Dorssys Paulino
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 21 | A+/ROK2 orgs | 271 | .297/.375/.448 | 6 | 4 | 80 | — | .241/.297/.357 |
| 2017 | 22 | AACLE | 366 | .257/.352/.365 | 6 | 6 | 82 | — | .253/.321/.341 |
| 2018 | 23 | AAA/AACLE | 168 | .194/.301/.326 | 4 | 0 | 60 | — | .194/.277/.321 |
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) | |||||||||||||||||||||||||||||||
| 2012 | 17 | ROK | AZL Indians | — | 188 | 172 | 61 | 14 | 6 | 6 | 15 | 31 | 0 | 9 | 1 | 355 | 406 | 610 | 1.017 | 256 | 404 | 16 | 8 | 438 | 101 | — | — | — | — | — | — |
| 2013 | 18 | A | Lake County Captains | — | 523 | 476 | 117 | 28 | 3 | 5 | 30 | 91 | 5 | 12 | 7 | 246 | 297 | 349 | 646 | 103 | 294 | 17 | 6 | 285 | 52 | — | — | — | — | — | — |
| 2014 | 19 | A | Lake County Captains | — | 472 | 427 | 107 | 25 | 5 | 3 | 33 | 101 | 6 | 5 | 6 | 251 | 313 | 354 | 667 | 103 | 319 | 21 | 7 | 298 | 52 | — | — | — | — | — | — |
| 2015 | 20 | A+ | Lynchburg Hillcats | — | 177 | 154 | 47 | 10 | 6 | 4 | 17 | 30 | 1 | 5 | 2 | 305 | 378 | 526 | 904 | 221 | 350 | 17 | 10 | 384 | 112 | — | — | — | — | — | — |
| 2015 | 20 | A | Lake County Captains | — | 348 | 313 | 80 | 12 | 2 | 6 | 22 | 61 | 8 | 11 | 5 | 256 | 321 | 364 | 685 | 109 | 298 | 18 | 6 | 306 | 61 | — | — | — | — | — | — |
| 2016 | 21 | A+ | Lynchburg Hillcats | — | 236 | 211 | 60 | 14 | 1 | 6 | 22 | 50 | 1 | 1 | 2 | 284 | 355 | 445 | 800 | 161 | 346 | 21 | 9 | 354 | 76 | — | — | — | — | — | — |
| 2016 | 21 | ROK | AZL Indians | — | 35 | 28 | 11 | 2 | 0 | 0 | 6 | 5 | 1 | 3 | 1 | 393 | 514 | 464 | 979 | 71 | 478 | 14 | 17 | 447 | 104 | — | — | — | — | — | — |
| 2017 | 22 | AA | Akron RubberDucks | — | 366 | 315 | 81 | 12 | 2 | 6 | 42 | 76 | 4 | 6 | 2 | 257 | 352 | 365 | 717 | 108 | 318 | 21 | 11 | 324 | 82 | — | — | — | — | — | — |
| 2018 | 23 | AAA | Columbus Clippers | — | 15 | 11 | 2 | 1 | 0 | 0 | 4 | 5 | 0 | 0 | 0 | 182 | 400 | 273 | 673 | 91 | 333 | 33 | 27 | 332 | 72 | — | — | — | — | — | — |
| 2018 | 23 | AA | Akron RubberDucks | — | 153 | 133 | 26 | 4 | 1 | 4 | 18 | 29 | 0 | 0 | 1 | 195 | 291 | 331 | 622 | 135 | 218 | 19 | 12 | 281 | 59 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 17 | ROK MLE | AZL Indians | — | 188 | 178 | 47 | 10 | 4 | 5 | 9 | 45 | 0 | 9 | 1 | 264 | 299 | 449 | 749 | 185 | 324 | 24 | 5 | 318 | 101 | — | — | — | — | — | — |
| 2013 | 18 | A MLE | Lake County Captains | — | 523 | 483 | 106 | 25 | 3 | 4 | 23 | 124 | 5 | 12 | 7 | 219 | 262 | 308 | 571 | 89 | 276 | 24 | 4 | 245 | 52 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Lake County Captains | — | 472 | 436 | 93 | 21 | 5 | 2 | 24 | 139 | 6 | 5 | 6 | 213 | 264 | 298 | 562 | 85 | 298 | 29 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2015 | 20 | A+ MLE | Lynchburg Hillcats | — | 177 | 161 | 45 | 9 | 6 | 3 | 10 | 41 | 1 | 5 | 2 | 280 | 326 | 466 | 791 | 186 | 333 | 23 | 6 | 334 | 112 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Lake County Captains | — | 348 | 320 | 73 | 11 | 2 | 4 | 15 | 82 | 8 | 11 | 5 | 228 | 280 | 312 | 592 | 84 | 285 | 24 | 4 | 259 | 61 | — | — | — | — | — | — |
| 2016 | 21 | A+ MLE | Lynchburg Hillcats | — | 236 | 219 | 52 | 11 | 1 | 5 | 14 | 74 | 1 | 1 | 2 | 237 | 286 | 365 | 652 | 128 | 323 | 31 | 6 | 280 | 76 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | AZL Indians | — | 35 | 30 | 8 | 1 | 0 | 0 | 4 | 7 | 1 | 3 | 1 | 267 | 371 | 300 | 671 | 33 | 374 | 20 | 11 | 322 | 104 | — | — | — | — | — | — |
| 2017 | 22 | AA MLE | Akron RubberDucks | — | 366 | 328 | 83 | 10 | 2 | 5 | 29 | 94 | 4 | 6 | 2 | 253 | 321 | 341 | 663 | 88 | 326 | 26 | 8 | 290 | 82 | — | — | — | — | — | — |
| 2018 | 23 | AAA MLE | Columbus Clippers | — | 15 | 12 | 2 | 1 | 0 | 0 | 3 | 6 | 0 | 0 | 0 | 167 | 333 | 250 | 583 | 83 | 318 | 40 | 20 | 274 | 72 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | Akron RubberDucks | — | 153 | 137 | 27 | 4 | 1 | 4 | 14 | 35 | 0 | 0 | 1 | 197 | 272 | 328 | 600 | 131 | 222 | 23 | 9 | 256 | 59 | — | — | — | — | — | — |
| 2012 | 17 | ROK MLE | AZL Indians | — | 188 | 178 | 47 | 10 | 4 | 5 | 9 | 45 | 0 | 9 | 1 | 264 | 299 | 449 | 749 | 185 | 326 | 24 | 5 | 318 | 101 | — | — | — | — | — | — |
| 2012 | 17 | ROK RAW | AZL Indians | — | 188 | 172 | 61 | 14 | 6 | 6 | 15 | 31 | 0 | 9 | 1 | 355 | 406 | 610 | 1.017 | 256 | 404 | 16 | 8 | 438 | 101 | — | — | — | — | — | — |
| 2013 | 18 | A MLE | Lake County Captains | — | 523 | 483 | 106 | 25 | 3 | 4 | 23 | 124 | 5 | 12 | 7 | 219 | 262 | 308 | 571 | 89 | 287 | 24 | 4 | 245 | 52 | — | — | — | — | — | — |
| 2013 | 18 | A RAW | Lake County Captains | — | 523 | 476 | 117 | 28 | 3 | 5 | 30 | 91 | 5 | 12 | 7 | 246 | 297 | 349 | 646 | 103 | 294 | 17 | 6 | 285 | 52 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Lake County Captains | — | 472 | 436 | 93 | 21 | 5 | 2 | 24 | 139 | 6 | 5 | 6 | 213 | 264 | 298 | 562 | 85 | 305 | 29 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2014 | 19 | A RAW | Lake County Captains | — | 472 | 427 | 107 | 25 | 5 | 3 | 33 | 101 | 6 | 5 | 6 | 251 | 313 | 354 | 667 | 103 | 319 | 21 | 7 | 298 | 52 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | 2 teams | — | 525 | 481 | 117 | 20 | 7 | 7 | 25 | 123 | 9 | 16 | 7 | 243 | 293 | 358 | 651 | 114 | 309 | 23 | 5 | 284 | 79 | — | — | — | — | — | — |
| 2015 | 20 | A RAW | 2 teams | — | 525 | 467 | 127 | 22 | 8 | 10 | 39 | 91 | 9 | 16 | 7 | 272 | 340 | 418 | 757 | 146 | 315 | 17 | 7 | 332 | 79 | — | — | — | — | — | — |
| 2016 | 21 | A+ MLE | 2 teams | — | 271 | 249 | 60 | 12 | 1 | 5 | 18 | 82 | 2 | 4 | 3 | 241 | 297 | 357 | 655 | 116 | 337 | 30 | 7 | 285 | 79 | — | — | — | — | — | — |
| 2016 | 21 | A+ RAW | 2 teams | — | 271 | 239 | 71 | 16 | 1 | 6 | 28 | 55 | 2 | 4 | 3 | 297 | 375 | 448 | 823 | 151 | 363 | 20 | 10 | 366 | 79 | — | — | — | — | — | — |
| 2017 | 22 | AA MLE | Akron RubberDucks | — | 366 | 328 | 83 | 10 | 2 | 5 | 29 | 94 | 4 | 6 | 2 | 253 | 321 | 341 | 663 | 88 | 336 | 26 | 8 | 290 | 82 | — | — | — | — | — | — |
| 2017 | 22 | AA RAW | Akron RubberDucks | — | 366 | 315 | 81 | 12 | 2 | 6 | 42 | 76 | 4 | 6 | 2 | 257 | 352 | 365 | 717 | 108 | 318 | 21 | 11 | 324 | 82 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | 2 teams | — | 168 | 149 | 29 | 5 | 1 | 4 | 17 | 41 | 0 | 0 | 1 | 195 | 277 | 322 | 599 | 128 | 238 | 24 | 10 | 258 | 60 | — | — | — | — | — | — |
| 2018 | 23 | AA RAW | 2 teams | — | 168 | 144 | 28 | 5 | 1 | 4 | 22 | 34 | 0 | 0 | 1 | 194 | 301 | 326 | 628 | 132 | 224 | 20 | 13 | 286 | 60 | — | — | — | — | — | — |
| 2012 | 17 | ROK MLE | AZL Indians | — | 188 | 177 | 47 | 10 | 4 | 5 | 9 | 45 | 0 | 9 | 1 | 266 | 299 | 452 | 751 | 186 | 324 | 24 | 5 | 318 | 101 | — | — | — | — | — | — |
| 2013 | 18 | A MLE | Lake County Captains | — | 523 | 490 | 106 | 25 | 3 | 4 | 23 | 124 | 5 | 12 | 7 | 216 | 262 | 304 | 566 | 88 | 276 | 24 | 4 | 245 | 52 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Lake County Captains | — | 472 | 439 | 93 | 21 | 5 | 2 | 24 | 139 | 6 | 5 | 6 | 212 | 264 | 296 | 560 | 84 | 298 | 29 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | 2 teams | — | 525 | 486 | 117 | 20 | 7 | 7 | 25 | 123 | 9 | 16 | 7 | 241 | 293 | 354 | 647 | 113 | 301 | 23 | 5 | 284 | 79 | — | — | — | — | — | — |
| 2016 | 21 | A+ MLE | 2 teams | — | 271 | 249 | 60 | 12 | 1 | 5 | 18 | 82 | 2 | 4 | 3 | 241 | 297 | 357 | 655 | 116 | 330 | 30 | 7 | 285 | 79 | — | — | — | — | — | — |
| 2017 | 22 | AA MLE | Akron RubberDucks | — | 366 | 330 | 83 | 10 | 2 | 5 | 29 | 94 | 4 | 6 | 2 | 252 | 321 | 339 | 661 | 88 | 326 | 26 | 8 | 290 | 82 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | 2 teams | — | 168 | 149 | 29 | 5 | 1 | 4 | 17 | 41 | 0 | 0 | 1 | 195 | 277 | 322 | 599 | 128 | 231 | 24 | 10 | 258 | 60 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2513 | 2304 | 535 | 103 | 23 | 32 | 145 | 648 | 26 | 52 | 27 | 232 | 285 | 339 | 624 | 106 | 307 | 26 | 6 | 270 | 69 | -92 | -0 | +0 | -27 | +54 | -6.6 | |
| / 162G | — | MLE | — | 650 | 596 | 139 | 27 | 6 | 8 | 38 | 168 | 7 | 13 | 7 | 233 | 287 | 339 | 626 | 106 | 309 | 26 | 6 | 270 | 69 | -24 | -0 | +0 | -7 | +14 | -1.7 | |
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 AAAkron RubberDucks · 153 PAwOBA .276 → .256 (−20)K% 19.0% → 23.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.95% | ÷1.004 | ×1.220 | — | — | 23.04% |
| BB% (unintentional) /PA | 11.76% | ÷0.941 | ×0.700 | — | ×1.012 | 8.86% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×1.012 | 0.00% |
| Singles /BIP | 16.35% | ÷0.968 | ×0.970 | ×1.024 | ×1.012 | 16.96% |
| Doubles /BIP | 3.85% | ÷0.922 | ×0.860 | ×1.024 | ×1.012 | 3.72% |
| Triples /BIP | 0.96% | ÷0.980 | ×0.950 | ×1.024 | ×1.012 | 0.97% |
| Home runs /BIP | 3.85% | ÷0.840 | ×0.780 | — | ×1.012 | 3.62% |
Factors used: league row EL. Park (home-season share, regressed): HR 68, 1B 94, 2B 84, 3B 96, K 101, BB 88 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.
Result: wOBA .276 → .256; ISO .135 → .129; BABIP .218 → .222. 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 AAAColumbus Clippers · 15 PAwOBA .326 → .274 (−52)K% 33.3% → 39.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷1.017 | ×1.200 | — | — | 39.34% |
| BB% (unintentional) /PA | 26.67% | ÷0.972 | ×0.690 | — | ×1.048 | 19.83% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.048 | 0.00% |
| Singles /BIP | 16.67% | ÷0.974 | ×0.930 | — | ×1.048 | 16.68% |
| Doubles /BIP | 16.67% | ÷0.958 | ×0.830 | — | ×1.048 | 15.13% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | — | ×1.048 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.135 | ×0.840 | — | ×1.048 | 0.00% |
Factors used: league row IL. Park (home-season share, regressed): HR 127, 1B 95, 2B 92, 3B 80, K 103, BB 94 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).
Result: wOBA .326 → .274; ISO .091 → .084; BABIP .333 → .318. 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 AAAkron RubberDucks · 366 PAwOBA .319 → .290 (−28)K% 20.8% → 25.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.77% | ÷0.990 | ×1.220 | — | — | 25.59% |
| BB% (unintentional) /PA | 11.48% | ÷1.052 | ×0.700 | — | ×1.027 | 7.84% |
| HBP% /PA | 1.09% | — | ×0.850 | — | ×1.027 | 0.95% |
| Singles /BIP | 25.52% | ÷0.978 | ×0.970 | ×1.050 | ×1.027 | 27.31% |
| Doubles /BIP | 5.02% | ÷1.072 | ×0.860 | ×1.050 | ×1.027 | 4.34% |
| Triples /BIP | 0.84% | ÷1.150 | ×0.950 | ×1.050 | ×1.027 | 0.75% |
| Home runs /BIP | 2.51% | ÷1.008 | ×0.780 | — | ×1.027 | 1.99% |
Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 96, 2B 114, 3B 130, K 98, BB 110 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .319 → .290; ISO .108 → .090; BABIP .318 → .326. 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 A+Lynchburg Hillcats · 236 PAwOBA .346 → .280 (−66)K% 21.2% → 31.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.19% | ÷0.956 | ×1.420 | — | — | 31.46% |
| BB% (unintentional) /PA | 9.32% | ÷1.015 | ×0.630 | — | ×1.012 | 5.86% |
| HBP% /PA | 0.42% | — | ×0.860 | — | ×1.012 | 0.37% |
| Singles /BIP | 24.22% | ÷0.969 | ×0.940 | ×0.992 | ×1.012 | 23.60% |
| Doubles /BIP | 8.70% | ÷1.000 | ×0.830 | ×0.992 | ×1.012 | 7.25% |
| Triples /BIP | 0.62% | ÷1.037 | ×0.800 | ×0.992 | ×1.012 | 0.48% |
| Home runs /BIP | 3.73% | ÷0.932 | ×0.900 | — | ×1.012 | 3.64% |
Factors used: league row CAR. Park (home-season share, regressed): HR 86, 1B 94, 2B 100, 3B 107, K 91, BB 103 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.
Result: wOBA .346 → .280; ISO .161 → .133; BABIP .346 → .323. 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 ROKAZL Indians · 35 PAwOBA .436 → .322 (−115)K% 14.3% → 20.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.29% | ÷1.000 | ×1.440 | — | — | 20.57% |
| BB% (unintentional) /PA | 17.14% | ÷1.000 | ×0.620 | — | ×0.975 | 10.36% |
| HBP% /PA | 2.86% | — | ×0.720 | — | ×0.975 | 2.01% |
| Singles /BIP | 39.13% | ÷1.000 | ×0.820 | — | ×0.975 | 31.28% |
| Doubles /BIP | 8.70% | ÷1.000 | ×0.720 | — | ×0.975 | 6.10% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.975 | 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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .436 → .322; ISO .071 → .051; BABIP .478 → .374. 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 ALake County Captains · 348 PAwOBA .300 → .259 (−42)K% 17.5% → 23.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.53% | ÷1.014 | ×1.360 | — | — | 23.51% |
| BB% (unintentional) /PA | 6.32% | ÷0.995 | ×0.690 | — | ×1.015 | 4.45% |
| HBP% /PA | 2.30% | — | ×0.780 | — | ×1.015 | 1.82% |
| Singles /BIP | 23.81% | ÷1.007 | ×0.920 | ×1.041 | ×1.015 | 22.98% |
| Doubles /BIP | 4.76% | ÷0.902 | ×0.830 | ×1.041 | ×1.015 | 4.63% |
| Triples /BIP | 0.79% | ÷1.103 | ×0.910 | ×1.041 | ×1.015 | 0.69% |
| Home runs /BIP | 2.38% | ÷1.169 | ×0.800 | — | ×1.015 | 1.65% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 101, 2B 80, 3B 121, K 103, BB 99 — 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 ×1.041.
Result: wOBA .300 → .259; ISO .109 → .086; BABIP .298 → .285. 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 A+Lynchburg Hillcats · 177 PAwOBA .378 → .334 (−44)K% 16.9% → 23.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.95% | ÷1.031 | ×1.420 | — | — | 23.35% |
| BB% (unintentional) /PA | 9.04% | ÷1.046 | ×0.630 | — | ×1.027 | 5.59% |
| HBP% /PA | 0.56% | — | ×0.860 | — | ×1.027 | 0.50% |
| Singles /BIP | 21.77% | ÷1.026 | ×0.940 | ×1.050 | ×1.027 | 21.52% |
| Doubles /BIP | 8.06% | ÷1.000 | ×0.830 | ×1.050 | ×1.027 | 7.21% |
| Triples /BIP | 4.84% | ÷0.921 | ×0.800 | ×1.050 | ×1.027 | 4.53% |
| Home runs /BIP | 3.23% | ÷1.129 | ×0.900 | — | ×1.027 | 2.64% |
Factors used: league row CAR. Park (home-season share, regressed): HR 126, 1B 105, 2B 100, 3B 84, K 106, BB 109 — 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 ×1.050.
Result: wOBA .378 → .334; ISO .221 → .196; BABIP .350 → .333. 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 ALake County Captains · 472 PAwOBA .293 → .245 (−47)K% 21.4% → 29.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.40% | ÷0.986 | ×1.360 | — | — | 29.51% |
| BB% (unintentional) /PA | 6.99% | ÷0.971 | ×0.690 | — | ×1.030 | 5.12% |
| HBP% /PA | 1.27% | — | ×0.780 | — | ×1.030 | 1.02% |
| Singles /BIP | 22.70% | ÷1.034 | ×0.920 | ×1.033 | ×1.030 | 21.49% |
| Doubles /BIP | 7.67% | ÷0.997 | ×0.830 | ×1.033 | ×1.030 | 6.79% |
| Triples /BIP | 1.53% | ÷0.951 | ×0.910 | ×1.033 | ×1.030 | 1.56% |
| Home runs /BIP | 0.92% | ÷1.042 | ×0.800 | — | ×1.030 | 0.73% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 107, 2B 99, 3B 90, K 97, BB 94 — 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 ×1.033.
Result: wOBA .293 → .245; ISO .103 → .086; BABIP .319 → .298. 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).