Ryan O'Hearn
RF Pittsburgh Pirates| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 31 | MLBBAL | 494 | .264/.336/.427 | 15 | 3 | 110 | 0.5 |
| 2025 | 32 | MLBSD | 544 | .281/.369/.437 | 17 | 3 | 128 | 2.2 |
| 2026 | 33 | MLBPIT | 451 | .265/.333/.440 | 18 | 1 | 120 | 1.7 |
| 2027PROJ | 34 | MLBPIT | 353 | .261/.335/.423 | 12 | 3 | 117 | 1.1 |
| 2028PROJ | 35 | MLBPIT | 273 | .249/.322/.397 | 9 | 0 | 106 | -0.1 |
Tools · Recent Form · Splits · 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) | |||||||||||||||||||||||||||||||
| 2014 | 21 | ROK | Idaho Falls Chukars | — | 293 | 249 | 90 | 16 | 1 | 13 | 39 | 59 | 1 | 3 | 2 | 361 | 450 | 590 | 1.040 | 229 | 425 | 20 | 13 | 449 | 106 | — | — | — | — | — | — |
| 2015 | 22 | A+ | Wilmington Blue Rocks | — | 181 | 161 | 38 | 10 | 0 | 8 | 19 | 54 | 0 | 0 | 0 | 236 | 317 | 447 | 764 | 211 | 300 | 30 | 10 | 336 | 62 | — | — | — | — | — | — |
| 2015 | 22 | A | Lexington Legends | — | 356 | 314 | 87 | 11 | 0 | 19 | 36 | 87 | 2 | 7 | 2 | 277 | 355 | 494 | 849 | 217 | 321 | 24 | 10 | 370 | 76 | — | — | — | — | — | — |
| 2016 | 23 | AA | Northwest Arkansas Naturals | — | 466 | 414 | 107 | 25 | 2 | 15 | 48 | 131 | 3 | 3 | 5 | 258 | 340 | 437 | 777 | 179 | 342 | 28 | 10 | 346 | 72 | — | — | — | — | — | — |
| 2016 | 23 | A+ | Wilmington Blue Rocks | — | 98 | 88 | 31 | 7 | 0 | 7 | 8 | 27 | 1 | 0 | 0 | 352 | 412 | 670 | 1.083 | 318 | 436 | 28 | 8 | 462 | 145 | — | — | — | — | — | — |
| 2016 | 23 | INTL | Surprise Saguaros | — | 99 | 86 | 25 | 4 | 0 | 1 | 13 | 26 | 0 | 0 | 0 | 291 | 384 | 372 | 756 | 81 | 407 | 26 | 13 | 347 | 121 | — | — | — | — | — | — |
| 2017 | 24 | AAA | Omaha Storm Chasers | — | 463 | 413 | 104 | 26 | 1 | 18 | 45 | 119 | 1 | 1 | 0 | 252 | 327 | 450 | 777 | 199 | 309 | 26 | 10 | 341 | 77 | — | — | — | — | — | — |
| 2017 | 24 | AA | Northwest Arkansas Naturals | — | 76 | 66 | 17 | 1 | 1 | 4 | 10 | 20 | 0 | 0 | 0 | 258 | 355 | 485 | 840 | 227 | 310 | 26 | 13 | 370 | 74 | — | — | — | — | — | — |
| 2018 | 25 | MLB | Kansas City Royals | — | 170 | 149 | 39 | 10 | 2 | 12 | 20 | 45 | 1 | 0 | 0 | 262 | 353 | 597 | 950 | 336 | 293 | 26 | 12 | 408 | 170 | +14 | +0 | -2 | -11 | +4 | 0.4 |
| 2018 | 25 | AAA | Omaha Storm Chasers | — | 406 | 353 | 82 | 21 | 1 | 11 | 45 | 97 | 3 | 2 | 0 | 232 | 324 | 391 | 715 | 159 | 286 | 24 | 11 | 319 | 58 | — | — | — | — | — | — |
| 2018 | 25 | INTL | Gigantes del Cibao | — | 63 | 56 | 10 | 2 | 0 | 1 | 4 | 22 | 3 | 0 | 0 | 179 | 270 | 268 | 538 | 89 | 273 | 35 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2019 | 26 | MLB | Kansas City Royals | — | 370 | 328 | 64 | 13 | 1 | 14 | 39 | 99 | 1 | 0 | 1 | 195 | 283 | 369 | 652 | 174 | 230 | 27 | 11 | 292 | 87 | -6 | -0 | -6 | -9 | +8 | -1.3 |
| 2019 | 26 | AAA | Omaha Storm Chasers | — | 149 | 129 | 38 | 10 | 1 | 9 | 17 | 31 | 2 | 0 | 0 | 295 | 385 | 597 | 982 | 302 | 322 | 21 | 11 | 422 | 103 | — | — | — | — | — | — |
| 2020 | 27 | MLB | Kansas City Royals | — | 132 | 113 | 22 | 6 | 0 | 2 | 18 | 37 | 0 | 0 | 0 | 195 | 305 | 301 | 606 | 106 | 267 | 28 | 14 | 281 | 71 | -4 | +0 | -1 | -2 | +3 | -0.6 |
| 2021 | 28 | MLB | Kansas City Royals | — | 254 | 236 | 53 | 5 | 1 | 9 | 13 | 71 | 2 | 0 | 0 | 225 | 271 | 369 | 640 | 144 | 277 | 28 | 5 | 282 | 82 | -6 | +0 | -0 | -4 | +6 | -0.4 |
| 2021 | 28 | AAA | Omaha Storm Chasers | — | 82 | 72 | 27 | 4 | 0 | 12 | 9 | 15 | 1 | 3 | 0 | 375 | 451 | 931 | 1.382 | 556 | 333 | 18 | 11 | 574 | 161 | — | — | — | — | — | — |
| 2022 | 29 | MLB | Kansas City Royals | — | 145 | 134 | 32 | 6 | 1 | 1 | 8 | 35 | 2 | 0 | 0 | 239 | 292 | 321 | 613 | 82 | 313 | 24 | 6 | 277 | 75 | -4 | +0 | -1 | -2 | +3 | -0.4 |
| 2023 | 30 | MLB | Baltimore Orioles | — | 368 | 346 | 100 | 22 | 1 | 14 | 15 | 82 | 3 | 5 | 1 | 289 | 324 | 480 | 804 | 191 | 340 | 22 | 4 | 350 | 116 | +7 | +1 | -0 | -8 | +8 | 0.8 |
| 2023 | 30 | AAA | Norfolk Tides | — | 52 | 48 | 17 | 4 | 1 | 4 | 4 | 14 | 0 | 0 | 0 | 354 | 404 | 729 | 1.133 | 375 | 433 | 27 | 8 | 483 | 124 | — | — | — | — | — | — |
| 2024 | 31 | MLB | Baltimore Orioles | — | 494 | 443 | 117 | 21 | 3 | 15 | 46 | 69 | 2 | 3 | 1 | 264 | 336 | 427 | 763 | 163 | 282 | 14 | 9 | 338 | 110 | +6 | +0 | -4 | -9 | +11 | 0.5 |
| 2025 | 32 | MLB | San Diego Padres | — | 544 | 474 | 133 | 21 | 1 | 17 | 58 | 109 | 8 | 3 | 1 | 281 | 369 | 437 | 805 | 156 | 330 | 20 | 11 | 359 | 128 | +18 | +0 | +1 | -10 | +12 | 2.2 |
| 2026 | 33 | MLB | Pittsburgh Pirates | — | 451 | 407 | 108 | 17 | 0 | 18 | 35 | 99 | 6 | 1 | 0 | 265 | 333 | 440 | 772 | 174 | 307 | 22 | 8 | 342 | 120 | +11 | +0 | +0 | -5 | +10 | 1.7 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 2928 | 2630 | 668 | 121 | 10 | 102 | 252 | 646 | 25 | 12 | 4 | 254 | 325 | 424 | 749 | 170 | 298 | 22 | 9 | 332 | 111 | +37 | +1 | -13 | -59 | +63 | 3.0 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 21 | ROK MLE | Idaho Falls Chukars | — | 293 | 265 | 71 | 12 | 1 | 9 | 23 | 85 | 1 | 3 | 2 | 268 | 329 | 423 | 751 | 155 | 343 | 29 | 8 | 325 | 106 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | Wilmington Blue Rocks | — | 181 | 170 | 31 | 8 | 0 | 8 | 10 | 77 | 0 | 0 | 0 | 182 | 228 | 371 | 598 | 188 | 265 | 43 | 6 | 260 | 62 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | Lexington Legends | — | 356 | 330 | 74 | 9 | 0 | 13 | 20 | 120 | 2 | 7 | 2 | 224 | 273 | 370 | 642 | 145 | 293 | 34 | 6 | 280 | 76 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | Northwest Arkansas Naturals | — | 466 | 432 | 92 | 21 | 2 | 12 | 30 | 156 | 3 | 3 | 5 | 213 | 269 | 354 | 623 | 141 | 299 | 33 | 6 | 274 | 72 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Wilmington Blue Rocks | — | 98 | 92 | 27 | 6 | 0 | 6 | 4 | 36 | 1 | 0 | 0 | 293 | 330 | 554 | 884 | 261 | 413 | 37 | 4 | 382 | 145 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | Omaha Storm Chasers | — | 463 | 427 | 94 | 23 | 1 | 15 | 31 | 145 | 1 | 1 | 0 | 220 | 275 | 384 | 659 | 164 | 288 | 31 | 7 | 282 | 77 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Northwest Arkansas Naturals | — | 76 | 70 | 14 | 1 | 1 | 3 | 6 | 25 | 0 | 0 | 0 | 200 | 263 | 371 | 635 | 171 | 269 | 33 | 8 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 25 | MLB MLE | Kansas City Royals | — | 170 | 149 | 40 | 10 | 2 | 13 | 20 | 45 | 1 | 0 | 0 | 268 | 359 | 624 | 983 | 356 | 293 | 26 | 12 | 419 | 170 | +14 | +0 | -2 | -11 | +4 | 0.4 |
| 2018 | 25 | AAA MLE | Omaha Storm Chasers | — | 406 | 367 | 71 | 18 | 1 | 8 | 31 | 124 | 3 | 2 | 0 | 193 | 262 | 313 | 575 | 120 | 258 | 31 | 8 | 254 | 58 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | Kansas City Royals | — | 370 | 329 | 65 | 13 | 1 | 15 | 38 | 99 | 1 | 0 | 1 | 198 | 283 | 380 | 663 | 182 | 230 | 27 | 10 | 297 | 87 | -6 | -0 | -6 | -9 | +8 | -1.3 |
| 2019 | 26 | AAA MLE | Omaha Storm Chasers | — | 149 | 135 | 31 | 8 | 1 | 7 | 11 | 41 | 2 | 0 | 0 | 230 | 297 | 459 | 757 | 230 | 271 | 28 | 7 | 321 | 103 | — | — | — | — | — | — |
| 2020 | 27 | MLB MLE | Kansas City Royals | — | 132 | 115 | 22 | 6 | 0 | 2 | 16 | 37 | 0 | 0 | 0 | 191 | 290 | 296 | 586 | 104 | 267 | 28 | 12 | 274 | 71 | -4 | +0 | -1 | -2 | +3 | -0.6 |
| 2021 | 28 | MLB MLE | Kansas City Royals | — | 254 | 236 | 54 | 5 | 1 | 10 | 13 | 71 | 2 | 0 | 0 | 229 | 275 | 386 | 660 | 157 | 277 | 28 | 5 | 289 | 82 | -6 | +0 | -0 | -4 | +6 | -0.4 |
| 2021 | 28 | AAA MLE | Omaha Storm Chasers | — | 82 | 76 | 20 | 3 | 0 | 8 | 5 | 18 | 1 | 3 | 0 | 263 | 317 | 618 | 935 | 355 | 252 | 22 | 6 | 406 | 161 | — | — | — | — | — | — |
| 2022 | 29 | MLB MLE | Kansas City Royals | — | 145 | 134 | 32 | 6 | 1 | 1 | 8 | 35 | 2 | 0 | 0 | 239 | 292 | 321 | 613 | 82 | 313 | 24 | 6 | 279 | 75 | -4 | +0 | -1 | -2 | +3 | -0.4 |
| 2023 | 30 | MLB MLE | Baltimore Orioles | — | 368 | 348 | 98 | 21 | 1 | 14 | 13 | 82 | 3 | 5 | 1 | 282 | 313 | 468 | 782 | 187 | 340 | 22 | 4 | 340 | 116 | +7 | +1 | -0 | -8 | +8 | 0.8 |
| 2023 | 30 | AAA MLE | Norfolk Tides | — | 52 | 49 | 14 | 3 | 1 | 3 | 3 | 17 | 0 | 0 | 0 | 286 | 327 | 571 | 898 | 286 | 362 | 33 | 6 | 351 | 124 | — | — | — | — | — | — |
| 2024 | 31 | MLB MLE | Baltimore Orioles | — | 494 | 445 | 115 | 20 | 3 | 15 | 44 | 69 | 2 | 3 | 1 | 258 | 328 | 418 | 746 | 160 | 282 | 14 | 9 | 331 | 110 | +6 | +0 | -4 | -9 | +11 | 0.5 |
| 2025 | 32 | MLB MLE | San Diego Padres | — | 544 | 478 | 135 | 22 | 1 | 17 | 54 | 109 | 8 | 3 | 1 | 282 | 365 | 439 | 804 | 157 | 330 | 20 | 10 | 357 | 128 | +18 | +0 | +1 | -10 | +12 | 2.2 |
| 2026 | 33 | MLB MLE | Pittsburgh Pirates | — | 451 | 408 | 108 | 16 | 0 | 19 | 34 | 99 | 6 | 1 | 0 | 265 | 330 | 444 | 774 | 179 | 307 | 22 | 8 | 346 | 120 | +11 | +0 | +0 | -5 | +10 | 1.7 |
| 2014 | 21 | ROK MLE | Idaho Falls Chukars | — | 293 | 265 | 71 | 12 | 1 | 9 | 23 | 85 | 1 | 3 | 2 | 268 | 329 | 423 | 751 | 155 | 354 | 29 | 8 | 325 | 106 | — | — | — | — | — | — |
| 2014 | 21 | ROK RAW | Idaho Falls Chukars | — | 293 | 249 | 90 | 16 | 1 | 13 | 39 | 59 | 1 | 3 | 2 | 361 | 450 | 590 | 1.040 | 229 | 425 | 20 | 13 | 449 | 106 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | 2 teams | — | 537 | 500 | 105 | 16 | 0 | 22 | 30 | 197 | 2 | 7 | 2 | 210 | 258 | 374 | 632 | 164 | 290 | 37 | 6 | 273 | 71 | — | — | — | — | — | — |
| 2015 | 22 | A RAW | 2 teams | — | 537 | 475 | 125 | 21 | 0 | 27 | 55 | 141 | 2 | 7 | 2 | 263 | 342 | 478 | 820 | 215 | 314 | 26 | 10 | 359 | 71 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | 3 teams | — | 663 | 617 | 140 | 31 | 2 | 22 | 40 | 226 | 4 | 3 | 5 | 227 | 278 | 391 | 669 | 164 | 318 | 34 | 6 | 293 | 84 | — | — | — | — | — | — |
| 2016 | 23 | AA RAW | 3 teams | — | 663 | 588 | 163 | 36 | 2 | 23 | 69 | 184 | 4 | 3 | 5 | 277 | 357 | 463 | 820 | 185 | 366 | 28 | 10 | 363 | 84 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | 2 teams | — | 539 | 497 | 107 | 23 | 2 | 18 | 37 | 171 | 1 | 1 | 0 | 215 | 271 | 378 | 649 | 163 | 287 | 32 | 7 | 281 | 77 | — | — | — | — | — | — |
| 2017 | 24 | AAA RAW | 2 teams | — | 539 | 479 | 121 | 27 | 2 | 22 | 55 | 139 | 1 | 1 | 0 | 253 | 331 | 455 | 786 | 203 | 309 | 26 | 10 | 345 | 77 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | 3 teams | — | 639 | 571 | 122 | 31 | 3 | 23 | 56 | 188 | 7 | 2 | 0 | 214 | 292 | 399 | 691 | 186 | 273 | 29 | 9 | 303 | 91 | — | — | — | — | — | — |
| 2018 | 25 | AAA RAW | 3 teams | — | 639 | 558 | 131 | 33 | 3 | 24 | 69 | 164 | 7 | 2 | 0 | 235 | 326 | 434 | 760 | 199 | 287 | 26 | 11 | 336 | 91 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | 2 teams | — | 519 | 464 | 97 | 21 | 2 | 22 | 49 | 140 | 3 | 0 | 1 | 209 | 289 | 405 | 694 | 196 | 246 | 27 | 9 | 304 | 92 | -5 | -0 | -6 | -9 | +11 | -1.0 |
| 2019 | 26 | MLB RAW | 2 teams | — | 519 | 457 | 102 | 23 | 2 | 23 | 56 | 130 | 3 | 0 | 1 | 223 | 312 | 433 | 745 | 210 | 257 | 25 | 11 | 329 | 92 | -5 | -0 | -6 | -9 | +11 | -1.0 |
| 2020 | 27 | MLB MLE | Kansas City Royals | — | 132 | 115 | 22 | 6 | 0 | 2 | 16 | 37 | 0 | 0 | 0 | 191 | 290 | 296 | 586 | 104 | 260 | 28 | 12 | 274 | 71 | -4 | +0 | -1 | -2 | +3 | -0.6 |
| 2020 | 27 | MLB RAW | Kansas City Royals | — | 132 | 113 | 22 | 6 | 0 | 2 | 18 | 37 | 0 | 0 | 0 | 195 | 305 | 301 | 606 | 106 | 267 | 28 | 14 | 281 | 71 | -4 | +0 | -1 | -2 | +3 | -0.6 |
| 2021 | 28 | MLB MLE | 2 teams | — | 336 | 312 | 74 | 8 | 1 | 18 | 18 | 89 | 3 | 3 | 0 | 237 | 285 | 442 | 728 | 205 | 269 | 26 | 5 | 318 | 101 | +0 | +1 | -0 | -4 | +7 | 0.4 |
| 2021 | 28 | MLB RAW | 2 teams | — | 336 | 308 | 80 | 9 | 1 | 21 | 22 | 86 | 3 | 3 | 0 | 260 | 315 | 500 | 815 | 240 | 289 | 26 | 7 | 353 | 101 | +0 | +1 | -0 | -4 | +7 | 0.4 |
| 2022 | 29 | MLB MLE | Kansas City Royals | — | 145 | 134 | 32 | 6 | 1 | 1 | 8 | 35 | 2 | 0 | 0 | 239 | 292 | 321 | 613 | 82 | 313 | 24 | 6 | 279 | 75 | -4 | +0 | -1 | -2 | +3 | -0.4 |
| 2022 | 29 | MLB RAW | Kansas City Royals | — | 145 | 134 | 32 | 6 | 1 | 1 | 8 | 35 | 2 | 0 | 0 | 239 | 292 | 321 | 613 | 82 | 313 | 24 | 6 | 277 | 75 | -4 | +0 | -1 | -2 | +3 | -0.4 |
| 2023 | 30 | MLB MLE | 2 teams | — | 420 | 397 | 112 | 24 | 2 | 17 | 16 | 99 | 3 | 5 | 1 | 282 | 315 | 481 | 796 | 199 | 335 | 24 | 4 | 342 | 117 | +9 | +1 | -0 | -8 | +9 | 1.1 |
| 2023 | 30 | MLB RAW | 2 teams | — | 420 | 394 | 117 | 26 | 2 | 18 | 19 | 96 | 3 | 5 | 1 | 297 | 334 | 510 | 844 | 213 | 350 | 23 | 5 | 366 | 117 | +9 | +1 | -0 | -8 | +9 | 1.1 |
| 2024 | 31 | MLB MLE | Baltimore Orioles | — | 494 | 445 | 115 | 20 | 3 | 15 | 44 | 69 | 2 | 3 | 1 | 258 | 328 | 418 | 746 | 160 | 275 | 14 | 9 | 331 | 110 | +6 | +0 | -4 | -9 | +11 | 0.5 |
| 2024 | 31 | MLB RAW | Baltimore Orioles | — | 494 | 443 | 117 | 21 | 3 | 15 | 46 | 69 | 2 | 3 | 1 | 264 | 336 | 427 | 763 | 163 | 282 | 14 | 9 | 338 | 110 | +6 | +0 | -4 | -9 | +11 | 0.5 |
| 2025 | 32 | MLB MLE | San Diego Padres | — | 544 | 478 | 135 | 22 | 1 | 17 | 54 | 109 | 8 | 3 | 1 | 282 | 365 | 439 | 804 | 157 | 331 | 20 | 10 | 357 | 128 | +18 | +0 | +1 | -10 | +12 | 2.2 |
| 2025 | 32 | MLB RAW | San Diego Padres | — | 544 | 474 | 133 | 21 | 1 | 17 | 58 | 109 | 8 | 3 | 1 | 281 | 369 | 437 | 805 | 156 | 330 | 20 | 11 | 359 | 128 | +18 | +0 | +1 | -10 | +12 | 2.2 |
| 2026 | 33 | MLB MLE | Pittsburgh Pirates | — | 451 | 408 | 108 | 16 | 0 | 19 | 34 | 99 | 6 | 1 | 0 | 265 | 330 | 444 | 774 | 179 | 304 | 22 | 8 | 346 | 120 | +11 | +0 | +0 | -5 | +10 | 1.7 |
| 2026 | 33 | MLB RAW | Pittsburgh Pirates | — | 451 | 407 | 108 | 17 | 0 | 18 | 35 | 99 | 6 | 1 | 0 | 265 | 333 | 440 | 772 | 174 | 307 | 22 | 8 | 342 | 120 | +11 | +0 | +0 | -5 | +10 | 1.7 |
| 2014 | 21 | ROK MLE | Idaho Falls Chukars | — | 293 | 267 | 71 | 12 | 1 | 9 | 23 | 85 | 1 | 3 | 2 | 266 | 329 | 419 | 748 | 154 | 343 | 29 | 8 | 325 | 106 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | 2 teams | — | 537 | 500 | 105 | 16 | 0 | 22 | 30 | 197 | 2 | 7 | 2 | 210 | 258 | 374 | 632 | 164 | 284 | 37 | 6 | 273 | 71 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | 3 teams | — | 663 | 614 | 140 | 31 | 2 | 22 | 40 | 226 | 4 | 3 | 5 | 228 | 278 | 393 | 671 | 164 | 319 | 34 | 6 | 293 | 84 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | 2 teams | — | 539 | 496 | 107 | 23 | 2 | 18 | 37 | 171 | 1 | 1 | 0 | 216 | 271 | 379 | 650 | 163 | 285 | 32 | 7 | 281 | 77 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | 3 teams | — | 639 | 571 | 122 | 31 | 3 | 23 | 56 | 188 | 7 | 2 | 0 | 214 | 292 | 399 | 691 | 186 | 268 | 29 | 9 | 303 | 91 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | 2 teams | — | 519 | 462 | 97 | 21 | 2 | 22 | 49 | 140 | 3 | 0 | 1 | 210 | 289 | 407 | 696 | 197 | 242 | 27 | 9 | 304 | 92 | — | — | — | — | — | — |
| 2020 | 27 | MLB MLE | Kansas City Royals | — | 132 | 115 | 22 | 6 | 0 | 2 | 16 | 37 | 0 | 0 | 0 | 191 | 290 | 296 | 586 | 104 | 267 | 28 | 12 | 274 | 71 | — | — | — | — | — | — |
| 2021 | 28 | MLB MLE | 2 teams | — | 336 | 312 | 74 | 8 | 1 | 18 | 18 | 89 | 3 | 3 | 0 | 237 | 285 | 442 | 728 | 205 | 271 | 26 | 5 | 318 | 101 | — | — | — | — | — | — |
| 2022 | 29 | MLB MLE | Kansas City Royals | — | 145 | 134 | 32 | 6 | 1 | 1 | 8 | 35 | 2 | 0 | 0 | 239 | 292 | 321 | 613 | 82 | 313 | 24 | 6 | 279 | 75 | — | — | — | — | — | — |
| 2023 | 30 | MLB MLE | 2 teams | — | 420 | 398 | 112 | 24 | 2 | 17 | 16 | 99 | 3 | 5 | 1 | 281 | 315 | 480 | 795 | 198 | 343 | 24 | 4 | 342 | 117 | — | — | — | — | — | — |
| 2024 | 31 | MLB MLE | Baltimore Orioles | — | 494 | 445 | 115 | 20 | 3 | 15 | 44 | 69 | 2 | 3 | 1 | 258 | 328 | 418 | 746 | 160 | 282 | 14 | 9 | 331 | 110 | — | — | — | — | — | — |
| 2025 | 32 | MLB MLE | San Diego Padres | — | 544 | 477 | 135 | 22 | 1 | 17 | 54 | 109 | 8 | 3 | 1 | 283 | 365 | 440 | 805 | 157 | 330 | 20 | 10 | 357 | 128 | — | — | — | — | — | — |
| 2026 | 33 | MLB MLE | Pittsburgh Pirates | — | 451 | 408 | 108 | 16 | 0 | 19 | 34 | 99 | 6 | 1 | 0 | 265 | 330 | 444 | 774 | 179 | 307 | 22 | 8 | 346 | 120 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 31 | MLB MLE | Baltimore Orioles | — | 494 | 445 | 115 | 20 | 3 | 15 | 44 | 69 | 2 | 3 | 1 | 258 | 328 | 418 | 746 | 160 | 282 | 14 | 9 | 331 | 110 | — | — | — | — | — | — |
| 2025 | 32 | MLB MLE | San Diego Padres | — | 544 | 477 | 135 | 22 | 1 | 17 | 54 | 109 | 8 | 3 | 1 | 283 | 365 | 440 | 805 | 157 | 330 | 20 | 10 | 357 | 128 | — | — | — | — | — | — |
| 2026 | 33 | MLB MLE | Pittsburgh Pirates | — | 451 | 408 | 108 | 16 | 0 | 19 | 34 | 99 | 6 | 1 | 0 | 265 | 330 | 444 | 774 | 179 | 307 | 22 | 8 | 346 | 120 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 34 | MLB MLE | PIT | 100% | 445 | 398 | 105 | 17 | 1 | 16 | 39 | 89 | 5 | 3 | 1 | 263 | 337 | 433 | 770 | 170 | 299 | 20 | 9 | 341 | 117 | +9 | +0 | -0 | -5 | +10 | 1.3 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 34 | MLB CTX | PIT | 100% | 353 | 315 | 83 | 14 | 1 | 12 | 31 | 70 | 4 | 3 | 1 | 261 | 335 | 423 | 759 | 162 | 299 | 20 | 9 | 337 | 117 | +7 | +0 | -0 | -4 | +8 | 1.1 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 35 | MLB MLE | PIT | 100% | 273 | 245 | 61 | 9 | 1 | 9 | 23 | 57 | 3 | 0 | 0 | 251 | 324 | 406 | 730 | 156 | 288 | 21 | 8 | 325 | 106 | +2 | +0 | -6 | -3 | +6 | -0.1 |
| 2028 | 35 | MLB CTX | PIT | 100% | 273 | 245 | 62 | 10 | 1 | 9 | 23 | 57 | 3 | 0 | 0 | 249 | 322 | 397 | 719 | 149 | 288 | 21 | 8 | 321 | 106 | +2 | +0 | -6 | -3 | +6 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 3201 | 2875 | 730 | 131 | 11 | 111 | 275 | 703 | 28 | 12 | 4 | 254 | 325 | 423 | 748 | 169 | 297 | 22 | 9 | 331 | 98 | +39 | +1 | -19 | -62 | +69 | 2.9 | |
| / 162G | — | A+C | — | 650 | 584 | 149 | 27 | 2 | 23 | 56 | 143 | 6 | 2 | 1 | 255 | 327 | 426 | 753 | 171 | 299 | 22 | 9 | 331 | 98 | +8 | +0 | -4 | -13 | +14 | 0.6 | |
| Career | — | MLE | — | 6338 | 5763 | 1384 | 258 | 20 | 227 | 479 | 1671 | 49 | 34 | 14 | 240 | 304 | 410 | 714 | 170 | 296 | 26 | 8 | 314 | 98 | +46 | +1 | -19 | -66 | +77 | 4.1 | |
| / 162G | — | MLE | — | 650 | 591 | 141 | 26 | 2 | 23 | 49 | 171 | 5 | 3 | 1 | 239 | 302 | 406 | 708 | 168 | 294 | 26 | 8 | 314 | 98 | +9 | +0 | -3 | -12 | +14 | 0.7 | |
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 AAANorfolk Tides · 52 PAwOBA .469 → .351 (−117)K% 26.9% → 33.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.92% | ÷0.980 | ×1.200 | — | — | 32.97% |
| BB% (unintentional) /PA | 7.69% | ÷0.948 | ×0.690 | — | ×0.972 | 5.44% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.972 | 0.00% |
| Singles /BIP | 23.53% | ÷1.019 | ×0.930 | — | ×0.972 | 20.88% |
| Doubles /BIP | 11.76% | ÷1.015 | ×0.830 | — | ×0.972 | 9.35% |
| Triples /BIP | 2.94% | ÷0.900 | ×0.970 | — | ×0.972 | 3.08% |
| Home runs /BIP | 11.76% | ÷0.995 | ×0.700 | — | ×0.972 | 8.04% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 104, 2B 103, 3B 80, K 96, BB 90 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).
Result: wOBA .469 → .351; ISO .375 → .265; BABIP .433 → .362. 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 AAAOmaha Storm Chasers · 82 PAwOBA .555 → .406 (−149)K% 18.3% → 22.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.29% | ÷0.985 | ×1.200 | — | — | 22.29% |
| BB% (unintentional) /PA | 9.76% | ÷0.990 | ×0.690 | — | ×0.992 | 6.74% |
| HBP% /PA | 1.22% | — | ×0.940 | — | ×0.992 | 1.14% |
| Singles /BIP | 19.30% | ÷1.056 | ×0.930 | ×0.950 | ×0.992 | 16.01% |
| Doubles /BIP | 7.02% | ÷0.978 | ×0.830 | ×0.950 | ×0.992 | 5.61% |
| Triples /BIP | 0.00% | ÷0.936 | ×0.920 | ×0.950 | ×0.992 | 0.00% |
| Home runs /BIP | 21.05% | ÷1.027 | ×0.700 | — | ×0.992 | 14.24% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 111, 2B 96, 3B 87, K 97, BB 98 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .555 → .406; ISO .556 → .384; BABIP .333 → .252. 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 AAAOmaha Storm Chasers · 149 PAwOBA .411 → .321 (−89)K% 20.8% → 27.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.81% | ÷0.971 | ×1.290 | — | — | 27.65% |
| BB% (unintentional) /PA | 10.74% | ÷1.065 | ×0.710 | — | ×1.018 | 7.29% |
| HBP% /PA | 1.34% | — | ×0.980 | — | ×1.018 | 1.34% |
| Singles /BIP | 18.37% | ÷1.024 | ×0.900 | ×0.984 | ×1.018 | 16.17% |
| Doubles /BIP | 10.20% | ÷0.973 | ×0.810 | ×0.984 | ×1.018 | 8.51% |
| Triples /BIP | 1.02% | ÷1.038 | ×0.810 | ×0.984 | ×1.018 | 0.80% |
| Home runs /BIP | 9.18% | ÷1.023 | ×0.780 | — | ×1.018 | 7.13% |
Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 105, 2B 95, 3B 108, K 94, BB 113 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.
Result: wOBA .411 → .321; ISO .302 → .232; BABIP .322 → .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).
2018 AAAOmaha Storm Chasers · 406 PAwOBA .311 → .254 (−57)K% 23.9% → 30.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.89% | ÷1.007 | ×1.290 | — | — | 30.59% |
| BB% (unintentional) /PA | 10.59% | ÷1.018 | ×0.710 | — | ×1.033 | 7.63% |
| HBP% /PA | 0.74% | — | ×0.980 | — | ×1.033 | 0.75% |
| Singles /BIP | 19.14% | ÷1.020 | ×0.900 | ×1.008 | ×1.033 | 17.59% |
| Doubles /BIP | 8.20% | ÷0.936 | ×0.810 | ×1.008 | ×1.033 | 7.39% |
| Triples /BIP | 0.39% | ÷0.900 | ×0.810 | ×1.008 | ×1.033 | 0.37% |
| Home runs /BIP | 4.30% | ÷1.101 | ×0.780 | — | ×1.033 | 3.14% |
Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 104, 2B 87, 3B 80, K 102, BB 104 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.
Result: wOBA .311 → .254; ISO .159 → .123; BABIP .286 → .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).
2017 AAAOmaha Storm Chasers · 463 PAwOBA .333 → .282 (−51)K% 25.7% → 31.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.70% | ÷1.054 | ×1.290 | — | — | 31.45% |
| BB% (unintentional) /PA | 9.72% | ÷1.076 | ×0.710 | — | ×1.048 | 6.72% |
| HBP% /PA | 0.22% | — | ×0.980 | — | ×1.048 | 0.22% |
| Singles /BIP | 20.07% | ÷1.024 | ×0.900 | ×1.042 | ×1.048 | 19.27% |
| Doubles /BIP | 8.84% | ÷0.985 | ×0.810 | ×1.042 | ×1.048 | 7.95% |
| Triples /BIP | 0.34% | ÷0.914 | ×0.810 | ×1.042 | ×1.048 | 0.33% |
| Home runs /BIP | 6.12% | ÷0.956 | ×0.780 | — | ×1.048 | 5.23% |
Factors used: league row PCL. Park (home-season share, regressed): HR 91, 1B 105, 2B 97, 3B 83, K 111, BB 115 — 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 ×1.042.
Result: wOBA .333 → .282; ISO .199 → .168; BABIP .309 → .288. 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 AANorthwest Arkansas Naturals · 76 PAwOBA .356 → .278 (−78)K% 26.3% → 33.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.32% | ÷0.967 | ×1.220 | — | — | 33.19% |
| BB% (unintentional) /PA | 11.84% | ÷0.982 | ×0.700 | — | ×1.012 | 8.54% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×1.012 | 0.00% |
| Singles /BIP | 23.91% | ÷1.051 | ×0.920 | — | ×1.012 | 21.19% |
| Doubles /BIP | 2.17% | ÷1.091 | ×0.840 | — | ×1.012 | 1.69% |
| Triples /BIP | 2.17% | ÷0.900 | ×0.940 | — | ×1.012 | 2.30% |
| Home runs /BIP | 8.70% | ÷1.114 | ×0.800 | — | ×1.012 | 6.32% |
Factors used: league row TL. Park (home-season share, regressed): HR 123, 1B 110, 2B 118, 3B 80, K 93, BB 96 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).
Result: wOBA .356 → .278; ISO .227 → .169; BABIP .310 → .269. 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 AANorthwest Arkansas Naturals · 466 PAwOBA .335 → .274 (−61)K% 28.1% → 33.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.11% | ÷1.024 | ×1.220 | — | — | 33.49% |
| BB% (unintentional) /PA | 9.66% | ÷1.081 | ×0.700 | — | ×1.027 | 6.42% |
| HBP% /PA | 0.64% | — | ×0.870 | — | ×1.027 | 0.58% |
| Singles /BIP | 22.97% | ÷1.061 | ×0.920 | ×1.005 | ×1.027 | 20.57% |
| Doubles /BIP | 8.83% | ÷1.029 | ×0.840 | ×1.005 | ×1.027 | 7.45% |
| Triples /BIP | 0.71% | ÷1.029 | ×0.940 | ×1.005 | ×1.027 | 0.67% |
| Home runs /BIP | 5.30% | ÷0.967 | ×0.800 | — | ×1.027 | 4.50% |
Factors used: league row TL. Park (home-season share, regressed): HR 93, 1B 112, 2B 106, 3B 106, K 105, BB 116 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.
Result: wOBA .335 → .274; ISO .179 → .149; BABIP .342 → .299. 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 A+Wilmington Blue Rocks · 98 PAwOBA .451 → .382 (−69)K% 27.6% → 37.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.55% | ÷1.051 | ×1.420 | — | — | 37.23% |
| BB% (unintentional) /PA | 7.14% | ÷1.014 | ×0.630 | — | ×0.998 | 4.43% |
| HBP% /PA | 1.02% | — | ×0.860 | — | ×0.998 | 0.88% |
| Singles /BIP | 27.87% | ÷1.024 | ×0.940 | ×1.048 | ×0.998 | 26.77% |
| Doubles /BIP | 11.48% | ÷0.920 | ×0.830 | ×1.048 | ×0.998 | 10.84% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.800 | ×1.048 | ×0.998 | 0.00% |
| Home runs /BIP | 11.48% | ÷0.954 | ×0.900 | — | ×0.998 | 10.81% |
Factors used: league row CAR. Park (home-season share, regressed): HR 91, 1B 105, 2B 84, 3B 130, K 110, BB 103 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.
Result: wOBA .451 → .382; ISO .318 → .277; BABIP .436 → .413. 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 — .