Ismael Alcantara
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2021 | 22 | ALAA | 230 | .307/.377/.590 | 12 | 7 | 103 | — | .246/.303/.455 |
| 2022 | 23 | AA/A+LAD | 404 | .192/.273/.310 | 8 | 13 | 29 | — | .163/.230/.252 |
| 2023 | 24 | AA/A+LAD | 387 | .247/.324/.337 | 6 | 22 | 57 | — | .220/.279/.288 |
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) | |||||||||||||||||||||||||||||||
| 2017 | 18 | ROK | DSL Dodgers 2 | — | 262 | 221 | 59 | 6 | 6 | 1 | 31 | 55 | 7 | 18 | 8 | 267 | 375 | 362 | 737 | 95 | 347 | 21 | 12 | 335 | 37 | — | — | — | — | — | — |
| 2018 | 19 | ROK | AZL Dodgers | — | 119 | 101 | 17 | 4 | 1 | 3 | 13 | 33 | 3 | 5 | 2 | 168 | 282 | 317 | 599 | 149 | 215 | 28 | 11 | 272 | 10 | — | — | — | — | — | — |
| 2019 | 20 | ROK | AZL Dodgers Mota | — | 188 | 156 | 47 | 7 | 3 | 1 | 27 | 46 | 2 | 20 | 0 | 301 | 411 | 404 | 815 | 103 | 414 | 24 | 14 | 366 | 51 | — | — | — | — | — | — |
| 2021 | 22 | A | Rancho Cucamonga Quakes | — | 230 | 205 | 63 | 8 | 7 | 12 | 20 | 66 | 3 | 7 | 3 | 307 | 377 | 590 | 967 | 283 | 402 | 29 | 9 | 414 | 103 | — | — | — | — | — | — |
| 2022 | 23 | AA | Tulsa Drillers | — | 43 | 34 | 8 | 0 | 1 | 3 | 7 | 11 | 2 | 2 | 1 | 235 | 395 | 559 | 954 | 324 | 250 | 26 | 16 | 415 | 109 | — | — | — | — | — | — |
| 2022 | 23 | A+ | Great Lakes Loons | — | 361 | 321 | 60 | 10 | 3 | 5 | 21 | 96 | 10 | 11 | 6 | 187 | 259 | 283 | 542 | 97 | 247 | 27 | 6 | 244 | 19 | — | — | — | — | — | — |
| 2023 | 24 | AA | Tulsa Drillers | — | 230 | 207 | 57 | 5 | 1 | 3 | 17 | 61 | 3 | 9 | 8 | 275 | 339 | 353 | 692 | 77 | 375 | 27 | 7 | 312 | 70 | — | — | — | — | — | — |
| 2023 | 24 | A+ | Great Lakes Loons | — | 157 | 137 | 28 | 4 | 1 | 3 | 16 | 45 | 3 | 13 | 1 | 204 | 301 | 314 | 615 | 109 | 278 | 29 | 10 | 283 | 37 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 18 | ROK MLE | DSL Dodgers 2 | — | 262 | 231 | 40 | 4 | 4 | 0 | 21 | 67 | 7 | 18 | 8 | 173 | 263 | 225 | 488 | 52 | 232 | 26 | 8 | 223 | 37 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | AZL Dodgers | — | 119 | 106 | 13 | 3 | 1 | 2 | 8 | 47 | 3 | 5 | 2 | 123 | 205 | 226 | 432 | 104 | 174 | 39 | 7 | 183 | 10 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | AZL Dodgers Mota | — | 188 | 167 | 33 | 4 | 2 | 1 | 16 | 66 | 2 | 20 | 0 | 198 | 276 | 263 | 539 | 66 | 309 | 35 | 9 | 244 | 51 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | Rancho Cucamonga Quakes | — | 230 | 211 | 52 | 5 | 6 | 9 | 14 | 88 | 3 | 7 | 3 | 246 | 303 | 455 | 758 | 209 | 375 | 38 | 6 | 321 | 103 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | Tulsa Drillers | — | 43 | 36 | 7 | 0 | 1 | 2 | 5 | 14 | 2 | 2 | 1 | 194 | 326 | 417 | 742 | 222 | 230 | 33 | 12 | 329 | 109 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | Great Lakes Loons | — | 361 | 327 | 52 | 8 | 2 | 4 | 15 | 118 | 10 | 11 | 6 | 159 | 219 | 232 | 451 | 73 | 220 | 33 | 4 | 197 | 19 | — | — | — | — | — | — |
| 2023 | 24 | AA MLE | Tulsa Drillers | — | 230 | 212 | 54 | 5 | 1 | 2 | 12 | 73 | 3 | 9 | 8 | 255 | 304 | 316 | 620 | 61 | 362 | 32 | 5 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 24 | A+ MLE | Great Lakes Loons | — | 157 | 142 | 24 | 3 | 1 | 2 | 11 | 57 | 3 | 13 | 1 | 169 | 244 | 246 | 490 | 77 | 255 | 36 | 7 | 223 | 37 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | DSL Dodgers 2 | — | 262 | 231 | 40 | 4 | 4 | 0 | 21 | 67 | 7 | 18 | 8 | 173 | 263 | 225 | 488 | 52 | 241 | 26 | 8 | 223 | 37 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | DSL Dodgers 2 | — | 262 | 221 | 59 | 6 | 6 | 1 | 31 | 55 | 7 | 18 | 8 | 267 | 375 | 362 | 737 | 95 | 347 | 21 | 12 | 335 | 37 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | AZL Dodgers | — | 119 | 106 | 13 | 3 | 1 | 2 | 8 | 47 | 3 | 5 | 2 | 123 | 205 | 226 | 432 | 104 | 193 | 39 | 7 | 183 | 10 | — | — | — | — | — | — |
| 2018 | 19 | ROK RAW | AZL Dodgers | — | 119 | 101 | 17 | 4 | 1 | 3 | 13 | 33 | 3 | 5 | 2 | 168 | 282 | 317 | 599 | 149 | 215 | 28 | 11 | 272 | 10 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | AZL Dodgers Mota | — | 188 | 167 | 33 | 4 | 2 | 1 | 16 | 66 | 2 | 20 | 0 | 198 | 276 | 263 | 539 | 66 | 314 | 35 | 9 | 244 | 51 | — | — | — | — | — | — |
| 2019 | 20 | ROK RAW | AZL Dodgers Mota | — | 188 | 156 | 47 | 7 | 3 | 1 | 27 | 46 | 2 | 20 | 0 | 301 | 411 | 404 | 815 | 103 | 414 | 24 | 14 | 366 | 51 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | Rancho Cucamonga Quakes | — | 230 | 211 | 52 | 5 | 6 | 9 | 14 | 88 | 3 | 7 | 3 | 246 | 303 | 455 | 758 | 209 | 377 | 38 | 6 | 321 | 103 | — | — | — | — | — | — |
| 2021 | 22 | A RAW | Rancho Cucamonga Quakes | — | 230 | 205 | 63 | 8 | 7 | 12 | 20 | 66 | 3 | 7 | 3 | 307 | 377 | 590 | 967 | 283 | 402 | 29 | 9 | 414 | 103 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | 2 teams | — | 404 | 363 | 59 | 8 | 3 | 6 | 20 | 132 | 12 | 13 | 7 | 163 | 230 | 251 | 481 | 88 | 232 | 33 | 5 | 211 | 29 | — | — | — | — | — | — |
| 2022 | 23 | A+ RAW | 2 teams | — | 404 | 355 | 68 | 10 | 4 | 8 | 28 | 107 | 12 | 13 | 7 | 192 | 273 | 310 | 583 | 118 | 247 | 26 | 7 | 262 | 29 | — | — | — | — | — | — |
| 2023 | 24 | AA MLE | 2 teams | — | 387 | 354 | 77 | 8 | 2 | 4 | 23 | 130 | 6 | 22 | 9 | 218 | 277 | 285 | 562 | 68 | 329 | 34 | 6 | 252 | 56 | — | — | — | — | — | — |
| 2023 | 24 | AA RAW | 2 teams | — | 387 | 344 | 85 | 9 | 2 | 6 | 33 | 106 | 6 | 22 | 9 | 247 | 324 | 337 | 661 | 90 | 338 | 27 | 9 | 300 | 56 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | DSL Dodgers 2 | — | 262 | 232 | 40 | 4 | 4 | 0 | 21 | 67 | 7 | 18 | 8 | 172 | 263 | 224 | 487 | 52 | 232 | 26 | 8 | 223 | 37 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | AZL Dodgers | — | 119 | 107 | 13 | 3 | 1 | 2 | 8 | 47 | 3 | 5 | 2 | 121 | 205 | 224 | 429 | 103 | 174 | 39 | 7 | 183 | 10 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | AZL Dodgers Mota | — | 188 | 168 | 33 | 4 | 2 | 1 | 16 | 66 | 2 | 20 | 0 | 196 | 276 | 262 | 538 | 65 | 309 | 35 | 9 | 244 | 51 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | Rancho Cucamonga Quakes | — | 230 | 211 | 52 | 5 | 6 | 9 | 14 | 88 | 3 | 7 | 3 | 246 | 303 | 455 | 758 | 209 | 375 | 38 | 6 | 321 | 103 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | 2 teams | — | 404 | 369 | 59 | 8 | 3 | 6 | 20 | 132 | 12 | 13 | 7 | 160 | 230 | 247 | 477 | 87 | 221 | 33 | 5 | 211 | 29 | — | — | — | — | — | — |
| 2023 | 24 | AA MLE | 2 teams | — | 387 | 355 | 77 | 8 | 2 | 4 | 23 | 130 | 6 | 22 | 9 | 217 | 277 | 285 | 561 | 68 | 319 | 34 | 6 | 252 | 56 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1590 | 1432 | 274 | 32 | 18 | 22 | 102 | 530 | 33 | 85 | 29 | 191 | 261 | 285 | 546 | 94 | 283 | 33 | 6 | 241 | 49 | -97 | +5 | +0 | +6 | +34 | -5.2 | |
| / 162G | — | MLE | — | 650 | 585 | 112 | 13 | 7 | 9 | 42 | 217 | 13 | 35 | 12 | 191 | 261 | 284 | 545 | 92 | 284 | 33 | 6 | 241 | 49 | -39 | +2 | +0 | +2 | +14 | -2.1 | |
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.
2023 AATulsa Drillers · 230 PAwOBA .305 → .271 (−35)K% 26.5% → 31.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.52% | ÷1.023 | ×1.220 | — | — | 31.62% |
| BB% (unintentional) /PA | 7.39% | ÷0.973 | ×0.700 | — | ×0.998 | 5.31% |
| HBP% /PA | 1.30% | — | ×0.870 | — | ×0.998 | 1.13% |
| Singles /BIP | 32.88% | ÷0.992 | ×0.920 | ×1.050 | ×0.998 | 31.94% |
| Doubles /BIP | 3.42% | ÷0.942 | ×0.840 | ×1.050 | ×0.998 | 3.20% |
| Triples /BIP | 0.68% | ÷0.900 | ×0.940 | ×1.050 | ×0.998 | 0.75% |
| Home runs /BIP | 2.05% | ÷1.083 | ×0.800 | — | ×0.998 | 1.52% |
Factors used: league row TL. Park (home-season share, regressed): HR 117, 1B 98, 2B 88, 3B 80, K 105, BB 95 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .305 → .271; ISO .077 → .064; BABIP .375 → .362. 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 A+Great Lakes Loons · 157 PAwOBA .278 → .223 (−55)K% 28.7% → 36.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.66% | ÷1.004 | ×1.270 | — | — | 36.25% |
| BB% (unintentional) /PA | 10.19% | ÷0.992 | ×0.710 | — | ×0.978 | 7.13% |
| HBP% /PA | 1.91% | — | ×0.790 | — | ×0.978 | 1.48% |
| Singles /BIP | 21.74% | ÷0.975 | ×0.920 | ×1.029 | ×0.978 | 20.65% |
| Doubles /BIP | 4.35% | ÷1.011 | ×0.810 | ×1.029 | ×0.978 | 3.51% |
| Triples /BIP | 1.09% | ÷0.997 | ×0.850 | ×1.029 | ×0.978 | 0.93% |
| Home runs /BIP | 3.26% | ÷0.951 | ×0.800 | — | ×0.978 | 2.68% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 90, 1B 95, 2B 102, 3B 99, K 101, BB 98 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.
Result: wOBA .278 → .223; ISO .109 → .085; BABIP .278 → .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).
2022 A+Great Lakes Loons · 361 PAwOBA .240 → .197 (−43)K% 26.6% → 32.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.59% | ÷1.033 | ×1.270 | — | — | 32.70% |
| BB% (unintentional) /PA | 5.82% | ÷0.980 | ×0.710 | — | ×0.988 | 4.16% |
| HBP% /PA | 2.77% | — | ×0.790 | — | ×0.988 | 2.16% |
| Singles /BIP | 18.67% | ÷1.026 | ×0.920 | ×1.037 | ×0.988 | 17.14% |
| Doubles /BIP | 4.44% | ÷0.985 | ×0.810 | ×1.037 | ×0.988 | 3.74% |
| Triples /BIP | 1.33% | ÷1.150 | ×0.850 | ×1.037 | ×0.988 | 1.01% |
| Home runs /BIP | 2.22% | ÷1.013 | ×0.800 | — | ×0.988 | 1.73% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 103, 1B 105, 2B 97, 3B 130, K 107, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.
Result: wOBA .240 → .197; ISO .097 → .075; BABIP .247 → .220. 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 AATulsa Drillers · 43 PAwOBA .404 → .329 (−75)K% 25.6% → 32.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.58% | ÷0.971 | ×1.220 | — | — | 32.14% |
| BB% (unintentional) /PA | 16.28% | ÷0.975 | ×0.700 | — | ×1.012 | 11.82% |
| HBP% /PA | 4.65% | — | ×0.870 | — | ×1.012 | 4.10% |
| Singles /BIP | 17.39% | ÷0.953 | ×0.920 | — | ×1.012 | 16.99% |
| Doubles /BIP | 0.00% | ÷1.006 | ×0.840 | — | ×1.012 | 0.00% |
| Triples /BIP | 4.35% | ÷1.150 | ×0.940 | — | ×1.012 | 3.60% |
| Home runs /BIP | 13.04% | ÷0.993 | ×0.800 | — | ×1.012 | 10.63% |
Factors used: league row TL. Park (home-season share, regressed): HR 99, 1B 91, 2B 101, 3B 130, K 94, BB 95 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).
Result: wOBA .404 → .329; ISO .324 → .257; BABIP .250 → .230. 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 ARancho Cucamonga Quakes · 230 PAwOBA .403 → .321 (−82)K% 28.7% → 38.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.70% | ÷1.015 | ×1.360 | — | — | 38.44% |
| BB% (unintentional) /PA | 8.70% | ÷0.985 | ×0.690 | — | ×0.990 | 6.03% |
| HBP% /PA | 1.30% | — | ×0.780 | — | ×0.990 | 1.01% |
| Singles /BIP | 25.90% | ÷0.965 | ×0.920 | ×1.050 | ×0.990 | 25.66% |
| Doubles /BIP | 5.76% | ÷1.166 | ×0.830 | ×1.050 | ×0.990 | 4.26% |
| Triples /BIP | 5.04% | ÷0.960 | ×0.910 | ×1.050 | ×0.990 | 4.96% |
| Home runs /BIP | 8.63% | ÷0.965 | ×0.800 | — | ×0.990 | 7.09% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 93, 2B 133, 3B 92, K 103, BB 97 — 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 ×1.050.
Result: wOBA .403 → .321; ISO .283 → .217; BABIP .402 → .375. 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 ROKAZL Dodgers Mota · 188 PAwOBA .359 → .244 (−116)K% 24.5% → 35.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.47% | ÷1.000 | ×1.440 | — | — | 35.23% |
| BB% (unintentional) /PA | 13.83% | ÷1.000 | ×0.620 | — | ×0.985 | 8.45% |
| HBP% /PA | 1.06% | — | ×0.720 | — | ×0.985 | 0.75% |
| Singles /BIP | 32.73% | ÷1.000 | ×0.820 | ×0.950 | ×0.985 | 25.11% |
| Doubles /BIP | 6.36% | ÷1.000 | ×0.720 | ×0.950 | ×0.985 | 4.29% |
| Triples /BIP | 2.73% | ÷1.000 | ×0.720 | ×0.950 | ×0.985 | 1.84% |
| Home runs /BIP | 0.91% | ÷1.000 | ×0.780 | — | ×0.985 | 0.70% |
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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .359 → .244; ISO .103 → .067; BABIP .414 → .309. 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 ROKAZL Dodgers · 119 PAwOBA .266 → .183 (−83)K% 27.7% → 39.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.73% | ÷1.000 | ×1.440 | — | — | 39.93% |
| BB% (unintentional) /PA | 10.92% | ÷1.000 | ×0.620 | — | ×0.995 | 6.74% |
| HBP% /PA | 2.52% | — | ×0.720 | — | ×0.995 | 1.81% |
| Singles /BIP | 13.24% | ÷1.000 | ×0.820 | ×1.044 | ×0.995 | 11.28% |
| Doubles /BIP | 5.88% | ÷1.000 | ×0.720 | ×1.044 | ×0.995 | 4.40% |
| Triples /BIP | 1.47% | ÷1.000 | ×0.720 | ×1.044 | ×0.995 | 1.10% |
| Home runs /BIP | 4.41% | ÷1.000 | ×0.780 | — | ×0.995 | 3.42% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.
Result: wOBA .266 → .183; ISO .149 → .102; BABIP .215 → .174. 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 DSLDSL Dodgers 2 · 262 PAwOBA .330 → .223 (−107)K% 21.0% → 25.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.99% | ÷1.000 | ×1.220 | — | — | 25.61% |
| BB% (unintentional) /PA | 11.83% | ÷1.000 | ×0.700 | — | ×0.995 | 8.24% |
| HBP% /PA | 2.67% | — | ×0.700 | — | ×0.995 | 1.86% |
| Singles /BIP | 27.71% | ÷1.000 | ×0.680 | ×1.014 | ×0.995 | 19.02% |
| Doubles /BIP | 3.61% | ÷1.000 | ×0.600 | ×1.014 | ×0.995 | 2.19% |
| Triples /BIP | 3.61% | ÷1.000 | ×0.600 | ×1.014 | ×0.995 | 2.19% |
| Home runs /BIP | 0.60% | ÷1.000 | ×0.470 | — | ×0.995 | 0.28% |
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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.
Result: wOBA .330 → .223; ISO .095 → .056; BABIP .347 → .232. 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).