Diego Goris
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 28 | AAA/INTL2 orgs | 422 | .238/.282/.372 | 11 | 5 | 45 | — | .186/.220/.305 |
| 2021 | 30 | INTLGigantes del … | 35 | .171/.171/.343 | 1 | 0 | 36 | — | |
| 2022 | 31 | INTLGigantes del … | 23 | .048/.130/.048 | 0 | 0 | -46 | — |
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 | 17 | ROK | DSL Pirates | — | 151 | 143 | 35 | 2 | 2 | 0 | 5 | 21 | 2 | 2 | 3 | 245 | 280 | 287 | 567 | 42 | 287 | 14 | 3 | 257 | 3 | — | — | — | — | — | — |
| 2009 | 18 | ROK | DSL Pirates | — | 253 | 231 | 64 | 8 | 5 | 1 | 10 | 22 | 3 | 11 | 7 | 277 | 316 | 368 | 684 | 91 | 300 | 9 | 4 | 296 | 18 | — | — | — | — | — | — |
| 2010 | 19 | ROK | DSL Pirates | — | 182 | 171 | 53 | 7 | 1 | 5 | 9 | 19 | 0 | 6 | 6 | 310 | 344 | 450 | 795 | 140 | 324 | 10 | 5 | 349 | 33 | — | — | — | — | — | — |
| 2011 | 20 | ROK | DSL Pirates | — | 289 | 266 | 93 | 20 | 4 | 5 | 15 | 28 | 3 | 15 | 3 | 350 | 391 | 511 | 902 | 162 | 373 | 10 | 5 | 391 | 51 | — | — | — | — | — | — |
| 2012 | 21 | ROK | Idaho Falls Chukars | — | 246 | 234 | 78 | 14 | 4 | 13 | 4 | 32 | 3 | 0 | 0 | 333 | 353 | 594 | 947 | 261 | 339 | 13 | 2 | 403 | 80 | — | — | — | — | — | — |
| 2013 | 22 | A | Fort Wayne TinCaps | — | 388 | 361 | 96 | 19 | 1 | 6 | 16 | 47 | 1 | 1 | 0 | 266 | 299 | 374 | 673 | 108 | 286 | 12 | 4 | 293 | 46 | — | — | — | — | — | — |
| 2014 | 23 | AA | San Antonio Missions | — | 151 | 146 | 36 | 5 | 0 | 4 | 2 | 25 | 1 | 1 | 2 | 247 | 262 | 363 | 625 | 116 | 271 | 17 | 1 | 274 | 49 | — | — | — | — | — | — |
| 2014 | 23 | A+ | Lake Elsinore Storm | — | 392 | 370 | 120 | 27 | 2 | 13 | 14 | 74 | 2 | 5 | 0 | 324 | 352 | 514 | 866 | 189 | 370 | 19 | 4 | 374 | 107 | — | — | — | — | — | — |
| 2014 | 23 | INTL | Aguilas Cibaenas | — | 31 | 31 | 7 | 2 | 1 | 0 | 0 | 10 | 0 | 0 | 0 | 226 | 226 | 355 | 581 | 129 | 333 | 32 | 0 | 252 | 56 | — | — | — | — | — | — |
| 2015 | 24 | AAA | El Paso Chihuahuas | — | 22 | 20 | 7 | 1 | 0 | 1 | 1 | 3 | 1 | 0 | 0 | 350 | 409 | 550 | 959 | 200 | 375 | 14 | 5 | 424 | 126 | — | — | — | — | — | — |
| 2015 | 24 | AA | San Antonio Missions | — | 402 | 384 | 97 | 20 | 1 | 5 | 12 | 55 | 2 | 2 | 3 | 253 | 279 | 349 | 628 | 96 | 282 | 14 | 3 | 278 | 51 | — | — | — | — | — | — |
| 2016 | 25 | AAA | El Paso Chihuahuas | — | 296 | 273 | 71 | 11 | 1 | 7 | 14 | 49 | 1 | 0 | 2 | 260 | 299 | 385 | 683 | 125 | 294 | 17 | 5 | 297 | 51 | — | — | — | — | — | — |
| 2016 | 25 | AA | San Antonio Missions | — | 72 | 69 | 15 | 2 | 0 | 2 | 2 | 11 | 0 | 2 | 0 | 217 | 239 | 333 | 573 | 116 | 232 | 15 | 3 | 251 | 28 | — | — | — | — | — | — |
| 2017 | 26 | AAA | El Paso Chihuahuas | — | 470 | 439 | 125 | 23 | 1 | 11 | 28 | 92 | 0 | 5 | 2 | 285 | 328 | 417 | 744 | 132 | 336 | 20 | 6 | 330 | 64 | — | — | — | — | — | — |
| 2017 | 26 | INTL | Aguilas Cibaenas | — | 22 | 22 | 4 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 182 | 182 | 227 | 409 | 45 | 235 | 23 | 0 | 182 | 9 | — | — | — | — | — | — |
| 2018 | 27 | AAA | El Paso Chihuahuas | — | 342 | 325 | 86 | 20 | 1 | 7 | 16 | 77 | 0 | 4 | 2 | 265 | 299 | 397 | 696 | 132 | 328 | 23 | 5 | 309 | 42 | — | — | — | — | — | — |
| 2018 | 27 | INTL | Dominican Republic | — | 129 | 115 | 40 | 12 | 0 | 2 | 10 | 26 | 2 | 3 | 1 | 348 | 409 | 504 | 914 | 157 | 427 | 20 | 8 | 400 | 157 | — | — | — | — | — | — |
| 2019 | 28 | AAA | Guerreros de Oaxaca | — | 238 | 218 | 55 | 14 | 0 | 9 | 17 | 60 | 1 | 2 | 0 | 252 | 309 | 440 | 750 | 188 | 305 | 25 | 7 | 329 | 43 | — | — | — | — | — | — |
| 2019 | 28 | INTL | Dominican Republic | — | 184 | 177 | 39 | 6 | 0 | 2 | 6 | 44 | 0 | 3 | 1 | 220 | 246 | 288 | 534 | 68 | 282 | 24 | 3 | 240 | 48 | — | — | — | — | — | — |
| 2021 | 30 | INTL | Gigantes del Cibao | — | 35 | 35 | 6 | 3 | 0 | 1 | 0 | 8 | 0 | 0 | 0 | 171 | 171 | 343 | 514 | 171 | 192 | 23 | 0 | 221 | 36 | — | — | — | — | — | — |
| 2022 | 31 | INTL | Gigantes del Cibao | — | 23 | 21 | 1 | 0 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 48 | 130 | 48 | 178 | 83 | 39 | 9 | 100 | -46 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2008 | 17 | ROK MLE | DSL Pirates | — | 151 | 145 | 24 | 1 | 1 | 0 | 3 | 26 | 2 | 2 | 3 | 166 | 193 | 186 | 380 | 21 | 202 | 17 | 2 | 173 | 3 | — | — | — | — | — | — |
| 2009 | 18 | ROK MLE | DSL Pirates | — | 253 | 234 | 43 | 5 | 3 | 0 | 7 | 27 | 3 | 11 | 7 | 184 | 217 | 231 | 448 | 47 | 196 | 11 | 3 | 195 | 18 | — | — | — | — | — | — |
| 2010 | 19 | ROK MLE | DSL Pirates | — | 182 | 175 | 35 | 4 | 1 | 2 | 5 | 23 | 0 | 6 | 6 | 200 | 222 | 269 | 491 | 69 | 214 | 13 | 3 | 217 | 33 | — | — | — | — | — | — |
| 2011 | 20 | ROK MLE | DSL Pirates | — | 289 | 273 | 60 | 12 | 2 | 2 | 8 | 34 | 3 | 15 | 3 | 220 | 250 | 300 | 550 | 81 | 236 | 12 | 3 | 243 | 51 | — | — | — | — | — | — |
| 2012 | 21 | ROK MLE | Idaho Falls Chukars | — | 246 | 236 | 57 | 9 | 3 | 9 | 2 | 46 | 3 | 0 | 0 | 242 | 257 | 419 | 677 | 178 | 256 | 19 | 1 | 286 | 80 | — | — | — | — | — | — |
| 2013 | 22 | A MLE | Fort Wayne TinCaps | — | 388 | 369 | 81 | 13 | 1 | 5 | 8 | 65 | 1 | 1 | 0 | 220 | 238 | 301 | 539 | 81 | 240 | 17 | 2 | 236 | 46 | — | — | — | — | — | — |
| 2014 | 23 | AA MLE | San Antonio Missions | — | 151 | 147 | 33 | 4 | 0 | 3 | 1 | 32 | 1 | 1 | 2 | 224 | 235 | 313 | 548 | 88 | 265 | 21 | 1 | 241 | 49 | — | — | — | — | — | — |
| 2014 | 23 | A+ MLE | Lake Elsinore Storm | — | 392 | 374 | 107 | 22 | 2 | 13 | 10 | 98 | 2 | 5 | 0 | 286 | 308 | 460 | 768 | 174 | 342 | 25 | 3 | 327 | 107 | — | — | — | — | — | — |
| 2015 | 24 | AAA MLE | El Paso Chihuahuas | — | 22 | 20 | 6 | 1 | 0 | 1 | 1 | 4 | 1 | 0 | 0 | 300 | 364 | 500 | 864 | 200 | 337 | 18 | 5 | 355 | 126 | — | — | — | — | — | — |
| 2015 | 24 | AA MLE | San Antonio Missions | — | 402 | 388 | 89 | 17 | 1 | 4 | 8 | 70 | 2 | 2 | 3 | 229 | 249 | 309 | 558 | 80 | 265 | 17 | 2 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | El Paso Chihuahuas | — | 296 | 277 | 63 | 9 | 1 | 5 | 10 | 67 | 1 | 0 | 2 | 227 | 257 | 321 | 578 | 94 | 269 | 23 | 3 | 244 | 51 | — | — | — | — | — | — |
| 2016 | 25 | AA MLE | San Antonio Missions | — | 72 | 70 | 14 | 2 | 0 | 2 | 1 | 13 | 0 | 2 | 0 | 200 | 211 | 314 | 526 | 114 | 206 | 18 | 1 | 209 | 28 | — | — | — | — | — | — |
| 2017 | 26 | AAA MLE | El Paso Chihuahuas | — | 470 | 445 | 106 | 19 | 1 | 8 | 22 | 118 | 0 | 5 | 2 | 238 | 274 | 339 | 613 | 101 | 298 | 25 | 5 | 263 | 64 | — | — | — | — | — | — |
| 2018 | 27 | AAA MLE | El Paso Chihuahuas | — | 342 | 330 | 69 | 14 | 1 | 5 | 11 | 101 | 0 | 4 | 2 | 209 | 235 | 303 | 538 | 94 | 282 | 30 | 3 | 230 | 42 | — | — | — | — | — | — |
| 2019 | 28 | AAA MLE | Guerreros de Oaxaca | — | 238 | 226 | 42 | 9 | 0 | 6 | 9 | 72 | 1 | 2 | 0 | 186 | 220 | 305 | 526 | 119 | 235 | 30 | 4 | 232 | 43 | — | — | — | — | — | — |
| 2008 | 17 | ROK MLE | DSL Pirates | — | 151 | 145 | 24 | 1 | 1 | 0 | 3 | 26 | 2 | 2 | 3 | 166 | 193 | 186 | 380 | 21 | 202 | 17 | 2 | 173 | 3 | — | — | — | — | — | — |
| 2008 | 17 | ROK RAW | DSL Pirates | — | 151 | 143 | 35 | 2 | 2 | 0 | 5 | 21 | 2 | 2 | 3 | 245 | 280 | 287 | 567 | 42 | 287 | 14 | 3 | 257 | 3 | — | — | — | — | — | — |
| 2009 | 18 | ROK MLE | DSL Pirates | — | 253 | 234 | 43 | 5 | 3 | 0 | 7 | 27 | 3 | 11 | 7 | 184 | 217 | 231 | 448 | 47 | 206 | 11 | 3 | 195 | 18 | — | — | — | — | — | — |
| 2009 | 18 | ROK RAW | DSL Pirates | — | 253 | 231 | 64 | 8 | 5 | 1 | 10 | 22 | 3 | 11 | 7 | 277 | 316 | 368 | 684 | 91 | 300 | 9 | 4 | 296 | 18 | — | — | — | — | — | — |
| 2010 | 19 | ROK MLE | DSL Pirates | — | 182 | 175 | 35 | 4 | 1 | 2 | 5 | 23 | 0 | 6 | 6 | 200 | 222 | 269 | 491 | 69 | 219 | 13 | 3 | 217 | 33 | — | — | — | — | — | — |
| 2010 | 19 | ROK RAW | DSL Pirates | — | 182 | 171 | 53 | 7 | 1 | 5 | 9 | 19 | 0 | 6 | 6 | 310 | 344 | 450 | 795 | 140 | 324 | 10 | 5 | 349 | 33 | — | — | — | — | — | — |
| 2011 | 20 | ROK MLE | DSL Pirates | — | 289 | 273 | 60 | 12 | 2 | 2 | 8 | 34 | 3 | 15 | 3 | 220 | 250 | 300 | 550 | 81 | 242 | 12 | 3 | 243 | 51 | — | — | — | — | — | — |
| 2011 | 20 | ROK RAW | DSL Pirates | — | 289 | 266 | 93 | 20 | 4 | 5 | 15 | 28 | 3 | 15 | 3 | 350 | 391 | 511 | 902 | 162 | 373 | 10 | 5 | 391 | 51 | — | — | — | — | — | — |
| 2012 | 21 | ROK MLE | Idaho Falls Chukars | — | 246 | 236 | 57 | 9 | 3 | 9 | 2 | 46 | 3 | 0 | 0 | 242 | 257 | 419 | 677 | 178 | 261 | 19 | 1 | 286 | 80 | — | — | — | — | — | — |
| 2012 | 21 | ROK RAW | Idaho Falls Chukars | — | 246 | 234 | 78 | 14 | 4 | 13 | 4 | 32 | 3 | 0 | 0 | 333 | 353 | 594 | 947 | 261 | 339 | 13 | 2 | 403 | 80 | — | — | — | — | — | — |
| 2013 | 22 | A MLE | Fort Wayne TinCaps | — | 388 | 369 | 81 | 13 | 1 | 5 | 8 | 65 | 1 | 1 | 0 | 220 | 238 | 301 | 539 | 81 | 248 | 17 | 2 | 236 | 46 | — | — | — | — | — | — |
| 2013 | 22 | A RAW | Fort Wayne TinCaps | — | 388 | 361 | 96 | 19 | 1 | 6 | 16 | 47 | 1 | 1 | 0 | 266 | 299 | 374 | 673 | 108 | 286 | 12 | 4 | 293 | 46 | — | — | — | — | — | — |
| 2014 | 23 | A+ MLE | 3 teams | — | 574 | 551 | 149 | 28 | 2 | 17 | 12 | 138 | 3 | 6 | 2 | 270 | 290 | 421 | 711 | 151 | 328 | 24 | 2 | 303 | 91 | — | — | — | — | — | — |
| 2014 | 23 | A+ RAW | 3 teams | — | 574 | 547 | 163 | 34 | 3 | 17 | 16 | 109 | 3 | 6 | 2 | 298 | 322 | 464 | 786 | 166 | 341 | 19 | 3 | 341 | 91 | — | — | — | — | — | — |
| 2015 | 24 | AA MLE | 2 teams | — | 424 | 409 | 95 | 18 | 1 | 5 | 8 | 74 | 3 | 2 | 3 | 232 | 252 | 318 | 570 | 86 | 271 | 17 | 2 | 249 | 55 | — | — | — | — | — | — |
| 2015 | 24 | AA RAW | 2 teams | — | 424 | 404 | 104 | 21 | 1 | 6 | 13 | 58 | 3 | 2 | 3 | 257 | 286 | 359 | 645 | 101 | 287 | 14 | 3 | 286 | 55 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | 2 teams | — | 368 | 347 | 75 | 11 | 1 | 6 | 11 | 80 | 1 | 2 | 2 | 216 | 242 | 305 | 548 | 89 | 263 | 22 | 3 | 237 | 47 | — | — | — | — | — | — |
| 2016 | 25 | AAA RAW | 2 teams | — | 368 | 342 | 86 | 13 | 1 | 9 | 16 | 60 | 1 | 2 | 2 | 251 | 287 | 374 | 661 | 123 | 281 | 16 | 4 | 288 | 47 | — | — | — | — | — | — |
| 2017 | 26 | AAA MLE | 2 teams | — | 492 | 466 | 110 | 20 | 1 | 8 | 23 | 123 | 0 | 5 | 2 | 236 | 272 | 335 | 607 | 99 | 302 | 25 | 5 | 263 | 64 | — | — | — | — | — | — |
| 2017 | 26 | AAA RAW | 2 teams | — | 492 | 461 | 129 | 24 | 1 | 11 | 28 | 97 | 0 | 5 | 2 | 280 | 321 | 408 | 729 | 128 | 331 | 20 | 6 | 323 | 64 | — | — | — | — | — | — |
| 2018 | 27 | AAA MLE | 2 teams | — | 471 | 451 | 95 | 20 | 1 | 7 | 15 | 139 | 2 | 7 | 3 | 211 | 239 | 306 | 545 | 95 | 287 | 30 | 3 | 230 | 42 | — | — | — | — | — | — |
| 2018 | 27 | AAA RAW | 2 teams | — | 471 | 440 | 126 | 32 | 1 | 9 | 26 | 103 | 2 | 7 | 3 | 286 | 329 | 425 | 754 | 139 | 355 | 22 | 6 | 333 | 42 | — | — | — | — | — | — |
| 2019 | 28 | AAA MLE | 2 teams | — | 422 | 402 | 74 | 16 | 0 | 11 | 16 | 128 | 1 | 5 | 1 | 184 | 217 | 306 | 523 | 122 | 238 | 30 | 4 | 232 | 43 | — | — | — | — | — | — |
| 2019 | 28 | AAA RAW | 2 teams | — | 422 | 395 | 94 | 20 | 0 | 11 | 23 | 104 | 1 | 5 | 1 | 238 | 282 | 372 | 654 | 134 | 294 | 25 | 5 | 290 | 43 | — | — | — | — | — | — |
| 2021 | 30 | INTL MLE | Gigantes del Cibao | — | 35 | 35 | 6 | 3 | 0 | 1 | 0 | 8 | 0 | 0 | 0 | 171 | 171 | 343 | 514 | 171 | 192 | 23 | 0 | — | — | — | — | — | — | — | — |
| 2021 | 30 | INTL RAW | Gigantes del Cibao | — | 35 | 35 | 6 | 3 | 0 | 1 | 0 | 8 | 0 | 0 | 0 | 171 | 171 | 343 | 514 | 171 | 192 | 23 | 0 | 221 | 36 | — | — | — | — | — | — |
| 2022 | 31 | INTL MLE | Gigantes del Cibao | — | 23 | 21 | 1 | 0 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 48 | 130 | 48 | 178 | 83 | 39 | 9 | — | — | — | — | — | — | — | — | |
| 2022 | 31 | INTL RAW | Gigantes del Cibao | — | 23 | 21 | 1 | 0 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 48 | 130 | 48 | 178 | 83 | 39 | 9 | 100 | -46 | — | — | — | — | — | — | |
| 2008 | 17 | ROK MLE | DSL Pirates | — | 151 | 145 | 24 | 1 | 1 | 0 | 3 | 26 | 2 | 2 | 3 | 166 | 193 | 186 | 380 | 21 | 202 | 17 | 2 | 173 | 3 | — | — | — | — | — | — |
| 2009 | 18 | ROK MLE | DSL Pirates | — | 253 | 241 | 43 | 5 | 3 | 0 | 7 | 27 | 3 | 11 | 7 | 178 | 217 | 224 | 441 | 46 | 196 | 11 | 3 | 195 | 18 | — | — | — | — | — | — |
| 2010 | 19 | ROK MLE | DSL Pirates | — | 182 | 175 | 35 | 4 | 1 | 2 | 5 | 23 | 0 | 6 | 6 | 200 | 222 | 269 | 491 | 69 | 214 | 13 | 3 | 217 | 33 | — | — | — | — | — | — |
| 2011 | 20 | ROK MLE | DSL Pirates | — | 289 | 276 | 60 | 12 | 2 | 2 | 8 | 34 | 3 | 15 | 3 | 217 | 250 | 297 | 547 | 80 | 236 | 12 | 3 | 243 | 51 | — | — | — | — | — | — |
| 2012 | 21 | ROK MLE | Idaho Falls Chukars | — | 246 | 239 | 57 | 9 | 3 | 9 | 2 | 46 | 3 | 0 | 0 | 238 | 257 | 414 | 671 | 176 | 256 | 19 | 1 | 286 | 80 | — | — | — | — | — | — |
| 2013 | 22 | A MLE | Fort Wayne TinCaps | — | 388 | 376 | 81 | 13 | 1 | 5 | 8 | 65 | 1 | 1 | 0 | 215 | 238 | 295 | 533 | 80 | 240 | 17 | 2 | 236 | 46 | — | — | — | — | — | — |
| 2014 | 23 | A+ MLE | 3 teams | — | 574 | 554 | 149 | 28 | 2 | 17 | 12 | 138 | 3 | 6 | 2 | 269 | 290 | 419 | 709 | 150 | 321 | 24 | 2 | 303 | 91 | — | — | — | — | — | — |
| 2015 | 24 | AA MLE | 2 teams | — | 424 | 410 | 95 | 18 | 1 | 5 | 8 | 74 | 3 | 2 | 3 | 232 | 252 | 317 | 569 | 85 | 269 | 17 | 2 | 249 | 55 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | 2 teams | — | 368 | 353 | 75 | 11 | 1 | 6 | 11 | 80 | 1 | 2 | 2 | 212 | 242 | 300 | 543 | 88 | 257 | 22 | 3 | 237 | 47 | — | — | — | — | — | — |
| 2017 | 26 | AAA MLE | 2 teams | — | 492 | 466 | 110 | 20 | 1 | 8 | 23 | 123 | 0 | 5 | 2 | 236 | 272 | 335 | 607 | 99 | 298 | 25 | 5 | 263 | 64 | — | — | — | — | — | — |
| 2018 | 27 | AAA MLE | 2 teams | — | 471 | 451 | 95 | 20 | 1 | 7 | 15 | 139 | 2 | 7 | 3 | 211 | 239 | 306 | 545 | 95 | 282 | 30 | 3 | 230 | 42 | — | — | — | — | — | — |
| 2019 | 28 | AAA MLE | 2 teams | — | 422 | 402 | 74 | 16 | 0 | 11 | 16 | 128 | 1 | 5 | 1 | 184 | 217 | 306 | 523 | 122 | 235 | 30 | 4 | 232 | 43 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 4318 | 4114 | 905 | 160 | 17 | 73 | 120 | 920 | 22 | 62 | 32 | 220 | 246 | 320 | 566 | 100 | 264 | 21 | 3 | 243 | 51 | -254 | -0 | +0 | +46 | +94 | -11.7 | |
| / 162G | — | MLE | — | 650 | 619 | 137 | 24 | 3 | 11 | 18 | 138 | 3 | 9 | 5 | 221 | 246 | 323 | 570 | 102 | 265 | 21 | 3 | 243 | 51 | -38 | -0 | +0 | +7 | +14 | -1.8 | |
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 AAAGuerreros de Oaxaca · 238 PAwOBA .318 → .232 (−85)K% 25.2% → 30.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.21% | ÷0.998 | ×1.200 | — | — | 30.32% |
| BB% (unintentional) /PA | 5.88% | ÷1.036 | ×0.690 | — | ×0.982 | 3.85% |
| HBP% /PA | 0.42% | — | ×0.940 | — | ×0.982 | 0.39% |
| Singles /BIP | 20.25% | ÷1.025 | ×0.930 | ×0.950 | ×0.982 | 17.14% |
| Doubles /BIP | 8.86% | ÷1.200 | ×0.830 | ×0.950 | ×0.982 | 5.72% |
| Triples /BIP | 0.00% | ÷1.058 | ×0.920 | ×0.950 | ×0.982 | 0.00% |
| Home runs /BIP | 5.70% | ÷0.972 | ×0.700 | — | ×0.982 | 4.03% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 105, 2B 140, 3B 112, K 100, BB 107 — 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 .318 → .232; ISO .188 → .127; BABIP .305 → .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).
2018 AAAEl Paso Chihuahuas · 342 PAwOBA .299 → .230 (−68)K% 22.5% → 29.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.51% | ÷0.983 | ×1.290 | — | — | 29.55% |
| BB% (unintentional) /PA | 4.39% | ÷0.986 | ×0.710 | — | ×0.992 | 3.13% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×0.992 | 0.00% |
| Singles /BIP | 23.39% | ÷1.032 | ×0.900 | ×1.044 | ×0.992 | 21.13% |
| Doubles /BIP | 8.06% | ÷1.098 | ×0.810 | ×1.044 | ×0.992 | 6.16% |
| Triples /BIP | 0.40% | ÷1.150 | ×0.810 | ×1.044 | ×0.992 | 0.29% |
| Home runs /BIP | 2.82% | ÷1.045 | ×0.780 | — | ×0.992 | 2.09% |
Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 106, 2B 120, 3B 130, K 97, BB 97 — 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 ×1.044.
Result: wOBA .299 → .230; ISO .132 → .092; BABIP .328 → .282. 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 AAAEl Paso Chihuahuas · 470 PAwOBA .323 → .263 (−60)K% 19.6% → 25.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.57% | ÷1.005 | ×1.290 | — | — | 25.13% |
| BB% (unintentional) /PA | 5.96% | ÷0.921 | ×0.710 | — | ×1.003 | 4.61% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.003 | 0.00% |
| Singles /BIP | 25.94% | ÷1.040 | ×0.900 | ×1.043 | ×1.003 | 23.49% |
| Doubles /BIP | 6.63% | ÷0.983 | ×0.810 | ×1.043 | ×1.003 | 5.71% |
| Triples /BIP | 0.29% | ÷1.049 | ×0.810 | ×1.043 | ×1.003 | 0.23% |
| Home runs /BIP | 3.17% | ÷1.087 | ×0.780 | — | ×1.003 | 2.28% |
Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 108, 2B 97, 3B 110, K 101, BB 84 — 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 ×1.043.
Result: wOBA .323 → .263; ISO .132 → .098; BABIP .336 → .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).
2016 AAAEl Paso Chihuahuas · 296 PAwOBA .290 → .244 (−46)K% 16.6% → 22.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.55% | ÷0.951 | ×1.290 | — | — | 22.46% |
| BB% (unintentional) /PA | 4.73% | ÷1.004 | ×0.710 | — | ×1.018 | 3.40% |
| HBP% /PA | 0.34% | — | ×0.980 | — | ×1.018 | 0.34% |
| Singles /BIP | 23.21% | ÷1.026 | ×0.900 | ×1.050 | ×1.018 | 21.76% |
| Doubles /BIP | 4.91% | ÷0.987 | ×0.810 | ×1.050 | ×1.018 | 4.31% |
| Triples /BIP | 0.45% | ÷1.028 | ×0.810 | ×1.050 | ×1.018 | 0.38% |
| Home runs /BIP | 3.12% | ÷1.160 | ×0.780 | — | ×1.018 | 2.14% |
Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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 ×1.050.
Result: wOBA .290 → .244; ISO .125 → .092; BABIP .294 → .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).
2016 AASan Antonio Missions · 72 PAwOBA .244 → .209 (−35)K% 15.3% → 18.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.28% | ÷1.012 | ×1.220 | — | — | 18.42% |
| BB% (unintentional) /PA | 2.78% | ÷1.016 | ×0.700 | — | ×0.988 | 1.89% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.988 | 0.00% |
| Singles /BIP | 18.97% | ÷1.015 | ×0.920 | ×1.002 | ×0.988 | 17.01% |
| Doubles /BIP | 3.45% | ÷0.951 | ×0.840 | ×1.002 | ×0.988 | 3.01% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | ×1.002 | ×0.988 | 0.00% |
| Home runs /BIP | 3.45% | ÷0.933 | ×0.800 | — | ×0.988 | 2.92% |
Factors used: league row TL. Park (home-season share, regressed): HR 87, 1B 103, 2B 90, 3B 80, K 102, BB 103 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.
Result: wOBA .244 → .209; ISO .116 → .098; BABIP .232 → .206. 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 AASan Antonio Missions · 402 PAwOBA .271 → .243 (−28)K% 13.7% → 17.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.68% | ÷0.963 | ×1.220 | — | — | 17.34% |
| BB% (unintentional) /PA | 2.74% | ÷1.010 | ×0.700 | — | ×0.998 | 1.89% |
| HBP% /PA | 0.50% | — | ×0.870 | — | ×0.998 | 0.43% |
| Singles /BIP | 21.58% | ÷0.984 | ×0.920 | ×1.028 | ×0.998 | 20.71% |
| Doubles /BIP | 6.08% | ÷0.989 | ×0.840 | ×1.028 | ×0.998 | 5.30% |
| Triples /BIP | 0.30% | ÷1.124 | ×0.940 | ×1.028 | ×0.998 | 0.26% |
| Home runs /BIP | 1.52% | ÷0.885 | ×0.800 | — | ×0.998 | 1.37% |
Factors used: league row TL. Park (home-season share, regressed): HR 77, 1B 97, 2B 98, 3B 125, K 93, BB 102 — 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 ×1.028.
Result: wOBA .271 → .243; ISO .096 → .084; BABIP .282 → .265. 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 AAAEl Paso Chihuahuas · 22 PAwOBA .412 → .355 (−57)K% 13.6% → 18.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.64% | ÷0.980 | ×1.290 | — | — | 17.96% |
| BB% (unintentional) /PA | 4.55% | ÷0.972 | ×0.710 | — | ×1.033 | 3.43% |
| HBP% /PA | 4.55% | — | ×0.980 | — | ×1.033 | 4.60% |
| Singles /BIP | 29.41% | ÷1.017 | ×0.900 | — | ×1.033 | 26.88% |
| Doubles /BIP | 5.88% | ÷0.970 | ×0.810 | — | ×1.033 | 5.07% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | — | ×1.033 | 0.00% |
| Home runs /BIP | 5.88% | ÷0.919 | ×0.780 | — | ×1.033 | 5.16% |
Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 103, 2B 94, 3B 130, K 96, BB 94 — 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).
Result: wOBA .412 → .355; ISO .200 → .167; BABIP .375 → .337. 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+Lake Elsinore Storm · 392 PAwOBA .369 → .327 (−42)K% 18.9% → 25.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.88% | ÷1.013 | ×1.340 | — | — | 24.97% |
| BB% (unintentional) /PA | 3.57% | ÷0.955 | ×0.710 | — | ×0.988 | 2.62% |
| HBP% /PA | 0.51% | — | ×0.790 | — | ×0.988 | 0.40% |
| Singles /BIP | 26.35% | ÷0.982 | ×0.910 | ×1.030 | ×0.988 | 24.86% |
| Doubles /BIP | 9.12% | ÷0.963 | ×0.820 | ×1.030 | ×0.988 | 7.91% |
| Triples /BIP | 0.68% | ÷0.900 | ×0.760 | ×1.030 | ×0.988 | 0.58% |
| Home runs /BIP | 4.39% | ÷0.875 | ×0.920 | — | ×0.988 | 4.56% |
Factors used: league row CAL. Park (home-season share, regressed): HR 75, 1B 96, 2B 93, 3B 80, K 103, BB 91 — 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 ×1.030.
Result: wOBA .369 → .327; ISO .189 → .174; BABIP .370 → .342. 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 — .