Luis Robert Jr.
CF Baltimore Orioles| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 26 | MLBCWS | 425 | .224/.278/.379 | 14 | 23 | 81 | 0.3 |
| 2025 | 27 | MLBCWS | 431 | .223/.297/.364 | 14 | 33 | 82 | 1.0 |
| 2026 | 28 | MLBBAL | 230 | .221/.303/.407 | 11 | 2 | 95 | 0.4 |
| 2027PROJ | 29 | MLBBAL | 248 | .246/.315/.416 | 10 | 12 | 101 | 0.9 |
| 2028PROJ | 30 | MLBBAL | 255 | .243/.312/.408 | 10 | 10 | 98 | 0.6 |
| 2029PROJ | 31 | MLBBAL | 239 | .239/.307/.398 | 9 | 7 | 94 | 0.3 |
Tools · Splits · ContractCON 45 / 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) | |||||||||||||||||||||||||||||||
| 2017 | 19 | ROK | DSL White Sox | — | 114 | 84 | 26 | 8 | 1 | 3 | 22 | 23 | 8 | 12 | 3 | 310 | 491 | 536 | 1.027 | 226 | 397 | 20 | 19 | 456 | 80 | — | — | — | — | — | — |
| 2018 | 20 | A+ | Winston-Salem Dash | — | 140 | 123 | 30 | 6 | 1 | 0 | 8 | 37 | 6 | 8 | 2 | 244 | 321 | 309 | 630 | 65 | 341 | 26 | 6 | 287 | 36 | — | — | — | — | — | — |
| 2018 | 20 | A | Kannapolis Intimidators | — | 50 | 45 | 13 | 3 | 1 | 0 | 4 | 12 | 1 | 4 | 2 | 289 | 360 | 400 | 760 | 111 | 394 | 24 | 8 | 343 | 65 | — | — | — | — | — | — |
| 2018 | 20 | ROK | ACL White Sox | — | 18 | 18 | 7 | 2 | 1 | 0 | 0 | 3 | 0 | 3 | 0 | 389 | 389 | 611 | 1.000 | 222 | 467 | 17 | 0 | 433 | 82 | — | — | — | — | — | — |
| 2018 | 20 | INTL | Glendale Desert Dogs | — | 79 | 74 | 24 | 2 | 0 | 2 | 5 | 13 | 0 | 5 | 0 | 324 | 367 | 432 | 800 | 108 | 373 | 16 | 6 | 358 | 129 | — | — | — | — | — | — |
| 2019 | 21 | AAA | Charlotte Knights | — | 223 | 202 | 60 | 10 | 5 | 16 | 11 | 55 | 5 | 7 | 3 | 297 | 349 | 634 | 982 | 337 | 324 | 25 | 5 | 412 | 109 | — | — | — | — | — | — |
| 2019 | 21 | AA | Birmingham Barons | — | 244 | 226 | 71 | 16 | 3 | 8 | 13 | 54 | 4 | 21 | 6 | 314 | 362 | 518 | 880 | 204 | 384 | 22 | 5 | 385 | 99 | — | — | — | — | — | — |
| 2019 | 21 | A+ | Winston-Salem Dash | — | 84 | 75 | 34 | 5 | 3 | 8 | 4 | 20 | 5 | 8 | 2 | 453 | 512 | 920 | 1.432 | 467 | 553 | 24 | 5 | 603 | 183 | — | — | — | — | — | — |
| 2020 | 22 | MLB | Chicago White Sox | — | 227 | 202 | 47 | 8 | 0 | 11 | 20 | 73 | 1 | 9 | 2 | 233 | 302 | 436 | 738 | 203 | 300 | 32 | 9 | 322 | 103 | +1 | +1 | +3 | +1 | +5 | 1.1 |
| 2021 | 23 | MLB | Chicago White Sox | — | 296 | 275 | 93 | 22 | 1 | 13 | 14 | 61 | 5 | 6 | 1 | 338 | 381 | 567 | 948 | 229 | 394 | 21 | 5 | 412 | 162 | +22 | +1 | +4 | +1 | +6 | 3.4 |
| 2021 | 23 | AAA | Charlotte Knights | — | 36 | 29 | 8 | 1 | 0 | 1 | 5 | 9 | 2 | 2 | 0 | 276 | 417 | 414 | 830 | 138 | 368 | 25 | 14 | 382 | 96 | — | — | — | — | — | — |
| 2022 | 24 | MLB | Chicago White Sox | — | 401 | 380 | 108 | 18 | 0 | 12 | 17 | 77 | 3 | 11 | 3 | 284 | 320 | 426 | 746 | 142 | 329 | 19 | 4 | 331 | 108 | +4 | +1 | +1 | +1 | +9 | 1.7 |
| 2023 | 25 | MLB | Chicago White Sox | — | 595 | 546 | 144 | 36 | 1 | 38 | 30 | 172 | 12 | 20 | 4 | 264 | 314 | 542 | 856 | 278 | 314 | 29 | 5 | 368 | 129 | +21 | +2 | +9 | +2 | +13 | 4.8 |
| 2024 | 26 | MLB | Chicago White Sox | — | 425 | 393 | 88 | 19 | 0 | 14 | 28 | 141 | 2 | 23 | 6 | 224 | 278 | 379 | 657 | 155 | 310 | 33 | 7 | 292 | 81 | -10 | +2 | -1 | +2 | +9 | 0.3 |
| 2024 | 26 | AAA | Charlotte Knights | — | 22 | 20 | 2 | 0 | 0 | 1 | 0 | 6 | 2 | 0 | 0 | 100 | 182 | 250 | 432 | 150 | 77 | 27 | 0 | 203 | -10 | — | — | — | — | — | — |
| 2025 | 27 | MLB | Chicago White Sox | — | 431 | 382 | 85 | 12 | 0 | 14 | 40 | 112 | 2 | 33 | 8 | 223 | 297 | 364 | 661 | 141 | 274 | 26 | 9 | 295 | 82 | -9 | +3 | +5 | +2 | +9 | 1.0 |
| 2026 | 28 | MLB | Baltimore Orioles | — | 230 | 204 | 45 | 5 | 0 | 11 | 24 | 55 | 0 | 2 | 3 | 221 | 303 | 407 | 709 | 186 | 243 | 24 | 10 | 314 | 95 | -1 | -1 | +1 | +1 | +5 | 0.4 |
| 2026 | 28 | AAA | Syracuse Mets | — | 21 | 18 | 4 | 1 | 0 | 1 | 3 | 4 | 0 | 0 | 0 | 222 | 333 | 444 | 778 | 222 | 231 | 19 | 14 | 346 | 62 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 2605 | 2382 | 610 | 120 | 2 | 113 | 173 | 691 | 25 | 104 | 27 | 256 | 312 | 450 | 762 | 194 | 312 | 27 | 7 | 334 | 112 | +38 | +10 | +22 | +10 | +56 | 13.9 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 19 | ROK MLE | DSL White Sox | — | 114 | 93 | 18 | 5 | 1 | 2 | 13 | 28 | 8 | 12 | 3 | 194 | 342 | 333 | 675 | 140 | 234 | 25 | 11 | 287 | 80 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | Winston-Salem Dash | — | 140 | 126 | 25 | 5 | 1 | 0 | 5 | 57 | 6 | 8 | 2 | 198 | 263 | 254 | 517 | 56 | 321 | 41 | 4 | 221 | 36 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | Kannapolis Intimidators | — | 50 | 46 | 10 | 2 | 1 | 0 | 3 | 16 | 1 | 4 | 2 | 217 | 280 | 304 | 584 | 87 | 351 | 32 | 6 | 264 | 65 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | ACL White Sox | — | 18 | 18 | 5 | 1 | 1 | 0 | 0 | 4 | 0 | 3 | 0 | 278 | 278 | 444 | 722 | 167 | 357 | 22 | 0 | 290 | 82 | — | — | — | — | — | — |
| 2019 | 21 | AAA MLE | Charlotte Knights | — | 223 | 206 | 50 | 9 | 5 | 11 | 7 | 69 | 5 | 7 | 3 | 243 | 284 | 495 | 780 | 252 | 283 | 31 | 3 | 329 | 109 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | Birmingham Barons | — | 244 | 229 | 61 | 14 | 2 | 6 | 10 | 65 | 4 | 21 | 6 | 266 | 309 | 424 | 732 | 157 | 343 | 27 | 4 | 314 | 99 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Winston-Salem Dash | — | 84 | 76 | 26 | 3 | 2 | 6 | 3 | 29 | 5 | 8 | 2 | 342 | 405 | 671 | 1.076 | 329 | 482 | 35 | 4 | 438 | 183 | — | — | — | — | — | — |
| 2020 | 22 | MLB MLE | Chicago White Sox | — | 227 | 204 | 47 | 8 | 0 | 11 | 20 | 73 | 1 | 9 | 2 | 230 | 302 | 431 | 734 | 201 | 300 | 32 | 9 | 320 | 103 | +1 | +1 | +3 | +1 | +5 | 1.1 |
| 2021 | 23 | MLB MLE | Chicago White Sox | — | 296 | 276 | 93 | 22 | 1 | 13 | 13 | 61 | 5 | 6 | 1 | 337 | 378 | 565 | 943 | 228 | 394 | 21 | 4 | 407 | 162 | +22 | +1 | +4 | +1 | +6 | 3.4 |
| 2021 | 23 | AAA MLE | Charlotte Knights | — | 36 | 31 | 8 | 1 | 0 | 1 | 3 | 11 | 2 | 2 | 0 | 258 | 361 | 387 | 748 | 129 | 346 | 31 | 8 | 310 | 96 | — | — | — | — | — | — |
| 2022 | 24 | MLB MLE | Chicago White Sox | — | 401 | 381 | 108 | 18 | 0 | 12 | 16 | 77 | 3 | 11 | 3 | 283 | 318 | 425 | 743 | 142 | 329 | 19 | 4 | 328 | 108 | +4 | +1 | +1 | +1 | +9 | 1.7 |
| 2023 | 25 | MLB MLE | Chicago White Sox | — | 595 | 556 | 143 | 36 | 1 | 37 | 25 | 172 | 12 | 20 | 4 | 257 | 304 | 525 | 829 | 268 | 314 | 29 | 4 | 359 | 129 | +21 | +2 | +9 | +2 | +13 | 4.8 |
| 2024 | 26 | MLB MLE | Chicago White Sox | — | 425 | 396 | 88 | 19 | 0 | 14 | 26 | 141 | 2 | 23 | 6 | 222 | 274 | 376 | 650 | 154 | 310 | 33 | 6 | 287 | 81 | -10 | +2 | -1 | +2 | +9 | 0.3 |
| 2024 | 26 | AAA MLE | Charlotte Knights | — | 22 | 20 | 2 | 0 | 0 | 1 | 0 | 7 | 2 | 0 | 0 | 100 | 182 | 250 | 432 | 150 | 68 | 32 | 0 | 153 | -10 | — | — | — | — | — | — |
| 2025 | 27 | MLB MLE | Chicago White Sox | — | 431 | 388 | 85 | 12 | 0 | 14 | 37 | 112 | 2 | 33 | 8 | 219 | 290 | 358 | 649 | 139 | 274 | 26 | 9 | 289 | 82 | -9 | +3 | +5 | +2 | +9 | 1.0 |
| 2026 | 28 | MLB MLE | Baltimore Orioles | — | 230 | 204 | 45 | 5 | 0 | 11 | 24 | 55 | 0 | 2 | 3 | 221 | 303 | 407 | 709 | 186 | 243 | 24 | 10 | 308 | 95 | -1 | -1 | +1 | +1 | +5 | 0.4 |
| 2026 | 28 | AAA MLE | Syracuse Mets | — | 21 | 19 | 4 | 1 | 0 | 1 | 2 | 5 | 0 | 0 | 0 | 211 | 286 | 421 | 707 | 211 | 198 | 24 | 10 | 260 | 62 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | DSL White Sox | — | 114 | 93 | 18 | 5 | 1 | 2 | 13 | 28 | 8 | 12 | 3 | 194 | 342 | 333 | 675 | 140 | 254 | 25 | 11 | 287 | 80 | — | — | — | — | — | — |
| 2017 | 19 | ROK RAW | DSL White Sox | — | 114 | 84 | 26 | 8 | 1 | 3 | 22 | 23 | 8 | 12 | 3 | 310 | 491 | 536 | 1.027 | 226 | 397 | 20 | 19 | 456 | 80 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | 4 teams | — | 287 | 266 | 55 | 11 | 3 | 0 | 11 | 106 | 7 | 20 | 4 | 207 | 257 | 271 | 528 | 64 | 340 | 37 | 4 | 237 | 47 | — | — | — | — | — | — |
| 2018 | 20 | A+ RAW | 4 teams | — | 287 | 260 | 74 | 13 | 3 | 2 | 17 | 65 | 7 | 20 | 4 | 285 | 345 | 381 | 726 | 96 | 369 | 23 | 6 | 325 | 47 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | 3 teams | — | 551 | 511 | 136 | 26 | 9 | 23 | 20 | 163 | 14 | 36 | 11 | 266 | 312 | 487 | 799 | 221 | 342 | 30 | 4 | 339 | 116 | — | — | — | — | — | — |
| 2019 | 21 | AA RAW | 3 teams | — | 551 | 503 | 165 | 31 | 11 | 32 | 28 | 129 | 14 | 36 | 11 | 328 | 380 | 624 | 1.004 | 296 | 383 | 23 | 5 | 429 | 116 | — | — | — | — | — | — |
| 2020 | 22 | MLB MLE | Chicago White Sox | — | 227 | 204 | 47 | 8 | 0 | 11 | 20 | 73 | 1 | 9 | 2 | 230 | 302 | 431 | 734 | 201 | 295 | 32 | 9 | 320 | 103 | +1 | +1 | +3 | +1 | +5 | 1.1 |
| 2020 | 22 | MLB RAW | Chicago White Sox | — | 227 | 202 | 47 | 8 | 0 | 11 | 20 | 73 | 1 | 9 | 2 | 233 | 302 | 436 | 738 | 203 | 300 | 32 | 9 | 322 | 103 | +1 | +1 | +3 | +1 | +5 | 1.1 |
| 2021 | 23 | MLB MLE | 2 teams | — | 332 | 307 | 100 | 23 | 1 | 13 | 16 | 72 | 7 | 8 | 1 | 326 | 373 | 534 | 907 | 208 | 388 | 22 | 5 | 397 | 155 | +22 | +1 | +4 | +1 | +7 | 3.5 |
| 2021 | 23 | MLB RAW | 2 teams | — | 332 | 304 | 101 | 23 | 1 | 14 | 19 | 70 | 7 | 8 | 1 | 332 | 385 | 553 | 937 | 220 | 392 | 21 | 6 | 409 | 155 | +22 | +1 | +4 | +1 | +7 | 3.5 |
| 2022 | 24 | MLB MLE | Chicago White Sox | — | 401 | 381 | 108 | 18 | 0 | 12 | 16 | 77 | 3 | 11 | 3 | 283 | 318 | 425 | 743 | 142 | 328 | 19 | 4 | 328 | 108 | +4 | +1 | +1 | +1 | +9 | 1.7 |
| 2022 | 24 | MLB RAW | Chicago White Sox | — | 401 | 380 | 108 | 18 | 0 | 12 | 17 | 77 | 3 | 11 | 3 | 284 | 320 | 426 | 746 | 142 | 329 | 19 | 4 | 331 | 108 | +4 | +1 | +1 | +1 | +9 | 1.7 |
| 2023 | 25 | MLB MLE | Chicago White Sox | — | 595 | 556 | 143 | 36 | 1 | 37 | 25 | 172 | 12 | 20 | 4 | 257 | 304 | 525 | 829 | 268 | 304 | 29 | 4 | 359 | 129 | +21 | +2 | +9 | +2 | +13 | 4.8 |
| 2023 | 25 | MLB RAW | Chicago White Sox | — | 595 | 546 | 144 | 36 | 1 | 38 | 30 | 172 | 12 | 20 | 4 | 264 | 314 | 542 | 856 | 278 | 314 | 29 | 5 | 368 | 129 | +21 | +2 | +9 | +2 | +13 | 4.8 |
| 2024 | 26 | MLB MLE | 2 teams | — | 447 | 416 | 89 | 19 | 0 | 14 | 26 | 148 | 4 | 23 | 6 | 214 | 267 | 361 | 627 | 147 | 294 | 33 | 6 | 281 | 76 | -13 | +2 | -1 | +2 | +10 | 0.0 |
| 2024 | 26 | MLB RAW | 2 teams | — | 447 | 413 | 90 | 19 | 0 | 15 | 28 | 147 | 4 | 23 | 6 | 218 | 274 | 373 | 646 | 155 | 298 | 33 | 6 | 288 | 76 | -13 | +2 | -1 | +2 | +10 | 0.0 |
| 2025 | 27 | MLB MLE | Chicago White Sox | — | 431 | 388 | 85 | 12 | 0 | 14 | 37 | 112 | 2 | 33 | 8 | 219 | 290 | 358 | 649 | 139 | 268 | 26 | 9 | 289 | 82 | -9 | +3 | +5 | +2 | +9 | 1.0 |
| 2025 | 27 | MLB RAW | Chicago White Sox | — | 431 | 382 | 85 | 12 | 0 | 14 | 40 | 112 | 2 | 33 | 8 | 223 | 297 | 364 | 661 | 141 | 274 | 26 | 9 | 295 | 82 | -9 | +3 | +5 | +2 | +9 | 1.0 |
| 2026 | 28 | MLB MLE | 2 teams | — | 251 | 223 | 48 | 6 | 0 | 11 | 26 | 60 | 0 | 2 | 3 | 215 | 297 | 390 | 687 | 175 | 240 | 24 | 10 | 304 | 92 | -2 | -1 | +1 | +1 | +5 | 0.4 |
| 2026 | 28 | MLB RAW | 2 teams | — | 251 | 222 | 49 | 6 | 0 | 12 | 27 | 59 | 0 | 2 | 3 | 221 | 305 | 410 | 715 | 189 | 242 | 24 | 11 | 317 | 92 | -2 | -1 | +1 | +1 | +5 | 0.4 |
| 2017 | 19 | ROK MLE | DSL White Sox | — | 114 | 92 | 18 | 5 | 1 | 2 | 13 | 28 | 8 | 12 | 3 | 196 | 342 | 337 | 679 | 141 | 234 | 25 | 11 | 287 | 80 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | 4 teams | — | 287 | 267 | 55 | 11 | 3 | 0 | 11 | 106 | 7 | 20 | 4 | 206 | 257 | 270 | 527 | 64 | 331 | 37 | 4 | 237 | 47 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | 3 teams | — | 551 | 512 | 136 | 26 | 9 | 23 | 20 | 163 | 14 | 36 | 11 | 266 | 312 | 486 | 798 | 221 | 340 | 30 | 4 | 339 | 116 | — | — | — | — | — | — |
| 2020 | 22 | MLB MLE | Chicago White Sox | — | 227 | 204 | 47 | 8 | 0 | 11 | 20 | 73 | 1 | 9 | 2 | 230 | 302 | 431 | 734 | 201 | 300 | 32 | 9 | 320 | 103 | — | — | — | — | — | — |
| 2021 | 23 | MLB MLE | 2 teams | — | 332 | 306 | 100 | 23 | 1 | 13 | 16 | 72 | 7 | 8 | 1 | 327 | 373 | 536 | 909 | 209 | 389 | 22 | 5 | 397 | 155 | — | — | — | — | — | — |
| 2022 | 24 | MLB MLE | Chicago White Sox | — | 401 | 379 | 108 | 18 | 0 | 12 | 16 | 77 | 3 | 11 | 3 | 285 | 318 | 427 | 745 | 142 | 329 | 19 | 4 | 328 | 108 | — | — | — | — | — | — |
| 2023 | 25 | MLB MLE | Chicago White Sox | — | 595 | 553 | 143 | 36 | 1 | 37 | 25 | 172 | 12 | 20 | 4 | 259 | 304 | 528 | 832 | 269 | 314 | 29 | 4 | 359 | 129 | — | — | — | — | — | — |
| 2024 | 26 | MLB MLE | 2 teams | — | 447 | 414 | 89 | 19 | 0 | 14 | 26 | 148 | 4 | 23 | 6 | 215 | 267 | 362 | 629 | 147 | 298 | 33 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2025 | 27 | MLB MLE | Chicago White Sox | — | 431 | 389 | 85 | 12 | 0 | 14 | 37 | 112 | 2 | 33 | 8 | 219 | 290 | 357 | 648 | 139 | 274 | 26 | 9 | 289 | 82 | — | — | — | — | — | — |
| 2026 | 28 | MLB MLE | 2 teams | — | 251 | 223 | 48 | 6 | 0 | 11 | 26 | 60 | 0 | 2 | 3 | 215 | 297 | 390 | 687 | 175 | 239 | 24 | 10 | 304 | 92 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 26 | MLB MLE | 2 teams | — | 447 | 414 | 89 | 19 | 0 | 14 | 26 | 148 | 4 | 23 | 6 | 215 | 267 | 362 | 629 | 147 | 298 | 33 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2025 | 27 | MLB MLE | Chicago White Sox | — | 431 | 389 | 85 | 12 | 0 | 14 | 37 | 112 | 2 | 33 | 8 | 219 | 290 | 357 | 648 | 139 | 274 | 26 | 9 | 289 | 82 | — | — | — | — | — | — |
| 2026 | 28 | MLB MLE | 2 teams | — | 251 | 223 | 48 | 6 | 0 | 11 | 26 | 60 | 0 | 2 | 3 | 215 | 297 | 390 | 687 | 175 | 239 | 24 | 10 | 304 | 92 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 29 | MLB MLE | BAL | 100% | 360 | 325 | 78 | 11 | 0 | 14 | 31 | 95 | 1 | 17 | 3 | 242 | 311 | 405 | 717 | 163 | 296 | 26 | 9 | 318 | 101 | +1 | +2 | +1 | +1 | +8 | 0.9 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 29 | MLB CTX | BAL | 100% | 248 | 223 | 55 | 8 | 0 | 10 | 22 | 65 | 1 | 12 | 2 | 246 | 315 | 416 | 732 | 170 | 301 | 26 | 9 | 324 | 101 | +0 | +2 | +1 | +1 | +5 | 0.9 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 30 | MLB MLE | BAL | 100% | 255 | 230 | 54 | 8 | 0 | 9 | 22 | 68 | 1 | 10 | 2 | 239 | 308 | 397 | 705 | 159 | 294 | 27 | 9 | 313 | 98 | -1 | +1 | -1 | +1 | +6 | 0.6 |
| 2029 | 31 | MLB MLE | BAL | 100% | 239 | 216 | 51 | 7 | 0 | 9 | 20 | 65 | 1 | 7 | 2 | 234 | 303 | 387 | 690 | 153 | 291 | 27 | 8 | 307 | 94 | -2 | +1 | -2 | +1 | +5 | 0.3 |
| 2028 | 30 | MLB CTX | BAL | 100% | 255 | 230 | 56 | 8 | 0 | 10 | 22 | 68 | 1 | 10 | 2 | 243 | 312 | 408 | 720 | 165 | 299 | 27 | 9 | 319 | 98 | -1 | +1 | -1 | +1 | +6 | 0.6 |
| 2029 | 31 | MLB CTX | BAL | 100% | 239 | 216 | 51 | 7 | 0 | 9 | 20 | 65 | 1 | 7 | 2 | 239 | 307 | 398 | 705 | 159 | 295 | 27 | 8 | 313 | 94 | -2 | +1 | -2 | +1 | +5 | 0.3 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 3099 | 2828 | 717 | 135 | 2 | 132 | 215 | 824 | 27 | 121 | 31 | 254 | 311 | 443 | 754 | 189 | 310 | 27 | 7 | 331 | 102 | +36 | +12 | +19 | +11 | +67 | 14.8 | |
| / 162G | — | A+C | — | 650 | 593 | 150 | 28 | 0 | 28 | 45 | 173 | 6 | 25 | 7 | 253 | 311 | 442 | 753 | 189 | 309 | 27 | 7 | 331 | 102 | +8 | +2 | +4 | +2 | +14 | 3.1 | |
| Career | — | MLE | — | 4378 | 4014 | 987 | 187 | 15 | 164 | 274 | 1209 | 61 | 203 | 51 | 246 | 304 | 423 | 726 | 177 | 309 | 28 | 6 | 319 | 102 | +37 | +13 | +19 | +12 | +73 | 15.7 | |
| / 162G | — | MLE | — | 650 | 596 | 146 | 28 | 2 | 24 | 41 | 179 | 9 | 30 | 8 | 245 | 303 | 419 | 723 | 174 | 308 | 28 | 6 | 319 | 102 | +7 | +3 | +4 | +2 | +14 | 3.1 | |
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 AAASyracuse Mets · 21 PAwOBA .337 → .260 (−78)K% 19.0% → 22.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.05% | ÷1.000 | ×1.200 | — | — | 22.86% |
| BB% (unintentional) /PA | 14.29% | ÷1.000 | ×0.690 | — | ×0.982 | 9.68% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.982 | 0.00% |
| Singles /BIP | 14.29% | ÷1.000 | ×0.930 | — | ×0.982 | 13.05% |
| Doubles /BIP | 7.14% | ÷1.000 | ×0.830 | — | ×0.982 | 5.82% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | — | ×0.982 | 0.00% |
| Home runs /BIP | 7.14% | ÷1.000 | ×0.700 | — | ×0.982 | 4.91% |
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 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).
Result: wOBA .337 → .260; ISO .222 → .162; BABIP .231 → .198. 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 AAACharlotte Knights · 22 PAwOBA .197 → .153 (−44)K% 27.3% → 33.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.27% | ÷0.991 | ×1.200 | — | — | 33.02% |
| BB% (unintentional) /PA | 0.00% | ÷1.025 | ×0.690 | — | ×1.003 | 0.00% |
| HBP% /PA | 9.09% | — | ×0.940 | — | ×1.003 | 8.57% |
| Singles /BIP | 7.14% | ÷1.033 | ×0.930 | — | ×1.003 | 6.45% |
| Doubles /BIP | 0.00% | ÷0.994 | ×0.830 | — | ×1.003 | 0.00% |
| Triples /BIP | 0.00% | ÷1.049 | ×0.970 | — | ×1.003 | 0.00% |
| Home runs /BIP | 7.14% | ÷1.016 | ×0.700 | — | ×1.003 | 4.94% |
Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 107, 2B 99, 3B 110, K 98, BB 105 — 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).
Result: wOBA .197 → .153; ISO .150 → .095; BABIP .077 → .068. 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 AAACharlotte Knights · 36 PAwOBA .373 → .310 (−63)K% 25.0% → 29.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷1.011 | ×1.200 | — | — | 29.68% |
| BB% (unintentional) /PA | 13.89% | ÷1.053 | ×0.690 | — | ×1.048 | 9.54% |
| HBP% /PA | 5.56% | — | ×0.940 | — | ×1.048 | 5.47% |
| Singles /BIP | 30.00% | ÷0.986 | ×0.930 | — | ×1.048 | 29.64% |
| Doubles /BIP | 5.00% | ÷1.128 | ×0.830 | — | ×1.048 | 3.86% |
| Triples /BIP | 0.00% | ÷1.020 | ×0.920 | — | ×1.048 | 0.00% |
| Home runs /BIP | 5.00% | ÷1.190 | ×0.700 | — | ×1.048 | 3.08% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — 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).
Result: wOBA .373 → .310; ISO .138 → .090; BABIP .368 → .346. 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 AABirmingham Barons · 244 PAwOBA .374 → .314 (−60)K% 22.1% → 26.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.13% | ÷1.007 | ×1.220 | — | — | 26.81% |
| BB% (unintentional) /PA | 5.33% | ÷0.929 | ×0.680 | — | ×1.042 | 4.06% |
| HBP% /PA | 1.64% | — | ×0.840 | — | ×1.042 | 1.43% |
| Singles /BIP | 25.58% | ÷0.998 | ×0.920 | ×0.950 | ×1.042 | 23.34% |
| Doubles /BIP | 9.30% | ÷1.009 | ×0.910 | ×0.950 | ×1.042 | 8.30% |
| Triples /BIP | 1.74% | ÷1.150 | ×0.880 | ×0.950 | ×1.042 | 1.32% |
| Home runs /BIP | 4.65% | ÷0.993 | ×0.800 | — | ×1.042 | 3.91% |
Factors used: league row SL. Park (home-season share, regressed): HR 99, 1B 100, 2B 102, 3B 130, K 101, BB 86 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .374 → .314; ISO .204 → .166; BABIP .384 → .343. 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 AAACharlotte Knights · 223 PAwOBA .409 → .329 (−80)K% 24.7% → 30.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.66% | ÷0.962 | ×1.200 | — | — | 30.78% |
| BB% (unintentional) /PA | 4.93% | ÷1.077 | ×0.690 | — | ×1.050 | 3.32% |
| HBP% /PA | 2.24% | — | ×0.940 | — | ×1.050 | 2.21% |
| Singles /BIP | 19.73% | ÷1.061 | ×0.930 | ×0.950 | ×1.050 | 17.25% |
| Doubles /BIP | 6.80% | ÷0.921 | ×0.830 | ×0.950 | ×1.050 | 6.11% |
| Triples /BIP | 3.40% | ÷0.900 | ×0.970 | ×0.950 | ×1.050 | 3.66% |
| Home runs /BIP | 10.88% | ÷1.212 | ×0.840 | — | ×1.050 | 7.92% |
Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .409 → .329; ISO .337 → .261; BABIP .324 → .283. 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+Winston-Salem Dash · 84 PAwOBA .585 → .438 (−148)K% 23.8% → 34.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.81% | ÷0.972 | ×1.420 | — | — | 34.79% |
| BB% (unintentional) /PA | 4.76% | ÷0.997 | ×0.630 | — | ×1.012 | 3.04% |
| HBP% /PA | 5.95% | — | ×0.860 | — | ×1.012 | 5.18% |
| Singles /BIP | 32.73% | ÷0.991 | ×0.940 | — | ×1.012 | 31.42% |
| Doubles /BIP | 9.09% | ÷1.054 | ×0.830 | — | ×1.012 | 7.24% |
| Triples /BIP | 5.45% | ÷1.150 | ×0.800 | — | ×1.012 | 3.84% |
| Home runs /BIP | 14.55% | ÷1.113 | ×0.900 | — | ×1.012 | 11.91% |
Factors used: league row CAR. Park (home-season share, regressed): HR 122, 1B 98, 2B 111, 3B 130, K 94, BB 99 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).
Result: wOBA .585 → .438; ISO .467 → .323; BABIP .553 → .482. 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 A+Winston-Salem Dash · 140 PAwOBA .284 → .221 (−62)K% 26.4% → 40.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.43% | ÷0.928 | ×1.420 | — | — | 40.43% |
| BB% (unintentional) /PA | 5.71% | ÷1.049 | ×0.630 | — | ×1.027 | 3.52% |
| HBP% /PA | 4.29% | — | ×0.860 | — | ×1.027 | 3.79% |
| Singles /BIP | 26.74% | ÷0.984 | ×0.940 | ×0.987 | ×1.027 | 25.92% |
| Doubles /BIP | 6.98% | ÷0.939 | ×0.830 | ×0.987 | ×1.027 | 6.25% |
| Triples /BIP | 1.16% | ÷1.150 | ×0.800 | ×0.987 | ×1.027 | 0.82% |
| Home runs /BIP | 0.00% | ÷1.014 | ×0.900 | — | ×1.027 | 0.00% |
Factors used: league row CAR. Park (home-season share, regressed): HR 103, 1B 97, 2B 88, 3B 130, K 86, BB 110 — 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 ×0.987.
Result: wOBA .284 → .221; ISO .065 → .047; BABIP .341 → .321. 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 AKannapolis Intimidators · 50 PAwOBA .334 → .264 (−70)K% 24.0% → 32.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.00% | ÷0.986 | ×1.340 | — | — | 32.61% |
| BB% (unintentional) /PA | 8.00% | ÷0.966 | ×0.660 | — | ×1.015 | 5.55% |
| HBP% /PA | 2.00% | — | ×0.770 | — | ×1.015 | 1.56% |
| Singles /BIP | 27.27% | ÷1.026 | ×0.920 | — | ×1.015 | 24.82% |
| Doubles /BIP | 9.09% | ÷0.986 | ×0.820 | — | ×1.015 | 7.67% |
| Triples /BIP | 3.03% | ÷1.100 | ×0.940 | — | ×1.015 | 2.63% |
| Home runs /BIP | 0.00% | ÷1.034 | ×0.820 | — | ×1.015 | 0.00% |
Factors used: league row SAL. Park (home-season share, regressed): HR 107, 1B 105, 2B 97, 3B 120, K 97, BB 93 — 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 .334 → .264; ISO .111 → .087; BABIP .394 → .351. 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 — .