Jorbit Vivas
3B Washington Nationals| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 23 | AAA/A+/A/INTL3 orgs | 487 | .216/.343/.342 | 9 | 22 | 66 | — | .199/.297/.302 |
| 2025 | 24 | AAA/INTL2 orgs | 475 | .270/.384/.362 | 4 | 13 | 85 | — | .247/.335/.322 |
| 2025 | 24 | MLBNYY | 66 | .161/.258/.250 | 1 | 0 | 47 | -0.2 | |
| 2026 | 25 | MLBWSH | 364 | .238/.333/.322 | 3 | 2 | 88 | 0.6 | |
| 2027PROJ | 26 | MLBWSH | 388 | .222/.315/.323 | 6 | 5 | 84 | 0.4 | |
| 2028PROJ82% MLB | 27 | MLBWSH | 316 | .221/.314/.320 | 4 | 4 | 83 | 0.3 | |
| 2029PROJ82% MLB | 28 | MLBWSH | 309 | .219/.312/.315 | 4 | 3 | 81 | 0.1 |
Tools · Recent Form · Contract
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) | |||||||||||||||||||||||||||||||
| 2018 | 17 | ROK | DSL Dodgers Robinson | — | 217 | 176 | 39 | 11 | 1 | 0 | 26 | 35 | 11 | 16 | 4 | 222 | 357 | 295 | 652 | 74 | 269 | 16 | 12 | 306 | 32 | — | — | — | — | — | — |
| 2019 | 18 | ROK | AZL Dodgers Lasorda | — | 137 | 115 | 41 | 11 | 2 | 1 | 13 | 15 | 6 | 5 | 4 | 357 | 448 | 513 | 961 | 157 | 392 | 11 | 9 | 419 | 99 | — | — | — | — | — | — |
| 2020 | 19 | INTL | Aguilas del Zulia | — | 29 | 28 | 8 | 1 | 0 | 0 | 1 | 3 | 0 | 1 | 0 | 286 | 310 | 321 | 632 | 36 | 320 | 10 | 3 | 287 | 80 | — | — | — | — | — | — |
| 2021 | 20 | A+ | Great Lakes Loons | — | 102 | 85 | 27 | 6 | 0 | 1 | 13 | 13 | 3 | 3 | 1 | 318 | 426 | 424 | 849 | 106 | 361 | 13 | 13 | 384 | 118 | — | — | — | — | — | — |
| 2021 | 20 | A | Rancho Cucamonga Quakes | — | 375 | 328 | 102 | 20 | 4 | 13 | 27 | 42 | 17 | 5 | 3 | 311 | 392 | 515 | 908 | 204 | 322 | 11 | 7 | 398 | 118 | — | — | — | — | — | — |
| 2021 | 20 | INTL | Aguilas del Zulia | — | 22 | 19 | 1 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 53 | 182 | 53 | 234 | 62 | 14 | 14 | 136 | -22 | — | — | — | — | — | — | |
| 2022 | 21 | A+ | Great Lakes Loons | — | 570 | 479 | 129 | 19 | 7 | 10 | 63 | 58 | 21 | 2 | 1 | 269 | 378 | 401 | 778 | 132 | 285 | 10 | 11 | 351 | 88 | — | — | — | — | — | — |
| 2022 | 21 | INTL | Glendale Desert Dogs | — | 34 | 27 | 9 | 2 | 0 | 0 | 6 | 6 | 1 | 0 | 0 | 333 | 471 | 407 | 878 | 74 | 429 | 18 | 18 | 407 | 161 | — | — | — | — | — | — |
| 2023 | 22 | AAA | Oklahoma City Dodgers | — | 121 | 102 | 23 | 2 | 1 | 1 | 15 | 19 | 3 | 4 | 1 | 225 | 342 | 294 | 636 | 69 | 265 | 16 | 12 | 299 | 65 | — | — | — | — | — | — |
| 2023 | 22 | AA | Tulsa Drillers | — | 491 | 404 | 113 | 23 | 2 | 12 | 54 | 52 | 24 | 21 | 4 | 280 | 394 | 436 | 829 | 156 | 292 | 11 | 11 | 370 | 110 | — | — | — | — | — | — |
| 2024 | 23 | AAA | Scranton/Wilkes-Barre RailRiders | — | 422 | 347 | 78 | 18 | 2 | 9 | 58 | 70 | 9 | 20 | 5 | 225 | 347 | 366 | 713 | 141 | 254 | 17 | 14 | 323 | 72 | — | — | — | — | — | — |
| 2024 | 23 | A+ | Hudson Valley Renegades | — | 18 | 16 | 5 | 1 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 312 | 389 | 375 | 764 | 62 | 385 | 17 | 11 | 350 | 58 | — | — | — | — | — | — |
| 2024 | 23 | A | Tampa Tarpons | — | 15 | 11 | 1 | 0 | 0 | 0 | 3 | 3 | 1 | 1 | 0 | 91 | 333 | 91 | 424 | 125 | 20 | 20 | 249 | 7 | — | — | — | — | — | — | |
| 2024 | 23 | INTL | Aguilas del Zulia | — | 32 | 24 | 2 | 0 | 0 | 0 | 6 | 1 | 0 | 1 | 0 | 83 | 267 | 83 | 350 | 80 | 3 | 19 | 187 | 13 | — | — | — | — | — | — | |
| 2025 | 24 | MLB | New York Yankees | — | 66 | 56 | 9 | 2 | 0 | 1 | 5 | 13 | 3 | 0 | 0 | 161 | 258 | 250 | 508 | 89 | 190 | 20 | 8 | 239 | 47 | -4 | +0 | -1 | +2 | +1 | -0.2 |
| 2025 | 24 | AAA | Scranton/Wilkes-Barre RailRiders | — | 459 | 374 | 101 | 21 | 1 | 4 | 64 | 45 | 11 | 12 | 9 | 270 | 388 | 364 | 751 | 94 | 295 | 10 | 14 | 343 | 86 | — | — | — | — | — | — |
| 2025 | 24 | INTL | Tigres de Aragua | — | 16 | 15 | 4 | 1 | 0 | 0 | 0 | 3 | 0 | 1 | 0 | 267 | 267 | 333 | 600 | 67 | 333 | 19 | 0 | 250 | 55 | — | — | — | — | — | — |
| 2026 | 25 | MLB | Washington Nationals | — | 364 | 311 | 74 | 15 | 1 | 3 | 41 | 53 | 4 | 2 | 1 | 238 | 333 | 322 | 655 | 84 | 274 | 15 | 11 | 298 | 88 | -5 | +0 | +1 | +1 | +8 | 0.6 |
| 2026 | 25 | INTL | Tigres de Aragua | — | 17 | 15 | 4 | 1 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 267 | 353 | 333 | 686 | 67 | 308 | 12 | 12 | 317 | 101 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 430 | 367 | 83 | 17 | 1 | 4 | 46 | 66 | 7 | 2 | 1 | 226 | 322 | 311 | 632 | 84 | 262 | 15 | 11 | 289 | 82 | -9 | +0 | +0 | +3 | +9 | 0.4 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 17 | ROK MLE | DSL Dodgers Robinson | — | 217 | 184 | 28 | 7 | 1 | 0 | 18 | 43 | 11 | 16 | 4 | 152 | 268 | 201 | 469 | 49 | 182 | 20 | 8 | 215 | 32 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | AZL Dodgers Lasorda | — | 137 | 120 | 32 | 8 | 1 | 1 | 8 | 22 | 6 | 5 | 4 | 267 | 343 | 375 | 718 | 108 | 300 | 16 | 6 | 314 | 99 | — | — | — | — | — | — |
| 2021 | 20 | A+ MLE | Great Lakes Loons | — | 102 | 89 | 27 | 6 | 0 | 1 | 9 | 17 | 3 | 3 | 1 | 303 | 386 | 404 | 791 | 101 | 351 | 17 | 9 | 343 | 118 | — | — | — | — | — | — |
| 2021 | 20 | A MLE | Rancho Cucamonga Quakes | — | 375 | 336 | 95 | 15 | 4 | 11 | 19 | 56 | 17 | 5 | 3 | 283 | 352 | 449 | 802 | 167 | 300 | 15 | 5 | 342 | 118 | — | — | — | — | — | — |
| 2022 | 21 | A+ MLE | Great Lakes Loons | — | 570 | 497 | 118 | 17 | 5 | 8 | 46 | 71 | 21 | 2 | 1 | 237 | 328 | 340 | 668 | 103 | 254 | 12 | 8 | 298 | 88 | — | — | — | — | — | — |
| 2023 | 22 | AAA MLE | Oklahoma City Dodgers | — | 121 | 106 | 23 | 2 | 1 | 1 | 11 | 23 | 3 | 4 | 1 | 217 | 308 | 283 | 591 | 66 | 258 | 19 | 9 | 265 | 65 | — | — | — | — | — | — |
| 2023 | 22 | AA MLE | Tulsa Drillers | — | 491 | 421 | 110 | 22 | 2 | 10 | 40 | 62 | 24 | 21 | 4 | 261 | 359 | 394 | 753 | 133 | 276 | 13 | 8 | 331 | 110 | — | — | — | — | — | — |
| 2024 | 23 | AAA MLE | Scranton/Wilkes-Barre RailRiders | — | 422 | 367 | 74 | 15 | 2 | 7 | 42 | 85 | 9 | 20 | 5 | 202 | 299 | 311 | 610 | 109 | 237 | 20 | 10 | 274 | 72 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | Hudson Valley Renegades | — | 18 | 17 | 4 | 1 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 235 | 278 | 294 | 572 | 59 | 317 | 22 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2024 | 23 | A MLE | Tampa Tarpons | — | 15 | 12 | 1 | 0 | 0 | 0 | 2 | 4 | 1 | 1 | 0 | 83 | 267 | 83 | 350 | 110 | 27 | 13 | 178 | 7 | — | — | — | — | — | — | |
| 2025 | 24 | MLB MLE | New York Yankees | — | 66 | 58 | 9 | 2 | 0 | 1 | 5 | 13 | 3 | 0 | 0 | 155 | 258 | 241 | 499 | 86 | 190 | 20 | 8 | 237 | 47 | -4 | +0 | -1 | +2 | +1 | -0.2 |
| 2025 | 24 | AAA MLE | Scranton/Wilkes-Barre RailRiders | — | 459 | 401 | 99 | 19 | 1 | 3 | 42 | 55 | 11 | 12 | 9 | 247 | 335 | 322 | 656 | 75 | 271 | 12 | 9 | 296 | 86 | — | — | — | — | — | — |
| 2026 | 25 | MLB MLE | Washington Nationals | — | 364 | 312 | 74 | 15 | 1 | 3 | 41 | 53 | 4 | 2 | 1 | 237 | 333 | 321 | 654 | 83 | 274 | 15 | 11 | 298 | 88 | -5 | +0 | +1 | +1 | +8 | 0.6 |
| 2018 | 17 | ROK MLE | DSL Dodgers Robinson | — | 217 | 184 | 28 | 7 | 1 | 0 | 18 | 43 | 11 | 16 | 4 | 152 | 268 | 201 | 469 | 49 | 193 | 20 | 8 | 215 | 32 | — | — | — | — | — | — |
| 2018 | 17 | ROK RAW | DSL Dodgers Robinson | — | 217 | 176 | 39 | 11 | 1 | 0 | 26 | 35 | 11 | 16 | 4 | 222 | 357 | 295 | 652 | 74 | 269 | 16 | 12 | 306 | 32 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | AZL Dodgers Lasorda | — | 137 | 120 | 32 | 8 | 1 | 1 | 8 | 22 | 6 | 5 | 4 | 267 | 343 | 375 | 718 | 108 | 310 | 16 | 6 | 314 | 99 | — | — | — | — | — | — |
| 2019 | 18 | ROK RAW | AZL Dodgers Lasorda | — | 137 | 115 | 41 | 11 | 2 | 1 | 13 | 15 | 6 | 5 | 4 | 357 | 448 | 513 | 961 | 157 | 392 | 11 | 9 | 419 | 99 | — | — | — | — | — | — |
| 2020 | 19 | INTL MLE | Aguilas del Zulia | — | 29 | 28 | 8 | 1 | 0 | 0 | 1 | 3 | 0 | 1 | 0 | 286 | 310 | 321 | 632 | 36 | 320 | 10 | 3 | — | — | — | — | — | — | — | — |
| 2020 | 19 | INTL RAW | Aguilas del Zulia | — | 29 | 28 | 8 | 1 | 0 | 0 | 1 | 3 | 0 | 1 | 0 | 286 | 310 | 321 | 632 | 36 | 320 | 10 | 3 | 287 | 80 | — | — | — | — | — | — |
| 2021 | 20 | A MLE | 3 teams | — | 499 | 446 | 127 | 21 | 4 | 13 | 29 | 77 | 20 | 9 | 5 | 285 | 356 | 437 | 793 | 152 | 317 | 15 | 6 | 342 | 118 | — | — | — | — | — | — |
| 2021 | 20 | A RAW | 3 teams | — | 499 | 432 | 130 | 26 | 4 | 14 | 43 | 58 | 20 | 9 | 5 | 301 | 390 | 477 | 867 | 176 | 319 | 12 | 9 | 384 | 118 | — | — | — | — | — | — |
| 2022 | 21 | A+ MLE | 2 teams | — | 604 | 528 | 126 | 18 | 6 | 9 | 48 | 76 | 22 | 2 | 1 | 239 | 328 | 347 | 674 | 108 | 261 | 13 | 8 | 298 | 88 | — | — | — | — | — | — |
| 2022 | 21 | A+ RAW | 2 teams | — | 604 | 506 | 138 | 21 | 7 | 10 | 69 | 64 | 22 | 2 | 1 | 273 | 383 | 401 | 784 | 128 | 292 | 11 | 11 | 354 | 88 | — | — | — | — | — | — |
| 2023 | 22 | AA MLE | 2 teams | — | 612 | 527 | 132 | 24 | 3 | 10 | 51 | 85 | 27 | 25 | 5 | 250 | 347 | 364 | 711 | 114 | 278 | 14 | 8 | 318 | 101 | — | — | — | — | — | — |
| 2023 | 22 | AA RAW | 2 teams | — | 612 | 506 | 136 | 25 | 3 | 13 | 69 | 71 | 27 | 25 | 5 | 269 | 383 | 407 | 791 | 138 | 287 | 12 | 11 | 356 | 101 | — | — | — | — | — | — |
| 2024 | 23 | AAA MLE | 4 teams | — | 487 | 423 | 84 | 17 | 2 | 7 | 48 | 100 | 10 | 22 | 5 | 199 | 295 | 298 | 593 | 99 | 239 | 21 | 10 | 270 | 69 | — | — | — | — | — | — |
| 2024 | 23 | AAA RAW | 4 teams | — | 487 | 398 | 86 | 19 | 2 | 9 | 69 | 77 | 10 | 22 | 5 | 216 | 343 | 342 | 685 | 126 | 242 | 16 | 14 | 313 | 69 | — | — | — | — | — | — |
| 2025 | 24 | AAA MLE | 3 teams | — | 541 | 472 | 110 | 21 | 1 | 4 | 49 | 70 | 14 | 13 | 9 | 233 | 323 | 307 | 631 | 74 | 264 | 13 | 9 | 289 | 81 | — | — | — | — | — | — |
| 2025 | 24 | AAA RAW | 3 teams | — | 541 | 445 | 114 | 24 | 1 | 5 | 69 | 61 | 14 | 13 | 9 | 256 | 368 | 348 | 717 | 92 | 285 | 11 | 13 | 328 | 81 | — | — | — | — | — | — |
| 2026 | 25 | MLB MLE | 2 teams | — | 381 | 327 | 77 | 15 | 1 | 3 | 43 | 55 | 4 | 3 | 1 | 235 | 332 | 315 | 647 | 80 | 271 | 14 | 11 | 298 | 88 | -6 | +0 | +1 | +1 | +8 | 0.6 |
| 2026 | 25 | MLB RAW | 2 teams | — | 381 | 326 | 78 | 16 | 1 | 3 | 43 | 55 | 4 | 3 | 1 | 239 | 334 | 322 | 656 | 83 | 276 | 14 | 11 | 299 | 88 | -6 | +0 | +1 | +1 | +8 | 0.6 |
| 2018 | 17 | ROK MLE | DSL Dodgers Robinson | — | 217 | 186 | 28 | 7 | 1 | 0 | 18 | 43 | 11 | 16 | 4 | 151 | 268 | 199 | 467 | 48 | 182 | 20 | 8 | 215 | 32 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | AZL Dodgers Lasorda | — | 137 | 122 | 32 | 8 | 1 | 1 | 8 | 22 | 6 | 5 | 4 | 262 | 343 | 369 | 712 | 107 | 300 | 16 | 6 | 314 | 99 | — | — | — | — | — | — |
| 2021 | 20 | A MLE | 3 teams | — | 499 | 447 | 127 | 21 | 4 | 13 | 29 | 77 | 20 | 9 | 5 | 284 | 356 | 436 | 792 | 152 | 311 | 15 | 6 | 342 | 118 | — | — | — | — | — | — |
| 2022 | 21 | A+ MLE | 2 teams | — | 604 | 529 | 126 | 18 | 6 | 9 | 48 | 76 | 22 | 2 | 1 | 238 | 328 | 346 | 674 | 108 | 254 | 13 | 8 | 298 | 88 | — | — | — | — | — | — |
| 2023 | 22 | AA MLE | 2 teams | — | 612 | 529 | 132 | 24 | 3 | 10 | 51 | 85 | 27 | 25 | 5 | 250 | 347 | 363 | 710 | 113 | 272 | 14 | 8 | 318 | 101 | — | — | — | — | — | — |
| 2024 | 23 | AAA MLE | 4 teams | — | 487 | 426 | 84 | 17 | 2 | 7 | 48 | 100 | 10 | 22 | 5 | 197 | 295 | 296 | 591 | 99 | 236 | 21 | 10 | 270 | 69 | — | — | — | — | — | — |
| 2025 | 24 | AAA MLE | 3 teams | — | 541 | 473 | 110 | 21 | 1 | 4 | 49 | 70 | 14 | 13 | 9 | 233 | 323 | 307 | 630 | 74 | 261 | 13 | 9 | 289 | 81 | — | — | — | — | — | — |
| 2026 | 25 | MLB MLE | 2 teams | — | 381 | 331 | 77 | 15 | 1 | 3 | 43 | 55 | 4 | 3 | 1 | 233 | 332 | 311 | 643 | 79 | 274 | 14 | 11 | 298 | 88 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 23 | AAA MLE | 4 teams | — | 487 | 426 | 84 | 17 | 2 | 7 | 48 | 100 | 10 | 22 | 5 | 197 | 295 | 296 | 591 | 99 | 236 | 21 | 10 | 270 | 69 | — | — | — | — | — | — |
| 2025 | 24 | AAA MLE | 3 teams | — | 541 | 473 | 110 | 21 | 1 | 4 | 49 | 70 | 14 | 13 | 9 | 233 | 323 | 307 | 630 | 74 | 261 | 13 | 9 | 289 | 81 | — | — | — | — | — | — |
| 2026 | 25 | MLB MLE | 2 teams | — | 381 | 331 | 77 | 15 | 1 | 3 | 43 | 55 | 4 | 3 | 1 | 233 | 332 | 311 | 643 | 79 | 274 | 14 | 11 | 298 | 88 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 26 | MLB MLE | WSH | 100% | 474 | 415 | 92 | 18 | 2 | 7 | 49 | 76 | 7 | 6 | 2 | 222 | 315 | 323 | 638 | 101 | 254 | 16 | 10 | 293 | 84 | -9 | +0 | +1 | +2 | +10 | 0.6 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 26 | MLB CTX | WSH | 100% | 388 | 339 | 75 | 15 | 1 | 6 | 40 | 62 | 6 | 5 | 1 | 222 | 315 | 323 | 638 | 101 | 254 | 16 | 10 | 293 | 84 | -7 | +1 | +0 | +1 | +8 | 0.4 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 27 | MLB MLE | WSH | 82% | 385 | 336 | 74 | 15 | 1 | 5 | 40 | 62 | 6 | 4 | 1 | 221 | 314 | 321 | 635 | 100 | 254 | 16 | 10 | 291 | 83 | -8 | +0 | +0 | +1 | +8 | 0.3 |
| 2029 | 28 | MLB MLE | WSH | 82% | 377 | 329 | 72 | 14 | 1 | 5 | 39 | 62 | 6 | 3 | 1 | 219 | 312 | 316 | 628 | 97 | 253 | 16 | 10 | 289 | 81 | -8 | +0 | -0 | +1 | +8 | 0.1 |
| 2030 | 29 | MLB MLE | WSH | 82% | 363 | 318 | 69 | 14 | 1 | 5 | 37 | 61 | 5 | 2 | 1 | 216 | 309 | 309 | 619 | 93 | 251 | 17 | 10 | 285 | 79 | -9 | +0 | -1 | +1 | +8 | -0.1 |
| 2031 | 30 | MLB MLE | WSH | 82% | 350 | 306 | 65 | 13 | 1 | 4 | 36 | 60 | 5 | 1 | 1 | 213 | 306 | 301 | 607 | 88 | 250 | 17 | 10 | 280 | 76 | -10 | -0 | -2 | +1 | +8 | -0.3 |
| 2028 | 27 | MLB CTX | WSH | 82% | 316 | 275 | 60 | 12 | 1 | 4 | 33 | 51 | 5 | 4 | 1 | 221 | 314 | 320 | 634 | 99 | 254 | 16 | 10 | 291 | 83 | -6 | +0 | +0 | +1 | +7 | 0.3 |
| 2029 | 28 | MLB CTX | WSH | 82% | 309 | 269 | 59 | 12 | 1 | 4 | 32 | 51 | 5 | 3 | 1 | 219 | 312 | 315 | 627 | 96 | 253 | 17 | 10 | 288 | 81 | -7 | +0 | -0 | +1 | +7 | 0.1 |
| 2030 | 29 | MLB CTX | WSH | 82% | 298 | 261 | 57 | 11 | 1 | 4 | 31 | 50 | 4 | 2 | 1 | 217 | 309 | 309 | 618 | 92 | 252 | 17 | 10 | 285 | 79 | -7 | +0 | -1 | +1 | +6 | -0.1 |
| 2031 | 30 | MLB CTX | WSH | 82% | 287 | 252 | 54 | 11 | 1 | 3 | 29 | 49 | 4 | 1 | 1 | 213 | 306 | 301 | 607 | 87 | 250 | 17 | 10 | 280 | 76 | -8 | -0 | -1 | +1 | +6 | -0.3 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1640 | 1424 | 313 | 63 | 5 | 19 | 171 | 267 | 25 | 12 | 5 | 220 | 314 | 311 | 625 | 91 | 256 | 16 | 10 | 287 | 84 | -38 | +0 | -2 | +8 | +36 | 0.4 | |
| / 162G | — | A+C | — | 650 | 564 | 125 | 25 | 2 | 8 | 68 | 106 | 10 | 5 | 2 | 222 | 316 | 316 | 631 | 94 | 258 | 16 | 10 | 287 | 84 | -15 | +0 | -1 | +3 | +14 | 0.2 | |
| Career | — | MLE | — | 5370 | 4683 | 1079 | 203 | 24 | 72 | 487 | 838 | 142 | 111 | 39 | 230 | 322 | 330 | 652 | 100 | 264 | 16 | 9 | 293 | 84 | -52 | +1 | -2 | +10 | +50 | 0.7 | |
| / 162G | — | MLE | — | 650 | 567 | 131 | 25 | 3 | 9 | 59 | 101 | 17 | 13 | 5 | 231 | 322 | 333 | 655 | 102 | 263 | 16 | 9 | 293 | 84 | -15 | +0 | -0 | +3 | +14 | 0.2 | |
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 AAAScranton/Wilkes-Barre RailRiders · 459 PAwOBA .337 → .296 (−41)K% 9.8% → 12.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.80% | ÷0.979 | ×1.200 | — | — | 12.02% |
| BB% (unintentional) /PA | 13.73% | ÷1.078 | ×0.690 | — | ×1.048 | 9.21% |
| HBP% /PA | 2.40% | — | ×0.940 | — | ×1.048 | 2.36% |
| Singles /BIP | 22.80% | ÷1.008 | ×0.930 | ×0.979 | ×1.048 | 21.58% |
| Doubles /BIP | 6.38% | ÷1.020 | ×0.830 | ×0.979 | ×1.048 | 5.33% |
| Triples /BIP | 0.30% | ÷0.944 | ×0.970 | ×0.979 | ×1.048 | 0.32% |
| Home runs /BIP | 1.22% | ÷1.070 | ×0.700 | — | ×1.048 | 0.83% |
Factors used: league row International League. Park (home-season share, regressed): HR 114, 1B 102, 2B 104, 3B 89, K 96, BB 116 — 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 ×0.979.
Result: wOBA .337 → .296; ISO .094 → .079; BABIP .295 → .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).
2024 AAAScranton/Wilkes-Barre RailRiders · 422 PAwOBA .319 → .274 (−45)K% 16.6% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.59% | ÷0.990 | ×1.200 | — | — | 20.10% |
| BB% (unintentional) /PA | 13.74% | ÷1.011 | ×0.690 | — | ×1.050 | 9.85% |
| HBP% /PA | 2.13% | — | ×0.940 | — | ×1.050 | 2.10% |
| Singles /BIP | 17.69% | ÷0.976 | ×0.930 | ×0.987 | ×1.050 | 17.46% |
| Doubles /BIP | 6.50% | ÷1.072 | ×0.830 | ×0.987 | ×1.050 | 5.21% |
| Triples /BIP | 0.72% | ÷0.900 | ×0.970 | ×0.987 | ×1.050 | 0.81% |
| Home runs /BIP | 3.25% | ÷1.045 | ×0.700 | — | ×1.050 | 2.29% |
Factors used: league row International League. Park (home-season share, regressed): HR 109, 1B 95, 2B 114, 3B 80, K 98, BB 102 — 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 ×0.987.
Result: wOBA .319 → .274; ISO .141 → .113; BABIP .254 → .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).
2024 A+Hudson Valley Renegades · 18 PAwOBA .341 → .254 (−88)K% 16.7% → 23.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷0.946 | ×1.310 | — | — | 23.08% |
| BB% (unintentional) /PA | 11.11% | ÷1.099 | ×0.600 | — | ×0.998 | 6.05% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×0.998 | 0.00% |
| Singles /BIP | 30.77% | ÷1.025 | ×0.870 | — | ×0.998 | 26.06% |
| Doubles /BIP | 7.69% | ÷1.070 | ×0.780 | — | ×0.998 | 5.60% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.850 | — | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.032 | ×0.880 | — | ×0.998 | 0.00% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 106, 1B 105, 2B 114, 3B 80, K 89, BB 120 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).
Result: wOBA .341 → .254; ISO .062 → .045; BABIP .385 → .317. 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 ATampa Tarpons · 15 PAwOBA .245 → .178 (−67)K% 20.0% → 28.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷0.959 | ×1.360 | — | — | 28.37% |
| BB% (unintentional) /PA | 20.00% | ÷1.061 | ×0.690 | — | ×0.990 | 12.87% |
| HBP% /PA | 6.67% | — | ×0.780 | — | ×0.990 | 5.15% |
| Singles /BIP | 12.50% | ÷1.035 | ×0.920 | — | ×0.990 | 11.00% |
| Doubles /BIP | 0.00% | ÷1.028 | ×0.830 | — | ×0.990 | 0.00% |
| Triples /BIP | 0.00% | ÷0.971 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.979 | ×0.800 | — | ×0.990 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 107, 2B 106, 3B 94, K 92, BB 112 — 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 .245 → .178; ISO .000 → .000; BABIP .125 → .110. 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 AATulsa Drillers · 491 PAwOBA .366 → .331 (−34)K% 10.6% → 12.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.59% | ÷1.023 | ×1.220 | — | — | 12.62% |
| BB% (unintentional) /PA | 11.00% | ÷0.973 | ×0.700 | — | ×1.042 | 8.24% |
| HBP% /PA | 4.89% | — | ×0.870 | — | ×1.042 | 4.43% |
| Singles /BIP | 21.59% | ÷0.992 | ×0.920 | ×0.992 | ×1.042 | 20.69% |
| Doubles /BIP | 6.53% | ÷0.942 | ×0.840 | ×0.992 | ×1.042 | 6.02% |
| Triples /BIP | 0.57% | ÷0.900 | ×0.940 | ×0.992 | ×1.042 | 0.61% |
| Home runs /BIP | 3.41% | ÷1.083 | ×0.800 | — | ×1.042 | 2.62% |
Factors used: league row TL. Park (home-season share, regressed): HR 117, 1B 98, 2B 88, 3B 80, K 105, BB 95 — 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 ×0.992.
Result: wOBA .366 → .331; ISO .156 → .137; BABIP .292 → .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).
2023 AAAOklahoma City Dodgers · 121 PAwOBA .294 → .265 (−29)K% 15.7% → 18.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.70% | ÷1.003 | ×1.200 | — | — | 18.79% |
| BB% (unintentional) /PA | 12.40% | ÷0.976 | ×0.690 | — | ×1.050 | 9.20% |
| HBP% /PA | 2.48% | — | ×0.940 | — | ×1.050 | 2.45% |
| Singles /BIP | 22.89% | ÷1.021 | ×0.930 | ×1.032 | ×1.050 | 22.59% |
| Doubles /BIP | 2.41% | ÷0.983 | ×0.830 | ×1.032 | ×1.050 | 2.20% |
| Triples /BIP | 1.20% | ÷1.150 | ×0.970 | ×1.032 | ×1.050 | 1.10% |
| Home runs /BIP | 1.20% | ÷1.006 | ×0.700 | — | ×1.050 | 0.88% |
Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 104, 2B 97, 3B 130, K 101, 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 ×1.032.
Result: wOBA .294 → .265; ISO .069 → .058; BABIP .265 → .258. 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 A+Great Lakes Loons · 570 PAwOBA .345 → .298 (−47)K% 10.2% → 12.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.18% | ÷1.033 | ×1.270 | — | — | 12.51% |
| BB% (unintentional) /PA | 10.70% | ÷0.980 | ×0.710 | — | ×1.027 | 7.96% |
| HBP% /PA | 3.68% | — | ×0.790 | — | ×1.027 | 2.99% |
| Singles /BIP | 22.09% | ÷1.026 | ×0.920 | ×0.994 | ×1.027 | 20.22% |
| Doubles /BIP | 4.51% | ÷0.985 | ×0.810 | ×0.994 | ×1.027 | 3.79% |
| Triples /BIP | 1.66% | ÷1.150 | ×0.850 | ×0.994 | ×1.027 | 1.25% |
| Home runs /BIP | 2.38% | ÷1.013 | ×0.800 | — | ×1.027 | 1.93% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 103, 1B 105, 2B 97, 3B 130, K 107, BB 96 — 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 ×0.994.
Result: wOBA .345 → .298; ISO .132 → .110; BABIP .285 → .254. 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 ARancho Cucamonga Quakes · 375 PAwOBA .390 → .342 (−48)K% 11.2% → 15.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.20% | ÷1.015 | ×1.360 | — | — | 15.00% |
| BB% (unintentional) /PA | 6.93% | ÷0.985 | ×0.690 | — | ×1.030 | 5.00% |
| HBP% /PA | 4.53% | — | ×0.780 | — | ×1.030 | 3.64% |
| Singles /BIP | 22.73% | ÷0.965 | ×0.920 | ×1.013 | ×1.030 | 22.59% |
| Doubles /BIP | 6.99% | ÷1.166 | ×0.830 | ×1.013 | ×1.030 | 5.19% |
| Triples /BIP | 1.40% | ÷0.960 | ×0.910 | ×1.013 | ×1.030 | 1.38% |
| Home runs /BIP | 4.55% | ÷0.965 | ×0.800 | — | ×1.030 | 3.88% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 93, 2B 133, 3B 92, K 103, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .390 → .342; ISO .204 → .171; BABIP .322 → .300. 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 — .