Joe Panik
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 28 | MLBNYM | 491 | .244/.318/.336 | 5 | 4 | 89 | 1.1 | |
| 2020 | 29 | MLBTOR | 141 | .225/.340/.300 | 1 | 0 | 90 | 0.2 | |
| 2021 | 30 | MLBMIA | 257 | .208/.267/.284 | 3 | 2 | 59 | -0.9 | |
| 2022 | 31 | No MLB games played | |||||||
| 2023 | 32 | No MLB games played | |||||||
| 2024 | 33 | No MLB games played | |||||||
| 2025 | 34 | No MLB games played | |||||||
| 2026 | 35 | No MLB games played | |||||||
Career Stats + Projections
Methodology▸ how these numbers are built
All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2011 | 20 | INTL | Scottsdale Scorpions | — | 104 | 93 | 30 | 6 | 1 | 2 | 9 | 10 | 2 | 0 | 0 | 323 | 394 | 473 | 867 | 151 | 346 | 10 | 9 | 387 | 148 | — | — | — | — | — | — |
| 2012 | 21 | A+ | San Jose Giants | — | 605 | 535 | 159 | 27 | 4 | 7 | 58 | 54 | 5 | 10 | 4 | 297 | 371 | 402 | 773 | 105 | 317 | 9 | 10 | 346 | 93 | — | — | — | — | — | — |
| 2012 | 21 | INTL | Scottsdale Scorpions | — | 88 | 78 | 16 | 0 | 1 | 1 | 10 | 7 | 0 | 4 | 0 | 205 | 295 | 269 | 565 | 64 | 214 | 8 | 11 | 265 | 66 | — | — | — | — | — | — |
| 2013 | 22 | AA | Richmond Flying Squirrels | — | 599 | 521 | 135 | 27 | 4 | 4 | 58 | 68 | 5 | 10 | 5 | 259 | 339 | 349 | 688 | 90 | 288 | 11 | 10 | 307 | 76 | — | — | — | — | — | — |
| 2014 | 23 | MLB | San Francisco Giants | — | 287 | 269 | 82 | 10 | 2 | 1 | 16 | 33 | 0 | 0 | 0 | 305 | 344 | 368 | 712 | 63 | 343 | 11 | 6 | 320 | 105 | +2 | +0 | -0 | +2 | +6 | 1.0 |
| 2014 | 23 | AAA | Fresno Grizzlies | — | 326 | 293 | 94 | 14 | 4 | 5 | 27 | 33 | 3 | 3 | 2 | 321 | 384 | 447 | 831 | 126 | 346 | 10 | 8 | 369 | 108 | — | — | — | — | — | — |
| 2015 | 24 | MLB | San Francisco Giants | — | 432 | 382 | 119 | 27 | 2 | 8 | 38 | 42 | 5 | 3 | 2 | 312 | 381 | 455 | 837 | 144 | 330 | 10 | 9 | 368 | 139 | +20 | -0 | +5 | +2 | +9 | 3.6 |
| 2016 | 25 | MLB | San Francisco Giants | — | 526 | 464 | 111 | 21 | 7 | 10 | 50 | 47 | 4 | 5 | 0 | 239 | 319 | 379 | 698 | 140 | 245 | 9 | 10 | 310 | 95 | -3 | +1 | +7 | +2 | +11 | 1.9 |
| 2017 | 26 | MLB | San Francisco Giants | — | 573 | 511 | 147 | 28 | 5 | 10 | 46 | 54 | 5 | 4 | 1 | 288 | 352 | 421 | 773 | 133 | 301 | 9 | 8 | 340 | 116 | +11 | +0 | -3 | +2 | +12 | 2.4 |
| 2018 | 27 | MLB | San Francisco Giants | — | 392 | 358 | 91 | 14 | 1 | 4 | 26 | 30 | 3 | 4 | 2 | 254 | 310 | 332 | 642 | 78 | 265 | 8 | 7 | 289 | 81 | -9 | +0 | +2 | +1 | +8 | 0.4 |
| 2018 | 27 | AAA | Sacramento River Cats | — | 20 | 18 | 6 | 0 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 333 | 400 | 333 | 733 | 400 | 15 | 10 | 341 | 84 | — | — | — | — | — | — | |
| 2019 | 28 | MLB | New York Mets | — | 491 | 438 | 107 | 21 | 2 | 5 | 43 | 47 | 4 | 4 | 2 | 244 | 318 | 336 | 653 | 91 | 262 | 10 | 9 | 295 | 89 | -6 | +0 | +5 | +2 | +11 | 1.1 |
| 2020 | 29 | MLB | Toronto Blue Jays | — | 141 | 120 | 27 | 6 | 0 | 1 | 20 | 27 | 1 | 0 | 0 | 225 | 340 | 300 | 640 | 75 | 283 | 19 | 14 | 302 | 90 | -2 | +0 | -0 | +1 | +3 | 0.2 |
| 2021 | 30 | MLB | Miami Marlins | — | 257 | 236 | 49 | 9 | 0 | 3 | 17 | 34 | 2 | 2 | 0 | 208 | 267 | 284 | 551 | 76 | 230 | 13 | 7 | 251 | 59 | -12 | +0 | -3 | +1 | +6 | -0.9 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 3099 | 2778 | 733 | 136 | 19 | 42 | 256 | 314 | 24 | 22 | 7 | 264 | 331 | 372 | 703 | 108 | 282 | 10 | 8 | 314 | 99 | -4 | +2 | +14 | +12 | +67 | 9.3 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 21 | A+ MLE | San Jose Giants | — | 605 | 554 | 153 | 25 | 4 | 7 | 39 | 72 | 5 | 10 | 4 | 276 | 329 | 374 | 703 | 97 | 299 | 12 | 6 | 306 | 93 | — | — | — | — | — | — |
| 2013 | 22 | AA MLE | Richmond Flying Squirrels | — | 599 | 539 | 136 | 25 | 4 | 4 | 40 | 86 | 5 | 10 | 5 | 252 | 310 | 336 | 646 | 83 | 280 | 14 | 7 | 280 | 76 | — | — | — | — | — | — |
| 2014 | 23 | MLB MLE | San Francisco Giants | — | 287 | 269 | 83 | 10 | 2 | 1 | 16 | 33 | 0 | 0 | 0 | 309 | 347 | 372 | 719 | 63 | 343 | 11 | 6 | 324 | 105 | +2 | +0 | -0 | +2 | +6 | 1.0 |
| 2014 | 23 | AAA MLE | Fresno Grizzlies | — | 326 | 301 | 90 | 12 | 4 | 4 | 19 | 43 | 3 | 3 | 2 | 299 | 347 | 405 | 752 | 106 | 331 | 13 | 6 | 328 | 108 | — | — | — | — | — | — |
| 2015 | 24 | MLB MLE | San Francisco Giants | — | 432 | 382 | 121 | 27 | 2 | 9 | 38 | 42 | 5 | 3 | 2 | 317 | 386 | 469 | 854 | 152 | 330 | 10 | 9 | 373 | 139 | +20 | -0 | +5 | +2 | +9 | 3.6 |
| 2016 | 25 | MLB MLE | San Francisco Giants | — | 526 | 469 | 113 | 21 | 7 | 11 | 45 | 47 | 4 | 5 | 0 | 241 | 313 | 386 | 699 | 145 | 245 | 9 | 9 | 308 | 95 | -3 | +1 | +7 | +2 | +11 | 1.9 |
| 2017 | 26 | MLB MLE | San Francisco Giants | — | 573 | 515 | 150 | 28 | 5 | 11 | 42 | 54 | 5 | 4 | 1 | 291 | 351 | 429 | 780 | 138 | 301 | 9 | 7 | 340 | 116 | +11 | +0 | -3 | +2 | +12 | 2.4 |
| 2018 | 27 | MLB MLE | San Francisco Giants | — | 392 | 361 | 92 | 14 | 1 | 4 | 23 | 30 | 3 | 4 | 2 | 255 | 305 | 332 | 637 | 78 | 265 | 8 | 6 | 288 | 81 | -9 | +0 | +2 | +1 | +8 | 0.4 |
| 2018 | 27 | AAA MLE | Sacramento River Cats | — | 20 | 19 | 6 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 316 | 350 | 316 | 666 | 371 | 20 | 5 | 292 | 84 | — | — | — | — | — | — | |
| 2019 | 28 | MLB MLE | New York Mets | — | 491 | 440 | 110 | 22 | 2 | 5 | 41 | 47 | 4 | 4 | 2 | 250 | 320 | 343 | 663 | 93 | 262 | 10 | 8 | 300 | 89 | -6 | +0 | +5 | +2 | +11 | 1.1 |
| 2020 | 29 | MLB MLE | Toronto Blue Jays | — | 141 | 120 | 27 | 6 | 0 | 1 | 20 | 27 | 1 | 0 | 0 | 225 | 340 | 300 | 640 | 75 | 283 | 19 | 14 | 302 | 90 | -2 | +0 | -0 | +1 | +3 | 0.2 |
| 2021 | 30 | MLB MLE | Miami Marlins | — | 257 | 237 | 51 | 10 | 0 | 3 | 16 | 34 | 2 | 2 | 0 | 215 | 271 | 295 | 566 | 80 | 230 | 13 | 6 | 256 | 59 | -12 | +0 | -3 | +1 | +6 | -0.9 |
| 2011 | 20 | INTL MLE | Scottsdale Scorpions | — | 104 | 93 | 30 | 6 | 1 | 2 | 9 | 10 | 2 | 0 | 0 | 323 | 394 | 473 | 867 | 151 | 346 | 10 | 9 | — | — | — | — | — | — | — | — |
| 2011 | 20 | INTL RAW | Scottsdale Scorpions | — | 104 | 93 | 30 | 6 | 1 | 2 | 9 | 10 | 2 | 0 | 0 | 323 | 394 | 473 | 867 | 151 | 346 | 10 | 9 | 387 | 148 | — | — | — | — | — | — |
| 2012 | 21 | A+ MLE | 2 teams | — | 693 | 636 | 175 | 29 | 4 | 8 | 45 | 82 | 5 | 14 | 4 | 275 | 328 | 371 | 699 | 96 | 303 | 12 | 6 | 306 | 93 | — | — | — | — | — | — |
| 2012 | 21 | A+ RAW | 2 teams | — | 693 | 613 | 175 | 27 | 5 | 8 | 68 | 61 | 5 | 14 | 4 | 285 | 362 | 385 | 747 | 100 | 304 | 9 | 10 | 336 | 93 | — | — | — | — | — | — |
| 2013 | 22 | AA MLE | Richmond Flying Squirrels | — | 599 | 539 | 136 | 25 | 4 | 4 | 40 | 86 | 5 | 10 | 5 | 252 | 310 | 336 | 646 | 83 | 290 | 14 | 7 | 280 | 76 | — | — | — | — | — | — |
| 2013 | 22 | AA RAW | Richmond Flying Squirrels | — | 599 | 521 | 135 | 27 | 4 | 4 | 58 | 68 | 5 | 10 | 5 | 259 | 339 | 349 | 688 | 90 | 288 | 11 | 10 | 307 | 76 | — | — | — | — | — | — |
| 2014 | 23 | AAA MLE | 2 teams | — | 613 | 570 | 173 | 22 | 6 | 5 | 35 | 76 | 3 | 3 | 2 | 304 | 347 | 389 | 737 | 86 | 341 | 12 | 6 | 326 | 107 | — | — | — | — | — | — |
| 2014 | 23 | AAA RAW | 2 teams | — | 613 | 562 | 176 | 24 | 6 | 6 | 43 | 66 | 3 | 3 | 2 | 313 | 365 | 409 | 774 | 96 | 345 | 11 | 7 | 346 | 107 | — | — | — | — | — | — |
| 2015 | 24 | MLB MLE | San Francisco Giants | — | 432 | 382 | 121 | 27 | 2 | 9 | 38 | 42 | 5 | 3 | 2 | 317 | 386 | 469 | 854 | 152 | 334 | 10 | 9 | 373 | 139 | +20 | -0 | +5 | +2 | +9 | 3.6 |
| 2015 | 24 | MLB RAW | San Francisco Giants | — | 432 | 382 | 119 | 27 | 2 | 8 | 38 | 42 | 5 | 3 | 2 | 312 | 381 | 455 | 837 | 144 | 330 | 10 | 9 | 368 | 139 | +20 | -0 | +5 | +2 | +9 | 3.6 |
| 2016 | 25 | MLB MLE | San Francisco Giants | — | 526 | 469 | 113 | 21 | 7 | 11 | 45 | 47 | 4 | 5 | 0 | 241 | 313 | 386 | 699 | 145 | 245 | 9 | 9 | 308 | 95 | -3 | +1 | +7 | +2 | +11 | 1.9 |
| 2016 | 25 | MLB RAW | San Francisco Giants | — | 526 | 464 | 111 | 21 | 7 | 10 | 50 | 47 | 4 | 5 | 0 | 239 | 319 | 379 | 698 | 140 | 245 | 9 | 10 | 310 | 95 | -3 | +1 | +7 | +2 | +11 | 1.9 |
| 2017 | 26 | MLB MLE | San Francisco Giants | — | 573 | 515 | 150 | 28 | 5 | 11 | 42 | 54 | 5 | 4 | 1 | 291 | 351 | 429 | 780 | 138 | 303 | 9 | 7 | 340 | 116 | +11 | +0 | -3 | +2 | +12 | 2.4 |
| 2017 | 26 | MLB RAW | San Francisco Giants | — | 573 | 511 | 147 | 28 | 5 | 10 | 46 | 54 | 5 | 4 | 1 | 288 | 352 | 421 | 773 | 133 | 301 | 9 | 8 | 340 | 116 | +11 | +0 | -3 | +2 | +12 | 2.4 |
| 2018 | 27 | MLB MLE | 2 teams | — | 412 | 380 | 98 | 14 | 1 | 4 | 24 | 34 | 3 | 4 | 2 | 258 | 307 | 332 | 639 | 74 | 272 | 8 | 6 | 288 | 81 | -9 | +0 | +2 | +1 | +9 | 0.4 |
| 2018 | 27 | MLB RAW | 2 teams | — | 412 | 376 | 97 | 14 | 1 | 4 | 28 | 33 | 3 | 4 | 2 | 258 | 314 | 332 | 647 | 74 | 271 | 8 | 7 | 292 | 81 | -9 | +0 | +2 | +1 | +9 | 0.4 |
| 2019 | 28 | MLB MLE | New York Mets | — | 491 | 440 | 110 | 22 | 2 | 5 | 41 | 47 | 4 | 4 | 2 | 250 | 320 | 343 | 663 | 93 | 268 | 10 | 8 | 300 | 89 | -6 | +0 | +5 | +2 | +11 | 1.1 |
| 2019 | 28 | MLB RAW | New York Mets | — | 491 | 438 | 107 | 21 | 2 | 5 | 43 | 47 | 4 | 4 | 2 | 244 | 318 | 336 | 653 | 91 | 262 | 10 | 9 | 295 | 89 | -6 | +0 | +5 | +2 | +11 | 1.1 |
| 2020 | 29 | MLB MLE | Toronto Blue Jays | — | 141 | 120 | 27 | 6 | 0 | 1 | 20 | 27 | 1 | 0 | 0 | 225 | 340 | 300 | 640 | 75 | 283 | 19 | 14 | 302 | 90 | -2 | +0 | -0 | +1 | +3 | 0.2 |
| 2020 | 29 | MLB RAW | Toronto Blue Jays | — | 141 | 120 | 27 | 6 | 0 | 1 | 20 | 27 | 1 | 0 | 0 | 225 | 340 | 300 | 640 | 75 | 283 | 19 | 14 | 302 | 90 | -2 | +0 | -0 | +1 | +3 | 0.2 |
| 2021 | 30 | MLB MLE | Miami Marlins | — | 257 | 237 | 51 | 10 | 0 | 3 | 16 | 34 | 2 | 2 | 0 | 215 | 271 | 295 | 566 | 80 | 239 | 13 | 6 | 256 | 59 | -12 | +0 | -3 | +1 | +6 | -0.9 |
| 2021 | 30 | MLB RAW | Miami Marlins | — | 257 | 236 | 49 | 9 | 0 | 3 | 17 | 34 | 2 | 2 | 0 | 208 | 267 | 284 | 551 | 76 | 230 | 13 | 7 | 251 | 59 | -12 | +0 | -3 | +1 | +6 | -0.9 |
| 2012 | 21 | A+ MLE | 2 teams | — | 693 | 638 | 175 | 29 | 4 | 8 | 45 | 82 | 5 | 14 | 4 | 274 | 328 | 370 | 698 | 96 | 299 | 12 | 6 | 306 | 93 | — | — | — | — | — | — |
| 2013 | 22 | AA MLE | Richmond Flying Squirrels | — | 599 | 549 | 136 | 25 | 4 | 4 | 40 | 86 | 5 | 10 | 5 | 248 | 310 | 330 | 640 | 82 | 280 | 14 | 7 | 280 | 76 | — | — | — | — | — | — |
| 2014 | 23 | AAA MLE | 2 teams | — | 613 | 570 | 173 | 22 | 6 | 5 | 35 | 76 | 3 | 3 | 2 | 304 | 347 | 389 | 737 | 86 | 337 | 12 | 6 | 326 | 107 | — | — | — | — | — | — |
| 2015 | 24 | MLB MLE | San Francisco Giants | — | 432 | 386 | 121 | 27 | 2 | 9 | 38 | 42 | 5 | 3 | 2 | 313 | 386 | 464 | 850 | 150 | 330 | 10 | 9 | 373 | 139 | — | — | — | — | — | — |
| 2016 | 25 | MLB MLE | San Francisco Giants | — | 526 | 472 | 113 | 21 | 7 | 11 | 45 | 47 | 4 | 5 | 0 | 239 | 313 | 383 | 696 | 144 | 245 | 9 | 9 | 308 | 95 | — | — | — | — | — | — |
| 2017 | 26 | MLB MLE | San Francisco Giants | — | 573 | 521 | 150 | 28 | 5 | 11 | 42 | 54 | 5 | 4 | 1 | 288 | 351 | 424 | 775 | 136 | 301 | 9 | 7 | 340 | 116 | — | — | — | — | — | — |
| 2018 | 27 | MLB MLE | 2 teams | — | 412 | 382 | 98 | 14 | 1 | 4 | 24 | 34 | 3 | 4 | 2 | 257 | 307 | 330 | 637 | 73 | 270 | 8 | 6 | 288 | 81 | — | — | — | — | — | — |
| 2019 | 28 | MLB MLE | New York Mets | — | 491 | 443 | 110 | 22 | 2 | 5 | 41 | 47 | 4 | 4 | 2 | 248 | 320 | 341 | 660 | 93 | 262 | 10 | 8 | 300 | 89 | — | — | — | — | — | — |
| 2020 | 29 | MLB MLE | Toronto Blue Jays | — | 141 | 119 | 27 | 6 | 0 | 1 | 20 | 27 | 1 | 0 | 0 | 227 | 340 | 303 | 643 | 76 | 283 | 19 | 14 | 302 | 90 | — | — | — | — | — | — |
| 2021 | 30 | MLB MLE | Miami Marlins | — | 257 | 237 | 51 | 10 | 0 | 3 | 16 | 34 | 2 | 2 | 0 | 215 | 271 | 295 | 566 | 80 | 230 | 13 | 6 | 256 | 59 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 3099 | 2778 | 733 | 136 | 19 | 42 | 256 | 314 | 24 | 22 | 7 | 264 | 331 | 372 | 703 | 108 | 282 | 10 | 8 | 314 | 92 | -4 | +2 | +14 | +12 | +67 | 9.3 | |
| / 162G | — | A+C | — | 650 | 583 | 154 | 29 | 4 | 9 | 54 | 66 | 5 | 5 | 1 | 264 | 332 | 374 | 706 | 110 | 282 | 10 | 8 | 314 | 92 | -1 | +0 | +3 | +3 | +14 | 1.9 | |
| Career | — | MLE | — | 4841 | 4381 | 1184 | 210 | 32 | 63 | 355 | 539 | 39 | 49 | 18 | 270 | 330 | 376 | 706 | 106 | 294 | 11 | 7 | 304 | 92 | -4 | +2 | +14 | +12 | +67 | 9.3 | |
| / 162G | — | MLE | — | 650 | 588 | 158 | 28 | 4 | 8 | 48 | 72 | 5 | 7 | 2 | 269 | 329 | 371 | 699 | 102 | 292 | 11 | 7 | 304 | 92 | -1 | +0 | +3 | +3 | +14 | 1.9 | |
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.
2018 AAASacramento River Cats · 20 PAwOBA .333 → .292 (−41)K% 15.0% → 18.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.00% | ÷1.071 | ×1.290 | — | — | 18.06% |
| BB% (unintentional) /PA | 10.00% | ÷1.043 | ×0.710 | — | ×0.992 | 6.75% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×0.992 | 0.00% |
| Singles /BIP | 40.00% | ÷0.963 | ×0.900 | — | ×0.992 | 37.07% |
| Doubles /BIP | 0.00% | ÷0.910 | ×0.810 | — | ×0.992 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | — | ×0.992 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.998 | ×0.780 | — | ×0.992 | 0.00% |
Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — 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).
Result: wOBA .333 → .292; ISO .000 → .000; BABIP .400 → .371. 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).
2014 AAAFresno Grizzlies · 326 PAwOBA .359 → .328 (−31)K% 10.1% → 13.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.12% | ÷0.994 | ×1.290 | — | — | 13.14% |
| BB% (unintentional) /PA | 7.67% | ÷1.005 | ×0.710 | — | ×1.048 | 5.68% |
| HBP% /PA | 0.92% | — | ×0.980 | — | ×1.048 | 0.95% |
| Singles /BIP | 27.31% | ÷1.002 | ×0.900 | ×1.037 | ×1.048 | 26.66% |
| Doubles /BIP | 5.38% | ÷1.014 | ×0.810 | ×1.037 | ×1.048 | 4.67% |
| Triples /BIP | 1.54% | ÷0.900 | ×0.810 | ×1.037 | ×1.048 | 1.50% |
| Home runs /BIP | 1.92% | ÷1.045 | ×0.780 | — | ×1.048 | 1.50% |
Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 100, 2B 103, 3B 80, K 99, BB 101 — 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 ×1.037.
Result: wOBA .359 → .328; ISO .126 → .109; BABIP .346 → .331. 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).
2013 AARichmond Flying Squirrels · 599 PAwOBA .302 → .280 (−22)K% 11.4% → 14.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.35% | ÷0.969 | ×1.220 | — | — | 14.29% |
| BB% (unintentional) /PA | 9.52% | ÷1.036 | ×0.700 | — | ×1.027 | 6.60% |
| HBP% /PA | 0.83% | — | ×0.850 | — | ×1.027 | 0.73% |
| Singles /BIP | 22.08% | ÷1.018 | ×0.970 | ×1.021 | ×1.027 | 22.04% |
| Doubles /BIP | 5.96% | ÷1.030 | ×0.860 | ×1.021 | ×1.027 | 5.22% |
| Triples /BIP | 0.88% | ÷1.011 | ×0.950 | ×1.021 | ×1.027 | 0.87% |
| Home runs /BIP | 0.88% | ÷0.934 | ×0.780 | — | ×1.027 | 0.76% |
Factors used: league row EL. Park (home-season share, regressed): HR 87, 1B 104, 2B 106, 3B 102, K 94, 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 ×1.021.
Result: wOBA .302 → .280; ISO .090 → .083; BABIP .288 → .280. 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).
2012 A+San Jose Giants · 605 PAwOBA .339 → .306 (−33)K% 8.9% → 11.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 8.93% | ÷1.001 | ×1.340 | — | — | 11.95% |
| BB% (unintentional) /PA | 9.42% | ÷1.047 | ×0.710 | — | ×1.012 | 6.46% |
| HBP% /PA | 0.83% | — | ×0.790 | — | ×1.012 | 0.66% |
| Singles /BIP | 25.16% | ÷0.994 | ×0.910 | ×1.025 | ×1.012 | 23.89% |
| Doubles /BIP | 5.61% | ÷0.926 | ×0.820 | ×1.025 | ×1.012 | 5.15% |
| Triples /BIP | 0.83% | ÷0.900 | ×0.760 | ×1.025 | ×1.012 | 0.73% |
| Home runs /BIP | 1.46% | ÷0.984 | ×0.920 | — | ×1.012 | 1.38% |
Factors used: league row CAL. Park (home-season share, regressed): HR 97, 1B 99, 2B 85, 3B 80, K 100, BB 109 — 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 ×1.025.
Result: wOBA .339 → .306; ISO .105 → .098; BABIP .317 → .299. 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 — .