Harold Castro
2B Omaha Storm Chasers| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2023 | 29 | INTLLeones del Ca… | 148 | .315/.382/.492 | 5 | 4 | 141 | — | ||
| 2023 | 29 | MLBCOL | 270 | .252/.277/.314 | 1 | 1 | 59 | -1.0 | ||
| 2024 | 30 | INTLLeones del Ca… | 213 | .332/.394/.627 | 15 | 6 | 185 | — | ||
| 2025 | 31 | AAA/INTL2 orgs | 603 | .315/.358/.519 | 27 | 9 | 96 | — | .231/.270/.391 | |
| 2026 | 32 | No MLB games played | ||||||||
| 2027PROJ20% MLB | 33 | MLBKC | 48 | .265/.305/.436 | 2 | 1 | 110 | 0.2 | ||
| 2028PROJ16% MLB | 34 | MLBKC | 40 | .254/.293/.413 | 1 | 0 | 100 | 0.0 | ||
Tools · 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) | |||||||||||||||||||||||||||||||
| 2011 | 17 | ROK | VSL Tigers | — | 272 | 252 | 79 | 10 | 0 | 1 | 11 | 21 | 4 | 24 | 7 | 313 | 352 | 365 | 717 | 52 | 339 | 8 | 4 | 320 | 36 | — | — | — | — | — | — |
| 2012 | 18 | ROK | GCL Tigers | — | 216 | 193 | 60 | 14 | 2 | 1 | 10 | 25 | 1 | 15 | 3 | 311 | 348 | 420 | 768 | 109 | 347 | 12 | 5 | 324 | 63 | — | — | — | — | — | — |
| 2013 | 19 | A+ | Lakeland Flying Tigers | — | 80 | 73 | 20 | 2 | 1 | 0 | 5 | 22 | 0 | 3 | 2 | 274 | 321 | 329 | 649 | 55 | 385 | 28 | 6 | 288 | 50 | — | — | — | — | — | — |
| 2013 | 19 | A | West Michigan Whitecaps | — | 153 | 147 | 34 | 7 | 1 | 1 | 2 | 40 | 0 | 5 | 1 | 231 | 242 | 313 | 555 | 82 | 308 | 26 | 1 | 240 | 17 | — | — | — | — | — | — |
| 2014 | 20 | A+ | Lakeland Flying Tigers | — | 232 | 211 | 63 | 5 | 0 | 0 | 9 | 40 | 3 | 8 | 8 | 299 | 336 | 322 | 659 | 24 | 366 | 17 | 4 | 290 | 59 | — | — | — | — | — | — |
| 2014 | 20 | A | West Michigan Whitecaps | — | 83 | 72 | 18 | 5 | 0 | 0 | 5 | 7 | 1 | 3 | 2 | 250 | 308 | 319 | 627 | 69 | 273 | 8 | 6 | 270 | 50 | — | — | — | — | — | — |
| 2015 | 21 | AA | Erie SeaWolves | — | 363 | 336 | 86 | 12 | 2 | 1 | 14 | 63 | 1 | 17 | 9 | 256 | 288 | 312 | 600 | 57 | 306 | 17 | 4 | 263 | 56 | — | — | — | — | — | — |
| 2015 | 21 | INTL | Leones del Caracas | — | 49 | 44 | 13 | 3 | 0 | 1 | 2 | 5 | 0 | 1 | 0 | 295 | 326 | 432 | 758 | 136 | 316 | 10 | 4 | 316 | 100 | — | — | — | — | — | — |
| 2016 | 22 | AA | Erie SeaWolves | — | 416 | 392 | 97 | 16 | 1 | 4 | 11 | 63 | 2 | 6 | 7 | 247 | 272 | 324 | 596 | 77 | 284 | 15 | 3 | 261 | 42 | — | — | — | — | — | — |
| 2016 | 22 | INTL | Leones del Caracas | — | 143 | 131 | 37 | 7 | 3 | 0 | 6 | 30 | 0 | 0 | 0 | 282 | 314 | 382 | 696 | 99 | 359 | 21 | 4 | 297 | 87 | — | — | — | — | — | — |
| 2017 | 23 | AA | Erie SeaWolves | — | 449 | 414 | 120 | 16 | 4 | 1 | 18 | 53 | 6 | 20 | 9 | 290 | 329 | 355 | 684 | 65 | 326 | 12 | 4 | 302 | 78 | — | — | — | — | — | — |
| 2017 | 23 | A+ | Lakeland Flying Tigers | — | 33 | 33 | 12 | 2 | 1 | 0 | 0 | 3 | 0 | 2 | 0 | 364 | 364 | 485 | 848 | 121 | 400 | 9 | 0 | 374 | 100 | — | — | — | — | — | — |
| 2017 | 23 | INTL | Leones del Caracas | — | 179 | 163 | 44 | 9 | 1 | 0 | 9 | 19 | 2 | 0 | 4 | 270 | 316 | 337 | 654 | 67 | 301 | 11 | 5 | 289 | 82 | — | — | — | — | — | — |
| 2018 | 24 | AAA | Toledo Mud Hens | — | 251 | 241 | 62 | 8 | 0 | 2 | 5 | 47 | 0 | 3 | 3 | 257 | 272 | 315 | 588 | 58 | 309 | 19 | 2 | 259 | 45 | — | — | — | — | — | — |
| 2018 | 24 | AA | Erie SeaWolves | — | 116 | 110 | 31 | 5 | 0 | 0 | 4 | 21 | 1 | 2 | 1 | 282 | 313 | 327 | 640 | 45 | 344 | 18 | 3 | 289 | 65 | — | — | — | — | — | — |
| 2018 | 24 | INTL | Leones del Caracas | — | 263 | 245 | 84 | 13 | 2 | 3 | 13 | 30 | 0 | 6 | 2 | 343 | 376 | 449 | 825 | 106 | 377 | 11 | 5 | 361 | 130 | — | — | — | — | — | — |
| 2019 | 25 | MLB | Detroit Tigers | — | 369 | 354 | 103 | 10 | 4 | 5 | 9 | 86 | 0 | 4 | 2 | 291 | 309 | 384 | 693 | 93 | 367 | 23 | 2 | 304 | 95 | -2 | +0 | -5 | +2 | +8 | 0.2 |
| 2019 | 25 | AAA | Toledo Mud Hens | — | 134 | 122 | 40 | 5 | 1 | 4 | 9 | 26 | 0 | 1 | 3 | 328 | 374 | 484 | 858 | 156 | 387 | 19 | 7 | 372 | 103 | — | — | — | — | — | — |
| 2020 | 26 | MLB | Detroit Tigers | — | 54 | 49 | 17 | 4 | 0 | 0 | 5 | 11 | 0 | 0 | 0 | 347 | 407 | 429 | 836 | 82 | 447 | 20 | 9 | 378 | 145 | +3 | +0 | -1 | -1 | +1 | 0.3 |
| 2021 | 27 | MLB | Detroit Tigers | — | 339 | 315 | 89 | 13 | 1 | 3 | 14 | 72 | 1 | 1 | 1 | 283 | 315 | 359 | 674 | 76 | 351 | 21 | 4 | 296 | 89 | -4 | -0 | -8 | +4 | +7 | -0.2 |
| 2022 | 28 | MLB | Detroit Tigers | — | 443 | 420 | 114 | 21 | 2 | 7 | 17 | 79 | 1 | 0 | 1 | 271 | 301 | 381 | 682 | 110 | 318 | 18 | 4 | 301 | 92 | -4 | -0 | -11 | -10 | +10 | -1.5 |
| 2022 | 28 | INTL | Leones del Caracas | — | 103 | 99 | 37 | 1 | 0 | 0 | 2 | 12 | 2 | 2 | 2 | 374 | 398 | 384 | 782 | 10 | 425 | 12 | 2 | 357 | 127 | — | — | — | — | — | — |
| 2023 | 29 | MLB | Colorado Rockies | — | 270 | 258 | 65 | 13 | 0 | 1 | 9 | 66 | 0 | 1 | 0 | 252 | 277 | 314 | 591 | 62 | 332 | 24 | 3 | 264 | 59 | -13 | +0 | -4 | +1 | +6 | -1.0 |
| 2023 | 29 | INTL | Leones del Caracas | — | 148 | 130 | 41 | 4 | 2 | 5 | 11 | 19 | 3 | 4 | 0 | 315 | 382 | 492 | 874 | 177 | 327 | 13 | 7 | 377 | 141 | — | — | — | — | — | — |
| 2024 | 30 | INTL | Leones del Caracas | — | 213 | 193 | 64 | 10 | 1 | 15 | 16 | 41 | 4 | 6 | 3 | 332 | 394 | 627 | 1.021 | 295 | 358 | 19 | 8 | 442 | 185 | — | — | — | — | — | — |
| 2025 | 31 | AAA | Omaha Storm Chasers | — | 403 | 368 | 113 | 18 | 2 | 21 | 26 | 78 | 2 | 7 | 2 | 307 | 356 | 538 | 894 | 231 | 339 | 19 | 6 | 384 | 77 | — | — | — | — | — | — |
| 2025 | 31 | INTL | Leones del Caracas | — | 200 | 187 | 62 | 10 | 0 | 6 | 8 | 46 | 1 | 2 | 2 | 332 | 362 | 481 | 844 | 150 | 406 | 23 | 4 | 366 | 134 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 1475 | 1396 | 388 | 61 | 7 | 16 | 54 | 314 | 2 | 6 | 4 | 278 | 306 | 366 | 672 | 88 | 345 | 21 | 4 | 296 | 87 | -23 | -0 | -29 | -3 | +32 | -2.5 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2011 | 17 | ROK MLE | VSL Tigers | — | 272 | 255 | 56 | 6 | 0 | 0 | 8 | 26 | 4 | 24 | 7 | 220 | 255 | 243 | 498 | 24 | 240 | 10 | 3 | 222 | 36 | — | — | — | — | — | — |
| 2012 | 18 | ROK MLE | GCL Tigers | — | 216 | 197 | 52 | 11 | 2 | 1 | 6 | 36 | 1 | 15 | 3 | 264 | 289 | 355 | 645 | 91 | 287 | 17 | 3 | 261 | 63 | — | — | — | — | — | — |
| 2013 | 19 | A+ MLE | Lakeland Flying Tigers | — | 80 | 74 | 18 | 2 | 1 | 0 | 4 | 31 | 0 | 3 | 2 | 243 | 282 | 297 | 579 | 54 | 376 | 39 | 5 | 242 | 50 | — | — | — | — | — | — |
| 2013 | 19 | A MLE | West Michigan Whitecaps | — | 153 | 147 | 29 | 6 | 1 | 1 | 2 | 55 | 0 | 5 | 1 | 197 | 208 | 272 | 480 | 75 | 284 | 36 | 1 | 194 | 17 | — | — | — | — | — | — |
| 2014 | 20 | A+ MLE | Lakeland Flying Tigers | — | 232 | 213 | 57 | 5 | 0 | 0 | 7 | 57 | 3 | 8 | 8 | 268 | 300 | 291 | 592 | 23 | 345 | 25 | 3 | 255 | 59 | — | — | — | — | — | — |
| 2014 | 20 | A MLE | West Michigan Whitecaps | — | 83 | 73 | 18 | 5 | 0 | 0 | 4 | 10 | 1 | 3 | 2 | 247 | 295 | 315 | 610 | 68 | 249 | 12 | 5 | 242 | 50 | — | — | — | — | — | — |
| 2015 | 21 | AA MLE | Erie SeaWolves | — | 363 | 341 | 87 | 10 | 2 | 1 | 9 | 80 | 1 | 17 | 9 | 255 | 276 | 305 | 581 | 50 | 311 | 22 | 2 | 251 | 56 | — | — | — | — | — | — |
| 2016 | 22 | AA MLE | Erie SeaWolves | — | 416 | 395 | 90 | 14 | 1 | 3 | 8 | 77 | 2 | 6 | 7 | 228 | 247 | 291 | 538 | 63 | 266 | 19 | 2 | 230 | 42 | — | — | — | — | — | — |
| 2017 | 23 | AA MLE | Erie SeaWolves | — | 449 | 420 | 119 | 15 | 4 | 1 | 12 | 66 | 6 | 20 | 9 | 283 | 313 | 345 | 658 | 62 | 321 | 15 | 3 | 283 | 78 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Lakeland Flying Tigers | — | 33 | 33 | 11 | 2 | 1 | 0 | 0 | 4 | 0 | 2 | 0 | 333 | 333 | 455 | 788 | 121 | 364 | 12 | 0 | 316 | 100 | — | — | — | — | — | — |
| 2018 | 24 | AAA MLE | Toledo Mud Hens | — | 251 | 242 | 59 | 7 | 0 | 2 | 4 | 56 | 0 | 3 | 3 | 244 | 256 | 298 | 554 | 54 | 294 | 22 | 2 | 234 | 45 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Erie SeaWolves | — | 116 | 111 | 30 | 5 | 0 | 0 | 3 | 26 | 1 | 2 | 1 | 270 | 296 | 315 | 611 | 45 | 340 | 22 | 3 | 265 | 65 | — | — | — | — | — | — |
| 2019 | 25 | MLB MLE | Detroit Tigers | — | 369 | 354 | 104 | 10 | 4 | 5 | 9 | 86 | 0 | 4 | 2 | 294 | 311 | 387 | 698 | 93 | 367 | 23 | 2 | 308 | 95 | -2 | +0 | -5 | +2 | +8 | 0.2 |
| 2019 | 25 | AAA MLE | Toledo Mud Hens | — | 134 | 125 | 36 | 4 | 1 | 4 | 6 | 30 | 0 | 1 | 3 | 288 | 321 | 432 | 753 | 144 | 339 | 22 | 4 | 321 | 103 | — | — | — | — | — | — |
| 2020 | 26 | MLB MLE | Detroit Tigers | — | 54 | 49 | 17 | 4 | 0 | 0 | 5 | 11 | 0 | 0 | 0 | 347 | 407 | 429 | 836 | 82 | 447 | 20 | 9 | 383 | 145 | +3 | +0 | -1 | -1 | +1 | 0.3 |
| 2021 | 27 | MLB MLE | Detroit Tigers | — | 339 | 315 | 90 | 13 | 1 | 3 | 14 | 72 | 1 | 1 | 1 | 286 | 318 | 362 | 680 | 76 | 351 | 21 | 4 | 300 | 89 | -4 | -0 | -8 | +4 | +7 | -0.2 |
| 2022 | 28 | MLB MLE | Detroit Tigers | — | 443 | 421 | 115 | 21 | 2 | 7 | 16 | 79 | 1 | 0 | 1 | 273 | 301 | 382 | 684 | 109 | 318 | 18 | 4 | 305 | 92 | -4 | -0 | -11 | -10 | +10 | -1.5 |
| 2023 | 29 | MLB MLE | Colorado Rockies | — | 270 | 258 | 63 | 13 | 0 | 1 | 9 | 66 | 0 | 1 | 0 | 244 | 270 | 306 | 576 | 62 | 332 | 24 | 3 | 256 | 59 | -13 | +0 | -4 | +1 | +6 | -1.0 |
| 2025 | 31 | AAA MLE | Omaha Storm Chasers | — | 403 | 376 | 87 | 14 | 2 | 14 | 18 | 93 | 2 | 7 | 2 | 231 | 270 | 391 | 661 | 160 | 264 | 23 | 4 | 282 | 77 | — | — | — | — | — | — |
| 2011 | 17 | ROK MLE | VSL Tigers | — | 272 | 255 | 56 | 6 | 0 | 0 | 8 | 26 | 4 | 24 | 7 | 220 | 255 | 243 | 498 | 24 | 245 | 10 | 3 | 222 | 36 | — | — | — | — | — | — |
| 2011 | 17 | ROK RAW | VSL Tigers | — | 272 | 252 | 79 | 10 | 0 | 1 | 11 | 21 | 4 | 24 | 7 | 313 | 352 | 365 | 717 | 52 | 339 | 8 | 4 | 320 | 36 | — | — | — | — | — | — |
| 2012 | 18 | ROK MLE | GCL Tigers | — | 216 | 197 | 52 | 11 | 2 | 1 | 6 | 36 | 1 | 15 | 3 | 264 | 289 | 355 | 645 | 91 | 313 | 17 | 3 | 261 | 63 | — | — | — | — | — | — |
| 2012 | 18 | ROK RAW | GCL Tigers | — | 216 | 193 | 60 | 14 | 2 | 1 | 10 | 25 | 1 | 15 | 3 | 311 | 348 | 420 | 768 | 109 | 347 | 12 | 5 | 324 | 63 | — | — | — | — | — | — |
| 2013 | 19 | A MLE | 2 teams | — | 233 | 222 | 47 | 8 | 2 | 1 | 5 | 86 | 0 | 8 | 3 | 212 | 229 | 279 | 508 | 68 | 336 | 37 | 2 | 210 | 29 | — | — | — | — | — | — |
| 2013 | 19 | A RAW | 2 teams | — | 233 | 220 | 54 | 9 | 2 | 1 | 7 | 62 | 0 | 8 | 3 | 245 | 269 | 318 | 587 | 73 | 333 | 27 | 3 | 256 | 29 | — | — | — | — | — | — |
| 2014 | 20 | A+ MLE | 2 teams | — | 315 | 287 | 75 | 10 | 0 | 0 | 10 | 68 | 4 | 11 | 10 | 261 | 296 | 296 | 592 | 35 | 339 | 22 | 3 | 252 | 56 | — | — | — | — | — | — |
| 2014 | 20 | A+ RAW | 2 teams | — | 315 | 283 | 81 | 10 | 0 | 0 | 14 | 47 | 4 | 11 | 10 | 286 | 329 | 322 | 650 | 35 | 340 | 15 | 4 | 285 | 56 | — | — | — | — | — | — |
| 2015 | 21 | AA MLE | 2 teams | — | 412 | 385 | 99 | 12 | 2 | 1 | 11 | 91 | 1 | 18 | 9 | 257 | 280 | 306 | 586 | 49 | 328 | 22 | 3 | 251 | 56 | — | — | — | — | — | — |
| 2015 | 21 | AA RAW | 2 teams | — | 412 | 380 | 99 | 15 | 2 | 2 | 16 | 68 | 1 | 18 | 9 | 261 | 292 | 326 | 619 | 66 | 307 | 17 | 4 | 269 | 56 | — | — | — | — | — | — |
| 2016 | 22 | AA MLE | 2 teams | — | 559 | 529 | 121 | 19 | 1 | 4 | 11 | 103 | 2 | 6 | 7 | 229 | 247 | 291 | 538 | 62 | 275 | 18 | 2 | 230 | 42 | — | — | — | — | — | — |
| 2016 | 22 | AA RAW | 2 teams | — | 559 | 523 | 134 | 23 | 4 | 4 | 17 | 93 | 2 | 6 | 7 | 256 | 282 | 338 | 621 | 82 | 302 | 17 | 3 | 270 | 42 | — | — | — | — | — | — |
| 2017 | 23 | AA MLE | 3 teams | — | 661 | 620 | 178 | 24 | 6 | 1 | 17 | 97 | 8 | 22 | 13 | 287 | 315 | 350 | 665 | 63 | 335 | 15 | 3 | 285 | 79 | — | — | — | — | — | — |
| 2017 | 23 | AA RAW | 3 teams | — | 661 | 610 | 176 | 27 | 6 | 1 | 27 | 75 | 8 | 22 | 13 | 289 | 327 | 357 | 685 | 69 | 323 | 11 | 4 | 302 | 79 | — | — | — | — | — | — |
| 2018 | 24 | INTL MLE | 3 teams | — | 630 | 607 | 151 | 19 | 0 | 3 | 11 | 140 | 1 | 11 | 6 | 249 | 263 | 295 | 558 | 46 | 315 | 22 | 2 | 244 | 51 | — | — | — | — | — | — |
| 2018 | 24 | INTL RAW | 3 teams | — | 630 | 596 | 177 | 26 | 2 | 5 | 22 | 98 | 1 | 11 | 6 | 297 | 323 | 372 | 696 | 76 | 345 | 16 | 3 | 307 | 51 | — | — | — | — | — | — |
| 2019 | 25 | MLB MLE | 2 teams | — | 503 | 479 | 140 | 14 | 5 | 9 | 15 | 116 | 0 | 5 | 5 | 292 | 314 | 399 | 713 | 106 | 365 | 23 | 3 | 312 | 97 | -2 | -1 | -5 | +2 | +11 | 0.5 |
| 2019 | 25 | MLB RAW | 2 teams | — | 503 | 476 | 143 | 15 | 5 | 9 | 18 | 112 | 0 | 5 | 5 | 300 | 326 | 410 | 736 | 109 | 372 | 22 | 4 | 322 | 97 | -2 | -1 | -5 | +2 | +11 | 0.5 |
| 2020 | 26 | MLB MLE | Detroit Tigers | — | 54 | 49 | 17 | 4 | 0 | 0 | 5 | 11 | 0 | 0 | 0 | 347 | 407 | 429 | 836 | 82 | 447 | 20 | 9 | 383 | 145 | +3 | +0 | -1 | -1 | +1 | 0.3 |
| 2020 | 26 | MLB RAW | Detroit Tigers | — | 54 | 49 | 17 | 4 | 0 | 0 | 5 | 11 | 0 | 0 | 0 | 347 | 407 | 429 | 836 | 82 | 447 | 20 | 9 | 378 | 145 | +3 | +0 | -1 | -1 | +1 | 0.3 |
| 2021 | 27 | MLB MLE | Detroit Tigers | — | 339 | 315 | 90 | 13 | 1 | 3 | 14 | 72 | 1 | 1 | 1 | 286 | 318 | 362 | 680 | 76 | 355 | 21 | 4 | 300 | 89 | -4 | -0 | -8 | +4 | +7 | -0.2 |
| 2021 | 27 | MLB RAW | Detroit Tigers | — | 339 | 315 | 89 | 13 | 1 | 3 | 14 | 72 | 1 | 1 | 1 | 283 | 315 | 359 | 674 | 76 | 351 | 21 | 4 | 296 | 89 | -4 | -0 | -8 | +4 | +7 | -0.2 |
| 2022 | 28 | MLB MLE | 2 teams | — | 546 | 518 | 142 | 26 | 2 | 9 | 20 | 97 | 3 | 2 | 3 | 274 | 305 | 384 | 689 | 110 | 321 | 18 | 4 | 305 | 92 | -5 | -1 | -11 | -10 | +12 | -1.5 |
| 2022 | 28 | MLB RAW | 2 teams | — | 546 | 519 | 151 | 22 | 2 | 7 | 19 | 91 | 3 | 2 | 3 | 291 | 320 | 382 | 701 | 91 | 340 | 17 | 3 | 312 | 92 | -5 | -1 | -11 | -10 | +12 | -1.5 |
| 2023 | 29 | MLB MLE | 2 teams | — | 418 | 394 | 96 | 19 | 0 | 1 | 14 | 102 | 3 | 5 | 0 | 244 | 275 | 299 | 574 | 56 | 320 | 24 | 3 | 256 | 59 | -20 | +1 | -4 | +1 | +9 | -1.3 |
| 2023 | 29 | MLB RAW | 2 teams | — | 418 | 388 | 106 | 17 | 2 | 6 | 20 | 85 | 3 | 5 | 0 | 273 | 314 | 374 | 688 | 101 | 330 | 20 | 5 | 304 | 59 | -20 | +1 | -4 | +1 | +9 | -1.3 |
| 2024 | 30 | INTL MLE | Leones del Caracas | — | 213 | 193 | 64 | 10 | 1 | 15 | 16 | 41 | 4 | 6 | 3 | 332 | 394 | 627 | 1.021 | 295 | 358 | 19 | 8 | — | — | — | — | — | — | — | — |
| 2024 | 30 | INTL RAW | Leones del Caracas | — | 213 | 193 | 64 | 10 | 1 | 15 | 16 | 41 | 4 | 6 | 3 | 332 | 394 | 627 | 1.021 | 295 | 358 | 19 | 8 | 442 | 185 | — | — | — | — | — | — |
| 2025 | 31 | AAA MLE | 2 teams | — | 603 | 562 | 131 | 21 | 3 | 21 | 27 | 139 | 3 | 9 | 4 | 233 | 272 | 393 | 665 | 160 | 270 | 23 | 4 | 282 | 77 | — | — | — | — | — | — |
| 2025 | 31 | AAA RAW | 2 teams | — | 603 | 555 | 175 | 28 | 2 | 27 | 34 | 124 | 3 | 9 | 4 | 315 | 358 | 519 | 877 | 204 | 362 | 21 | 6 | 378 | 77 | — | — | — | — | — | — |
| 2011 | 17 | ROK MLE | VSL Tigers | — | 272 | 258 | 56 | 6 | 0 | 0 | 8 | 26 | 4 | 24 | 7 | 217 | 255 | 240 | 495 | 23 | 240 | 10 | 3 | 222 | 36 | — | — | — | — | — | — |
| 2012 | 18 | ROK MLE | GCL Tigers | — | 216 | 207 | 52 | 11 | 2 | 1 | 6 | 36 | 1 | 15 | 3 | 251 | 289 | 338 | 627 | 87 | 287 | 17 | 3 | 261 | 63 | — | — | — | — | — | — |
| 2013 | 19 | A MLE | 2 teams | — | 233 | 226 | 47 | 8 | 2 | 1 | 5 | 86 | 0 | 8 | 3 | 208 | 229 | 274 | 503 | 66 | 316 | 37 | 2 | 210 | 29 | — | — | — | — | — | — |
| 2014 | 20 | A+ MLE | 2 teams | — | 315 | 298 | 75 | 10 | 0 | 0 | 10 | 68 | 4 | 11 | 10 | 252 | 296 | 285 | 581 | 34 | 320 | 22 | 3 | 252 | 56 | — | — | — | — | — | — |
| 2015 | 21 | AA MLE | 2 teams | — | 412 | 397 | 99 | 12 | 2 | 1 | 11 | 91 | 1 | 18 | 9 | 249 | 280 | 297 | 577 | 48 | 311 | 22 | 3 | 251 | 56 | — | — | — | — | — | — |
| 2016 | 22 | AA MLE | 2 teams | — | 559 | 541 | 121 | 19 | 1 | 4 | 11 | 103 | 2 | 6 | 7 | 224 | 247 | 285 | 532 | 61 | 266 | 18 | 2 | 230 | 42 | — | — | — | — | — | — |
| 2017 | 23 | AA MLE | 3 teams | — | 661 | 631 | 178 | 24 | 6 | 1 | 17 | 97 | 8 | 22 | 13 | 282 | 315 | 344 | 659 | 62 | 324 | 15 | 3 | 285 | 79 | — | — | — | — | — | — |
| 2018 | 24 | INTL MLE | 3 teams | — | 630 | 613 | 151 | 19 | 0 | 3 | 11 | 140 | 1 | 11 | 6 | 246 | 263 | 292 | 555 | 46 | 309 | 22 | 2 | 244 | 51 | — | — | — | — | — | — |
| 2019 | 25 | MLB MLE | 2 teams | — | 503 | 483 | 140 | 14 | 5 | 9 | 15 | 116 | 0 | 5 | 5 | 290 | 314 | 395 | 709 | 106 | 360 | 23 | 3 | 312 | 97 | — | — | — | — | — | — |
| 2020 | 26 | MLB MLE | Detroit Tigers | — | 54 | 49 | 17 | 4 | 0 | 0 | 5 | 11 | 0 | 0 | 0 | 347 | 407 | 429 | 836 | 82 | 447 | 20 | 9 | 383 | 145 | — | — | — | — | — | — |
| 2021 | 27 | MLB MLE | Detroit Tigers | — | 339 | 321 | 90 | 13 | 1 | 3 | 14 | 72 | 1 | 1 | 1 | 280 | 318 | 355 | 673 | 75 | 351 | 21 | 4 | 300 | 89 | — | — | — | — | — | — |
| 2022 | 28 | MLB MLE | 2 teams | — | 546 | 518 | 142 | 26 | 2 | 9 | 20 | 97 | 3 | 2 | 3 | 274 | 305 | 384 | 689 | 110 | 318 | 18 | 4 | 305 | 92 | — | — | — | — | — | — |
| 2023 | 29 | MLB MLE | 2 teams | — | 418 | 398 | 96 | 19 | 0 | 1 | 14 | 102 | 3 | 5 | 0 | 241 | 275 | 296 | 571 | 55 | 332 | 24 | 3 | 256 | 59 | — | — | — | — | — | — |
| 2025 | 31 | AAA MLE | 2 teams | — | 603 | 568 | 131 | 21 | 3 | 21 | 27 | 139 | 3 | 9 | 4 | 231 | 272 | 389 | 661 | 158 | 264 | 23 | 4 | 282 | 77 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2025 | 31 | AAA MLE | 2 teams | — | 603 | 568 | 131 | 21 | 3 | 21 | 27 | 139 | 3 | 9 | 4 | 231 | 272 | 389 | 661 | 158 | 264 | 23 | 4 | 282 | 77 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 33 | MLB MLE | KC | 20% | 416 | 390 | 104 | 19 | 2 | 15 | 20 | 99 | 3 | 8 | 2 | 269 | 309 | 449 | 758 | 180 | 321 | 24 | 5 | 331 | 110 | +5 | +1 | -1 | +1 | +9 | 0.9 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 33 | MLB CTX | KC | 20% | 48 | 46 | 12 | 2 | 0 | 2 | 2 | 11 | 0 | 1 | 0 | 265 | 305 | 436 | 742 | 171 | 318 | 23 | 4 | 325 | 110 | +1 | +0 | -0 | +0 | +1 | 0.2 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 34 | MLB MLE | KC | 16% | 260 | 245 | 63 | 11 | 1 | 9 | 12 | 64 | 1 | 2 | 1 | 258 | 297 | 425 | 722 | 167 | 311 | 25 | 5 | 317 | 100 | +0 | +0 | -6 | +1 | +6 | 0.1 |
| 2028 | 34 | MLB CTX | KC | 16% | 40 | 38 | 9 | 2 | 0 | 1 | 2 | 10 | 0 | 0 | 0 | 254 | 293 | 413 | 707 | 159 | 308 | 25 | 5 | 310 | 100 | +0 | +0 | -1 | +0 | +1 | 0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1515 | 1434 | 397 | 63 | 7 | 17 | 56 | 324 | 2 | 6 | 4 | 277 | 305 | 366 | 671 | 89 | 344 | 21 | 4 | 297 | 64 | -23 | -0 | -30 | -3 | +33 | -2.4 | |
| / 162G | — | A+C | — | 650 | 615 | 170 | 27 | 3 | 7 | 24 | 139 | 1 | 3 | 2 | 276 | 305 | 364 | 669 | 88 | 343 | 21 | 4 | 297 | 64 | -10 | -0 | -13 | -1 | +14 | -1.0 | |
| Career | — | MLE | — | 6472 | 6080 | 1582 | 238 | 27 | 87 | 213 | 1345 | 38 | 149 | 76 | 260 | 290 | 351 | 641 | 91 | 318 | 21 | 3 | 263 | 64 | -20 | +0 | -36 | -2 | +43 | -1.5 | |
| / 162G | — | MLE | — | 650 | 611 | 160 | 24 | 3 | 9 | 21 | 135 | 4 | 15 | 8 | 262 | 291 | 355 | 646 | 93 | 319 | 21 | 3 | 263 | 64 | -7 | +0 | -12 | -1 | +14 | -0.5 | |
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.
2025 AAAOmaha Storm Chasers · 403 PAwOBA .375 → .282 (−93)K% 19.4% → 23.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.35% | ÷1.007 | ×1.200 | — | — | 23.06% |
| BB% (unintentional) /PA | 6.45% | ÷0.935 | ×0.690 | — | ×0.952 | 4.53% |
| HBP% /PA | 0.50% | — | ×0.940 | — | ×0.952 | 0.44% |
| Singles /BIP | 24.83% | ÷1.108 | ×0.930 | ×0.994 | ×0.952 | 19.72% |
| Doubles /BIP | 6.21% | ÷1.006 | ×0.830 | ×0.994 | ×0.952 | 4.85% |
| Triples /BIP | 0.69% | ÷0.900 | ×0.970 | ×0.994 | ×0.952 | 0.70% |
| Home runs /BIP | 7.24% | ÷1.003 | ×0.700 | — | ×0.952 | 4.81% |
Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 122, 2B 101, 3B 80, K 101, BB 87 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.
Result: wOBA .375 → .282; ISO .231 → .163; BABIP .339 → .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).
2019 AAAToledo Mud Hens · 134 PAwOBA .364 → .321 (−43)K% 19.4% → 22.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.40% | ÷1.056 | ×1.200 | — | — | 22.06% |
| BB% (unintentional) /PA | 6.72% | ÷1.004 | ×0.690 | — | ×1.018 | 4.70% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.018 | 0.00% |
| Singles /BIP | 31.25% | ÷1.013 | ×0.930 | ×0.950 | ×1.018 | 27.75% |
| Doubles /BIP | 5.21% | ÷0.995 | ×0.830 | ×0.950 | ×1.018 | 4.20% |
| Triples /BIP | 1.04% | ÷1.096 | ×0.970 | ×0.950 | ×1.018 | 0.89% |
| Home runs /BIP | 4.17% | ÷0.888 | ×0.840 | — | ×1.018 | 4.01% |
Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 103, 2B 99, 3B 119, K 111, BB 101 — 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 ×0.950.
Result: wOBA .364 → .321; ISO .156 → .145; BABIP .387 → .339. 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 AAAToledo Mud Hens · 251 PAwOBA .254 → .234 (−19)K% 18.7% → 22.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.73% | ÷1.011 | ×1.200 | — | — | 22.23% |
| BB% (unintentional) /PA | 1.99% | ÷0.980 | ×0.690 | — | ×1.033 | 1.45% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.033 | 0.00% |
| Singles /BIP | 26.80% | ÷1.005 | ×0.930 | ×1.014 | ×1.033 | 25.96% |
| Doubles /BIP | 4.12% | ÷1.038 | ×0.830 | ×1.014 | ×1.033 | 3.45% |
| Triples /BIP | 0.00% | ÷1.038 | ×0.970 | ×1.014 | ×1.033 | 0.00% |
| Home runs /BIP | 1.03% | ÷0.893 | ×0.840 | — | ×1.033 | 1.00% |
Factors used: league row IL. Park (home-season share, regressed): HR 79, 1B 101, 2B 108, 3B 108, K 102, BB 96 — 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 ×1.014.
Result: wOBA .254 → .234; ISO .058 → .051; BABIP .309 → .294. 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 AAErie SeaWolves · 116 PAwOBA .283 → .265 (−19)K% 18.1% → 22.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.10% | ÷0.999 | ×1.220 | — | — | 22.12% |
| BB% (unintentional) /PA | 3.45% | ÷1.007 | ×0.700 | — | ×0.998 | 2.39% |
| HBP% /PA | 0.86% | — | ×0.850 | — | ×0.998 | 0.73% |
| Singles /BIP | 29.21% | ÷1.016 | ×0.970 | ×1.050 | ×0.998 | 29.22% |
| Doubles /BIP | 5.62% | ÷0.974 | ×0.860 | ×1.050 | ×0.998 | 5.20% |
| Triples /BIP | 0.00% | ÷0.901 | ×0.950 | ×1.050 | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.112 | ×0.780 | — | ×0.998 | 0.00% |
Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 103, 2B 95, 3B 80, K 100, BB 101 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .283 → .265; ISO .045 → .041; BABIP .344 → .340. 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 AAErie SeaWolves · 449 PAwOBA .297 → .283 (−14)K% 11.8% → 14.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.80% | ÷0.973 | ×1.220 | — | — | 14.80% |
| BB% (unintentional) /PA | 4.01% | ÷1.059 | ×0.700 | — | ×1.012 | 2.68% |
| HBP% /PA | 1.34% | — | ×0.850 | — | ×1.012 | 1.15% |
| Singles /BIP | 27.42% | ÷1.020 | ×0.970 | ×1.031 | ×1.012 | 27.22% |
| Doubles /BIP | 4.43% | ÷0.944 | ×0.860 | ×1.031 | ×1.012 | 4.21% |
| Triples /BIP | 1.11% | ÷1.094 | ×0.950 | ×1.031 | ×1.012 | 1.00% |
| Home runs /BIP | 0.28% | ÷1.259 | ×0.780 | — | ×1.012 | 0.17% |
Factors used: league row EL. Park (home-season share, regressed): HR 152, 1B 104, 2B 89, 3B 119, K 95, BB 112 — 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 ×1.031.
Result: wOBA .297 → .283; ISO .065 → .060; BABIP .326 → .321. 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+Lakeland Flying Tigers · 33 PAwOBA .363 → .316 (−47)K% 9.1% → 13.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.09% | ÷0.995 | ×1.420 | — | — | 12.98% |
| BB% (unintentional) /PA | 0.00% | ÷1.138 | ×0.750 | — | ×0.988 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.988 | 0.00% |
| Singles /BIP | 30.00% | ÷1.012 | ×0.920 | — | ×0.988 | 26.94% |
| Doubles /BIP | 6.67% | ÷0.918 | ×0.960 | — | ×0.988 | 6.89% |
| Triples /BIP | 3.33% | ÷1.039 | ×0.810 | — | ×0.988 | 2.57% |
| Home runs /BIP | 0.00% | ÷1.747 | ×0.880 | — | ×0.988 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 249, 1B 102, 2B 84, 3B 108, K 99, BB 128 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).
Result: wOBA .363 → .316; ISO .121 → .105; BABIP .400 → .364. 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 AAErie SeaWolves · 416 PAwOBA .255 → .230 (−25)K% 15.1% → 18.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.14% | ÷0.998 | ×1.220 | — | — | 18.52% |
| BB% (unintentional) /PA | 2.64% | ÷1.027 | ×0.700 | — | ×1.027 | 1.85% |
| HBP% /PA | 0.48% | — | ×0.850 | — | ×1.027 | 0.42% |
| Singles /BIP | 23.10% | ÷1.045 | ×0.970 | ×0.994 | ×1.027 | 21.89% |
| Doubles /BIP | 4.86% | ÷0.973 | ×0.860 | ×0.994 | ×1.027 | 4.39% |
| Triples /BIP | 0.30% | ÷1.127 | ×0.950 | ×0.994 | ×1.027 | 0.26% |
| Home runs /BIP | 1.22% | ÷1.095 | ×0.780 | — | ×1.027 | 0.89% |
Factors used: league row EL. Park (home-season share, regressed): HR 119, 1B 109, 2B 95, 3B 125, K 100, BB 105 — 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 ×0.994.
Result: wOBA .255 → .230; ISO .077 → .064; BABIP .284 → .266. 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 AAErie SeaWolves · 363 PAwOBA .260 → .251 (−9)K% 17.4% → 22.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.36% | ÷0.959 | ×1.220 | — | — | 22.07% |
| BB% (unintentional) /PA | 3.86% | ÷1.077 | ×0.700 | — | ×1.042 | 2.61% |
| HBP% /PA | 0.28% | — | ×0.850 | — | ×1.042 | 0.24% |
| Singles /BIP | 26.01% | ÷0.995 | ×0.970 | ×1.034 | ×1.042 | 27.30% |
| Doubles /BIP | 4.40% | ÷1.095 | ×0.860 | ×1.034 | ×1.042 | 3.72% |
| Triples /BIP | 0.73% | ÷1.074 | ×0.950 | ×1.034 | ×1.042 | 0.70% |
| Home runs /BIP | 0.37% | ÷1.100 | ×0.780 | — | ×1.042 | 0.27% |
Factors used: league row EL. Park (home-season share, regressed): HR 120, 1B 99, 2B 119, 3B 115, K 92, BB 115 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.
Result: wOBA .260 → .251; ISO .057 → .048; BABIP .306 → .311. 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 — .