Yonathan Perlaza
2B El Paso Chihuahuas| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 23 | AATennessee Smo… | 547 | .255/.359/.491 | 23 | 15 | 93 | — | .218/.297/.409 |
| 2023 | 24 | AAA/INTL2 orgs | 625 | .275/.381/.495 | 23 | 15 | 100 | — | .236/.316/.421 |
| 2025 | 26 | AAA/INTL2 orgs | 732 | .296/.393/.498 | 22 | 19 | 109 | — | .268/.330/.422 |
| 2027PROJ10% MLB | 28 | MLBSD | 16 | .248/.313/.395 | 0 | 0 | 102 | 0.0 | |
| 2028PROJ33% MLB | 29 | MLBSD | 161 | .246/.311/.389 | 4 | 3 | 100 | 0.4 | |
| 2029PROJ46% MLB | 30 | MLBSD | 239 | .243/.308/.382 | 6 | 3 | 97 | 0.5 |
Tools · ContractCON 60 / POW 55
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) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK | DSL Cubs 1 | — | 245 | 223 | 57 | 12 | 4 | 3 | 18 | 50 | 1 | 17 | 11 | 256 | 314 | 386 | 700 | 130 | 314 | 20 | 7 | 309 | 23 | — | — | — | — | — | — |
| 2017 | 18 | ROK | AZL Cubs | — | 109 | 102 | 24 | 4 | 2 | 0 | 6 | 25 | 0 | 4 | 3 | 235 | 278 | 314 | 592 | 78 | 312 | 23 | 6 | 265 | 9 | — | — | — | — | — | — |
| 2018 | 19 | ROK | AZL Cubs 1 | — | 200 | 183 | 58 | 9 | 2 | 1 | 15 | 40 | 0 | 9 | 3 | 317 | 369 | 404 | 773 | 87 | 396 | 20 | 8 | 345 | 57 | — | — | — | — | — | — |
| 2019 | 20 | A | South Bend Cubs | — | 97 | 84 | 20 | 5 | 0 | 1 | 12 | 26 | 0 | 0 | 1 | 238 | 333 | 333 | 667 | 95 | 333 | 27 | 12 | 305 | 43 | — | — | — | — | — | — |
| 2021 | 22 | A+ | South Bend Cubs | — | 404 | 357 | 100 | 24 | 1 | 15 | 38 | 95 | 3 | 6 | 4 | 280 | 354 | 479 | 833 | 199 | 337 | 24 | 9 | 363 | 82 | — | — | — | — | — | — |
| 2021 | 22 | INTL | Aguilas del Zulia | — | 91 | 85 | 24 | 7 | 0 | 0 | 3 | 14 | 0 | 2 | 0 | 282 | 307 | 365 | 672 | 82 | 329 | 15 | 3 | 291 | 83 | — | — | — | — | — | — |
| 2022 | 23 | AA | Tennessee Smokies | — | 547 | 470 | 120 | 36 | 3 | 23 | 72 | 127 | 4 | 15 | 6 | 255 | 359 | 491 | 850 | 236 | 302 | 23 | 13 | 374 | 93 | — | — | — | — | — | — |
| 2023 | 24 | AAA | Iowa Cubs | — | 543 | 461 | 131 | 40 | 3 | 23 | 76 | 119 | 4 | 13 | 5 | 284 | 390 | 534 | 924 | 249 | 336 | 22 | 14 | 403 | 105 | — | — | — | — | — | — |
| 2023 | 24 | INTL | Aguilas del Zulia | — | 82 | 70 | 15 | 2 | 0 | 0 | 10 | 16 | 1 | 2 | 0 | 214 | 321 | 243 | 564 | 29 | 273 | 20 | 12 | 269 | 68 | — | — | — | — | — | — |
| 2025 | 26 | AAA | El Paso Chihuahuas | — | 624 | 541 | 166 | 49 | 2 | 19 | 74 | 125 | 4 | 15 | 7 | 307 | 394 | 510 | 904 | 203 | 366 | 20 | 12 | 396 | 106 | — | — | — | — | — | — |
| 2025 | 26 | INTL | Aguilas del Zulia | — | 108 | 83 | 19 | 7 | 0 | 3 | 19 | 13 | 2 | 4 | 1 | 229 | 385 | 422 | 806 | 193 | 225 | 12 | 18 | 353 | 125 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK MLE | DSL Cubs 1 | — | 245 | 228 | 37 | 7 | 2 | 1 | 13 | 61 | 1 | 17 | 11 | 162 | 211 | 224 | 434 | 61 | 215 | 25 | 5 | 202 | 23 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | AZL Cubs | — | 109 | 104 | 17 | 3 | 1 | 0 | 4 | 36 | 0 | 4 | 3 | 163 | 194 | 212 | 406 | 48 | 251 | 33 | 4 | 181 | 9 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | AZL Cubs 1 | — | 200 | 189 | 45 | 6 | 1 | 1 | 9 | 58 | 0 | 9 | 3 | 238 | 273 | 296 | 569 | 58 | 328 | 29 | 4 | 252 | 57 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | South Bend Cubs | — | 97 | 88 | 17 | 4 | 0 | 1 | 8 | 37 | 0 | 0 | 1 | 193 | 260 | 273 | 533 | 80 | 304 | 38 | 8 | 232 | 43 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | South Bend Cubs | — | 404 | 369 | 85 | 18 | 1 | 13 | 26 | 127 | 3 | 6 | 4 | 230 | 286 | 390 | 677 | 160 | 295 | 31 | 6 | 289 | 82 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | Tennessee Smokies | — | 547 | 491 | 107 | 34 | 3 | 18 | 51 | 162 | 4 | 15 | 6 | 218 | 297 | 409 | 706 | 191 | 284 | 30 | 9 | 305 | 93 | — | — | — | — | — | — |
| 2023 | 24 | AAA MLE | Iowa Cubs | — | 543 | 484 | 114 | 33 | 3 | 17 | 53 | 140 | 4 | 13 | 5 | 236 | 316 | 421 | 738 | 186 | 295 | 26 | 10 | 323 | 105 | — | — | — | — | — | — |
| 2025 | 26 | AAA MLE | El Paso Chihuahuas | — | 624 | 567 | 152 | 41 | 2 | 14 | 48 | 154 | 4 | 15 | 7 | 268 | 330 | 422 | 751 | 153 | 336 | 25 | 8 | 325 | 106 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Cubs 1 | — | 245 | 228 | 37 | 7 | 2 | 1 | 13 | 61 | 1 | 17 | 11 | 162 | 211 | 224 | 434 | 61 | 214 | 25 | 5 | 202 | 23 | — | — | — | — | — | — |
| 2016 | 17 | ROK RAW | DSL Cubs 1 | — | 245 | 223 | 57 | 12 | 4 | 3 | 18 | 50 | 1 | 17 | 11 | 256 | 314 | 386 | 700 | 130 | 314 | 20 | 7 | 309 | 23 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | AZL Cubs | — | 109 | 104 | 17 | 3 | 1 | 0 | 4 | 36 | 0 | 4 | 3 | 163 | 194 | 212 | 406 | 48 | 250 | 33 | 4 | 181 | 9 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | AZL Cubs | — | 109 | 102 | 24 | 4 | 2 | 0 | 6 | 25 | 0 | 4 | 3 | 235 | 278 | 314 | 592 | 78 | 312 | 23 | 6 | 265 | 9 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | AZL Cubs 1 | — | 200 | 189 | 45 | 6 | 1 | 1 | 9 | 58 | 0 | 9 | 3 | 238 | 273 | 296 | 569 | 58 | 333 | 29 | 4 | 252 | 57 | — | — | — | — | — | — |
| 2018 | 19 | ROK RAW | AZL Cubs 1 | — | 200 | 183 | 58 | 9 | 2 | 1 | 15 | 40 | 0 | 9 | 3 | 317 | 369 | 404 | 773 | 87 | 396 | 20 | 8 | 345 | 57 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | South Bend Cubs | — | 97 | 88 | 17 | 4 | 0 | 1 | 8 | 37 | 0 | 0 | 1 | 193 | 260 | 273 | 533 | 80 | 320 | 38 | 8 | 232 | 43 | — | — | — | — | — | — |
| 2019 | 20 | A RAW | South Bend Cubs | — | 97 | 84 | 20 | 5 | 0 | 1 | 12 | 26 | 0 | 0 | 1 | 238 | 333 | 333 | 667 | 95 | 333 | 27 | 12 | 305 | 43 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 495 | 451 | 104 | 22 | 1 | 16 | 32 | 155 | 3 | 8 | 4 | 231 | 286 | 390 | 676 | 160 | 307 | 31 | 6 | 289 | 82 | — | — | — | — | — | — |
| 2021 | 22 | A+ RAW | 2 teams | — | 495 | 442 | 124 | 31 | 1 | 15 | 41 | 109 | 3 | 8 | 4 | 281 | 346 | 457 | 803 | 176 | 335 | 22 | 8 | 350 | 82 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | Tennessee Smokies | — | 547 | 491 | 107 | 34 | 3 | 18 | 51 | 162 | 4 | 15 | 6 | 218 | 297 | 409 | 706 | 191 | 285 | 30 | 9 | 305 | 93 | — | — | — | — | — | — |
| 2022 | 23 | AA RAW | Tennessee Smokies | — | 547 | 470 | 120 | 36 | 3 | 23 | 72 | 127 | 4 | 15 | 6 | 255 | 359 | 491 | 850 | 236 | 302 | 23 | 13 | 374 | 93 | — | — | — | — | — | — |
| 2023 | 24 | AAA MLE | 2 teams | — | 625 | 556 | 133 | 38 | 4 | 20 | 61 | 161 | 5 | 15 | 5 | 239 | 320 | 430 | 750 | 191 | 299 | 26 | 10 | 323 | 105 | — | — | — | — | — | — |
| 2023 | 24 | AAA RAW | 2 teams | — | 625 | 531 | 146 | 42 | 3 | 23 | 86 | 135 | 5 | 15 | 5 | 275 | 381 | 495 | 876 | 220 | 327 | 22 | 14 | 385 | 105 | — | — | — | — | — | — |
| 2025 | 26 | AAA MLE | 2 teams | — | 732 | 661 | 177 | 48 | 2 | 16 | 56 | 181 | 6 | 19 | 8 | 268 | 331 | 419 | 750 | 151 | 340 | 25 | 8 | 325 | 106 | — | — | — | — | — | — |
| 2025 | 26 | AAA RAW | 2 teams | — | 732 | 624 | 185 | 56 | 2 | 22 | 93 | 138 | 6 | 19 | 8 | 296 | 393 | 498 | 891 | 202 | 345 | 19 | 13 | 390 | 106 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Cubs 1 | — | 245 | 229 | 37 | 7 | 2 | 1 | 13 | 61 | 1 | 17 | 11 | 162 | 211 | 223 | 433 | 61 | 215 | 25 | 5 | 202 | 23 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | AZL Cubs | — | 109 | 104 | 17 | 3 | 1 | 0 | 4 | 36 | 0 | 4 | 3 | 163 | 194 | 212 | 406 | 48 | 251 | 33 | 4 | 181 | 9 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | AZL Cubs 1 | — | 200 | 189 | 45 | 6 | 1 | 1 | 9 | 58 | 0 | 9 | 3 | 238 | 273 | 296 | 569 | 58 | 328 | 29 | 4 | 252 | 57 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | South Bend Cubs | — | 97 | 89 | 17 | 4 | 0 | 1 | 8 | 37 | 0 | 0 | 1 | 191 | 260 | 270 | 530 | 79 | 304 | 38 | 8 | 232 | 43 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 495 | 457 | 104 | 22 | 1 | 16 | 32 | 155 | 3 | 8 | 4 | 228 | 286 | 385 | 671 | 158 | 295 | 31 | 6 | 289 | 82 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | Tennessee Smokies | — | 547 | 487 | 107 | 34 | 3 | 18 | 51 | 162 | 4 | 15 | 6 | 220 | 297 | 413 | 709 | 193 | 284 | 30 | 9 | 305 | 93 | — | — | — | — | — | — |
| 2023 | 24 | AAA MLE | 2 teams | — | 625 | 554 | 133 | 38 | 4 | 20 | 61 | 161 | 5 | 15 | 5 | 240 | 320 | 431 | 751 | 191 | 295 | 26 | 10 | 323 | 105 | — | — | — | — | — | — |
| 2025 | 26 | AAA MLE | 2 teams | — | 732 | 664 | 177 | 48 | 2 | 16 | 56 | 181 | 6 | 19 | 8 | 267 | 331 | 417 | 748 | 151 | 336 | 25 | 8 | 325 | 106 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2025 | 26 | AAA MLE | 2 teams | — | 732 | 664 | 177 | 48 | 2 | 16 | 56 | 181 | 6 | 19 | 8 | 267 | 331 | 417 | 748 | 151 | 336 | 25 | 8 | 325 | 106 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 28 | MLB MLE | SD | 10% | 380 | 344 | 88 | 21 | 2 | 9 | 30 | 92 | 3 | 8 | 3 | 253 | 318 | 401 | 719 | 148 | 316 | 24 | 8 | 319 | 102 | +1 | +0 | +0 | +1 | +8 | 0.5 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 28 | MLB CTX | SD | 10% | 16 | 15 | 3 | 1 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 248 | 313 | 395 | 708 | 146 | 309 | 25 | 6 | 315 | 102 | +0 | +0 | +0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 29 | MLB MLE | SD | 33% | 493 | 448 | 112 | 26 | 2 | 12 | 39 | 120 | 3 | 8 | 3 | 250 | 315 | 395 | 710 | 145 | 314 | 24 | 8 | 316 | 100 | -0 | +0 | -1 | +2 | +11 | 1.2 |
| 2029 | 30 | MLB MLE | SD | 46% | 521 | 471 | 117 | 27 | 2 | 12 | 41 | 128 | 4 | 6 | 3 | 247 | 312 | 388 | 700 | 141 | 311 | 25 | 8 | 312 | 97 | -2 | +0 | -2 | +2 | +11 | 0.9 |
| 2030 | 31 | MLB MLE | SD | 54% | 533 | 483 | 118 | 27 | 2 | 12 | 41 | 132 | 4 | 3 | 2 | 243 | 307 | 380 | 687 | 137 | 307 | 25 | 8 | 306 | 93 | -4 | -0 | -3 | +2 | +12 | 0.6 |
| 2031 | 32 | MLB MLE | SD | 58% | 221 | 201 | 49 | 11 | 1 | 5 | 17 | 55 | 1 | 1 | 1 | 238 | 301 | 368 | 670 | 131 | 302 | 25 | 8 | 299 | 89 | -3 | -0 | -4 | +1 | +5 | -0.1 |
| 2028 | 29 | MLB CTX | SD | 33% | 161 | 146 | 36 | 8 | 1 | 4 | 13 | 39 | 1 | 3 | 1 | 246 | 311 | 389 | 700 | 143 | 307 | 24 | 8 | 311 | 100 | -0 | +0 | -0 | +1 | +3 | 0.4 |
| 2029 | 30 | MLB CTX | SD | 46% | 239 | 216 | 53 | 12 | 1 | 6 | 19 | 59 | 2 | 3 | 1 | 243 | 308 | 382 | 690 | 139 | 304 | 25 | 8 | 307 | 97 | -1 | +0 | -1 | +1 | +5 | 0.5 |
| 2030 | 31 | MLB CTX | SD | 54% | 286 | 260 | 62 | 14 | 1 | 6 | 22 | 71 | 2 | 1 | 1 | 239 | 303 | 373 | 677 | 135 | 300 | 25 | 8 | 302 | 93 | -2 | -0 | -2 | +1 | +6 | 0.3 |
| 2031 | 32 | MLB CTX | SD | 58% | 128 | 116 | 27 | 6 | 0 | 3 | 10 | 32 | 1 | 0 | 0 | 233 | 298 | 362 | 660 | 129 | 296 | 25 | 8 | 295 | 89 | -2 | +0 | -2 | +0 | +3 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 814 | 738 | 178 | 40 | 3 | 19 | 64 | 201 | 6 | 7 | 3 | 241 | 307 | 381 | 688 | 140 | 305 | 25 | 8 | 304 | 89 | -5 | +0 | -5 | +3 | +18 | 1.1 | |
| / 162G | — | A+C | — | 650 | 589 | 142 | 32 | 2 | 15 | 51 | 161 | 5 | 6 | 2 | 241 | 307 | 379 | 686 | 138 | 305 | 25 | 8 | 304 | 89 | -4 | +0 | -4 | +2 | +14 | 0.9 | |
| Career | — | MLE | — | 4973 | 4512 | 1069 | 261 | 22 | 118 | 384 | 1323 | 32 | 108 | 51 | 237 | 301 | 383 | 684 | 146 | 306 | 27 | 8 | 299 | 89 | -9 | +0 | -10 | +7 | +42 | 3.1 | |
| / 162G | — | MLE | — | 650 | 590 | 139 | 34 | 3 | 15 | 50 | 173 | 4 | 14 | 7 | 236 | 299 | 380 | 679 | 144 | 305 | 27 | 8 | 299 | 89 | -3 | +0 | -3 | +2 | +14 | 1.0 | |
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.
2025 AAAEl Paso Chihuahuas · 624 PAwOBA .388 → .325 (−64)K% 20.0% → 24.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.03% | ÷0.973 | ×1.200 | — | — | 24.71% |
| BB% (unintentional) /PA | 11.70% | ÷1.054 | ×0.690 | — | ×1.003 | 7.68% |
| HBP% /PA | 0.64% | — | ×0.940 | — | ×1.003 | 0.60% |
| Singles /BIP | 23.08% | ÷0.999 | ×0.930 | ×1.050 | ×1.003 | 22.62% |
| Doubles /BIP | 11.78% | ÷1.042 | ×0.830 | ×1.050 | ×1.003 | 9.88% |
| Triples /BIP | 0.48% | ÷1.150 | ×0.970 | ×1.050 | ×1.003 | 0.43% |
| Home runs /BIP | 4.57% | ÷0.981 | ×0.700 | — | ×1.003 | 3.27% |
Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 100, 2B 108, 3B 130, K 95, BB 111 — 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 ×1.050.
Result: wOBA .388 → .325; ISO .203 → .159; BABIP .366 → .336. 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).
2023 AAAIowa Cubs · 543 PAwOBA .394 → .323 (−71)K% 21.9% → 25.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.92% | ÷1.019 | ×1.200 | — | — | 25.81% |
| BB% (unintentional) /PA | 14.00% | ÷1.014 | ×0.690 | — | ×1.033 | 9.84% |
| HBP% /PA | 0.74% | — | ×0.940 | — | ×1.033 | 0.72% |
| Singles /BIP | 19.01% | ÷1.025 | ×0.930 | ×0.996 | ×1.033 | 17.75% |
| Doubles /BIP | 11.70% | ÷1.049 | ×0.830 | ×0.996 | ×1.033 | 9.52% |
| Triples /BIP | 0.88% | ÷0.916 | ×0.970 | ×0.996 | ×1.033 | 0.96% |
| Home runs /BIP | 6.73% | ÷0.965 | ×0.700 | — | ×1.033 | 5.04% |
Factors used: league row International League. Park (home-season share, regressed): HR 93, 1B 105, 2B 110, 3B 83, K 104, BB 103 — 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 ×0.996.
Result: wOBA .394 → .323; ISO .249 → .199; BABIP .336 → .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).
2022 AATennessee Smokies · 547 PAwOBA .364 → .305 (−58)K% 23.2% → 29.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.22% | ÷0.958 | ×1.220 | — | — | 29.58% |
| BB% (unintentional) /PA | 12.80% | ÷0.940 | ×0.680 | — | ×1.012 | 9.37% |
| HBP% /PA | 0.73% | — | ×0.840 | — | ×1.012 | 0.62% |
| Singles /BIP | 16.91% | ÷0.982 | ×0.920 | ×0.990 | ×1.012 | 15.87% |
| Doubles /BIP | 10.50% | ÷0.929 | ×0.910 | ×0.990 | ×1.012 | 10.30% |
| Triples /BIP | 0.87% | ÷0.973 | ×0.880 | ×0.990 | ×1.012 | 0.79% |
| Home runs /BIP | 6.71% | ÷1.010 | ×0.800 | — | ×1.012 | 5.37% |
Factors used: league row SL. Park (home-season share, regressed): HR 102, 1B 96, 2B 86, 3B 95, K 92, BB 88 — 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 ×0.990.
Result: wOBA .364 → .305; ISO .236 → .197; BABIP .302 → .284. 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).
2021 A+South Bend Cubs · 404 PAwOBA .356 → .289 (−67)K% 23.5% → 31.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.51% | ÷1.012 | ×1.350 | — | — | 31.37% |
| BB% (unintentional) /PA | 8.91% | ÷0.968 | ×0.710 | — | ×0.998 | 6.52% |
| HBP% /PA | 0.74% | — | ×0.810 | — | ×0.998 | 0.60% |
| Singles /BIP | 22.90% | ÷0.990 | ×0.910 | ×1.009 | ×0.998 | 21.19% |
| Doubles /BIP | 9.16% | ÷1.080 | ×0.830 | ×1.009 | ×0.998 | 7.09% |
| Triples /BIP | 0.38% | ÷1.150 | ×0.820 | ×1.009 | ×0.998 | 0.27% |
| Home runs /BIP | 5.73% | ÷0.928 | ×0.830 | — | ×0.998 | 5.11% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 98, 2B 116, 3B 130, K 102, BB 94 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.
Result: wOBA .356 → .289; ISO .199 → .160; BABIP .337 → .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).
2019 ASouth Bend Cubs · 97 PAwOBA .297 → .232 (−66)K% 26.8% → 37.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.80% | ÷0.968 | ×1.360 | — | — | 37.67% |
| BB% (unintentional) /PA | 12.37% | ÷0.994 | ×0.690 | — | ×1.015 | 8.71% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.015 | 0.00% |
| Singles /BIP | 24.14% | ÷0.987 | ×0.920 | — | ×1.015 | 22.83% |
| Doubles /BIP | 8.62% | ÷1.026 | ×0.830 | — | ×1.015 | 7.08% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | — | ×1.015 | 0.00% |
| Home runs /BIP | 1.72% | ÷0.914 | ×0.800 | — | ×1.015 | 1.53% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 97, 2B 105, 3B 130, K 94, BB 99 — 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).
Result: wOBA .297 → .232; ISO .095 → .072; BABIP .333 → .304. 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 ROKAZL Cubs 1 · 200 PAwOBA .337 → .252 (−85)K% 20.0% → 28.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷1.000 | ×1.440 | — | — | 28.80% |
| BB% (unintentional) /PA | 7.00% | ÷1.000 | ×0.620 | — | ×0.995 | 4.32% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 32.17% | ÷1.000 | ×0.820 | ×1.043 | ×0.995 | 27.39% |
| Doubles /BIP | 6.29% | ÷1.000 | ×0.720 | ×1.043 | ×0.995 | 4.70% |
| Triples /BIP | 1.40% | ÷1.000 | ×0.720 | ×1.043 | ×0.995 | 1.05% |
| Home runs /BIP | 0.70% | ÷1.000 | ×0.780 | — | ×0.995 | 0.54% |
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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.
Result: wOBA .337 → .252; ISO .087 → .062; BABIP .396 → .328. 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 ROKAZL Cubs · 109 PAwOBA .258 → .181 (−76)K% 22.9% → 33.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.94% | ÷1.000 | ×1.440 | — | — | 33.03% |
| BB% (unintentional) /PA | 5.50% | ÷1.000 | ×0.620 | — | ×1.008 | 3.44% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×1.008 | 0.00% |
| Singles /BIP | 23.38% | ÷1.000 | ×0.820 | ×1.007 | ×1.008 | 19.44% |
| Doubles /BIP | 5.19% | ÷1.000 | ×0.720 | ×1.007 | ×1.008 | 3.79% |
| Triples /BIP | 2.60% | ÷1.000 | ×0.720 | ×1.007 | ×1.008 | 1.90% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.008 | 0.00% |
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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.
Result: wOBA .258 → .181; ISO .078 → .052; BABIP .312 → .251. 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 DSLDSL Cubs 1 · 245 PAwOBA .304 → .202 (−102)K% 20.4% → 24.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.41% | ÷1.000 | ×1.220 | — | — | 24.90% |
| BB% (unintentional) /PA | 7.35% | ÷1.000 | ×0.700 | — | ×1.008 | 5.18% |
| HBP% /PA | 0.41% | — | ×0.700 | — | ×1.008 | 0.29% |
| Singles /BIP | 21.97% | ÷1.000 | ×0.680 | ×1.048 | ×1.008 | 15.77% |
| Doubles /BIP | 6.94% | ÷1.000 | ×0.600 | ×1.048 | ×1.008 | 4.39% |
| Triples /BIP | 2.31% | ÷1.000 | ×0.600 | ×1.048 | ×1.008 | 1.46% |
| Home runs /BIP | 1.73% | ÷1.000 | ×0.470 | — | ×1.008 | 0.82% |
Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.
Result: wOBA .304 → .202; ISO .130 → .075; BABIP .314 → .215. 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 — .