Jesus Alastre
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 19 | ROK/INTL2 orgs | 56 | .245/.286/.321 | 1 | 4 | 52 | — | .263/.300/.316 |
| 2017 | 20 | A/INTL2 orgs | 168 | .292/.335/.383 | 1 | 4 | 64 | — | .259/.295/.353 |
| 2018 | 21 | ALakewood Blue… | 59 | .231/.310/.250 | 0 | 2 | 41 | — | .226/.293/.245 |
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) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK | VSL Phillies | — | 252 | 210 | 66 | 8 | 2 | 0 | 13 | 34 | 22 | 13 | 12 | 314 | 412 | 371 | 784 | 57 | 371 | 13 | 5 | 355 | 59 | — | — | — | — | — | — |
| 2015 | 18 | ROK | GCL Phillies | — | 93 | 82 | 22 | 3 | 1 | 0 | 4 | 10 | 3 | 3 | 2 | 268 | 326 | 329 | 655 | 61 | 306 | 11 | 4 | 288 | 42 | — | — | — | — | — | — |
| 2016 | 19 | ROK | GCL Phillies | — | 20 | 19 | 6 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 316 | 350 | 368 | 718 | 53 | 353 | 10 | 5 | 325 | 48 | — | — | — | — | — | — |
| 2016 | 19 | INTL | Tigres de Aragua | — | 36 | 34 | 7 | 0 | 0 | 1 | 1 | 8 | 1 | 4 | 0 | 206 | 250 | 294 | 544 | 88 | 240 | 22 | 3 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 20 | A | Lakewood BlueClaws | — | 148 | 137 | 42 | 9 | 1 | 1 | 5 | 31 | 4 | 4 | 2 | 307 | 349 | 409 | 758 | 102 | 390 | 21 | 3 | 336 | 72 | — | — | — | — | — | — |
| 2017 | 20 | INTL | Tigres de Aragua | — | 20 | 17 | 3 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 176 | 222 | 176 | 399 | 231 | 20 | 5 | 171 | 2 | — | — | — | — | — | — | |
| 2018 | 21 | A | Lakewood BlueClaws | — | 59 | 52 | 12 | 1 | 0 | 0 | 4 | 10 | 2 | 2 | 1 | 231 | 310 | 250 | 560 | 19 | 286 | 17 | 7 | 263 | 41 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK MLE | VSL Phillies | — | 252 | 214 | 49 | 5 | 1 | 0 | 9 | 42 | 22 | 13 | 12 | 229 | 327 | 262 | 588 | 33 | 262 | 17 | 4 | 255 | 59 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | GCL Phillies | — | 93 | 83 | 19 | 2 | 1 | 0 | 3 | 14 | 3 | 3 | 2 | 229 | 281 | 277 | 558 | 48 | 257 | 15 | 3 | 230 | 42 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Phillies | — | 20 | 19 | 5 | 1 | 0 | 0 | 1 | 3 | 0 | 0 | 1 | 263 | 300 | 316 | 616 | 53 | 282 | 15 | 5 | 239 | 48 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | Lakewood BlueClaws | — | 148 | 139 | 36 | 8 | 1 | 1 | 3 | 42 | 4 | 4 | 2 | 259 | 295 | 353 | 647 | 94 | 353 | 28 | 2 | 274 | 72 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Lakewood BlueClaws | — | 59 | 53 | 12 | 1 | 0 | 0 | 3 | 14 | 2 | 2 | 1 | 226 | 293 | 245 | 538 | 19 | 284 | 24 | 5 | 229 | 41 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | VSL Phillies | — | 252 | 214 | 49 | 5 | 1 | 0 | 9 | 42 | 22 | 13 | 12 | 229 | 327 | 262 | 588 | 33 | 282 | 17 | 4 | 255 | 59 | — | — | — | — | — | — |
| 2014 | 17 | ROK RAW | VSL Phillies | — | 252 | 210 | 66 | 8 | 2 | 0 | 13 | 34 | 22 | 13 | 12 | 314 | 412 | 371 | 784 | 57 | 371 | 13 | 5 | 355 | 59 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | GCL Phillies | — | 93 | 83 | 19 | 2 | 1 | 0 | 3 | 14 | 3 | 3 | 2 | 229 | 281 | 277 | 558 | 48 | 275 | 15 | 3 | 230 | 42 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | GCL Phillies | — | 93 | 82 | 22 | 3 | 1 | 0 | 4 | 10 | 3 | 3 | 2 | 268 | 326 | 329 | 655 | 61 | 306 | 11 | 4 | 288 | 42 | — | — | — | — | — | — |
| 2016 | 19 | INTL MLE | 2 teams | — | 56 | 53 | 13 | 2 | 0 | 0 | 2 | 8 | 1 | 4 | 1 | 245 | 286 | 283 | 569 | 38 | 289 | 14 | 4 | 239 | 48 | — | — | — | — | — | — |
| 2016 | 19 | INTL RAW | 2 teams | — | 56 | 53 | 13 | 1 | 0 | 1 | 2 | 10 | 1 | 4 | 1 | 245 | 286 | 321 | 606 | 75 | 286 | 18 | 4 | 276 | 48 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | 2 teams | — | 168 | 156 | 41 | 9 | 1 | 1 | 4 | 47 | 4 | 4 | 2 | 263 | 299 | 353 | 651 | 90 | 370 | 28 | 2 | 274 | 72 | — | — | — | — | — | — |
| 2017 | 20 | A RAW | 2 teams | — | 168 | 154 | 45 | 9 | 1 | 1 | 6 | 35 | 4 | 4 | 2 | 292 | 335 | 383 | 718 | 91 | 373 | 21 | 4 | 316 | 72 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Lakewood BlueClaws | — | 59 | 53 | 12 | 1 | 0 | 0 | 3 | 14 | 2 | 2 | 1 | 226 | 293 | 245 | 538 | 19 | 308 | 24 | 5 | 229 | 41 | — | — | — | — | — | — |
| 2018 | 21 | A RAW | Lakewood BlueClaws | — | 59 | 52 | 12 | 1 | 0 | 0 | 4 | 10 | 2 | 2 | 1 | 231 | 310 | 250 | 560 | 19 | 286 | 17 | 7 | 263 | 41 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | VSL Phillies | — | 252 | 219 | 49 | 5 | 1 | 0 | 9 | 42 | 22 | 13 | 12 | 224 | 327 | 256 | 582 | 32 | 262 | 17 | 4 | 255 | 59 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | GCL Phillies | — | 93 | 87 | 19 | 2 | 1 | 0 | 3 | 14 | 3 | 3 | 2 | 218 | 281 | 264 | 545 | 46 | 257 | 15 | 3 | 230 | 42 | — | — | — | — | — | — |
| 2016 | 19 | INTL MLE | 2 teams | — | 56 | 53 | 13 | 2 | 0 | 0 | 2 | 8 | 1 | 4 | 1 | 245 | 286 | 283 | 569 | 38 | 282 | 14 | 4 | 239 | 48 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | 2 teams | — | 168 | 158 | 41 | 9 | 1 | 1 | 4 | 47 | 4 | 4 | 2 | 259 | 299 | 348 | 647 | 89 | 353 | 28 | 2 | 274 | 72 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Lakewood BlueClaws | — | 59 | 54 | 12 | 1 | 0 | 0 | 3 | 14 | 2 | 2 | 1 | 222 | 293 | 241 | 534 | 19 | 284 | 24 | 5 | 229 | 41 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 628 | 559 | 134 | 19 | 3 | 1 | 21 | 125 | 32 | 26 | 18 | 240 | 306 | 290 | 595 | 50 | 306 | 20 | 3 | 253 | 57 | -32 | -2 | +0 | +2 | +14 | -1.9 | |
| / 162G | — | MLE | — | 650 | 579 | 139 | 20 | 3 | 1 | 22 | 129 | 33 | 27 | 19 | 240 | 306 | 290 | 596 | 50 | 306 | 20 | 3 | 253 | 57 | -33 | -2 | +0 | +2 | +14 | -1.9 | |
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.
2018 ALakewood BlueClaws · 59 PAwOBA .256 → .229 (−27)K% 16.9% → 23.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.95% | ÷0.976 | ×1.340 | — | — | 23.28% |
| BB% (unintentional) /PA | 6.78% | ÷0.987 | ×0.660 | — | — | 4.53% |
| HBP% /PA | 3.39% | — | ×0.770 | — | — | 2.61% |
| Singles /BIP | 26.19% | ÷0.960 | ×0.920 | ×1.050 | — | 26.35% |
| Doubles /BIP | 2.38% | ÷0.992 | ×0.820 | ×1.050 | — | 2.07% |
| Triples /BIP | 0.00% | ÷1.086 | ×0.940 | ×1.050 | — | 0.00% |
| Home runs /BIP | 0.00% | ÷0.966 | ×0.820 | — | — | 0.00% |
Factors used: league row SAL. Park (home-season share, regressed): HR 93, 1B 92, 2B 98, 3B 117, K 95, BB 97 — 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 ×1.050.
Result: wOBA .256 → .229; ISO .019 → .016; BABIP .286 → .284. 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).
2017 ALakewood BlueClaws · 148 PAwOBA .327 → .274 (−53)K% 20.9% → 28.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.95% | ÷0.994 | ×1.340 | — | — | 28.23% |
| BB% (unintentional) /PA | 3.38% | ÷0.980 | ×0.660 | — | ×1.015 | 2.31% |
| HBP% /PA | 2.70% | — | ×0.770 | — | ×1.015 | 2.11% |
| Singles /BIP | 29.25% | ÷1.030 | ×0.920 | ×0.999 | ×1.015 | 26.50% |
| Doubles /BIP | 8.49% | ÷0.927 | ×0.820 | ×0.999 | ×1.015 | 7.62% |
| Triples /BIP | 0.94% | ÷1.021 | ×0.940 | ×0.999 | ×1.015 | 0.88% |
| Home runs /BIP | 0.94% | ÷0.854 | ×0.820 | — | ×1.015 | 0.92% |
Factors used: league row SAL. Park (home-season share, regressed): HR 71, 1B 106, 2B 85, 3B 104, K 99, BB 96 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.
Result: wOBA .327 → .274; ISO .102 → .088; BABIP .390 → .353. 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).
2016 ROKGCL Phillies · 20 PAwOBA .317 → .239 (−78)K% 10.0% → 14.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.00% | ÷1.000 | ×1.440 | — | — | 14.40% |
| BB% (unintentional) /PA | 5.00% | ÷1.000 | ×0.620 | — | ×0.995 | 3.08% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 29.41% | ÷1.000 | ×0.820 | — | ×0.995 | 24.00% |
| Doubles /BIP | 5.88% | ÷1.000 | ×0.720 | — | ×0.995 | 4.21% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.995 | 0.00% |
Factors used: level-wide ROK 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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).
Result: wOBA .317 → .239; ISO .053 → .037; BABIP .353 → .282. 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).
2015 ROKGCL Phillies · 93 PAwOBA .280 → .230 (−51)K% 10.8% → 15.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.75% | ÷1.000 | ×1.440 | — | — | 15.48% |
| BB% (unintentional) /PA | 4.30% | ÷1.000 | ×0.620 | — | ×1.008 | 2.69% |
| HBP% /PA | 3.23% | — | ×0.720 | — | ×1.008 | 2.34% |
| Singles /BIP | 25.00% | ÷1.000 | ×0.820 | ×1.039 | ×1.008 | 21.46% |
| Doubles /BIP | 4.17% | ÷1.000 | ×0.720 | ×1.039 | ×1.008 | 3.14% |
| Triples /BIP | 1.39% | ÷1.000 | ×0.720 | ×1.039 | ×1.008 | 1.05% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.008 | 0.00% |
Factors used: level-wide ROK 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.
Result: wOBA .280 → .230; ISO .061 → .047; BABIP .306 → .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).
2014 DSLVSL Phillies · 252 PAwOBA .349 → .255 (−94)K% 13.5% → 16.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.49% | ÷1.000 | ×1.220 | — | — | 16.46% |
| BB% (unintentional) /PA | 5.16% | ÷1.000 | ×0.700 | — | ×1.008 | 3.64% |
| HBP% /PA | 8.73% | — | ×0.700 | — | ×1.008 | 6.16% |
| Singles /BIP | 31.82% | ÷1.000 | ×0.680 | ×1.050 | ×1.008 | 22.89% |
| Doubles /BIP | 4.55% | ÷1.000 | ×0.600 | ×1.050 | ×1.008 | 2.89% |
| Triples /BIP | 1.14% | ÷1.000 | ×0.600 | ×1.050 | ×1.008 | 0.72% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×1.008 | 0.00% |
Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .349 → .255; ISO .057 → .038; BABIP .371 → .262. 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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .