Heliot Ramos
LF New York Yankees| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 24 | AAASF | 134 | .296/.391/.565 | 8 | 2 | 122 | — | .275/.346/.483 |
| 2024 | 24 | MLBSF | 518 | .269/.325/.469 | 22 | 6 | 125 | 2.6 | |
| 2025 | 25 | MLBSF | 695 | .256/.331/.400 | 21 | 6 | 111 | 0.5 | |
| 2026 | 26 | AAASF | 31 | .346/.452/.577 | 1 | 0 | 124 | — | .286/.355/.464 |
| 2026 | 26 | MLBNYY | 442 | .245/.307/.411 | 13 | 4 | 97 | 0.2 | |
| 2027PROJ | 27 | MLBNYY | 498 | .253/.317/.432 | 19 | 5 | 107 | 0.9 | |
| 2028PROJ | 28 | MLBNYY | 614 | .250/.315/.426 | 22 | 5 | 105 | 0.9 | |
| 2029PROJ | 29 | MLBNYY | 614 | .248/.312/.419 | 22 | 3 | 102 | 0.6 |
Tools · Recent Form · Splits · ContractCON 50 / POW 55
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) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK | AZL Giants | — | 151 | 138 | 48 | 11 | 6 | 6 | 10 | 48 | 3 | 10 | 2 | 348 | 404 | 645 | 1.049 | 297 | 500 | 32 | 7 | 451 | 80 | — | — | — | — | — | — |
| 2018 | 18 | A | Augusta GreenJackets | — | 535 | 485 | 119 | 24 | 8 | 11 | 35 | 136 | 13 | 8 | 7 | 245 | 313 | 396 | 709 | 151 | 319 | 25 | 7 | 317 | 56 | — | — | — | — | — | — |
| 2018 | 18 | INTL | Cangrejeros de Santurce | — | 68 | 66 | 17 | 7 | 1 | 1 | 1 | 15 | 1 | 0 | 0 | 258 | 279 | 439 | 719 | 182 | 320 | 22 | 1 | 314 | 99 | — | — | — | — | — | — |
| 2019 | 19 | AA | Richmond Flying Squirrels | — | 106 | 95 | 23 | 6 | 1 | 3 | 10 | 33 | 1 | 2 | 3 | 242 | 321 | 421 | 742 | 179 | 339 | 31 | 9 | 331 | 72 | — | — | — | — | — | — |
| 2019 | 19 | A+ | San Jose Giants | — | 338 | 294 | 90 | 18 | 0 | 13 | 32 | 85 | 8 | 6 | 7 | 306 | 389 | 500 | 889 | 194 | 385 | 25 | 9 | 390 | 99 | — | — | — | — | — | — |
| 2019 | 19 | INTL | Scottsdale Scorpions | — | 72 | 65 | 12 | 2 | 0 | 1 | 5 | 23 | 1 | 1 | 1 | 185 | 254 | 262 | 515 | 77 | 262 | 32 | 7 | 236 | 46 | — | — | — | — | — | — |
| 2021 | 21 | AAA | Sacramento River Cats | — | 229 | 213 | 58 | 11 | 2 | 4 | 15 | 65 | 1 | 8 | 2 | 272 | 323 | 399 | 722 | 127 | 375 | 28 | 7 | 323 | 73 | — | — | — | — | — | — |
| 2021 | 21 | AA | Richmond Flying Squirrels | — | 266 | 236 | 56 | 14 | 1 | 10 | 27 | 73 | 3 | 7 | 2 | 237 | 323 | 432 | 756 | 195 | 301 | 27 | 10 | 336 | 75 | — | — | — | — | — | — |
| 2022 | 22 | MLB | San Francisco Giants | — | 22 | 20 | 2 | 0 | 0 | 0 | 2 | 6 | 0 | 0 | 0 | 100 | 182 | 100 | 282 | 143 | 27 | 9 | 146 | -14 | -3 | +0 | -2 | -5 | +0 | -1.0 | |
| 2022 | 22 | AAA | Sacramento River Cats | — | 475 | 427 | 97 | 17 | 1 | 11 | 41 | 112 | 7 | 6 | 6 | 227 | 305 | 349 | 654 | 122 | 283 | 24 | 9 | 298 | 58 | — | — | — | — | — | — |
| 2023 | 23 | MLB | San Francisco Giants | — | 60 | 56 | 10 | 4 | 0 | 1 | 4 | 20 | 0 | 0 | 0 | 179 | 233 | 304 | 537 | 125 | 257 | 33 | 7 | 242 | 52 | -3 | +0 | +0 | -5 | +1 | -0.7 |
| 2023 | 23 | AAA | Sacramento River Cats | — | 263 | 227 | 68 | 14 | 3 | 12 | 27 | 66 | 5 | 9 | 4 | 300 | 386 | 546 | 932 | 247 | 368 | 25 | 10 | 402 | 124 | — | — | — | — | — | — |
| 2023 | 23 | A | San Jose Giants | — | 19 | 17 | 6 | 3 | 0 | 2 | 2 | 4 | 0 | 0 | 1 | 353 | 421 | 882 | 1.303 | 529 | 364 | 21 | 11 | 543 | 156 | — | — | — | — | — | — |
| 2023 | 23 | INTL | Puerto Rico | — | 112 | 98 | 22 | 5 | 3 | 1 | 11 | 28 | 3 | 1 | 2 | 224 | 321 | 367 | 689 | 143 | 304 | 25 | 10 | 312 | 98 | — | — | — | — | — | — |
| 2024 | 24 | MLB | San Francisco Giants | — | 518 | 475 | 128 | 23 | 3 | 22 | 37 | 135 | 2 | 6 | 1 | 269 | 325 | 469 | 794 | 200 | 329 | 26 | 7 | 347 | 125 | +16 | +1 | -5 | +2 | +11 | 2.6 |
| 2024 | 24 | AAA | Sacramento River Cats | — | 134 | 115 | 34 | 3 | 2 | 8 | 16 | 37 | 2 | 2 | 0 | 296 | 391 | 565 | 956 | 270 | 366 | 28 | 12 | 413 | 122 | — | — | — | — | — | — |
| 2025 | 25 | MLB | San Francisco Giants | — | 695 | 620 | 159 | 24 | 1 | 21 | 52 | 158 | 17 | 6 | 4 | 256 | 331 | 400 | 731 | 144 | 309 | 23 | 7 | 327 | 111 | +9 | -0 | -12 | -7 | +15 | 0.5 |
| 2026 | 26 | MLB | New York Yankees | — | 442 | 404 | 99 | 20 | 4 | 13 | 31 | 121 | 5 | 4 | 1 | 245 | 307 | 411 | 718 | 166 | 316 | 27 | 7 | 318 | 97 | -2 | +0 | -1 | -5 | +10 | 0.2 |
| 2026 | 26 | AAA | Sacramento River Cats | — | 31 | 26 | 9 | 3 | 0 | 1 | 5 | 9 | 0 | 0 | 0 | 346 | 452 | 577 | 1.029 | 231 | 500 | 29 | 16 | 450 | 124 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 1737 | 1575 | 398 | 71 | 8 | 57 | 126 | 440 | 24 | 16 | 6 | 253 | 318 | 417 | 734 | 164 | 313 | 25 | 7 | 325 | 106 | +13 | +1 | -19 | -20 | +38 | 1.3 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK MLE | AZL Giants | — | 151 | 142 | 32 | 7 | 4 | 4 | 6 | 69 | 3 | 10 | 2 | 225 | 272 | 415 | 687 | 190 | 401 | 46 | 4 | 287 | 80 | — | — | — | — | — | — |
| 2018 | 18 | A MLE | Augusta GreenJackets | — | 535 | 498 | 103 | 20 | 6 | 8 | 22 | 184 | 13 | 8 | 7 | 207 | 259 | 319 | 578 | 112 | 304 | 34 | 4 | 251 | 56 | — | — | — | — | — | — |
| 2019 | 19 | AA MLE | Richmond Flying Squirrels | — | 106 | 98 | 21 | 5 | 1 | 3 | 7 | 41 | 1 | 2 | 3 | 214 | 274 | 378 | 651 | 163 | 334 | 39 | 7 | 274 | 72 | — | — | — | — | — | — |
| 2019 | 19 | A+ MLE | San Jose Giants | — | 338 | 302 | 74 | 14 | 0 | 12 | 24 | 117 | 8 | 6 | 7 | 245 | 317 | 411 | 728 | 166 | 336 | 35 | 7 | 314 | 99 | — | — | — | — | — | — |
| 2021 | 21 | AAA MLE | Sacramento River Cats | — | 229 | 217 | 52 | 10 | 2 | 3 | 11 | 75 | 1 | 8 | 2 | 240 | 279 | 346 | 625 | 106 | 360 | 33 | 5 | 276 | 73 | — | — | — | — | — | — |
| 2021 | 21 | AA MLE | Richmond Flying Squirrels | — | 266 | 246 | 53 | 12 | 1 | 9 | 17 | 89 | 3 | 7 | 2 | 215 | 274 | 382 | 657 | 167 | 294 | 33 | 6 | 279 | 75 | — | — | — | — | — | — |
| 2022 | 22 | MLB MLE | San Francisco Giants | — | 22 | 20 | 2 | 0 | 0 | 0 | 2 | 6 | 0 | 0 | 0 | 100 | 182 | 100 | 282 | 143 | 27 | 9 | 147 | -14 | -3 | +0 | -2 | -5 | +0 | -1.0 | |
| 2022 | 22 | AAA MLE | Sacramento River Cats | — | 475 | 439 | 91 | 15 | 1 | 8 | 29 | 136 | 7 | 6 | 6 | 207 | 267 | 301 | 568 | 93 | 282 | 29 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2023 | 23 | MLB MLE | San Francisco Giants | — | 60 | 56 | 10 | 4 | 0 | 1 | 4 | 20 | 0 | 0 | 0 | 179 | 233 | 304 | 537 | 125 | 257 | 33 | 7 | 246 | 52 | -3 | +0 | +0 | -5 | +1 | -0.7 |
| 2023 | 23 | AAA MLE | Sacramento River Cats | — | 263 | 234 | 65 | 13 | 3 | 9 | 20 | 73 | 5 | 9 | 4 | 278 | 347 | 474 | 822 | 197 | 354 | 28 | 8 | 351 | 124 | — | — | — | — | — | — |
| 2023 | 23 | A MLE | San Jose Giants | — | 19 | 18 | 5 | 2 | 0 | 2 | 1 | 6 | 0 | 0 | 1 | 278 | 316 | 722 | 1.038 | 444 | 293 | 32 | 5 | 399 | 156 | — | — | — | — | — | — |
| 2024 | 24 | MLB MLE | San Francisco Giants | — | 518 | 477 | 131 | 23 | 3 | 24 | 35 | 135 | 2 | 6 | 1 | 275 | 327 | 486 | 813 | 212 | 329 | 26 | 7 | 354 | 125 | +16 | +1 | -5 | +2 | +11 | 2.6 |
| 2024 | 24 | AAA MLE | Sacramento River Cats | — | 134 | 120 | 33 | 3 | 2 | 6 | 11 | 41 | 2 | 2 | 0 | 275 | 346 | 483 | 829 | 208 | 352 | 31 | 8 | 348 | 122 | — | — | — | — | — | — |
| 2025 | 25 | MLB MLE | San Francisco Giants | — | 695 | 622 | 163 | 24 | 1 | 23 | 50 | 158 | 17 | 6 | 4 | 262 | 334 | 415 | 749 | 153 | 309 | 23 | 7 | 332 | 111 | +9 | -0 | -12 | -7 | +15 | 0.5 |
| 2026 | 26 | MLB MLE | New York Yankees | — | 442 | 406 | 98 | 20 | 4 | 12 | 29 | 121 | 5 | 4 | 1 | 241 | 300 | 399 | 699 | 158 | 316 | 27 | 7 | 312 | 97 | -2 | +0 | -1 | -5 | +10 | 0.2 |
| 2026 | 26 | AAA MLE | Sacramento River Cats | — | 31 | 28 | 8 | 2 | 0 | 1 | 3 | 11 | 0 | 0 | 0 | 286 | 355 | 464 | 819 | 179 | 439 | 35 | 10 | 351 | 124 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | AZL Giants | — | 151 | 142 | 32 | 7 | 4 | 4 | 6 | 69 | 3 | 10 | 2 | 225 | 272 | 415 | 687 | 190 | 406 | 46 | 4 | 287 | 80 | — | — | — | — | — | — |
| 2017 | 17 | ROK RAW | AZL Giants | — | 151 | 138 | 48 | 11 | 6 | 6 | 10 | 48 | 3 | 10 | 2 | 348 | 404 | 645 | 1.049 | 297 | 500 | 32 | 7 | 451 | 80 | — | — | — | — | — | — |
| 2018 | 18 | A MLE | 2 teams | — | 603 | 562 | 116 | 22 | 7 | 9 | 25 | 207 | 14 | 8 | 7 | 206 | 258 | 319 | 576 | 112 | 308 | 34 | 4 | 251 | 56 | — | — | — | — | — | — |
| 2018 | 18 | A RAW | 2 teams | — | 603 | 551 | 136 | 31 | 9 | 12 | 36 | 151 | 14 | 8 | 7 | 247 | 309 | 401 | 711 | 154 | 319 | 25 | 6 | 316 | 56 | — | — | — | — | — | — |
| 2019 | 19 | A+ MLE | 3 teams | — | 516 | 465 | 109 | 22 | 1 | 17 | 36 | 184 | 10 | 9 | 11 | 234 | 303 | 396 | 699 | 161 | 342 | 36 | 7 | 304 | 92 | — | — | — | — | — | — |
| 2019 | 19 | A+ RAW | 3 teams | — | 516 | 454 | 125 | 26 | 1 | 17 | 47 | 141 | 10 | 9 | 11 | 275 | 356 | 449 | 806 | 174 | 359 | 27 | 9 | 356 | 92 | — | — | — | — | — | — |
| 2021 | 21 | AA MLE | 2 teams | — | 495 | 463 | 105 | 22 | 3 | 11 | 28 | 164 | 4 | 15 | 4 | 227 | 277 | 359 | 635 | 132 | 326 | 33 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2021 | 21 | AA RAW | 2 teams | — | 495 | 449 | 114 | 25 | 3 | 14 | 42 | 138 | 4 | 15 | 4 | 254 | 323 | 416 | 740 | 163 | 337 | 28 | 8 | 330 | 74 | — | — | — | — | — | — |
| 2022 | 22 | AAA MLE | 2 teams | — | 497 | 459 | 93 | 15 | 1 | 8 | 31 | 142 | 7 | 6 | 6 | 203 | 264 | 292 | 556 | 89 | 275 | 29 | 6 | 249 | 55 | — | — | — | — | — | — |
| 2022 | 22 | AAA RAW | 2 teams | — | 497 | 447 | 99 | 17 | 1 | 11 | 43 | 118 | 7 | 6 | 6 | 221 | 300 | 338 | 638 | 116 | 277 | 24 | 9 | 291 | 55 | — | — | — | — | — | — |
| 2023 | 23 | AAA MLE | 4 teams | — | 454 | 408 | 105 | 25 | 4 | 15 | 34 | 131 | 8 | 10 | 7 | 257 | 327 | 449 | 775 | 191 | 340 | 29 | 7 | 335 | 113 | — | — | — | — | — | — |
| 2023 | 23 | AAA RAW | 4 teams | — | 454 | 398 | 106 | 26 | 6 | 16 | 44 | 118 | 8 | 10 | 7 | 266 | 351 | 482 | 834 | 216 | 337 | 26 | 10 | 364 | 113 | — | — | — | — | — | — |
| 2024 | 24 | MLB MLE | 2 teams | — | 652 | 597 | 163 | 25 | 5 | 30 | 46 | 176 | 4 | 8 | 1 | 273 | 329 | 482 | 812 | 209 | 336 | 27 | 7 | 352 | 125 | +19 | +1 | -5 | +2 | +14 | 3.3 |
| 2024 | 24 | MLB RAW | 2 teams | — | 652 | 590 | 162 | 26 | 5 | 30 | 53 | 172 | 4 | 8 | 1 | 275 | 338 | 488 | 827 | 214 | 336 | 26 | 8 | 361 | 125 | +19 | +1 | -5 | +2 | +14 | 3.3 |
| 2025 | 25 | MLB MLE | San Francisco Giants | — | 695 | 622 | 163 | 24 | 1 | 23 | 50 | 158 | 17 | 6 | 4 | 262 | 334 | 415 | 749 | 153 | 313 | 23 | 7 | 332 | 111 | +9 | -0 | -12 | -7 | +15 | 0.5 |
| 2025 | 25 | MLB RAW | San Francisco Giants | — | 695 | 620 | 159 | 24 | 1 | 21 | 52 | 158 | 17 | 6 | 4 | 256 | 331 | 400 | 731 | 144 | 309 | 23 | 7 | 327 | 111 | +9 | -0 | -12 | -7 | +15 | 0.5 |
| 2026 | 26 | MLB MLE | 2 teams | — | 473 | 434 | 107 | 23 | 4 | 13 | 32 | 132 | 5 | 4 | 1 | 247 | 306 | 408 | 714 | 161 | 323 | 28 | 7 | 314 | 99 | -1 | +0 | -1 | -5 | +10 | 0.4 |
| 2026 | 26 | MLB RAW | 2 teams | — | 473 | 430 | 108 | 23 | 4 | 14 | 36 | 130 | 5 | 4 | 1 | 251 | 316 | 421 | 737 | 170 | 326 | 27 | 8 | 327 | 99 | -1 | +0 | -1 | -5 | +10 | 0.4 |
| 2017 | 17 | ROK MLE | AZL Giants | — | 151 | 141 | 32 | 7 | 4 | 4 | 6 | 69 | 3 | 10 | 2 | 227 | 272 | 418 | 690 | 191 | 401 | 46 | 4 | 287 | 80 | — | — | — | — | — | — |
| 2018 | 18 | A MLE | 2 teams | — | 603 | 559 | 116 | 22 | 7 | 9 | 25 | 207 | 14 | 8 | 7 | 208 | 258 | 320 | 578 | 113 | 304 | 34 | 4 | 251 | 56 | — | — | — | — | — | — |
| 2019 | 19 | A+ MLE | 3 teams | — | 516 | 465 | 109 | 22 | 1 | 17 | 36 | 184 | 10 | 9 | 11 | 234 | 303 | 396 | 699 | 161 | 336 | 36 | 7 | 304 | 92 | — | — | — | — | — | — |
| 2021 | 21 | AA MLE | 2 teams | — | 495 | 460 | 105 | 22 | 3 | 11 | 28 | 164 | 4 | 15 | 4 | 228 | 277 | 361 | 638 | 133 | 325 | 33 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2022 | 22 | AAA MLE | 2 teams | — | 497 | 456 | 93 | 15 | 1 | 8 | 31 | 142 | 7 | 6 | 6 | 204 | 264 | 294 | 557 | 90 | 276 | 29 | 6 | 249 | 55 | — | — | — | — | — | — |
| 2023 | 23 | AAA MLE | 4 teams | — | 454 | 409 | 105 | 25 | 4 | 15 | 34 | 131 | 8 | 10 | 7 | 257 | 327 | 447 | 774 | 191 | 334 | 29 | 7 | 335 | 113 | — | — | — | — | — | — |
| 2024 | 24 | MLB MLE | 2 teams | — | 652 | 597 | 163 | 25 | 5 | 30 | 46 | 176 | 4 | 8 | 1 | 273 | 329 | 482 | 812 | 209 | 334 | 27 | 7 | 352 | 125 | — | — | — | — | — | — |
| 2025 | 25 | MLB MLE | San Francisco Giants | — | 695 | 623 | 163 | 24 | 1 | 23 | 50 | 158 | 17 | 6 | 4 | 262 | 334 | 414 | 748 | 152 | 309 | 23 | 7 | 332 | 111 | — | — | — | — | — | — |
| 2026 | 26 | MLB MLE | 2 teams | — | 473 | 433 | 107 | 23 | 4 | 13 | 32 | 132 | 5 | 4 | 1 | 247 | 306 | 409 | 715 | 162 | 324 | 28 | 7 | 314 | 99 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 24 | MLB MLE | 2 teams | — | 652 | 597 | 163 | 25 | 5 | 30 | 46 | 176 | 4 | 8 | 1 | 273 | 329 | 482 | 812 | 209 | 334 | 27 | 7 | 352 | 125 | — | — | — | — | — | — |
| 2025 | 25 | MLB MLE | San Francisco Giants | — | 695 | 623 | 163 | 24 | 1 | 23 | 50 | 158 | 17 | 6 | 4 | 262 | 334 | 414 | 748 | 152 | 309 | 23 | 7 | 332 | 111 | — | — | — | — | — | — |
| 2026 | 26 | MLB MLE | 2 teams | — | 473 | 433 | 107 | 23 | 4 | 13 | 32 | 132 | 5 | 4 | 1 | 247 | 306 | 409 | 715 | 162 | 324 | 28 | 7 | 314 | 99 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB MLE | NYY | 100% | 565 | 512 | 128 | 22 | 3 | 20 | 40 | 143 | 8 | 6 | 2 | 250 | 315 | 422 | 737 | 172 | 307 | 25 | 7 | 326 | 107 | +4 | +0 | -1 | -6 | +12 | 1.2 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB CTX | NYY | 100% | 498 | 453 | 115 | 20 | 3 | 19 | 35 | 126 | 7 | 5 | 1 | 253 | 317 | 432 | 749 | 179 | 308 | 25 | 7 | 330 | 107 | +4 | +1 | -1 | -5 | +11 | 0.9 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 28 | MLB MLE | NYY | 100% | 614 | 557 | 138 | 24 | 3 | 21 | 43 | 157 | 9 | 5 | 1 | 248 | 313 | 417 | 730 | 169 | 306 | 26 | 7 | 323 | 105 | +3 | +1 | -2 | -7 | +13 | 0.9 |
| 2029 | 29 | MLB MLE | NYY | 100% | 614 | 557 | 137 | 24 | 3 | 21 | 43 | 159 | 9 | 3 | 1 | 245 | 310 | 410 | 720 | 165 | 304 | 26 | 7 | 319 | 102 | +1 | +0 | -3 | -7 | +13 | 0.6 |
| 2030 | 30 | MLB MLE | NYY | 100% | 614 | 557 | 135 | 23 | 3 | 20 | 43 | 161 | 9 | 1 | 1 | 242 | 306 | 401 | 706 | 159 | 301 | 26 | 7 | 313 | 98 | -1 | -0 | -3 | -7 | +13 | 0.2 |
| 2031 | 31 | MLB MLE | NYY | 100% | 603 | 549 | 130 | 22 | 3 | 19 | 41 | 160 | 8 | 1 | 0 | 237 | 300 | 389 | 689 | 153 | 296 | 27 | 7 | 306 | 93 | -5 | +0 | -4 | -6 | +13 | -0.2 |
| 2028 | 28 | MLB CTX | NYY | 100% | 614 | 557 | 139 | 24 | 3 | 22 | 43 | 157 | 9 | 5 | 1 | 250 | 315 | 426 | 741 | 176 | 306 | 26 | 7 | 327 | 105 | +3 | +1 | -2 | -7 | +13 | 0.9 |
| 2029 | 29 | MLB CTX | NYY | 100% | 614 | 557 | 137 | 23 | 3 | 22 | 43 | 159 | 9 | 3 | 1 | 248 | 312 | 419 | 731 | 172 | 304 | 26 | 7 | 323 | 102 | +1 | +0 | -3 | -7 | +13 | 0.6 |
| 2030 | 30 | MLB CTX | NYY | 100% | 614 | 557 | 136 | 23 | 3 | 21 | 43 | 161 | 9 | 1 | 1 | 244 | 307 | 410 | 717 | 166 | 301 | 26 | 7 | 317 | 98 | -1 | -0 | -3 | -7 | +13 | 0.2 |
| 2031 | 31 | MLB CTX | NYY | 100% | 603 | 549 | 131 | 22 | 3 | 20 | 41 | 160 | 8 | 1 | 0 | 238 | 301 | 398 | 699 | 159 | 297 | 27 | 7 | 310 | 93 | -5 | +0 | -4 | -6 | +13 | -0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 4182 | 3795 | 941 | 163 | 20 | 142 | 296 | 1077 | 59 | 26 | 9 | 248 | 312 | 414 | 726 | 166 | 307 | 26 | 7 | 322 | 95 | +12 | +2 | -31 | -47 | +91 | 2.7 | |
| / 162G | — | A+C | — | 650 | 590 | 146 | 25 | 3 | 22 | 46 | 167 | 9 | 4 | 1 | 247 | 312 | 412 | 723 | 164 | 306 | 26 | 7 | 322 | 95 | +2 | +0 | -5 | -7 | +14 | 0.4 | |
| Career | — | MLE | — | 7479 | 6825 | 1646 | 298 | 45 | 228 | 493 | 2126 | 114 | 91 | 47 | 241 | 303 | 398 | 701 | 157 | 315 | 28 | 7 | 309 | 95 | +16 | +2 | -32 | -52 | +101 | 3.6 | |
| / 162G | — | MLE | — | 650 | 593 | 143 | 26 | 4 | 20 | 43 | 185 | 10 | 8 | 4 | 241 | 303 | 400 | 703 | 159 | 315 | 28 | 7 | 309 | 95 | +2 | +0 | -4 | -7 | +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.
2026 AAASacramento River Cats · 31 PAwOBA .438 → .351 (−88)K% 29.0% → 34.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.03% | ÷1.000 | ×1.200 | — | — | 34.84% |
| BB% (unintentional) /PA | 16.13% | ÷1.000 | ×0.690 | — | ×1.003 | 11.16% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.003 | 0.00% |
| Singles /BIP | 29.41% | ÷1.000 | ×0.930 | — | ×1.003 | 27.43% |
| Doubles /BIP | 17.65% | ÷1.000 | ×0.830 | — | ×1.003 | 14.69% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | — | ×1.003 | 0.00% |
| Home runs /BIP | 5.88% | ÷1.000 | ×0.700 | — | ×1.003 | 4.13% |
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 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).
Result: wOBA .438 → .351; ISO .231 → .174; BABIP .500 → .439. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2024 AAASacramento River Cats · 134 PAwOBA .405 → .348 (−57)K% 27.6% → 30.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.61% | ÷1.081 | ×1.200 | — | — | 30.65% |
| BB% (unintentional) /PA | 11.94% | ÷1.032 | ×0.690 | — | ×1.033 | 8.25% |
| HBP% /PA | 1.49% | — | ×0.940 | — | ×1.033 | 1.45% |
| Singles /BIP | 26.92% | ÷0.976 | ×0.930 | ×1.033 | ×1.033 | 27.38% |
| Doubles /BIP | 3.85% | ÷1.052 | ×0.830 | ×1.033 | ×1.033 | 3.24% |
| Triples /BIP | 2.56% | ÷1.091 | ×0.970 | ×1.033 | ×1.033 | 2.43% |
| Home runs /BIP | 10.26% | ÷1.010 | ×0.700 | — | ×1.033 | 7.34% |
Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 95, 2B 110, 3B 118, K 116, BB 106 — applied at half strength. Age: age 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 ×1.033.
Result: wOBA .405 → .348; ISO .270 → .209; BABIP .366 → .352. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2023 AAASacramento River Cats · 263 PAwOBA .395 → .351 (−44)K% 25.1% → 27.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.10% | ÷1.087 | ×1.200 | — | — | 27.71% |
| BB% (unintentional) /PA | 10.27% | ÷0.981 | ×0.690 | — | ×1.048 | 7.57% |
| HBP% /PA | 1.90% | — | ×0.940 | — | ×1.048 | 1.87% |
| Singles /BIP | 24.22% | ÷0.992 | ×0.930 | ×1.024 | ×1.048 | 24.37% |
| Doubles /BIP | 8.70% | ÷0.992 | ×0.830 | ×1.024 | ×1.048 | 7.81% |
| Triples /BIP | 1.86% | ÷0.956 | ×0.970 | ×1.024 | ×1.048 | 2.03% |
| Home runs /BIP | 7.45% | ÷1.057 | ×0.700 | — | ×1.048 | 5.17% |
Factors used: league row International League. Park (home-season share, regressed): HR 111, 1B 98, 2B 98, 3B 91, K 117, BB 96 — applied at half strength. Age: age 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 ×1.024.
Result: wOBA .395 → .351; ISO .247 → .199; BABIP .368 → .354. 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 ASan Jose Giants · 19 PAwOBA .526 → .399 (−127)K% 21.1% → 30.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.05% | ÷0.935 | ×1.360 | — | — | 30.62% |
| BB% (unintentional) /PA | 10.53% | ÷1.011 | ×0.690 | — | ×0.980 | 7.04% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.980 | 0.00% |
| Singles /BIP | 7.69% | ÷1.049 | ×0.920 | — | ×0.980 | 6.61% |
| Doubles /BIP | 23.08% | ÷1.005 | ×0.830 | — | ×0.980 | 18.68% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | — | ×0.980 | 0.00% |
| Home runs /BIP | 15.38% | ÷0.890 | ×0.800 | — | ×0.980 | 13.55% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 110, 2B 101, 3B 80, K 87, BB 102 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).
Result: wOBA .526 → .399; ISO .529 → .413; BABIP .364 → .293. 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 AAASacramento River Cats · 475 PAwOBA .290 → .254 (−35)K% 23.6% → 28.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.58% | ÷0.986 | ×1.200 | — | — | 28.69% |
| BB% (unintentional) /PA | 8.42% | ÷0.984 | ×0.690 | — | ×1.050 | 6.20% |
| HBP% /PA | 1.47% | — | ×0.940 | — | ×1.050 | 1.45% |
| Singles /BIP | 21.59% | ÷0.968 | ×0.930 | ×1.019 | ×1.050 | 22.19% |
| Doubles /BIP | 5.40% | ÷0.967 | ×0.830 | ×1.019 | ×1.050 | 4.96% |
| Triples /BIP | 0.32% | ÷0.900 | ×0.970 | ×1.019 | ×1.050 | 0.37% |
| Home runs /BIP | 3.49% | ÷0.989 | ×0.700 | — | ×1.050 | 2.60% |
Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 94, 2B 93, 3B 80, K 97, BB 97 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.
Result: wOBA .290 → .254; ISO .122 → .095; BABIP .283 → .282. 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 AARichmond Flying Squirrels · 266 PAwOBA .327 → .279 (−49)K% 27.4% → 33.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.44% | ÷1.004 | ×1.220 | — | — | 33.35% |
| BB% (unintentional) /PA | 10.15% | ÷1.134 | ×0.690 | — | ×1.042 | 6.44% |
| HBP% /PA | 1.13% | — | ×0.850 | — | ×1.042 | 1.00% |
| Singles /BIP | 19.02% | ÷0.970 | ×0.940 | ×1.037 | ×1.042 | 19.91% |
| Doubles /BIP | 8.59% | ÷1.098 | ×0.870 | ×1.037 | ×1.042 | 7.35% |
| Triples /BIP | 0.61% | ÷1.150 | ×0.920 | ×1.037 | ×1.042 | 0.53% |
| Home runs /BIP | 6.13% | ÷0.923 | ×0.780 | — | ×1.042 | 5.40% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 94, 2B 120, 3B 130, K 101, BB 127 — 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 ×1.037.
Result: wOBA .327 → .279; ISO .195 → .164; BABIP .301 → .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).
2021 AAASacramento River Cats · 229 PAwOBA .314 → .276 (−38)K% 28.4% → 32.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.38% | ÷1.034 | ×1.200 | — | — | 32.93% |
| BB% (unintentional) /PA | 6.55% | ÷0.956 | ×0.690 | — | ×1.050 | 4.97% |
| HBP% /PA | 0.44% | — | ×0.940 | — | ×1.050 | 0.43% |
| Singles /BIP | 27.70% | ÷1.049 | ×0.930 | ×1.028 | ×1.050 | 26.52% |
| Doubles /BIP | 7.43% | ÷0.916 | ×0.830 | ×1.028 | ×1.050 | 7.27% |
| Triples /BIP | 1.35% | ÷0.900 | ×0.920 | ×1.028 | ×1.050 | 1.49% |
| Home runs /BIP | 2.70% | ÷0.995 | ×0.700 | — | ×1.050 | 2.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 110, 2B 83, 3B 80, K 107, BB 91 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.
Result: wOBA .314 → .276; ISO .127 → .108; BABIP .375 → .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).
2019 A+San Jose Giants · 338 PAwOBA .382 → .314 (−68)K% 25.1% → 34.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.15% | ÷0.975 | ×1.340 | — | — | 34.57% |
| BB% (unintentional) /PA | 8.88% | ÷0.936 | ×0.710 | — | ×1.042 | 7.01% |
| HBP% /PA | 2.37% | — | ×0.790 | — | ×1.042 | 1.95% |
| Singles /BIP | 28.23% | ÷1.017 | ×0.910 | ×0.950 | ×1.042 | 25.00% |
| Doubles /BIP | 8.61% | ÷0.973 | ×0.820 | ×0.950 | ×1.042 | 7.19% |
| Triples /BIP | 0.00% | ÷0.903 | ×0.760 | ×0.950 | ×1.042 | 0.00% |
| Home runs /BIP | 6.22% | ÷0.947 | ×0.920 | — | ×1.042 | 6.29% |
Factors used: league row CAL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 81, K 95, BB 87 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .382 → .314; ISO .194 → .169; BABIP .385 → .336. 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 — .