Josh Naylor
1B Seattle Mariners| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 27 | MLBCLE | 633 | .243/.321/.456 | 31 | 6 | 112 | 0.7 |
| 2025 | 28 | MLBSEA | 604 | .295/.354/.462 | 20 | 30 | 128 | 2.4 |
| 2026 | 29 | MLBSEA | 650 | .261/.318/.350 | 10 | 30 | 90 | -0.3 |
| 2027PROJ | 30 | MLBSEA | 527 | .259/.316/.387 | 13 | 18 | 100 | 0.8 |
| 2028PROJ | 31 | MLBSEA | 596 | .254/.310/.375 | 14 | 14 | 95 | 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) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK | GCL Marlins | — | 105 | 98 | 32 | 4 | 1 | 1 | 4 | 11 | 1 | 1 | 0 | 327 | 359 | 418 | 778 | 92 | 352 | 10 | 4 | 342 | 69 | — | — | — | — | — | — |
| 2016 | 19 | A+ | Lake Elsinore Storm | — | 144 | 139 | 35 | 5 | 0 | 3 | 3 | 22 | 0 | 1 | 1 | 252 | 268 | 353 | 620 | 101 | 276 | 15 | 2 | 272 | 51 | — | — | — | — | — | — |
| 2016 | 19 | A | Greensboro Grasshoppers | — | 370 | 342 | 92 | 24 | 2 | 9 | 22 | 62 | 3 | 10 | 3 | 269 | 319 | 430 | 749 | 161 | 304 | 17 | 6 | 329 | 66 | — | — | — | — | — | — |
| 2017 | 20 | AA | San Antonio Missions | — | 175 | 156 | 39 | 9 | 0 | 2 | 16 | 36 | 1 | 2 | 1 | 250 | 324 | 346 | 670 | 96 | 308 | 21 | 9 | 303 | 68 | — | — | — | — | — | — |
| 2017 | 20 | A+ | Lake Elsinore Storm | — | 313 | 283 | 84 | 16 | 2 | 8 | 27 | 48 | 2 | 7 | 1 | 297 | 362 | 452 | 814 | 155 | 333 | 15 | 9 | 362 | 95 | — | — | — | — | — | — |
| 2017 | 20 | INTL | Peoria Javelinas | — | 83 | 79 | 24 | 6 | 0 | 3 | 3 | 14 | 1 | 2 | 0 | 304 | 337 | 494 | 831 | 190 | 339 | 17 | 4 | 366 | 134 | — | — | — | — | — | — |
| 2018 | 21 | AA | San Antonio Missions | — | 574 | 501 | 149 | 22 | 1 | 17 | 64 | 69 | 7 | 5 | 5 | 297 | 385 | 447 | 832 | 150 | 317 | 12 | 11 | 372 | 105 | — | — | — | — | — | — |
| 2019 | 22 | MLB | San Diego Padres | — | 279 | 253 | 63 | 15 | 0 | 8 | 25 | 64 | 0 | 1 | 1 | 249 | 317 | 403 | 720 | 154 | 302 | 23 | 9 | 321 | 105 | +2 | -0 | -7 | -7 | +6 | -0.6 |
| 2019 | 22 | AAA | El Paso Chihuahuas | — | 252 | 223 | 70 | 20 | 1 | 10 | 28 | 30 | 0 | 1 | 0 | 314 | 390 | 547 | 938 | 233 | 326 | 12 | 11 | 408 | 109 | — | — | — | — | — | — |
| 2019 | 22 | INTL | Leones del Escogido | — | 83 | 76 | 19 | 1 | 0 | 1 | 5 | 11 | 1 | 5 | 1 | 250 | 301 | 303 | 604 | 53 | 281 | 13 | 6 | 277 | 73 | — | — | — | — | — | — |
| 2020 | 23 | MLB | Cleveland Indians | — | 104 | 97 | 24 | 3 | 1 | 1 | 5 | 12 | 1 | 1 | 0 | 247 | 288 | 330 | 618 | 82 | 274 | 12 | 5 | 279 | 76 | -3 | +0 | +0 | -1 | +2 | -0.1 |
| 2021 | 24 | MLB | Cleveland Indians | — | 250 | 233 | 59 | 13 | 0 | 7 | 14 | 45 | 2 | 1 | 0 | 253 | 300 | 399 | 699 | 146 | 287 | 18 | 6 | 311 | 94 | -2 | +0 | -1 | -3 | +5 | 0.0 |
| 2022 | 25 | MLB | Cleveland Guardians | — | 498 | 449 | 115 | 28 | 0 | 20 | 38 | 80 | 6 | 6 | 1 | 256 | 323 | 452 | 775 | 196 | 268 | 16 | 8 | 340 | 111 | +7 | +1 | -2 | -9 | +11 | 0.7 |
| 2022 | 25 | AAA | Columbus Clippers | — | 25 | 20 | 4 | 2 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 200 | 360 | 300 | 660 | 100 | 200 | 0 | 20 | 315 | 68 | — | — | — | — | — | — |
| 2023 | 26 | MLB | Cleveland Guardians | — | 495 | 452 | 139 | 31 | 0 | 17 | 33 | 68 | 3 | 10 | 3 | 308 | 359 | 489 | 848 | 181 | 326 | 14 | 7 | 369 | 126 | +16 | +1 | +1 | -9 | +11 | 1.9 |
| 2024 | 27 | MLB | Cleveland Guardians | — | 633 | 563 | 137 | 27 | 0 | 31 | 58 | 105 | 7 | 6 | 2 | 243 | 321 | 456 | 778 | 213 | 246 | 17 | 9 | 342 | 112 | +9 | +0 | -5 | -11 | +14 | 0.7 |
| 2025 | 28 | MLB | Seattle Mariners | — | 604 | 543 | 160 | 29 | 1 | 20 | 48 | 83 | 4 | 30 | 2 | 295 | 354 | 462 | 816 | 168 | 315 | 14 | 8 | 358 | 128 | +20 | +5 | -4 | -11 | +13 | 2.4 |
| 2026 | 29 | MLB | Seattle Mariners | — | 650 | 597 | 156 | 23 | 0 | 10 | 45 | 79 | 5 | 30 | 9 | 261 | 318 | 350 | 668 | 89 | 286 | 12 | 7 | 303 | 90 | -7 | +2 | -1 | -12 | +14 | -0.3 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 3513 | 3187 | 853 | 169 | 2 | 114 | 266 | 536 | 28 | 85 | 18 | 268 | 329 | 429 | 758 | 162 | 289 | 15 | 8 | 335 | 113 | +54 | +10 | -18 | -62 | +76 | 6.1 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK MLE | GCL Marlins | — | 105 | 99 | 27 | 3 | 1 | 1 | 3 | 16 | 1 | 1 | 0 | 273 | 301 | 354 | 655 | 81 | 292 | 15 | 3 | 270 | 69 | — | — | — | — | — | — |
| 2016 | 19 | A+ MLE | Lake Elsinore Storm | — | 144 | 140 | 32 | 4 | 0 | 3 | 2 | 29 | 0 | 1 | 1 | 229 | 239 | 321 | 561 | 93 | 260 | 20 | 1 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 19 | A MLE | Greensboro Grasshoppers | — | 370 | 350 | 81 | 21 | 2 | 5 | 14 | 88 | 3 | 10 | 3 | 231 | 267 | 346 | 613 | 114 | 289 | 24 | 4 | 266 | 66 | — | — | — | — | — | — |
| 2017 | 20 | AA MLE | San Antonio Missions | — | 175 | 160 | 37 | 8 | 0 | 2 | 12 | 44 | 1 | 2 | 1 | 231 | 289 | 319 | 608 | 87 | 300 | 25 | 7 | 269 | 68 | — | — | — | — | — | — |
| 2017 | 20 | A+ MLE | Lake Elsinore Storm | — | 313 | 292 | 75 | 14 | 1 | 8 | 18 | 65 | 2 | 7 | 1 | 257 | 304 | 394 | 698 | 137 | 306 | 21 | 6 | 308 | 95 | — | — | — | — | — | — |
| 2018 | 21 | AA MLE | San Antonio Missions | — | 574 | 525 | 140 | 19 | 1 | 18 | 40 | 84 | 7 | 5 | 5 | 267 | 327 | 410 | 736 | 143 | 284 | 15 | 7 | 323 | 105 | — | — | — | — | — | — |
| 2019 | 22 | MLB MLE | San Diego Padres | — | 279 | 254 | 64 | 16 | 0 | 8 | 24 | 64 | 0 | 1 | 1 | 252 | 317 | 409 | 726 | 157 | 302 | 23 | 9 | 323 | 105 | +2 | -0 | -7 | -7 | +6 | -0.6 |
| 2019 | 22 | AAA MLE | El Paso Chihuahuas | — | 252 | 232 | 61 | 16 | 1 | 9 | 19 | 40 | 0 | 1 | 0 | 263 | 319 | 457 | 776 | 194 | 279 | 16 | 8 | 330 | 109 | — | — | — | — | — | — |
| 2020 | 23 | MLB MLE | Cleveland Indians | — | 104 | 98 | 24 | 3 | 1 | 1 | 5 | 12 | 1 | 1 | 0 | 245 | 288 | 327 | 615 | 82 | 274 | 12 | 5 | 280 | 76 | -3 | +0 | +0 | -1 | +2 | -0.1 |
| 2021 | 24 | MLB MLE | Cleveland Indians | — | 250 | 235 | 59 | 13 | 0 | 7 | 13 | 45 | 2 | 1 | 0 | 251 | 296 | 396 | 692 | 145 | 287 | 18 | 5 | 307 | 94 | -2 | +0 | -1 | -3 | +5 | 0.0 |
| 2022 | 25 | MLB MLE | Cleveland Guardians | — | 498 | 453 | 115 | 28 | 0 | 20 | 34 | 80 | 6 | 6 | 1 | 254 | 314 | 448 | 763 | 194 | 268 | 16 | 7 | 333 | 111 | +7 | +1 | -2 | -9 | +11 | 0.7 |
| 2022 | 25 | AAA MLE | Columbus Clippers | — | 25 | 21 | 4 | 2 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 190 | 320 | 286 | 606 | 95 | 185 | 0 | 16 | 269 | 68 | — | — | — | — | — | — |
| 2023 | 26 | MLB MLE | Cleveland Guardians | — | 495 | 461 | 139 | 31 | 0 | 17 | 24 | 68 | 3 | 10 | 3 | 302 | 340 | 479 | 820 | 178 | 326 | 14 | 5 | 355 | 126 | +16 | +1 | +1 | -9 | +11 | 1.9 |
| 2024 | 27 | MLB MLE | Cleveland Guardians | — | 633 | 571 | 137 | 27 | 0 | 31 | 51 | 105 | 7 | 6 | 2 | 240 | 310 | 450 | 760 | 210 | 246 | 17 | 8 | 333 | 112 | +9 | +0 | -5 | -11 | +14 | 0.7 |
| 2025 | 28 | MLB MLE | Seattle Mariners | — | 604 | 551 | 162 | 29 | 1 | 21 | 44 | 83 | 4 | 30 | 2 | 294 | 351 | 465 | 815 | 171 | 315 | 14 | 7 | 357 | 128 | +20 | +5 | -4 | -11 | +13 | 2.4 |
| 2026 | 29 | MLB MLE | Seattle Mariners | — | 650 | 601 | 157 | 23 | 0 | 10 | 42 | 79 | 5 | 30 | 9 | 261 | 315 | 349 | 664 | 88 | 286 | 12 | 6 | 302 | 90 | -7 | +2 | -1 | -12 | +14 | -0.3 |
| 2015 | 18 | ROK MLE | GCL Marlins | — | 105 | 99 | 27 | 3 | 1 | 1 | 3 | 16 | 1 | 1 | 0 | 273 | 301 | 354 | 655 | 81 | 310 | 15 | 3 | 270 | 69 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | GCL Marlins | — | 105 | 98 | 32 | 4 | 1 | 1 | 4 | 11 | 1 | 1 | 0 | 327 | 359 | 418 | 778 | 92 | 352 | 10 | 4 | 342 | 69 | — | — | — | — | — | — |
| 2016 | 19 | A MLE | 2 teams | — | 514 | 490 | 113 | 25 | 2 | 8 | 16 | 117 | 3 | 11 | 4 | 231 | 259 | 339 | 598 | 108 | 285 | 23 | 3 | 260 | 62 | — | — | — | — | — | — |
| 2016 | 19 | A RAW | 2 teams | — | 514 | 481 | 127 | 29 | 2 | 12 | 25 | 84 | 3 | 11 | 4 | 264 | 305 | 407 | 712 | 143 | 296 | 16 | 5 | 313 | 62 | — | — | — | — | — | — |
| 2017 | 20 | A+ MLE | 3 teams | — | 571 | 529 | 133 | 26 | 2 | 12 | 35 | 128 | 4 | 11 | 2 | 251 | 303 | 376 | 679 | 125 | 309 | 22 | 6 | 294 | 85 | — | — | — | — | — | — |
| 2017 | 20 | A+ RAW | 3 teams | — | 571 | 518 | 147 | 31 | 2 | 13 | 46 | 98 | 4 | 11 | 2 | 284 | 347 | 427 | 773 | 143 | 327 | 17 | 8 | 344 | 85 | — | — | — | — | — | — |
| 2018 | 21 | AA MLE | San Antonio Missions | — | 574 | 525 | 140 | 19 | 1 | 18 | 40 | 84 | 7 | 5 | 5 | 267 | 327 | 410 | 736 | 143 | 287 | 15 | 7 | 323 | 105 | — | — | — | — | — | — |
| 2018 | 21 | AA RAW | San Antonio Missions | — | 574 | 501 | 149 | 22 | 1 | 17 | 64 | 69 | 7 | 5 | 5 | 297 | 385 | 447 | 832 | 150 | 317 | 12 | 11 | 372 | 105 | — | — | — | — | — | — |
| 2019 | 22 | MLB MLE | 3 teams | — | 614 | 561 | 144 | 37 | 1 | 19 | 50 | 120 | 1 | 7 | 2 | 257 | 319 | 428 | 746 | 171 | 295 | 20 | 8 | 326 | 107 | +5 | +1 | -7 | -7 | +13 | 0.6 |
| 2019 | 22 | MLB RAW | 3 teams | — | 614 | 552 | 152 | 36 | 1 | 19 | 58 | 105 | 1 | 7 | 2 | 275 | 345 | 447 | 792 | 172 | 309 | 17 | 9 | 351 | 107 | +5 | +1 | -7 | -7 | +13 | 0.6 |
| 2020 | 23 | MLB MLE | Cleveland Indians | — | 104 | 98 | 24 | 3 | 1 | 1 | 5 | 12 | 1 | 1 | 0 | 245 | 288 | 327 | 615 | 82 | 271 | 12 | 5 | 280 | 76 | -3 | +0 | +0 | -1 | +2 | -0.1 |
| 2020 | 23 | MLB RAW | Cleveland Indians | — | 104 | 97 | 24 | 3 | 1 | 1 | 5 | 12 | 1 | 1 | 0 | 247 | 288 | 330 | 618 | 82 | 274 | 12 | 5 | 279 | 76 | -3 | +0 | +0 | -1 | +2 | -0.1 |
| 2021 | 24 | MLB MLE | Cleveland Indians | — | 250 | 235 | 59 | 13 | 0 | 7 | 13 | 45 | 2 | 1 | 0 | 251 | 296 | 396 | 692 | 145 | 284 | 18 | 5 | 307 | 94 | -2 | +0 | -1 | -3 | +5 | 0.0 |
| 2021 | 24 | MLB RAW | Cleveland Indians | — | 250 | 233 | 59 | 13 | 0 | 7 | 14 | 45 | 2 | 1 | 0 | 253 | 300 | 399 | 699 | 146 | 287 | 18 | 6 | 311 | 94 | -2 | +0 | -1 | -3 | +5 | 0.0 |
| 2022 | 25 | MLB MLE | 2 teams | — | 523 | 474 | 118 | 29 | 0 | 20 | 38 | 80 | 6 | 6 | 1 | 249 | 313 | 437 | 749 | 188 | 259 | 15 | 7 | 330 | 109 | +6 | +1 | -2 | -9 | +11 | 0.7 |
| 2022 | 25 | MLB RAW | 2 teams | — | 523 | 469 | 119 | 30 | 0 | 20 | 43 | 80 | 6 | 6 | 1 | 254 | 324 | 446 | 770 | 192 | 265 | 15 | 8 | 338 | 109 | +6 | +1 | -2 | -9 | +11 | 0.7 |
| 2023 | 26 | MLB MLE | Cleveland Guardians | — | 495 | 461 | 139 | 31 | 0 | 17 | 24 | 68 | 3 | 10 | 3 | 302 | 340 | 479 | 820 | 178 | 319 | 14 | 5 | 355 | 126 | +16 | +1 | +1 | -9 | +11 | 1.9 |
| 2023 | 26 | MLB RAW | Cleveland Guardians | — | 495 | 452 | 139 | 31 | 0 | 17 | 33 | 68 | 3 | 10 | 3 | 308 | 359 | 489 | 848 | 181 | 326 | 14 | 7 | 369 | 126 | +16 | +1 | +1 | -9 | +11 | 1.9 |
| 2024 | 27 | MLB MLE | Cleveland Guardians | — | 633 | 571 | 137 | 27 | 0 | 31 | 51 | 105 | 7 | 6 | 2 | 240 | 310 | 450 | 760 | 210 | 241 | 17 | 8 | 333 | 112 | +9 | +0 | -5 | -11 | +14 | 0.7 |
| 2024 | 27 | MLB RAW | Cleveland Guardians | — | 633 | 563 | 137 | 27 | 0 | 31 | 58 | 105 | 7 | 6 | 2 | 243 | 321 | 456 | 778 | 213 | 246 | 17 | 9 | 342 | 112 | +9 | +0 | -5 | -11 | +14 | 0.7 |
| 2025 | 28 | MLB MLE | Seattle Mariners | — | 604 | 551 | 162 | 29 | 1 | 21 | 44 | 83 | 4 | 30 | 2 | 294 | 351 | 465 | 815 | 171 | 312 | 14 | 7 | 357 | 128 | +20 | +5 | -4 | -11 | +13 | 2.4 |
| 2025 | 28 | MLB RAW | Seattle Mariners | — | 604 | 543 | 160 | 29 | 1 | 20 | 48 | 83 | 4 | 30 | 2 | 295 | 354 | 462 | 816 | 168 | 315 | 14 | 8 | 358 | 128 | +20 | +5 | -4 | -11 | +13 | 2.4 |
| 2026 | 29 | MLB MLE | Seattle Mariners | — | 650 | 601 | 157 | 23 | 0 | 10 | 42 | 79 | 5 | 30 | 9 | 261 | 315 | 349 | 664 | 88 | 286 | 12 | 6 | 302 | 90 | -7 | +2 | -1 | -12 | +14 | -0.3 |
| 2026 | 29 | MLB RAW | Seattle Mariners | — | 650 | 597 | 156 | 23 | 0 | 10 | 45 | 79 | 5 | 30 | 9 | 261 | 318 | 350 | 668 | 89 | 286 | 12 | 7 | 303 | 90 | -7 | +2 | -1 | -12 | +14 | -0.3 |
| 2015 | 18 | ROK MLE | GCL Marlins | — | 105 | 100 | 27 | 3 | 1 | 1 | 3 | 16 | 1 | 1 | 0 | 270 | 301 | 350 | 651 | 80 | 292 | 15 | 3 | 270 | 69 | — | — | — | — | — | — |
| 2016 | 19 | A MLE | 2 teams | — | 514 | 490 | 113 | 25 | 2 | 8 | 16 | 117 | 3 | 11 | 4 | 231 | 259 | 339 | 598 | 108 | 281 | 23 | 3 | 260 | 62 | — | — | — | — | — | — |
| 2017 | 20 | A+ MLE | 3 teams | — | 571 | 527 | 133 | 26 | 2 | 12 | 35 | 128 | 4 | 11 | 2 | 252 | 303 | 378 | 680 | 125 | 304 | 22 | 6 | 294 | 85 | — | — | — | — | — | — |
| 2018 | 21 | AA MLE | San Antonio Missions | — | 574 | 522 | 140 | 19 | 1 | 18 | 40 | 84 | 7 | 5 | 5 | 268 | 327 | 412 | 739 | 144 | 284 | 15 | 7 | 323 | 105 | — | — | — | — | — | — |
| 2019 | 22 | MLB MLE | 3 teams | — | 614 | 558 | 144 | 37 | 1 | 19 | 50 | 120 | 1 | 7 | 2 | 258 | 319 | 430 | 749 | 172 | 291 | 20 | 8 | 326 | 107 | — | — | — | — | — | — |
| 2020 | 23 | MLB MLE | Cleveland Indians | — | 104 | 97 | 24 | 3 | 1 | 1 | 5 | 12 | 1 | 1 | 0 | 247 | 288 | 330 | 618 | 82 | 274 | 12 | 5 | 280 | 76 | — | — | — | — | — | — |
| 2021 | 24 | MLB MLE | Cleveland Indians | — | 250 | 233 | 59 | 13 | 0 | 7 | 13 | 45 | 2 | 1 | 0 | 253 | 296 | 399 | 695 | 146 | 287 | 18 | 5 | 307 | 94 | — | — | — | — | — | — |
| 2022 | 25 | MLB MLE | 2 teams | — | 523 | 474 | 118 | 29 | 0 | 20 | 38 | 80 | 6 | 6 | 1 | 249 | 313 | 437 | 749 | 188 | 264 | 15 | 7 | 330 | 109 | — | — | — | — | — | — |
| 2023 | 26 | MLB MLE | Cleveland Guardians | — | 495 | 465 | 139 | 31 | 0 | 17 | 24 | 68 | 3 | 10 | 3 | 299 | 340 | 475 | 815 | 176 | 326 | 14 | 5 | 355 | 126 | — | — | — | — | — | — |
| 2024 | 27 | MLB MLE | Cleveland Guardians | — | 633 | 570 | 137 | 27 | 0 | 31 | 51 | 105 | 7 | 6 | 2 | 240 | 310 | 451 | 761 | 211 | 246 | 17 | 8 | 333 | 112 | — | — | — | — | — | — |
| 2025 | 28 | MLB MLE | Seattle Mariners | — | 604 | 551 | 162 | 29 | 1 | 21 | 44 | 83 | 4 | 30 | 2 | 294 | 351 | 465 | 815 | 171 | 315 | 14 | 7 | 357 | 128 | — | — | — | — | — | — |
| 2026 | 29 | MLB MLE | Seattle Mariners | — | 650 | 598 | 157 | 23 | 0 | 10 | 42 | 79 | 5 | 30 | 9 | 263 | 315 | 351 | 666 | 89 | 286 | 12 | 6 | 302 | 90 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 27 | MLB MLE | Cleveland Guardians | — | 633 | 570 | 137 | 27 | 0 | 31 | 51 | 105 | 7 | 6 | 2 | 240 | 310 | 451 | 761 | 211 | 246 | 17 | 8 | 333 | 112 | — | — | — | — | — | — |
| 2025 | 28 | MLB MLE | Seattle Mariners | — | 604 | 551 | 162 | 29 | 1 | 21 | 44 | 83 | 4 | 30 | 2 | 294 | 351 | 465 | 815 | 171 | 315 | 14 | 7 | 357 | 128 | — | — | — | — | — | — |
| 2026 | 29 | MLB MLE | Seattle Mariners | — | 650 | 598 | 157 | 23 | 0 | 10 | 42 | 79 | 5 | 30 | 9 | 263 | 315 | 351 | 666 | 89 | 286 | 12 | 6 | 302 | 90 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 30 | MLB MLE | SEA | 100% | 589 | 538 | 141 | 24 | 1 | 15 | 41 | 79 | 5 | 20 | 8 | 261 | 318 | 392 | 711 | 131 | 279 | 13 | 7 | 317 | 100 | +0 | +1 | +5 | -11 | +13 | 1.0 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 30 | MLB CTX | SEA | 100% | 527 | 482 | 124 | 21 | 0 | 13 | 36 | 71 | 4 | 18 | 7 | 259 | 316 | 387 | 703 | 128 | 277 | 13 | 7 | 314 | 100 | +0 | +1 | +5 | -9 | +11 | 0.8 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 31 | MLB MLE | SEA | 100% | 596 | 547 | 140 | 23 | 0 | 15 | 40 | 82 | 4 | 14 | 7 | 256 | 312 | 380 | 693 | 124 | 275 | 14 | 7 | 309 | 95 | -3 | +0 | +2 | -11 | +13 | 0.1 |
| 2028 | 31 | MLB CTX | SEA | 100% | 596 | 547 | 138 | 23 | 0 | 14 | 40 | 82 | 4 | 14 | 7 | 254 | 310 | 375 | 685 | 122 | 273 | 14 | 7 | 306 | 95 | -3 | +0 | +2 | -11 | +13 | 0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 4109 | 3734 | 991 | 192 | 2 | 128 | 306 | 618 | 32 | 99 | 25 | 265 | 326 | 421 | 746 | 155 | 286 | 15 | 7 | 331 | 101 | +51 | +10 | -16 | -73 | +89 | 6.2 | |
| / 162G | — | A+C | — | 650 | 591 | 156 | 30 | 0 | 20 | 48 | 98 | 5 | 16 | 4 | 264 | 324 | 416 | 740 | 152 | 285 | 15 | 7 | 331 | 101 | +8 | +2 | -3 | -12 | +14 | 1.0 | |
| Career | — | MLE | — | 6760 | 6224 | 1619 | 309 | 9 | 194 | 437 | 1090 | 52 | 151 | 44 | 260 | 314 | 406 | 720 | 146 | 286 | 16 | 6 | 317 | 101 | +51 | +11 | -12 | -82 | +100 | 7.0 | |
| / 162G | — | MLE | — | 650 | 598 | 156 | 30 | 1 | 19 | 42 | 105 | 5 | 15 | 4 | 261 | 314 | 410 | 724 | 149 | 287 | 16 | 6 | 317 | 101 | +7 | +1 | -2 | -12 | +14 | 1.0 | |
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.
2022 AAAColumbus Clippers · 25 PAwOBA .308 → .269 (−39)K% 0.0% → 0.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 0.00% | ÷1.036 | ×1.200 | — | — | 0.00% |
| BB% (unintentional) /PA | 20.00% | ÷0.930 | ×0.690 | — | ×1.033 | 15.33% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.033 | 0.00% |
| Singles /BIP | 10.00% | ÷0.941 | ×0.930 | — | ×1.033 | 10.21% |
| Doubles /BIP | 10.00% | ÷1.040 | ×0.830 | — | ×1.033 | 8.24% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | — | ×1.033 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.001 | ×0.700 | — | ×1.033 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 88, 2B 108, 3B 80, K 107, BB 86 — 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).
Result: wOBA .308 → .269; ISO .100 → .087; BABIP .200 → .185. 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 AAAEl Paso Chihuahuas · 252 PAwOBA .398 → .330 (−68)K% 11.9% → 15.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.90% | ÷0.965 | ×1.290 | — | — | 15.91% |
| BB% (unintentional) /PA | 10.71% | ÷1.050 | ×0.710 | — | ×1.050 | 7.61% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.050 | 0.00% |
| Singles /BIP | 20.21% | ÷1.033 | ×0.900 | ×0.979 | ×1.050 | 18.09% |
| Doubles /BIP | 10.36% | ÷1.044 | ×0.810 | ×0.979 | ×1.050 | 8.26% |
| Triples /BIP | 0.52% | ÷0.900 | ×0.810 | ×0.979 | ×1.050 | 0.48% |
| Home runs /BIP | 5.18% | ÷0.950 | ×0.780 | — | ×1.050 | 4.47% |
Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 107, 2B 109, 3B 80, K 93, BB 110 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.
Result: wOBA .398 → .330; ISO .233 → .195; BABIP .326 → .279. 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 AASan Antonio Missions · 574 PAwOBA .359 → .323 (−36)K% 12.0% → 14.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.02% | ÷1.002 | ×1.220 | — | — | 14.64% |
| BB% (unintentional) /PA | 9.76% | ÷1.026 | ×0.700 | — | ×1.050 | 6.99% |
| HBP% /PA | 1.22% | — | ×0.870 | — | ×1.050 | 1.11% |
| Singles /BIP | 25.23% | ÷1.072 | ×0.920 | ×1.010 | ×1.050 | 22.97% |
| Doubles /BIP | 5.09% | ÷1.081 | ×0.840 | ×1.010 | ×1.050 | 4.20% |
| Triples /BIP | 0.23% | ÷1.031 | ×0.940 | ×1.010 | ×1.050 | 0.22% |
| Home runs /BIP | 3.94% | ÷0.824 | ×0.800 | — | ×1.050 | 4.01% |
Factors used: league row TL. Park (home-season share, regressed): HR 65, 1B 114, 2B 116, 3B 106, K 100, BB 105 — 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 ×1.010.
Result: wOBA .359 → .323; ISO .150 → .148; BABIP .317 → .284. 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+Lake Elsinore Storm · 313 PAwOBA .351 → .308 (−43)K% 15.3% → 20.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.34% | ÷0.983 | ×1.340 | — | — | 20.91% |
| BB% (unintentional) /PA | 7.99% | ÷1.020 | ×0.710 | — | ×1.042 | 5.79% |
| HBP% /PA | 0.64% | — | ×0.790 | — | ×1.042 | 0.53% |
| Singles /BIP | 24.68% | ÷1.050 | ×0.910 | ×1.031 | ×1.042 | 22.96% |
| Doubles /BIP | 6.81% | ÷0.990 | ×0.820 | ×1.031 | ×1.042 | 6.06% |
| Triples /BIP | 0.85% | ÷1.088 | ×0.760 | ×1.031 | ×1.042 | 0.64% |
| Home runs /BIP | 3.40% | ÷0.921 | ×0.920 | — | ×1.042 | 3.54% |
Factors used: league row CAL. Park (home-season share, regressed): HR 84, 1B 110, 2B 98, 3B 118, K 97, BB 104 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.
Result: wOBA .351 → .308; ISO .155 → .145; BABIP .333 → .306. 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 AASan Antonio Missions · 175 PAwOBA .298 → .269 (−29)K% 20.6% → 25.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.57% | ÷1.000 | ×1.220 | — | — | 25.10% |
| BB% (unintentional) /PA | 9.14% | ÷0.994 | ×0.700 | — | ×1.050 | 6.76% |
| HBP% /PA | 0.57% | — | ×0.870 | — | ×1.050 | 0.52% |
| Singles /BIP | 23.33% | ÷0.996 | ×0.920 | ×1.026 | ×1.050 | 23.21% |
| Doubles /BIP | 7.50% | ÷0.992 | ×0.840 | ×1.026 | ×1.050 | 6.84% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | ×1.026 | ×1.050 | 0.00% |
| Home runs /BIP | 1.67% | ÷0.940 | ×0.800 | — | ×1.050 | 1.49% |
Factors used: league row TL. Park (home-season share, regressed): HR 88, 1B 99, 2B 98, 3B 80, K 100, BB 99 — 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 ×1.026.
Result: wOBA .298 → .269; ISO .096 → .086; BABIP .308 → .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).
2016 AGreensboro Grasshoppers · 370 PAwOBA .320 → .266 (−54)K% 16.8% → 23.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.76% | ÷0.943 | ×1.340 | — | — | 23.80% |
| BB% (unintentional) /PA | 5.41% | ÷0.982 | ×0.660 | — | ×1.045 | 3.80% |
| HBP% /PA | 0.81% | — | ×0.770 | — | ×1.045 | 0.65% |
| Singles /BIP | 20.36% | ÷1.002 | ×0.920 | ×1.028 | ×1.045 | 20.09% |
| Doubles /BIP | 8.57% | ÷0.976 | ×0.820 | ×1.028 | ×1.045 | 7.74% |
| Triples /BIP | 0.71% | ÷1.042 | ×0.940 | ×1.028 | ×1.045 | 0.69% |
| Home runs /BIP | 3.21% | ÷1.378 | ×0.820 | — | ×1.045 | 2.00% |
Factors used: league row SAL. Park (home-season share, regressed): HR 176, 1B 100, 2B 95, 3B 108, K 89, BB 96 — 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 ×1.028.
Result: wOBA .320 → .266; ISO .161 → .117; BABIP .304 → .289. 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+Lake Elsinore Storm · 144 PAwOBA .268 → .243 (−25)K% 15.3% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.28% | ÷1.016 | ×1.340 | — | — | 20.14% |
| BB% (unintentional) /PA | 2.08% | ÷1.036 | ×0.710 | — | ×1.050 | 1.50% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×1.050 | 0.00% |
| Singles /BIP | 23.08% | ÷0.999 | ×0.910 | ×1.004 | ×1.050 | 22.16% |
| Doubles /BIP | 4.27% | ÷1.036 | ×0.820 | ×1.004 | ×1.050 | 3.57% |
| Triples /BIP | 0.00% | ÷0.969 | ×0.760 | ×1.004 | ×1.050 | 0.00% |
| Home runs /BIP | 2.56% | ÷0.925 | ×0.920 | — | ×1.050 | 2.68% |
Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 100, 2B 107, 3B 94, K 103, BB 107 — 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 ×1.004.
Result: wOBA .268 → .243; ISO .101 → .094; BABIP .276 → .260. 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 ROKGCL Marlins · 105 PAwOBA .339 → .270 (−69)K% 10.5% → 15.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.48% | ÷1.000 | ×1.440 | — | — | 15.09% |
| BB% (unintentional) /PA | 3.81% | ÷1.000 | ×0.620 | — | ×1.022 | 2.42% |
| HBP% /PA | 0.95% | — | ×0.720 | — | ×1.022 | 0.70% |
| Singles /BIP | 29.89% | ÷1.000 | ×0.820 | ×1.010 | ×1.022 | 25.30% |
| Doubles /BIP | 4.60% | ÷1.000 | ×0.720 | ×1.010 | ×1.022 | 3.42% |
| Triples /BIP | 1.15% | ÷1.000 | ×0.720 | ×1.010 | ×1.022 | 0.85% |
| Home runs /BIP | 1.15% | ÷1.000 | ×0.780 | — | ×1.022 | 0.92% |
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 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 ×1.010.
Result: wOBA .339 → .270; ISO .092 → .069; BABIP .352 → .292. 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 — .