Danny Ortiz
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2023 | 33 | INTLPuerto Rico | 189 | .237/.306/.314 | 3 | 1 | 77 | — |
| 2024 | 34 | INTLPuerto Rico | 249 | .242/.313/.390 | 8 | 0 | 97 | — |
| 2025 | 35 | INTLIndios de May… | 147 | .200/.283/.246 | 0 | 2 | 53 | — |
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) | |||||||||||||||||||||||||||||||
| 2008 | 18 | ROK | GCL Twins | — | 205 | 186 | 51 | 11 | 5 | 2 | 11 | 30 | 5 | 4 | 0 | 274 | 332 | 419 | 751 | 145 | 314 | 15 | 5 | 330 | 50 | — | — | — | — | — | — |
| 2010 | 20 | ROK | Elizabethton Twins | — | 261 | 239 | 62 | 16 | 4 | 11 | 14 | 60 | 2 | 1 | 0 | 259 | 306 | 498 | 804 | 238 | 293 | 23 | 5 | 342 | 47 | — | — | — | — | — | — |
| 2010 | 20 | INTL | Indios de Mayaguez | — | 34 | 30 | 3 | 0 | 0 | 1 | 2 | 7 | 0 | 0 | 1 | 100 | 156 | 200 | 356 | 100 | 91 | 21 | 6 | 155 | -9 | — | — | — | — | — | — |
| 2011 | 21 | A | Beloit Snappers | — | 514 | 468 | 112 | 33 | 4 | 10 | 37 | 96 | 2 | 7 | 5 | 239 | 298 | 391 | 689 | 152 | 277 | 19 | 7 | 303 | 47 | — | — | — | — | — | — |
| 2011 | 21 | INTL | Indios de Mayaguez | — | 61 | 57 | 14 | 6 | 0 | 1 | 1 | 15 | 0 | 0 | 1 | 246 | 259 | 404 | 662 | 158 | 295 | 25 | 2 | 276 | 73 | — | — | — | — | — | — |
| 2012 | 22 | A+ | Fort Myers Miracle | — | 405 | 375 | 101 | 24 | 5 | 8 | 22 | 67 | 3 | 4 | 4 | 269 | 315 | 424 | 739 | 155 | 308 | 17 | 5 | 323 | 62 | — | — | — | — | — | — |
| 2012 | 22 | A | Beloit Snappers | — | 94 | 87 | 26 | 4 | 0 | 2 | 4 | 15 | 1 | 3 | 4 | 299 | 337 | 414 | 751 | 115 | 343 | 16 | 4 | 329 | 81 | — | — | — | — | — | — |
| 2012 | 22 | INTL | Puerto Rico | — | 166 | 149 | 48 | 11 | 0 | 1 | 10 | 25 | 2 | 1 | 0 | 322 | 373 | 416 | 789 | 94 | 376 | 15 | 6 | 345 | 119 | — | — | — | — | — | — |
| 2013 | 23 | AA | New Britain Rock Cats | — | 520 | 483 | 125 | 27 | 4 | 12 | 27 | 87 | 4 | 1 | 4 | 259 | 304 | 406 | 709 | 147 | 291 | 17 | 5 | 312 | 72 | — | — | — | — | — | — |
| 2013 | 23 | INTL | Puerto Rico | — | 151 | 143 | 31 | 4 | 0 | 1 | 7 | 25 | 0 | 1 | 4 | 217 | 253 | 266 | 519 | 49 | 254 | 17 | 5 | 236 | 46 | — | — | — | — | — | — |
| 2014 | 24 | AAA | Rochester Red Wings | — | 254 | 242 | 62 | 13 | 3 | 8 | 9 | 51 | 1 | 0 | 0 | 256 | 286 | 434 | 720 | 178 | 292 | 20 | 4 | 313 | 65 | — | — | — | — | — | — |
| 2014 | 24 | AA | New Britain Rock Cats | — | 189 | 182 | 59 | 16 | 2 | 4 | 4 | 34 | 1 | 3 | 1 | 324 | 342 | 500 | 842 | 176 | 379 | 18 | 2 | 366 | 95 | — | — | — | — | — | — |
| 2014 | 24 | INTL | Puerto Rico | — | 165 | 156 | 43 | 13 | 2 | 5 | 4 | 35 | 1 | 0 | 1 | 276 | 298 | 481 | 779 | 205 | 322 | 21 | 2 | 331 | 110 | — | — | — | — | — | — |
| 2015 | 25 | AAA | Rochester Red Wings | — | 526 | 484 | 120 | 31 | 3 | 17 | 33 | 105 | 2 | 4 | 1 | 248 | 299 | 430 | 728 | 182 | 280 | 20 | 6 | 317 | 71 | — | — | — | — | — | — |
| 2015 | 25 | INTL | Puerto Rico | — | 171 | 151 | 35 | 6 | 2 | 0 | 16 | 24 | 2 | 2 | 1 | 232 | 314 | 298 | 612 | 66 | 273 | 14 | 9 | 281 | 76 | — | — | — | — | — | — |
| 2016 | 26 | AAA | Indianapolis Indians | — | 470 | 436 | 103 | 19 | 4 | 17 | 25 | 91 | 1 | 6 | 8 | 236 | 279 | 415 | 694 | 179 | 257 | 19 | 5 | 301 | 62 | — | — | — | — | — | — |
| 2016 | 26 | INTL | Indios de Mayaguez | — | 157 | 144 | 49 | 3 | 2 | 2 | 11 | 12 | 0 | 0 | 3 | 340 | 387 | 431 | 818 | 90 | 356 | 8 | 7 | 363 | 132 | — | — | — | — | — | — |
| 2017 | 27 | AAA | Indianapolis Indians | — | 441 | 411 | 111 | 30 | 1 | 15 | 19 | 80 | 3 | 5 | 2 | 270 | 307 | 457 | 765 | 187 | 298 | 18 | 4 | 330 | 82 | — | — | — | — | — | — |
| 2017 | 27 | INTL | Indios de Mayaguez | — | 86 | 79 | 8 | 2 | 0 | 0 | 5 | 13 | 1 | 0 | 0 | 101 | 165 | 127 | 291 | 25 | 119 | 15 | 6 | 142 | -18 | — | — | — | — | — | — |
| 2018 | 28 | AAA | Lehigh Valley IronPigs | — | 418 | 392 | 91 | 20 | 0 | 15 | 19 | 101 | 3 | 0 | 1 | 232 | 273 | 398 | 671 | 166 | 271 | 24 | 5 | 294 | 45 | — | — | — | — | — | — |
| 2018 | 28 | INTL | Puerto Rico | — | 125 | 115 | 25 | 6 | 0 | 3 | 7 | 25 | 0 | 0 | 0 | 217 | 262 | 348 | 610 | 130 | 244 | 20 | 6 | 266 | 66 | — | — | — | — | — | — |
| 2019 | 29 | AAA | Pericos de Puebla | — | 530 | 462 | 144 | 30 | 1 | 42 | 51 | 104 | 8 | 1 | 3 | 312 | 390 | 654 | 1.043 | 342 | 314 | 20 | 10 | 440 | 101 | — | — | — | — | — | — |
| 2019 | 29 | INTL | Indios de Mayaguez | — | 122 | 110 | 25 | 7 | 0 | 1 | 9 | 10 | 2 | 0 | 0 | 227 | 298 | 318 | 616 | 91 | 240 | 8 | 7 | 280 | 76 | — | — | — | — | — | — |
| 2020 | 30 | INTL | Indios de Mayaguez | — | 143 | 116 | 37 | 9 | 0 | 5 | 23 | 14 | 2 | 0 | 0 | 319 | 440 | 526 | 966 | 207 | 323 | 10 | 16 | 422 | 171 | — | — | — | — | — | — |
| 2021 | 31 | INTL | Puerto Rico | — | 250 | 228 | 61 | 20 | 0 | 14 | 17 | 59 | 3 | 3 | 2 | 268 | 327 | 539 | 866 | 272 | 299 | 24 | 7 | 373 | 139 | — | — | — | — | — | — |
| 2022 | 32 | INTL | Puerto Rico | — | 287 | 262 | 65 | 16 | 0 | 7 | 18 | 64 | 1 | 1 | 1 | 248 | 299 | 389 | 688 | 141 | 294 | 22 | 6 | 301 | 90 | — | — | — | — | — | — |
| 2023 | 33 | INTL | Puerto Rico | — | 189 | 169 | 40 | 4 | 0 | 3 | 15 | 40 | 2 | 1 | 0 | 237 | 306 | 314 | 620 | 77 | 287 | 21 | 8 | 281 | 77 | — | — | — | — | — | — |
| 2024 | 34 | INTL | Puerto Rico | — | 249 | 223 | 54 | 9 | 0 | 8 | 23 | 61 | 0 | 0 | 0 | 242 | 313 | 390 | 703 | 148 | 295 | 24 | 9 | 312 | 97 | — | — | — | — | — | — |
| 2025 | 35 | INTL | Indios de Mayaguez | — | 147 | 130 | 26 | 6 | 0 | 0 | 13 | 29 | 2 | 2 | 2 | 200 | 283 | 246 | 529 | 46 | 255 | 20 | 9 | 247 | 53 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2008 | 18 | ROK MLE | GCL Twins | — | 205 | 191 | 41 | 8 | 4 | 2 | 6 | 43 | 5 | 4 | 0 | 215 | 257 | 330 | 587 | 115 | 250 | 21 | 3 | 242 | 50 | — | — | — | — | — | — |
| 2010 | 20 | ROK MLE | Elizabethton Twins | — | 261 | 244 | 44 | 10 | 3 | 8 | 9 | 85 | 2 | 1 | 0 | 180 | 216 | 344 | 560 | 164 | 220 | 33 | 3 | 238 | 47 | — | — | — | — | — | — |
| 2011 | 21 | A MLE | Beloit Snappers | — | 514 | 479 | 94 | 24 | 4 | 7 | 26 | 130 | 2 | 7 | 5 | 196 | 241 | 307 | 548 | 111 | 243 | 25 | 5 | 237 | 47 | — | — | — | — | — | — |
| 2012 | 22 | A+ MLE | Fort Myers Miracle | — | 405 | 381 | 83 | 21 | 4 | 7 | 16 | 100 | 3 | 4 | 4 | 218 | 255 | 349 | 604 | 131 | 269 | 25 | 4 | 260 | 62 | — | — | — | — | — | — |
| 2012 | 22 | A MLE | Beloit Snappers | — | 94 | 88 | 24 | 3 | 0 | 1 | 3 | 20 | 1 | 3 | 4 | 273 | 304 | 341 | 645 | 68 | 336 | 21 | 3 | 288 | 81 | — | — | — | — | — | — |
| 2013 | 23 | AA MLE | New Britain Rock Cats | — | 520 | 491 | 117 | 24 | 4 | 11 | 19 | 104 | 4 | 1 | 4 | 238 | 272 | 371 | 643 | 132 | 273 | 20 | 4 | 274 | 72 | — | — | — | — | — | — |
| 2014 | 24 | AAA MLE | Rochester Red Wings | — | 254 | 245 | 55 | 10 | 3 | 6 | 6 | 61 | 1 | 0 | 0 | 224 | 246 | 363 | 609 | 139 | 270 | 24 | 2 | 265 | 65 | — | — | — | — | — | — |
| 2014 | 24 | AA MLE | New Britain Rock Cats | — | 189 | 184 | 53 | 13 | 2 | 3 | 2 | 42 | 1 | 3 | 1 | 288 | 299 | 429 | 729 | 141 | 348 | 22 | 1 | 309 | 95 | — | — | — | — | — | — |
| 2015 | 25 | AAA MLE | Rochester Red Wings | — | 526 | 494 | 108 | 26 | 3 | 15 | 23 | 123 | 2 | 4 | 1 | 219 | 256 | 374 | 631 | 156 | 252 | 23 | 4 | 273 | 71 | — | — | — | — | — | — |
| 2016 | 26 | AAA MLE | Indianapolis Indians | — | 470 | 447 | 94 | 16 | 4 | 16 | 14 | 108 | 1 | 6 | 8 | 210 | 236 | 371 | 607 | 161 | 231 | 23 | 3 | 260 | 62 | — | — | — | — | — | — |
| 2017 | 27 | AAA MLE | Indianapolis Indians | — | 441 | 420 | 101 | 23 | 1 | 15 | 10 | 93 | 3 | 5 | 2 | 240 | 263 | 407 | 670 | 167 | 266 | 21 | 2 | 289 | 82 | — | — | — | — | — | — |
| 2018 | 28 | AAA MLE | Lehigh Valley IronPigs | — | 418 | 398 | 75 | 16 | 0 | 12 | 13 | 126 | 3 | 0 | 1 | 188 | 220 | 319 | 539 | 131 | 235 | 30 | 3 | 235 | 45 | — | — | — | — | — | — |
| 2019 | 29 | AAA MLE | Pericos de Puebla | — | 530 | 482 | 113 | 24 | 1 | 26 | 31 | 129 | 8 | 1 | 3 | 234 | 292 | 450 | 742 | 216 | 252 | 24 | 6 | 317 | 101 | — | — | — | — | — | — |
| 2008 | 18 | ROK MLE | GCL Twins | — | 205 | 191 | 41 | 8 | 4 | 2 | 6 | 43 | 5 | 4 | 0 | 215 | 257 | 330 | 587 | 115 | 264 | 21 | 3 | 242 | 50 | — | — | — | — | — | — |
| 2008 | 18 | ROK RAW | GCL Twins | — | 205 | 186 | 51 | 11 | 5 | 2 | 11 | 30 | 5 | 4 | 0 | 274 | 332 | 419 | 751 | 145 | 314 | 15 | 5 | 330 | 50 | — | — | — | — | — | — |
| 2010 | 20 | ROK MLE | 2 teams | — | 295 | 275 | 50 | 12 | 3 | 9 | 10 | 96 | 2 | 1 | 1 | 182 | 216 | 345 | 561 | 164 | 233 | 33 | 3 | 238 | 47 | — | — | — | — | — | — |
| 2010 | 20 | ROK RAW | 2 teams | — | 295 | 269 | 65 | 16 | 4 | 12 | 16 | 67 | 2 | 1 | 1 | 242 | 289 | 465 | 754 | 223 | 270 | 23 | 5 | 320 | 47 | — | — | — | — | — | — |
| 2011 | 21 | A MLE | 2 teams | — | 575 | 534 | 105 | 27 | 4 | 8 | 29 | 145 | 2 | 7 | 6 | 197 | 241 | 307 | 548 | 110 | 249 | 25 | 5 | 237 | 47 | — | — | — | — | — | — |
| 2011 | 21 | A RAW | 2 teams | — | 575 | 525 | 126 | 39 | 4 | 11 | 38 | 111 | 2 | 7 | 6 | 240 | 294 | 392 | 686 | 152 | 279 | 19 | 7 | 300 | 47 | — | — | — | — | — | — |
| 2012 | 22 | A+ MLE | 3 teams | — | 665 | 622 | 143 | 33 | 5 | 11 | 25 | 160 | 6 | 8 | 8 | 230 | 266 | 352 | 619 | 122 | 290 | 24 | 4 | 265 | 66 | — | — | — | — | — | — |
| 2012 | 22 | A+ RAW | 3 teams | — | 665 | 611 | 175 | 39 | 5 | 11 | 36 | 107 | 6 | 8 | 8 | 286 | 332 | 421 | 753 | 134 | 330 | 16 | 5 | 330 | 66 | — | — | — | — | — | — |
| 2013 | 23 | AA MLE | 2 teams | — | 671 | 636 | 150 | 30 | 5 | 14 | 24 | 134 | 4 | 2 | 8 | 236 | 268 | 365 | 633 | 129 | 276 | 20 | 4 | 274 | 72 | — | — | — | — | — | — |
| 2013 | 23 | AA RAW | 2 teams | — | 671 | 626 | 156 | 31 | 4 | 13 | 34 | 112 | 4 | 2 | 8 | 249 | 292 | 374 | 666 | 125 | 283 | 17 | 5 | 295 | 72 | — | — | — | — | — | — |
| 2014 | 24 | AAA MLE | 3 teams | — | 608 | 586 | 148 | 32 | 7 | 13 | 11 | 141 | 3 | 3 | 2 | 253 | 270 | 398 | 668 | 145 | 309 | 23 | 2 | 284 | 78 | — | — | — | — | — | — |
| 2014 | 24 | AAA RAW | 3 teams | — | 608 | 580 | 164 | 42 | 7 | 17 | 17 | 120 | 3 | 3 | 2 | 283 | 307 | 467 | 774 | 184 | 328 | 20 | 3 | 334 | 78 | — | — | — | — | — | — |
| 2015 | 25 | AAA MLE | 2 teams | — | 697 | 653 | 143 | 34 | 4 | 20 | 31 | 162 | 4 | 6 | 2 | 219 | 259 | 375 | 634 | 156 | 257 | 23 | 4 | 273 | 71 | — | — | — | — | — | — |
| 2015 | 25 | AAA RAW | 2 teams | — | 697 | 635 | 155 | 37 | 5 | 17 | 49 | 129 | 4 | 6 | 2 | 244 | 302 | 398 | 701 | 154 | 278 | 19 | 7 | 308 | 71 | — | — | — | — | — | — |
| 2016 | 26 | AAA MLE | 2 teams | — | 627 | 597 | 126 | 21 | 6 | 21 | 19 | 144 | 1 | 6 | 11 | 211 | 237 | 372 | 608 | 161 | 238 | 23 | 3 | 260 | 62 | — | — | — | — | — | — |
| 2016 | 26 | AAA RAW | 2 teams | — | 627 | 580 | 152 | 22 | 6 | 19 | 36 | 103 | 1 | 6 | 11 | 262 | 306 | 419 | 725 | 157 | 285 | 16 | 6 | 316 | 62 | — | — | — | — | — | — |
| 2017 | 27 | AAA MLE | 2 teams | — | 527 | 502 | 122 | 28 | 1 | 18 | 12 | 111 | 4 | 5 | 2 | 243 | 266 | 410 | 677 | 167 | 274 | 21 | 2 | 289 | 82 | — | — | — | — | — | — |
| 2017 | 27 | AAA RAW | 2 teams | — | 527 | 490 | 119 | 32 | 1 | 15 | 24 | 93 | 4 | 5 | 2 | 243 | 284 | 404 | 688 | 161 | 267 | 18 | 5 | 300 | 82 | — | — | — | — | — | — |
| 2018 | 28 | AAA MLE | 2 teams | — | 543 | 516 | 97 | 20 | 0 | 16 | 17 | 163 | 3 | 0 | 1 | 188 | 218 | 320 | 538 | 132 | 235 | 30 | 3 | 235 | 45 | — | — | — | — | — | — |
| 2018 | 28 | AAA RAW | 2 teams | — | 543 | 507 | 116 | 26 | 0 | 18 | 26 | 126 | 3 | 0 | 1 | 229 | 271 | 387 | 657 | 158 | 265 | 23 | 5 | 288 | 45 | — | — | — | — | — | — |
| 2019 | 29 | AAA MLE | 2 teams | — | 652 | 594 | 139 | 30 | 1 | 32 | 38 | 158 | 10 | 1 | 3 | 234 | 291 | 449 | 741 | 215 | 258 | 24 | 6 | 317 | 101 | — | — | — | — | — | — |
| 2019 | 29 | AAA RAW | 2 teams | — | 652 | 572 | 169 | 37 | 1 | 43 | 60 | 114 | 10 | 1 | 3 | 295 | 372 | 589 | 961 | 294 | 296 | 17 | 9 | 410 | 101 | — | — | — | — | — | — |
| 2020 | 30 | INTL MLE | Indios de Mayaguez | — | 143 | 116 | 37 | 9 | 0 | 5 | 23 | 14 | 2 | 0 | 0 | 319 | 440 | 526 | 966 | 207 | 323 | 10 | 16 | — | — | — | — | — | — | — | — |
| 2020 | 30 | INTL RAW | Indios de Mayaguez | — | 143 | 116 | 37 | 9 | 0 | 5 | 23 | 14 | 2 | 0 | 0 | 319 | 440 | 526 | 966 | 207 | 323 | 10 | 16 | 422 | 171 | — | — | — | — | — | — |
| 2021 | 31 | INTL MLE | Puerto Rico | — | 250 | 228 | 61 | 20 | 0 | 14 | 17 | 59 | 3 | 3 | 2 | 268 | 327 | 539 | 866 | 272 | 299 | 24 | 7 | — | — | — | — | — | — | — | — |
| 2021 | 31 | INTL RAW | Puerto Rico | — | 250 | 228 | 61 | 20 | 0 | 14 | 17 | 59 | 3 | 3 | 2 | 268 | 327 | 539 | 866 | 272 | 299 | 24 | 7 | 373 | 139 | — | — | — | — | — | — |
| 2022 | 32 | INTL MLE | Puerto Rico | — | 287 | 262 | 65 | 16 | 0 | 7 | 18 | 64 | 1 | 1 | 1 | 248 | 299 | 389 | 688 | 141 | 294 | 22 | 6 | — | — | — | — | — | — | — | — |
| 2022 | 32 | INTL RAW | Puerto Rico | — | 287 | 262 | 65 | 16 | 0 | 7 | 18 | 64 | 1 | 1 | 1 | 248 | 299 | 389 | 688 | 141 | 294 | 22 | 6 | 301 | 90 | — | — | — | — | — | — |
| 2023 | 33 | INTL MLE | Puerto Rico | — | 189 | 169 | 40 | 4 | 0 | 3 | 15 | 40 | 2 | 1 | 0 | 237 | 306 | 314 | 620 | 77 | 287 | 21 | 8 | — | — | — | — | — | — | — | — |
| 2023 | 33 | INTL RAW | Puerto Rico | — | 189 | 169 | 40 | 4 | 0 | 3 | 15 | 40 | 2 | 1 | 0 | 237 | 306 | 314 | 620 | 77 | 287 | 21 | 8 | 281 | 77 | — | — | — | — | — | — |
| 2024 | 34 | INTL MLE | Puerto Rico | — | 249 | 223 | 54 | 9 | 0 | 8 | 23 | 61 | 0 | 0 | 0 | 242 | 313 | 390 | 703 | 148 | 295 | 24 | 9 | — | — | — | — | — | — | — | — |
| 2024 | 34 | INTL RAW | Puerto Rico | — | 249 | 223 | 54 | 9 | 0 | 8 | 23 | 61 | 0 | 0 | 0 | 242 | 313 | 390 | 703 | 148 | 295 | 24 | 9 | 312 | 97 | — | — | — | — | — | — |
| 2025 | 35 | INTL MLE | Indios de Mayaguez | — | 147 | 130 | 26 | 6 | 0 | 0 | 13 | 29 | 2 | 2 | 2 | 200 | 283 | 246 | 529 | 46 | 255 | 20 | 9 | — | — | — | — | — | — | — | — |
| 2025 | 35 | INTL RAW | Indios de Mayaguez | — | 147 | 130 | 26 | 6 | 0 | 0 | 13 | 29 | 2 | 2 | 2 | 200 | 283 | 246 | 529 | 46 | 255 | 20 | 9 | 247 | 53 | — | — | — | — | — | — |
| 2008 | 18 | ROK MLE | GCL Twins | — | 205 | 192 | 41 | 8 | 4 | 2 | 6 | 43 | 5 | 4 | 0 | 214 | 257 | 328 | 586 | 115 | 250 | 21 | 3 | 242 | 50 | — | — | — | — | — | — |
| 2010 | 20 | ROK MLE | 2 teams | — | 295 | 281 | 50 | 12 | 3 | 9 | 10 | 96 | 2 | 1 | 1 | 178 | 216 | 338 | 554 | 160 | 220 | 33 | 3 | 238 | 47 | — | — | — | — | — | — |
| 2011 | 21 | A MLE | 2 teams | — | 575 | 539 | 105 | 27 | 4 | 8 | 29 | 145 | 2 | 7 | 6 | 195 | 241 | 304 | 545 | 109 | 243 | 25 | 5 | 237 | 47 | — | — | — | — | — | — |
| 2012 | 22 | A+ MLE | 3 teams | — | 665 | 629 | 143 | 33 | 5 | 11 | 25 | 160 | 6 | 8 | 8 | 227 | 266 | 348 | 615 | 121 | 282 | 24 | 4 | 265 | 66 | — | — | — | — | — | — |
| 2013 | 23 | AA MLE | 2 teams | — | 671 | 638 | 150 | 30 | 5 | 14 | 24 | 134 | 4 | 2 | 8 | 235 | 268 | 364 | 632 | 129 | 273 | 20 | 4 | 274 | 72 | — | — | — | — | — | — |
| 2014 | 24 | AAA MLE | 3 teams | — | 608 | 589 | 148 | 32 | 7 | 13 | 11 | 141 | 3 | 3 | 2 | 251 | 270 | 396 | 666 | 144 | 303 | 23 | 2 | 284 | 78 | — | — | — | — | — | — |
| 2015 | 25 | AAA MLE | 2 teams | — | 697 | 657 | 143 | 34 | 4 | 20 | 31 | 162 | 4 | 6 | 2 | 218 | 259 | 373 | 632 | 155 | 252 | 23 | 4 | 273 | 71 | — | — | — | — | — | — |
| 2016 | 26 | AAA MLE | 2 teams | — | 627 | 602 | 126 | 21 | 6 | 21 | 19 | 144 | 1 | 6 | 11 | 209 | 237 | 369 | 605 | 159 | 231 | 23 | 3 | 260 | 62 | — | — | — | — | — | — |
| 2017 | 27 | AAA MLE | 2 teams | — | 527 | 506 | 122 | 28 | 1 | 18 | 12 | 111 | 4 | 5 | 2 | 241 | 266 | 407 | 674 | 166 | 266 | 21 | 2 | 289 | 82 | — | — | — | — | — | — |
| 2018 | 28 | AAA MLE | 2 teams | — | 543 | 518 | 97 | 20 | 0 | 16 | 17 | 163 | 3 | 0 | 1 | 187 | 218 | 319 | 537 | 131 | 235 | 30 | 3 | 235 | 45 | — | — | — | — | — | — |
| 2019 | 29 | AAA MLE | 2 teams | — | 652 | 599 | 139 | 30 | 1 | 32 | 38 | 158 | 10 | 1 | 3 | 232 | 291 | 446 | 737 | 214 | 252 | 24 | 6 | 317 | 101 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 7330 | 6834 | 1547 | 339 | 40 | 201 | 331 | 1724 | 54 | 50 | 49 | 226 | 268 | 376 | 644 | 150 | 269 | 24 | 5 | 222 | 37 | -554 | -10 | -0 | -79 | +159 | -49.3 | |
| / 162G | — | MLE | — | 650 | 606 | 138 | 30 | 4 | 18 | 29 | 153 | 5 | 4 | 4 | 228 | 269 | 380 | 648 | 152 | 271 | 24 | 4 | 222 | 37 | -49 | -1 | -0 | -7 | +14 | -4.4 | |
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.
2019 AAAPericos de Puebla · 530 PAwOBA .433 → .317 (−116)K% 19.6% → 24.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.62% | ÷0.970 | ×1.200 | — | — | 24.27% |
| BB% (unintentional) /PA | 8.87% | ÷1.043 | ×0.690 | — | ×0.982 | 5.76% |
| HBP% /PA | 1.51% | — | ×0.940 | — | ×0.982 | 1.39% |
| Singles /BIP | 19.83% | ÷1.008 | ×0.930 | ×0.950 | ×0.982 | 17.06% |
| Doubles /BIP | 8.38% | ÷0.964 | ×0.830 | ×0.950 | ×0.982 | 6.73% |
| Triples /BIP | 0.28% | ÷1.150 | ×0.920 | ×0.950 | ×0.982 | 0.21% |
| Home runs /BIP | 11.73% | ÷1.144 | ×0.700 | — | ×0.982 | 7.05% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 129, 1B 102, 2B 93, 3B 130, K 94, BB 109 — 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 ×0.950.
Result: wOBA .433 → .317; ISO .342 → .223; BABIP .314 → .252. 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 AAALehigh Valley IronPigs · 418 PAwOBA .288 → .235 (−53)K% 24.2% → 30.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.16% | ÷0.962 | ×1.200 | — | — | 30.13% |
| BB% (unintentional) /PA | 4.31% | ÷0.932 | ×0.690 | — | ×0.992 | 3.16% |
| HBP% /PA | 0.72% | — | ×0.940 | — | ×0.992 | 0.67% |
| Singles /BIP | 19.24% | ÷1.000 | ×0.930 | ×0.965 | ×0.992 | 17.13% |
| Doubles /BIP | 6.87% | ÷0.971 | ×0.830 | ×0.965 | ×0.992 | 5.62% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×0.965 | ×0.992 | 0.00% |
| Home runs /BIP | 5.15% | ÷0.954 | ×0.840 | — | ×0.992 | 4.50% |
Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 100, 2B 94, 3B 80, K 92, BB 86 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.
Result: wOBA .288 → .235; ISO .166 → .135; BABIP .271 → .235. 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 AAAIndianapolis Indians · 441 PAwOBA .321 → .289 (−31)K% 18.1% → 21.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.14% | ÷1.030 | ×1.200 | — | — | 21.14% |
| BB% (unintentional) /PA | 3.17% | ÷0.952 | ×0.690 | — | ×1.003 | 2.31% |
| HBP% /PA | 0.68% | — | ×0.940 | — | ×1.003 | 0.64% |
| Singles /BIP | 19.64% | ÷0.950 | ×0.930 | ×0.966 | ×1.003 | 18.64% |
| Doubles /BIP | 9.06% | ÷1.046 | ×0.830 | ×0.966 | ×1.003 | 6.97% |
| Triples /BIP | 0.30% | ÷1.150 | ×0.970 | ×0.966 | ×1.003 | 0.25% |
| Home runs /BIP | 4.53% | ÷0.850 | ×0.840 | — | ×1.003 | 4.49% |
Factors used: league row IL. Park (home-season share, regressed): HR 70, 1B 90, 2B 109, 3B 130, K 106, BB 90 — 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 ×0.966.
Result: wOBA .321 → .289; ISO .187 → .171; BABIP .298 → .266. 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 AAAIndianapolis Indians · 470 PAwOBA .293 → .260 (−34)K% 19.4% → 22.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.36% | ÷1.015 | ×1.200 | — | — | 22.90% |
| BB% (unintentional) /PA | 4.47% | ÷1.054 | ×0.690 | — | ×1.018 | 2.98% |
| HBP% /PA | 0.21% | — | ×0.940 | — | ×1.018 | 0.20% |
| Singles /BIP | 18.26% | ÷0.998 | ×0.930 | ×0.969 | ×1.018 | 16.80% |
| Doubles /BIP | 5.51% | ÷1.010 | ×0.830 | ×0.969 | ×1.018 | 4.47% |
| Triples /BIP | 1.16% | ÷0.900 | ×0.970 | ×0.969 | ×1.018 | 1.23% |
| Home runs /BIP | 4.93% | ÷0.933 | ×0.840 | — | ×1.018 | 4.52% |
Factors used: league row IL. Park (home-season share, regressed): HR 87, 1B 100, 2B 102, 3B 80, K 103, BB 111 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.
Result: wOBA .293 → .260; ISO .179 → .163; BABIP .257 → .231. 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 AAARochester Red Wings · 526 PAwOBA .311 → .273 (−39)K% 20.0% → 23.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.96% | ÷1.030 | ×1.200 | — | — | 23.25% |
| BB% (unintentional) /PA | 6.08% | ÷0.980 | ×0.690 | — | ×1.033 | 4.42% |
| HBP% /PA | 0.38% | — | ×0.940 | — | ×1.033 | 0.37% |
| Singles /BIP | 18.21% | ÷0.979 | ×0.930 | ×0.950 | ×1.033 | 16.97% |
| Doubles /BIP | 8.18% | ÷0.987 | ×0.830 | ×0.950 | ×1.033 | 6.75% |
| Triples /BIP | 0.79% | ÷0.932 | ×0.970 | ×0.950 | ×1.033 | 0.81% |
| Home runs /BIP | 4.49% | ÷0.956 | ×0.840 | — | ×1.033 | 4.07% |
Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 96, 2B 97, 3B 86, K 106, BB 96 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .311 → .273; ISO .182 → .161; BABIP .280 → .252. 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 AAARochester Red Wings · 254 PAwOBA .307 → .265 (−42)K% 20.1% → 24.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.08% | ÷1.002 | ×1.200 | — | — | 24.05% |
| BB% (unintentional) /PA | 3.54% | ÷1.125 | ×0.690 | — | ×1.048 | 2.28% |
| HBP% /PA | 0.39% | — | ×0.940 | — | ×1.048 | 0.39% |
| Singles /BIP | 19.90% | ÷1.010 | ×0.930 | ×0.994 | ×1.048 | 19.09% |
| Doubles /BIP | 6.81% | ÷1.059 | ×0.830 | ×0.994 | ×1.048 | 5.56% |
| Triples /BIP | 1.57% | ÷0.900 | ×0.970 | ×0.994 | ×1.048 | 1.76% |
| Home runs /BIP | 4.19% | ÷1.075 | ×0.840 | — | ×1.048 | 3.43% |
Factors used: league row IL. Park (home-season share, regressed): HR 115, 1B 102, 2B 112, 3B 80, K 100, BB 125 — 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 ×0.994.
Result: wOBA .307 → .265; ISO .178 → .149; BABIP .292 → .270. 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 AANew Britain Rock Cats · 189 PAwOBA .357 → .309 (−48)K% 18.0% → 22.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.99% | ÷0.989 | ×1.220 | — | — | 22.20% |
| BB% (unintentional) /PA | 2.12% | ÷1.155 | ×0.700 | — | ×1.012 | 1.30% |
| HBP% /PA | 0.53% | — | ×0.850 | — | ×1.012 | 0.46% |
| Singles /BIP | 25.00% | ÷0.967 | ×0.970 | ×0.950 | ×1.012 | 24.12% |
| Doubles /BIP | 10.81% | ÷0.999 | ×0.860 | ×0.950 | ×1.012 | 8.95% |
| Triples /BIP | 1.35% | ÷1.011 | ×0.950 | ×0.950 | ×1.012 | 1.22% |
| Home runs /BIP | 2.70% | ÷0.956 | ×0.780 | — | ×1.012 | 2.23% |
Factors used: league row EL. Park (home-season share, regressed): HR 91, 1B 93, 2B 100, 3B 102, K 98, BB 131 — 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 ×0.950.
Result: wOBA .357 → .309; ISO .176 → .143; BABIP .379 → .348. 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 AANew Britain Rock Cats · 520 PAwOBA .305 → .274 (−31)K% 16.7% → 20.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.73% | ÷1.020 | ×1.220 | — | — | 20.01% |
| BB% (unintentional) /PA | 5.00% | ÷1.011 | ×0.700 | — | ×1.027 | 3.56% |
| HBP% /PA | 0.77% | — | ×0.850 | — | ×1.027 | 0.67% |
| Singles /BIP | 20.71% | ÷0.995 | ×0.970 | ×0.955 | ×1.027 | 19.79% |
| Doubles /BIP | 6.82% | ÷0.963 | ×0.860 | ×0.955 | ×1.027 | 5.97% |
| Triples /BIP | 1.01% | ÷0.900 | ×0.950 | ×0.955 | ×1.027 | 1.05% |
| Home runs /BIP | 3.03% | ÷0.897 | ×0.780 | — | ×1.027 | 2.71% |
Factors used: league row EL. Park (home-season share, regressed): HR 79, 1B 99, 2B 93, 3B 80, K 104, BB 102 — 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 ×0.955.
Result: wOBA .305 → .274; ISO .147 → .132; BABIP .291 → .273. 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 — .