990 | 4.76% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 93, 2B 100, 3B 111, K 104, BB 94 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.
Result: wOBA .330 → .266; ISO .173 → .132; BABIP .284 → .257. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2022 AClearwater Threshers · 97 PAwOBA .321 → .247 (−74)K% 27.8% → 37.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.84% | ÷1.000 | ×1.360 | — | — | 37.86% |
| BB% (unintentional) /PA | 9.28% | ÷1.000 | ×0.690 | — | — | 6.40% |
| HBP% /PA | 1.03% | — | ×0.780 | — | — | 0.80% |
| Singles /BIP | 15.25% | ÷1.000 | ×0.920 | ×1.032 | — | 14.48% |
| Doubles /BIP | 13.56% | ÷1.000 | ×0.830 | ×1.032 | — | 11.61% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.910 | ×1.032 | — | 0.00% |
| Home runs /BIP | 5.08% | ÷1.000 | ×0.800 | — | — | 4.07% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.
Result: wOBA .321 → .247; ISO .198 → .148; BABIP .304 → .272. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).