Sergio Alcántara
SS Lehigh Valley IronPigs| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 28 | AAA/INTL2 orgs | 667 | .273/.390/.418 | 11 | 9 | 90 | — | .219/.307/.325 |
| 2025 | 29 | AAA/INTL2 orgs | 518 | .235/.357/.319 | 2 | 5 | 66 | — | .220/.307/.295 |
| 2026 | 30 | AAA/INTL2 orgs | 165 | .221/.378/.344 | 2 | 4 | 62 | — | .172/.294/.246 |
| 2027PROJ10% MLB | 31 | MLBPHI | 12 | .221/.312/.334 | 0 | 0 | 84 | 0.0 | |
| 2028PROJ27% MLB | 32 | MLBPHI | 31 | .215/.305/.320 | 0 | 0 | 79 | -0.1 |
Tools · ContractCON 50 / POW 35
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) | |||||||||||||||||||||||||||||||
| 2013 | 17 | ROK | ACL D-backs | — | 218 | 169 | 41 | 5 | 4 | 0 | 44 | 36 | 1 | 3 | 2 | 243 | 402 | 320 | 721 | 77 | 304 | 17 | 20 | 336 | 62 | — | — | — | — | — | — |
| 2014 | 18 | ROK | Missoula Osprey | — | 320 | 266 | 65 | 11 | 0 | 1 | 48 | 62 | 1 | 8 | 4 | 244 | 362 | 297 | 659 | 53 | 314 | 19 | 15 | 307 | 41 | — | — | — | — | — | — |
| 2015 | 19 | A | Kane County Cougars | — | 79 | 71 | 8 | 1 | 0 | 0 | 4 | 17 | 1 | 1 | 0 | 113 | 171 | 127 | 298 | 14 | 145 | 22 | 5 | 141 | -33 | — | — | — | — | — | — |
| 2016 | 20 | A+ | Visalia Rawhide | — | 19 | 15 | 4 | 1 | 0 | 0 | 3 | 2 | 1 | 0 | 1 | 267 | 421 | 333 | 754 | 67 | 308 | 11 | 16 | 359 | 91 | — | — | — | — | — | — |
| 2016 | 20 | A | Kane County Cougars | — | 201 | 180 | 48 | 6 | 1 | 1 | 14 | 26 | 0 | 3 | 2 | 267 | 320 | 328 | 647 | 61 | 299 | 13 | 7 | 285 | 62 | — | — | — | — | — | — |
| 2016 | 20 | ROK | ACL D-backs | — | 35 | 29 | 10 | 1 | 1 | 0 | 4 | 2 | 0 | 2 | 0 | 345 | 424 | 448 | 873 | 103 | 370 | 6 | 11 | 369 | 84 | — | — | — | — | — | — |
| 2016 | 20 | INTL | Dominican Republic | — | 125 | 105 | 24 | 1 | 1 | 0 | 18 | 18 | 0 | 1 | 1 | 229 | 341 | 257 | 599 | 29 | 276 | 14 | 14 | 283 | 78 | — | — | — | — | — | — |
| 2017 | 21 | A+ | Lakeland Flying Tigers | — | 521 | 466 | 124 | 19 | 3 | 3 | 48 | 80 | 0 | 15 | 13 | 266 | 335 | 339 | 674 | 73 | 315 | 15 | 9 | 304 | 63 | — | — | — | — | — | — |
| 2017 | 21 | INTL | Tigres del Licey | — | 126 | 106 | 27 | 2 | 0 | 0 | 16 | 15 | 1 | 1 | 0 | 255 | 358 | 274 | 631 | 19 | 297 | 12 | 13 | 294 | 85 | — | — | — | — | — | — |
| 2018 | 22 | AA | Erie SeaWolves | — | 494 | 442 | 120 | 18 | 3 | 1 | 42 | 95 | 1 | 8 | 5 | 271 | 336 | 333 | 669 | 61 | 342 | 19 | 9 | 301 | 74 | — | — | — | — | — | — |
| 2018 | 22 | INTL | Tigres del Licey | — | 103 | 89 | 19 | 5 | 0 | 0 | 10 | 13 | 0 | 1 | 0 | 213 | 293 | 270 | 563 | 56 | 250 | 13 | 10 | 253 | 57 | — | — | — | — | — | — |
| 2019 | 23 | AA | Erie SeaWolves | — | 378 | 324 | 80 | 10 | 0 | 2 | 48 | 71 | 2 | 7 | 6 | 247 | 348 | 296 | 644 | 49 | 308 | 19 | 13 | 300 | 57 | — | — | — | — | — | — |
| 2019 | 23 | INTL | Tigres del Licey | — | 16 | 14 | 4 | 1 | 0 | 0 | 2 | 3 | 0 | 1 | 0 | 286 | 375 | 357 | 732 | 71 | 364 | 19 | 12 | 337 | 114 | — | — | — | — | — | — |
| 2020 | 24 | MLB | Detroit Tigers | — | 23 | 21 | 3 | 0 | 1 | 1 | 2 | 4 | 0 | 0 | 0 | 143 | 217 | 381 | 598 | 238 | 125 | 17 | 9 | 261 | 66 | -1 | +0 | -1 | +0 | +0 | -0.1 |
| 2020 | 24 | INTL | Tigres del Licey | — | 82 | 70 | 18 | 2 | 1 | 2 | 8 | 21 | 2 | 2 | 0 | 257 | 350 | 400 | 750 | 143 | 333 | 26 | 10 | 331 | 110 | — | — | — | — | — | — |
| 2021 | 25 | MLB | Chicago Cubs | — | 255 | 220 | 45 | 6 | 3 | 5 | 30 | 74 | 2 | 3 | 0 | 205 | 306 | 327 | 633 | 123 | 280 | 29 | 12 | 288 | 76 | -7 | +1 | +8 | +5 | +6 | 1.1 |
| 2021 | 25 | AAA | Iowa Cubs | — | 103 | 82 | 25 | 3 | 0 | 3 | 21 | 23 | 0 | 3 | 0 | 305 | 447 | 451 | 898 | 146 | 393 | 22 | 20 | 407 | 113 | — | — | — | — | — | — |
| 2021 | 25 | INTL | Tigres del Licey | — | 86 | 69 | 20 | 4 | 1 | 1 | 16 | 12 | 0 | 0 | 1 | 290 | 424 | 420 | 844 | 130 | 333 | 14 | 19 | 380 | 143 | — | — | — | — | — | — |
| 2022 | 26 | MLB | Arizona Diamondbacks | — | 224 | 205 | 45 | 8 | 1 | 6 | 12 | 57 | 1 | 1 | 2 | 220 | 266 | 356 | 622 | 137 | 267 | 25 | 5 | 271 | 67 | -9 | -1 | -0 | +1 | +5 | -0.4 |
| 2022 | 26 | INTL | Tigres del Licey | — | 114 | 100 | 21 | 4 | 1 | 2 | 12 | 32 | 0 | 0 | 2 | 210 | 295 | 330 | 625 | 120 | 284 | 28 | 11 | 280 | 76 | — | — | — | — | — | — |
| 2023 | 27 | AAA | Reno Aces | — | 403 | 336 | 90 | 17 | 2 | 8 | 59 | 94 | 1 | 0 | 0 | 268 | 379 | 402 | 781 | 134 | 343 | 23 | 15 | 349 | 70 | — | — | — | — | — | — |
| 2023 | 27 | INTL | Dominican Republic | — | 79 | 66 | 9 | 1 | 1 | 0 | 11 | 17 | 0 | 0 | 0 | 136 | 260 | 182 | 442 | 45 | 184 | 22 | 14 | 214 | 31 | — | — | — | — | — | — |
| 2024 | 28 | AAA | Reno Aces | — | 492 | 409 | 111 | 21 | 7 | 8 | 78 | 91 | 2 | 8 | 1 | 271 | 391 | 416 | 806 | 144 | 329 | 18 | 16 | 363 | 77 | — | — | — | — | — | — |
| 2024 | 28 | INTL | Tigres del Licey | — | 175 | 144 | 40 | 10 | 1 | 3 | 26 | 27 | 0 | 1 | 1 | 278 | 388 | 424 | 812 | 146 | 314 | 15 | 15 | 356 | 127 | — | — | — | — | — | — |
| 2025 | 29 | AAA | Reno Aces | — | 441 | 367 | 92 | 21 | 3 | 2 | 67 | 87 | 2 | 4 | 4 | 251 | 369 | 341 | 710 | 90 | 321 | 20 | 15 | 326 | 69 | — | — | — | — | — | — |
| 2025 | 29 | INTL | Tigres del Licey | — | 77 | 63 | 9 | 1 | 1 | 0 | 13 | 20 | 0 | 1 | 0 | 143 | 289 | 190 | 480 | 48 | 205 | 26 | 17 | 238 | 47 | — | — | — | — | — | — |
| 2026 | 30 | AAA | Lehigh Valley IronPigs | — | 144 | 112 | 25 | 8 | 0 | 2 | 31 | 38 | 0 | 4 | 1 | 223 | 392 | 348 | 740 | 125 | 315 | 26 | 22 | 345 | 61 | — | — | — | — | — | — |
| 2026 | 30 | INTL | Tigres del Licey | — | 21 | 19 | 4 | 2 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 211 | 286 | 316 | 602 | 105 | 250 | 14 | 10 | 275 | 72 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 502 | 446 | 93 | 14 | 5 | 12 | 44 | 135 | 3 | 4 | 2 | 209 | 284 | 343 | 627 | 135 | 266 | 27 | 9 | 279 | 75 | -15 | +0 | +6 | +6 | +11 | 0.8 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 17 | ROK MLE | ACL D-backs | — | 218 | 185 | 36 | 4 | 3 | 0 | 28 | 52 | 1 | 3 | 2 | 195 | 304 | 249 | 552 | 54 | 264 | 24 | 13 | 260 | 62 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | Missoula Osprey | — | 320 | 284 | 55 | 8 | 0 | 1 | 30 | 89 | 1 | 8 | 4 | 194 | 273 | 232 | 505 | 39 | 269 | 28 | 9 | 229 | 41 | — | — | — | — | — | — |
| 2015 | 19 | A MLE | Kane County Cougars | — | 79 | 72 | 8 | 1 | 0 | 0 | 3 | 24 | 1 | 1 | 0 | 111 | 158 | 125 | 283 | 14 | 141 | 30 | 4 | 120 | -33 | — | — | — | — | — | — |
| 2016 | 20 | A+ MLE | Visalia Rawhide | — | 19 | 16 | 4 | 1 | 0 | 0 | 2 | 3 | 1 | 0 | 1 | 250 | 368 | 312 | 681 | 62 | 284 | 16 | 11 | 303 | 91 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Kane County Cougars | — | 201 | 184 | 46 | 5 | 1 | 1 | 10 | 34 | 0 | 3 | 2 | 250 | 289 | 304 | 593 | 54 | 285 | 17 | 5 | 260 | 62 | — | — | — | — | — | — |
| 2016 | 20 | ROK MLE | ACL D-backs | — | 35 | 31 | 9 | 1 | 1 | 0 | 2 | 3 | 0 | 2 | 0 | 290 | 333 | 387 | 720 | 97 | 295 | 9 | 6 | 292 | 84 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | Lakeland Flying Tigers | — | 521 | 482 | 116 | 20 | 2 | 2 | 32 | 114 | 0 | 15 | 13 | 241 | 288 | 303 | 591 | 62 | 308 | 22 | 6 | 261 | 63 | — | — | — | — | — | — |
| 2018 | 22 | AA MLE | Erie SeaWolves | — | 494 | 453 | 120 | 17 | 3 | 1 | 31 | 116 | 1 | 8 | 5 | 265 | 313 | 322 | 636 | 57 | 343 | 23 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2019 | 23 | AA MLE | Erie SeaWolves | — | 378 | 339 | 76 | 8 | 0 | 1 | 33 | 87 | 2 | 7 | 6 | 224 | 297 | 257 | 553 | 32 | 290 | 23 | 9 | 252 | 57 | — | — | — | — | — | — |
| 2020 | 24 | MLB MLE | Detroit Tigers | — | 23 | 21 | 3 | 0 | 1 | 1 | 2 | 4 | 0 | 0 | 0 | 143 | 217 | 381 | 598 | 238 | 125 | 17 | 9 | 266 | 66 | -1 | +0 | -1 | +0 | +0 | -0.1 |
| 2021 | 25 | MLB MLE | Chicago Cubs | — | 255 | 222 | 45 | 6 | 3 | 5 | 28 | 74 | 2 | 3 | 0 | 203 | 298 | 324 | 622 | 122 | 280 | 29 | 11 | 280 | 76 | -7 | +1 | +8 | +5 | +6 | 1.1 |
| 2021 | 25 | AAA MLE | Iowa Cubs | — | 103 | 89 | 24 | 3 | 0 | 2 | 14 | 27 | 0 | 3 | 0 | 270 | 369 | 371 | 740 | 101 | 364 | 26 | 14 | 335 | 113 | — | — | — | — | — | — |
| 2022 | 26 | MLB MLE | Arizona Diamondbacks | — | 224 | 205 | 44 | 7 | 1 | 6 | 12 | 57 | 1 | 1 | 2 | 215 | 261 | 346 | 608 | 132 | 267 | 25 | 5 | 267 | 67 | -9 | -1 | -0 | +1 | +5 | -0.4 |
| 2023 | 27 | AAA MLE | Reno Aces | — | 403 | 358 | 80 | 14 | 2 | 6 | 37 | 118 | 1 | 0 | 0 | 223 | 298 | 324 | 622 | 101 | 298 | 29 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2024 | 28 | AAA MLE | Reno Aces | — | 492 | 434 | 95 | 17 | 7 | 5 | 53 | 113 | 2 | 8 | 1 | 219 | 307 | 325 | 632 | 106 | 279 | 23 | 11 | 282 | 77 | — | — | — | — | — | — |
| 2025 | 29 | AAA MLE | Reno Aces | — | 441 | 387 | 85 | 17 | 3 | 2 | 47 | 102 | 2 | 4 | 4 | 220 | 307 | 295 | 602 | 75 | 285 | 23 | 11 | 270 | 69 | — | — | — | — | — | — |
| 2026 | 30 | AAA MLE | Lehigh Valley IronPigs | — | 144 | 122 | 21 | 6 | 0 | 1 | 21 | 46 | 0 | 4 | 1 | 172 | 294 | 246 | 540 | 74 | 258 | 32 | 15 | 259 | 61 | — | — | — | — | — | — |
| 2013 | 17 | ROK MLE | ACL D-backs | — | 218 | 185 | 36 | 4 | 3 | 0 | 28 | 52 | 1 | 3 | 2 | 195 | 304 | 249 | 552 | 54 | 267 | 24 | 13 | 260 | 62 | — | — | — | — | — | — |
| 2013 | 17 | ROK RAW | ACL D-backs | — | 218 | 169 | 41 | 5 | 4 | 0 | 44 | 36 | 1 | 3 | 2 | 243 | 402 | 320 | 721 | 77 | 304 | 17 | 20 | 336 | 62 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | Missoula Osprey | — | 320 | 284 | 55 | 8 | 0 | 1 | 30 | 89 | 1 | 8 | 4 | 194 | 273 | 232 | 505 | 39 | 277 | 28 | 9 | 229 | 41 | — | — | — | — | — | — |
| 2014 | 18 | ROK RAW | Missoula Osprey | — | 320 | 266 | 65 | 11 | 0 | 1 | 48 | 62 | 1 | 8 | 4 | 244 | 362 | 297 | 659 | 53 | 314 | 19 | 15 | 307 | 41 | — | — | — | — | — | — |
| 2015 | 19 | A MLE | Kane County Cougars | — | 79 | 72 | 8 | 1 | 0 | 0 | 3 | 24 | 1 | 1 | 0 | 111 | 158 | 125 | 283 | 14 | 163 | 30 | 4 | 120 | -33 | — | — | — | — | — | — |
| 2015 | 19 | A RAW | Kane County Cougars | — | 79 | 71 | 8 | 1 | 0 | 0 | 4 | 17 | 1 | 1 | 0 | 113 | 171 | 127 | 298 | 14 | 145 | 22 | 5 | 141 | -33 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | 4 teams | — | 380 | 346 | 88 | 10 | 3 | 1 | 22 | 59 | 1 | 6 | 4 | 254 | 301 | 309 | 610 | 55 | 300 | 16 | 6 | 268 | 67 | — | — | — | — | — | — |
| 2016 | 20 | A RAW | 4 teams | — | 380 | 329 | 86 | 9 | 3 | 1 | 39 | 48 | 1 | 6 | 4 | 261 | 341 | 316 | 658 | 55 | 299 | 13 | 10 | 296 | 67 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | 2 teams | — | 647 | 596 | 145 | 25 | 3 | 2 | 40 | 142 | 1 | 16 | 13 | 243 | 292 | 305 | 597 | 62 | 316 | 22 | 6 | 261 | 63 | — | — | — | — | — | — |
| 2017 | 21 | A+ RAW | 2 teams | — | 647 | 572 | 151 | 21 | 3 | 3 | 64 | 95 | 1 | 16 | 13 | 264 | 339 | 327 | 666 | 63 | 312 | 15 | 10 | 302 | 63 | — | — | — | — | — | — |
| 2018 | 22 | AA MLE | 2 teams | — | 597 | 546 | 145 | 20 | 4 | 1 | 37 | 140 | 1 | 9 | 5 | 266 | 313 | 322 | 636 | 57 | 354 | 23 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 22 | AA RAW | 2 teams | — | 597 | 531 | 139 | 23 | 3 | 1 | 52 | 108 | 1 | 9 | 5 | 262 | 329 | 322 | 651 | 60 | 325 | 18 | 9 | 293 | 74 | — | — | — | — | — | — |
| 2019 | 23 | AA MLE | 2 teams | — | 394 | 354 | 78 | 8 | 0 | 1 | 34 | 91 | 2 | 8 | 6 | 220 | 292 | 251 | 544 | 31 | 292 | 23 | 9 | 252 | 57 | — | — | — | — | — | — |
| 2019 | 23 | AA RAW | 2 teams | — | 394 | 338 | 84 | 11 | 0 | 2 | 50 | 74 | 2 | 8 | 6 | 249 | 349 | 299 | 648 | 50 | 311 | 19 | 13 | 302 | 57 | — | — | — | — | — | — |
| 2020 | 24 | INTL MLE | 2 teams | — | 105 | 92 | 15 | 0 | 5 | 5 | 9 | 18 | 2 | 2 | 0 | 163 | 252 | 435 | 687 | 272 | 143 | 17 | 9 | 266 | 66 | — | — | — | — | — | — |
| 2020 | 24 | INTL RAW | 2 teams | — | 105 | 91 | 21 | 2 | 2 | 3 | 10 | 25 | 2 | 2 | 0 | 231 | 320 | 396 | 716 | 165 | 281 | 24 | 10 | 316 | 66 | — | — | — | — | — | — |
| 2021 | 25 | MLB MLE | 3 teams | — | 444 | 386 | 85 | 11 | 3 | 9 | 52 | 125 | 2 | 6 | 1 | 220 | 316 | 334 | 650 | 114 | 298 | 28 | 12 | 296 | 86 | -7 | +1 | +8 | +5 | +10 | 1.6 |
| 2021 | 25 | MLB RAW | 3 teams | — | 444 | 371 | 90 | 13 | 4 | 9 | 67 | 109 | 2 | 6 | 1 | 243 | 361 | 372 | 733 | 129 | 316 | 25 | 15 | 333 | 86 | -7 | +1 | +8 | +5 | +10 | 1.6 |
| 2022 | 26 | MLB MLE | 2 teams | — | 338 | 311 | 67 | 11 | 1 | 10 | 18 | 86 | 1 | 1 | 4 | 215 | 261 | 354 | 614 | 138 | 259 | 25 | 5 | 267 | 67 | -13 | -1 | -0 | +1 | +7 | -0.7 |
| 2022 | 26 | MLB RAW | 2 teams | — | 338 | 305 | 66 | 12 | 2 | 8 | 24 | 89 | 1 | 1 | 4 | 216 | 276 | 348 | 623 | 131 | 272 | 26 | 7 | 274 | 67 | -13 | -1 | -0 | +1 | +7 | -0.7 |
| 2023 | 27 | AAA MLE | 2 teams | — | 482 | 428 | 95 | 16 | 2 | 7 | 44 | 142 | 1 | 0 | 0 | 222 | 296 | 318 | 614 | 96 | 310 | 29 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2023 | 27 | AAA RAW | 2 teams | — | 482 | 402 | 99 | 18 | 3 | 8 | 70 | 111 | 1 | 0 | 0 | 246 | 359 | 366 | 725 | 119 | 316 | 23 | 15 | 327 | 70 | — | — | — | — | — | — |
| 2024 | 28 | AAA MLE | 2 teams | — | 667 | 586 | 128 | 23 | 9 | 7 | 71 | 153 | 2 | 9 | 2 | 218 | 305 | 324 | 629 | 106 | 279 | 23 | 11 | 282 | 77 | — | — | — | — | — | — |
| 2024 | 28 | AAA RAW | 2 teams | — | 667 | 553 | 151 | 31 | 8 | 11 | 104 | 118 | 2 | 9 | 2 | 273 | 390 | 418 | 808 | 145 | 325 | 18 | 16 | 361 | 77 | — | — | — | — | — | — |
| 2025 | 29 | AAA MLE | 2 teams | — | 518 | 455 | 100 | 20 | 4 | 2 | 55 | 120 | 2 | 5 | 4 | 220 | 307 | 295 | 601 | 75 | 292 | 23 | 11 | 270 | 69 | — | — | — | — | — | — |
| 2025 | 29 | AAA RAW | 2 teams | — | 518 | 430 | 101 | 22 | 4 | 2 | 80 | 107 | 2 | 5 | 4 | 235 | 357 | 319 | 676 | 84 | 306 | 21 | 15 | 313 | 69 | — | — | — | — | — | — |
| 2026 | 30 | AAA MLE | 2 teams | — | 165 | 140 | 24 | 7 | 0 | 2 | 24 | 52 | 0 | 4 | 1 | 171 | 293 | 264 | 557 | 93 | 253 | 32 | 15 | 259 | 61 | — | — | — | — | — | — |
| 2026 | 30 | AAA RAW | 2 teams | — | 165 | 131 | 29 | 10 | 0 | 2 | 33 | 41 | 0 | 4 | 1 | 221 | 378 | 344 | 722 | 122 | 303 | 25 | 20 | 336 | 61 | — | — | — | — | — | — |
| 2013 | 17 | ROK MLE | ACL D-backs | — | 218 | 187 | 36 | 4 | 3 | 0 | 28 | 52 | 1 | 3 | 2 | 193 | 304 | 246 | 550 | 53 | 264 | 24 | 13 | 260 | 62 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | Missoula Osprey | — | 320 | 286 | 55 | 8 | 0 | 1 | 30 | 89 | 1 | 8 | 4 | 192 | 273 | 231 | 504 | 38 | 269 | 28 | 9 | 229 | 41 | — | — | — | — | — | — |
| 2015 | 19 | A MLE | Kane County Cougars | — | 79 | 75 | 8 | 1 | 0 | 0 | 3 | 24 | 1 | 1 | 0 | 107 | 158 | 120 | 278 | 13 | 141 | 30 | 4 | 120 | -33 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | 4 teams | — | 380 | 354 | 88 | 10 | 3 | 1 | 22 | 59 | 1 | 6 | 4 | 249 | 301 | 302 | 603 | 54 | 286 | 16 | 6 | 268 | 67 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | 2 teams | — | 647 | 601 | 145 | 25 | 3 | 2 | 40 | 142 | 1 | 16 | 13 | 241 | 292 | 303 | 595 | 62 | 308 | 22 | 6 | 261 | 63 | — | — | — | — | — | — |
| 2018 | 22 | AA MLE | 2 teams | — | 597 | 554 | 145 | 20 | 4 | 1 | 37 | 140 | 1 | 9 | 5 | 262 | 313 | 318 | 631 | 56 | 343 | 23 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2019 | 23 | AA MLE | 2 teams | — | 394 | 355 | 78 | 8 | 0 | 1 | 34 | 91 | 2 | 8 | 6 | 220 | 292 | 251 | 543 | 31 | 290 | 23 | 9 | 252 | 57 | — | — | — | — | — | — |
| 2020 | 24 | INTL MLE | 2 teams | — | 105 | 93 | 15 | 0 | 5 | 5 | 9 | 18 | 2 | 2 | 0 | 161 | 252 | 430 | 683 | 269 | 125 | 17 | 9 | 266 | 66 | — | — | — | — | — | — |
| 2021 | 25 | MLB MLE | 3 teams | — | 444 | 387 | 85 | 11 | 3 | 9 | 52 | 125 | 2 | 6 | 1 | 220 | 316 | 333 | 649 | 114 | 304 | 28 | 12 | 296 | 86 | — | — | — | — | — | — |
| 2022 | 26 | MLB MLE | 2 teams | — | 338 | 316 | 67 | 11 | 1 | 10 | 18 | 86 | 1 | 1 | 4 | 212 | 261 | 348 | 609 | 136 | 267 | 25 | 5 | 267 | 67 | — | — | — | — | — | — |
| 2023 | 27 | AAA MLE | 2 teams | — | 482 | 434 | 95 | 16 | 2 | 7 | 44 | 142 | 1 | 0 | 0 | 219 | 296 | 313 | 609 | 94 | 298 | 29 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2024 | 28 | AAA MLE | 2 teams | — | 667 | 589 | 128 | 23 | 9 | 7 | 71 | 153 | 2 | 9 | 2 | 217 | 305 | 323 | 628 | 105 | 279 | 23 | 11 | 282 | 77 | — | — | — | — | — | — |
| 2025 | 29 | AAA MLE | 2 teams | — | 518 | 456 | 100 | 20 | 4 | 2 | 55 | 120 | 2 | 5 | 4 | 219 | 307 | 294 | 601 | 75 | 285 | 23 | 11 | 270 | 69 | — | — | — | — | — | — |
| 2026 | 30 | AAA MLE | 2 teams | — | 165 | 140 | 24 | 7 | 0 | 2 | 24 | 52 | 0 | 4 | 1 | 171 | 293 | 264 | 557 | 93 | 258 | 32 | 15 | 259 | 61 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 28 | AAA MLE | 2 teams | — | 667 | 589 | 128 | 23 | 9 | 7 | 71 | 153 | 2 | 9 | 2 | 217 | 305 | 323 | 628 | 105 | 279 | 23 | 11 | 282 | 77 | — | — | — | — | — | — |
| 2025 | 29 | AAA MLE | 2 teams | — | 518 | 456 | 100 | 20 | 4 | 2 | 55 | 120 | 2 | 5 | 4 | 219 | 307 | 294 | 601 | 75 | 285 | 23 | 11 | 270 | 69 | — | — | — | — | — | — |
| 2026 | 30 | AAA MLE | 2 teams | — | 165 | 140 | 24 | 7 | 0 | 2 | 24 | 52 | 0 | 4 | 1 | 171 | 293 | 264 | 557 | 93 | 258 | 32 | 15 | 259 | 61 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 31 | MLB MLE | PHI | 10% | 200 | 175 | 38 | 8 | 1 | 3 | 22 | 48 | 1 | 3 | 1 | 221 | 312 | 331 | 643 | 110 | 285 | 24 | 11 | 293 | 84 | -4 | +0 | +0 | +2 | +4 | 0.2 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 31 | MLB CTX | PHI | 10% | 12 | 11 | 2 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 221 | 312 | 334 | 647 | 113 | 285 | 25 | 8 | 294 | 84 | -0 | +0 | +0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 32 | MLB MLE | PHI | 27% | 112 | 99 | 21 | 4 | 1 | 1 | 12 | 28 | 0 | 1 | 0 | 214 | 305 | 317 | 621 | 102 | 280 | 25 | 11 | 284 | 79 | -3 | +0 | -3 | +1 | +2 | -0.2 |
| 2028 | 32 | MLB CTX | PHI | 27% | 31 | 28 | 5 | 1 | 0 | 0 | 3 | 8 | 0 | 0 | 0 | 215 | 305 | 320 | 625 | 105 | 280 | 26 | 10 | 286 | 79 | -1 | +0 | -1 | +0 | +1 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 533 | 474 | 98 | 15 | 5 | 12 | 47 | 143 | 3 | 4 | 2 | 207 | 282 | 335 | 618 | 129 | 265 | 27 | 9 | 279 | 67 | -16 | +0 | +5 | +7 | +12 | 0.8 | |
| / 162G | — | A+C | — | 650 | 578 | 119 | 18 | 6 | 15 | 57 | 174 | 4 | 5 | 2 | 206 | 282 | 336 | 617 | 130 | 263 | 27 | 9 | 279 | 67 | -19 | +0 | +6 | +8 | +14 | 0.9 | |
| Career | — | MLE | — | 5590 | 4988 | 1114 | 173 | 39 | 51 | 493 | 1351 | 19 | 81 | 47 | 223 | 296 | 304 | 600 | 81 | 293 | 24 | 9 | 267 | 67 | -20 | +0 | +3 | +9 | +16 | 0.8 | |
| / 162G | — | MLE | — | 650 | 580 | 130 | 20 | 5 | 6 | 57 | 157 | 2 | 9 | 5 | 224 | 296 | 307 | 603 | 83 | 294 | 24 | 9 | 267 | 67 | -18 | +0 | +3 | +8 | +14 | 0.7 | |
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 AAALehigh Valley IronPigs · 144 PAwOBA .340 → .259 (−80)K% 26.4% → 31.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.39% | ÷1.000 | ×1.200 | — | — | 31.67% |
| BB% (unintentional) /PA | 21.53% | ÷1.000 | ×0.690 | — | ×0.972 | 14.44% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.972 | 0.00% |
| Singles /BIP | 20.27% | ÷1.000 | ×0.930 | ×0.950 | ×0.972 | 17.41% |
| Doubles /BIP | 10.81% | ÷1.000 | ×0.830 | ×0.950 | ×0.972 | 8.29% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | ×0.950 | ×0.972 | 0.00% |
| Home runs /BIP | 2.70% | ÷1.000 | ×0.700 | — | ×0.972 | 1.84% |
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 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .340 → .259; ISO .125 → .096; BABIP .315 → .258. 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 AAAReno Aces · 441 PAwOBA .320 → .270 (−51)K% 19.7% → 23.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.73% | ÷1.025 | ×1.200 | — | — | 23.09% |
| BB% (unintentional) /PA | 15.19% | ÷0.964 | ×0.690 | — | ×0.982 | 10.68% |
| HBP% /PA | 0.45% | — | ×0.940 | — | ×0.982 | 0.42% |
| Singles /BIP | 23.57% | ÷0.994 | ×0.930 | ×1.003 | ×0.982 | 21.71% |
| Doubles /BIP | 7.50% | ÷1.069 | ×0.830 | ×1.003 | ×0.982 | 5.73% |
| Triples /BIP | 1.07% | ÷0.902 | ×0.970 | ×1.003 | ×0.982 | 1.13% |
| Home runs /BIP | 0.71% | ÷0.904 | ×0.700 | — | ×0.982 | 0.54% |
Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 99, 2B 114, 3B 80, K 105, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.
Result: wOBA .320 → .270; ISO .090 → .076; BABIP .321 → .285. 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 AAAReno Aces · 492 PAwOBA .357 → .282 (−75)K% 18.5% → 23.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.50% | ÷0.964 | ×1.200 | — | — | 23.03% |
| BB% (unintentional) /PA | 15.85% | ÷1.012 | ×0.690 | — | ×0.992 | 10.72% |
| HBP% /PA | 0.41% | — | ×0.940 | — | ×0.992 | 0.38% |
| Singles /BIP | 23.58% | ÷1.076 | ×0.930 | ×1.005 | ×0.992 | 20.33% |
| Doubles /BIP | 6.60% | ÷1.025 | ×0.830 | ×1.005 | ×0.992 | 5.34% |
| Triples /BIP | 2.20% | ÷1.017 | ×0.970 | ×1.005 | ×0.992 | 2.09% |
| Home runs /BIP | 2.52% | ÷1.124 | ×0.700 | — | ×0.992 | 1.55% |
Factors used: league row International League. Park (home-season share, regressed): HR 125, 1B 115, 2B 105, 3B 103, K 93, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.
Result: wOBA .357 → .282; ISO .144 → .112; BABIP .329 → .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).
2023 AAAReno Aces · 403 PAwOBA .344 → .272 (−72)K% 23.3% → 29.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.33% | ÷0.951 | ×1.200 | — | — | 29.42% |
| BB% (unintentional) /PA | 14.39% | ÷1.096 | ×0.690 | — | ×1.003 | 9.09% |
| HBP% /PA | 0.25% | — | ×0.940 | — | ×1.003 | 0.23% |
| Singles /BIP | 26.03% | ÷1.026 | ×0.930 | ×0.995 | ×1.003 | 23.56% |
| Doubles /BIP | 7.02% | ÷1.059 | ×0.830 | ×0.995 | ×1.003 | 5.49% |
| Triples /BIP | 0.83% | ÷1.150 | ×0.970 | ×0.995 | ×1.003 | 0.70% |
| Home runs /BIP | 3.31% | ÷1.012 | ×0.700 | — | ×1.003 | 2.29% |
Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 105, 2B 112, 3B 130, K 90, BB 119 — 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 ×0.995.
Result: wOBA .344 → .272; ISO .134 → .101; BABIP .343 → .298. 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 AAAIowa Cubs · 103 PAwOBA .395 → .335 (−59)K% 22.3% → 26.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.33% | ÷1.032 | ×1.200 | — | — | 25.96% |
| BB% (unintentional) /PA | 19.42% | ÷1.023 | ×0.690 | — | ×1.033 | 13.53% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.033 | 0.00% |
| Singles /BIP | 32.20% | ÷1.039 | ×0.930 | ×1.025 | ×1.033 | 30.51% |
| Doubles /BIP | 5.08% | ÷0.963 | ×0.830 | ×1.025 | ×1.033 | 4.64% |
| Triples /BIP | 0.00% | ÷0.988 | ×0.920 | ×1.025 | ×1.033 | 0.00% |
| Home runs /BIP | 5.08% | ÷1.081 | ×0.700 | — | ×1.033 | 3.40% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 108, 2B 93, 3B 98, K 106, BB 105 — 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 ×1.025.
Result: wOBA .395 → .335; ISO .146 → .113; BABIP .393 → .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).
2019 AAErie SeaWolves · 378 PAwOBA .295 → .252 (−42)K% 18.8% → 23.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.78% | ÷0.994 | ×1.220 | — | — | 23.05% |
| BB% (unintentional) /PA | 12.70% | ÷1.050 | ×0.700 | — | ×1.027 | 8.69% |
| HBP% /PA | 0.53% | — | ×0.850 | — | ×1.027 | 0.46% |
| Singles /BIP | 26.88% | ÷0.978 | ×0.970 | ×0.950 | ×1.027 | 26.00% |
| Doubles /BIP | 3.95% | ÷1.077 | ×0.860 | ×0.950 | ×1.027 | 3.08% |
| Triples /BIP | 0.00% | ÷1.127 | ×0.950 | ×0.950 | ×1.027 | 0.00% |
| Home runs /BIP | 0.79% | ÷1.294 | ×0.780 | — | ×1.027 | 0.49% |
Factors used: league row EL. Park (home-season share, regressed): HR 159, 1B 96, 2B 115, 3B 125, K 99, BB 110 — 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 ×0.950.
Result: wOBA .295 → .252; ISO .049 → .036; BABIP .308 → .290. 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 · 494 PAwOBA .295 → .278 (−17)K% 19.2% → 23.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.23% | ÷0.999 | ×1.220 | — | — | 23.49% |
| BB% (unintentional) /PA | 8.50% | ÷1.007 | ×0.700 | — | ×1.042 | 6.16% |
| HBP% /PA | 0.20% | — | ×0.850 | — | ×1.042 | 0.18% |
| Singles /BIP | 28.24% | ÷1.016 | ×0.970 | ×1.019 | ×1.042 | 28.61% |
| Doubles /BIP | 5.19% | ÷0.974 | ×0.860 | ×1.019 | ×1.042 | 4.86% |
| Triples /BIP | 0.86% | ÷0.901 | ×0.950 | ×1.019 | ×1.042 | 0.97% |
| Home runs /BIP | 0.29% | ÷1.112 | ×0.780 | — | ×1.042 | 0.21% |
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 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 ×1.019.
Result: wOBA .295 → .278; ISO .061 → .058; BABIP .342 → .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).
2017 A+Lakeland Flying Tigers · 521 PAwOBA .297 → .261 (−36)K% 15.4% → 21.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.36% | ÷0.995 | ×1.420 | — | — | 21.92% |
| BB% (unintentional) /PA | 9.21% | ÷1.138 | ×0.750 | — | ×1.027 | 6.24% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×1.027 | 0.00% |
| Singles /BIP | 25.65% | ÷1.012 | ×0.920 | ×1.029 | ×1.027 | 24.63% |
| Doubles /BIP | 4.92% | ÷0.918 | ×0.960 | ×1.029 | ×1.027 | 5.44% |
| Triples /BIP | 0.78% | ÷1.039 | ×0.810 | ×1.029 | ×1.027 | 0.64% |
| Home runs /BIP | 0.78% | ÷1.747 | ×0.880 | — | ×1.027 | 0.40% |
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 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.
Result: wOBA .297 → .261; ISO .073 → .064; BABIP .315 → .308. 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 — .