Adonis García
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 33 | INTLNavegantes de… | 39 | .282/.282/.359 | 1 | 0 | 79 | — | |
| 2019 | 34 | AAA/INTL2 orgs | 387 | .251/.337/.375 | 9 | 13 | 53 | — | .184/.241/.268 |
| 2021 | 36 | INTLBravos de Mar… | 35 | .303/.324/.455 | 1 | 0 | 112 | — |
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) | |||||||||||||||||||||||||||||||
| 2011 | 26 | INTL | Venezuela | — | 193 | 178 | 50 | 8 | 2 | 6 | 8 | 26 | 3 | 6 | 5 | 281 | 323 | 449 | 772 | 169 | 299 | 13 | 4 | 334 | 112 | — | — | — | — | — | — |
| 2012 | 27 | AA | Trenton Thunder | — | 126 | 118 | 34 | 12 | 0 | 4 | 5 | 18 | 2 | 2 | 1 | 288 | 328 | 492 | 820 | 203 | 309 | 14 | 4 | 357 | 86 | — | — | — | — | — | — |
| 2012 | 27 | A+ | Tampa Yankees | — | 115 | 106 | 25 | 7 | 1 | 1 | 9 | 18 | 0 | 0 | 2 | 236 | 296 | 349 | 645 | 113 | 276 | 16 | 8 | 291 | 39 | — | — | — | — | — | — |
| 2012 | 27 | INTL | Indios de Mayaguez | — | 166 | 154 | 45 | 9 | 1 | 6 | 4 | 24 | 4 | 3 | 2 | 292 | 327 | 481 | 808 | 188 | 305 | 14 | 2 | 347 | 121 | — | — | — | — | — | — |
| 2013 | 28 | AAA | Scranton/Wilkes-Barre RailRiders | — | 216 | 199 | 51 | 9 | 1 | 3 | 11 | 21 | 5 | 4 | 4 | 256 | 312 | 357 | 668 | 101 | 274 | 10 | 5 | 302 | 63 | — | — | — | — | — | — |
| 2013 | 28 | ROK | GCL Yankees2 | — | 19 | 18 | 5 | 0 | 0 | 1 | 0 | 3 | 0 | 0 | 0 | 278 | 278 | 444 | 722 | 167 | 267 | 16 | 0 | 300 | 40 | — | — | — | — | — | — |
| 2013 | 28 | INTL | Venezuela | — | 261 | 247 | 77 | 15 | 1 | 8 | 9 | 32 | 2 | 4 | 0 | 312 | 341 | 478 | 819 | 166 | 330 | 12 | 3 | 357 | 128 | — | — | — | — | — | — |
| 2014 | 29 | AAA | Scranton/Wilkes-Barre RailRiders | — | 368 | 342 | 109 | 20 | 3 | 9 | 17 | 51 | 4 | 11 | 3 | 319 | 358 | 474 | 832 | 155 | 348 | 14 | 5 | 363 | 97 | — | — | — | — | — | — |
| 2014 | 29 | INTL | Navegantes del Magallanes | — | 255 | 233 | 73 | 13 | 1 | 7 | 15 | 22 | 6 | 4 | 4 | 313 | 370 | 468 | 838 | 155 | 322 | 9 | 6 | 372 | 138 | — | — | — | — | — | — |
| 2015 | 30 | MLB | Atlanta Braves | — | 198 | 191 | 53 | 12 | 0 | 10 | 5 | 35 | 0 | 0 | 0 | 277 | 296 | 497 | 793 | 220 | 291 | 18 | 3 | 342 | 121 | +5 | +0 | -1 | +3 | +4 | 1.1 |
| 2015 | 30 | AAA | Gwinnett Braves | — | 350 | 331 | 94 | 17 | 1 | 3 | 15 | 41 | 1 | 5 | 1 | 284 | 317 | 369 | 686 | 85 | 314 | 12 | 4 | 306 | 56 | — | — | — | — | — | — |
| 2015 | 30 | INTL | Venezuela | — | 178 | 161 | 58 | 8 | 2 | 3 | 13 | 14 | 4 | 8 | 2 | 360 | 421 | 491 | 912 | 130 | 382 | 8 | 7 | 407 | 162 | — | — | — | — | — | — |
| 2016 | 31 | MLB | Atlanta Braves | — | 563 | 532 | 145 | 29 | 0 | 14 | 24 | 93 | 6 | 3 | 2 | 273 | 311 | 406 | 717 | 133 | 308 | 17 | 4 | 319 | 100 | -0 | -0 | -5 | +3 | +12 | 1.0 |
| 2016 | 31 | AAA | Gwinnett Braves | — | 80 | 73 | 26 | 7 | 0 | 4 | 3 | 12 | 4 | 2 | 1 | 356 | 412 | 616 | 1.029 | 260 | 386 | 15 | 4 | 449 | 122 | — | — | — | — | — | — |
| 2016 | 31 | INTL | Navegantes del Magallanes | — | 132 | 123 | 36 | 8 | 0 | 3 | 8 | 22 | 1 | 0 | 2 | 293 | 341 | 431 | 772 | 138 | 337 | 17 | 6 | 344 | 119 | — | — | — | — | — | — |
| 2017 | 32 | MLB | Atlanta Braves | — | 183 | 173 | 41 | 4 | 0 | 5 | 7 | 23 | 2 | 4 | 0 | 237 | 275 | 347 | 622 | 110 | 247 | 13 | 4 | 278 | 74 | -6 | +1 | -4 | +1 | +4 | -0.4 |
| 2017 | 32 | AAA | Gwinnett Braves | — | 21 | 19 | 6 | 3 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 316 | 350 | 474 | 824 | 158 | 333 | 10 | 0 | 348 | 101 | — | — | — | — | — | — |
| 2017 | 32 | INTL | Navegantes del Magallanes | — | 132 | 119 | 40 | 5 | 0 | 2 | 9 | 14 | 3 | 1 | 1 | 336 | 397 | 429 | 826 | 92 | 365 | 11 | 7 | 371 | 137 | — | — | — | — | — | — |
| 2018 | 33 | INTL | Navegantes del Magallanes | — | 39 | 39 | 11 | 0 | 0 | 1 | 0 | 4 | 0 | 0 | 0 | 282 | 282 | 359 | 641 | 77 | 294 | 10 | 0 | 285 | 79 | — | — | — | — | — | — |
| 2019 | 34 | AAA | Generales de Durango | — | 260 | 230 | 60 | 12 | 0 | 8 | 20 | 46 | 7 | 8 | 3 | 261 | 339 | 417 | 756 | 157 | 292 | 18 | 8 | 336 | 39 | — | — | — | — | — | — |
| 2019 | 34 | INTL | Venezuela | — | 127 | 109 | 25 | 3 | 0 | 1 | 14 | 12 | 3 | 5 | 1 | 229 | 333 | 284 | 618 | 55 | 247 | 9 | 11 | 291 | 83 | — | — | — | — | — | — |
| 2021 | 36 | INTL | Bravos de Margarita | — | 35 | 33 | 10 | 2 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 303 | 324 | 455 | 778 | 152 | 300 | 9 | 3 | 334 | 112 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 944 | 896 | 239 | 45 | 0 | 29 | 36 | 151 | 8 | 7 | 2 | 267 | 301 | 414 | 715 | 147 | 292 | 16 | 4 | 316 | 100 | +0 | +1 | -9 | +7 | +20 | 1.9 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 27 | AA MLE | Trenton Thunder | — | 126 | 119 | 30 | 10 | 0 | 3 | 4 | 22 | 2 | 2 | 1 | 252 | 288 | 412 | 700 | 160 | 279 | 17 | 3 | 296 | 86 | — | — | — | — | — | — |
| 2012 | 27 | A+ MLE | Tampa Yankees | — | 115 | 109 | 21 | 6 | 1 | 1 | 6 | 26 | 0 | 0 | 2 | 193 | 235 | 294 | 528 | 101 | 244 | 23 | 5 | 226 | 39 | — | — | — | — | — | — |
| 2013 | 28 | AAA MLE | Scranton/Wilkes-Barre RailRiders | — | 216 | 203 | 48 | 7 | 1 | 3 | 7 | 25 | 5 | 4 | 4 | 236 | 279 | 325 | 604 | 89 | 256 | 12 | 3 | 262 | 63 | — | — | — | — | — | — |
| 2013 | 28 | ROK MLE | GCL Yankees2 | — | 19 | 18 | 4 | 0 | 0 | 1 | 0 | 4 | 0 | 0 | 0 | 222 | 222 | 389 | 611 | 167 | 202 | 21 | 0 | 227 | 40 | — | — | — | — | — | — |
| 2014 | 29 | AAA MLE | Scranton/Wilkes-Barre RailRiders | — | 368 | 347 | 98 | 17 | 3 | 7 | 12 | 63 | 4 | 11 | 3 | 282 | 314 | 409 | 723 | 127 | 317 | 17 | 3 | 312 | 97 | — | — | — | — | — | — |
| 2015 | 30 | MLB MLE | Atlanta Braves | — | 198 | 191 | 53 | 11 | 0 | 11 | 5 | 35 | 0 | 0 | 0 | 277 | 296 | 508 | 804 | 230 | 291 | 18 | 3 | 347 | 121 | +5 | +0 | -1 | +3 | +4 | 1.1 |
| 2015 | 30 | AAA MLE | Gwinnett Braves | — | 350 | 338 | 82 | 14 | 1 | 2 | 8 | 52 | 1 | 5 | 1 | 243 | 262 | 308 | 570 | 65 | 275 | 15 | 2 | 251 | 56 | — | — | — | — | — | — |
| 2016 | 31 | MLB MLE | Atlanta Braves | — | 563 | 537 | 145 | 28 | 0 | 15 | 20 | 93 | 6 | 3 | 2 | 270 | 304 | 406 | 710 | 136 | 308 | 17 | 4 | 315 | 100 | -0 | -0 | -5 | +3 | +12 | 1.0 |
| 2016 | 31 | AAA MLE | Gwinnett Braves | — | 80 | 74 | 21 | 5 | 0 | 3 | 2 | 14 | 4 | 2 | 1 | 284 | 338 | 473 | 810 | 189 | 318 | 18 | 2 | 348 | 122 | — | — | — | — | — | — |
| 2017 | 32 | MLB MLE | Atlanta Braves | — | 183 | 173 | 41 | 4 | 0 | 5 | 7 | 23 | 2 | 4 | 0 | 237 | 275 | 347 | 622 | 110 | 247 | 13 | 4 | 278 | 74 | -6 | +1 | -4 | +1 | +4 | -0.4 |
| 2017 | 32 | AAA MLE | Gwinnett Braves | — | 21 | 19 | 6 | 3 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 316 | 350 | 474 | 824 | 158 | 288 | 10 | 0 | 317 | 101 | — | — | — | — | — | — |
| 2019 | 34 | AAA MLE | Generales de Durango | — | 260 | 239 | 44 | 8 | 0 | 4 | 11 | 58 | 7 | 8 | 3 | 184 | 241 | 268 | 509 | 84 | 218 | 22 | 4 | 226 | 39 | — | — | — | — | — | — |
| 2011 | 26 | INTL MLE | Venezuela | — | 193 | 178 | 50 | 8 | 2 | 6 | 8 | 26 | 3 | 6 | 5 | 281 | 323 | 449 | 772 | 169 | 299 | 13 | 4 | — | — | — | — | — | — | — | — |
| 2011 | 26 | INTL RAW | Venezuela | — | 193 | 178 | 50 | 8 | 2 | 6 | 8 | 26 | 3 | 6 | 5 | 281 | 323 | 449 | 772 | 169 | 299 | 13 | 4 | 334 | 112 | — | — | — | — | — | — |
| 2012 | 27 | INTL MLE | 3 teams | — | 407 | 381 | 86 | 26 | 1 | 7 | 15 | 81 | 6 | 5 | 5 | 226 | 266 | 354 | 620 | 129 | 265 | 20 | 4 | 263 | 64 | — | — | — | — | — | — |
| 2012 | 27 | INTL RAW | 3 teams | — | 407 | 378 | 104 | 28 | 2 | 11 | 18 | 60 | 6 | 5 | 5 | 275 | 318 | 447 | 765 | 172 | 298 | 15 | 4 | 334 | 64 | — | — | — | — | — | — |
| 2013 | 28 | INTL MLE | 3 teams | — | 496 | 468 | 109 | 16 | 2 | 7 | 16 | 62 | 7 | 8 | 4 | 233 | 269 | 321 | 589 | 88 | 254 | 12 | 3 | 259 | 62 | — | — | — | — | — | — |
| 2013 | 28 | INTL RAW | 3 teams | — | 496 | 464 | 133 | 24 | 2 | 12 | 20 | 56 | 7 | 8 | 4 | 287 | 326 | 425 | 750 | 138 | 303 | 11 | 4 | 331 | 62 | — | — | — | — | — | — |
| 2014 | 29 | AAA MLE | 2 teams | — | 623 | 587 | 166 | 29 | 5 | 12 | 20 | 107 | 10 | 15 | 7 | 283 | 318 | 411 | 728 | 128 | 325 | 17 | 3 | 312 | 97 | — | — | — | — | — | — |
| 2014 | 29 | AAA RAW | 2 teams | — | 623 | 575 | 182 | 33 | 4 | 16 | 32 | 73 | 10 | 15 | 7 | 317 | 363 | 471 | 834 | 155 | 337 | 12 | 5 | 367 | 97 | — | — | — | — | — | — |
| 2015 | 30 | AAA MLE | 3 teams | — | 726 | 699 | 179 | 33 | 1 | 18 | 17 | 115 | 5 | 13 | 3 | 256 | 279 | 383 | 662 | 127 | 282 | 16 | 2 | 286 | 79 | — | — | — | — | — | — |
| 2015 | 30 | AAA RAW | 3 teams | — | 726 | 683 | 205 | 37 | 3 | 16 | 33 | 90 | 5 | 13 | 3 | 300 | 337 | 433 | 770 | 133 | 325 | 12 | 5 | 340 | 79 | — | — | — | — | — | — |
| 2016 | 31 | MLB MLE | 3 teams | — | 775 | 738 | 200 | 40 | 0 | 22 | 26 | 129 | 11 | 5 | 5 | 271 | 306 | 415 | 720 | 144 | 303 | 17 | 3 | 319 | 102 | +2 | -1 | -5 | +3 | +17 | 1.6 |
| 2016 | 31 | MLB RAW | 3 teams | — | 775 | 728 | 207 | 44 | 0 | 21 | 35 | 127 | 11 | 5 | 5 | 284 | 326 | 431 | 758 | 147 | 321 | 16 | 5 | 337 | 102 | +2 | -1 | -5 | +3 | +17 | 1.6 |
| 2017 | 32 | MLB MLE | 3 teams | — | 336 | 315 | 76 | 11 | 0 | 8 | 12 | 42 | 6 | 6 | 1 | 241 | 282 | 352 | 635 | 111 | 254 | 12 | 4 | 282 | 77 | -9 | +1 | -4 | +1 | +7 | -0.4 |
| 2017 | 32 | MLB RAW | 3 teams | — | 336 | 311 | 87 | 12 | 0 | 7 | 16 | 39 | 6 | 6 | 1 | 280 | 327 | 386 | 713 | 106 | 299 | 12 | 5 | 319 | 77 | -9 | +1 | -4 | +1 | +7 | -0.4 |
| 2018 | 33 | INTL MLE | Navegantes del Magallanes | — | 39 | 39 | 11 | 0 | 0 | 1 | 0 | 4 | 0 | 0 | 0 | 282 | 282 | 359 | 641 | 77 | 294 | 10 | 0 | — | — | — | — | — | — | — | — |
| 2018 | 33 | INTL RAW | Navegantes del Magallanes | — | 39 | 39 | 11 | 0 | 0 | 1 | 0 | 4 | 0 | 0 | 0 | 282 | 282 | 359 | 641 | 77 | 294 | 10 | 0 | 285 | 79 | — | — | — | — | — | — |
| 2019 | 34 | AAA MLE | 2 teams | — | 387 | 357 | 65 | 11 | 0 | 6 | 16 | 87 | 10 | 13 | 4 | 182 | 238 | 263 | 501 | 81 | 221 | 22 | 4 | 226 | 39 | — | — | — | — | — | — |
| 2019 | 34 | AAA RAW | 2 teams | — | 387 | 339 | 85 | 15 | 0 | 9 | 34 | 58 | 10 | 13 | 4 | 251 | 337 | 375 | 711 | 124 | 276 | 15 | 9 | 321 | 39 | — | — | — | — | — | — |
| 2021 | 36 | INTL MLE | Bravos de Margarita | — | 35 | 33 | 10 | 2 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 303 | 324 | 455 | 778 | 152 | 300 | 9 | 3 | — | — | — | — | — | — | — | — |
| 2021 | 36 | INTL RAW | Bravos de Margarita | — | 35 | 33 | 10 | 2 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 303 | 324 | 455 | 778 | 152 | 300 | 9 | 3 | 334 | 112 | — | — | — | — | — | — |
| 2012 | 27 | INTL MLE | 3 teams | — | 407 | 383 | 86 | 26 | 1 | 7 | 15 | 81 | 6 | 5 | 5 | 225 | 266 | 352 | 619 | 128 | 262 | 20 | 4 | 263 | 64 | — | — | — | — | — | — |
| 2013 | 28 | INTL MLE | 3 teams | — | 496 | 470 | 109 | 16 | 2 | 7 | 16 | 62 | 7 | 8 | 4 | 232 | 269 | 319 | 588 | 87 | 252 | 12 | 3 | 259 | 62 | — | — | — | — | — | — |
| 2014 | 29 | AAA MLE | 2 teams | — | 623 | 588 | 166 | 29 | 5 | 12 | 20 | 107 | 10 | 15 | 7 | 282 | 318 | 410 | 728 | 128 | 317 | 17 | 3 | 312 | 97 | — | — | — | — | — | — |
| 2015 | 30 | AAA MLE | 3 teams | — | 726 | 698 | 179 | 33 | 1 | 18 | 17 | 115 | 5 | 13 | 3 | 256 | 279 | 384 | 663 | 128 | 281 | 16 | 2 | 286 | 79 | — | — | — | — | — | — |
| 2016 | 31 | MLB MLE | 3 teams | — | 775 | 732 | 200 | 40 | 0 | 22 | 26 | 129 | 11 | 5 | 5 | 273 | 306 | 418 | 724 | 145 | 309 | 17 | 3 | 319 | 102 | — | — | — | — | — | — |
| 2017 | 32 | MLB MLE | 3 teams | — | 336 | 315 | 76 | 11 | 0 | 8 | 12 | 42 | 6 | 6 | 1 | 241 | 282 | 352 | 635 | 111 | 251 | 12 | 4 | 282 | 77 | — | — | — | — | — | — |
| 2019 | 34 | AAA MLE | 2 teams | — | 387 | 358 | 65 | 11 | 0 | 6 | 16 | 87 | 10 | 13 | 4 | 182 | 238 | 263 | 500 | 81 | 218 | 22 | 4 | 226 | 39 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 944 | 896 | 239 | 45 | 0 | 29 | 36 | 151 | 8 | 7 | 2 | 267 | 301 | 414 | 715 | 147 | 292 | 16 | 4 | 316 | 66 | +0 | +1 | -9 | +7 | +20 | 1.9 | |
| / 162G | — | A+C | — | 650 | 617 | 165 | 31 | 0 | 20 | 25 | 104 | 6 | 5 | 1 | 267 | 302 | 415 | 717 | 147 | 293 | 16 | 4 | 316 | 66 | +0 | +0 | -6 | +5 | +14 | 1.3 | |
| Career | — | MLE | — | 4017 | 3795 | 952 | 176 | 11 | 88 | 131 | 656 | 58 | 71 | 34 | 251 | 286 | 373 | 659 | 122 | 281 | 16 | 3 | 266 | 66 | +0 | +1 | -9 | +7 | +20 | 1.9 | |
| / 162G | — | MLE | — | 650 | 614 | 154 | 28 | 2 | 14 | 21 | 106 | 9 | 11 | 6 | 251 | 285 | 371 | 657 | 121 | 281 | 16 | 3 | 266 | 66 | +0 | +0 | -6 | +5 | +14 | 1.3 | |
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 AAAGenerales de Durango · 260 PAwOBA .328 → .226 (−102)K% 17.7% → 22.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.69% | ÷0.946 | ×1.200 | — | — | 22.44% |
| BB% (unintentional) /PA | 7.31% | ÷1.118 | ×0.690 | — | ×0.940 | 4.24% |
| HBP% /PA | 2.69% | — | ×0.940 | — | ×0.940 | 2.38% |
| Singles /BIP | 21.74% | ÷1.034 | ×0.930 | ×0.950 | ×0.940 | 17.45% |
| Doubles /BIP | 6.52% | ÷1.163 | ×0.830 | ×0.950 | ×0.940 | 4.16% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×0.950 | ×0.940 | 0.00% |
| Home runs /BIP | 4.35% | ÷1.311 | ×0.700 | — | ×0.940 | 2.18% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 162, 1B 107, 2B 133, 3B 130, K 89, BB 124 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .328 → .226; ISO .157 → .086; BABIP .292 → .218. 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 AAAGwinnett Braves · 21 PAwOBA .355 → .317 (−38)K% 9.5% → 11.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.52% | ÷0.989 | ×1.200 | — | — | 11.56% |
| BB% (unintentional) /PA | 0.00% | ÷0.999 | ×0.690 | — | ×0.952 | 0.00% |
| HBP% /PA | 4.76% | — | ×0.940 | — | ×0.952 | 4.26% |
| Singles /BIP | 17.65% | ÷1.005 | ×0.930 | — | ×0.952 | 15.55% |
| Doubles /BIP | 17.65% | ÷0.936 | ×0.830 | — | ×0.952 | 14.89% |
| Triples /BIP | 0.00% | ÷1.005 | ×0.970 | — | ×0.952 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.972 | ×0.840 | — | ×0.952 | 0.00% |
Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 87, 3B 101, K 98, BB 100 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).
Result: wOBA .355 → .317; ISO .158 → .139; BABIP .333 → .288. 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 AAAGwinnett Braves · 80 PAwOBA .436 → .348 (−88)K% 15.0% → 17.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.00% | ÷1.046 | ×1.200 | — | — | 17.20% |
| BB% (unintentional) /PA | 3.75% | ÷1.022 | ×0.690 | — | ×0.962 | 2.44% |
| HBP% /PA | 5.00% | — | ×0.940 | — | ×0.962 | 4.52% |
| Singles /BIP | 24.59% | ÷1.017 | ×0.930 | ×0.980 | ×0.962 | 21.21% |
| Doubles /BIP | 11.48% | ÷0.991 | ×0.830 | ×0.980 | ×0.962 | 9.06% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×0.980 | ×0.962 | 0.00% |
| Home runs /BIP | 6.56% | ÷1.132 | ×0.840 | — | ×0.962 | 4.68% |
Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 103, 2B 98, 3B 130, K 109, BB 104 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.
Result: wOBA .436 → .348; ISO .260 → .192; BABIP .386 → .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).
2015 AAAGwinnett Braves · 350 PAwOBA .298 → .251 (−46)K% 11.7% → 14.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.71% | ÷0.940 | ×1.200 | — | — | 14.95% |
| BB% (unintentional) /PA | 3.71% | ÷1.103 | ×0.690 | — | ×0.972 | 2.26% |
| HBP% /PA | 0.29% | — | ×0.940 | — | ×0.972 | 0.26% |
| Singles /BIP | 25.17% | ÷0.996 | ×0.930 | ×0.987 | ×0.972 | 22.54% |
| Doubles /BIP | 5.86% | ÷0.988 | ×0.830 | ×0.987 | ×0.972 | 4.73% |
| Triples /BIP | 0.34% | ÷0.988 | ×0.970 | ×0.987 | ×0.972 | 0.32% |
| Home runs /BIP | 1.03% | ÷1.014 | ×0.840 | — | ×0.972 | 0.83% |
Factors used: league row IL. Park (home-season share, regressed): HR 103, 1B 99, 2B 98, 3B 98, K 88, BB 121 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.
Result: wOBA .298 → .251; ISO .085 → .069; BABIP .314 → .275. 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 AAAScranton/Wilkes-Barre RailRiders · 368 PAwOBA .358 → .312 (−46)K% 13.9% → 17.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.86% | ÷0.970 | ×1.200 | — | — | 17.15% |
| BB% (unintentional) /PA | 4.62% | ÷0.985 | ×0.690 | — | ×0.982 | 3.18% |
| HBP% /PA | 1.09% | — | ×0.940 | — | ×0.982 | 1.00% |
| Singles /BIP | 26.46% | ÷0.984 | ×0.930 | ×0.998 | ×0.982 | 24.50% |
| Doubles /BIP | 6.87% | ÷0.936 | ×0.830 | ×0.998 | ×0.982 | 5.97% |
| Triples /BIP | 1.03% | ÷0.954 | ×0.970 | ×0.998 | ×0.982 | 1.03% |
| Home runs /BIP | 3.09% | ÷1.067 | ×0.840 | — | ×0.982 | 2.39% |
Factors used: league row IL. Park (home-season share, regressed): HR 113, 1B 97, 2B 87, 3B 91, K 94, BB 97 — 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 ×0.998.
Result: wOBA .358 → .312; ISO .155 → .129; BABIP .348 → .317. 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 AAAScranton/Wilkes-Barre RailRiders · 216 PAwOBA .294 → .262 (−31)K% 9.7% → 11.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.72% | ÷1.010 | ×1.200 | — | — | 11.55% |
| BB% (unintentional) /PA | 5.09% | ÷1.015 | ×0.690 | — | ×0.992 | 3.43% |
| HBP% /PA | 2.31% | — | ×0.940 | — | ×0.992 | 2.16% |
| Singles /BIP | 21.35% | ÷0.971 | ×0.930 | ×1.013 | ×0.992 | 20.54% |
| Doubles /BIP | 5.06% | ÷1.026 | ×0.830 | ×1.013 | ×0.992 | 4.11% |
| Triples /BIP | 0.56% | ÷1.000 | ×0.970 | ×1.013 | ×0.992 | 0.55% |
| Home runs /BIP | 1.69% | ÷0.976 | ×0.840 | — | ×0.992 | 1.44% |
Factors used: league row IL. Park (home-season share, regressed): HR 95, 1B 94, 2B 105, 3B 100, K 102, BB 103 — 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 ×1.013.
Result: wOBA .294 → .262; ISO .101 → .086; BABIP .274 → .256. 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 ROKGCL Yankees2 · 19 PAwOBA .307 → .227 (−79)K% 15.8% → 22.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.79% | ÷1.000 | ×1.440 | — | — | 22.74% |
| BB% (unintentional) /PA | 0.00% | ÷1.000 | ×0.620 | — | ×0.940 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.940 | 0.00% |
| Singles /BIP | 26.67% | ÷1.000 | ×0.820 | — | ×0.940 | 20.55% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.940 | 0.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.940 | 0.00% |
| Home runs /BIP | 6.67% | ÷1.000 | ×0.780 | — | ×0.940 | 4.89% |
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 28 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (8.5 yr older than average).
Result: wOBA .307 → .227; ISO .167 → .120; BABIP .267 → .202. 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).
2012 AATrenton Thunder · 126 PAwOBA .350 → .296 (−54)K% 14.3% → 17.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.29% | ÷0.990 | ×1.220 | — | — | 17.61% |
| BB% (unintentional) /PA | 3.97% | ÷0.955 | ×0.700 | — | ×0.978 | 2.84% |
| HBP% /PA | 1.59% | — | ×0.850 | — | ×0.978 | 1.32% |
| Singles /BIP | 18.00% | ÷0.980 | ×0.970 | ×1.012 | ×0.978 | 17.62% |
| Doubles /BIP | 12.00% | ÷1.058 | ×0.860 | ×1.012 | ×0.978 | 9.65% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.950 | ×1.012 | ×0.978 | 0.00% |
| Home runs /BIP | 4.00% | ÷0.975 | ×0.780 | — | ×0.978 | 3.13% |
Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 96, 2B 112, 3B 80, K 98, BB 91 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.
Result: wOBA .350 → .296; ISO .203 → .159; BABIP .309 → .279. 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 — .