Marco Hernández
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2022 | 29 | INTLToros del Este | 40 | .231/.250/.333 | 0 | 0 | 61 | — |
| 2024 | 31 | INTLGigantes del … | 63 | .220/.270/.305 | 0 | 0 | 62 | — |
| 2025 | 32 | INTLDominican Rep… | 115 | .317/.383/.404 | 0 | 2 | 127 | — |
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) | |||||||||||||||||||||||||||||||
| 2010 | 17 | ROK | DSL Cubs 1 | — | 283 | 255 | 73 | 21 | 1 | 1 | 21 | 27 | 4 | 22 | 12 | 286 | 350 | 388 | 738 | 102 | 314 | 10 | 7 | 330 | 33 | — | — | — | — | — | — |
| 2011 | 18 | ROK | AZL Cubs | — | 233 | 210 | 70 | 16 | 5 | 2 | 16 | 29 | 1 | 9 | 7 | 333 | 383 | 486 | 869 | 152 | 370 | 12 | 7 | 374 | 76 | — | — | — | — | — | — |
| 2012 | 19 | A | Peoria Chiefs | — | 171 | 157 | 33 | 2 | 3 | 2 | 9 | 40 | 0 | 2 | 1 | 210 | 253 | 299 | 552 | 89 | 263 | 23 | 5 | 242 | 21 | — | — | — | — | — | — |
| 2013 | 20 | A | Kane County Cougars | — | 443 | 417 | 106 | 17 | 3 | 4 | 16 | 72 | 4 | 21 | 7 | 254 | 288 | 338 | 626 | 84 | 297 | 16 | 4 | 278 | 36 | — | — | — | — | — | — |
| 2014 | 21 | A+ | Daytona Cubs | — | 486 | 441 | 119 | 13 | 7 | 3 | 30 | 90 | 2 | 22 | 8 | 270 | 319 | 351 | 671 | 82 | 328 | 19 | 6 | 295 | 61 | — | — | — | — | — | — |
| 2014 | 21 | INTL | Tigres del Licey | — | 38 | 34 | 8 | 2 | 1 | 0 | 3 | 4 | 0 | 1 | 0 | 235 | 297 | 353 | 650 | 118 | 258 | 11 | 8 | 284 | 79 | — | — | — | — | — | — |
| 2015 | 22 | AAA | Pawtucket Red Sox | — | 190 | 181 | 49 | 9 | 2 | 4 | 8 | 39 | 0 | 1 | 0 | 271 | 302 | 409 | 710 | 138 | 324 | 21 | 4 | 313 | 77 | — | — | — | — | — | — |
| 2015 | 22 | AA | Portland Sea Dogs | — | 294 | 282 | 92 | 21 | 4 | 5 | 9 | 49 | 1 | 4 | 2 | 326 | 349 | 482 | 832 | 156 | 382 | 17 | 3 | 364 | 108 | — | — | — | — | — | — |
| 2015 | 22 | INTL | Tigres del Licey | — | 149 | 144 | 37 | 6 | 0 | 2 | 4 | 21 | 0 | 3 | 2 | 257 | 277 | 340 | 617 | 83 | 289 | 14 | 3 | 275 | 72 | — | — | — | — | — | — |
| 2016 | 23 | MLB | Boston Red Sox | — | 56 | 51 | 15 | 1 | 0 | 1 | 5 | 10 | 0 | 1 | 0 | 294 | 357 | 373 | 730 | 78 | 350 | 18 | 9 | 332 | 108 | +1 | +0 | -4 | +2 | +1 | -0.0 |
| 2016 | 23 | AAA | Pawtucket Red Sox | — | 237 | 223 | 69 | 7 | 4 | 5 | 12 | 51 | 0 | 4 | 2 | 309 | 345 | 444 | 789 | 135 | 381 | 22 | 5 | 347 | 104 | — | — | — | — | — | — |
| 2016 | 23 | INTL | Tigres del Licey | — | 140 | 133 | 38 | 4 | 1 | 4 | 4 | 25 | 0 | 2 | 3 | 286 | 304 | 421 | 725 | 135 | 324 | 18 | 3 | 315 | 99 | — | — | — | — | — | — |
| 2017 | 24 | MLB | Boston Red Sox | — | 60 | 58 | 16 | 3 | 0 | 0 | 1 | 15 | 1 | 0 | 1 | 276 | 300 | 328 | 628 | 52 | 372 | 25 | 2 | 284 | 72 | -2 | -0 | +0 | +0 | +1 | -0.1 |
| 2019 | 26 | MLB | Boston Red Sox | — | 155 | 148 | 37 | 7 | 0 | 2 | 3 | 42 | 3 | 1 | 2 | 250 | 279 | 338 | 617 | 88 | 337 | 27 | 2 | 276 | 67 | -6 | -1 | -2 | +2 | +3 | -0.4 |
| 2019 | 26 | AAA | Pawtucket Red Sox | — | 146 | 137 | 39 | 12 | 0 | 2 | 6 | 32 | 0 | 3 | 2 | 285 | 315 | 416 | 731 | 131 | 349 | 22 | 4 | 318 | 72 | — | — | — | — | — | — |
| 2019 | 26 | A+ | Salem Red Sox | — | 91 | 78 | 23 | 7 | 0 | 0 | 8 | 9 | 3 | 1 | 1 | 295 | 382 | 385 | 767 | 90 | 324 | 10 | 9 | 343 | 66 | — | — | — | — | — | — |
| 2019 | 26 | INTL | Tigres del Licey | — | 66 | 62 | 12 | 3 | 0 | 1 | 3 | 18 | 0 | 1 | 1 | 194 | 231 | 290 | 521 | 97 | 250 | 27 | 5 | 231 | 43 | — | — | — | — | — | — |
| 2021 | 28 | AAA | Charlotte Knights | — | 354 | 334 | 89 | 18 | 2 | 5 | 10 | 60 | 2 | 1 | 2 | 266 | 292 | 377 | 669 | 111 | 304 | 17 | 3 | 291 | 49 | — | — | — | — | — | — |
| 2022 | 29 | INTL | Toros del Este | — | 40 | 39 | 9 | 2 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 231 | 250 | 333 | 583 | 103 | 281 | 18 | 2 | 258 | 61 | — | — | — | — | — | — |
| 2024 | 31 | INTL | Gigantes del Cibao | — | 63 | 59 | 13 | 3 | 1 | 0 | 4 | 15 | 0 | 0 | 2 | 220 | 270 | 305 | 575 | 85 | 295 | 24 | 6 | 260 | 62 | — | — | — | — | — | — |
| 2025 | 32 | INTL | Dominican Republic | — | 115 | 104 | 33 | 7 | 1 | 0 | 11 | 22 | 0 | 2 | 3 | 317 | 383 | 404 | 786 | 87 | 402 | 19 | 10 | 356 | 127 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 271 | 257 | 68 | 11 | 0 | 3 | 9 | 67 | 4 | 2 | 3 | 265 | 300 | 342 | 642 | 78 | 348 | 25 | 3 | 290 | 82 | -6 | -1 | -6 | +3 | +6 | -0.3 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2010 | 17 | ROK MLE | DSL Cubs 1 | — | 283 | 262 | 49 | 13 | 1 | 0 | 14 | 33 | 4 | 22 | 12 | 187 | 239 | 244 | 484 | 57 | 207 | 12 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2011 | 18 | ROK MLE | AZL Cubs | — | 233 | 217 | 55 | 11 | 4 | 2 | 9 | 42 | 1 | 9 | 7 | 253 | 286 | 369 | 655 | 115 | 290 | 18 | 4 | 281 | 76 | — | — | — | — | — | — |
| 2012 | 19 | A MLE | Peoria Chiefs | — | 171 | 160 | 29 | 2 | 2 | 2 | 6 | 54 | 0 | 2 | 1 | 181 | 211 | 256 | 467 | 75 | 241 | 32 | 4 | 199 | 21 | — | — | — | — | — | — |
| 2013 | 20 | A MLE | Kane County Cougars | — | 443 | 423 | 87 | 14 | 2 | 3 | 10 | 100 | 4 | 21 | 7 | 206 | 231 | 270 | 501 | 64 | 258 | 23 | 2 | 221 | 36 | — | — | — | — | — | — |
| 2014 | 21 | A+ MLE | Daytona Cubs | — | 486 | 451 | 110 | 12 | 6 | 3 | 20 | 133 | 2 | 22 | 8 | 244 | 279 | 317 | 596 | 73 | 320 | 27 | 4 | 258 | 61 | — | — | — | — | — | — |
| 2015 | 22 | AAA MLE | Pawtucket Red Sox | — | 190 | 185 | 47 | 9 | 2 | 3 | 4 | 49 | 0 | 1 | 0 | 254 | 270 | 373 | 643 | 119 | 325 | 26 | 2 | 282 | 77 | — | — | — | — | — | — |
| 2015 | 22 | AA MLE | Portland Sea Dogs | — | 294 | 285 | 89 | 18 | 3 | 4 | 6 | 61 | 1 | 4 | 2 | 312 | 329 | 439 | 767 | 126 | 382 | 21 | 2 | 328 | 108 | — | — | — | — | — | — |
| 2016 | 23 | MLB MLE | Boston Red Sox | — | 56 | 51 | 15 | 1 | 0 | 1 | 5 | 10 | 0 | 1 | 0 | 294 | 357 | 373 | 730 | 78 | 350 | 18 | 9 | 328 | 108 | +1 | +0 | -4 | +2 | +1 | -0.0 |
| 2016 | 23 | AAA MLE | Pawtucket Red Sox | — | 237 | 226 | 67 | 6 | 4 | 4 | 9 | 63 | 0 | 4 | 2 | 296 | 323 | 412 | 735 | 115 | 393 | 27 | 4 | 322 | 104 | — | — | — | — | — | — |
| 2017 | 24 | MLB MLE | Boston Red Sox | — | 60 | 58 | 16 | 3 | 0 | 0 | 1 | 15 | 1 | 0 | 1 | 276 | 300 | 328 | 628 | 52 | 372 | 25 | 2 | 274 | 72 | -2 | -0 | +0 | +0 | +1 | -0.1 |
| 2019 | 26 | MLB MLE | Boston Red Sox | — | 155 | 148 | 36 | 6 | 0 | 2 | 3 | 42 | 3 | 1 | 2 | 243 | 273 | 324 | 597 | 81 | 337 | 27 | 2 | 268 | 67 | -6 | -1 | -2 | +2 | +3 | -0.4 |
| 2019 | 26 | AAA MLE | Pawtucket Red Sox | — | 146 | 139 | 35 | 10 | 0 | 2 | 4 | 38 | 0 | 3 | 2 | 252 | 273 | 367 | 640 | 115 | 318 | 26 | 3 | 275 | 72 | — | — | — | — | — | — |
| 2019 | 26 | A+ MLE | Salem Red Sox | — | 91 | 81 | 19 | 5 | 0 | 0 | 5 | 13 | 3 | 1 | 1 | 235 | 303 | 296 | 600 | 62 | 262 | 14 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2021 | 28 | AAA MLE | Charlotte Knights | — | 354 | 338 | 78 | 13 | 2 | 3 | 6 | 71 | 2 | 1 | 2 | 231 | 249 | 308 | 556 | 77 | 269 | 20 | 2 | 241 | 49 | — | — | — | — | — | — |
| 2010 | 17 | ROK MLE | DSL Cubs 1 | — | 283 | 262 | 49 | 13 | 1 | 0 | 14 | 33 | 4 | 22 | 12 | 187 | 239 | 244 | 484 | 57 | 212 | 12 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2010 | 17 | ROK RAW | DSL Cubs 1 | — | 283 | 255 | 73 | 21 | 1 | 1 | 21 | 27 | 4 | 22 | 12 | 286 | 350 | 388 | 738 | 102 | 314 | 10 | 7 | 330 | 33 | — | — | — | — | — | — |
| 2011 | 18 | ROK MLE | AZL Cubs | — | 233 | 217 | 55 | 11 | 4 | 2 | 9 | 42 | 1 | 9 | 7 | 253 | 286 | 369 | 655 | 115 | 298 | 18 | 4 | 281 | 76 | — | — | — | — | — | — |
| 2011 | 18 | ROK RAW | AZL Cubs | — | 233 | 210 | 70 | 16 | 5 | 2 | 16 | 29 | 1 | 9 | 7 | 333 | 383 | 486 | 869 | 152 | 370 | 12 | 7 | 374 | 76 | — | — | — | — | — | — |
| 2012 | 19 | A MLE | Peoria Chiefs | — | 171 | 160 | 29 | 2 | 2 | 2 | 6 | 54 | 0 | 2 | 1 | 181 | 211 | 256 | 467 | 75 | 252 | 32 | 4 | 199 | 21 | — | — | — | — | — | — |
| 2012 | 19 | A RAW | Peoria Chiefs | — | 171 | 157 | 33 | 2 | 3 | 2 | 9 | 40 | 0 | 2 | 1 | 210 | 253 | 299 | 552 | 89 | 263 | 23 | 5 | 242 | 21 | — | — | — | — | — | — |
| 2013 | 20 | A MLE | Kane County Cougars | — | 443 | 423 | 87 | 14 | 2 | 3 | 10 | 100 | 4 | 21 | 7 | 206 | 231 | 270 | 501 | 64 | 261 | 23 | 2 | 221 | 36 | — | — | — | — | — | — |
| 2013 | 20 | A RAW | Kane County Cougars | — | 443 | 417 | 106 | 17 | 3 | 4 | 16 | 72 | 4 | 21 | 7 | 254 | 288 | 338 | 626 | 84 | 297 | 16 | 4 | 278 | 36 | — | — | — | — | — | — |
| 2014 | 21 | A+ MLE | 2 teams | — | 524 | 486 | 118 | 13 | 6 | 3 | 22 | 144 | 2 | 23 | 8 | 243 | 278 | 313 | 591 | 70 | 332 | 27 | 4 | 258 | 61 | — | — | — | — | — | — |
| 2014 | 21 | A+ RAW | 2 teams | — | 524 | 475 | 127 | 15 | 8 | 3 | 33 | 94 | 2 | 23 | 8 | 267 | 318 | 352 | 669 | 84 | 322 | 18 | 6 | 294 | 61 | — | — | — | — | — | — |
| 2015 | 22 | AA MLE | 3 teams | — | 633 | 614 | 178 | 35 | 7 | 10 | 14 | 144 | 1 | 8 | 4 | 290 | 307 | 419 | 725 | 129 | 364 | 23 | 2 | 310 | 96 | — | — | — | — | — | — |
| 2015 | 22 | AA RAW | 3 teams | — | 633 | 607 | 178 | 36 | 6 | 11 | 21 | 109 | 1 | 8 | 4 | 293 | 318 | 427 | 745 | 133 | 342 | 17 | 3 | 328 | 96 | — | — | — | — | — | — |
| 2016 | 23 | AAA MLE | 3 teams | — | 433 | 409 | 122 | 11 | 6 | 8 | 20 | 107 | 0 | 7 | 5 | 298 | 331 | 413 | 744 | 115 | 385 | 25 | 5 | 323 | 105 | — | — | — | — | — | — |
| 2016 | 23 | AAA RAW | 3 teams | — | 433 | 407 | 122 | 12 | 5 | 10 | 21 | 86 | 0 | 7 | 5 | 300 | 333 | 428 | 761 | 128 | 358 | 20 | 5 | 335 | 105 | — | — | — | — | — | — |
| 2017 | 24 | MLB MLE | Boston Red Sox | — | 60 | 58 | 16 | 3 | 0 | 0 | 1 | 15 | 1 | 0 | 1 | 276 | 300 | 328 | 628 | 52 | 372 | 25 | 2 | 274 | 72 | -2 | -0 | +0 | +0 | +1 | -0.1 |
| 2017 | 24 | MLB RAW | Boston Red Sox | — | 60 | 58 | 16 | 3 | 0 | 0 | 1 | 15 | 1 | 0 | 1 | 276 | 300 | 328 | 628 | 52 | 372 | 25 | 2 | 284 | 72 | -2 | -0 | +0 | +0 | +1 | -0.1 |
| 2019 | 26 | MLB MLE | 4 teams | — | 458 | 431 | 104 | 25 | 0 | 4 | 14 | 110 | 6 | 6 | 6 | 241 | 275 | 327 | 602 | 86 | 310 | 24 | 3 | 270 | 69 | -17 | -1 | -2 | +2 | +10 | -0.9 |
| 2019 | 26 | MLB RAW | 4 teams | — | 458 | 425 | 111 | 29 | 0 | 5 | 20 | 101 | 6 | 6 | 6 | 261 | 304 | 365 | 668 | 104 | 326 | 22 | 4 | 296 | 69 | -17 | -1 | -2 | +2 | +10 | -0.9 |
| 2021 | 28 | AAA MLE | Charlotte Knights | — | 354 | 338 | 78 | 13 | 2 | 3 | 6 | 71 | 2 | 1 | 2 | 231 | 249 | 308 | 556 | 77 | 277 | 20 | 2 | 241 | 49 | — | — | — | — | — | — |
| 2021 | 28 | AAA RAW | Charlotte Knights | — | 354 | 334 | 89 | 18 | 2 | 5 | 10 | 60 | 2 | 1 | 2 | 266 | 292 | 377 | 669 | 111 | 304 | 17 | 3 | 291 | 49 | — | — | — | — | — | — |
| 2022 | 29 | INTL MLE | Toros del Este | — | 40 | 39 | 9 | 2 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 231 | 250 | 333 | 583 | 103 | 281 | 18 | 2 | — | — | — | — | — | — | — | — |
| 2022 | 29 | INTL RAW | Toros del Este | — | 40 | 39 | 9 | 2 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 231 | 250 | 333 | 583 | 103 | 281 | 18 | 2 | 258 | 61 | — | — | — | — | — | — |
| 2024 | 31 | INTL MLE | Gigantes del Cibao | — | 63 | 59 | 13 | 3 | 1 | 0 | 4 | 15 | 0 | 0 | 2 | 220 | 270 | 305 | 575 | 85 | 295 | 24 | 6 | — | — | — | — | — | — | — | — |
| 2024 | 31 | INTL RAW | Gigantes del Cibao | — | 63 | 59 | 13 | 3 | 1 | 0 | 4 | 15 | 0 | 0 | 2 | 220 | 270 | 305 | 575 | 85 | 295 | 24 | 6 | 260 | 62 | — | — | — | — | — | — |
| 2025 | 32 | INTL MLE | Dominican Republic | — | 115 | 104 | 33 | 7 | 1 | 0 | 11 | 22 | 0 | 2 | 3 | 317 | 383 | 404 | 786 | 87 | 402 | 19 | 10 | — | — | — | — | — | — | — | — |
| 2025 | 32 | INTL RAW | Dominican Republic | — | 115 | 104 | 33 | 7 | 1 | 0 | 11 | 22 | 0 | 2 | 3 | 317 | 383 | 404 | 786 | 87 | 402 | 19 | 10 | 356 | 127 | — | — | — | — | — | — |
| 2010 | 17 | ROK MLE | DSL Cubs 1 | — | 283 | 263 | 49 | 13 | 1 | 0 | 14 | 33 | 4 | 22 | 12 | 186 | 239 | 243 | 483 | 57 | 207 | 12 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2011 | 18 | ROK MLE | AZL Cubs | — | 233 | 221 | 55 | 11 | 4 | 2 | 9 | 42 | 1 | 9 | 7 | 249 | 286 | 362 | 648 | 113 | 290 | 18 | 4 | 281 | 76 | — | — | — | — | — | — |
| 2012 | 19 | A MLE | Peoria Chiefs | — | 171 | 163 | 29 | 2 | 2 | 2 | 6 | 54 | 0 | 2 | 1 | 178 | 211 | 252 | 462 | 74 | 241 | 32 | 4 | 199 | 21 | — | — | — | — | — | — |
| 2013 | 20 | A MLE | Kane County Cougars | — | 443 | 426 | 87 | 14 | 2 | 3 | 10 | 100 | 4 | 21 | 7 | 204 | 231 | 268 | 499 | 63 | 258 | 23 | 2 | 221 | 36 | — | — | — | — | — | — |
| 2014 | 21 | A+ MLE | 2 teams | — | 524 | 495 | 118 | 13 | 6 | 3 | 22 | 144 | 2 | 23 | 8 | 238 | 278 | 307 | 586 | 69 | 320 | 27 | 4 | 258 | 61 | — | — | — | — | — | — |
| 2015 | 22 | AA MLE | 3 teams | — | 633 | 613 | 178 | 35 | 7 | 10 | 14 | 144 | 1 | 8 | 4 | 290 | 307 | 419 | 726 | 129 | 360 | 23 | 2 | 310 | 96 | — | — | — | — | — | — |
| 2016 | 23 | AAA MLE | 3 teams | — | 433 | 410 | 122 | 11 | 6 | 8 | 20 | 107 | 0 | 7 | 5 | 298 | 331 | 412 | 743 | 115 | 385 | 25 | 5 | 323 | 105 | — | — | — | — | — | — |
| 2017 | 24 | MLB MLE | Boston Red Sox | — | 60 | 58 | 16 | 3 | 0 | 0 | 1 | 15 | 1 | 0 | 1 | 276 | 300 | 328 | 628 | 52 | 372 | 25 | 2 | 274 | 72 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | 4 teams | — | 458 | 435 | 104 | 25 | 0 | 4 | 14 | 110 | 6 | 6 | 6 | 239 | 275 | 324 | 599 | 85 | 312 | 24 | 3 | 270 | 69 | — | — | — | — | — | — |
| 2021 | 28 | AAA MLE | Charlotte Knights | — | 354 | 343 | 78 | 13 | 2 | 3 | 6 | 71 | 2 | 1 | 2 | 227 | 249 | 303 | 552 | 76 | 269 | 20 | 2 | 241 | 49 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 271 | 257 | 68 | 11 | 0 | 3 | 9 | 67 | 4 | 2 | 3 | 265 | 300 | 342 | 642 | 78 | 348 | 25 | 3 | 290 | 56 | -6 | -1 | -6 | +3 | +6 | -0.3 | |
| / 162G | — | A+C | — | 650 | 616 | 163 | 26 | 0 | 7 | 22 | 161 | 10 | 5 | 7 | 265 | 301 | 341 | 642 | 76 | 348 | 25 | 3 | 290 | 56 | -14 | -2 | -13 | +8 | +14 | -0.7 | |
| Career | — | MLE | — | 3810 | 3600 | 891 | 152 | 33 | 35 | 132 | 864 | 21 | 101 | 58 | 247 | 278 | 337 | 615 | 90 | 313 | 23 | 3 | 251 | 56 | -6 | -1 | -6 | +3 | +6 | -0.3 | |
| / 162G | — | MLE | — | 650 | 614 | 152 | 26 | 6 | 6 | 23 | 147 | 4 | 17 | 10 | 248 | 280 | 339 | 618 | 91 | 313 | 23 | 4 | 251 | 56 | -14 | -2 | -13 | +8 | +14 | -0.7 | |
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.
2021 AAACharlotte Knights · 354 PAwOBA .289 → .241 (−48)K% 16.9% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.95% | ÷1.011 | ×1.200 | — | — | 20.12% |
| BB% (unintentional) /PA | 2.82% | ÷1.053 | ×0.690 | — | ×0.982 | 1.82% |
| HBP% /PA | 0.56% | — | ×0.940 | — | ×0.982 | 0.52% |
| Singles /BIP | 23.36% | ÷0.986 | ×0.930 | ×1.009 | ×0.982 | 21.83% |
| Doubles /BIP | 6.57% | ÷1.128 | ×0.830 | ×1.009 | ×0.982 | 4.79% |
| Triples /BIP | 0.73% | ÷1.020 | ×0.920 | ×1.009 | ×0.982 | 0.65% |
| Home runs /BIP | 1.82% | ÷1.190 | ×0.700 | — | ×0.982 | 1.05% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.
Result: wOBA .289 → .241; ISO .111 → .076; BABIP .304 → .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).
2019 AAAPawtucket Red Sox · 146 PAwOBA .313 → .275 (−38)K% 21.9% → 26.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.92% | ÷1.002 | ×1.200 | — | — | 26.25% |
| BB% (unintentional) /PA | 3.42% | ÷0.963 | ×0.690 | — | ×1.003 | 2.46% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.003 | 0.00% |
| Singles /BIP | 23.81% | ÷0.953 | ×0.930 | ×0.950 | ×1.003 | 22.14% |
| Doubles /BIP | 11.43% | ÷0.896 | ×0.830 | ×0.950 | ×1.003 | 10.09% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×0.950 | ×1.003 | 0.00% |
| Home runs /BIP | 1.90% | ÷1.038 | ×0.840 | — | ×1.003 | 1.55% |
Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 91, 2B 79, 3B 80, K 100, BB 93 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .313 → .275; ISO .131 → .112; BABIP .349 → .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).
2019 A+Salem Red Sox · 91 PAwOBA .342 → .266 (−76)K% 9.9% → 14.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.89% | ÷0.958 | ×1.420 | — | — | 14.66% |
| BB% (unintentional) /PA | 8.79% | ÷0.968 | ×0.630 | — | ×0.958 | 5.48% |
| HBP% /PA | 3.30% | — | ×0.860 | — | ×0.958 | 2.72% |
| Singles /BIP | 23.19% | ÷1.003 | ×0.940 | ×0.950 | ×0.958 | 19.78% |
| Doubles /BIP | 10.14% | ÷1.070 | ×0.830 | ×0.950 | ×0.958 | 7.16% |
| Triples /BIP | 0.00% | ÷0.972 | ×0.800 | ×0.950 | ×0.958 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.080 | ×0.900 | — | ×0.958 | 0.00% |
Factors used: league row CAR. Park (home-season share, regressed): HR 116, 1B 101, 2B 114, 3B 94, K 92, BB 94 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .342 → .266; ISO .090 → .064; BABIP .324 → .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).
2016 AAAPawtucket Red Sox · 237 PAwOBA .339 → .322 (−16)K% 21.5% → 26.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.52% | ÷0.979 | ×1.200 | — | — | 26.37% |
| BB% (unintentional) /PA | 5.06% | ÷1.007 | ×0.690 | — | ×1.048 | 3.64% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.048 | 0.00% |
| Singles /BIP | 30.81% | ÷0.957 | ×0.930 | ×1.018 | ×1.048 | 31.93% |
| Doubles /BIP | 4.07% | ÷0.923 | ×0.830 | ×1.018 | ×1.048 | 3.90% |
| Triples /BIP | 2.33% | ÷0.912 | ×0.970 | ×1.018 | ×1.048 | 2.64% |
| Home runs /BIP | 2.91% | ÷0.994 | ×0.840 | — | ×1.048 | 2.57% |
Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 91, 2B 85, 3B 82, K 96, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.
Result: wOBA .339 → .322; ISO .135 → .126; BABIP .381 → .393. 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 AAPortland Sea Dogs · 294 PAwOBA .354 → .328 (−26)K% 16.7% → 20.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷0.983 | ×1.220 | — | — | 20.69% |
| BB% (unintentional) /PA | 3.06% | ÷1.067 | ×0.700 | — | ×1.027 | 2.06% |
| HBP% /PA | 0.34% | — | ×0.850 | — | ×1.027 | 0.30% |
| Singles /BIP | 26.61% | ÷0.970 | ×0.970 | ×1.028 | ×1.027 | 28.09% |
| Doubles /BIP | 9.01% | ÷1.026 | ×0.860 | ×1.028 | ×1.027 | 7.98% |
| Triples /BIP | 1.72% | ÷1.150 | ×0.950 | ×1.028 | ×1.027 | 1.50% |
| Home runs /BIP | 2.15% | ÷0.994 | ×0.780 | — | ×1.027 | 1.73% |
Factors used: league row EL. Park (home-season share, regressed): HR 99, 1B 94, 2B 105, 3B 130, K 97, BB 113 — 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 ×1.028.
Result: wOBA .354 → .328; ISO .156 → .130; BABIP .382 → .382. 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 AAAPawtucket Red Sox · 190 PAwOBA .302 → .282 (−19)K% 20.5% → 25.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.53% | ÷0.956 | ×1.200 | — | — | 25.78% |
| BB% (unintentional) /PA | 3.16% | ÷0.996 | ×0.690 | — | ×1.050 | 2.30% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.050 | 0.00% |
| Singles /BIP | 23.94% | ÷0.989 | ×0.930 | ×1.018 | ×1.050 | 24.06% |
| Doubles /BIP | 6.34% | ÷0.867 | ×0.830 | ×1.018 | ×1.050 | 6.49% |
| Triples /BIP | 1.41% | ÷1.012 | ×0.970 | ×1.018 | ×1.050 | 1.44% |
| Home runs /BIP | 2.82% | ÷1.012 | ×0.840 | — | ×1.050 | 2.45% |
Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 98, 2B 73, 3B 102, K 91, BB 99 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.
Result: wOBA .302 → .282; ISO .138 → .126; BABIP .324 → .325. 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 A+Daytona Cubs · 486 PAwOBA .290 → .258 (−31)K% 18.5% → 27.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.52% | ÷0.959 | ×1.420 | — | — | 27.43% |
| BB% (unintentional) /PA | 5.76% | ÷1.044 | ×0.750 | — | ×1.012 | 4.19% |
| HBP% /PA | 0.41% | — | ×0.930 | — | ×1.012 | 0.39% |
| Singles /BIP | 27.35% | ÷0.995 | ×0.920 | ×1.050 | ×1.012 | 26.86% |
| Doubles /BIP | 3.70% | ÷1.006 | ×0.960 | ×1.050 | ×1.012 | 3.76% |
| Triples /BIP | 1.99% | ÷0.986 | ×0.810 | ×1.050 | ×1.012 | 1.74% |
| Home runs /BIP | 0.85% | ÷0.930 | ×0.880 | — | ×1.012 | 0.82% |
Factors used: league row FSL. Park (home-season share, regressed): HR 86, 1B 99, 2B 101, 3B 97, K 92, BB 109 — 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 ×1.050.
Result: wOBA .290 → .258; ISO .082 → .073; BABIP .328 → .320. 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).
2013 AKane County Cougars · 443 PAwOBA .271 → .221 (−50)K% 16.3% → 22.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.25% | ÷0.980 | ×1.360 | — | — | 22.55% |
| BB% (unintentional) /PA | 3.39% | ÷1.047 | ×0.690 | — | ×1.015 | 2.26% |
| HBP% /PA | 0.90% | — | ×0.780 | — | ×1.015 | 0.71% |
| Singles /BIP | 23.77% | ÷1.091 | ×0.920 | ×1.017 | ×1.015 | 20.68% |
| Doubles /BIP | 4.93% | ÷0.990 | ×0.830 | ×1.017 | ×1.015 | 4.26% |
| Triples /BIP | 0.87% | ÷1.105 | ×0.910 | ×1.017 | ×1.015 | 0.74% |
| Home runs /BIP | 1.16% | ÷0.913 | ×0.800 | — | ×1.015 | 1.03% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 118, 2B 98, 3B 121, K 96, BB 109 — 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 ×1.017.
Result: wOBA .271 → .221; ISO .084 → .070; BABIP .297 → .258. 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 — .