Rayder Ascanio
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2023 | 27 | INTLNavegantes de… | 40 | .229/.325/.257 | 0 | 0 | 74 | — |
| 2024 | 28 | INTLBravos de Mar… | 123 | .301/.405/.447 | 2 | 1 | 141 | — |
| 2025 | 29 | INTLAguilas del Z… | 87 | .250/.337/.303 | 0 | 1 | 86 | — |
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) | |||||||||||||||||||||||||||||||
| 2013 | 17 | ROK | VSL Mariners | — | 171 | 143 | 38 | 9 | 3 | 3 | 23 | 33 | 3 | 3 | 3 | 266 | 379 | 434 | 812 | 168 | 324 | 19 | 13 | 361 | 49 | — | — | — | — | — | — |
| 2014 | 18 | ROK | AZL Mariners | — | 192 | 160 | 38 | 9 | 0 | 0 | 26 | 49 | 2 | 5 | 3 | 237 | 351 | 294 | 645 | 56 | 333 | 26 | 14 | 299 | 30 | — | — | — | — | — | — |
| 2015 | 19 | A+ | Bakersfield Blaze | — | 322 | 297 | 68 | 12 | 1 | 1 | 19 | 70 | 1 | 6 | 2 | 229 | 278 | 286 | 564 | 57 | 291 | 22 | 6 | 255 | 35 | — | — | — | — | — | — |
| 2015 | 19 | A | Clinton LumberKings | — | 31 | 24 | 7 | 1 | 0 | 0 | 6 | 3 | 0 | 0 | 1 | 292 | 433 | 333 | 767 | 42 | 333 | 10 | 19 | 352 | 91 | — | — | — | — | — | — |
| 2015 | 19 | INTL | Tigres de Aragua | — | 30 | 29 | 4 | 1 | 0 | 0 | 0 | 4 | 0 | 2 | 1 | 138 | 138 | 172 | 310 | 34 | 160 | 13 | 0 | 133 | -24 | — | — | — | — | — | — |
| 2016 | 20 | A | Clinton LumberKings | — | 530 | 456 | 117 | 15 | 3 | 2 | 54 | 101 | 2 | 10 | 14 | 257 | 338 | 316 | 654 | 59 | 320 | 19 | 10 | 293 | 56 | — | — | — | — | — | — |
| 2016 | 20 | INTL | Navegantes del Magallanes | — | 77 | 68 | 10 | 1 | 1 | 0 | 5 | 21 | 0 | 0 | 0 | 147 | 205 | 191 | 397 | 44 | 213 | 27 | 6 | 177 | 6 | — | — | — | — | — | — |
| 2017 | 21 | A+ | Palm Beach Cardinals | — | 281 | 244 | 53 | 16 | 1 | 4 | 28 | 44 | 2 | 3 | 4 | 217 | 303 | 340 | 643 | 123 | 247 | 16 | 10 | 286 | 57 | — | — | — | — | — | — |
| 2017 | 21 | A | Clinton LumberKings | — | 173 | 150 | 33 | 9 | 0 | 5 | 17 | 44 | 0 | 9 | 4 | 220 | 299 | 380 | 679 | 160 | 272 | 25 | 10 | 295 | 49 | — | — | — | — | — | — |
| 2017 | 21 | INTL | Navegantes del Magallanes | — | 156 | 126 | 33 | 4 | 0 | 2 | 26 | 31 | 0 | 2 | 1 | 262 | 388 | 341 | 729 | 79 | 333 | 20 | 17 | 333 | 111 | — | — | — | — | — | — |
| 2018 | 22 | A | Peoria Chiefs | — | 259 | 236 | 58 | 6 | 0 | 4 | 19 | 36 | 3 | 3 | 5 | 246 | 310 | 322 | 632 | 76 | 274 | 14 | 7 | 289 | 43 | — | — | — | — | — | — |
| 2018 | 22 | INTL | Navegantes del Magallanes | — | 164 | 136 | 35 | 6 | 1 | 2 | 24 | 19 | 0 | 3 | 2 | 257 | 369 | 360 | 729 | 103 | 287 | 12 | 15 | 328 | 108 | — | — | — | — | — | — |
| 2019 | 23 | AA | Springfield Cardinals | — | 292 | 267 | 72 | 17 | 0 | 6 | 19 | 54 | 5 | 3 | 2 | 270 | 330 | 401 | 731 | 131 | 317 | 18 | 7 | 327 | 63 | — | — | — | — | — | — |
| 2019 | 23 | A+ | Palm Beach Cardinals | — | 102 | 85 | 22 | 4 | 0 | 0 | 12 | 21 | 0 | 0 | 0 | 259 | 351 | 306 | 656 | 47 | 338 | 21 | 12 | 292 | 51 | — | — | — | — | — | — |
| 2021 | 25 | AAA | Memphis Redbirds | — | 204 | 182 | 41 | 5 | 0 | 8 | 18 | 39 | 0 | 2 | 1 | 225 | 295 | 385 | 680 | 159 | 244 | 19 | 9 | 299 | 49 | — | — | — | — | — | — |
| 2021 | 25 | INTL | Venezuela | — | 103 | 82 | 21 | 4 | 1 | 1 | 16 | 20 | 0 | 0 | 2 | 256 | 378 | 366 | 743 | 110 | 317 | 19 | 16 | 326 | 107 | — | — | — | — | — | — |
| 2022 | 26 | INTL | Navegantes del Magallanes | — | 211 | 177 | 45 | 7 | 2 | 1 | 32 | 37 | 1 | 2 | 4 | 254 | 371 | 333 | 705 | 79 | 317 | 18 | 15 | 327 | 108 | — | — | — | — | — | — |
| 2023 | 27 | INTL | Navegantes del Magallanes | — | 40 | 35 | 8 | 1 | 0 | 0 | 5 | 10 | 0 | 0 | 0 | 229 | 325 | 257 | 582 | 29 | 320 | 25 | 12 | 278 | 74 | — | — | — | — | — | — |
| 2024 | 28 | INTL | Bravos de Margarita | — | 123 | 103 | 31 | 5 | 2 | 2 | 18 | 24 | 0 | 1 | 0 | 301 | 405 | 447 | 852 | 146 | 372 | 20 | 15 | 376 | 141 | — | — | — | — | — | — |
| 2025 | 29 | INTL | Aguilas del Zulia | — | 87 | 76 | 19 | 2 | 1 | 0 | 9 | 19 | 1 | 1 | 1 | 250 | 337 | 303 | 640 | 53 | 328 | 22 | 10 | 295 | 86 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 17 | ROK MLE | VSL Mariners | — | 171 | 150 | 26 | 6 | 2 | 1 | 16 | 40 | 3 | 3 | 3 | 173 | 266 | 260 | 526 | 87 | 220 | 23 | 9 | 241 | 49 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | AZL Mariners | — | 192 | 169 | 29 | 6 | 0 | 0 | 17 | 70 | 2 | 5 | 3 | 172 | 255 | 207 | 462 | 36 | 271 | 36 | 9 | 212 | 30 | — | — | — | — | — | — |
| 2015 | 19 | A+ MLE | Bakersfield Blaze | — | 322 | 302 | 62 | 11 | 1 | 1 | 14 | 95 | 1 | 6 | 2 | 205 | 243 | 258 | 501 | 53 | 282 | 30 | 4 | 220 | 35 | — | — | — | — | — | — |
| 2015 | 19 | A MLE | Clinton LumberKings | — | 31 | 26 | 7 | 1 | 0 | 0 | 4 | 4 | 0 | 0 | 1 | 269 | 367 | 308 | 674 | 38 | 308 | 13 | 13 | 302 | 91 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Clinton LumberKings | — | 530 | 473 | 107 | 15 | 3 | 2 | 37 | 137 | 2 | 10 | 14 | 226 | 285 | 283 | 568 | 57 | 295 | 26 | 7 | 251 | 56 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | Palm Beach Cardinals | — | 281 | 250 | 49 | 15 | 1 | 4 | 22 | 62 | 2 | 3 | 4 | 196 | 266 | 312 | 578 | 116 | 232 | 22 | 8 | 253 | 57 | — | — | — | — | — | — |
| 2017 | 21 | A MLE | Clinton LumberKings | — | 173 | 156 | 30 | 8 | 0 | 4 | 11 | 62 | 0 | 9 | 4 | 192 | 246 | 321 | 566 | 128 | 257 | 36 | 6 | 240 | 49 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | Peoria Chiefs | — | 259 | 242 | 49 | 5 | 0 | 3 | 13 | 47 | 3 | 3 | 5 | 202 | 252 | 260 | 512 | 58 | 239 | 18 | 5 | 232 | 43 | — | — | — | — | — | — |
| 2019 | 23 | AA MLE | Springfield Cardinals | — | 292 | 273 | 61 | 13 | 0 | 4 | 13 | 67 | 5 | 3 | 2 | 223 | 271 | 315 | 586 | 92 | 278 | 23 | 4 | 261 | 63 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | Palm Beach Cardinals | — | 102 | 88 | 20 | 4 | 0 | 0 | 9 | 29 | 0 | 0 | 0 | 227 | 299 | 273 | 572 | 45 | 299 | 28 | 9 | 243 | 51 | — | — | — | — | — | — |
| 2021 | 25 | AAA MLE | Memphis Redbirds | — | 204 | 189 | 36 | 4 | 0 | 6 | 11 | 49 | 0 | 2 | 1 | 190 | 235 | 307 | 542 | 116 | 223 | 24 | 5 | 240 | 49 | — | — | — | — | — | — |
| 2013 | 17 | ROK MLE | VSL Mariners | — | 171 | 150 | 26 | 6 | 2 | 1 | 16 | 40 | 3 | 3 | 3 | 173 | 266 | 260 | 526 | 87 | 227 | 23 | 9 | 241 | 49 | — | — | — | — | — | — |
| 2013 | 17 | ROK RAW | VSL Mariners | — | 171 | 143 | 38 | 9 | 3 | 3 | 23 | 33 | 3 | 3 | 3 | 266 | 379 | 434 | 812 | 168 | 324 | 19 | 13 | 361 | 49 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | AZL Mariners | — | 192 | 169 | 29 | 6 | 0 | 0 | 17 | 70 | 2 | 5 | 3 | 172 | 255 | 207 | 462 | 36 | 284 | 36 | 9 | 212 | 30 | — | — | — | — | — | — |
| 2014 | 18 | ROK RAW | AZL Mariners | — | 192 | 160 | 38 | 9 | 0 | 0 | 26 | 49 | 2 | 5 | 3 | 237 | 351 | 294 | 645 | 56 | 333 | 26 | 14 | 299 | 30 | — | — | — | — | — | — |
| 2015 | 19 | A+ MLE | 3 teams | — | 383 | 355 | 74 | 12 | 1 | 1 | 20 | 108 | 1 | 8 | 4 | 208 | 253 | 256 | 509 | 48 | 292 | 28 | 5 | 227 | 40 | — | — | — | — | — | — |
| 2015 | 19 | A+ RAW | 3 teams | — | 383 | 350 | 79 | 14 | 1 | 1 | 25 | 77 | 1 | 8 | 4 | 226 | 279 | 280 | 559 | 54 | 283 | 20 | 7 | 253 | 40 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | 2 teams | — | 607 | 541 | 124 | 18 | 4 | 2 | 42 | 157 | 2 | 10 | 14 | 229 | 287 | 288 | 576 | 59 | 314 | 26 | 7 | 251 | 56 | — | — | — | — | — | — |
| 2016 | 20 | A RAW | 2 teams | — | 607 | 524 | 127 | 16 | 4 | 2 | 59 | 122 | 2 | 10 | 14 | 242 | 321 | 300 | 621 | 57 | 308 | 20 | 10 | 278 | 56 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | 3 teams | — | 610 | 547 | 105 | 31 | 1 | 11 | 44 | 166 | 2 | 14 | 9 | 192 | 255 | 313 | 567 | 121 | 251 | 27 | 7 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 21 | A+ RAW | 3 teams | — | 610 | 520 | 119 | 29 | 1 | 11 | 71 | 119 | 2 | 14 | 9 | 229 | 324 | 352 | 676 | 123 | 274 | 20 | 12 | 301 | 54 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | 2 teams | — | 423 | 393 | 80 | 8 | 0 | 5 | 22 | 77 | 3 | 6 | 7 | 204 | 251 | 262 | 513 | 59 | 240 | 18 | 5 | 232 | 43 | — | — | — | — | — | — |
| 2018 | 22 | A RAW | 2 teams | — | 423 | 372 | 93 | 12 | 1 | 6 | 43 | 55 | 3 | 6 | 7 | 250 | 333 | 336 | 669 | 86 | 279 | 13 | 10 | 304 | 43 | — | — | — | — | — | — |
| 2019 | 23 | AA MLE | 2 teams | — | 394 | 360 | 80 | 16 | 0 | 4 | 23 | 96 | 5 | 3 | 2 | 222 | 278 | 300 | 578 | 78 | 290 | 24 | 6 | 256 | 60 | — | — | — | — | — | — |
| 2019 | 23 | AA RAW | 2 teams | — | 394 | 352 | 94 | 21 | 0 | 6 | 31 | 75 | 5 | 3 | 2 | 267 | 335 | 378 | 713 | 111 | 322 | 19 | 8 | 318 | 60 | — | — | — | — | — | — |
| 2021 | 25 | AAA MLE | 2 teams | — | 307 | 281 | 55 | 6 | 0 | 9 | 17 | 74 | 0 | 2 | 3 | 196 | 242 | 313 | 555 | 117 | 230 | 24 | 6 | 240 | 49 | — | — | — | — | — | — |
| 2021 | 25 | AAA RAW | 2 teams | — | 307 | 264 | 62 | 9 | 1 | 9 | 34 | 59 | 0 | 2 | 3 | 235 | 322 | 379 | 701 | 144 | 268 | 19 | 11 | 308 | 49 | — | — | — | — | — | — |
| 2022 | 26 | INTL MLE | Navegantes del Magallanes | — | 211 | 177 | 45 | 7 | 2 | 1 | 32 | 37 | 1 | 2 | 4 | 254 | 371 | 333 | 705 | 79 | 317 | 18 | 15 | — | — | — | — | — | — | — | — |
| 2022 | 26 | INTL RAW | Navegantes del Magallanes | — | 211 | 177 | 45 | 7 | 2 | 1 | 32 | 37 | 1 | 2 | 4 | 254 | 371 | 333 | 705 | 79 | 317 | 18 | 15 | 327 | 108 | — | — | — | — | — | — |
| 2023 | 27 | INTL MLE | Navegantes del Magallanes | — | 40 | 35 | 8 | 1 | 0 | 0 | 5 | 10 | 0 | 0 | 0 | 229 | 325 | 257 | 582 | 29 | 320 | 25 | 12 | — | — | — | — | — | — | — | — |
| 2023 | 27 | INTL RAW | Navegantes del Magallanes | — | 40 | 35 | 8 | 1 | 0 | 0 | 5 | 10 | 0 | 0 | 0 | 229 | 325 | 257 | 582 | 29 | 320 | 25 | 12 | 278 | 74 | — | — | — | — | — | — |
| 2024 | 28 | INTL MLE | Bravos de Margarita | — | 123 | 103 | 31 | 5 | 2 | 2 | 18 | 24 | 0 | 1 | 0 | 301 | 405 | 447 | 852 | 146 | 372 | 20 | 15 | — | — | — | — | — | — | — | — |
| 2024 | 28 | INTL RAW | Bravos de Margarita | — | 123 | 103 | 31 | 5 | 2 | 2 | 18 | 24 | 0 | 1 | 0 | 301 | 405 | 447 | 852 | 146 | 372 | 20 | 15 | 376 | 141 | — | — | — | — | — | — |
| 2025 | 29 | INTL MLE | Aguilas del Zulia | — | 87 | 76 | 19 | 2 | 1 | 0 | 9 | 19 | 1 | 1 | 1 | 250 | 337 | 303 | 640 | 53 | 328 | 22 | 10 | — | — | — | — | — | — | — | — |
| 2025 | 29 | INTL RAW | Aguilas del Zulia | — | 87 | 76 | 19 | 2 | 1 | 0 | 9 | 19 | 1 | 1 | 1 | 250 | 337 | 303 | 640 | 53 | 328 | 22 | 10 | 295 | 86 | — | — | — | — | — | — |
| 2013 | 17 | ROK MLE | VSL Mariners | — | 171 | 150 | 26 | 6 | 2 | 1 | 16 | 40 | 3 | 3 | 3 | 173 | 266 | 260 | 526 | 87 | 220 | 23 | 9 | 241 | 49 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | AZL Mariners | — | 192 | 171 | 29 | 6 | 0 | 0 | 17 | 70 | 2 | 5 | 3 | 170 | 255 | 205 | 460 | 35 | 271 | 36 | 9 | 212 | 30 | — | — | — | — | — | — |
| 2015 | 19 | A+ MLE | 3 teams | — | 383 | 359 | 74 | 12 | 1 | 1 | 20 | 108 | 1 | 8 | 4 | 206 | 253 | 253 | 506 | 47 | 284 | 28 | 5 | 227 | 40 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | 2 teams | — | 607 | 558 | 124 | 18 | 4 | 2 | 42 | 157 | 2 | 10 | 14 | 222 | 287 | 280 | 567 | 57 | 295 | 26 | 7 | 251 | 56 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | 3 teams | — | 610 | 559 | 105 | 31 | 1 | 11 | 44 | 166 | 2 | 14 | 9 | 188 | 255 | 306 | 561 | 118 | 242 | 27 | 7 | 248 | 54 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | 2 teams | — | 423 | 395 | 80 | 8 | 0 | 5 | 22 | 77 | 3 | 6 | 7 | 203 | 251 | 261 | 512 | 58 | 239 | 18 | 5 | 232 | 43 | — | — | — | — | — | — |
| 2019 | 23 | AA MLE | 2 teams | — | 394 | 363 | 80 | 16 | 0 | 4 | 23 | 96 | 5 | 3 | 2 | 220 | 278 | 298 | 576 | 77 | 283 | 24 | 6 | 256 | 60 | — | — | — | — | — | — |
| 2021 | 25 | AAA MLE | 2 teams | — | 307 | 287 | 55 | 6 | 0 | 9 | 17 | 74 | 0 | 2 | 3 | 192 | 242 | 307 | 548 | 115 | 223 | 24 | 6 | 240 | 49 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 3548 | 3187 | 676 | 118 | 13 | 36 | 265 | 878 | 20 | 55 | 50 | 212 | 277 | 291 | 568 | 79 | 279 | 25 | 7 | 210 | 28 | -303 | -9 | +0 | +38 | +77 | -20.1 | |
| / 162G | — | MLE | — | 650 | 584 | 124 | 22 | 2 | 7 | 49 | 161 | 4 | 10 | 9 | 212 | 278 | 293 | 571 | 80 | 278 | 25 | 8 | 210 | 28 | -55 | -2 | +0 | +7 | +14 | -3.7 | |
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 AAAMemphis Redbirds · 204 PAwOBA .289 → .240 (−49)K% 19.1% → 24.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.12% | ÷0.955 | ×1.200 | — | — | 24.03% |
| BB% (unintentional) /PA | 8.33% | ÷1.056 | ×0.690 | — | ×1.033 | 5.63% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.033 | 0.00% |
| Singles /BIP | 19.58% | ÷1.016 | ×0.930 | ×0.995 | ×1.033 | 18.43% |
| Doubles /BIP | 3.50% | ÷1.029 | ×0.830 | ×0.995 | ×1.033 | 2.90% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×0.995 | ×1.033 | 0.00% |
| Home runs /BIP | 5.59% | ÷0.949 | ×0.700 | — | ×1.033 | 4.26% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 106, 3B 130, K 91, BB 111 — 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 ×0.995.
Result: wOBA .289 → .240; ISO .159 → .124; BABIP .244 → .223. 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 AASpringfield Cardinals · 292 PAwOBA .318 → .261 (−58)K% 18.5% → 22.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.49% | ÷0.985 | ×1.220 | — | — | 22.91% |
| BB% (unintentional) /PA | 6.16% | ÷0.965 | ×0.700 | — | ×1.027 | 4.59% |
| HBP% /PA | 1.71% | — | ×0.870 | — | ×1.027 | 1.53% |
| Singles /BIP | 23.00% | ÷0.974 | ×0.920 | ×0.950 | ×1.027 | 21.20% |
| Doubles /BIP | 7.98% | ÷1.070 | ×0.840 | ×0.950 | ×1.027 | 6.11% |
| Triples /BIP | 0.00% | ÷1.108 | ×0.940 | ×0.950 | ×1.027 | 0.00% |
| Home runs /BIP | 2.82% | ÷1.108 | ×0.800 | — | ×1.027 | 2.09% |
Factors used: league row TL. Park (home-season share, regressed): HR 122, 1B 95, 2B 114, 3B 122, K 97, BB 93 — 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 ×0.950.
Result: wOBA .318 → .261; ISO .131 → .096; BABIP .317 → .278. 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+Palm Beach Cardinals · 102 PAwOBA .288 → .243 (−45)K% 20.6% → 28.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.59% | ÷1.014 | ×1.420 | — | — | 28.83% |
| BB% (unintentional) /PA | 11.76% | ÷0.991 | ×0.750 | — | ×0.998 | 8.89% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.998 | 0.00% |
| Singles /BIP | 28.12% | ÷1.048 | ×0.920 | — | ×0.998 | 24.64% |
| Doubles /BIP | 6.25% | ÷1.047 | ×0.960 | — | ×0.998 | 5.72% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | — | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.912 | ×0.880 | — | ×0.998 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 110, 2B 109, 3B 80, K 103, BB 98 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).
Result: wOBA .288 → .243; ISO .047 → .043; BABIP .338 → .299. 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 APeoria Chiefs · 259 PAwOBA .283 → .232 (−51)K% 13.9% → 18.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.90% | ÷1.030 | ×1.360 | — | — | 18.35% |
| BB% (unintentional) /PA | 7.34% | ÷0.987 | ×0.690 | — | — | 5.13% |
| HBP% /PA | 1.16% | — | ×0.780 | — | — | 0.90% |
| Singles /BIP | 24.00% | ÷1.041 | ×0.920 | ×0.994 | — | 21.08% |
| Doubles /BIP | 3.00% | ÷0.968 | ×0.830 | ×0.994 | — | 2.56% |
| Triples /BIP | 0.00% | ÷0.948 | ×0.910 | ×0.994 | — | 0.00% |
| Home runs /BIP | 2.00% | ÷0.981 | ×0.800 | — | — | 1.63% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 108, 2B 94, 3B 90, K 106, BB 97 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.
Result: wOBA .283 → .232; ISO .076 → .062; BABIP .274 → .239. 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 A+Palm Beach Cardinals · 281 PAwOBA .281 → .253 (−28)K% 15.7% → 22.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.66% | ÷1.007 | ×1.420 | — | — | 22.08% |
| BB% (unintentional) /PA | 9.96% | ÷0.990 | ×0.750 | — | ×1.027 | 7.75% |
| HBP% /PA | 0.71% | — | ×0.930 | — | ×1.027 | 0.68% |
| Singles /BIP | 16.00% | ÷0.992 | ×0.920 | ×0.967 | ×1.027 | 14.74% |
| Doubles /BIP | 8.00% | ÷0.970 | ×0.960 | ×0.967 | ×1.027 | 7.87% |
| Triples /BIP | 0.50% | ÷1.150 | ×0.810 | ×0.967 | ×1.027 | 0.35% |
| Home runs /BIP | 2.00% | ÷0.824 | ×0.880 | — | ×1.027 | 2.19% |
Factors used: league row FSL. Park (home-season share, regressed): HR 65, 1B 98, 2B 94, 3B 130, K 101, BB 98 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.
Result: wOBA .281 → .253; ISO .123 → .121; BABIP .247 → .232. 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 AClinton LumberKings · 173 PAwOBA .290 → .240 (−51)K% 25.4% → 35.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.43% | ÷0.972 | ×1.360 | — | — | 35.59% |
| BB% (unintentional) /PA | 9.83% | ÷1.036 | ×0.690 | — | ×1.015 | 6.64% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.015 | 0.00% |
| Singles /BIP | 17.92% | ÷0.951 | ×0.920 | ×1.001 | ×1.015 | 17.61% |
| Doubles /BIP | 8.49% | ÷0.950 | ×0.830 | ×1.001 | ×1.015 | 7.53% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | ×1.001 | ×1.015 | 0.00% |
| Home runs /BIP | 4.72% | ÷0.931 | ×0.800 | — | ×1.015 | 4.12% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 90, 2B 90, 3B 130, K 94, BB 107 — 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 ×1.001.
Result: wOBA .290 → .240; ISO .160 → .132; BABIP .272 → .257. 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 AClinton LumberKings · 530 PAwOBA .288 → .251 (−38)K% 19.1% → 25.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.06% | ÷1.003 | ×1.360 | — | — | 25.84% |
| BB% (unintentional) /PA | 10.00% | ÷1.019 | ×0.690 | — | ×1.030 | 6.98% |
| HBP% /PA | 0.38% | — | ×0.780 | — | ×1.030 | 0.30% |
| Singles /BIP | 27.32% | ÷1.055 | ×0.920 | ×1.005 | ×1.030 | 24.66% |
| Doubles /BIP | 4.23% | ÷0.832 | ×0.830 | ×1.005 | ×1.030 | 4.36% |
| Triples /BIP | 0.85% | ÷0.900 | ×0.910 | ×1.005 | ×1.030 | 0.88% |
| Home runs /BIP | 0.56% | ÷0.976 | ×0.800 | — | ×1.030 | 0.48% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 111, 2B 66, 3B 80, K 101, BB 104 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.
Result: wOBA .288 → .251; ISO .059 → .059; BABIP .320 → .295. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2015 A+Bakersfield Blaze · 322 PAwOBA .251 → .220 (−31)K% 21.7% → 29.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.74% | ÷0.988 | ×1.340 | — | — | 29.50% |
| BB% (unintentional) /PA | 5.90% | ÷0.999 | ×0.710 | — | ×1.050 | 4.40% |
| HBP% /PA | 0.31% | — | ×0.790 | — | ×1.050 | 0.26% |
| Singles /BIP | 23.79% | ÷0.995 | ×0.910 | ×1.017 | ×1.050 | 23.25% |
| Doubles /BIP | 5.29% | ÷0.930 | ×0.820 | ×1.017 | ×1.050 | 4.98% |
| Triples /BIP | 0.44% | ÷0.900 | ×0.760 | ×1.017 | ×1.050 | 0.40% |
| Home runs /BIP | 0.44% | ÷1.077 | ×0.920 | — | ×1.050 | 0.40% |
Factors used: league row CAL. Park (home-season share, regressed): HR 115, 1B 99, 2B 86, 3B 80, K 98, BB 100 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.
Result: wOBA .251 → .220; ISO .057 → .050; BABIP .291 → .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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .