Austin Slater
RF Durham Bulls| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 31 | MLBBAL | 212 | .209/.327/.266 | 2 | 3 | 73 | -0.6 | |
| 2025 | 32 | AAAScranton/Wilk… | 35 | .296/.457/.333 | 0 | 0 | 82 | — | .267/.371/.300 |
| 2025 | 32 | MLBNYY | 160 | .216/.270/.372 | 5 | 1 | 76 | -0.3 | |
| 2026 | 33 | AAATB | 194 | .283/.387/.398 | 3 | 3 | 75 | — | .232/.299/.311 |
| 2026 | 33 | MLBTB | 74 | .231/.315/.277 | 0 | 4 | 71 | -0.3 | |
| 2027PROJ10% MLB | 34 | MLBTB | 16 | .239/.316/.349 | 0 | 0 | 89 | 0.0 | |
| 2028PROJ | 35 | MLBTB | 121 | .227/.304/.325 | 2 | 1 | 79 | -0.7 |
Tools · Splits · ContractCON 50 / POW 50
Career Stats + Projections
Methodology▸ how these numbers are built
All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2015 | 22 | AA | Richmond Flying Squirrels | — | 218 | 199 | 59 | 11 | 1 | 0 | 14 | 48 | 3 | 1 | 1 | 296 | 352 | 362 | 714 | 65 | 388 | 22 | 6 | 322 | 84 | — | — | — | — | — | — |
| 2015 | 22 | A+ | San Jose Giants | — | 265 | 250 | 73 | 15 | 1 | 3 | 10 | 44 | 2 | 4 | 3 | 292 | 324 | 396 | 720 | 104 | 340 | 17 | 4 | 319 | 70 | — | — | — | — | — | — |
| 2015 | 22 | INTL | Scottsdale Scorpions | — | 80 | 68 | 17 | 4 | 1 | 0 | 10 | 19 | 0 | 3 | 1 | 250 | 346 | 338 | 684 | 88 | 333 | 24 | 12 | 307 | 94 | — | — | — | — | — | — |
| 2016 | 23 | AAA | Sacramento River Cats | — | 278 | 245 | 73 | 12 | 0 | 13 | 33 | 53 | 0 | 2 | 6 | 298 | 381 | 506 | 887 | 208 | 335 | 19 | 12 | 392 | 109 | — | — | — | — | — | — |
| 2016 | 23 | AA | Richmond Flying Squirrels | — | 172 | 145 | 46 | 8 | 1 | 5 | 24 | 36 | 1 | 6 | 1 | 317 | 418 | 490 | 907 | 172 | 387 | 21 | 14 | 400 | 122 | — | — | — | — | — | — |
| 2017 | 24 | MLB | San Francisco Giants | — | 127 | 117 | 33 | 3 | 1 | 3 | 8 | 29 | 2 | 0 | 0 | 282 | 339 | 402 | 740 | 120 | 353 | 23 | 6 | 333 | 116 | +2 | +0 | -1 | -4 | +3 | 0.1 |
| 2017 | 24 | AAA | Sacramento River Cats | — | 206 | 184 | 59 | 12 | 0 | 5 | 15 | 39 | 3 | 4 | 3 | 321 | 381 | 467 | 849 | 147 | 380 | 19 | 7 | 371 | 105 | — | — | — | — | — | — |
| 2018 | 25 | MLB | San Francisco Giants | — | 225 | 199 | 50 | 6 | 1 | 1 | 20 | 69 | 5 | 7 | 0 | 251 | 335 | 307 | 641 | 55 | 377 | 31 | 9 | 298 | 86 | -4 | +1 | -3 | -5 | +5 | -0.6 |
| 2018 | 25 | AAA | Sacramento River Cats | — | 223 | 195 | 67 | 24 | 2 | 5 | 21 | 39 | 5 | 8 | 2 | 344 | 421 | 564 | 985 | 221 | 405 | 17 | 9 | 428 | 143 | — | — | — | — | — | — |
| 2019 | 26 | MLB | San Francisco Giants | — | 192 | 168 | 40 | 9 | 3 | 5 | 22 | 59 | 2 | 1 | 0 | 238 | 333 | 417 | 750 | 179 | 337 | 31 | 11 | 336 | 115 | +3 | +0 | +0 | -5 | +4 | 0.3 |
| 2019 | 26 | AAA | Sacramento River Cats | — | 296 | 240 | 74 | 17 | 0 | 12 | 46 | 69 | 9 | 6 | 2 | 308 | 437 | 529 | 966 | 221 | 388 | 23 | 16 | 426 | 112 | — | — | — | — | — | — |
| 2020 | 27 | MLB | San Francisco Giants | — | 104 | 85 | 24 | 2 | 1 | 5 | 16 | 22 | 2 | 8 | 1 | 282 | 408 | 506 | 914 | 224 | 328 | 21 | 15 | 401 | 164 | +8 | +1 | -0 | -1 | +2 | 1.0 |
| 2021 | 28 | MLB | San Francisco Giants | — | 306 | 274 | 66 | 12 | 1 | 12 | 28 | 84 | 4 | 15 | 2 | 241 | 320 | 423 | 744 | 182 | 303 | 27 | 9 | 332 | 113 | +5 | +2 | +1 | +1 | +7 | 1.6 |
| 2022 | 29 | MLB | San Francisco Giants | — | 325 | 277 | 73 | 15 | 2 | 7 | 40 | 89 | 6 | 12 | 1 | 264 | 368 | 408 | 776 | 144 | 361 | 27 | 12 | 350 | 127 | +10 | +2 | -1 | +1 | +7 | 2.0 |
| 2023 | 30 | MLB | San Francisco Giants | — | 207 | 185 | 50 | 9 | 0 | 5 | 20 | 58 | 2 | 2 | 2 | 270 | 348 | 400 | 748 | 130 | 369 | 28 | 10 | 338 | 119 | +5 | -0 | -0 | +1 | +4 | 1.0 |
| 2023 | 30 | AAA | Sacramento River Cats | — | 24 | 21 | 7 | 1 | 0 | 1 | 3 | 7 | 0 | 1 | 0 | 333 | 417 | 524 | 940 | 190 | 462 | 29 | 12 | 416 | 105 | — | — | — | — | — | — |
| 2024 | 31 | MLB | Baltimore Orioles | — | 212 | 177 | 37 | 4 | 0 | 2 | 26 | 60 | 5 | 3 | 2 | 209 | 327 | 266 | 592 | 56 | 294 | 28 | 12 | 279 | 73 | -7 | -0 | -1 | -2 | +5 | -0.6 |
| 2024 | 31 | AAA | Sacramento River Cats | — | 18 | 17 | 4 | 0 | 0 | 1 | 1 | 4 | 0 | 1 | 0 | 235 | 278 | 412 | 690 | 176 | 250 | 22 | 6 | 305 | 42 | — | — | — | — | — | — |
| 2025 | 32 | MLB | New York Yankees | — | 160 | 148 | 32 | 6 | 1 | 5 | 11 | 51 | 0 | 1 | 0 | 216 | 270 | 372 | 642 | 155 | 293 | 32 | 7 | 284 | 76 | -5 | +0 | +0 | -2 | +3 | -0.3 |
| 2025 | 32 | AAA | Scranton/Wilkes-Barre RailRiders | — | 35 | 27 | 8 | 1 | 0 | 0 | 8 | 7 | 0 | 0 | 0 | 296 | 457 | 333 | 790 | 37 | 400 | 20 | 23 | 377 | 82 | — | — | — | — | — | — |
| 2026 | 33 | MLB | Tampa Bay Rays | — | 74 | 65 | 15 | 3 | 0 | 0 | 8 | 21 | 0 | 4 | 0 | 231 | 315 | 277 | 592 | 46 | 333 | 28 | 11 | 274 | 71 | -3 | +1 | +0 | -3 | +2 | -0.3 |
| 2026 | 33 | AAA | Durham Bulls | — | 194 | 166 | 47 | 10 | 0 | 3 | 28 | 51 | 0 | 3 | 1 | 283 | 387 | 398 | 784 | 114 | 393 | 26 | 14 | 358 | 75 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 1932 | 1695 | 420 | 69 | 10 | 45 | 199 | 542 | 28 | 53 | 8 | 248 | 337 | 380 | 717 | 132 | 336 | 28 | 10 | 324 | 105 | +12 | +7 | -5 | -19 | +42 | 3.8 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 22 | AA MLE | Richmond Flying Squirrels | — | 218 | 203 | 57 | 10 | 1 | 0 | 10 | 58 | 3 | 1 | 1 | 281 | 324 | 340 | 664 | 59 | 387 | 27 | 5 | 293 | 84 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | San Jose Giants | — | 265 | 253 | 66 | 11 | 1 | 3 | 7 | 60 | 2 | 4 | 3 | 261 | 286 | 348 | 634 | 87 | 318 | 23 | 3 | 271 | 70 | — | — | — | — | — | — |
| 2016 | 23 | AAA MLE | Sacramento River Cats | — | 278 | 255 | 70 | 11 | 0 | 10 | 23 | 66 | 0 | 2 | 6 | 275 | 335 | 435 | 770 | 161 | 332 | 24 | 8 | 330 | 109 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | Richmond Flying Squirrels | — | 172 | 154 | 47 | 8 | 1 | 4 | 15 | 45 | 1 | 6 | 1 | 305 | 371 | 448 | 819 | 143 | 384 | 26 | 9 | 349 | 122 | — | — | — | — | — | — |
| 2017 | 24 | MLB MLE | San Francisco Giants | — | 127 | 117 | 33 | 3 | 1 | 3 | 8 | 29 | 2 | 0 | 0 | 282 | 339 | 402 | 740 | 120 | 353 | 23 | 6 | 340 | 116 | +2 | +0 | -1 | -4 | +3 | 0.1 |
| 2017 | 24 | AAA MLE | Sacramento River Cats | — | 206 | 187 | 53 | 10 | 0 | 4 | 12 | 51 | 3 | 4 | 3 | 283 | 337 | 401 | 738 | 118 | 356 | 25 | 6 | 324 | 105 | — | — | — | — | — | — |
| 2018 | 25 | MLB MLE | San Francisco Giants | — | 225 | 201 | 51 | 6 | 1 | 1 | 18 | 69 | 5 | 7 | 0 | 254 | 330 | 308 | 639 | 55 | 377 | 31 | 8 | 295 | 86 | -4 | +1 | -3 | -5 | +5 | -0.6 |
| 2018 | 25 | AAA MLE | Sacramento River Cats | — | 223 | 202 | 65 | 23 | 2 | 4 | 14 | 47 | 5 | 8 | 2 | 322 | 380 | 515 | 895 | 193 | 390 | 21 | 6 | 380 | 143 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | San Francisco Giants | — | 192 | 169 | 40 | 9 | 3 | 5 | 21 | 59 | 2 | 1 | 0 | 237 | 328 | 414 | 742 | 178 | 337 | 31 | 11 | 338 | 115 | +3 | +0 | +0 | -5 | +4 | 0.3 |
| 2019 | 26 | AAA MLE | Sacramento River Cats | — | 296 | 253 | 62 | 13 | 0 | 9 | 33 | 92 | 9 | 6 | 2 | 245 | 353 | 403 | 756 | 158 | 342 | 31 | 11 | 333 | 112 | — | — | — | — | — | — |
| 2020 | 27 | MLB MLE | San Francisco Giants | — | 104 | 85 | 24 | 2 | 1 | 5 | 16 | 22 | 2 | 8 | 1 | 282 | 408 | 506 | 914 | 224 | 328 | 21 | 15 | 411 | 164 | +8 | +1 | -0 | -1 | +2 | 1.0 |
| 2021 | 28 | MLB MLE | San Francisco Giants | — | 306 | 276 | 68 | 12 | 1 | 13 | 26 | 84 | 4 | 15 | 2 | 246 | 320 | 438 | 759 | 192 | 303 | 27 | 8 | 336 | 113 | +5 | +2 | +1 | +1 | +7 | 1.6 |
| 2022 | 29 | MLB MLE | San Francisco Giants | — | 325 | 277 | 75 | 15 | 2 | 8 | 40 | 89 | 6 | 12 | 1 | 271 | 375 | 426 | 801 | 155 | 361 | 27 | 12 | 355 | 127 | +10 | +2 | -1 | +1 | +7 | 2.0 |
| 2023 | 30 | MLB MLE | San Francisco Giants | — | 207 | 185 | 51 | 9 | 0 | 5 | 20 | 58 | 2 | 2 | 2 | 276 | 353 | 405 | 758 | 130 | 369 | 28 | 10 | 344 | 119 | +5 | -0 | -0 | +1 | +4 | 1.0 |
| 2023 | 30 | AAA MLE | Sacramento River Cats | — | 24 | 22 | 7 | 1 | 0 | 1 | 2 | 8 | 0 | 1 | 0 | 318 | 375 | 500 | 875 | 182 | 398 | 33 | 8 | 323 | 105 | — | — | — | — | — | — |
| 2024 | 31 | MLB MLE | Baltimore Orioles | — | 212 | 177 | 37 | 4 | 0 | 2 | 26 | 60 | 5 | 3 | 2 | 209 | 327 | 266 | 592 | 56 | 294 | 28 | 12 | 276 | 73 | -7 | -0 | -1 | -2 | +5 | -0.6 |
| 2024 | 31 | AAA MLE | Sacramento River Cats | — | 18 | 17 | 4 | 0 | 0 | 1 | 1 | 4 | 0 | 1 | 0 | 235 | 278 | 412 | 690 | 176 | 221 | 22 | 6 | 230 | 42 | — | — | — | — | — | — |
| 2025 | 32 | MLB MLE | New York Yankees | — | 160 | 148 | 32 | 6 | 1 | 5 | 11 | 51 | 0 | 1 | 0 | 216 | 270 | 372 | 642 | 155 | 293 | 32 | 7 | 281 | 76 | -5 | +0 | +0 | -2 | +3 | -0.3 |
| 2025 | 32 | AAA MLE | Scranton/Wilkes-Barre RailRiders | — | 35 | 30 | 8 | 1 | 0 | 0 | 5 | 9 | 0 | 0 | 0 | 267 | 371 | 300 | 671 | 33 | 342 | 26 | 14 | 290 | 82 | — | — | — | — | — | — |
| 2026 | 33 | MLB MLE | Tampa Bay Rays | — | 74 | 65 | 15 | 3 | 0 | 0 | 8 | 21 | 0 | 4 | 0 | 231 | 315 | 277 | 592 | 46 | 333 | 28 | 11 | 272 | 71 | -3 | +1 | +0 | -3 | +2 | -0.3 |
| 2026 | 33 | AAA MLE | Durham Bulls | — | 194 | 177 | 41 | 8 | 0 | 2 | 17 | 61 | 0 | 3 | 1 | 232 | 299 | 311 | 610 | 79 | 349 | 31 | 9 | 279 | 75 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | 3 teams | — | 563 | 531 | 143 | 25 | 2 | 3 | 20 | 138 | 5 | 8 | 5 | 269 | 302 | 341 | 643 | 72 | 354 | 25 | 4 | 281 | 76 | — | — | — | — | — | — |
| 2015 | 22 | A+ RAW | 3 teams | — | 563 | 517 | 149 | 30 | 3 | 3 | 34 | 111 | 5 | 8 | 5 | 288 | 338 | 375 | 713 | 87 | 357 | 20 | 6 | 318 | 76 | — | — | — | — | — | — |
| 2016 | 23 | AAA MLE | 2 teams | — | 450 | 410 | 115 | 18 | 1 | 14 | 37 | 111 | 1 | 8 | 7 | 280 | 342 | 432 | 773 | 151 | 352 | 25 | 8 | 337 | 114 | — | — | — | — | — | — |
| 2016 | 23 | AAA RAW | 2 teams | — | 450 | 390 | 119 | 20 | 1 | 18 | 57 | 89 | 1 | 8 | 7 | 305 | 395 | 500 | 895 | 195 | 354 | 20 | 13 | 395 | 114 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | 2 teams | — | 333 | 304 | 87 | 13 | 1 | 8 | 20 | 80 | 5 | 4 | 3 | 286 | 340 | 414 | 755 | 128 | 362 | 24 | 6 | 330 | 109 | — | — | — | — | — | — |
| 2017 | 24 | AAA RAW | 2 teams | — | 333 | 301 | 92 | 15 | 1 | 8 | 23 | 68 | 5 | 4 | 3 | 306 | 365 | 442 | 807 | 136 | 370 | 20 | 7 | 357 | 109 | — | — | — | — | — | — |
| 2018 | 25 | MLB MLE | 2 teams | — | 448 | 403 | 116 | 29 | 3 | 5 | 32 | 116 | 10 | 15 | 2 | 288 | 355 | 412 | 767 | 124 | 389 | 26 | 7 | 337 | 114 | +8 | +2 | -3 | -5 | +10 | 1.2 |
| 2018 | 25 | MLB RAW | 2 teams | — | 448 | 394 | 117 | 30 | 3 | 6 | 41 | 108 | 10 | 15 | 2 | 297 | 378 | 434 | 812 | 137 | 392 | 24 | 9 | 362 | 114 | +8 | +2 | -3 | -5 | +10 | 1.2 |
| 2019 | 26 | AAA MLE | 2 teams | — | 488 | 422 | 102 | 22 | 3 | 14 | 54 | 151 | 11 | 7 | 2 | 242 | 343 | 408 | 750 | 166 | 341 | 31 | 11 | 335 | 113 | — | — | — | — | — | — |
| 2019 | 26 | AAA RAW | 2 teams | — | 488 | 408 | 114 | 26 | 3 | 17 | 68 | 128 | 11 | 7 | 2 | 279 | 396 | 483 | 879 | 203 | 367 | 26 | 14 | 391 | 113 | — | — | — | — | — | — |
| 2020 | 27 | MLB MLE | San Francisco Giants | — | 104 | 85 | 24 | 2 | 1 | 5 | 16 | 22 | 2 | 8 | 1 | 282 | 408 | 506 | 914 | 224 | 328 | 21 | 15 | 411 | 164 | +8 | +1 | -0 | -1 | +2 | 1.0 |
| 2020 | 27 | MLB RAW | San Francisco Giants | — | 104 | 85 | 24 | 2 | 1 | 5 | 16 | 22 | 2 | 8 | 1 | 282 | 408 | 506 | 914 | 224 | 328 | 21 | 15 | 401 | 164 | +8 | +1 | -0 | -1 | +2 | 1.0 |
| 2021 | 28 | MLB MLE | San Francisco Giants | — | 306 | 276 | 68 | 12 | 1 | 13 | 26 | 84 | 4 | 15 | 2 | 246 | 320 | 438 | 759 | 192 | 307 | 27 | 8 | 336 | 113 | +5 | +2 | +1 | +1 | +7 | 1.6 |
| 2021 | 28 | MLB RAW | San Francisco Giants | — | 306 | 274 | 66 | 12 | 1 | 12 | 28 | 84 | 4 | 15 | 2 | 241 | 320 | 423 | 744 | 182 | 303 | 27 | 9 | 332 | 113 | +5 | +2 | +1 | +1 | +7 | 1.6 |
| 2022 | 29 | MLB MLE | San Francisco Giants | — | 325 | 277 | 75 | 15 | 2 | 8 | 40 | 89 | 6 | 12 | 1 | 271 | 375 | 426 | 801 | 155 | 368 | 27 | 12 | 355 | 127 | +10 | +2 | -1 | +1 | +7 | 2.0 |
| 2022 | 29 | MLB RAW | San Francisco Giants | — | 325 | 277 | 73 | 15 | 2 | 7 | 40 | 89 | 6 | 12 | 1 | 264 | 368 | 408 | 776 | 144 | 361 | 27 | 12 | 350 | 127 | +10 | +2 | -1 | +1 | +7 | 2.0 |
| 2023 | 30 | MLB MLE | 2 teams | — | 231 | 207 | 57 | 10 | 0 | 6 | 22 | 66 | 2 | 3 | 2 | 275 | 351 | 411 | 761 | 135 | 378 | 29 | 10 | 342 | 118 | +5 | -0 | -0 | +1 | +5 | 1.1 |
| 2023 | 30 | MLB RAW | 2 teams | — | 231 | 206 | 57 | 10 | 0 | 6 | 23 | 65 | 2 | 3 | 2 | 277 | 355 | 413 | 768 | 136 | 378 | 28 | 10 | 346 | 118 | +5 | -0 | -0 | +1 | +5 | 1.1 |
| 2024 | 31 | MLB MLE | 2 teams | — | 230 | 194 | 40 | 4 | 0 | 3 | 27 | 64 | 5 | 4 | 2 | 206 | 319 | 273 | 592 | 67 | 282 | 28 | 12 | 273 | 71 | -8 | +0 | -1 | -2 | +5 | -0.7 |
| 2024 | 31 | MLB RAW | 2 teams | — | 230 | 194 | 41 | 4 | 0 | 3 | 27 | 64 | 5 | 4 | 2 | 211 | 323 | 278 | 601 | 67 | 290 | 28 | 12 | 281 | 71 | -8 | +0 | -1 | -2 | +5 | -0.7 |
| 2025 | 32 | MLB MLE | 2 teams | — | 195 | 178 | 40 | 7 | 1 | 5 | 16 | 60 | 0 | 1 | 0 | 225 | 289 | 360 | 648 | 135 | 310 | 31 | 8 | 282 | 77 | -5 | +0 | +0 | -2 | +4 | -0.3 |
| 2025 | 32 | MLB RAW | 2 teams | — | 195 | 175 | 40 | 7 | 1 | 5 | 19 | 58 | 0 | 1 | 0 | 229 | 304 | 366 | 670 | 137 | 312 | 30 | 10 | 301 | 77 | -5 | +0 | +0 | -2 | +4 | -0.3 |
| 2026 | 33 | AAA MLE | 2 teams | — | 268 | 242 | 56 | 11 | 0 | 2 | 25 | 82 | 0 | 7 | 1 | 231 | 303 | 302 | 605 | 70 | 340 | 31 | 9 | 277 | 74 | — | — | — | — | — | — |
| 2026 | 33 | AAA RAW | 2 teams | — | 268 | 231 | 62 | 13 | 0 | 3 | 36 | 72 | 0 | 7 | 1 | 268 | 367 | 364 | 731 | 95 | 376 | 27 | 13 | 335 | 74 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | 3 teams | — | 563 | 533 | 143 | 25 | 2 | 3 | 20 | 138 | 5 | 8 | 5 | 268 | 302 | 340 | 642 | 71 | 349 | 25 | 4 | 281 | 76 | — | — | — | — | — | — |
| 2016 | 23 | AAA MLE | 2 teams | — | 450 | 409 | 115 | 18 | 1 | 14 | 37 | 111 | 1 | 8 | 7 | 281 | 342 | 433 | 774 | 152 | 352 | 25 | 8 | 337 | 114 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | 2 teams | — | 333 | 305 | 87 | 13 | 1 | 8 | 20 | 80 | 5 | 4 | 3 | 285 | 340 | 413 | 754 | 128 | 355 | 24 | 6 | 330 | 109 | — | — | — | — | — | — |
| 2018 | 25 | MLB MLE | 2 teams | — | 448 | 403 | 116 | 29 | 3 | 5 | 32 | 116 | 10 | 15 | 2 | 288 | 355 | 412 | 767 | 124 | 383 | 26 | 7 | 337 | 114 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | 2 teams | — | 488 | 420 | 102 | 22 | 3 | 14 | 54 | 151 | 11 | 7 | 2 | 243 | 343 | 410 | 752 | 167 | 340 | 31 | 11 | 335 | 113 | — | — | — | — | — | — |
| 2020 | 27 | MLB MLE | San Francisco Giants | — | 104 | 85 | 24 | 2 | 1 | 5 | 16 | 22 | 2 | 8 | 1 | 282 | 408 | 506 | 914 | 224 | 328 | 21 | 15 | 411 | 164 | — | — | — | — | — | — |
| 2021 | 28 | MLB MLE | San Francisco Giants | — | 306 | 273 | 68 | 12 | 1 | 13 | 26 | 84 | 4 | 15 | 2 | 249 | 320 | 443 | 763 | 194 | 303 | 27 | 8 | 336 | 113 | — | — | — | — | — | — |
| 2022 | 29 | MLB MLE | San Francisco Giants | — | 325 | 276 | 75 | 15 | 2 | 8 | 40 | 89 | 6 | 12 | 1 | 272 | 375 | 428 | 802 | 156 | 361 | 27 | 12 | 355 | 127 | — | — | — | — | — | — |
| 2023 | 30 | MLB MLE | 2 teams | — | 231 | 205 | 57 | 10 | 0 | 6 | 22 | 66 | 2 | 3 | 2 | 278 | 351 | 415 | 765 | 137 | 372 | 29 | 10 | 342 | 118 | — | — | — | — | — | — |
| 2024 | 31 | MLB MLE | 2 teams | — | 230 | 196 | 40 | 4 | 0 | 3 | 27 | 64 | 5 | 4 | 2 | 204 | 319 | 270 | 589 | 66 | 288 | 28 | 12 | 273 | 71 | — | — | — | — | — | — |
| 2025 | 32 | MLB MLE | 2 teams | — | 195 | 177 | 40 | 7 | 1 | 5 | 16 | 60 | 0 | 1 | 0 | 226 | 289 | 362 | 650 | 136 | 302 | 31 | 8 | 282 | 77 | — | — | — | — | — | — |
| 2026 | 33 | AAA MLE | 2 teams | — | 268 | 241 | 56 | 11 | 0 | 2 | 25 | 82 | 0 | 7 | 1 | 232 | 303 | 303 | 606 | 71 | 345 | 31 | 9 | 277 | 74 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 31 | MLB MLE | 2 teams | — | 230 | 196 | 40 | 4 | 0 | 3 | 27 | 64 | 5 | 4 | 2 | 204 | 319 | 270 | 589 | 66 | 288 | 28 | 12 | 273 | 71 | — | — | — | — | — | — |
| 2025 | 32 | MLB MLE | 2 teams | — | 195 | 177 | 40 | 7 | 1 | 5 | 16 | 60 | 0 | 1 | 0 | 226 | 289 | 362 | 650 | 136 | 302 | 31 | 8 | 282 | 77 | — | — | — | — | — | — |
| 2026 | 33 | AAA MLE | 2 teams | — | 268 | 241 | 56 | 11 | 0 | 2 | 25 | 82 | 0 | 7 | 1 | 232 | 303 | 303 | 606 | 71 | 345 | 31 | 9 | 277 | 74 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 34 | MLB MLE | TB | 10% | 251 | 224 | 54 | 10 | 1 | 5 | 24 | 70 | 1 | 5 | 1 | 237 | 314 | 349 | 664 | 113 | 319 | 28 | 10 | 300 | 89 | -3 | +1 | +1 | -3 | +5 | 0.1 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 34 | MLB CTX | TB | 10% | 16 | 14 | 3 | 1 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 239 | 316 | 349 | 666 | 111 | 322 | 25 | 12 | 301 | 89 | -0 | +0 | +0 | -0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 35 | MLB MLE | TB | 100% | 121 | 108 | 24 | 4 | 0 | 2 | 11 | 35 | 1 | 1 | 0 | 225 | 302 | 325 | 627 | 100 | 308 | 29 | 9 | 285 | 79 | -3 | +0 | -5 | -1 | +3 | -0.7 |
| 2028 | 35 | MLB CTX | TB | 100% | 121 | 108 | 24 | 4 | 0 | 2 | 11 | 35 | 1 | 1 | 0 | 227 | 304 | 325 | 629 | 98 | 311 | 29 | 9 | 286 | 79 | -3 | +0 | -5 | -1 | +3 | -0.7 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 2053 | 1803 | 444 | 73 | 10 | 47 | 210 | 577 | 29 | 54 | 8 | 246 | 334 | 376 | 711 | 130 | 334 | 28 | 10 | 322 | 102 | +9 | +8 | -10 | -20 | +44 | 3.1 | |
| / 162G | — | A+C | — | 650 | 571 | 140 | 23 | 3 | 15 | 66 | 183 | 9 | 17 | 3 | 245 | 333 | 375 | 708 | 130 | 332 | 28 | 10 | 322 | 102 | +3 | +2 | -3 | -6 | +14 | 1.0 | |
| Career | — | MLE | — | 4218 | 3776 | 980 | 178 | 15 | 91 | 361 | 1141 | 53 | 96 | 29 | 260 | 333 | 387 | 720 | 127 | 346 | 27 | 9 | 320 | 102 | +7 | +8 | -9 | -22 | +48 | 3.2 | |
| / 162G | — | MLE | — | 650 | 582 | 150 | 27 | 2 | 14 | 56 | 176 | 8 | 15 | 4 | 258 | 332 | 383 | 715 | 125 | 343 | 27 | 9 | 320 | 102 | +2 | +2 | -3 | -6 | +14 | 0.9 | |
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.
2026 AAADurham Bulls · 194 PAwOBA .347 → .279 (−68)K% 26.3% → 31.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.29% | ÷1.000 | ×1.200 | — | — | 31.55% |
| BB% (unintentional) /PA | 13.92% | ÷1.000 | ×0.690 | — | ×0.940 | 9.03% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.940 | 0.00% |
| Singles /BIP | 29.57% | ÷1.000 | ×0.930 | ×1.050 | ×0.940 | 27.14% |
| Doubles /BIP | 8.70% | ÷1.000 | ×0.830 | ×1.050 | ×0.940 | 7.12% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | ×1.050 | ×0.940 | 0.00% |
| Home runs /BIP | 2.61% | ÷1.000 | ×0.700 | — | ×0.940 | 1.72% |
Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .347 → .279; ISO .114 → .085; BABIP .393 → .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).
2025 AAAScranton/Wilkes-Barre RailRiders · 35 PAwOBA .369 → .290 (−80)K% 20.0% → 24.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷0.979 | ×1.200 | — | — | 24.53% |
| BB% (unintentional) /PA | 22.86% | ÷1.078 | ×0.690 | — | ×0.942 | 13.78% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.942 | 0.00% |
| Singles /BIP | 35.00% | ÷1.008 | ×0.930 | — | ×0.942 | 30.41% |
| Doubles /BIP | 5.00% | ÷1.020 | ×0.830 | — | ×0.942 | 3.83% |
| Triples /BIP | 0.00% | ÷0.944 | ×0.970 | — | ×0.942 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.070 | ×0.700 | — | ×0.942 | 0.00% |
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 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).
Result: wOBA .369 → .290; ISO .037 → .031; BABIP .400 → .342. 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 AAASacramento River Cats · 18 PAwOBA .296 → .230 (−67)K% 22.2% → 24.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.22% | ÷1.081 | ×1.200 | — | — | 24.67% |
| BB% (unintentional) /PA | 5.56% | ÷1.032 | ×0.690 | — | ×0.952 | 3.54% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.952 | 0.00% |
| Singles /BIP | 23.08% | ÷0.976 | ×0.930 | — | ×0.952 | 20.93% |
| Doubles /BIP | 0.00% | ÷1.052 | ×0.830 | — | ×0.952 | 0.00% |
| Triples /BIP | 0.00% | ÷1.091 | ×0.970 | — | ×0.952 | 0.00% |
| Home runs /BIP | 7.69% | ÷1.010 | ×0.700 | — | ×0.952 | 5.07% |
Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 95, 2B 110, 3B 118, K 116, BB 106 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).
Result: wOBA .296 → .230; ISO .176 → .116; BABIP .250 → .221. 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 AAASacramento River Cats · 24 PAwOBA .405 → .323 (−82)K% 29.2% → 32.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.17% | ÷1.087 | ×1.200 | — | — | 32.20% |
| BB% (unintentional) /PA | 12.50% | ÷0.981 | ×0.690 | — | ×0.962 | 8.46% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.962 | 0.00% |
| Singles /BIP | 35.71% | ÷0.992 | ×0.930 | — | ×0.962 | 32.20% |
| Doubles /BIP | 7.14% | ÷0.992 | ×0.830 | — | ×0.962 | 5.75% |
| Triples /BIP | 0.00% | ÷0.956 | ×0.970 | — | ×0.962 | 0.00% |
| Home runs /BIP | 7.14% | ÷1.057 | ×0.700 | — | ×0.962 | 4.55% |
Factors used: league row International League. Park (home-season share, regressed): HR 111, 1B 98, 2B 98, 3B 91, K 117, BB 96 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).
Result: wOBA .405 → .323; ISO .190 → .132; BABIP .462 → .398. 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 AAASacramento River Cats · 296 PAwOBA .416 → .333 (−83)K% 23.3% → 31.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.31% | ÷0.971 | ×1.290 | — | — | 30.96% |
| BB% (unintentional) /PA | 15.20% | ÷0.980 | ×0.710 | — | ×1.003 | 11.04% |
| HBP% /PA | 3.04% | — | ×0.980 | — | ×1.003 | 2.99% |
| Singles /BIP | 26.32% | ÷0.982 | ×0.900 | ×1.006 | ×1.003 | 24.32% |
| Doubles /BIP | 9.94% | ÷0.981 | ×0.810 | ×1.006 | ×1.003 | 8.28% |
| Triples /BIP | 0.00% | ÷1.008 | ×0.810 | ×1.006 | ×1.003 | 0.00% |
| Home runs /BIP | 7.02% | ÷1.027 | ×0.780 | — | ×1.003 | 5.35% |
Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 96, 2B 96, 3B 102, K 94, BB 96 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.
Result: wOBA .416 → .333; ISO .221 → .165; BABIP .388 → .342. 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 AAASacramento River Cats · 223 PAwOBA .420 → .380 (−40)K% 17.5% → 21.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.49% | ÷1.071 | ×1.290 | — | — | 21.06% |
| BB% (unintentional) /PA | 9.42% | ÷1.043 | ×0.710 | — | ×1.018 | 6.53% |
| HBP% /PA | 2.24% | — | ×0.980 | — | ×1.018 | 2.24% |
| Singles /BIP | 23.08% | ÷0.963 | ×0.900 | ×1.045 | ×1.018 | 22.94% |
| Doubles /BIP | 15.38% | ÷0.910 | ×0.810 | ×1.045 | ×1.018 | 14.56% |
| Triples /BIP | 1.28% | ÷1.150 | ×0.810 | ×1.045 | ×1.018 | 0.96% |
| Home runs /BIP | 3.21% | ÷0.998 | ×0.780 | — | ×1.018 | 2.55% |
Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — 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 ×1.045.
Result: wOBA .420 → .380; ISO .221 → .194; BABIP .405 → .390. 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 AAASacramento River Cats · 206 PAwOBA .365 → .324 (−41)K% 18.9% → 24.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.93% | ÷0.989 | ×1.290 | — | — | 24.69% |
| BB% (unintentional) /PA | 7.28% | ÷0.952 | ×0.710 | — | ×1.033 | 5.61% |
| HBP% /PA | 1.46% | — | ×0.980 | — | ×1.033 | 1.47% |
| Singles /BIP | 28.97% | ÷1.027 | ×0.900 | ×1.050 | ×1.033 | 27.53% |
| Doubles /BIP | 8.28% | ÷0.975 | ×0.810 | ×1.050 | ×1.033 | 7.46% |
| Triples /BIP | 0.00% | ÷0.920 | ×0.810 | ×1.050 | ×1.033 | 0.00% |
| Home runs /BIP | 3.45% | ÷0.889 | ×0.780 | — | ×1.033 | 3.12% |
Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — 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 ×1.050.
Result: wOBA .365 → .324; ISO .147 → .129; BABIP .380 → .356. 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 AAASacramento River Cats · 278 PAwOBA .380 → .330 (−50)K% 19.1% → 23.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.06% | ÷1.034 | ×1.290 | — | — | 23.78% |
| BB% (unintentional) /PA | 11.51% | ÷1.052 | ×0.710 | — | ×1.048 | 8.14% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.048 | 0.00% |
| Singles /BIP | 25.00% | ÷0.960 | ×0.900 | ×1.050 | ×1.048 | 25.79% |
| Doubles /BIP | 6.25% | ÷0.973 | ×0.810 | ×1.050 | ×1.048 | 5.73% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | ×1.050 | ×1.048 | 0.00% |
| Home runs /BIP | 6.77% | ÷1.082 | ×0.780 | — | ×1.048 | 5.11% |
Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — 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 ×1.050.
Result: wOBA .380 → .330; ISO .208 → .163; BABIP .335 → .332. 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).