Luis García Jr.
1B New York Yankees| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 24 | MLBWSH | 528 | .282/.319/.444 | 18 | 22 | 112 | 2.9 |
| 2025 | 25 | INTLGigantes del … | 66 | .367/.415/.533 | 1 | 2 | 166 | — |
| 2025 | 25 | MLBWSH | 526 | .252/.294/.412 | 16 | 14 | 93 | 0.6 |
| 2026 | 26 | MLBNYY | 543 | .277/.311/.521 | 30 | 5 | 125 | 1.7 |
| 2027PROJ | 27 | MLBNYY | 469 | .271/.307/.481 | 21 | 8 | 114 | 0.9 |
| 2028PROJ | 28 | MLBNYY | 460 | .269/.305/.476 | 20 | 6 | 112 | 0.7 |
| 2029PROJ | 29 | MLBNYY | 446 | .266/.302/.470 | 19 | 4 | 110 | 0.4 |
Tools · Recent Form · Splits · ContractCON 60 / 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) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK | GCL Nationals | — | 211 | 199 | 60 | 8 | 3 | 1 | 9 | 32 | 0 | 11 | 2 | 302 | 332 | 387 | 719 | 85 | 353 | 15 | 4 | 317 | 55 | — | — | — | — | — | — |
| 2018 | 18 | A+ | Potomac Nationals | — | 221 | 204 | 61 | 7 | 2 | 4 | 12 | 33 | 1 | 4 | 1 | 299 | 341 | 412 | 753 | 113 | 337 | 15 | 5 | 331 | 84 | — | — | — | — | — | — |
| 2018 | 18 | A | Hagerstown Suns | — | 323 | 296 | 88 | 14 | 4 | 3 | 19 | 49 | 0 | 8 | 5 | 297 | 340 | 402 | 742 | 105 | 343 | 15 | 6 | 324 | 84 | — | — | — | — | — | — |
| 2019 | 19 | AA | Harrisburg Senators | — | 553 | 525 | 135 | 22 | 4 | 4 | 17 | 86 | 1 | 11 | 5 | 257 | 282 | 337 | 619 | 80 | 299 | 16 | 3 | 272 | 49 | — | — | — | — | — | — |
| 2019 | 19 | INTL | Surprise Saguaros | — | 87 | 76 | 21 | 4 | 2 | 0 | 8 | 13 | 1 | 2 | 2 | 276 | 353 | 382 | 735 | 105 | 323 | 15 | 9 | 325 | 106 | — | — | — | — | — | — |
| 2020 | 20 | MLB | Washington Nationals | — | 139 | 134 | 37 | 6 | 0 | 2 | 5 | 29 | 0 | 1 | 1 | 276 | 302 | 366 | 668 | 90 | 340 | 21 | 4 | 299 | 88 | -2 | -0 | -5 | +0 | +3 | -0.3 |
| 2021 | 21 | MLB | Washington Nationals | — | 247 | 236 | 57 | 18 | 2 | 6 | 11 | 43 | 0 | 0 | 2 | 242 | 275 | 411 | 686 | 169 | 273 | 17 | 4 | 302 | 89 | -3 | -1 | -9 | +1 | +5 | -0.6 |
| 2021 | 21 | AAA | Rochester Red Wings | — | 159 | 142 | 43 | 3 | 0 | 13 | 15 | 26 | 1 | 1 | 1 | 303 | 373 | 599 | 972 | 296 | 288 | 16 | 9 | 418 | 124 | — | — | — | — | — | — |
| 2022 | 22 | MLB | Washington Nationals | — | 377 | 360 | 99 | 23 | 2 | 7 | 11 | 84 | 1 | 3 | 4 | 275 | 298 | 408 | 707 | 133 | 337 | 22 | 3 | 309 | 94 | -3 | -1 | -9 | +6 | +8 | 0.2 |
| 2022 | 22 | AAA | Rochester Red Wings | — | 205 | 185 | 57 | 7 | 4 | 8 | 18 | 36 | 0 | 3 | 0 | 308 | 369 | 519 | 888 | 211 | 343 | 18 | 9 | 386 | 122 | — | — | — | — | — | — |
| 2023 | 23 | MLB | Washington Nationals | — | 482 | 447 | 119 | 18 | 4 | 9 | 27 | 60 | 0 | 9 | 4 | 266 | 308 | 385 | 693 | 119 | 286 | 12 | 6 | 305 | 93 | -4 | +0 | -2 | +2 | +10 | 0.7 |
| 2023 | 23 | AAA | Rochester Red Wings | — | 108 | 97 | 26 | 8 | 0 | 1 | 8 | 13 | 0 | 2 | 0 | 268 | 324 | 381 | 705 | 113 | 291 | 12 | 7 | 309 | 73 | — | — | — | — | — | — |
| 2023 | 23 | INTL | Gigantes del Cibao | — | 48 | 44 | 11 | 1 | 1 | 2 | 3 | 3 | 0 | 5 | 1 | 250 | 298 | 455 | 752 | 205 | 225 | 6 | 6 | 323 | 105 | — | — | — | — | — | — |
| 2024 | 24 | MLB | Washington Nationals | — | 528 | 500 | 141 | 25 | 1 | 18 | 27 | 86 | 0 | 22 | 5 | 282 | 319 | 444 | 763 | 162 | 310 | 16 | 5 | 337 | 112 | +8 | +2 | +5 | +2 | +11 | 2.9 |
| 2024 | 24 | INTL | Gigantes del Cibao | — | 17 | 17 | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 235 | 235 | 235 | 471 | 308 | 24 | 0 | 213 | 30 | — | — | — | — | — | — | |
| 2025 | 25 | MLB | Washington Nationals | — | 526 | 488 | 123 | 28 | 1 | 16 | 27 | 84 | 2 | 14 | 5 | 252 | 294 | 412 | 706 | 160 | 270 | 16 | 5 | 308 | 93 | -4 | +1 | -4 | +2 | +11 | 0.6 |
| 2025 | 25 | INTL | Gigantes del Cibao | — | 66 | 60 | 22 | 7 | 0 | 1 | 4 | 5 | 1 | 2 | 1 | 367 | 415 | 533 | 949 | 167 | 382 | 8 | 6 | 413 | 166 | — | — | — | — | — | — |
| 2026 | 26 | MLB | New York Yankees | — | 543 | 516 | 143 | 26 | 5 | 30 | 25 | 97 | 0 | 5 | 2 | 277 | 311 | 521 | 832 | 244 | 289 | 18 | 5 | 360 | 125 | +16 | +0 | -2 | -10 | +12 | 1.7 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 2842 | 2681 | 719 | 144 | 15 | 88 | 133 | 483 | 3 | 54 | 23 | 268 | 304 | 432 | 735 | 163 | 296 | 17 | 5 | 322 | 104 | +13 | +2 | -26 | +5 | +62 | 5.7 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK MLE | GCL Nationals | — | 211 | 202 | 50 | 6 | 2 | 1 | 6 | 46 | 0 | 11 | 2 | 248 | 269 | 312 | 581 | 64 | 307 | 22 | 3 | 249 | 55 | — | — | — | — | — | — |
| 2018 | 18 | A+ MLE | Potomac Nationals | — | 221 | 208 | 58 | 6 | 2 | 4 | 8 | 47 | 1 | 4 | 1 | 279 | 309 | 385 | 693 | 106 | 328 | 21 | 4 | 292 | 84 | — | — | — | — | — | — |
| 2018 | 18 | A MLE | Hagerstown Suns | — | 323 | 302 | 84 | 13 | 4 | 2 | 13 | 66 | 0 | 8 | 5 | 278 | 308 | 368 | 675 | 89 | 335 | 20 | 4 | 292 | 84 | — | — | — | — | — | — |
| 2019 | 19 | AA MLE | Harrisburg Senators | — | 553 | 530 | 127 | 19 | 3 | 3 | 12 | 106 | 1 | 11 | 5 | 240 | 258 | 304 | 562 | 64 | 285 | 19 | 2 | 241 | 49 | — | — | — | — | — | — |
| 2020 | 20 | MLB MLE | Washington Nationals | — | 139 | 134 | 37 | 6 | 0 | 2 | 5 | 29 | 0 | 1 | 1 | 276 | 302 | 366 | 668 | 90 | 340 | 21 | 4 | 298 | 88 | -2 | -0 | -5 | +0 | +3 | -0.3 |
| 2021 | 21 | MLB MLE | Washington Nationals | — | 247 | 237 | 57 | 18 | 2 | 6 | 10 | 43 | 0 | 0 | 2 | 241 | 271 | 409 | 681 | 169 | 273 | 17 | 4 | 300 | 89 | -3 | -1 | -9 | +1 | +5 | -0.6 |
| 2021 | 21 | AAA MLE | Rochester Red Wings | — | 159 | 146 | 41 | 3 | 0 | 10 | 11 | 32 | 1 | 1 | 1 | 281 | 335 | 507 | 842 | 226 | 285 | 20 | 7 | 352 | 124 | — | — | — | — | — | — |
| 2022 | 22 | MLB MLE | Washington Nationals | — | 377 | 361 | 99 | 23 | 2 | 7 | 10 | 84 | 1 | 3 | 4 | 274 | 296 | 407 | 703 | 133 | 337 | 22 | 3 | 307 | 94 | -3 | -1 | -9 | +6 | +8 | 0.2 |
| 2022 | 22 | AAA MLE | Rochester Red Wings | — | 205 | 191 | 57 | 7 | 5 | 6 | 12 | 41 | 0 | 3 | 0 | 298 | 340 | 482 | 822 | 183 | 344 | 20 | 6 | 349 | 122 | — | — | — | — | — | — |
| 2023 | 23 | MLB MLE | Washington Nationals | — | 482 | 448 | 120 | 18 | 5 | 9 | 26 | 60 | 0 | 9 | 4 | 268 | 308 | 391 | 699 | 123 | 286 | 12 | 5 | 305 | 93 | -4 | +0 | -2 | +2 | +10 | 0.7 |
| 2023 | 23 | AAA MLE | Rochester Red Wings | — | 108 | 99 | 24 | 6 | 0 | 1 | 6 | 16 | 0 | 2 | 0 | 242 | 286 | 333 | 619 | 91 | 271 | 15 | 6 | 276 | 73 | — | — | — | — | — | — |
| 2024 | 24 | MLB MLE | Washington Nationals | — | 528 | 502 | 141 | 25 | 1 | 18 | 25 | 86 | 0 | 22 | 5 | 281 | 315 | 442 | 757 | 161 | 310 | 16 | 5 | 334 | 112 | +8 | +2 | +5 | +2 | +11 | 2.9 |
| 2025 | 25 | MLB MLE | Washington Nationals | — | 526 | 489 | 123 | 28 | 1 | 16 | 26 | 84 | 2 | 14 | 5 | 252 | 292 | 411 | 703 | 160 | 270 | 16 | 5 | 306 | 93 | -4 | +1 | -4 | +2 | +11 | 0.6 |
| 2026 | 26 | MLB MLE | New York Yankees | — | 543 | 516 | 141 | 26 | 5 | 28 | 25 | 97 | 0 | 5 | 2 | 273 | 307 | 506 | 813 | 233 | 289 | 18 | 5 | 353 | 125 | +16 | +0 | -2 | -10 | +12 | 1.7 |
| 2017 | 17 | ROK MLE | GCL Nationals | — | 211 | 202 | 50 | 6 | 2 | 1 | 6 | 46 | 0 | 11 | 2 | 248 | 269 | 312 | 581 | 64 | 314 | 22 | 3 | 249 | 55 | — | — | — | — | — | — |
| 2017 | 17 | ROK RAW | GCL Nationals | — | 211 | 199 | 60 | 8 | 3 | 1 | 9 | 32 | 0 | 11 | 2 | 302 | 332 | 387 | 719 | 85 | 353 | 15 | 4 | 317 | 55 | — | — | — | — | — | — |
| 2018 | 18 | A MLE | 2 teams | — | 544 | 510 | 142 | 19 | 5 | 6 | 21 | 113 | 1 | 12 | 6 | 278 | 308 | 371 | 679 | 92 | 343 | 21 | 4 | 292 | 84 | — | — | — | — | — | — |
| 2018 | 18 | A RAW | 2 teams | — | 544 | 500 | 149 | 21 | 6 | 7 | 31 | 82 | 1 | 12 | 6 | 298 | 340 | 406 | 746 | 108 | 341 | 15 | 6 | 327 | 84 | — | — | — | — | — | — |
| 2019 | 19 | AA MLE | 2 teams | — | 640 | 613 | 147 | 22 | 4 | 3 | 13 | 122 | 2 | 13 | 7 | 240 | 258 | 303 | 561 | 64 | 292 | 19 | 2 | 241 | 49 | — | — | — | — | — | — |
| 2019 | 19 | AA RAW | 2 teams | — | 640 | 601 | 156 | 26 | 6 | 4 | 25 | 99 | 2 | 13 | 7 | 260 | 291 | 343 | 634 | 83 | 302 | 15 | 4 | 280 | 49 | — | — | — | — | — | — |
| 2020 | 20 | MLB MLE | Washington Nationals | — | 139 | 134 | 37 | 6 | 0 | 2 | 5 | 29 | 0 | 1 | 1 | 276 | 302 | 366 | 668 | 90 | 340 | 21 | 4 | 298 | 88 | -2 | -0 | -5 | +0 | +3 | -0.3 |
| 2020 | 20 | MLB RAW | Washington Nationals | — | 139 | 134 | 37 | 6 | 0 | 2 | 5 | 29 | 0 | 1 | 1 | 276 | 302 | 366 | 668 | 90 | 340 | 21 | 4 | 299 | 88 | -2 | -0 | -5 | +0 | +3 | -0.3 |
| 2021 | 21 | MLB MLE | 2 teams | — | 406 | 383 | 97 | 20 | 2 | 16 | 21 | 75 | 1 | 1 | 3 | 253 | 294 | 441 | 735 | 188 | 276 | 18 | 5 | 321 | 103 | +1 | -1 | -9 | +1 | +9 | 0.2 |
| 2021 | 21 | MLB RAW | 2 teams | — | 406 | 378 | 100 | 21 | 2 | 19 | 26 | 69 | 1 | 1 | 3 | 265 | 314 | 481 | 795 | 217 | 278 | 17 | 6 | 348 | 103 | +1 | -1 | -9 | +1 | +9 | 0.2 |
| 2022 | 22 | MLB MLE | 2 teams | — | 582 | 552 | 156 | 30 | 7 | 13 | 22 | 125 | 1 | 6 | 4 | 283 | 311 | 433 | 744 | 150 | 340 | 21 | 4 | 322 | 104 | +3 | -0 | -9 | +6 | +13 | 1.3 |
| 2022 | 22 | MLB RAW | 2 teams | — | 582 | 545 | 156 | 30 | 6 | 15 | 29 | 120 | 1 | 6 | 4 | 286 | 323 | 446 | 769 | 160 | 339 | 21 | 5 | 336 | 104 | +3 | -0 | -9 | +6 | +13 | 1.3 |
| 2023 | 23 | MLB MLE | 3 teams | — | 638 | 591 | 156 | 26 | 5 | 11 | 35 | 82 | 0 | 16 | 5 | 264 | 305 | 381 | 686 | 117 | 285 | 13 | 5 | 300 | 89 | -8 | +1 | -2 | +2 | +14 | 0.7 |
| 2023 | 23 | MLB RAW | 3 teams | — | 638 | 588 | 156 | 27 | 5 | 12 | 38 | 76 | 0 | 16 | 5 | 265 | 310 | 389 | 699 | 124 | 282 | 12 | 6 | 307 | 89 | -8 | +1 | -2 | +2 | +14 | 0.7 |
| 2024 | 24 | MLB MLE | 2 teams | — | 545 | 518 | 145 | 25 | 1 | 19 | 26 | 89 | 0 | 23 | 5 | 280 | 314 | 442 | 756 | 162 | 307 | 16 | 5 | 334 | 112 | +8 | +3 | +5 | +2 | +12 | 2.9 |
| 2024 | 24 | MLB RAW | 2 teams | — | 545 | 517 | 145 | 25 | 1 | 18 | 27 | 90 | 0 | 23 | 5 | 280 | 316 | 437 | 753 | 157 | 310 | 17 | 5 | 333 | 112 | +8 | +3 | +5 | +2 | +12 | 2.9 |
| 2025 | 25 | MLB MLE | 2 teams | — | 592 | 550 | 138 | 31 | 1 | 18 | 29 | 95 | 3 | 16 | 6 | 251 | 292 | 409 | 701 | 158 | 268 | 16 | 5 | 306 | 93 | -5 | +1 | -4 | +2 | +13 | 0.7 |
| 2025 | 25 | MLB RAW | 2 teams | — | 592 | 548 | 145 | 35 | 1 | 17 | 31 | 89 | 3 | 16 | 6 | 265 | 308 | 425 | 733 | 161 | 283 | 15 | 5 | 319 | 93 | -5 | +1 | -4 | +2 | +13 | 0.7 |
| 2026 | 26 | MLB MLE | New York Yankees | — | 543 | 516 | 141 | 26 | 5 | 28 | 25 | 97 | 0 | 5 | 2 | 273 | 307 | 506 | 813 | 233 | 288 | 18 | 5 | 353 | 125 | +16 | +0 | -2 | -10 | +12 | 1.7 |
| 2026 | 26 | MLB RAW | New York Yankees | — | 543 | 516 | 143 | 26 | 5 | 30 | 25 | 97 | 0 | 5 | 2 | 277 | 311 | 521 | 832 | 244 | 289 | 18 | 5 | 360 | 125 | +16 | +0 | -2 | -10 | +12 | 1.7 |
| 2017 | 17 | ROK MLE | GCL Nationals | — | 211 | 203 | 50 | 6 | 2 | 1 | 6 | 46 | 0 | 11 | 2 | 246 | 269 | 310 | 580 | 64 | 307 | 22 | 3 | 249 | 55 | — | — | — | — | — | — |
| 2018 | 18 | A MLE | 2 teams | — | 544 | 517 | 142 | 19 | 5 | 6 | 21 | 113 | 1 | 12 | 6 | 275 | 308 | 366 | 674 | 91 | 332 | 21 | 4 | 292 | 84 | — | — | — | — | — | — |
| 2019 | 19 | AA MLE | 2 teams | — | 640 | 620 | 147 | 22 | 4 | 3 | 13 | 122 | 2 | 13 | 7 | 237 | 258 | 300 | 558 | 63 | 285 | 19 | 2 | 241 | 49 | — | — | — | — | — | — |
| 2020 | 20 | MLB MLE | Washington Nationals | — | 139 | 133 | 37 | 6 | 0 | 2 | 5 | 29 | 0 | 1 | 1 | 278 | 302 | 368 | 671 | 90 | 340 | 21 | 4 | 298 | 88 | — | — | — | — | — | — |
| 2021 | 21 | MLB MLE | 2 teams | — | 406 | 381 | 97 | 20 | 2 | 16 | 21 | 75 | 1 | 1 | 3 | 255 | 294 | 444 | 737 | 189 | 278 | 18 | 5 | 321 | 103 | — | — | — | — | — | — |
| 2022 | 22 | MLB MLE | 2 teams | — | 582 | 554 | 156 | 30 | 7 | 13 | 22 | 125 | 1 | 6 | 4 | 282 | 311 | 431 | 743 | 150 | 339 | 21 | 4 | 322 | 104 | — | — | — | — | — | — |
| 2023 | 23 | MLB MLE | 3 teams | — | 638 | 598 | 156 | 26 | 5 | 11 | 35 | 82 | 0 | 16 | 5 | 261 | 305 | 376 | 681 | 115 | 283 | 13 | 5 | 300 | 89 | — | — | — | — | — | — |
| 2024 | 24 | MLB MLE | 2 teams | — | 545 | 514 | 145 | 25 | 1 | 19 | 26 | 89 | 0 | 23 | 5 | 282 | 314 | 446 | 760 | 163 | 310 | 16 | 5 | 334 | 112 | — | — | — | — | — | — |
| 2025 | 25 | MLB MLE | 2 teams | — | 592 | 555 | 138 | 31 | 1 | 18 | 29 | 95 | 3 | 16 | 6 | 249 | 292 | 405 | 698 | 157 | 270 | 16 | 5 | 306 | 93 | — | — | — | — | — | — |
| 2026 | 26 | MLB MLE | New York Yankees | — | 543 | 513 | 141 | 26 | 5 | 28 | 25 | 97 | 0 | 5 | 2 | 275 | 307 | 509 | 816 | 234 | 289 | 18 | 5 | 353 | 125 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 24 | MLB MLE | 2 teams | — | 545 | 514 | 145 | 25 | 1 | 19 | 26 | 89 | 0 | 23 | 5 | 282 | 314 | 446 | 760 | 163 | 310 | 16 | 5 | 334 | 112 | — | — | — | — | — | — |
| 2025 | 25 | MLB MLE | 2 teams | — | 592 | 555 | 138 | 31 | 1 | 18 | 29 | 95 | 3 | 16 | 6 | 249 | 292 | 405 | 698 | 157 | 270 | 16 | 5 | 306 | 93 | — | — | — | — | — | — |
| 2026 | 26 | MLB MLE | New York Yankees | — | 543 | 513 | 141 | 26 | 5 | 28 | 25 | 97 | 0 | 5 | 2 | 275 | 307 | 509 | 816 | 234 | 289 | 18 | 5 | 353 | 125 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB MLE | NYY | 100% | 526 | 494 | 133 | 26 | 4 | 22 | 26 | 92 | 1 | 8 | 3 | 268 | 305 | 470 | 775 | 202 | 287 | 17 | 5 | 337 | 114 | +9 | +0 | -1 | -9 | +11 | 1.4 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB CTX | NYY | 100% | 469 | 442 | 119 | 23 | 3 | 21 | 23 | 82 | 1 | 8 | 2 | 271 | 307 | 481 | 789 | 211 | 288 | 17 | 5 | 342 | 114 | +8 | +1 | -1 | -8 | +10 | 0.9 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 28 | MLB MLE | NYY | 100% | 460 | 434 | 115 | 23 | 3 | 19 | 22 | 82 | 1 | 6 | 2 | 266 | 303 | 466 | 769 | 199 | 286 | 18 | 5 | 334 | 112 | +7 | +0 | -2 | -8 | +10 | 0.7 |
| 2029 | 29 | MLB MLE | NYY | 100% | 446 | 422 | 111 | 22 | 3 | 18 | 21 | 80 | 0 | 4 | 2 | 264 | 300 | 459 | 760 | 196 | 285 | 18 | 5 | 331 | 110 | +5 | +0 | -3 | -8 | +10 | 0.4 |
| 2030 | 30 | MLB MLE | NYY | 100% | 432 | 409 | 107 | 21 | 3 | 17 | 20 | 79 | 0 | 3 | 1 | 261 | 296 | 451 | 748 | 191 | 283 | 18 | 5 | 326 | 107 | +3 | +0 | -3 | -8 | +9 | 0.2 |
| 2031 | 31 | MLB MLE | NYY | 100% | 413 | 391 | 100 | 19 | 3 | 16 | 19 | 77 | 0 | 2 | 1 | 256 | 291 | 441 | 732 | 185 | 280 | 19 | 5 | 319 | 102 | +1 | +0 | -4 | -7 | +9 | -0.1 |
| 2032 | 32 | MLB MLE | NYY | 100% | 390 | 369 | 92 | 18 | 2 | 14 | 18 | 75 | 0 | 2 | 1 | 250 | 284 | 427 | 711 | 177 | 275 | 19 | 5 | 310 | 96 | -2 | +0 | -5 | -7 | +8 | -0.5 |
| 2033 | 33 | MLB MLE | NYY | 100% | 353 | 335 | 81 | 15 | 2 | 12 | 15 | 70 | 0 | 1 | 0 | 242 | 276 | 410 | 686 | 168 | 269 | 20 | 4 | 300 | 89 | -5 | +0 | -5 | -6 | +8 | -0.8 |
| 2034 | 34 | MLB MLE | NYY | 100% | 295 | 281 | 66 | 12 | 2 | 10 | 12 | 60 | 0 | 1 | 0 | 233 | 265 | 389 | 654 | 157 | 261 | 20 | 4 | 287 | 80 | -7 | +0 | -6 | -5 | +6 | -1.2 |
| 2028 | 28 | MLB CTX | NYY | 100% | 460 | 434 | 115 | 22 | 3 | 20 | 22 | 82 | 1 | 6 | 2 | 269 | 305 | 476 | 782 | 208 | 287 | 18 | 5 | 339 | 112 | +7 | +0 | -2 | -8 | +10 | 0.7 |
| 2029 | 29 | MLB CTX | NYY | 100% | 446 | 422 | 111 | 21 | 3 | 19 | 21 | 80 | 0 | 4 | 2 | 266 | 302 | 470 | 772 | 204 | 285 | 18 | 5 | 336 | 110 | +5 | +0 | -3 | -8 | +10 | 0.4 |
| 2030 | 30 | MLB CTX | NYY | 100% | 432 | 409 | 107 | 20 | 3 | 18 | 20 | 79 | 0 | 3 | 1 | 263 | 298 | 462 | 760 | 199 | 283 | 18 | 5 | 331 | 107 | +3 | +0 | -3 | -8 | +9 | 0.2 |
| 2031 | 31 | MLB CTX | NYY | 100% | 413 | 391 | 101 | 19 | 3 | 17 | 19 | 77 | 0 | 2 | 1 | 258 | 293 | 451 | 744 | 193 | 280 | 19 | 5 | 324 | 102 | +1 | +0 | -4 | -7 | +9 | -0.1 |
| 2032 | 32 | MLB CTX | NYY | 100% | 390 | 365 | 92 | 17 | 2 | 15 | 18 | 75 | 4 | 2 | 1 | 254 | 295 | 441 | 736 | 186 | 279 | 19 | 5 | 322 | 96 | -2 | +0 | -5 | -7 | +8 | -0.5 |
| 2033 | 33 | MLB CTX | NYY | 100% | 353 | 332 | 82 | 15 | 2 | 13 | 15 | 70 | 3 | 1 | 0 | 247 | 287 | 423 | 710 | 176 | 272 | 20 | 4 | 311 | 89 | -5 | +0 | -5 | -6 | +8 | -0.8 |
| 2034 | 34 | MLB CTX | NYY | 100% | 295 | 278 | 65 | 11 | 2 | 10 | 12 | 60 | 3 | 1 | 0 | 237 | 276 | 401 | 677 | 165 | 264 | 20 | 4 | 297 | 80 | -7 | +0 | -6 | -5 | +6 | -1.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 5631 | 5312 | 1392 | 269 | 33 | 200 | 260 | 1006 | 14 | 73 | 30 | 262 | 298 | 438 | 736 | 176 | 288 | 18 | 5 | 323 | 96 | +16 | +3 | -53 | -45 | +122 | 4.4 | |
| / 162G | — | A+C | — | 650 | 613 | 161 | 31 | 4 | 23 | 30 | 116 | 2 | 8 | 3 | 263 | 299 | 439 | 738 | 176 | 289 | 18 | 5 | 323 | 96 | +2 | +0 | -6 | -5 | +14 | 0.5 | |
| Career | — | MLE | — | 8098 | 7652 | 1999 | 364 | 53 | 243 | 353 | 1478 | 10 | 131 | 50 | 261 | 295 | 418 | 713 | 157 | 293 | 18 | 4 | 310 | 96 | +24 | +3 | -54 | -53 | +132 | 5.3 | |
| / 162G | — | MLE | — | 650 | 614 | 160 | 29 | 4 | 20 | 28 | 119 | 1 | 11 | 4 | 261 | 294 | 419 | 713 | 158 | 292 | 18 | 4 | 310 | 96 | +3 | +0 | -6 | -6 | +14 | 0.6 | |
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.
2023 AAARochester Red Wings · 108 PAwOBA .309 → .276 (−33)K% 12.0% → 14.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.04% | ÷0.980 | ×1.200 | — | — | 14.74% |
| BB% (unintentional) /PA | 7.41% | ÷0.956 | ×0.690 | — | ×1.050 | 5.61% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.050 | 0.00% |
| Singles /BIP | 20.24% | ÷0.996 | ×0.930 | ×1.024 | ×1.050 | 20.34% |
| Doubles /BIP | 9.52% | ÷1.137 | ×0.830 | ×1.024 | ×1.050 | 7.48% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×1.024 | ×1.050 | 0.00% |
| Home runs /BIP | 1.19% | ÷1.058 | ×0.700 | — | ×1.050 | 0.83% |
Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 99, 2B 127, 3B 130, K 96, BB 91 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.
Result: wOBA .309 → .276; ISO .113 → .088; BABIP .291 → .271. 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 AAARochester Red Wings · 205 PAwOBA .376 → .349 (−27)K% 17.6% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.56% | ÷1.049 | ×1.200 | — | — | 20.10% |
| BB% (unintentional) /PA | 7.80% | ÷0.973 | ×0.690 | — | ×1.050 | 5.81% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.050 | 0.00% |
| Singles /BIP | 25.50% | ÷1.011 | ×0.930 | ×1.050 | ×1.050 | 25.87% |
| Doubles /BIP | 4.70% | ÷0.930 | ×0.830 | ×1.050 | ×1.050 | 4.62% |
| Triples /BIP | 2.68% | ÷0.913 | ×0.970 | ×1.050 | ×1.050 | 3.14% |
| Home runs /BIP | 5.37% | ÷1.084 | ×0.700 | — | ×1.050 | 3.64% |
Factors used: league row International League. Park (home-season share, regressed): HR 117, 1B 102, 2B 86, 3B 83, K 110, BB 95 — 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 ×1.050.
Result: wOBA .376 → .349; ISO .211 → .179; BABIP .343 → .344. 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 AAARochester Red Wings · 159 PAwOBA .409 → .352 (−57)K% 16.4% → 20.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.35% | ÷0.979 | ×1.200 | — | — | 20.04% |
| BB% (unintentional) /PA | 9.43% | ÷1.014 | ×0.690 | — | ×1.050 | 6.74% |
| HBP% /PA | 0.63% | — | ×0.940 | — | ×1.050 | 0.62% |
| Singles /BIP | 23.28% | ÷0.994 | ×0.930 | ×1.050 | ×1.050 | 24.00% |
| Doubles /BIP | 2.59% | ÷1.005 | ×0.830 | ×1.050 | ×1.050 | 2.35% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×1.050 | ×1.050 | 0.00% |
| Home runs /BIP | 11.21% | ÷0.968 | ×0.700 | — | ×1.050 | 8.51% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 99, 2B 101, 3B 130, K 96, BB 103 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .409 → .352; ISO .296 → .227; BABIP .288 → .285. 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 AAHarrisburg Senators · 553 PAwOBA .266 → .241 (−25)K% 15.6% → 19.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.55% | ÷0.996 | ×1.220 | — | — | 19.05% |
| BB% (unintentional) /PA | 3.07% | ÷1.054 | ×0.700 | — | ×1.050 | 2.14% |
| HBP% /PA | 0.18% | — | ×0.850 | — | ×1.050 | 0.16% |
| Singles /BIP | 23.92% | ÷0.991 | ×0.970 | ×0.950 | ×1.050 | 23.35% |
| Doubles /BIP | 5.01% | ÷0.985 | ×0.860 | ×0.950 | ×1.050 | 4.36% |
| Triples /BIP | 0.91% | ÷1.150 | ×0.950 | ×0.950 | ×1.050 | 0.75% |
| Home runs /BIP | 0.91% | ÷1.111 | ×0.780 | — | ×1.050 | 0.67% |
Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 98, 2B 97, 3B 130, K 99, BB 111 — applied at half strength. Age: age 19 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (5.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .266 → .241; ISO .080 → .065; BABIP .299 → .285. 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 AHagerstown Suns · 323 PAwOBA .319 → .292 (−27)K% 15.2% → 20.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.17% | ÷0.992 | ×1.340 | — | — | 20.48% |
| BB% (unintentional) /PA | 5.88% | ÷0.983 | ×0.660 | — | ×1.050 | 4.15% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×1.050 | 0.00% |
| Singles /BIP | 27.13% | ÷1.013 | ×0.920 | ×1.039 | ×1.050 | 26.87% |
| Doubles /BIP | 5.67% | ÷0.941 | ×0.820 | ×1.039 | ×1.050 | 5.39% |
| Triples /BIP | 1.62% | ÷1.150 | ×0.940 | ×1.039 | ×1.050 | 1.44% |
| Home runs /BIP | 1.21% | ÷1.108 | ×0.820 | — | ×1.050 | 0.94% |
Factors used: league row SAL. Park (home-season share, regressed): HR 122, 1B 103, 2B 88, 3B 130, K 98, BB 97 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.
Result: wOBA .319 → .292; ISO .105 → .091; BABIP .343 → .335. 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+Potomac Nationals · 221 PAwOBA .325 → .292 (−33)K% 14.9% → 21.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.93% | ÷0.998 | ×1.420 | — | — | 21.24% |
| BB% (unintentional) /PA | 5.43% | ÷1.013 | ×0.630 | — | ×1.050 | 3.54% |
| HBP% /PA | 0.45% | — | ×0.860 | — | ×1.050 | 0.41% |
| Singles /BIP | 28.07% | ÷0.992 | ×0.940 | ×0.999 | ×1.050 | 27.89% |
| Doubles /BIP | 4.09% | ÷1.020 | ×0.830 | ×0.999 | ×1.050 | 3.49% |
| Triples /BIP | 1.17% | ÷0.900 | ×0.800 | ×0.999 | ×1.050 | 1.09% |
| Home runs /BIP | 2.34% | ÷1.017 | ×0.900 | — | ×1.050 | 2.17% |
Factors used: league row CAR. Park (home-season share, regressed): HR 103, 1B 98, 2B 104, 3B 80, K 100, BB 103 — applied at half strength. Age: age 18 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.
Result: wOBA .325 → .292; ISO .113 → .099; BABIP .337 → .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 ROKGCL Nationals · 211 PAwOBA .310 → .249 (−61)K% 15.2% → 21.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.17% | ÷1.000 | ×1.440 | — | — | 21.84% |
| BB% (unintentional) /PA | 4.27% | ÷1.000 | ×0.620 | — | ×1.038 | 2.74% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×1.038 | 0.00% |
| Singles /BIP | 28.74% | ÷1.000 | ×0.820 | ×1.046 | ×1.038 | 25.59% |
| Doubles /BIP | 4.79% | ÷1.000 | ×0.720 | ×1.046 | ×1.038 | 3.74% |
| Triples /BIP | 1.80% | ÷1.000 | ×0.720 | ×1.046 | ×1.038 | 1.40% |
| Home runs /BIP | 0.60% | ÷1.000 | ×0.780 | — | ×1.038 | 0.48% |
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 17 vs a level average of 19.5 → +3.8% on BB/HBP/hit rates (2.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.
Result: wOBA .310 → .249; ISO .085 → .064; BABIP .353 → .307. 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 — .