Brian Anderson
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | 29 | AAAMIA | 28 | .231/.286/.538 | 2 | 0 | 48 | — | .185/.214/.370 | |
| 2022 | 29 | MLBMIA | 383 | .222/.312/.346 | 8 | 1 | 93 | 0.3 | ||
| 2023 | 30 | MLBMIL | 361 | .226/.313/.368 | 9 | 1 | 94 | 0.5 | ||
| 2024 | 31 | AAAATL | 347 | .237/.331/.365 | 9 | 0 | 55 | — | .199/.267/.285 | |
| 2025 | 32 | No MLB games played | ||||||||
| 2026 | 33 | No MLB games played | ||||||||
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 | A | Greensboro Grasshoppers | — | 172 | 153 | 48 | 7 | 0 | 8 | 13 | 28 | 4 | 0 | 0 | 314 | 382 | 516 | 899 | 203 | 336 | 16 | 8 | 392 | 98 | — | — | — | — | — | — |
| 2015 | 22 | A+ | Jupiter Hammerheads | — | 530 | 477 | 112 | 22 | 2 | 8 | 40 | 109 | 9 | 2 | 2 | 235 | 306 | 340 | 646 | 105 | 287 | 21 | 8 | 293 | 51 | — | — | — | — | — | — |
| 2015 | 22 | INTL | Mesa Solar Sox | — | 27 | 26 | 3 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 115 | 115 | 115 | 231 | 150 | 26 | 0 | 101 | -46 | — | — | — | — | — | — | |
| 2016 | 23 | AA | Jacksonville Suns | — | 345 | 301 | 73 | 9 | 1 | 8 | 36 | 59 | 5 | 0 | 0 | 243 | 333 | 359 | 692 | 116 | 274 | 17 | 10 | 314 | 55 | — | — | — | — | — | — |
| 2016 | 23 | A+ | Jupiter Hammerheads | — | 207 | 182 | 55 | 12 | 2 | 3 | 22 | 38 | 1 | 3 | 0 | 302 | 380 | 440 | 820 | 137 | 364 | 18 | 11 | 364 | 88 | — | — | — | — | — | — |
| 2016 | 23 | INTL | Mesa Solar Sox | — | 89 | 77 | 21 | 3 | 0 | 5 | 9 | 9 | 2 | 0 | 0 | 273 | 364 | 506 | 870 | 234 | 250 | 10 | 10 | 379 | 143 | — | — | — | — | — | — |
| 2017 | 24 | MLB | Miami Marlins | — | 95 | 84 | 22 | 7 | 1 | 0 | 10 | 28 | 0 | 0 | 0 | 262 | 340 | 369 | 709 | 107 | 386 | 29 | 11 | 318 | 110 | +1 | +0 | -2 | +2 | +2 | 0.3 |
| 2017 | 24 | AAA | New Orleans Baby Cakes | — | 137 | 118 | 40 | 7 | 0 | 8 | 12 | 27 | 5 | 0 | 1 | 339 | 422 | 602 | 1.024 | 263 | 376 | 20 | 9 | 440 | 148 | — | — | — | — | — | — |
| 2017 | 24 | AA | Jacksonville Jumbo Shrimp | — | 361 | 311 | 78 | 14 | 3 | 14 | 36 | 71 | 9 | 1 | 1 | 251 | 346 | 450 | 796 | 199 | 277 | 20 | 10 | 350 | 74 | — | — | — | — | — | — |
| 2018 | 25 | MLB | Miami Marlins | — | 670 | 590 | 161 | 34 | 4 | 11 | 62 | 129 | 16 | 2 | 4 | 273 | 358 | 400 | 758 | 127 | 332 | 19 | 9 | 342 | 124 | +19 | -1 | -2 | -7 | +15 | 2.3 |
| 2019 | 26 | MLB | Miami Marlins | — | 520 | 459 | 120 | 33 | 1 | 20 | 44 | 114 | 14 | 5 | 1 | 261 | 344 | 468 | 813 | 207 | 305 | 22 | 8 | 358 | 137 | +23 | +1 | +1 | +2 | +11 | 3.9 |
| 2020 | 27 | MLB | Miami Marlins | — | 229 | 200 | 51 | 7 | 1 | 11 | 22 | 66 | 6 | 0 | 0 | 255 | 346 | 465 | 811 | 210 | 323 | 29 | 10 | 359 | 135 | +9 | +0 | +4 | +1 | +5 | 2.0 |
| 2021 | 28 | MLB | Miami Marlins | — | 264 | 233 | 58 | 9 | 0 | 7 | 26 | 65 | 5 | 5 | 0 | 249 | 337 | 378 | 715 | 129 | 317 | 25 | 10 | 326 | 109 | +3 | +1 | +1 | +1 | +6 | 1.2 |
| 2021 | 28 | AAA | Jacksonville Jumbo Shrimp | — | 15 | 13 | 1 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 0 | 77 | 143 | 77 | 220 | 125 | 40 | 0 | 109 | -42 | — | — | — | — | — | — | |
| 2022 | 29 | MLB | Miami Marlins | — | 383 | 338 | 75 | 16 | 1 | 8 | 37 | 101 | 7 | 1 | 0 | 222 | 312 | 346 | 658 | 124 | 291 | 26 | 10 | 300 | 93 | -3 | +0 | -4 | +1 | +8 | 0.3 |
| 2022 | 29 | AAA | Jacksonville Jumbo Shrimp | — | 28 | 26 | 6 | 2 | 0 | 2 | 2 | 10 | 0 | 0 | 0 | 231 | 286 | 538 | 824 | 308 | 286 | 36 | 7 | 355 | 48 | — | — | — | — | — | — |
| 2023 | 30 | MLB | Milwaukee Brewers | — | 361 | 318 | 72 | 12 | 3 | 9 | 36 | 108 | 4 | 1 | 3 | 226 | 313 | 368 | 681 | 142 | 309 | 30 | 10 | 306 | 94 | -2 | -1 | -0 | +1 | +8 | 0.5 |
| 2024 | 31 | AAA | Gwinnett Stripers | — | 347 | 299 | 71 | 11 | 0 | 9 | 38 | 93 | 4 | 0 | 0 | 237 | 331 | 365 | 696 | 127 | 305 | 27 | 11 | 313 | 55 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 2522 | 2222 | 559 | 118 | 11 | 66 | 237 | 611 | 52 | 14 | 8 | 252 | 338 | 404 | 741 | 152 | 317 | 24 | 9 | 333 | 111 | +34 | -0 | -1 | +1 | +55 | 9.0 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 21 | A MLE | Greensboro Grasshoppers | — | 172 | 157 | 42 | 6 | 0 | 5 | 9 | 38 | 4 | 0 | 0 | 268 | 324 | 401 | 725 | 134 | 310 | 22 | 5 | 313 | 98 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | Jupiter Hammerheads | — | 530 | 488 | 96 | 18 | 2 | 8 | 29 | 153 | 9 | 2 | 2 | 197 | 255 | 291 | 546 | 94 | 264 | 29 | 5 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | Jacksonville Suns | — | 345 | 313 | 64 | 8 | 1 | 5 | 24 | 73 | 5 | 0 | 0 | 204 | 272 | 284 | 556 | 80 | 247 | 21 | 7 | 250 | 55 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Jupiter Hammerheads | — | 207 | 186 | 46 | 10 | 2 | 3 | 18 | 55 | 1 | 3 | 0 | 247 | 317 | 371 | 688 | 124 | 326 | 27 | 9 | 299 | 88 | — | — | — | — | — | — |
| 2017 | 24 | MLB MLE | Miami Marlins | — | 95 | 84 | 23 | 8 | 1 | 0 | 10 | 28 | 0 | 0 | 0 | 274 | 351 | 393 | 744 | 119 | 386 | 29 | 11 | 330 | 110 | +1 | +0 | -2 | +2 | +2 | 0.3 |
| 2017 | 24 | AAA MLE | New Orleans Baby Cakes | — | 137 | 122 | 38 | 7 | 0 | 7 | 8 | 36 | 5 | 0 | 1 | 311 | 378 | 541 | 919 | 230 | 363 | 26 | 6 | 387 | 148 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Jacksonville Jumbo Shrimp | — | 361 | 323 | 69 | 13 | 3 | 10 | 24 | 88 | 9 | 1 | 1 | 214 | 287 | 365 | 652 | 152 | 246 | 24 | 7 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 25 | MLB MLE | Miami Marlins | — | 670 | 592 | 167 | 37 | 4 | 12 | 60 | 129 | 16 | 2 | 4 | 282 | 364 | 419 | 783 | 137 | 332 | 19 | 9 | 351 | 124 | +19 | -1 | -2 | -7 | +15 | 2.3 |
| 2019 | 26 | MLB MLE | Miami Marlins | — | 520 | 460 | 125 | 36 | 1 | 21 | 43 | 114 | 14 | 5 | 1 | 272 | 352 | 491 | 843 | 220 | 305 | 22 | 8 | 371 | 137 | +23 | +1 | +1 | +2 | +11 | 3.9 |
| 2020 | 27 | MLB MLE | Miami Marlins | — | 229 | 201 | 53 | 8 | 1 | 12 | 21 | 66 | 6 | 0 | 0 | 264 | 351 | 493 | 843 | 229 | 323 | 29 | 9 | 367 | 135 | +9 | +0 | +4 | +1 | +5 | 2.0 |
| 2021 | 28 | MLB MLE | Miami Marlins | — | 264 | 235 | 60 | 10 | 0 | 7 | 24 | 65 | 5 | 5 | 0 | 255 | 337 | 387 | 724 | 132 | 317 | 25 | 9 | 329 | 109 | +3 | +1 | +1 | +1 | +6 | 1.2 |
| 2021 | 28 | AAA MLE | Jacksonville Jumbo Shrimp | — | 15 | 13 | 1 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 0 | 77 | 143 | 77 | 220 | 118 | 47 | 0 | 106 | -42 | — | — | — | — | — | — | |
| 2022 | 29 | MLB MLE | Miami Marlins | — | 383 | 340 | 77 | 17 | 1 | 8 | 35 | 101 | 7 | 1 | 0 | 226 | 312 | 353 | 664 | 126 | 291 | 26 | 9 | 306 | 93 | -3 | +0 | -4 | +1 | +8 | 0.3 |
| 2022 | 29 | AAA MLE | Jacksonville Jumbo Shrimp | — | 28 | 27 | 5 | 2 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 185 | 214 | 370 | 585 | 185 | 242 | 43 | 4 | 239 | 48 | — | — | — | — | — | — |
| 2023 | 30 | MLB MLE | Milwaukee Brewers | — | 361 | 318 | 73 | 13 | 3 | 9 | 36 | 108 | 4 | 1 | 3 | 230 | 316 | 374 | 690 | 145 | 309 | 30 | 10 | 307 | 94 | -2 | -1 | -0 | +1 | +8 | 0.5 |
| 2024 | 31 | AAA MLE | Gwinnett Stripers | — | 347 | 312 | 62 | 9 | 0 | 6 | 25 | 117 | 4 | 0 | 0 | 199 | 267 | 285 | 552 | 87 | 278 | 34 | 7 | 249 | 55 | — | — | — | — | — | — |
| 2014 | 21 | A MLE | Greensboro Grasshoppers | — | 172 | 157 | 42 | 6 | 0 | 5 | 9 | 38 | 4 | 0 | 0 | 268 | 324 | 401 | 725 | 134 | 319 | 22 | 5 | 313 | 98 | — | — | — | — | — | — |
| 2014 | 21 | A RAW | Greensboro Grasshoppers | — | 172 | 153 | 48 | 7 | 0 | 8 | 13 | 28 | 4 | 0 | 0 | 314 | 382 | 516 | 899 | 203 | 336 | 16 | 8 | 392 | 98 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | 2 teams | — | 557 | 512 | 101 | 19 | 2 | 8 | 31 | 160 | 9 | 2 | 2 | 197 | 255 | 289 | 544 | 92 | 267 | 29 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2015 | 22 | A+ RAW | 2 teams | — | 557 | 503 | 115 | 22 | 2 | 8 | 40 | 116 | 9 | 2 | 2 | 229 | 297 | 328 | 625 | 99 | 279 | 21 | 7 | 283 | 51 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | 3 teams | — | 641 | 578 | 128 | 22 | 3 | 8 | 49 | 148 | 8 | 3 | 0 | 221 | 291 | 311 | 603 | 90 | 280 | 23 | 8 | 268 | 68 | — | — | — | — | — | — |
| 2016 | 23 | AA RAW | 3 teams | — | 641 | 560 | 149 | 24 | 3 | 16 | 67 | 106 | 8 | 3 | 0 | 266 | 353 | 405 | 758 | 139 | 300 | 17 | 10 | 339 | 68 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | 3 teams | — | 593 | 529 | 127 | 27 | 4 | 16 | 42 | 152 | 14 | 1 | 2 | 240 | 313 | 397 | 710 | 157 | 301 | 26 | 7 | 312 | 97 | — | — | — | — | — | — |
| 2017 | 24 | AA RAW | 3 teams | — | 593 | 513 | 140 | 28 | 4 | 22 | 58 | 126 | 14 | 1 | 2 | 273 | 362 | 472 | 834 | 199 | 316 | 21 | 10 | 366 | 97 | — | — | — | — | — | — |
| 2018 | 25 | MLB MLE | Miami Marlins | — | 670 | 592 | 167 | 37 | 4 | 12 | 60 | 129 | 16 | 2 | 4 | 282 | 364 | 419 | 783 | 137 | 342 | 19 | 9 | 351 | 124 | +19 | -1 | -2 | -7 | +15 | 2.3 |
| 2018 | 25 | MLB RAW | Miami Marlins | — | 670 | 590 | 161 | 34 | 4 | 11 | 62 | 129 | 16 | 2 | 4 | 273 | 358 | 400 | 758 | 127 | 332 | 19 | 9 | 342 | 124 | +19 | -1 | -2 | -7 | +15 | 2.3 |
| 2019 | 26 | MLB MLE | Miami Marlins | — | 520 | 460 | 125 | 36 | 1 | 21 | 43 | 114 | 14 | 5 | 1 | 272 | 352 | 491 | 843 | 220 | 317 | 22 | 8 | 371 | 137 | +23 | +1 | +1 | +2 | +11 | 3.9 |
| 2019 | 26 | MLB RAW | Miami Marlins | — | 520 | 459 | 120 | 33 | 1 | 20 | 44 | 114 | 14 | 5 | 1 | 261 | 344 | 468 | 813 | 207 | 305 | 22 | 8 | 358 | 137 | +23 | +1 | +1 | +2 | +11 | 3.9 |
| 2020 | 27 | MLB MLE | Miami Marlins | — | 229 | 201 | 53 | 8 | 1 | 12 | 21 | 66 | 6 | 0 | 0 | 264 | 351 | 493 | 843 | 229 | 331 | 29 | 9 | 367 | 135 | +9 | +0 | +4 | +1 | +5 | 2.0 |
| 2020 | 27 | MLB RAW | Miami Marlins | — | 229 | 200 | 51 | 7 | 1 | 11 | 22 | 66 | 6 | 0 | 0 | 255 | 346 | 465 | 811 | 210 | 323 | 29 | 10 | 359 | 135 | +9 | +0 | +4 | +1 | +5 | 2.0 |
| 2021 | 28 | MLB MLE | 2 teams | — | 279 | 248 | 61 | 10 | 0 | 7 | 24 | 72 | 6 | 5 | 0 | 246 | 327 | 371 | 698 | 125 | 318 | 26 | 9 | 317 | 101 | +0 | +1 | +1 | +1 | +6 | 1.0 |
| 2021 | 28 | MLB RAW | 2 teams | — | 279 | 246 | 59 | 9 | 0 | 7 | 26 | 71 | 6 | 5 | 0 | 240 | 327 | 362 | 689 | 122 | 308 | 25 | 9 | 314 | 101 | +0 | +1 | +1 | +1 | +6 | 1.0 |
| 2022 | 29 | MLB MLE | 2 teams | — | 411 | 367 | 82 | 19 | 1 | 10 | 36 | 113 | 7 | 1 | 0 | 223 | 305 | 362 | 667 | 139 | 294 | 27 | 9 | 301 | 90 | -5 | +0 | -4 | +1 | +9 | 0.2 |
| 2022 | 29 | MLB RAW | 2 teams | — | 411 | 364 | 81 | 18 | 1 | 10 | 39 | 111 | 7 | 1 | 0 | 223 | 310 | 360 | 670 | 137 | 291 | 27 | 9 | 304 | 90 | -5 | +0 | -4 | +1 | +9 | 0.2 |
| 2023 | 30 | MLB MLE | Milwaukee Brewers | — | 361 | 318 | 73 | 13 | 3 | 9 | 36 | 108 | 4 | 1 | 3 | 230 | 316 | 374 | 690 | 145 | 314 | 30 | 10 | 307 | 94 | -2 | -1 | -0 | +1 | +8 | 0.5 |
| 2023 | 30 | MLB RAW | Milwaukee Brewers | — | 361 | 318 | 72 | 12 | 3 | 9 | 36 | 108 | 4 | 1 | 3 | 226 | 313 | 368 | 681 | 142 | 309 | 30 | 10 | 306 | 94 | -2 | -1 | -0 | +1 | +8 | 0.5 |
| 2024 | 31 | AAA MLE | Gwinnett Stripers | — | 347 | 312 | 62 | 9 | 0 | 6 | 25 | 117 | 4 | 0 | 0 | 199 | 267 | 285 | 552 | 87 | 287 | 34 | 7 | 249 | 55 | — | — | — | — | — | — |
| 2024 | 31 | AAA RAW | Gwinnett Stripers | — | 347 | 299 | 71 | 11 | 0 | 9 | 38 | 93 | 4 | 0 | 0 | 237 | 331 | 365 | 696 | 127 | 305 | 27 | 11 | 313 | 55 | — | — | — | — | — | — |
| 2014 | 21 | A MLE | Greensboro Grasshoppers | — | 172 | 157 | 42 | 6 | 0 | 5 | 9 | 38 | 4 | 0 | 0 | 268 | 324 | 401 | 725 | 134 | 310 | 22 | 5 | 313 | 98 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | 2 teams | — | 557 | 512 | 101 | 19 | 2 | 8 | 31 | 160 | 9 | 2 | 2 | 197 | 255 | 289 | 544 | 92 | 264 | 29 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | 3 teams | — | 641 | 579 | 128 | 22 | 3 | 8 | 49 | 148 | 8 | 3 | 0 | 221 | 291 | 311 | 602 | 90 | 277 | 23 | 8 | 268 | 68 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | 3 teams | — | 593 | 532 | 127 | 27 | 4 | 16 | 42 | 152 | 14 | 1 | 2 | 239 | 313 | 395 | 708 | 156 | 295 | 26 | 7 | 312 | 97 | — | — | — | — | — | — |
| 2018 | 25 | MLB MLE | Miami Marlins | — | 670 | 589 | 167 | 37 | 4 | 12 | 60 | 129 | 16 | 2 | 4 | 284 | 364 | 421 | 785 | 138 | 332 | 19 | 9 | 351 | 124 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | Miami Marlins | — | 520 | 458 | 125 | 36 | 1 | 21 | 43 | 114 | 14 | 5 | 1 | 273 | 352 | 493 | 845 | 221 | 305 | 22 | 8 | 371 | 137 | — | — | — | — | — | — |
| 2020 | 27 | MLB MLE | Miami Marlins | — | 229 | 200 | 53 | 8 | 1 | 12 | 21 | 66 | 6 | 0 | 0 | 265 | 351 | 495 | 846 | 230 | 323 | 29 | 9 | 367 | 135 | — | — | — | — | — | — |
| 2021 | 28 | MLB MLE | 2 teams | — | 279 | 247 | 61 | 10 | 0 | 7 | 24 | 72 | 6 | 5 | 0 | 247 | 327 | 372 | 700 | 126 | 306 | 26 | 9 | 317 | 101 | — | — | — | — | — | — |
| 2022 | 29 | MLB MLE | 2 teams | — | 411 | 365 | 82 | 19 | 1 | 10 | 36 | 113 | 7 | 1 | 0 | 225 | 305 | 364 | 669 | 140 | 288 | 27 | 9 | 301 | 90 | — | — | — | — | — | — |
| 2023 | 30 | MLB MLE | Milwaukee Brewers | — | 361 | 318 | 73 | 13 | 3 | 9 | 36 | 108 | 4 | 1 | 3 | 230 | 316 | 374 | 690 | 145 | 309 | 30 | 10 | 307 | 94 | — | — | — | — | — | — |
| 2024 | 31 | AAA MLE | Gwinnett Stripers | — | 347 | 315 | 62 | 9 | 0 | 6 | 25 | 117 | 4 | 0 | 0 | 197 | 267 | 283 | 549 | 86 | 278 | 34 | 7 | 249 | 55 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 31 | AAA MLE | Gwinnett Stripers | — | 347 | 315 | 62 | 9 | 0 | 6 | 25 | 117 | 4 | 0 | 0 | 197 | 267 | 283 | 549 | 86 | 278 | 34 | 7 | 249 | 55 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 2522 | 2222 | 559 | 118 | 11 | 66 | 237 | 611 | 52 | 14 | 8 | 252 | 338 | 404 | 741 | 152 | 317 | 24 | 9 | 333 | 94 | +34 | -0 | -1 | +1 | +55 | 9.0 | |
| / 162G | — | A+C | — | 650 | 573 | 144 | 30 | 3 | 17 | 61 | 157 | 13 | 4 | 2 | 251 | 337 | 403 | 740 | 152 | 316 | 24 | 9 | 333 | 94 | +9 | -0 | -0 | +0 | +14 | 2.3 | |
| Career | — | MLE | — | 4780 | 4274 | 1021 | 206 | 19 | 114 | 376 | 1217 | 92 | 20 | 12 | 239 | 314 | 376 | 690 | 137 | 304 | 25 | 8 | 307 | 94 | +34 | -0 | -1 | +1 | +55 | 9.0 | |
| / 162G | — | MLE | — | 650 | 581 | 140 | 28 | 3 | 16 | 51 | 165 | 13 | 3 | 2 | 241 | 316 | 382 | 698 | 141 | 306 | 25 | 8 | 307 | 94 | +9 | -0 | -0 | +0 | +14 | 2.3 | |
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.
2024 AAAGwinnett Stripers · 347 PAwOBA .310 → .249 (−61)K% 26.8% → 33.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.80% | ÷0.958 | ×1.200 | — | — | 33.56% |
| BB% (unintentional) /PA | 10.95% | ÷1.001 | ×0.690 | — | ×0.962 | 7.26% |
| HBP% /PA | 1.15% | — | ×0.940 | — | ×0.962 | 1.04% |
| Singles /BIP | 24.76% | ÷0.977 | ×0.930 | ×1.026 | ×0.962 | 23.26% |
| Doubles /BIP | 5.34% | ÷0.961 | ×0.830 | ×1.026 | ×0.962 | 4.55% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×1.026 | ×0.962 | 0.00% |
| Home runs /BIP | 4.37% | ÷0.968 | ×0.700 | — | ×0.962 | 3.04% |
Factors used: league row International League. Park (home-season share, regressed): HR 94, 1B 95, 2B 92, 3B 130, K 92, BB 100 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.
Result: wOBA .310 → .249; ISO .127 → .092; BABIP .305 → .278. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2022 AAAJacksonville Jumbo Shrimp · 28 PAwOBA .344 → .239 (−106)K% 35.7% → 44.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 35.71% | ÷0.966 | ×1.200 | — | — | 44.38% |
| BB% (unintentional) /PA | 7.14% | ÷0.978 | ×0.690 | — | ×0.982 | 4.95% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.982 | 0.00% |
| Singles /BIP | 12.50% | ÷1.054 | ×0.930 | — | ×0.982 | 10.83% |
| Doubles /BIP | 12.50% | ÷0.898 | ×0.830 | — | ×0.982 | 11.35% |
| Triples /BIP | 0.00% | ÷0.930 | ×0.970 | — | ×0.982 | 0.00% |
| Home runs /BIP | 12.50% | ÷1.032 | ×0.700 | — | ×0.982 | 8.33% |
Factors used: league row International League. Park (home-season share, regressed): HR 106, 1B 111, 2B 80, 3B 86, K 93, BB 96 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).
Result: wOBA .344 → .239; ISO .308 → .198; BABIP .286 → .242. 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 AAAJacksonville Jumbo Shrimp · 15 PAwOBA .114 → .106 (−9)K% 40.0% → 48.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 40.00% | ÷0.985 | ×1.200 | — | — | 48.74% |
| BB% (unintentional) /PA | 0.00% | ÷0.994 | ×0.690 | — | ×0.992 | 0.00% |
| HBP% /PA | 6.67% | — | ×0.940 | — | ×0.992 | 6.22% |
| Singles /BIP | 14.29% | ÷0.971 | ×0.930 | — | ×0.992 | 13.57% |
| Doubles /BIP | 0.00% | ÷0.933 | ×0.830 | — | ×0.992 | 0.00% |
| Triples /BIP | 0.00% | ÷1.109 | ×0.920 | — | ×0.992 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.886 | ×0.700 | — | ×0.992 | 0.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 77, 1B 94, 2B 87, 3B 122, K 97, BB 99 — 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).
Result: wOBA .114 → .106; ISO .000 → .000; BABIP .125 → .118. 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 AAJacksonville Jumbo Shrimp · 361 PAwOBA .345 → .278 (−67)K% 19.7% → 24.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.67% | ÷0.978 | ×1.220 | — | — | 24.53% |
| BB% (unintentional) /PA | 9.97% | ÷1.042 | ×0.680 | — | ×1.012 | 6.58% |
| HBP% /PA | 2.49% | — | ×0.840 | — | ×1.012 | 2.12% |
| Singles /BIP | 19.58% | ÷1.029 | ×0.920 | ×0.998 | ×1.012 | 17.67% |
| Doubles /BIP | 5.83% | ÷0.985 | ×0.910 | ×0.998 | ×1.012 | 5.44% |
| Triples /BIP | 1.25% | ÷1.070 | ×0.880 | ×0.998 | ×1.012 | 1.04% |
| Home runs /BIP | 5.83% | ÷1.185 | ×0.800 | — | ×1.012 | 3.99% |
Factors used: league row SL. Park (home-season share, regressed): HR 137, 1B 106, 2B 97, 3B 114, K 96, BB 108 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.
Result: wOBA .345 → .278; ISO .199 → .151; BABIP .277 → .246. 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 AAANew Orleans Baby Cakes · 137 PAwOBA .432 → .387 (−45)K% 19.7% → 26.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.71% | ÷0.971 | ×1.290 | — | — | 26.18% |
| BB% (unintentional) /PA | 8.03% | ÷1.005 | ×0.710 | — | ×1.048 | 5.95% |
| HBP% /PA | 3.65% | — | ×0.980 | — | ×1.048 | 3.75% |
| Singles /BIP | 27.47% | ÷1.015 | ×0.900 | ×1.050 | ×1.048 | 26.81% |
| Doubles /BIP | 7.69% | ÷0.918 | ×0.810 | ×1.050 | ×1.048 | 7.47% |
| Triples /BIP | 0.00% | ÷0.977 | ×0.810 | ×1.050 | ×1.048 | 0.00% |
| Home runs /BIP | 8.79% | ÷0.928 | ×0.780 | — | ×1.048 | 7.74% |
Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 103, 2B 84, 3B 95, K 94, BB 101 — 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 .432 → .387; ISO .263 → .229; BABIP .376 → .363. 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 AAJacksonville Suns · 345 PAwOBA .309 → .250 (−59)K% 17.1% → 21.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.10% | ÷0.986 | ×1.220 | — | — | 21.17% |
| BB% (unintentional) /PA | 10.43% | ÷1.029 | ×0.680 | — | ×1.027 | 7.08% |
| HBP% /PA | 1.45% | — | ×0.840 | — | ×1.027 | 1.25% |
| Singles /BIP | 22.73% | ÷0.993 | ×0.920 | ×0.956 | ×1.027 | 20.67% |
| Doubles /BIP | 3.72% | ÷0.957 | ×0.910 | ×0.956 | ×1.027 | 3.47% |
| Triples /BIP | 0.41% | ÷1.013 | ×0.880 | ×0.956 | ×1.027 | 0.35% |
| Home runs /BIP | 3.31% | ÷1.423 | ×0.800 | — | ×1.027 | 1.91% |
Factors used: league row SL. Park (home-season share, regressed): HR 185, 1B 99, 2B 91, 3B 103, K 97, BB 106 — 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 ×0.956.
Result: wOBA .309 → .250; ISO .116 → .080; BABIP .274 → .247. 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+Jupiter Hammerheads · 207 PAwOBA .358 → .299 (−59)K% 18.4% → 26.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.36% | ÷0.987 | ×1.420 | — | — | 26.42% |
| BB% (unintentional) /PA | 10.63% | ÷0.933 | ×0.750 | — | ×0.998 | 8.53% |
| HBP% /PA | 0.48% | — | ×0.930 | — | ×0.998 | 0.45% |
| Singles /BIP | 26.39% | ÷1.005 | ×0.920 | ×0.975 | ×0.998 | 23.51% |
| Doubles /BIP | 8.33% | ÷1.003 | ×0.960 | ×0.975 | ×0.998 | 7.76% |
| Triples /BIP | 1.39% | ÷0.900 | ×0.810 | ×0.975 | ×0.998 | 1.22% |
| Home runs /BIP | 2.08% | ÷0.918 | ×0.880 | — | ×0.998 | 1.99% |
Factors used: league row FSL. Park (home-season share, regressed): HR 84, 1B 101, 2B 101, 3B 80, K 97, BB 87 — 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 ×0.975.
Result: wOBA .358 → .299; ISO .137 → .119; BABIP .364 → .326. 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 A+Jupiter Hammerheads · 530 PAwOBA .287 → .243 (−44)K% 20.6% → 28.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.57% | ÷1.014 | ×1.420 | — | — | 28.79% |
| BB% (unintentional) /PA | 7.55% | ÷1.037 | ×0.750 | — | ×1.012 | 5.53% |
| HBP% /PA | 1.70% | — | ×0.930 | — | ×1.012 | 1.60% |
| Singles /BIP | 21.74% | ÷1.002 | ×0.920 | ×0.994 | ×1.012 | 20.07% |
| Doubles /BIP | 5.98% | ÷1.064 | ×0.960 | ×0.994 | ×1.012 | 5.43% |
| Triples /BIP | 0.54% | ÷0.900 | ×0.810 | ×0.994 | ×1.012 | 0.49% |
| Home runs /BIP | 2.17% | ÷0.819 | ×0.880 | — | ×1.012 | 2.36% |
Factors used: league row FSL. Park (home-season share, regressed): HR 64, 1B 100, 2B 113, 3B 80, K 103, BB 107 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.
Result: wOBA .287 → .243; ISO .105 → .096; BABIP .287 → .264. 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 — .