Keibert Ruiz
C Washington Nationals| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 26 | MLBWSH | 485 | .229/.262/.359 | 13 | 3 | 71 | 0.3 |
| 2025 | 27 | MLBWSH | 267 | .247/.278/.318 | 2 | 0 | 67 | -0.6 |
| 2026 | 28 | MLBWSH | 354 | .280/.319/.443 | 10 | 2 | 110 | 2.1 |
| 2027PROJ | 29 | MLBWSH | 250 | .246/.285/.377 | 5 | 2 | 84 | 0.1 |
| 2028PROJ | 30 | MLBWSH | 256 | .243/.281/.369 | 5 | 1 | 81 | -0.2 |
| 2029PROJ | 31 | MLBWSH | 230 | .238/.276/.359 | 4 | 1 | 76 | -0.4 |
Tools · Recent Form · Splits · ContractCON 55 / POW 35
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.
| 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) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK | DSL Dodgers | — | 159 | 150 | 45 | 8 | 1 | 1 | 8 | 15 | 1 | 4 | 2 | 300 | 340 | 387 | 726 | 87 | 328 | 9 | 5 | 327 | 34 | — | — | — | — | — | — |
| 2016 | 18 | ROK | Ogden Raptors | — | 245 | 222 | 83 | 22 | 3 | 2 | 15 | 27 | 3 | 0 | 0 | 374 | 421 | 527 | 948 | 153 | 409 | 11 | 6 | 411 | 92 | — | — | — | — | — | — |
| 2017 | 19 | A+ | Rancho Cucamonga Quakes | — | 160 | 149 | 47 | 7 | 1 | 6 | 7 | 23 | 1 | 0 | 0 | 315 | 350 | 497 | 847 | 181 | 333 | 14 | 4 | 366 | 99 | — | — | — | — | — | — |
| 2017 | 19 | A | Great Lakes Loons | — | 251 | 227 | 72 | 16 | 1 | 2 | 18 | 30 | 3 | 0 | 0 | 317 | 375 | 423 | 798 | 106 | 355 | 12 | 7 | 355 | 102 | — | — | — | — | — | — |
| 2018 | 20 | AA | Tulsa Drillers | — | 415 | 377 | 101 | 14 | 0 | 12 | 26 | 33 | 9 | 0 | 1 | 268 | 330 | 401 | 731 | 133 | 266 | 8 | 6 | 327 | 78 | — | — | — | — | — | — |
| 2018 | 20 | INTL | Glendale Desert Dogs | — | 56 | 49 | 14 | 1 | 0 | 0 | 6 | 2 | 0 | 0 | 0 | 286 | 364 | 306 | 670 | 20 | 292 | 4 | 11 | 308 | 94 | — | — | — | — | — | — |
| 2019 | 21 | AAA | Oklahoma City Dodgers | — | 40 | 38 | 12 | 0 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 316 | 350 | 474 | 824 | 158 | 286 | 2 | 5 | 365 | 91 | — | — | — | — | — | — |
| 2019 | 21 | AA | Tulsa Drillers | — | 310 | 276 | 70 | 9 | 0 | 4 | 28 | 21 | 4 | 0 | 0 | 254 | 331 | 330 | 661 | 76 | 261 | 7 | 9 | 303 | 61 | — | — | — | — | — | — |
| 2020 | 22 | INTL | Leones del Caracas | — | 36 | 31 | 4 | 1 | 0 | 0 | 5 | 1 | 0 | 1 | 0 | 129 | 250 | 161 | 411 | 32 | 133 | 3 | 14 | 208 | 27 | — | — | — | — | — | — |
| 2021 | 23 | MLB | Washington Nationals | — | 96 | 88 | 24 | 3 | 0 | 3 | 6 | 9 | 2 | 0 | 0 | 273 | 333 | 409 | 742 | 136 | 276 | 9 | 6 | 334 | 112 | +1 | +0 | +2 | +7 | +2 | 1.3 |
| 2021 | 23 | AAA | Rochester Red Wings | — | 316 | 284 | 88 | 24 | 0 | 21 | 30 | 33 | 1 | 0 | 0 | 310 | 378 | 616 | 994 | 306 | 290 | 10 | 9 | 428 | 119 | — | — | — | — | — | — |
| 2022 | 24 | MLB | Washington Nationals | — | 433 | 394 | 99 | 22 | 0 | 7 | 30 | 50 | 6 | 6 | 1 | 251 | 314 | 360 | 674 | 109 | 271 | 12 | 7 | 304 | 91 | -5 | +1 | +4 | +8 | +9 | 1.8 |
| 2023 | 25 | MLB | Washington Nationals | — | 562 | 523 | 136 | 24 | 0 | 18 | 31 | 58 | 6 | 1 | 1 | 260 | 309 | 409 | 718 | 149 | 263 | 10 | 6 | 319 | 101 | +0 | -0 | -13 | +10 | +12 | 1.0 |
| 2024 | 26 | MLB | Washington Nationals | — | 485 | 459 | 105 | 21 | 0 | 13 | 16 | 54 | 5 | 3 | 1 | 229 | 263 | 359 | 622 | 131 | 232 | 11 | 3 | 274 | 71 | -17 | +0 | +0 | +9 | +11 | 0.3 |
| 2025 | 27 | MLB | Washington Nationals | — | 267 | 255 | 63 | 12 | 0 | 2 | 8 | 26 | 3 | 0 | 2 | 247 | 278 | 318 | 596 | 71 | 268 | 10 | 3 | 269 | 67 | -10 | -1 | -5 | +5 | +6 | -0.6 |
| 2026 | 28 | MLB | Washington Nationals | — | 354 | 332 | 93 | 24 | 0 | 10 | 16 | 37 | 3 | 2 | 1 | 280 | 319 | 443 | 762 | 163 | 288 | 10 | 5 | 334 | 110 | +4 | +0 | +2 | +6 | +8 | 2.1 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 2197 | 2051 | 520 | 106 | 0 | 53 | 107 | 234 | 25 | 12 | 6 | 254 | 299 | 383 | 681 | 129 | 263 | 11 | 5 | 303 | 91 | -23 | +0 | -9 | +45 | +48 | 6.2 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK MLE | DSL Dodgers | — | 159 | 152 | 31 | 5 | 1 | 0 | 6 | 18 | 1 | 4 | 2 | 204 | 239 | 250 | 489 | 46 | 228 | 11 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | Ogden Raptors | — | 245 | 228 | 64 | 15 | 2 | 2 | 9 | 39 | 3 | 0 | 0 | 281 | 317 | 390 | 707 | 110 | 314 | 16 | 4 | 304 | 92 | — | — | — | — | — | — |
| 2017 | 19 | A+ MLE | Rancho Cucamonga Quakes | — | 160 | 153 | 43 | 6 | 1 | 5 | 3 | 31 | 1 | 0 | 0 | 281 | 299 | 431 | 731 | 150 | 303 | 19 | 2 | 314 | 99 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | Great Lakes Loons | — | 251 | 233 | 70 | 14 | 1 | 2 | 12 | 41 | 3 | 0 | 0 | 300 | 343 | 395 | 738 | 94 | 349 | 16 | 5 | 319 | 102 | — | — | — | — | — | — |
| 2018 | 20 | AA MLE | Tulsa Drillers | — | 415 | 385 | 96 | 13 | 0 | 9 | 18 | 42 | 9 | 0 | 1 | 249 | 299 | 353 | 652 | 104 | 254 | 10 | 4 | 284 | 78 | — | — | — | — | — | — |
| 2019 | 21 | AAA MLE | Oklahoma City Dodgers | — | 40 | 38 | 11 | 0 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 289 | 325 | 447 | 772 | 158 | 254 | 2 | 5 | 303 | 91 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | Tulsa Drillers | — | 310 | 286 | 65 | 7 | 0 | 4 | 18 | 27 | 4 | 0 | 0 | 227 | 282 | 294 | 576 | 66 | 236 | 9 | 6 | 259 | 61 | — | — | — | — | — | — |
| 2021 | 23 | MLB MLE | Washington Nationals | — | 96 | 88 | 24 | 3 | 0 | 3 | 6 | 9 | 2 | 0 | 0 | 273 | 333 | 409 | 742 | 136 | 276 | 9 | 6 | 333 | 112 | +1 | +0 | +2 | +7 | +2 | 1.3 |
| 2021 | 23 | AAA MLE | Rochester Red Wings | — | 316 | 293 | 77 | 20 | 0 | 16 | 21 | 40 | 1 | 0 | 0 | 263 | 314 | 495 | 809 | 232 | 254 | 13 | 7 | 344 | 119 | — | — | — | — | — | — |
| 2022 | 24 | MLB MLE | Washington Nationals | — | 433 | 394 | 99 | 22 | 0 | 7 | 30 | 50 | 6 | 6 | 1 | 251 | 314 | 360 | 674 | 109 | 271 | 12 | 7 | 303 | 91 | -5 | +1 | +4 | +8 | +9 | 1.8 |
| 2023 | 25 | MLB MLE | Washington Nationals | — | 562 | 524 | 136 | 24 | 0 | 18 | 30 | 58 | 6 | 1 | 1 | 260 | 307 | 408 | 716 | 149 | 263 | 10 | 5 | 317 | 101 | +0 | -0 | -13 | +10 | +12 | 1.0 |
| 2024 | 26 | MLB MLE | Washington Nationals | — | 485 | 459 | 105 | 21 | 0 | 13 | 16 | 54 | 5 | 3 | 1 | 229 | 263 | 359 | 622 | 131 | 232 | 11 | 3 | 274 | 71 | -17 | +0 | +0 | +9 | +11 | 0.3 |
| 2025 | 27 | MLB MLE | Washington Nationals | — | 267 | 255 | 63 | 12 | 0 | 2 | 8 | 26 | 3 | 0 | 2 | 247 | 278 | 318 | 596 | 71 | 268 | 10 | 3 | 268 | 67 | -10 | -1 | -5 | +5 | +6 | -0.6 |
| 2026 | 28 | MLB MLE | Washington Nationals | — | 354 | 333 | 93 | 24 | 0 | 10 | 15 | 37 | 3 | 2 | 1 | 279 | 316 | 441 | 758 | 162 | 288 | 10 | 4 | 331 | 110 | +4 | +0 | +2 | +6 | +8 | 2.1 |
| 2015 | 17 | ROK MLE | DSL Dodgers | — | 159 | 152 | 31 | 5 | 1 | 0 | 6 | 18 | 1 | 4 | 2 | 204 | 239 | 250 | 489 | 46 | 231 | 11 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2015 | 17 | ROK RAW | DSL Dodgers | — | 159 | 150 | 45 | 8 | 1 | 1 | 8 | 15 | 1 | 4 | 2 | 300 | 340 | 387 | 726 | 87 | 328 | 9 | 5 | 327 | 34 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | Ogden Raptors | — | 245 | 228 | 64 | 15 | 2 | 2 | 9 | 39 | 3 | 0 | 0 | 281 | 317 | 390 | 707 | 110 | 323 | 16 | 4 | 304 | 92 | — | — | — | — | — | — |
| 2016 | 18 | ROK RAW | Ogden Raptors | — | 245 | 222 | 83 | 22 | 3 | 2 | 15 | 27 | 3 | 0 | 0 | 374 | 421 | 527 | 948 | 153 | 409 | 11 | 6 | 411 | 92 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | 2 teams | — | 411 | 385 | 112 | 19 | 2 | 7 | 16 | 72 | 4 | 0 | 0 | 291 | 326 | 405 | 731 | 114 | 338 | 18 | 4 | 317 | 101 | — | — | — | — | — | — |
| 2017 | 19 | A RAW | 2 teams | — | 411 | 376 | 119 | 23 | 2 | 8 | 25 | 53 | 4 | 0 | 0 | 316 | 365 | 452 | 818 | 136 | 347 | 13 | 6 | 359 | 101 | — | — | — | — | — | — |
| 2018 | 20 | AA MLE | 2 teams | — | 471 | 438 | 108 | 14 | 0 | 10 | 20 | 48 | 9 | 0 | 1 | 247 | 293 | 347 | 640 | 100 | 255 | 10 | 4 | 284 | 78 | — | — | — | — | — | — |
| 2018 | 20 | AA RAW | 2 teams | — | 471 | 426 | 115 | 15 | 0 | 12 | 32 | 35 | 9 | 0 | 1 | 270 | 334 | 390 | 724 | 120 | 269 | 7 | 7 | 324 | 78 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | 2 teams | — | 350 | 324 | 75 | 7 | 0 | 5 | 20 | 28 | 4 | 0 | 0 | 231 | 284 | 299 | 584 | 68 | 239 | 8 | 6 | 264 | 65 | — | — | — | — | — | — |
| 2019 | 21 | AA RAW | 2 teams | — | 350 | 314 | 82 | 9 | 0 | 6 | 30 | 22 | 4 | 0 | 0 | 261 | 333 | 347 | 680 | 86 | 264 | 6 | 9 | 310 | 65 | — | — | — | — | — | — |
| 2020 | 22 | INTL MLE | Leones del Caracas | — | 36 | 31 | 4 | 1 | 0 | 0 | 5 | 1 | 0 | 1 | 0 | 129 | 250 | 161 | 411 | 32 | 133 | 3 | 14 | — | — | — | — | — | — | — | — |
| 2020 | 22 | INTL RAW | Leones del Caracas | — | 36 | 31 | 4 | 1 | 0 | 0 | 5 | 1 | 0 | 1 | 0 | 129 | 250 | 161 | 411 | 32 | 133 | 3 | 14 | 208 | 27 | — | — | — | — | — | — |
| 2021 | 23 | AAA MLE | 2 teams | — | 412 | 381 | 101 | 23 | 0 | 19 | 27 | 49 | 3 | 0 | 0 | 265 | 319 | 475 | 794 | 210 | 261 | 12 | 7 | 341 | 117 | — | — | — | — | — | — |
| 2021 | 23 | AAA RAW | 2 teams | — | 412 | 372 | 112 | 27 | 0 | 24 | 36 | 42 | 3 | 0 | 0 | 301 | 367 | 567 | 935 | 266 | 287 | 10 | 9 | 406 | 117 | — | — | — | — | — | — |
| 2022 | 24 | MLB MLE | Washington Nationals | — | 433 | 394 | 99 | 22 | 0 | 7 | 30 | 50 | 6 | 6 | 1 | 251 | 314 | 360 | 674 | 109 | 271 | 12 | 7 | 303 | 91 | -5 | +1 | +4 | +8 | +9 | 1.8 |
| 2022 | 24 | MLB RAW | Washington Nationals | — | 433 | 394 | 99 | 22 | 0 | 7 | 30 | 50 | 6 | 6 | 1 | 251 | 314 | 360 | 674 | 109 | 271 | 12 | 7 | 304 | 91 | -5 | +1 | +4 | +8 | +9 | 1.8 |
| 2023 | 25 | MLB MLE | Washington Nationals | — | 562 | 524 | 136 | 24 | 0 | 18 | 30 | 58 | 6 | 1 | 1 | 260 | 307 | 408 | 716 | 149 | 262 | 10 | 5 | 317 | 101 | +0 | -0 | -13 | +10 | +12 | 1.0 |
| 2023 | 25 | MLB RAW | Washington Nationals | — | 562 | 523 | 136 | 24 | 0 | 18 | 31 | 58 | 6 | 1 | 1 | 260 | 309 | 409 | 718 | 149 | 263 | 10 | 6 | 319 | 101 | +0 | -0 | -13 | +10 | +12 | 1.0 |
| 2024 | 26 | MLB MLE | Washington Nationals | — | 485 | 459 | 105 | 21 | 0 | 13 | 16 | 54 | 5 | 3 | 1 | 229 | 263 | 359 | 622 | 131 | 232 | 11 | 3 | 274 | 71 | -17 | +0 | +0 | +9 | +11 | 0.3 |
| 2024 | 26 | MLB RAW | Washington Nationals | — | 485 | 459 | 105 | 21 | 0 | 13 | 16 | 54 | 5 | 3 | 1 | 229 | 263 | 359 | 622 | 131 | 232 | 11 | 3 | 274 | 71 | -17 | +0 | +0 | +9 | +11 | 0.3 |
| 2025 | 27 | MLB MLE | Washington Nationals | — | 267 | 255 | 63 | 12 | 0 | 2 | 8 | 26 | 3 | 0 | 2 | 247 | 278 | 318 | 596 | 71 | 268 | 10 | 3 | 268 | 67 | -10 | -1 | -5 | +5 | +6 | -0.6 |
| 2025 | 27 | MLB RAW | Washington Nationals | — | 267 | 255 | 63 | 12 | 0 | 2 | 8 | 26 | 3 | 0 | 2 | 247 | 278 | 318 | 596 | 71 | 268 | 10 | 3 | 269 | 67 | -10 | -1 | -5 | +5 | +6 | -0.6 |
| 2026 | 28 | MLB MLE | Washington Nationals | — | 354 | 333 | 93 | 24 | 0 | 10 | 15 | 37 | 3 | 2 | 1 | 279 | 316 | 441 | 758 | 162 | 287 | 10 | 4 | 331 | 110 | +4 | +0 | +2 | +6 | +8 | 2.1 |
| 2026 | 28 | MLB RAW | Washington Nationals | — | 354 | 332 | 93 | 24 | 0 | 10 | 16 | 37 | 3 | 2 | 1 | 280 | 319 | 443 | 762 | 163 | 288 | 10 | 5 | 334 | 110 | +4 | +0 | +2 | +6 | +8 | 2.1 |
| 2015 | 17 | ROK MLE | DSL Dodgers | — | 159 | 151 | 31 | 5 | 1 | 0 | 6 | 18 | 1 | 4 | 2 | 205 | 239 | 252 | 491 | 46 | 228 | 11 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | Ogden Raptors | — | 245 | 231 | 64 | 15 | 2 | 2 | 9 | 39 | 3 | 0 | 0 | 277 | 317 | 385 | 702 | 108 | 314 | 16 | 4 | 304 | 92 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | 2 teams | — | 411 | 388 | 112 | 19 | 2 | 7 | 16 | 72 | 4 | 0 | 0 | 289 | 326 | 402 | 728 | 113 | 331 | 18 | 4 | 317 | 101 | — | — | — | — | — | — |
| 2018 | 20 | AA MLE | 2 teams | — | 471 | 439 | 108 | 14 | 0 | 10 | 20 | 48 | 9 | 0 | 1 | 246 | 293 | 346 | 640 | 100 | 254 | 10 | 4 | 284 | 78 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | 2 teams | — | 350 | 323 | 75 | 7 | 0 | 5 | 20 | 28 | 4 | 0 | 0 | 232 | 284 | 300 | 585 | 68 | 238 | 8 | 6 | 264 | 65 | — | — | — | — | — | — |
| 2021 | 23 | AAA MLE | 2 teams | — | 412 | 379 | 101 | 23 | 0 | 19 | 27 | 49 | 3 | 0 | 0 | 266 | 319 | 478 | 796 | 211 | 259 | 12 | 7 | 341 | 117 | — | — | — | — | — | — |
| 2022 | 24 | MLB MLE | Washington Nationals | — | 433 | 394 | 99 | 22 | 0 | 7 | 30 | 50 | 6 | 6 | 1 | 251 | 314 | 360 | 674 | 109 | 271 | 12 | 7 | 303 | 91 | — | — | — | — | — | — |
| 2023 | 25 | MLB MLE | Washington Nationals | — | 562 | 521 | 136 | 24 | 0 | 18 | 30 | 58 | 6 | 1 | 1 | 261 | 307 | 411 | 718 | 150 | 263 | 10 | 5 | 317 | 101 | — | — | — | — | — | — |
| 2024 | 26 | MLB MLE | Washington Nationals | — | 485 | 461 | 105 | 21 | 0 | 13 | 16 | 54 | 5 | 3 | 1 | 228 | 263 | 358 | 620 | 130 | 232 | 11 | 3 | 274 | 71 | — | — | — | — | — | — |
| 2025 | 27 | MLB MLE | Washington Nationals | — | 267 | 254 | 63 | 12 | 0 | 2 | 8 | 26 | 3 | 0 | 2 | 248 | 278 | 319 | 597 | 71 | 268 | 10 | 3 | 268 | 67 | — | — | — | — | — | — |
| 2026 | 28 | MLB MLE | Washington Nationals | — | 354 | 333 | 93 | 24 | 0 | 10 | 15 | 37 | 3 | 2 | 1 | 279 | 316 | 441 | 758 | 162 | 288 | 10 | 4 | 331 | 110 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 26 | MLB MLE | Washington Nationals | — | 485 | 461 | 105 | 21 | 0 | 13 | 16 | 54 | 5 | 3 | 1 | 228 | 263 | 358 | 620 | 130 | 232 | 11 | 3 | 274 | 71 | — | — | — | — | — | — |
| 2025 | 27 | MLB MLE | Washington Nationals | — | 267 | 254 | 63 | 12 | 0 | 2 | 8 | 26 | 3 | 0 | 2 | 248 | 278 | 319 | 597 | 71 | 268 | 10 | 3 | 268 | 67 | — | — | — | — | — | — |
| 2026 | 28 | MLB MLE | Washington Nationals | — | 354 | 333 | 93 | 24 | 0 | 10 | 15 | 37 | 3 | 2 | 1 | 279 | 316 | 441 | 758 | 162 | 288 | 10 | 4 | 331 | 110 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 29 | MLB MLE | WSH | 100% | 361 | 340 | 84 | 21 | 0 | 8 | 15 | 42 | 3 | 2 | 1 | 245 | 284 | 376 | 660 | 130 | 258 | 12 | 4 | 292 | 84 | -7 | +0 | -6 | +6 | +8 | 0.3 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 29 | MLB CTX | WSH | 100% | 250 | 236 | 57 | 14 | 0 | 5 | 10 | 29 | 2 | 2 | 1 | 246 | 285 | 377 | 662 | 131 | 259 | 12 | 4 | 293 | 84 | -5 | +0 | -4 | +4 | +5 | 0.1 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 30 | MLB MLE | WSH | 100% | 256 | 241 | 58 | 14 | 0 | 5 | 11 | 31 | 2 | 1 | 1 | 242 | 281 | 368 | 648 | 126 | 256 | 12 | 4 | 287 | 81 | -6 | -0 | -6 | +5 | +6 | -0.2 |
| 2029 | 31 | MLB MLE | WSH | 100% | 230 | 217 | 51 | 13 | 0 | 4 | 9 | 28 | 2 | 1 | 0 | 237 | 275 | 357 | 632 | 120 | 253 | 12 | 4 | 281 | 76 | -7 | +0 | -6 | +4 | +5 | -0.4 |
| 2028 | 30 | MLB CTX | WSH | 100% | 256 | 241 | 59 | 15 | 0 | 5 | 11 | 31 | 2 | 1 | 1 | 243 | 281 | 369 | 651 | 126 | 257 | 12 | 4 | 288 | 81 | -6 | -0 | -6 | +5 | +6 | -0.2 |
| 2029 | 31 | MLB CTX | WSH | 100% | 230 | 217 | 51 | 13 | 0 | 4 | 9 | 28 | 2 | 1 | 0 | 238 | 276 | 359 | 635 | 121 | 254 | 12 | 4 | 282 | 76 | -7 | +0 | -6 | +4 | +5 | -0.4 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 2683 | 2509 | 630 | 134 | 0 | 62 | 127 | 293 | 29 | 14 | 7 | 251 | 295 | 379 | 674 | 128 | 262 | 11 | 5 | 300 | 85 | -35 | +0 | -21 | +54 | +58 | 5.7 | |
| / 162G | — | A+C | — | 650 | 608 | 152 | 32 | 0 | 15 | 31 | 71 | 7 | 3 | 2 | 250 | 295 | 377 | 671 | 127 | 260 | 11 | 5 | 300 | 85 | -9 | +0 | -5 | +13 | +14 | 1.4 | |
| Career | — | MLE | — | 4921 | 4598 | 1157 | 228 | 5 | 107 | 232 | 568 | 53 | 21 | 11 | 252 | 295 | 373 | 669 | 122 | 265 | 12 | 5 | 294 | 85 | -40 | +0 | -25 | +58 | +64 | 5.8 | |
| / 162G | — | MLE | — | 650 | 607 | 153 | 30 | 1 | 14 | 31 | 75 | 7 | 3 | 1 | 252 | 296 | 374 | 670 | 122 | 266 | 12 | 5 | 294 | 85 | -9 | +0 | -6 | +13 | +14 | 1.3 | |
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.
2021 AAARochester Red Wings · 316 PAwOBA .416 → .344 (−72)K% 10.4% → 12.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.44% | ÷0.979 | ×1.200 | — | — | 12.80% |
| BB% (unintentional) /PA | 9.18% | ÷1.014 | ×0.690 | — | ×1.050 | 6.56% |
| HBP% /PA | 0.32% | — | ×0.940 | — | ×1.050 | 0.31% |
| Singles /BIP | 17.13% | ÷0.994 | ×0.930 | ×0.950 | ×1.050 | 15.98% |
| Doubles /BIP | 9.56% | ÷1.005 | ×0.830 | ×0.950 | ×1.050 | 7.88% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×0.950 | ×1.050 | 0.00% |
| Home runs /BIP | 8.37% | ÷0.968 | ×0.700 | — | ×1.050 | 6.35% |
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 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 ×0.950.
Result: wOBA .416 → .344; ISO .306 → .241; BABIP .290 → .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).
2019 AATulsa Drillers · 310 PAwOBA .295 → .259 (−36)K% 6.8% → 8.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 6.77% | ÷0.954 | ×1.220 | — | — | 8.67% |
| BB% (unintentional) /PA | 8.39% | ÷1.063 | ×0.700 | — | ×1.050 | 5.80% |
| HBP% /PA | 1.29% | — | ×0.870 | — | ×1.050 | 1.18% |
| Singles /BIP | 22.35% | ÷0.997 | ×0.920 | ×0.950 | ×1.050 | 20.57% |
| Doubles /BIP | 3.53% | ÷1.048 | ×0.840 | ×0.950 | ×1.050 | 2.82% |
| Triples /BIP | 0.00% | ÷0.925 | ×0.940 | ×0.950 | ×1.050 | 0.00% |
| Home runs /BIP | 1.57% | ÷0.909 | ×0.800 | — | ×1.050 | 1.45% |
Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 99, 2B 110, 3B 85, K 91, BB 113 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .295 → .259; ISO .076 → .068; BABIP .261 → .236. 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 AAAOklahoma City Dodgers · 40 PAwOBA .355 → .303 (−52)K% 2.5% → 3.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 2.50% | ÷1.014 | ×1.290 | — | — | 3.18% |
| BB% (unintentional) /PA | 5.00% | ÷0.993 | ×0.710 | — | ×1.050 | 3.75% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.050 | 0.00% |
| Singles /BIP | 27.03% | ÷1.048 | ×0.900 | — | ×1.050 | 24.38% |
| Doubles /BIP | 0.00% | ÷1.012 | ×0.810 | — | ×1.050 | 0.00% |
| Triples /BIP | 0.00% | ÷1.045 | ×0.810 | — | ×1.050 | 0.00% |
| Home runs /BIP | 5.41% | ÷1.073 | ×0.780 | — | ×1.050 | 4.13% |
Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 110, 2B 102, 3B 109, K 103, BB 99 — 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).
Result: wOBA .355 → .303; ISO .158 → .121; BABIP .286 → .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).
2018 AATulsa Drillers · 415 PAwOBA .319 → .284 (−35)K% 8.0% → 10.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.95% | ÷0.964 | ×1.220 | — | — | 10.07% |
| BB% (unintentional) /PA | 6.02% | ÷1.033 | ×0.700 | — | ×1.050 | 4.29% |
| HBP% /PA | 2.17% | — | ×0.870 | — | ×1.050 | 1.98% |
| Singles /BIP | 21.80% | ÷0.987 | ×0.920 | ×1.000 | ×1.050 | 21.35% |
| Doubles /BIP | 4.07% | ÷0.991 | ×0.840 | ×1.000 | ×1.050 | 3.62% |
| Triples /BIP | 0.00% | ÷0.907 | ×0.940 | ×1.000 | ×1.050 | 0.00% |
| Home runs /BIP | 3.49% | ÷1.147 | ×0.800 | — | ×1.050 | 2.55% |
Factors used: league row TL. Park (home-season share, regressed): HR 129, 1B 97, 2B 98, 3B 81, K 93, BB 107 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.
Result: wOBA .319 → .284; ISO .133 → .104; BABIP .266 → .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).
2017 AGreat Lakes Loons · 251 PAwOBA .348 → .319 (−30)K% 12.0% → 16.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.95% | ÷0.990 | ×1.360 | — | — | 16.42% |
| BB% (unintentional) /PA | 7.17% | ÷1.048 | ×0.690 | — | ×1.045 | 4.93% |
| HBP% /PA | 1.20% | — | ×0.780 | — | ×1.045 | 0.97% |
| Singles /BIP | 26.90% | ÷0.965 | ×0.920 | ×1.020 | ×1.045 | 27.33% |
| Doubles /BIP | 8.12% | ÷1.013 | ×0.830 | ×1.020 | ×1.045 | 7.10% |
| Triples /BIP | 0.51% | ÷1.013 | ×0.910 | ×1.020 | ×1.045 | 0.49% |
| Home runs /BIP | 1.02% | ÷0.970 | ×0.800 | — | ×1.045 | 0.88% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 93, 2B 103, 3B 103, K 98, BB 110 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.
Result: wOBA .348 → .319; ISO .106 → .092; BABIP .355 → .349. 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 A+Rancho Cucamonga Quakes · 160 PAwOBA .358 → .314 (−44)K% 14.4% → 19.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.37% | ÷0.990 | ×1.340 | — | — | 19.46% |
| BB% (unintentional) /PA | 3.12% | ÷1.099 | ×0.710 | — | ×1.050 | 2.12% |
| HBP% /PA | 0.62% | — | ×0.790 | — | ×1.050 | 0.52% |
| Singles /BIP | 26.19% | ÷1.006 | ×0.910 | ×0.993 | ×1.050 | 24.71% |
| Doubles /BIP | 5.56% | ÷1.064 | ×0.820 | ×0.993 | ×1.050 | 4.47% |
| Triples /BIP | 0.79% | ÷1.150 | ×0.760 | ×0.993 | ×1.050 | 0.55% |
| Home runs /BIP | 4.76% | ÷1.085 | ×0.920 | — | ×1.050 | 4.24% |
Factors used: league row CAL. Park (home-season share, regressed): HR 117, 1B 101, 2B 113, 3B 130, K 98, BB 120 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.
Result: wOBA .358 → .314; ISO .181 → .153; BABIP .333 → .303. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2016 ROKOgden Raptors · 245 PAwOBA .408 → .304 (−104)K% 11.0% → 15.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.02% | ÷1.000 | ×1.440 | — | — | 15.87% |
| BB% (unintentional) /PA | 6.12% | ÷1.000 | ×0.610 | — | ×1.022 | 3.82% |
| HBP% /PA | 1.22% | — | ×0.720 | — | ×1.022 | 0.90% |
| Singles /BIP | 28.72% | ÷1.000 | ×0.820 | ×0.955 | ×1.022 | 22.99% |
| Doubles /BIP | 11.28% | ÷1.000 | ×0.720 | ×0.955 | ×1.022 | 7.93% |
| Triples /BIP | 1.54% | ÷1.000 | ×0.720 | ×0.955 | ×1.022 | 1.08% |
| Home runs /BIP | 1.03% | ÷1.000 | ×0.750 | — | ×1.022 | 0.79% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.
Result: wOBA .408 → .304; ISO .153 → .109; BABIP .409 → .314. 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).
2015 DSLDSL Dodgers · 159 PAwOBA .318 → .218 (−101)K% 9.4% → 11.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.43% | ÷1.000 | ×1.220 | — | — | 11.51% |
| BB% (unintentional) /PA | 5.03% | ÷1.000 | ×0.700 | — | ×1.022 | 3.60% |
| HBP% /PA | 0.63% | — | ×0.700 | — | ×1.022 | 0.45% |
| Singles /BIP | 25.93% | ÷1.000 | ×0.680 | ×1.029 | ×1.022 | 18.56% |
| Doubles /BIP | 5.93% | ÷1.000 | ×0.600 | ×1.029 | ×1.022 | 3.74% |
| Triples /BIP | 0.74% | ÷1.000 | ×0.600 | ×1.029 | ×1.022 | 0.47% |
| Home runs /BIP | 0.74% | ÷1.000 | ×0.470 | — | ×1.022 | 0.36% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.
Result: wOBA .318 → .218; ISO .087 → .051; BABIP .328 → .228. 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 — .