Andrés Chaparro
1B Washington Nationals| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 25 | AAA/INTL2 orgs | 531 | .328/.405/.576 | 28 | 4 | 124 | — | .274/.336/.457 |
| 2024 | 25 | MLBWSH | 132 | .215/.280/.413 | 4 | 1 | 93 | -1.0 | |
| 2025 | 26 | AAA/ROK/INTL2 orgs | 325 | .296/.401/.529 | 16 | 1 | 114 | — | .227/.310/.459 |
| 2025 | 26 | MLBWSH | 73 | .182/.250/.258 | 1 | 0 | 44 | -1.1 | |
| 2026 | 27 | AAAWSH | 143 | .260/.338/.465 | 6 | 1 | 70 | — | .206/.268/.344 |
| 2026 | 27 | MLBWSH | 228 | .263/.360/.525 | 13 | 0 | 148 | 1.1 | |
| 2027PROJ | 28 | MLBWSH | 238 | .227/.307/.407 | 9 | 1 | 100 | 0.2 | |
| 2028PROJ82% MLB | 29 | MLBWSH | 248 | .224/.304/.400 | 9 | 1 | 98 | 0.0 | |
| 2029PROJ82% MLB | 30 | MLBWSH | 244 | .221/.300/.392 | 8 | 1 | 94 | -0.1 |
Tools · Recent Form · Splits · ContractCON 40 / POW 50
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 Yankees 1 | — | 213 | 185 | 44 | 9 | 5 | 0 | 25 | 43 | 1 | 2 | 2 | 238 | 332 | 341 | 672 | 103 | 306 | 20 | 12 | 305 | 22 | — | — | — | — | — | — |
| 2017 | 18 | ROK | Pulaski Yankees | — | 189 | 169 | 40 | 9 | 0 | 7 | 17 | 41 | 0 | 2 | 1 | 237 | 306 | 414 | 721 | 178 | 270 | 22 | 9 | 316 | 45 | — | — | — | — | — | — |
| 2021 | 22 | A+ | Hudson Valley Renegades | — | 155 | 129 | 34 | 4 | 3 | 8 | 24 | 34 | 2 | 1 | 1 | 264 | 387 | 527 | 914 | 264 | 299 | 22 | 15 | 400 | 93 | — | — | — | — | — | — |
| 2021 | 22 | A | Tampa Tarpons | — | 278 | 230 | 62 | 17 | 0 | 7 | 36 | 59 | 7 | 3 | 3 | 270 | 385 | 435 | 819 | 165 | 325 | 21 | 13 | 363 | 78 | — | — | — | — | — | — |
| 2021 | 22 | INTL | Aguilas del Zulia | — | 124 | 101 | 27 | 10 | 0 | 6 | 19 | 27 | 3 | 0 | 0 | 267 | 398 | 545 | 943 | 277 | 304 | 22 | 15 | 409 | 163 | — | — | — | — | — | — |
| 2022 | 23 | AA | Somerset Patriots | — | 271 | 239 | 69 | 16 | 0 | 19 | 25 | 54 | 6 | 3 | 0 | 289 | 370 | 594 | 965 | 305 | 299 | 20 | 9 | 416 | 116 | — | — | — | — | — | — |
| 2022 | 23 | A | Tampa Tarpons | — | 17 | 17 | 7 | 1 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 412 | 412 | 647 | 1.059 | 235 | 429 | 12 | 0 | 464 | 123 | — | — | — | — | — | — |
| 2023 | 24 | AAA | Scranton/Wilkes-Barre RailRiders | — | 601 | 523 | 129 | 24 | 2 | 25 | 65 | 131 | 5 | 4 | 0 | 247 | 336 | 444 | 779 | 197 | 277 | 22 | 11 | 342 | 72 | — | — | — | — | — | — |
| 2023 | 24 | INTL | Aguilas del Zulia | — | 148 | 128 | 43 | 13 | 0 | 5 | 16 | 22 | 3 | 1 | 1 | 336 | 422 | 555 | 976 | 219 | 373 | 15 | 11 | 426 | 175 | — | — | — | — | — | — |
| 2024 | 25 | MLB | Washington Nationals | — | 132 | 121 | 26 | 12 | 0 | 4 | 7 | 24 | 4 | 1 | 1 | 215 | 280 | 413 | 694 | 198 | 237 | 18 | 5 | 308 | 93 | -1 | -0 | +1 | -12 | +3 | -1.0 |
| 2024 | 25 | AAA | Rochester Red Wings | — | 457 | 402 | 132 | 27 | 1 | 23 | 49 | 82 | 4 | 3 | 0 | 328 | 407 | 572 | 979 | 244 | 365 | 18 | 11 | 426 | 116 | — | — | — | — | — | — |
| 2024 | 25 | INTL | Aguilas del Zulia | — | 74 | 65 | 21 | 3 | 0 | 5 | 8 | 11 | 0 | 1 | 0 | 323 | 397 | 600 | 997 | 277 | 320 | 15 | 11 | 427 | 175 | — | — | — | — | — | — |
| 2025 | 26 | MLB | Washington Nationals | — | 73 | 66 | 12 | 2 | 0 | 1 | 5 | 22 | 1 | 0 | 0 | 182 | 250 | 258 | 508 | 76 | 250 | 30 | 7 | 233 | 44 | -5 | +0 | -1 | -7 | +2 | -1.1 |
| 2025 | 26 | AAA | Rochester Red Wings | — | 216 | 182 | 50 | 13 | 0 | 14 | 32 | 50 | 1 | 1 | 0 | 275 | 386 | 577 | 963 | 302 | 303 | 23 | 15 | 415 | 106 | — | — | — | — | — | — |
| 2025 | 26 | ROK | FCL Nationals | — | 17 | 15 | 4 | 1 | 0 | 1 | 2 | 5 | 0 | 0 | 0 | 267 | 353 | 533 | 886 | 267 | 333 | 29 | 12 | 386 | 30 | — | — | — | — | — | — |
| 2025 | 26 | INTL | Aguilas del Zulia | — | 92 | 77 | 27 | 2 | 0 | 1 | 12 | 15 | 1 | 0 | 0 | 351 | 444 | 416 | 860 | 65 | 413 | 16 | 13 | 386 | 147 | — | — | — | — | — | — |
| 2026 | 27 | MLB | Washington Nationals | — | 228 | 198 | 52 | 13 | 0 | 13 | 25 | 53 | 5 | 0 | 0 | 263 | 360 | 525 | 885 | 263 | 295 | 23 | 11 | 388 | 148 | +13 | +0 | -0 | -7 | +5 | 1.1 |
| 2026 | 27 | AAA | Rochester Red Wings | — | 143 | 127 | 33 | 8 | 0 | 6 | 14 | 26 | 1 | 1 | 1 | 260 | 338 | 465 | 803 | 205 | 281 | 18 | 10 | 353 | 70 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 433 | 385 | 90 | 27 | 0 | 18 | 37 | 99 | 10 | 1 | 1 | 234 | 317 | 444 | 761 | 210 | 268 | 23 | 9 | 337 | 114 | +7 | -0 | +0 | -26 | +9 | -0.9 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK MLE | DSL Yankees 1 | — | 213 | 192 | 28 | 5 | 3 | 0 | 18 | 52 | 1 | 2 | 2 | 146 | 223 | 203 | 426 | 57 | 200 | 24 | 8 | 200 | 22 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | Pulaski Yankees | — | 189 | 175 | 32 | 7 | 0 | 5 | 11 | 58 | 0 | 2 | 1 | 183 | 231 | 309 | 540 | 126 | 228 | 31 | 6 | 234 | 45 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | Hudson Valley Renegades | — | 155 | 136 | 27 | 3 | 2 | 6 | 17 | 46 | 2 | 1 | 1 | 199 | 297 | 382 | 679 | 184 | 256 | 30 | 11 | 306 | 93 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | Tampa Tarpons | — | 278 | 242 | 52 | 13 | 0 | 6 | 24 | 80 | 7 | 3 | 3 | 215 | 304 | 343 | 647 | 128 | 276 | 29 | 9 | 284 | 78 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | Somerset Patriots | — | 271 | 246 | 61 | 14 | 0 | 14 | 18 | 66 | 6 | 3 | 0 | 248 | 315 | 476 | 790 | 228 | 277 | 24 | 7 | 339 | 116 | — | — | — | — | — | — |
| 2022 | 23 | A MLE | Tampa Tarpons | — | 17 | 17 | 6 | 1 | 0 | 1 | 0 | 3 | 0 | 1 | 0 | 353 | 353 | 588 | 941 | 235 | 353 | 18 | 0 | 350 | 123 | — | — | — | — | — | — |
| 2023 | 24 | AAA MLE | Scranton/Wilkes-Barre RailRiders | — | 601 | 545 | 113 | 22 | 2 | 18 | 43 | 157 | 5 | 4 | 0 | 207 | 272 | 354 | 626 | 147 | 246 | 26 | 7 | 275 | 72 | — | — | — | — | — | — |
| 2024 | 25 | MLB MLE | Washington Nationals | — | 132 | 121 | 26 | 12 | 0 | 4 | 7 | 24 | 4 | 1 | 1 | 215 | 280 | 413 | 694 | 198 | 237 | 18 | 5 | 306 | 93 | -1 | -0 | +1 | -12 | +3 | -1.0 |
| 2024 | 25 | AAA MLE | Rochester Red Wings | — | 457 | 416 | 114 | 23 | 1 | 17 | 35 | 103 | 4 | 3 | 0 | 274 | 336 | 457 | 793 | 183 | 320 | 23 | 8 | 340 | 116 | — | — | — | — | — | — |
| 2025 | 26 | MLB MLE | Washington Nationals | — | 73 | 66 | 12 | 2 | 0 | 1 | 5 | 22 | 1 | 0 | 0 | 182 | 250 | 258 | 508 | 76 | 250 | 30 | 7 | 233 | 44 | -5 | +0 | -1 | -7 | +2 | -1.1 |
| 2025 | 26 | AAA MLE | Rochester Red Wings | — | 216 | 191 | 44 | 11 | 0 | 11 | 23 | 58 | 1 | 1 | 0 | 230 | 316 | 461 | 777 | 230 | 260 | 27 | 11 | 325 | 106 | — | — | — | — | — | — |
| 2025 | 26 | ROK MLE | FCL Nationals | — | 17 | 16 | 3 | 1 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 188 | 235 | 438 | 673 | 250 | 235 | 41 | 6 | 213 | 30 | — | — | — | — | — | — |
| 2026 | 27 | MLB MLE | Washington Nationals | — | 228 | 198 | 52 | 13 | 0 | 13 | 25 | 53 | 5 | 0 | 0 | 263 | 360 | 525 | 885 | 263 | 295 | 23 | 11 | 386 | 148 | +13 | +0 | -0 | -7 | +5 | 1.1 |
| 2026 | 27 | AAA MLE | Rochester Red Wings | — | 143 | 131 | 27 | 6 | 0 | 4 | 10 | 31 | 1 | 1 | 1 | 206 | 268 | 344 | 611 | 137 | 237 | 22 | 7 | 272 | 70 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Yankees 1 | — | 213 | 192 | 28 | 5 | 3 | 0 | 18 | 52 | 1 | 2 | 2 | 146 | 223 | 203 | 426 | 57 | 197 | 24 | 8 | 200 | 22 | — | — | — | — | — | — |
| 2016 | 17 | ROK RAW | DSL Yankees 1 | — | 213 | 185 | 44 | 9 | 5 | 0 | 25 | 43 | 1 | 2 | 2 | 238 | 332 | 341 | 672 | 103 | 306 | 20 | 12 | 305 | 22 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | Pulaski Yankees | — | 189 | 175 | 32 | 7 | 0 | 5 | 11 | 58 | 0 | 2 | 1 | 183 | 231 | 309 | 540 | 126 | 239 | 31 | 6 | 234 | 45 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | Pulaski Yankees | — | 189 | 169 | 40 | 9 | 0 | 7 | 17 | 41 | 0 | 2 | 1 | 237 | 306 | 414 | 721 | 178 | 270 | 22 | 9 | 316 | 45 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | 3 teams | — | 557 | 486 | 102 | 21 | 3 | 15 | 53 | 162 | 12 | 4 | 4 | 210 | 303 | 358 | 661 | 148 | 276 | 29 | 10 | 292 | 84 | — | — | — | — | — | — |
| 2021 | 22 | A RAW | 3 teams | — | 557 | 460 | 123 | 31 | 3 | 21 | 79 | 120 | 12 | 4 | 4 | 267 | 388 | 485 | 873 | 217 | 314 | 22 | 14 | 384 | 84 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | 2 teams | — | 288 | 263 | 67 | 15 | 0 | 15 | 18 | 69 | 6 | 4 | 0 | 255 | 317 | 483 | 800 | 228 | 289 | 24 | 6 | 340 | 116 | — | — | — | — | — | — |
| 2022 | 23 | AA RAW | 2 teams | — | 288 | 256 | 76 | 17 | 0 | 20 | 25 | 56 | 6 | 4 | 0 | 297 | 373 | 598 | 970 | 301 | 309 | 19 | 9 | 419 | 116 | — | — | — | — | — | — |
| 2023 | 24 | AAA MLE | 2 teams | — | 749 | 678 | 141 | 28 | 2 | 23 | 54 | 196 | 8 | 5 | 1 | 208 | 274 | 357 | 631 | 149 | 252 | 26 | 7 | 275 | 72 | — | — | — | — | — | — |
| 2023 | 24 | AAA RAW | 2 teams | — | 749 | 651 | 172 | 37 | 2 | 30 | 81 | 153 | 8 | 5 | 1 | 264 | 353 | 465 | 818 | 201 | 298 | 20 | 11 | 359 | 72 | — | — | — | — | — | — |
| 2024 | 25 | AAA MLE | 3 teams | — | 663 | 605 | 156 | 39 | 1 | 23 | 47 | 143 | 8 | 5 | 1 | 258 | 320 | 440 | 759 | 182 | 301 | 22 | 7 | 332 | 111 | — | — | — | — | — | — |
| 2024 | 25 | AAA RAW | 3 teams | — | 663 | 588 | 179 | 42 | 1 | 32 | 64 | 117 | 8 | 5 | 1 | 304 | 380 | 543 | 923 | 238 | 333 | 18 | 10 | 402 | 111 | — | — | — | — | — | — |
| 2025 | 26 | AAA MLE | 4 teams | — | 398 | 354 | 75 | 17 | 0 | 16 | 37 | 114 | 3 | 1 | 0 | 212 | 292 | 395 | 687 | 184 | 259 | 29 | 9 | 297 | 87 | — | — | — | — | — | — |
| 2025 | 26 | AAA RAW | 4 teams | — | 398 | 340 | 93 | 18 | 0 | 17 | 51 | 92 | 3 | 1 | 0 | 274 | 373 | 476 | 850 | 203 | 323 | 23 | 13 | 374 | 87 | — | — | — | — | — | — |
| 2026 | 27 | MLB MLE | 2 teams | — | 371 | 329 | 79 | 19 | 0 | 17 | 35 | 84 | 6 | 1 | 1 | 240 | 324 | 453 | 777 | 213 | 271 | 23 | 9 | 342 | 118 | +8 | -0 | -0 | -7 | +8 | 0.9 |
| 2026 | 27 | MLB RAW | 2 teams | — | 371 | 325 | 85 | 21 | 0 | 19 | 39 | 79 | 6 | 1 | 1 | 262 | 351 | 502 | 853 | 240 | 289 | 21 | 11 | 374 | 118 | +8 | -0 | -0 | -7 | +8 | 0.9 |
| 2016 | 17 | ROK MLE | DSL Yankees 1 | — | 213 | 192 | 28 | 5 | 3 | 0 | 18 | 52 | 1 | 2 | 2 | 146 | 223 | 203 | 426 | 57 | 200 | 24 | 8 | 200 | 22 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | Pulaski Yankees | — | 189 | 176 | 32 | 7 | 0 | 5 | 11 | 58 | 0 | 2 | 1 | 182 | 231 | 307 | 538 | 125 | 228 | 31 | 6 | 234 | 45 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | 3 teams | — | 557 | 487 | 102 | 21 | 3 | 15 | 53 | 162 | 12 | 4 | 4 | 209 | 303 | 357 | 660 | 148 | 269 | 29 | 10 | 292 | 84 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | 2 teams | — | 288 | 262 | 67 | 15 | 0 | 15 | 18 | 69 | 6 | 4 | 0 | 256 | 317 | 485 | 802 | 229 | 281 | 24 | 6 | 340 | 116 | — | — | — | — | — | — |
| 2023 | 24 | AAA MLE | 2 teams | — | 749 | 681 | 141 | 28 | 2 | 23 | 54 | 196 | 8 | 5 | 1 | 207 | 274 | 355 | 630 | 148 | 246 | 26 | 7 | 275 | 72 | — | — | — | — | — | — |
| 2024 | 25 | AAA MLE | 3 teams | — | 663 | 603 | 156 | 39 | 1 | 23 | 47 | 143 | 8 | 5 | 1 | 259 | 320 | 441 | 761 | 182 | 301 | 22 | 7 | 332 | 111 | — | — | — | — | — | — |
| 2025 | 26 | AAA MLE | 4 teams | — | 398 | 355 | 75 | 17 | 0 | 16 | 37 | 114 | 3 | 1 | 0 | 211 | 292 | 394 | 686 | 183 | 256 | 29 | 9 | 297 | 87 | — | — | — | — | — | — |
| 2026 | 27 | MLB MLE | 2 teams | — | 371 | 327 | 79 | 19 | 0 | 17 | 35 | 84 | 6 | 1 | 1 | 242 | 324 | 456 | 780 | 214 | 273 | 23 | 9 | 342 | 118 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 25 | AAA MLE | 3 teams | — | 663 | 603 | 156 | 39 | 1 | 23 | 47 | 143 | 8 | 5 | 1 | 259 | 320 | 441 | 761 | 182 | 301 | 22 | 7 | 332 | 111 | — | — | — | — | — | — |
| 2025 | 26 | AAA MLE | 4 teams | — | 398 | 355 | 75 | 17 | 0 | 16 | 37 | 114 | 3 | 1 | 0 | 211 | 292 | 394 | 686 | 183 | 256 | 29 | 9 | 297 | 87 | — | — | — | — | — | — |
| 2026 | 27 | MLB MLE | 2 teams | — | 371 | 327 | 79 | 19 | 0 | 17 | 35 | 84 | 6 | 1 | 1 | 242 | 324 | 456 | 780 | 214 | 273 | 23 | 9 | 342 | 118 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 28 | MLB MLE | WSH | 100% | 412 | 367 | 84 | 20 | 1 | 15 | 36 | 94 | 6 | 2 | 1 | 227 | 307 | 407 | 713 | 180 | 262 | 23 | 9 | 316 | 100 | +0 | +0 | +2 | -7 | +9 | 0.3 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 28 | MLB CTX | WSH | 100% | 238 | 212 | 49 | 12 | 0 | 9 | 21 | 54 | 3 | 1 | 1 | 227 | 307 | 407 | 714 | 180 | 263 | 23 | 9 | 317 | 100 | +0 | -0 | +1 | -4 | +5 | 0.2 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 29 | MLB MLE | WSH | 82% | 303 | 269 | 61 | 14 | 1 | 11 | 27 | 70 | 4 | 1 | 1 | 224 | 303 | 400 | 703 | 176 | 260 | 23 | 9 | 312 | 98 | -1 | -0 | -0 | -5 | +7 | -0.0 |
| 2029 | 30 | MLB MLE | WSH | 82% | 297 | 265 | 58 | 14 | 0 | 10 | 26 | 70 | 4 | 1 | 0 | 220 | 299 | 391 | 690 | 170 | 257 | 24 | 9 | 307 | 94 | -2 | +0 | -1 | -5 | +6 | -0.2 |
| 2028 | 29 | MLB CTX | WSH | 82% | 248 | 221 | 50 | 12 | 0 | 9 | 22 | 57 | 3 | 1 | 0 | 224 | 304 | 400 | 704 | 176 | 261 | 23 | 9 | 313 | 98 | -1 | +0 | -0 | -4 | +5 | 0.0 |
| 2029 | 30 | MLB CTX | WSH | 82% | 244 | 218 | 48 | 12 | 0 | 8 | 21 | 57 | 3 | 1 | 0 | 221 | 300 | 392 | 691 | 171 | 258 | 23 | 9 | 308 | 94 | -2 | +0 | -1 | -4 | +5 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 925 | 824 | 188 | 51 | 0 | 35 | 80 | 213 | 16 | 3 | 1 | 228 | 309 | 417 | 726 | 189 | 264 | 23 | 9 | 323 | 89 | +5 | +0 | -1 | -34 | +20 | -1.0 | |
| / 162G | — | A+C | — | 650 | 579 | 133 | 36 | 0 | 25 | 56 | 150 | 11 | 2 | 1 | 230 | 309 | 421 | 731 | 192 | 266 | 23 | 9 | 323 | 89 | +3 | +0 | -1 | -24 | +14 | -0.7 | |
| Career | — | MLE | — | 4266 | 3828 | 847 | 190 | 10 | 144 | 347 | 1072 | 55 | 27 | 12 | 221 | 295 | 389 | 684 | 168 | 266 | 25 | 8 | 300 | 89 | +4 | -0 | -0 | -41 | +28 | -0.9 | |
| / 162G | — | MLE | — | 650 | 583 | 130 | 29 | 2 | 22 | 53 | 163 | 8 | 4 | 2 | 223 | 297 | 393 | 689 | 170 | 268 | 25 | 8 | 300 | 89 | +2 | -0 | -0 | -21 | +14 | -0.5 | |
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.
2026 AAARochester Red Wings · 143 PAwOBA .346 → .272 (−74)K% 18.2% → 21.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.18% | ÷1.000 | ×1.200 | — | — | 21.82% |
| BB% (unintentional) /PA | 9.79% | ÷1.000 | ×0.690 | — | ×1.003 | 6.78% |
| HBP% /PA | 0.70% | — | ×0.940 | — | ×1.003 | 0.66% |
| Singles /BIP | 18.81% | ÷1.000 | ×0.930 | ×0.951 | ×1.003 | 16.69% |
| Doubles /BIP | 7.92% | ÷1.000 | ×0.830 | ×0.951 | ×1.003 | 6.27% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | ×0.951 | ×1.003 | 0.00% |
| Home runs /BIP | 5.94% | ÷1.000 | ×0.700 | — | ×1.003 | 4.17% |
Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.
Result: wOBA .346 → .272; ISO .205 → .150; BABIP .281 → .237. 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).
2025 AAARochester Red Wings · 216 PAwOBA .406 → .325 (−80)K% 23.1% → 27.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.15% | ÷1.028 | ×1.200 | — | — | 27.03% |
| BB% (unintentional) /PA | 14.81% | ÷0.978 | ×0.690 | — | ×1.018 | 10.64% |
| HBP% /PA | 0.46% | — | ×0.940 | — | ×1.018 | 0.44% |
| Singles /BIP | 17.42% | ÷0.987 | ×0.930 | ×0.965 | ×1.018 | 16.12% |
| Doubles /BIP | 9.85% | ÷1.000 | ×0.830 | ×0.965 | ×1.018 | 8.03% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×0.965 | ×1.018 | 0.00% |
| Home runs /BIP | 10.61% | ÷0.960 | ×0.700 | — | ×1.018 | 7.88% |
Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 97, 2B 100, 3B 130, K 106, BB 96 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.
Result: wOBA .406 → .325; ISO .302 → .233; BABIP .303 → .260. 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).
2025 ROKFCL Nationals · 17 PAwOBA .356 → .213 (−143)K% 29.4% → 42.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.41% | ÷0.995 | ×1.440 | — | — | 42.59% |
| BB% (unintentional) /PA | 5.88% | ÷1.012 | ×0.620 | — | ×0.940 | 3.39% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.940 | 0.00% |
| Singles /BIP | 20.00% | ÷0.946 | ×0.820 | — | ×0.940 | 16.30% |
| Doubles /BIP | 10.00% | ÷1.138 | ×0.720 | — | ×0.940 | 5.95% |
| Triples /BIP | 0.00% | ÷0.929 | ×0.720 | — | ×0.940 | 0.00% |
| Home runs /BIP | 10.00% | ÷1.328 | ×0.780 | — | ×0.940 | 5.52% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 166, 1B 89, 2B 128, 3B 86, K 99, BB 102 — applied at half strength. Age: age 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).
Result: wOBA .356 → .213; ISO .267 → .138; BABIP .333 → .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).
2024 AAARochester Red Wings · 457 PAwOBA .415 → .340 (−75)K% 17.9% → 22.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.94% | ÷0.958 | ×1.200 | — | — | 22.47% |
| BB% (unintentional) /PA | 10.28% | ÷0.969 | ×0.690 | — | ×1.033 | 7.56% |
| HBP% /PA | 0.88% | — | ×0.940 | — | ×1.033 | 0.85% |
| Singles /BIP | 25.31% | ÷1.029 | ×0.930 | ×0.971 | ×1.033 | 22.95% |
| Doubles /BIP | 8.44% | ÷0.962 | ×0.830 | ×0.971 | ×1.033 | 7.30% |
| Triples /BIP | 0.31% | ÷1.150 | ×0.970 | ×0.971 | ×1.033 | 0.26% |
| Home runs /BIP | 7.19% | ÷0.986 | ×0.700 | — | ×1.033 | 5.27% |
Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 106, 2B 92, 3B 130, K 92, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.971.
Result: wOBA .415 → .340; ISO .244 → .186; BABIP .365 → .320. 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 AAAScranton/Wilkes-Barre RailRiders · 601 PAwOBA .336 → .275 (−62)K% 21.8% → 26.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.80% | ÷0.998 | ×1.200 | — | — | 26.22% |
| BB% (unintentional) /PA | 10.48% | ÷1.059 | ×0.690 | — | ×1.048 | 7.16% |
| HBP% /PA | 0.83% | — | ×0.940 | — | ×1.048 | 0.82% |
| Singles /BIP | 19.90% | ÷1.029 | ×0.930 | ×0.950 | ×1.048 | 17.90% |
| Doubles /BIP | 6.12% | ÷0.903 | ×0.830 | ×0.950 | ×1.048 | 5.60% |
| Triples /BIP | 0.51% | ÷1.048 | ×0.970 | ×0.950 | ×1.048 | 0.47% |
| Home runs /BIP | 6.38% | ÷1.017 | ×0.700 | — | ×1.048 | 4.60% |
Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 106, 2B 81, 3B 110, K 100, BB 112 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .336 → .275; ISO .197 → .154; BABIP .277 → .246. 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 AASomerset Patriots · 271 PAwOBA .406 → .339 (−67)K% 19.9% → 24.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.93% | ÷0.998 | ×1.220 | — | — | 24.37% |
| BB% (unintentional) /PA | 9.23% | ÷0.985 | ×0.700 | — | ×1.027 | 6.74% |
| HBP% /PA | 2.21% | — | ×0.850 | — | ×1.027 | 1.93% |
| Singles /BIP | 18.38% | ÷0.983 | ×0.970 | ×0.970 | ×1.027 | 18.06% |
| Doubles /BIP | 8.65% | ÷0.972 | ×0.860 | ×0.970 | ×1.027 | 7.62% |
| Triples /BIP | 0.00% | ÷0.969 | ×0.950 | ×0.970 | ×1.027 | 0.00% |
| Home runs /BIP | 10.27% | ÷1.032 | ×0.780 | — | ×1.027 | 7.97% |
Factors used: league row EL. Park (home-season share, regressed): HR 106, 1B 97, 2B 94, 3B 94, K 100, BB 97 — 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 ×0.970.
Result: wOBA .406 → .339; ISO .305 → .239; BABIP .299 → .277. 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 ATampa Tarpons · 17 PAwOBA .450 → .350 (−100)K% 11.8% → 16.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.76% | ÷0.975 | ×1.360 | — | — | 16.41% |
| BB% (unintentional) /PA | 0.00% | ÷1.056 | ×0.690 | — | ×0.990 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.990 | 0.00% |
| Singles /BIP | 33.33% | ÷1.085 | ×0.920 | — | ×0.990 | 27.98% |
| Doubles /BIP | 6.67% | ÷0.989 | ×0.830 | — | ×0.990 | 5.54% |
| Triples /BIP | 0.00% | ÷0.937 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 6.67% | ÷1.026 | ×0.800 | — | ×0.990 | 5.15% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 117, 2B 98, 3B 87, K 95, BB 111 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average).
Result: wOBA .450 → .350; ISO .235 → .175; BABIP .429 → .353. 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 ATampa Tarpons · 278 PAwOBA .360 → .284 (−76)K% 21.2% → 28.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.22% | ÷1.000 | ×1.360 | — | — | 28.86% |
| BB% (unintentional) /PA | 12.59% | ÷1.000 | ×0.690 | — | — | 8.69% |
| HBP% /PA | 2.52% | — | ×0.780 | — | — | 1.96% |
| Singles /BIP | 22.22% | ÷1.000 | ×0.920 | ×0.958 | — | 19.58% |
| Doubles /BIP | 9.94% | ÷1.000 | ×0.830 | ×0.958 | — | 7.90% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.910 | ×0.958 | — | 0.00% |
| Home runs /BIP | 4.09% | ÷1.000 | ×0.800 | — | — | 3.27% |
Factors used: level-wide A 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 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 ×0.958.
Result: wOBA .360 → .284; ISO .165 → .130; BABIP .325 → .276. 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 — .