Jose Astudillo
SS San Jose Giants| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 20 | ROKDSL Giants Bl… | 16 | .357/.400/.357 | 0 | 0 | 57 | — | .286/.333/.286 |
| 2025 | 21 | A/ROKSF | 200 | .367/.431/.463 | 1 | 10 | 94 | — | .290/.340/.361 |
| 2026 | 22 | AA/A+/ASF | 336 | .312/.367/.429 | 6 | 22 | 98 | — | .296/.341/.396 |
| 2027PROJMLE | 23 | MLBSF | 444 | .258/.306/.365 | 7 | 11 | 89 | 0.6 | |
| 2028PROJ38% MLB | 24 | MLBSF | 112 | .255/.305/.365 | 2 | 3 | 92 | 0.3 | |
| 2029PROJ55% MLB | 25 | MLBSF | 192 | .255/.307/.369 | 3 | 5 | 94 | 0.6 |
Tools · ContractCON 76 / 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) | |||||||||||||||||||||||||||||||
| 2021 | 17 | ROK | DSL Giants Black | — | 60 | 53 | 11 | 3 | 0 | 0 | 5 | 5 | 1 | 3 | 0 | 208 | 288 | 264 | 552 | 57 | 224 | 8 | 8 | 255 | 8 | — | — | — | — | — | — |
| 2022 | 18 | ROK | DSL Giants Orange | — | 40 | 32 | 9 | 2 | 1 | 0 | 4 | 4 | 1 | 6 | 1 | 281 | 378 | 406 | 785 | 125 | 310 | 10 | 10 | 328 | 44 | — | — | — | — | — | — |
| 2023 | 19 | ROK | DSL Giants Orange | — | 102 | 91 | 33 | 6 | 2 | 0 | 8 | 5 | 2 | 10 | 1 | 363 | 426 | 473 | 898 | 110 | 379 | 5 | 8 | 398 | 75 | — | — | — | — | — | — |
| 2024 | 20 | ROK | DSL Giants Black | — | 16 | 14 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 357 | 400 | 357 | 757 | 333 | 0 | 0 | 329 | 57 | — | — | — | — | — | — | |
| 2025 | 21 | A | San Jose Giants | — | 78 | 70 | 22 | 6 | 0 | 0 | 5 | 10 | 1 | 5 | 1 | 314 | 368 | 400 | 768 | 86 | 355 | 13 | 6 | 339 | 79 | — | — | — | — | — | — |
| 2025 | 21 | ROK | ACL Giants | — | 122 | 107 | 43 | 6 | 1 | 1 | 10 | 9 | 4 | 5 | 6 | 402 | 471 | 505 | 976 | 103 | 429 | 7 | 8 | 434 | 103 | — | — | — | — | — | — |
| 2026 | 22 | AA | Richmond Flying Squirrels | — | 66 | 59 | 13 | 2 | 0 | 0 | 5 | 8 | 0 | 4 | 2 | 220 | 273 | 254 | 527 | 34 | 255 | 12 | 8 | 243 | 45 | — | — | — | — | — | — |
| 2026 | 22 | A+ | Eugene Emeralds | — | 71 | 63 | 21 | 3 | 0 | 0 | 7 | 5 | 0 | 7 | 1 | 333 | 394 | 381 | 775 | 48 | 362 | 7 | 10 | 352 | 101 | — | — | — | — | — | — |
| 2026 | 22 | A | San Jose Giants | — | 199 | 179 | 60 | 10 | 1 | 6 | 13 | 14 | 3 | 11 | 2 | 335 | 390 | 503 | 893 | 168 | 338 | 7 | 7 | 388 | 114 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2021 | 17 | ROK MLE | DSL Giants Black | — | 60 | 55 | 8 | 2 | 0 | 0 | 3 | 6 | 1 | 3 | 0 | 145 | 203 | 182 | 385 | 36 | 159 | 10 | 5 | 180 | 8 | — | — | — | — | — | — |
| 2022 | 18 | ROK MLE | DSL Giants Orange | — | 40 | 33 | 7 | 1 | 1 | 0 | 3 | 5 | 1 | 6 | 1 | 212 | 297 | 303 | 600 | 91 | 199 | 12 | 8 | 233 | 44 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | DSL Giants Orange | — | 102 | 94 | 24 | 4 | 1 | 0 | 5 | 6 | 2 | 10 | 1 | 255 | 307 | 319 | 626 | 64 | 268 | 6 | 5 | 279 | 75 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | DSL Giants Black | — | 16 | 14 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 286 | 333 | 286 | 619 | 229 | 0 | 0 | 252 | 57 | — | — | — | — | — | — | |
| 2025 | 21 | A MLE | San Jose Giants | — | 78 | 72 | 19 | 4 | 0 | 0 | 3 | 14 | 1 | 5 | 1 | 264 | 303 | 319 | 622 | 56 | 315 | 18 | 4 | 285 | 79 | — | — | — | — | — | — |
| 2025 | 21 | ROK MLE | ACL Giants | — | 122 | 111 | 34 | 4 | 1 | 1 | 6 | 12 | 4 | 5 | 6 | 306 | 364 | 387 | 751 | 81 | 328 | 10 | 5 | 320 | 103 | — | — | — | — | — | — |
| 2026 | 22 | AA MLE | Richmond Flying Squirrels | — | 66 | 62 | 14 | 2 | 0 | 0 | 4 | 10 | 0 | 4 | 2 | 226 | 273 | 258 | 531 | 32 | 265 | 15 | 6 | 235 | 45 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | Eugene Emeralds | — | 71 | 66 | 21 | 3 | 0 | 0 | 5 | 7 | 0 | 7 | 1 | 318 | 366 | 364 | 730 | 45 | 346 | 10 | 7 | 317 | 101 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | San Jose Giants | — | 199 | 183 | 57 | 9 | 1 | 5 | 9 | 19 | 3 | 11 | 2 | 311 | 354 | 454 | 807 | 142 | 312 | 10 | 5 | 337 | 114 | — | — | — | — | — | — |
| 2021 | 17 | ROK MLE | DSL Giants Black | — | 60 | 55 | 8 | 2 | 0 | 0 | 3 | 6 | 1 | 3 | 0 | 145 | 203 | 182 | 385 | 36 | 160 | 10 | 5 | 180 | 8 | — | — | — | — | — | — |
| 2021 | 17 | ROK RAW | DSL Giants Black | — | 60 | 53 | 11 | 3 | 0 | 0 | 5 | 5 | 1 | 3 | 0 | 208 | 288 | 264 | 552 | 57 | 224 | 8 | 8 | 255 | 8 | — | — | — | — | — | — |
| 2022 | 18 | ROK MLE | DSL Giants Orange | — | 40 | 33 | 7 | 1 | 1 | 0 | 3 | 5 | 1 | 6 | 1 | 212 | 297 | 303 | 600 | 91 | 241 | 12 | 8 | 233 | 44 | — | — | — | — | — | — |
| 2022 | 18 | ROK RAW | DSL Giants Orange | — | 40 | 32 | 9 | 2 | 1 | 0 | 4 | 4 | 1 | 6 | 1 | 281 | 378 | 406 | 785 | 125 | 310 | 10 | 10 | 328 | 44 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | DSL Giants Orange | — | 102 | 94 | 24 | 4 | 1 | 0 | 5 | 6 | 2 | 10 | 1 | 255 | 307 | 319 | 626 | 64 | 270 | 6 | 5 | 279 | 75 | — | — | — | — | — | — |
| 2023 | 19 | ROK RAW | DSL Giants Orange | — | 102 | 91 | 33 | 6 | 2 | 0 | 8 | 5 | 2 | 10 | 1 | 363 | 426 | 473 | 898 | 110 | 379 | 5 | 8 | 398 | 75 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | DSL Giants Black | — | 16 | 14 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 286 | 333 | 286 | 619 | 267 | 0 | 0 | 252 | 57 | — | — | — | — | — | — | |
| 2024 | 20 | ROK RAW | DSL Giants Black | — | 16 | 14 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 357 | 400 | 357 | 757 | 333 | 0 | 0 | 329 | 57 | — | — | — | — | — | — | |
| 2025 | 21 | ROK MLE | 2 teams | — | 200 | 183 | 54 | 9 | 1 | 1 | 9 | 27 | 5 | 10 | 7 | 295 | 345 | 372 | 717 | 77 | 335 | 14 | 4 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 21 | ROK RAW | 2 teams | — | 200 | 177 | 65 | 12 | 1 | 1 | 15 | 19 | 5 | 10 | 7 | 367 | 431 | 463 | 895 | 96 | 400 | 10 | 8 | 397 | 93 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | 3 teams | — | 336 | 311 | 90 | 13 | 1 | 5 | 18 | 36 | 3 | 22 | 5 | 289 | 334 | 386 | 720 | 96 | 314 | 11 | 5 | 313 | 98 | — | — | — | — | — | — |
| 2026 | 22 | A RAW | 3 teams | — | 336 | 301 | 94 | 15 | 1 | 6 | 25 | 27 | 3 | 22 | 5 | 312 | 367 | 429 | 796 | 116 | 327 | 8 | 7 | 352 | 98 | — | — | — | — | — | — |
| 2021 | 17 | ROK MLE | DSL Giants Black | — | 60 | 56 | 8 | 2 | 0 | 0 | 3 | 6 | 1 | 3 | 0 | 143 | 203 | 179 | 382 | 36 | 159 | 10 | 5 | 180 | 8 | — | — | — | — | — | — |
| 2022 | 18 | ROK MLE | DSL Giants Orange | — | 40 | 36 | 7 | 1 | 1 | 0 | 3 | 5 | 1 | 6 | 1 | 194 | 297 | 278 | 575 | 83 | 199 | 12 | 8 | 233 | 44 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | DSL Giants Orange | — | 102 | 94 | 24 | 4 | 1 | 0 | 5 | 6 | 2 | 10 | 1 | 255 | 307 | 319 | 626 | 64 | 268 | 6 | 5 | 279 | 75 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | DSL Giants Black | — | 16 | 15 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 267 | 333 | 267 | 600 | 229 | 0 | 0 | 252 | 57 | — | — | — | — | — | — | |
| 2025 | 21 | ROK MLE | 2 teams | — | 200 | 184 | 54 | 9 | 1 | 1 | 9 | 27 | 5 | 10 | 7 | 293 | 345 | 370 | 715 | 76 | 323 | 14 | 4 | 306 | 93 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | 3 teams | — | 336 | 312 | 90 | 13 | 1 | 5 | 18 | 36 | 3 | 22 | 5 | 288 | 334 | 385 | 719 | 96 | 310 | 11 | 5 | 313 | 98 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 20 | ROK MLE | DSL Giants Black | — | 16 | 15 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 267 | 333 | 267 | 600 | 229 | 0 | 0 | 252 | 57 | — | — | — | — | — | — | |
| 2025 | 21 | ROK MLE | 2 teams | — | 200 | 184 | 54 | 9 | 1 | 1 | 9 | 27 | 5 | 10 | 7 | 293 | 345 | 370 | 715 | 76 | 323 | 14 | 4 | 306 | 93 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | 3 teams | — | 336 | 312 | 90 | 13 | 1 | 5 | 18 | 36 | 3 | 22 | 5 | 288 | 334 | 385 | 719 | 96 | 310 | 11 | 5 | 313 | 98 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 23 | MLB MLE | SF | 0% | 444 | 412 | 107 | 20 | 2 | 7 | 25 | 79 | 4 | 11 | 3 | 258 | 306 | 365 | 671 | 107 | 302 | 18 | 6 | 300 | 89 | -6 | +1 | +0 | +5 | +10 | 0.6 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 24 | MLB MLE | SF | 38% | 297 | 276 | 72 | 13 | 2 | 5 | 17 | 53 | 2 | 8 | 2 | 259 | 309 | 373 | 682 | 114 | 302 | 18 | 6 | 304 | 92 | -3 | +1 | +0 | +3 | +6 | 0.8 |
| 2029 | 25 | MLB MLE | SF | 55% | 346 | 319 | 83 | 15 | 2 | 6 | 21 | 62 | 3 | 9 | 2 | 259 | 311 | 378 | 689 | 119 | 302 | 18 | 6 | 307 | 94 | -3 | +1 | +0 | +4 | +7 | 1.0 |
| 2030 | 26 | MLB MLE | SF | 64% | 375 | 346 | 90 | 17 | 2 | 7 | 23 | 68 | 3 | 9 | 3 | 259 | 311 | 380 | 691 | 121 | 301 | 18 | 6 | 308 | 95 | -2 | +1 | +0 | +4 | +8 | 1.1 |
| 2031 | 27 | MLB MLE | SF | 66% | 385 | 355 | 91 | 17 | 2 | 7 | 24 | 71 | 3 | 9 | 3 | 257 | 311 | 379 | 690 | 122 | 300 | 18 | 6 | 307 | 94 | -3 | +1 | +0 | +4 | +8 | 1.1 |
| 2032 | 28 | MLB MLE | SF | 67% | 385 | 354 | 90 | 17 | 2 | 7 | 25 | 73 | 3 | 9 | 3 | 255 | 309 | 376 | 686 | 121 | 300 | 19 | 6 | 306 | 93 | -3 | +1 | -1 | +4 | +8 | 0.9 |
| 2033 | 29 | MLB MLE | SF | 66% | 377 | 347 | 88 | 16 | 2 | 7 | 24 | 72 | 3 | 8 | 2 | 253 | 307 | 371 | 677 | 117 | 299 | 19 | 6 | 302 | 91 | -4 | +1 | -1 | +4 | +8 | 0.8 |
| 2034 | 30 | MLB MLE | SF | 65% | 366 | 337 | 85 | 16 | 2 | 6 | 23 | 72 | 3 | 7 | 2 | 251 | 304 | 363 | 667 | 113 | 298 | 20 | 6 | 298 | 88 | -5 | +1 | -2 | +4 | +8 | 0.5 |
| 2035 | 31 | MLB MLE | SF | 65% | 351 | 324 | 80 | 15 | 1 | 6 | 22 | 70 | 2 | 5 | 3 | 247 | 299 | 354 | 654 | 107 | 296 | 20 | 6 | 293 | 84 | -7 | -0 | -3 | +4 | +8 | 0.2 |
| 2036 | 32 | MLB MLE | SF | 65% | 329 | 304 | 73 | 13 | 1 | 5 | 20 | 67 | 2 | 4 | 4 | 242 | 293 | 343 | 636 | 101 | 293 | 20 | 6 | 285 | 79 | -8 | -1 | -4 | +4 | +7 | -0.2 |
| 2028 | 24 | MLB CTX | SF | 38% | 112 | 103 | 27 | 5 | 1 | 2 | 7 | 20 | 1 | 3 | 1 | 255 | 305 | 365 | 670 | 110 | 298 | 18 | 6 | 299 | 92 | -1 | +0 | +0 | +1 | +2 | 0.3 |
| 2029 | 25 | MLB CTX | SF | 55% | 192 | 176 | 46 | 9 | 1 | 3 | 12 | 35 | 2 | 5 | 1 | 255 | 307 | 369 | 676 | 114 | 298 | 18 | 6 | 302 | 94 | -1 | +1 | +0 | +2 | +4 | 0.6 |
| 2030 | 26 | MLB CTX | SF | 64% | 239 | 220 | 56 | 11 | 1 | 4 | 15 | 43 | 2 | 6 | 2 | 255 | 307 | 371 | 678 | 117 | 297 | 18 | 6 | 303 | 95 | -2 | +0 | +0 | +3 | +5 | 0.7 |
| 2031 | 27 | MLB CTX | SF | 66% | 253 | 233 | 59 | 11 | 1 | 5 | 16 | 47 | 2 | 6 | 2 | 253 | 307 | 370 | 677 | 117 | 297 | 19 | 6 | 302 | 94 | -2 | +0 | +0 | +3 | +5 | 0.7 |
| 2032 | 28 | MLB CTX | SF | 67% | 257 | 237 | 59 | 11 | 1 | 5 | 16 | 49 | 2 | 6 | 2 | 251 | 306 | 367 | 673 | 116 | 296 | 19 | 6 | 301 | 93 | -2 | +0 | -0 | +3 | +6 | 0.6 |
| 2033 | 29 | MLB CTX | SF | 66% | 248 | 228 | 57 | 11 | 1 | 4 | 16 | 48 | 2 | 5 | 2 | 249 | 303 | 362 | 665 | 113 | 295 | 19 | 6 | 297 | 91 | -3 | +0 | -1 | +3 | +5 | 0.5 |
| 2034 | 30 | MLB CTX | SF | 65% | 238 | 219 | 54 | 10 | 1 | 4 | 15 | 47 | 2 | 4 | 2 | 247 | 300 | 355 | 655 | 109 | 294 | 20 | 6 | 293 | 88 | -3 | +0 | -1 | +3 | +5 | 0.3 |
| 2035 | 31 | MLB CTX | SF | 65% | 227 | 209 | 50 | 9 | 1 | 3 | 14 | 45 | 2 | 3 | 2 | 243 | 296 | 347 | 642 | 103 | 292 | 20 | 6 | 288 | 84 | -4 | -0 | -2 | +2 | +5 | 0.1 |
| 2036 | 32 | MLB CTX | SF | 65% | 212 | 196 | 47 | 9 | 1 | 3 | 13 | 43 | 1 | 3 | 2 | 238 | 290 | 335 | 625 | 97 | 289 | 20 | 6 | 281 | 79 | -5 | -0 | -2 | +2 | +5 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1978 | 1821 | 455 | 86 | 9 | 33 | 124 | 377 | 16 | 41 | 16 | 250 | 303 | 361 | 665 | 111 | 297 | 19 | 6 | 296 | 89 | -23 | +2 | -7 | +21 | +43 | 3.6 | |
| / 162G | — | A+C | — | 650 | 598 | 149 | 28 | 3 | 11 | 41 | 124 | 5 | 13 | 5 | 249 | 303 | 361 | 664 | 112 | 296 | 19 | 6 | 296 | 89 | -8 | +1 | -2 | +7 | +14 | 1.2 | |
| Career | — | MLE | — | 4175 | 3846 | 989 | 177 | 21 | 65 | 249 | 725 | 39 | 124 | 39 | 257 | 309 | 365 | 674 | 108 | 300 | 17 | 6 | 299 | 89 | -40 | +5 | -10 | +37 | +74 | 6.6 | |
| / 162G | — | MLE | — | 650 | 599 | 154 | 28 | 3 | 10 | 39 | 113 | 6 | 19 | 6 | 257 | 309 | 364 | 673 | 107 | 300 | 17 | 6 | 299 | 89 | -8 | +1 | -2 | +7 | +14 | 1.3 | |
How the minor-league lines were translated
One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.
2026 ASan Jose Giants · 199 PAwOBA .379 → .337 (−42)K% 7.0% → 9.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.04% | ÷1.000 | ×1.360 | — | — | 9.57% |
| BB% (unintentional) /PA | 6.53% | ÷1.000 | ×0.690 | — | — | 4.51% |
| HBP% /PA | 1.51% | — | ×0.780 | — | — | 1.18% |
| Singles /BIP | 26.06% | ÷1.000 | ×0.920 | ×1.031 | — | 24.72% |
| Doubles /BIP | 6.06% | ÷1.000 | ×0.830 | ×1.031 | — | 5.19% |
| Triples /BIP | 0.61% | ÷1.000 | ×0.910 | ×1.031 | — | 0.57% |
| Home runs /BIP | 3.64% | ÷1.000 | ×0.800 | — | — | 2.91% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.
Result: wOBA .379 → .337; ISO .168 → .142; BABIP .338 → .312. 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).
2026 A+Eugene Emeralds · 71 PAwOBA .344 → .317 (−27)K% 7.0% → 9.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.04% | ÷1.000 | ×1.350 | — | — | 9.51% |
| BB% (unintentional) /PA | 9.86% | ÷1.000 | ×0.710 | — | ×1.012 | 7.08% |
| HBP% /PA | 0.00% | — | ×0.810 | — | ×1.012 | 0.00% |
| Singles /BIP | 31.03% | ÷1.000 | ×0.910 | ×1.050 | ×1.012 | 30.01% |
| Doubles /BIP | 5.17% | ÷1.000 | ×0.830 | ×1.050 | ×1.012 | 4.56% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.820 | ×1.050 | ×1.012 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.830 | — | ×1.012 | 0.00% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.
Result: wOBA .344 → .317; ISO .048 → .043; BABIP .362 → .346. 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).
2026 AARichmond Flying Squirrels · 66 PAwOBA .237 → .235 (−2)K% 12.1% → 14.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.12% | ÷1.000 | ×1.220 | — | — | 14.79% |
| BB% (unintentional) /PA | 7.58% | ÷1.000 | ×0.700 | — | ×1.042 | 5.53% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×1.042 | 0.00% |
| Singles /BIP | 21.57% | ÷1.000 | ×0.970 | ×1.048 | ×1.042 | 22.85% |
| Doubles /BIP | 3.92% | ÷1.000 | ×0.860 | ×1.048 | ×1.042 | 3.68% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.950 | ×1.048 | ×1.042 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.042 | 0.00% |
Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.048.
Result: wOBA .237 → .235; ISO .034 → .033; BABIP .255 → .265. 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 ROKACL Giants · 122 PAwOBA .427 → .320 (−107)K% 7.4% → 10.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.38% | ÷1.045 | ×1.440 | — | — | 10.16% |
| BB% (unintentional) /PA | 8.20% | ÷1.070 | ×0.620 | — | ×0.985 | 4.68% |
| HBP% /PA | 3.28% | — | ×0.720 | — | ×0.985 | 2.33% |
| Singles /BIP | 35.71% | ÷1.042 | ×0.820 | ×1.006 | ×0.985 | 27.86% |
| Doubles /BIP | 6.12% | ÷1.001 | ×0.720 | ×1.006 | ×0.985 | 4.36% |
| Triples /BIP | 1.02% | ÷1.150 | ×0.720 | ×1.006 | ×0.985 | 0.63% |
| Home runs /BIP | 1.02% | ÷1.128 | ×0.780 | — | ×0.985 | 0.70% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 108, 2B 100, 3B 130, K 109, BB 114 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.
Result: wOBA .427 → .320; ISO .103 → .073; BABIP .429 → .328. 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 ASan Jose Giants · 78 PAwOBA .338 → .285 (−54)K% 12.8% → 18.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.82% | ÷0.962 | ×1.360 | — | — | 18.13% |
| BB% (unintentional) /PA | 6.41% | ÷1.055 | ×0.690 | — | ×1.015 | 4.26% |
| HBP% /PA | 1.28% | — | ×0.780 | — | ×1.015 | 1.01% |
| Singles /BIP | 26.67% | ÷1.007 | ×0.920 | ×1.015 | ×1.015 | 25.08% |
| Doubles /BIP | 10.00% | ÷1.138 | ×0.830 | ×1.015 | ×1.015 | 7.51% |
| Triples /BIP | 0.00% | ÷0.902 | ×0.910 | ×1.015 | ×1.015 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.358 | ×0.800 | — | ×1.015 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 172, 1B 101, 2B 128, 3B 80, K 92, BB 111 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.
Result: wOBA .338 → .285; ISO .086 → .064; BABIP .355 → .315. 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 DSLDSL Giants Black · 16 PAwOBA .341 → .252 (−90)K% 0.0% → 0.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 0.00% | ÷0.977 | ×1.220 | — | — | 0.00% |
| BB% (unintentional) /PA | 0.00% | ÷0.971 | ×0.700 | — | ×0.985 | 0.00% |
| HBP% /PA | 6.25% | — | ×0.700 | — | ×0.985 | 4.31% |
| Singles /BIP | 35.71% | ÷0.982 | ×0.680 | — | ×0.985 | 24.35% |
| Doubles /BIP | 0.00% | ÷1.057 | ×0.600 | — | ×0.985 | 0.00% |
| Triples /BIP | 0.00% | ÷1.127 | ×0.600 | — | ×0.985 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.092 | ×0.470 | — | ×0.985 | 0.00% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 96, 2B 111, 3B 125, K 95, BB 94 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).
Result: wOBA .341 → .252; ISO .000 → .000; BABIP .333 → .229. 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 DSLDSL Giants Orange · 102 PAwOBA .392 → .279 (−113)K% 4.9% → 6.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 4.90% | ÷0.997 | ×1.220 | — | — | 6.00% |
| BB% (unintentional) /PA | 7.84% | ÷1.027 | ×0.700 | — | ×0.995 | 5.32% |
| HBP% /PA | 1.96% | — | ×0.700 | — | ×0.995 | 1.37% |
| Singles /BIP | 29.07% | ÷0.952 | ×0.680 | ×1.039 | ×0.995 | 21.47% |
| Doubles /BIP | 6.98% | ÷0.993 | ×0.600 | ×1.039 | ×0.995 | 4.36% |
| Triples /BIP | 2.33% | ÷1.150 | ×0.600 | ×1.039 | ×0.995 | 1.25% |
| Home runs /BIP | 0.00% | ÷0.949 | ×0.470 | — | ×0.995 | 0.00% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 90, 2B 99, 3B 130, K 99, BB 105 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.
Result: wOBA .392 → .279; ISO .110 → .067; BABIP .379 → .268. 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 DSLDSL Giants Orange · 40 PAwOBA .329 → .233 (−96)K% 10.0% → 12.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.00% | ÷1.005 | ×1.220 | — | — | 12.13% |
| BB% (unintentional) /PA | 10.00% | ÷0.976 | ×0.700 | — | ×1.008 | 7.23% |
| HBP% /PA | 2.50% | — | ×0.700 | — | ×1.008 | 1.76% |
| Singles /BIP | 21.43% | ÷1.010 | ×0.680 | — | ×1.008 | 14.54% |
| Doubles /BIP | 7.14% | ÷1.060 | ×0.600 | — | ×1.008 | 4.07% |
| Triples /BIP | 3.57% | ÷1.150 | ×0.600 | — | ×1.008 | 1.88% |
| Home runs /BIP | 0.00% | ÷0.973 | ×0.470 | — | ×1.008 | 0.00% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 102, 2B 112, 3B 130, K 101, BB 95 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).
Result: wOBA .329 → .233; ISO .125 → .077; BABIP .310 → .199. 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).