Pablo Olivares
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2020 | 22 | INTLAguilas del Z… | 28 | .077/.143/.077 | 0 | 0 | -36 | — | |
| 2021 | 23 | A+NYY | 225 | .244/.345/.358 | 2 | 7 | 55 | — | .200/.283/.295 |
| 2022 | 24 | ROKNYY | 19 | .133/.316/.133 | 0 | 1 | 1 | — | .125/.263/.125 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK | DSL Yankees 1 | — | 154 | 131 | 35 | 4 | 4 | 0 | 11 | 17 | 11 | 7 | 4 | 267 | 373 | 359 | 731 | 92 | 304 | 11 | 7 | 336 | 45 | — | — | — | — | — | — |
| 2016 | 18 | ROK | GCL Yankees West | — | 186 | 158 | 45 | 13 | 2 | 0 | 15 | 25 | 10 | 7 | 2 | 285 | 383 | 392 | 775 | 108 | 333 | 13 | 8 | 349 | 65 | — | — | — | — | — | — |
| 2017 | 19 | A | Charleston RiverDogs | — | 134 | 119 | 19 | 3 | 0 | 1 | 9 | 40 | 3 | 4 | 1 | 160 | 237 | 210 | 447 | 50 | 225 | 30 | 7 | 209 | -6 | — | — | — | — | — | — |
| 2017 | 19 | ROK | Pulaski Yankees | — | 104 | 80 | 29 | 5 | 1 | 1 | 16 | 14 | 6 | 4 | 2 | 362 | 500 | 487 | 988 | 125 | 424 | 13 | 15 | 438 | 125 | — | — | — | — | — | — |
| 2018 | 20 | A+ | Tampa Tarpons | — | 50 | 41 | 10 | 0 | 0 | 2 | 4 | 11 | 1 | 0 | 0 | 244 | 326 | 390 | 716 | 146 | 286 | 22 | 8 | 299 | 59 | — | — | — | — | — | — |
| 2018 | 20 | A | Charleston RiverDogs | — | 226 | 201 | 68 | 11 | 0 | 4 | 16 | 35 | 7 | 10 | 4 | 338 | 406 | 453 | 859 | 114 | 393 | 15 | 7 | 384 | 107 | — | — | — | — | — | — |
| 2019 | 21 | A+ | Tampa Tarpons | — | 464 | 396 | 99 | 15 | 2 | 1 | 47 | 66 | 20 | 20 | 13 | 250 | 359 | 306 | 664 | 56 | 297 | 14 | 10 | 313 | 57 | — | — | — | — | — | — |
| 2020 | 22 | INTL | Aguilas del Zulia | — | 28 | 26 | 2 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 0 | 77 | 143 | 77 | 220 | 143 | 43 | 7 | 114 | -36 | — | — | — | — | — | — | |
| 2021 | 23 | A+ | Hudson Valley Renegades | — | 225 | 193 | 47 | 16 | 0 | 2 | 25 | 42 | 5 | 7 | 3 | 244 | 345 | 358 | 703 | 114 | 298 | 19 | 11 | 320 | 55 | — | — | — | — | — | — |
| 2022 | 24 | ROK | FCL Yankees | — | 19 | 15 | 2 | 0 | 0 | 0 | 3 | 1 | 1 | 1 | 2 | 133 | 316 | 133 | 449 | 143 | 5 | 16 | 244 | 1 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK MLE | DSL Yankees 1 | — | 154 | 134 | 26 | 3 | 3 | 0 | 8 | 21 | 11 | 7 | 4 | 194 | 294 | 261 | 555 | 67 | 212 | 14 | 5 | 235 | 45 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | GCL Yankees West | — | 186 | 164 | 36 | 10 | 1 | 0 | 9 | 36 | 10 | 7 | 2 | 220 | 301 | 293 | 593 | 73 | 271 | 19 | 5 | 265 | 65 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | Charleston RiverDogs | — | 134 | 122 | 16 | 2 | 0 | 1 | 6 | 56 | 3 | 4 | 1 | 131 | 191 | 172 | 363 | 41 | 207 | 42 | 4 | 160 | -6 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | Pulaski Yankees | — | 104 | 86 | 26 | 4 | 1 | 1 | 10 | 20 | 6 | 4 | 2 | 302 | 412 | 407 | 819 | 105 | 363 | 19 | 10 | 353 | 125 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | Tampa Tarpons | — | 50 | 42 | 10 | 0 | 0 | 2 | 3 | 16 | 1 | 0 | 0 | 238 | 304 | 381 | 685 | 143 | 269 | 32 | 6 | 255 | 59 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | Charleston RiverDogs | — | 226 | 207 | 61 | 9 | 0 | 4 | 10 | 47 | 7 | 10 | 4 | 295 | 348 | 396 | 744 | 101 | 361 | 21 | 4 | 326 | 107 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Tampa Tarpons | — | 464 | 409 | 82 | 14 | 2 | 1 | 34 | 95 | 20 | 20 | 13 | 200 | 294 | 252 | 546 | 51 | 255 | 20 | 7 | 252 | 57 | — | — | — | — | — | — |
| 2021 | 23 | A+ MLE | Hudson Valley Renegades | — | 225 | 200 | 40 | 13 | 0 | 2 | 18 | 57 | 5 | 7 | 3 | 200 | 283 | 295 | 578 | 95 | 255 | 25 | 8 | 250 | 55 | — | — | — | — | — | — |
| 2022 | 24 | ROK MLE | FCL Yankees | — | 19 | 16 | 2 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 2 | 125 | 263 | 125 | 388 | 114 | 5 | 11 | 169 | 1 | — | — | — | — | — | — | |
| 2015 | 17 | ROK MLE | DSL Yankees 1 | — | 154 | 134 | 26 | 3 | 3 | 0 | 8 | 21 | 11 | 7 | 4 | 194 | 294 | 261 | 555 | 67 | 228 | 14 | 5 | 235 | 45 | — | — | — | — | — | — |
| 2015 | 17 | ROK RAW | DSL Yankees 1 | — | 154 | 131 | 35 | 4 | 4 | 0 | 11 | 17 | 11 | 7 | 4 | 267 | 373 | 359 | 731 | 92 | 304 | 11 | 7 | 336 | 45 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | GCL Yankees West | — | 186 | 164 | 36 | 10 | 1 | 0 | 9 | 36 | 10 | 7 | 2 | 220 | 301 | 293 | 593 | 73 | 277 | 19 | 5 | 265 | 65 | — | — | — | — | — | — |
| 2016 | 18 | ROK RAW | GCL Yankees West | — | 186 | 158 | 45 | 13 | 2 | 0 | 15 | 25 | 10 | 7 | 2 | 285 | 383 | 392 | 775 | 108 | 333 | 13 | 8 | 349 | 65 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | 2 teams | — | 238 | 208 | 42 | 6 | 1 | 2 | 16 | 76 | 9 | 8 | 3 | 202 | 288 | 269 | 557 | 67 | 301 | 32 | 7 | 244 | 52 | — | — | — | — | — | — |
| 2017 | 19 | A RAW | 2 teams | — | 238 | 199 | 48 | 8 | 1 | 2 | 25 | 54 | 9 | 8 | 3 | 241 | 352 | 322 | 674 | 80 | 315 | 23 | 11 | 309 | 52 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | 2 teams | — | 276 | 249 | 71 | 9 | 0 | 6 | 13 | 63 | 8 | 10 | 4 | 285 | 341 | 394 | 734 | 108 | 359 | 23 | 5 | 313 | 98 | — | — | — | — | — | — |
| 2018 | 20 | A RAW | 2 teams | — | 276 | 242 | 78 | 11 | 0 | 6 | 20 | 46 | 8 | 10 | 4 | 322 | 393 | 442 | 835 | 120 | 377 | 17 | 7 | 368 | 98 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Tampa Tarpons | — | 464 | 409 | 82 | 14 | 2 | 1 | 34 | 95 | 20 | 20 | 13 | 200 | 294 | 252 | 546 | 51 | 258 | 20 | 7 | 252 | 57 | — | — | — | — | — | — |
| 2019 | 21 | A+ RAW | Tampa Tarpons | — | 464 | 396 | 99 | 15 | 2 | 1 | 47 | 66 | 20 | 20 | 13 | 250 | 359 | 306 | 664 | 56 | 297 | 14 | 10 | 313 | 57 | — | — | — | — | — | — |
| 2020 | 22 | INTL MLE | Aguilas del Zulia | — | 28 | 26 | 2 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 0 | 77 | 143 | 77 | 220 | 143 | 43 | 7 | — | — | — | — | — | — | — | — | |
| 2020 | 22 | INTL RAW | Aguilas del Zulia | — | 28 | 26 | 2 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 0 | 77 | 143 | 77 | 220 | 143 | 43 | 7 | 114 | -36 | — | — | — | — | — | — | |
| 2021 | 23 | A+ MLE | Hudson Valley Renegades | — | 225 | 200 | 40 | 13 | 0 | 2 | 18 | 57 | 5 | 7 | 3 | 200 | 283 | 295 | 578 | 95 | 266 | 25 | 8 | 250 | 55 | — | — | — | — | — | — |
| 2021 | 23 | A+ RAW | Hudson Valley Renegades | — | 225 | 193 | 47 | 16 | 0 | 2 | 25 | 42 | 5 | 7 | 3 | 244 | 345 | 358 | 703 | 114 | 298 | 19 | 11 | 320 | 55 | — | — | — | — | — | — |
| 2022 | 24 | ROK MLE | FCL Yankees | — | 19 | 16 | 2 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 2 | 125 | 263 | 125 | 388 | 133 | 5 | 11 | 169 | 1 | — | — | — | — | — | — | |
| 2022 | 24 | ROK RAW | FCL Yankees | — | 19 | 15 | 2 | 0 | 0 | 0 | 3 | 1 | 1 | 1 | 2 | 133 | 316 | 133 | 449 | 143 | 5 | 16 | 244 | 1 | — | — | — | — | — | — | |
| 2015 | 17 | ROK MLE | DSL Yankees 1 | — | 154 | 134 | 26 | 3 | 3 | 0 | 8 | 21 | 11 | 7 | 4 | 194 | 294 | 261 | 555 | 67 | 212 | 14 | 5 | 235 | 45 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | GCL Yankees West | — | 186 | 165 | 36 | 10 | 1 | 0 | 9 | 36 | 10 | 7 | 2 | 218 | 301 | 291 | 591 | 73 | 271 | 19 | 5 | 265 | 65 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | 2 teams | — | 238 | 211 | 42 | 6 | 1 | 2 | 16 | 76 | 9 | 8 | 3 | 199 | 288 | 265 | 553 | 66 | 275 | 32 | 7 | 244 | 52 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | 2 teams | — | 276 | 253 | 71 | 9 | 0 | 6 | 13 | 63 | 8 | 10 | 4 | 281 | 341 | 387 | 728 | 107 | 344 | 23 | 5 | 313 | 98 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Tampa Tarpons | — | 464 | 407 | 82 | 14 | 2 | 1 | 34 | 95 | 20 | 20 | 13 | 201 | 294 | 253 | 547 | 52 | 255 | 20 | 7 | 252 | 57 | — | — | — | — | — | — |
| 2021 | 23 | A+ MLE | Hudson Valley Renegades | — | 225 | 200 | 40 | 13 | 0 | 2 | 18 | 57 | 5 | 7 | 3 | 200 | 283 | 295 | 578 | 95 | 255 | 25 | 8 | 250 | 55 | — | — | — | — | — | — |
| 2022 | 24 | ROK MLE | FCL Yankees | — | 19 | 16 | 2 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 2 | 125 | 263 | 125 | 388 | 114 | 5 | 11 | 169 | 1 | — | — | — | — | — | — | |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1590 | 1406 | 301 | 55 | 7 | 11 | 102 | 361 | 64 | 60 | 31 | 214 | 297 | 287 | 584 | 73 | 278 | 23 | 6 | 256 | 59 | -77 | -0 | +0 | +6 | +34 | -3.8 | |
| / 162G | — | MLE | — | 650 | 575 | 122 | 22 | 3 | 4 | 42 | 148 | 26 | 25 | 13 | 212 | 295 | 282 | 577 | 70 | 276 | 23 | 6 | 256 | 59 | -32 | -0 | +0 | +2 | +14 | -1.6 | |
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.
2022 ROKFCL Yankees · 19 PAwOBA .240 → .169 (−71)K% 5.3% → 7.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 5.26% | ÷0.990 | ×1.440 | — | — | 7.65% |
| BB% (unintentional) /PA | 15.79% | ÷1.026 | ×0.620 | — | ×0.955 | 9.11% |
| HBP% /PA | 5.26% | — | ×0.720 | — | ×0.955 | 3.62% |
| Singles /BIP | 14.29% | ÷0.983 | ×0.820 | — | ×0.955 | 11.38% |
| Doubles /BIP | 0.00% | ÷0.974 | ×0.720 | — | ×0.955 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | — | ×0.955 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.066 | ×0.780 | — | ×0.955 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 95, 3B 130, K 98, BB 105 — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).
Result: wOBA .240 → .169; ISO .000 → .000; BABIP .143 → .114. 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).
2021 A+Hudson Valley Renegades · 225 PAwOBA .315 → .250 (−65)K% 18.7% → 25.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.67% | ÷1.000 | ×1.350 | — | — | 25.20% |
| BB% (unintentional) /PA | 11.11% | ÷1.000 | ×0.710 | — | ×0.998 | 7.87% |
| HBP% /PA | 2.22% | — | ×0.810 | — | ×0.998 | 1.80% |
| Singles /BIP | 19.21% | ÷1.000 | ×0.910 | ×0.974 | ×0.998 | 16.98% |
| Doubles /BIP | 10.60% | ÷1.000 | ×0.830 | ×0.974 | ×0.998 | 8.55% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.820 | ×0.974 | ×0.998 | 0.00% |
| Home runs /BIP | 1.32% | ÷1.000 | ×0.830 | — | ×0.998 | 1.10% |
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 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.
Result: wOBA .315 → .250; ISO .114 → .090; BABIP .298 → .255. 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).
2019 A+Tampa Tarpons · 464 PAwOBA .307 → .252 (−55)K% 14.2% → 20.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.22% | ÷0.989 | ×1.420 | — | — | 20.42% |
| BB% (unintentional) /PA | 10.13% | ÷1.055 | ×0.750 | — | ×1.027 | 7.39% |
| HBP% /PA | 4.31% | — | ×0.930 | — | ×1.027 | 4.12% |
| Singles /BIP | 24.55% | ÷1.072 | ×0.920 | ×0.950 | ×1.027 | 20.55% |
| Doubles /BIP | 4.55% | ÷0.954 | ×0.960 | ×0.950 | ×1.027 | 4.46% |
| Triples /BIP | 0.61% | ÷0.900 | ×0.810 | ×0.950 | ×1.027 | 0.53% |
| Home runs /BIP | 0.30% | ÷0.960 | ×0.880 | — | ×1.027 | 0.29% |
Factors used: league row FSL. Park (home-season share, regressed): HR 92, 1B 114, 2B 91, 3B 80, K 98, BB 111 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .307 → .252; ISO .056 → .051; BABIP .297 → .255. 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).
2018 ACharleston RiverDogs · 226 PAwOBA .375 → .326 (−49)K% 15.5% → 20.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.49% | ÷0.991 | ×1.340 | — | — | 20.94% |
| BB% (unintentional) /PA | 7.08% | ÷1.092 | ×0.660 | — | ×1.030 | 4.41% |
| HBP% /PA | 3.10% | — | ×0.770 | — | ×1.030 | 2.46% |
| Singles /BIP | 31.93% | ÷1.020 | ×0.920 | ×0.997 | ×1.030 | 29.56% |
| Doubles /BIP | 6.63% | ÷0.961 | ×0.820 | ×0.997 | ×1.030 | 5.81% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.940 | ×0.997 | ×1.030 | 0.00% |
| Home runs /BIP | 2.41% | ÷0.811 | ×0.820 | — | ×1.030 | 2.51% |
Factors used: league row SAL. Park (home-season share, regressed): HR 62, 1B 104, 2B 92, 3B 130, K 98, BB 118 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.
Result: wOBA .375 → .326; ISO .114 → .108; BABIP .393 → .361. 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).
2018 A+Tampa Tarpons · 50 PAwOBA .291 → .255 (−36)K% 22.0% → 31.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.00% | ÷1.004 | ×1.420 | — | — | 31.11% |
| BB% (unintentional) /PA | 8.00% | ÷1.015 | ×0.750 | — | ×1.042 | 6.16% |
| HBP% /PA | 2.00% | — | ×0.930 | — | ×1.042 | 1.94% |
| Singles /BIP | 26.67% | ÷1.003 | ×0.920 | — | ×1.042 | 25.50% |
| Doubles /BIP | 0.00% | ÷0.891 | ×0.960 | — | ×1.042 | 0.00% |
| Triples /BIP | 0.00% | ÷0.983 | ×0.810 | — | ×1.042 | 0.00% |
| Home runs /BIP | 6.67% | ÷1.205 | ×0.880 | — | ×1.042 | 5.07% |
Factors used: league row FSL. Park (home-season share, regressed): HR 141, 1B 101, 2B 78, 3B 97, K 101, BB 103 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average).
Result: wOBA .291 → .255; ISO .146 → .113; BABIP .286 → .269. 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 ACharleston RiverDogs · 134 PAwOBA .207 → .160 (−47)K% 29.9% → 41.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.85% | ÷0.958 | ×1.340 | — | — | 41.73% |
| BB% (unintentional) /PA | 6.72% | ÷1.051 | ×0.660 | — | ×1.045 | 4.41% |
| HBP% /PA | 2.24% | — | ×0.770 | — | ×1.045 | 1.80% |
| Singles /BIP | 18.99% | ÷0.978 | ×0.920 | ×0.961 | ×1.045 | 17.93% |
| Doubles /BIP | 3.80% | ÷1.010 | ×0.820 | ×0.961 | ×1.045 | 3.10% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | ×0.961 | ×1.045 | 0.00% |
| Home runs /BIP | 1.27% | ÷0.945 | ×0.820 | — | ×1.045 | 1.15% |
Factors used: league row SAL. Park (home-season share, regressed): HR 89, 1B 96, 2B 102, 3B 80, K 92, BB 110 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.
Result: wOBA .207 → .160; ISO .050 → .038; BABIP .225 → .207. 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 ROKPulaski Yankees · 104 PAwOBA .432 → .353 (−80)K% 13.5% → 19.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.46% | ÷1.000 | ×1.420 | — | — | 19.12% |
| BB% (unintentional) /PA | 15.38% | ÷1.000 | ×0.640 | — | ×1.008 | 9.92% |
| HBP% /PA | 5.77% | — | ×0.740 | — | ×1.008 | 4.30% |
| Singles /BIP | 33.33% | ÷1.000 | ×0.840 | ×1.041 | ×1.008 | 29.37% |
| Doubles /BIP | 7.58% | ÷1.000 | ×0.740 | ×1.041 | ×1.008 | 5.88% |
| Triples /BIP | 1.52% | ÷1.000 | ×0.740 | ×1.041 | ×1.008 | 1.18% |
| Home runs /BIP | 1.52% | ÷1.000 | ×0.800 | — | ×1.008 | 1.22% |
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 ×1.041.
Result: wOBA .432 → .353; ISO .125 → .103; BABIP .424 → .363. 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 Yankees West · 186 PAwOBA .344 → .265 (−79)K% 13.4% → 19.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.44% | ÷1.000 | ×1.440 | — | — | 19.35% |
| BB% (unintentional) /PA | 8.06% | ÷1.000 | ×0.620 | — | ×1.022 | 5.11% |
| HBP% /PA | 5.38% | — | ×0.720 | — | ×1.022 | 3.96% |
| Singles /BIP | 22.56% | ÷1.000 | ×0.820 | ×1.012 | ×1.022 | 19.14% |
| Doubles /BIP | 9.77% | ÷1.000 | ×0.720 | ×1.012 | ×1.022 | 7.28% |
| Triples /BIP | 1.50% | ÷1.000 | ×0.720 | ×1.012 | ×1.022 | 1.12% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.022 | 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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.
Result: wOBA .344 → .265; ISO .108 → .080; BABIP .333 → .271. 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 — .