Zach McKinstry
2B Detroit Tigers| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 29 | MLBDET | 325 | .215/.279/.337 | 4 | 16 | 76 | 0.8 |
| 2025 | 30 | MLBDET | 511 | .259/.337/.438 | 12 | 19 | 119 | 2.7 |
| 2026 | 31 | MLBDET | 423 | .199/.289/.294 | 4 | 3 | 68 | -0.6 |
| 2027PROJ | 32 | MLBDET | 329 | .228/.310/.351 | 5 | 7 | 91 | 0.7 |
| 2028PROJ | 33 | MLBDET | 291 | .220/.301/.333 | 4 | 3 | 83 | -0.1 |
Tools · Recent Form · Splits · ContractCON 50 / POW 40
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) | |||||||||||||||||||||||||||||||
| 2016 | 21 | A | Great Lakes Loons | — | 165 | 142 | 37 | 5 | 2 | 0 | 15 | 29 | 5 | 6 | 1 | 261 | 352 | 324 | 676 | 63 | 325 | 18 | 9 | 309 | 68 | — | — | — | — | — | — |
| 2016 | 21 | ROK | AZL Dodgers | — | 17 | 17 | 3 | 0 | 1 | 0 | 0 | 3 | 0 | 0 | 1 | 176 | 176 | 294 | 471 | 118 | 214 | 18 | 0 | 201 | -22 | — | — | — | — | — | — |
| 2017 | 22 | AA | Tulsa Drillers | — | 45 | 39 | 10 | 1 | 1 | 0 | 6 | 8 | 0 | 0 | 0 | 256 | 356 | 333 | 689 | 77 | 323 | 18 | 13 | 318 | 65 | — | — | — | — | — | — |
| 2017 | 22 | A+ | Rancho Cucamonga Quakes | — | 355 | 319 | 72 | 13 | 0 | 3 | 29 | 87 | 5 | 5 | 2 | 226 | 300 | 295 | 595 | 69 | 300 | 25 | 8 | 275 | 28 | — | — | — | — | — | — |
| 2017 | 22 | A | Great Lakes Loons | — | 69 | 52 | 16 | 7 | 0 | 1 | 17 | 10 | 0 | 2 | 1 | 308 | 478 | 500 | 978 | 192 | 366 | 14 | 25 | 437 | 122 | — | — | — | — | — | — |
| 2018 | 23 | AA | Tulsa Drillers | — | 87 | 83 | 16 | 2 | 1 | 2 | 4 | 21 | 0 | 0 | 0 | 193 | 230 | 313 | 543 | 120 | 233 | 24 | 5 | 242 | 15 | — | — | — | — | — | — |
| 2018 | 23 | A+ | Rancho Cucamonga Quakes | — | 114 | 91 | 28 | 7 | 1 | 2 | 17 | 22 | 6 | 0 | 0 | 308 | 447 | 473 | 920 | 165 | 388 | 19 | 15 | 415 | 97 | — | — | — | — | — | — |
| 2018 | 23 | A | Great Lakes Loons | — | 72 | 53 | 20 | 2 | 2 | 3 | 16 | 16 | 3 | 2 | 1 | 377 | 542 | 660 | 1.202 | 283 | 500 | 22 | 22 | 516 | 162 | — | — | — | — | — | — |
| 2019 | 24 | AAA | Oklahoma City Dodgers | — | 95 | 89 | 34 | 8 | 2 | 7 | 6 | 18 | 0 | 0 | 1 | 382 | 421 | 753 | 1.174 | 371 | 422 | 19 | 6 | 501 | 146 | — | — | — | — | — | — |
| 2019 | 24 | AA | Tulsa Drillers | — | 384 | 341 | 95 | 16 | 4 | 12 | 37 | 74 | 3 | 8 | 8 | 279 | 354 | 455 | 809 | 176 | 323 | 19 | 10 | 357 | 80 | — | — | — | — | — | — |
| 2021 | 26 | MLB | Los Angeles Dodgers | — | 172 | 158 | 34 | 9 | 0 | 7 | 10 | 50 | 1 | 1 | 1 | 215 | 266 | 405 | 671 | 190 | 262 | 29 | 6 | 291 | 83 | -4 | -0 | -2 | -4 | +4 | -0.6 |
| 2021 | 26 | AAA | Oklahoma City Dodgers | — | 171 | 147 | 40 | 8 | 3 | 7 | 20 | 26 | 3 | 4 | 2 | 272 | 371 | 510 | 881 | 238 | 287 | 15 | 12 | 385 | 103 | — | — | — | — | — | — |
| 2022 | 27 | MLB | Chicago Cubs | — | 185 | 166 | 33 | 6 | 3 | 5 | 16 | 52 | 1 | 7 | 0 | 199 | 273 | 361 | 635 | 163 | 257 | 28 | 9 | 281 | 75 | -6 | +1 | +2 | +1 | +4 | 0.4 |
| 2022 | 27 | AAA | Oklahoma City Dodgers | — | 223 | 191 | 64 | 9 | 4 | 4 | 27 | 33 | 2 | 0 | 3 | 335 | 423 | 487 | 910 | 152 | 382 | 15 | 12 | 400 | 116 | — | — | — | — | — | — |
| 2023 | 28 | MLB | Detroit Tigers | — | 518 | 464 | 107 | 21 | 4 | 9 | 44 | 113 | 5 | 16 | 6 | 231 | 304 | 351 | 655 | 121 | 284 | 22 | 8 | 295 | 89 | -7 | +1 | +4 | +2 | +11 | 1.1 |
| 2024 | 29 | MLB | Detroit Tigers | — | 325 | 297 | 64 | 14 | 5 | 4 | 24 | 69 | 2 | 16 | 0 | 215 | 279 | 337 | 615 | 121 | 265 | 21 | 7 | 276 | 76 | -9 | +3 | +4 | +3 | +7 | 0.8 |
| 2025 | 30 | MLB | Detroit Tigers | — | 511 | 452 | 117 | 23 | 11 | 12 | 46 | 111 | 7 | 19 | 5 | 259 | 337 | 438 | 775 | 179 | 314 | 22 | 9 | 340 | 119 | +12 | +2 | +1 | +2 | +11 | 2.7 |
| 2026 | 31 | MLB | Detroit Tigers | — | 423 | 371 | 74 | 15 | 4 | 4 | 42 | 69 | 5 | 3 | 5 | 199 | 289 | 294 | 583 | 94 | 233 | 16 | 10 | 268 | 68 | -16 | -1 | +1 | +2 | +9 | -0.6 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 2134 | 1908 | 429 | 88 | 27 | 41 | 182 | 464 | 21 | 62 | 17 | 225 | 299 | 364 | 663 | 139 | 274 | 22 | 9 | 296 | 86 | -35 | +6 | +9 | +6 | +46 | 3.4 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 21 | A MLE | Great Lakes Loons | — | 165 | 147 | 35 | 4 | 2 | 0 | 10 | 40 | 5 | 6 | 1 | 238 | 309 | 293 | 601 | 54 | 315 | 24 | 6 | 269 | 68 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | AZL Dodgers | — | 17 | 17 | 2 | 0 | 1 | 0 | 0 | 4 | 0 | 0 | 1 | 118 | 118 | 235 | 353 | 118 | 166 | 24 | 0 | 135 | -22 | — | — | — | — | — | — |
| 2017 | 22 | AA MLE | Tulsa Drillers | — | 45 | 42 | 10 | 1 | 1 | 0 | 3 | 10 | 0 | 0 | 0 | 238 | 289 | 310 | 598 | 71 | 302 | 22 | 7 | 264 | 65 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Rancho Cucamonga Quakes | — | 355 | 329 | 58 | 9 | 0 | 2 | 19 | 118 | 5 | 5 | 2 | 176 | 232 | 222 | 454 | 46 | 267 | 33 | 5 | 209 | 28 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Great Lakes Loons | — | 69 | 58 | 15 | 6 | 0 | 1 | 11 | 14 | 0 | 2 | 1 | 259 | 377 | 414 | 791 | 155 | 324 | 20 | 16 | 348 | 122 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | Tulsa Drillers | — | 87 | 84 | 14 | 2 | 1 | 1 | 3 | 27 | 0 | 0 | 0 | 167 | 195 | 250 | 445 | 83 | 216 | 31 | 3 | 190 | 15 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Rancho Cucamonga Quakes | — | 114 | 97 | 23 | 5 | 1 | 2 | 11 | 31 | 6 | 0 | 0 | 237 | 351 | 371 | 722 | 134 | 324 | 27 | 10 | 312 | 97 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Great Lakes Loons | — | 72 | 58 | 18 | 2 | 2 | 2 | 11 | 21 | 3 | 2 | 1 | 310 | 444 | 517 | 962 | 207 | 446 | 29 | 15 | 408 | 162 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | Oklahoma City Dodgers | — | 95 | 91 | 28 | 6 | 2 | 5 | 4 | 23 | 0 | 0 | 1 | 308 | 337 | 582 | 919 | 275 | 360 | 24 | 4 | 384 | 146 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | Tulsa Drillers | — | 384 | 353 | 81 | 12 | 4 | 10 | 25 | 95 | 3 | 8 | 8 | 229 | 286 | 371 | 657 | 142 | 279 | 25 | 7 | 286 | 80 | — | — | — | — | — | — |
| 2021 | 26 | MLB MLE | Los Angeles Dodgers | — | 172 | 159 | 35 | 10 | 0 | 7 | 9 | 50 | 1 | 1 | 1 | 220 | 266 | 415 | 681 | 195 | 262 | 29 | 5 | 290 | 83 | -4 | -0 | -2 | -4 | +4 | -0.6 |
| 2021 | 26 | AAA MLE | Oklahoma City Dodgers | — | 171 | 153 | 37 | 7 | 3 | 5 | 14 | 31 | 3 | 4 | 2 | 242 | 318 | 425 | 742 | 183 | 269 | 18 | 8 | 321 | 103 | — | — | — | — | — | — |
| 2022 | 27 | MLB MLE | Chicago Cubs | — | 185 | 166 | 33 | 6 | 3 | 5 | 16 | 52 | 1 | 7 | 0 | 199 | 273 | 361 | 635 | 163 | 257 | 28 | 9 | 278 | 75 | -6 | +1 | +2 | +1 | +4 | 0.4 |
| 2022 | 27 | AAA MLE | Oklahoma City Dodgers | — | 223 | 201 | 59 | 8 | 4 | 3 | 17 | 39 | 2 | 0 | 3 | 294 | 355 | 418 | 772 | 124 | 343 | 17 | 8 | 340 | 116 | — | — | — | — | — | — |
| 2023 | 28 | MLB MLE | Detroit Tigers | — | 518 | 464 | 108 | 21 | 4 | 9 | 44 | 113 | 5 | 16 | 6 | 233 | 306 | 353 | 659 | 121 | 284 | 22 | 8 | 299 | 89 | -7 | +1 | +4 | +2 | +11 | 1.1 |
| 2024 | 29 | MLB MLE | Detroit Tigers | — | 325 | 297 | 65 | 14 | 5 | 4 | 24 | 69 | 2 | 16 | 0 | 219 | 282 | 340 | 622 | 121 | 265 | 21 | 7 | 280 | 76 | -9 | +3 | +4 | +3 | +7 | 0.8 |
| 2025 | 30 | MLB MLE | Detroit Tigers | — | 511 | 453 | 120 | 24 | 11 | 13 | 45 | 111 | 7 | 19 | 5 | 265 | 341 | 453 | 793 | 188 | 314 | 22 | 9 | 344 | 119 | +12 | +2 | +1 | +2 | +11 | 2.7 |
| 2026 | 31 | MLB MLE | Detroit Tigers | — | 423 | 372 | 75 | 15 | 4 | 4 | 41 | 69 | 5 | 3 | 5 | 202 | 289 | 296 | 585 | 94 | 233 | 16 | 10 | 269 | 68 | -16 | -1 | +1 | +2 | +9 | -0.6 |
| 2016 | 21 | A MLE | 2 teams | — | 182 | 164 | 37 | 4 | 3 | 0 | 10 | 44 | 5 | 6 | 2 | 226 | 291 | 287 | 577 | 61 | 306 | 24 | 5 | 256 | 60 | — | — | — | — | — | — |
| 2016 | 21 | A RAW | 2 teams | — | 182 | 159 | 40 | 5 | 3 | 0 | 15 | 32 | 5 | 6 | 2 | 252 | 335 | 321 | 656 | 69 | 312 | 18 | 8 | 299 | 60 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | 3 teams | — | 469 | 429 | 83 | 16 | 1 | 3 | 33 | 142 | 5 | 7 | 3 | 193 | 259 | 256 | 516 | 63 | 281 | 30 | 7 | 235 | 45 | — | — | — | — | — | — |
| 2017 | 22 | A+ RAW | 3 teams | — | 469 | 410 | 98 | 21 | 1 | 4 | 52 | 105 | 5 | 7 | 3 | 239 | 332 | 324 | 656 | 85 | 311 | 22 | 11 | 303 | 45 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 3 teams | — | 273 | 239 | 53 | 8 | 3 | 5 | 25 | 79 | 9 | 2 | 1 | 222 | 319 | 343 | 662 | 121 | 310 | 29 | 9 | 298 | 88 | — | — | — | — | — | — |
| 2018 | 23 | A+ RAW | 3 teams | — | 273 | 227 | 64 | 11 | 4 | 7 | 37 | 59 | 9 | 2 | 1 | 282 | 403 | 458 | 861 | 176 | 354 | 22 | 14 | 387 | 88 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 479 | 444 | 108 | 18 | 5 | 16 | 29 | 118 | 3 | 8 | 9 | 243 | 294 | 414 | 709 | 171 | 295 | 25 | 6 | 305 | 93 | — | — | — | — | — | — |
| 2019 | 24 | AA RAW | 2 teams | — | 479 | 430 | 129 | 24 | 6 | 19 | 43 | 92 | 3 | 8 | 9 | 300 | 368 | 516 | 884 | 216 | 343 | 19 | 9 | 385 | 93 | — | — | — | — | — | — |
| 2021 | 26 | MLB MLE | 2 teams | — | 343 | 312 | 72 | 17 | 3 | 12 | 23 | 81 | 4 | 5 | 3 | 231 | 292 | 420 | 712 | 189 | 270 | 24 | 7 | 306 | 93 | -3 | -0 | -2 | -4 | +7 | -0.1 |
| 2021 | 26 | MLB RAW | 2 teams | — | 343 | 305 | 74 | 17 | 3 | 14 | 30 | 76 | 4 | 5 | 3 | 243 | 319 | 456 | 774 | 213 | 275 | 22 | 9 | 338 | 93 | -3 | -0 | -2 | -4 | +7 | -0.1 |
| 2022 | 27 | AAA MLE | 2 teams | — | 408 | 367 | 92 | 14 | 7 | 8 | 33 | 91 | 3 | 7 | 3 | 251 | 318 | 392 | 710 | 142 | 310 | 22 | 8 | 312 | 97 | — | — | — | — | — | — |
| 2022 | 27 | AAA RAW | 2 teams | — | 408 | 357 | 97 | 15 | 7 | 9 | 43 | 85 | 3 | 7 | 3 | 272 | 355 | 429 | 783 | 157 | 331 | 21 | 11 | 346 | 97 | — | — | — | — | — | — |
| 2023 | 28 | MLB MLE | Detroit Tigers | — | 518 | 464 | 108 | 21 | 4 | 9 | 44 | 113 | 5 | 16 | 6 | 233 | 306 | 353 | 659 | 121 | 287 | 22 | 8 | 299 | 89 | -7 | +1 | +4 | +2 | +11 | 1.1 |
| 2023 | 28 | MLB RAW | Detroit Tigers | — | 518 | 464 | 107 | 21 | 4 | 9 | 44 | 113 | 5 | 16 | 6 | 231 | 304 | 351 | 655 | 121 | 284 | 22 | 8 | 295 | 89 | -7 | +1 | +4 | +2 | +11 | 1.1 |
| 2024 | 29 | MLB MLE | Detroit Tigers | — | 325 | 297 | 65 | 14 | 5 | 4 | 24 | 69 | 2 | 16 | 0 | 219 | 282 | 340 | 622 | 121 | 270 | 21 | 7 | 280 | 76 | -9 | +3 | +4 | +3 | +7 | 0.8 |
| 2024 | 29 | MLB RAW | Detroit Tigers | — | 325 | 297 | 64 | 14 | 5 | 4 | 24 | 69 | 2 | 16 | 0 | 215 | 279 | 337 | 615 | 121 | 265 | 21 | 7 | 276 | 76 | -9 | +3 | +4 | +3 | +7 | 0.8 |
| 2025 | 30 | MLB MLE | Detroit Tigers | — | 511 | 453 | 120 | 24 | 11 | 13 | 45 | 111 | 7 | 19 | 5 | 265 | 341 | 453 | 793 | 188 | 320 | 22 | 9 | 344 | 119 | +12 | +2 | +1 | +2 | +11 | 2.7 |
| 2025 | 30 | MLB RAW | Detroit Tigers | — | 511 | 452 | 117 | 23 | 11 | 12 | 46 | 111 | 7 | 19 | 5 | 259 | 337 | 438 | 775 | 179 | 314 | 22 | 9 | 340 | 119 | +12 | +2 | +1 | +2 | +11 | 2.7 |
| 2026 | 31 | MLB MLE | Detroit Tigers | — | 423 | 372 | 75 | 15 | 4 | 4 | 41 | 69 | 5 | 3 | 5 | 202 | 289 | 296 | 585 | 94 | 236 | 16 | 10 | 269 | 68 | -16 | -1 | +1 | +2 | +9 | -0.6 |
| 2026 | 31 | MLB RAW | Detroit Tigers | — | 423 | 371 | 74 | 15 | 4 | 4 | 42 | 69 | 5 | 3 | 5 | 199 | 289 | 294 | 583 | 94 | 233 | 16 | 10 | 268 | 68 | -16 | -1 | +1 | +2 | +9 | -0.6 |
| 2016 | 21 | A MLE | 2 teams | — | 182 | 165 | 37 | 4 | 3 | 0 | 10 | 44 | 5 | 6 | 2 | 224 | 291 | 285 | 575 | 61 | 301 | 24 | 5 | 256 | 60 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | 3 teams | — | 469 | 428 | 83 | 16 | 1 | 3 | 33 | 142 | 5 | 7 | 3 | 194 | 259 | 257 | 516 | 63 | 279 | 30 | 7 | 235 | 45 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 3 teams | — | 273 | 237 | 53 | 8 | 3 | 5 | 25 | 79 | 9 | 2 | 1 | 224 | 319 | 346 | 665 | 122 | 322 | 29 | 9 | 298 | 88 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 479 | 444 | 108 | 18 | 5 | 16 | 29 | 118 | 3 | 8 | 9 | 243 | 294 | 414 | 709 | 171 | 295 | 25 | 6 | 305 | 93 | — | — | — | — | — | — |
| 2021 | 26 | MLB MLE | 2 teams | — | 343 | 313 | 72 | 17 | 3 | 12 | 23 | 81 | 4 | 5 | 3 | 230 | 292 | 419 | 711 | 188 | 266 | 24 | 7 | 306 | 93 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | 2 teams | — | 408 | 369 | 92 | 14 | 7 | 8 | 33 | 91 | 3 | 7 | 3 | 249 | 318 | 390 | 708 | 141 | 304 | 22 | 8 | 312 | 97 | — | — | — | — | — | — |
| 2023 | 28 | MLB MLE | Detroit Tigers | — | 518 | 464 | 108 | 21 | 4 | 9 | 44 | 113 | 5 | 16 | 6 | 233 | 306 | 353 | 659 | 121 | 284 | 22 | 8 | 299 | 89 | — | — | — | — | — | — |
| 2024 | 29 | MLB MLE | Detroit Tigers | — | 325 | 296 | 65 | 14 | 5 | 4 | 24 | 69 | 2 | 16 | 0 | 220 | 282 | 341 | 623 | 122 | 265 | 21 | 7 | 280 | 76 | — | — | — | — | — | — |
| 2025 | 30 | MLB MLE | Detroit Tigers | — | 511 | 454 | 120 | 24 | 11 | 13 | 45 | 111 | 7 | 19 | 5 | 264 | 341 | 452 | 792 | 187 | 314 | 22 | 9 | 344 | 119 | — | — | — | — | — | — |
| 2026 | 31 | MLB MLE | Detroit Tigers | — | 423 | 374 | 75 | 15 | 4 | 4 | 41 | 69 | 5 | 3 | 5 | 201 | 289 | 294 | 584 | 94 | 233 | 16 | 10 | 269 | 68 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 29 | MLB MLE | Detroit Tigers | — | 325 | 296 | 65 | 14 | 5 | 4 | 24 | 69 | 2 | 16 | 0 | 220 | 282 | 341 | 623 | 122 | 265 | 21 | 7 | 280 | 76 | — | — | — | — | — | — |
| 2025 | 30 | MLB MLE | Detroit Tigers | — | 511 | 454 | 120 | 24 | 11 | 13 | 45 | 111 | 7 | 19 | 5 | 264 | 341 | 452 | 792 | 187 | 314 | 22 | 9 | 344 | 119 | — | — | — | — | — | — |
| 2026 | 31 | MLB MLE | Detroit Tigers | — | 423 | 374 | 75 | 15 | 4 | 4 | 41 | 69 | 5 | 3 | 5 | 201 | 289 | 294 | 584 | 94 | 233 | 16 | 10 | 269 | 68 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 32 | MLB MLE | DET | 100% | 426 | 378 | 87 | 17 | 5 | 7 | 40 | 79 | 5 | 9 | 2 | 232 | 313 | 358 | 672 | 127 | 273 | 19 | 9 | 302 | 91 | -5 | +1 | +2 | +2 | +9 | 0.6 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 32 | MLB CTX | DET | 100% | 329 | 291 | 66 | 13 | 4 | 5 | 31 | 61 | 4 | 7 | 2 | 228 | 310 | 351 | 661 | 123 | 269 | 19 | 9 | 298 | 91 | -4 | +1 | +1 | +1 | +7 | 0.7 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 33 | MLB MLE | DET | 100% | 291 | 259 | 58 | 11 | 4 | 4 | 27 | 55 | 3 | 3 | 1 | 223 | 304 | 340 | 644 | 117 | 266 | 19 | 9 | 291 | 83 | -6 | +0 | -3 | +1 | +6 | -0.1 |
| 2028 | 33 | MLB CTX | DET | 100% | 291 | 259 | 58 | 11 | 4 | 4 | 27 | 55 | 3 | 3 | 1 | 220 | 301 | 333 | 634 | 114 | 262 | 19 | 9 | 287 | 83 | -6 | +0 | -3 | +1 | +6 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 2425 | 2167 | 487 | 99 | 31 | 45 | 209 | 519 | 24 | 65 | 18 | 225 | 300 | 361 | 661 | 137 | 273 | 21 | 9 | 295 | 85 | -40 | +6 | +6 | +7 | +53 | 3.2 | |
| / 162G | — | A+C | — | 650 | 581 | 131 | 27 | 8 | 12 | 56 | 139 | 6 | 17 | 5 | 225 | 300 | 361 | 662 | 136 | 274 | 21 | 9 | 295 | 85 | -11 | +2 | +2 | +2 | +14 | 0.9 | |
| Career | — | MLE | — | 4551 | 4091 | 938 | 175 | 54 | 83 | 365 | 1033 | 55 | 99 | 40 | 229 | 301 | 359 | 660 | 130 | 285 | 23 | 8 | 294 | 85 | -44 | +6 | +8 | +9 | +60 | 3.9 | |
| / 162G | — | MLE | — | 650 | 584 | 134 | 25 | 8 | 12 | 52 | 148 | 8 | 14 | 6 | 229 | 301 | 361 | 663 | 132 | 285 | 23 | 8 | 294 | 85 | -10 | +2 | +2 | +2 | +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.
2022 AAAOklahoma City Dodgers · 223 PAwOBA .394 → .340 (−54)K% 14.8% → 17.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.80% | ÷1.009 | ×1.200 | — | — | 17.60% |
| BB% (unintentional) /PA | 11.66% | ÷1.073 | ×0.690 | — | ×1.003 | 7.52% |
| HBP% /PA | 0.90% | — | ×0.940 | — | ×1.003 | 0.85% |
| Singles /BIP | 29.75% | ÷1.027 | ×0.930 | ×0.992 | ×1.003 | 26.80% |
| Doubles /BIP | 5.70% | ÷0.958 | ×0.830 | ×0.992 | ×1.003 | 4.91% |
| Triples /BIP | 2.53% | ÷0.955 | ×0.970 | ×0.992 | ×1.003 | 2.56% |
| Home runs /BIP | 2.53% | ÷0.997 | ×0.700 | — | ×1.003 | 1.78% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 105, 2B 92, 3B 91, K 102, BB 115 — 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 ×0.992.
Result: wOBA .394 → .340; ISO .152 → .133; BABIP .382 → .343. 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 AAAOklahoma City Dodgers · 171 PAwOBA .377 → .321 (−56)K% 15.2% → 18.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.20% | ÷0.994 | ×1.200 | — | — | 18.35% |
| BB% (unintentional) /PA | 11.70% | ÷1.015 | ×0.690 | — | ×1.018 | 8.10% |
| HBP% /PA | 1.75% | — | ×0.940 | — | ×1.018 | 1.68% |
| Singles /BIP | 18.18% | ÷0.958 | ×0.930 | ×0.983 | ×1.018 | 17.66% |
| Doubles /BIP | 6.61% | ÷0.941 | ×0.830 | ×0.983 | ×1.018 | 5.84% |
| Triples /BIP | 2.48% | ÷0.900 | ×0.920 | ×0.983 | ×1.018 | 2.54% |
| Home runs /BIP | 5.79% | ÷1.016 | ×0.700 | — | ×1.018 | 4.06% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — 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 ×0.983.
Result: wOBA .377 → .321; ISO .238 → .193; BABIP .287 → .269. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2019 AATulsa Drillers · 384 PAwOBA .349 → .286 (−63)K% 19.3% → 24.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.27% | ÷0.954 | ×1.220 | — | — | 24.65% |
| BB% (unintentional) /PA | 9.64% | ÷1.063 | ×0.700 | — | ×1.012 | 6.42% |
| HBP% /PA | 0.78% | — | ×0.870 | — | ×1.012 | 0.69% |
| Singles /BIP | 23.60% | ÷0.997 | ×0.920 | ×0.950 | ×1.012 | 20.92% |
| Doubles /BIP | 5.99% | ÷1.048 | ×0.840 | ×0.950 | ×1.012 | 4.62% |
| Triples /BIP | 1.50% | ÷0.925 | ×0.940 | ×0.950 | ×1.012 | 1.46% |
| Home runs /BIP | 4.49% | ÷0.909 | ×0.800 | — | ×1.012 | 4.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 99, 2B 110, 3B 85, K 91, BB 113 — 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 ×0.950.
Result: wOBA .349 → .286; ISO .176 → .150; BABIP .323 → .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).
2019 AAAOklahoma City Dodgers · 95 PAwOBA .487 → .384 (−103)K% 18.9% → 24.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.95% | ÷1.014 | ×1.290 | — | — | 24.10% |
| BB% (unintentional) /PA | 6.32% | ÷0.993 | ×0.710 | — | ×1.048 | 4.73% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.048 | 0.00% |
| Singles /BIP | 23.94% | ÷1.048 | ×0.900 | — | ×1.048 | 21.56% |
| Doubles /BIP | 11.27% | ÷1.012 | ×0.810 | — | ×1.048 | 9.45% |
| Triples /BIP | 2.82% | ÷1.045 | ×0.810 | — | ×1.048 | 2.29% |
| Home runs /BIP | 9.86% | ÷1.073 | ×0.780 | — | ×1.048 | 7.51% |
Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 110, 2B 102, 3B 109, K 103, BB 99 — 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).
Result: wOBA .487 → .384; ISO .371 → .278; BABIP .422 → .360. 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 A+Rancho Cucamonga Quakes · 114 PAwOBA .405 → .312 (−93)K% 19.3% → 27.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.30% | ÷0.957 | ×1.340 | — | — | 27.03% |
| BB% (unintentional) /PA | 14.91% | ÷1.066 | ×0.710 | — | ×0.998 | 9.91% |
| HBP% /PA | 5.26% | — | ×0.790 | — | ×0.998 | 4.15% |
| Singles /BIP | 26.09% | ÷1.025 | ×0.910 | ×0.993 | ×0.998 | 22.96% |
| Doubles /BIP | 10.14% | ÷1.076 | ×0.820 | ×0.993 | ×0.998 | 7.66% |
| Triples /BIP | 1.45% | ÷1.150 | ×0.760 | ×0.993 | ×0.998 | 0.95% |
| Home runs /BIP | 2.90% | ÷1.058 | ×0.920 | — | ×0.998 | 2.52% |
Factors used: league row CAL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 130, K 91, BB 113 — 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 ×0.993.
Result: wOBA .405 → .312; ISO .165 → .126; BABIP .388 → .324. 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 AATulsa Drillers · 87 PAwOBA .236 → .190 (−45)K% 24.1% → 30.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.14% | ÷0.964 | ×1.220 | — | — | 30.56% |
| BB% (unintentional) /PA | 4.60% | ÷1.033 | ×0.700 | — | ×1.027 | 3.20% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×1.027 | 0.00% |
| Singles /BIP | 17.74% | ÷0.987 | ×0.920 | ×0.983 | ×1.027 | 16.70% |
| Doubles /BIP | 3.23% | ÷0.991 | ×0.840 | ×0.983 | ×1.027 | 2.76% |
| Triples /BIP | 1.61% | ÷0.907 | ×0.940 | ×0.983 | ×1.027 | 1.69% |
| Home runs /BIP | 3.23% | ÷1.147 | ×0.800 | — | ×1.027 | 2.31% |
Factors used: league row TL. Park (home-season share, regressed): HR 129, 1B 97, 2B 98, 3B 81, K 93, BB 107 — 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 ×0.983.
Result: wOBA .236 → .190; ISO .120 → .091; BABIP .233 → .216. 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 AGreat Lakes Loons · 72 PAwOBA .504 → .408 (−96)K% 22.2% → 29.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.22% | ÷1.026 | ×1.360 | — | — | 29.46% |
| BB% (unintentional) /PA | 22.22% | ÷0.962 | ×0.690 | — | ×0.990 | 15.78% |
| HBP% /PA | 4.17% | — | ×0.780 | — | ×0.990 | 3.22% |
| Singles /BIP | 35.14% | ÷0.977 | ×0.920 | — | ×0.990 | 32.75% |
| Doubles /BIP | 5.41% | ÷0.983 | ×0.830 | — | ×0.990 | 4.52% |
| Triples /BIP | 5.41% | ÷1.024 | ×0.910 | — | ×0.990 | 4.75% |
| Home runs /BIP | 8.11% | ÷1.100 | ×0.800 | — | ×0.990 | 5.84% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 95, 2B 97, 3B 105, K 105, BB 92 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average).
Result: wOBA .504 → .408; ISO .283 → .221; BABIP .500 → .446. 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+Rancho Cucamonga Quakes · 355 PAwOBA .269 → .209 (−59)K% 24.5% → 33.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.51% | ÷0.990 | ×1.340 | — | — | 33.18% |
| BB% (unintentional) /PA | 8.17% | ÷1.099 | ×0.710 | — | ×1.012 | 5.34% |
| HBP% /PA | 1.41% | — | ×0.790 | — | ×1.012 | 1.13% |
| Singles /BIP | 24.14% | ÷1.006 | ×0.910 | ×1.001 | ×1.012 | 22.13% |
| Doubles /BIP | 5.60% | ÷1.064 | ×0.820 | ×1.001 | ×1.012 | 4.38% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.760 | ×1.001 | ×1.012 | 0.00% |
| Home runs /BIP | 1.29% | ÷1.085 | ×0.920 | — | ×1.012 | 1.11% |
Factors used: league row CAL. Park (home-season share, regressed): HR 117, 1B 101, 2B 113, 3B 130, K 98, BB 120 — 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 ×1.001.
Result: wOBA .269 → .209; ISO .069 → .052; BABIP .300 → .267. 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).