Pedro Álvarez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2016 | 29 | MLBBAL | 376 | .249/.324/.504 | 22 | 1 | 121 | 1.7 | ||
| 2017 | 30 | AAABAL | 595 | .239/.296/.442 | 26 | 1 | 70 | — | .209/.250/.386 | |
| 2017 | 30 | MLBBAL | 34 | .312/.353/.438 | 1 | 0 | 120 | -1.0 | ||
| 2018 | 31 | AAABAL | 178 | .285/.333/.467 | 8 | 0 | 82 | — | .249/.282/.402 | |
| 2018 | 31 | MLBBAL | 127 | .180/.283/.414 | 8 | 0 | 87 | 0.3 | ||
| 2019 | 32 | No MLB games played | ||||||||
| 2020 | 33 | No MLB games played | ||||||||
| 2021 | 34 | No MLB games played | ||||||||
| 2022 | 35 | No MLB games played | ||||||||
| 2023 | 36 | No MLB games played | ||||||||
| 2024 | 37 | No MLB games played | ||||||||
| 2025 | 38 | No MLB games played | ||||||||
| 2026 | 39 | 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) | |||||||||||||||||||||||||||||||
| 2009 | 22 | AA | Altoona Curve | — | 258 | 222 | 74 | 18 | 0 | 13 | 34 | 59 | 0 | 1 | 0 | 333 | 422 | 590 | 1.012 | 257 | 401 | 23 | 13 | 437 | 141 | — | — | — | — | — | — |
| 2009 | 22 | A+ | Lynchburg Hillcats | — | 284 | 243 | 60 | 14 | 1 | 14 | 37 | 70 | 0 | 1 | 1 | 247 | 346 | 486 | 832 | 239 | 282 | 25 | 13 | 361 | 80 | — | — | — | — | — | — |
| 2010 | 23 | MLB | Pittsburgh Pirates | — | 386 | 347 | 89 | 21 | 1 | 16 | 37 | 119 | 0 | 0 | 0 | 256 | 328 | 461 | 789 | 205 | 341 | 31 | 10 | 347 | 123 | +10 | +0 | -3 | +2 | +8 | 1.9 |
| 2010 | 23 | AAA | Indianapolis Indians | — | 278 | 242 | 67 | 15 | 4 | 13 | 32 | 68 | 2 | 4 | 4 | 277 | 366 | 533 | 899 | 256 | 331 | 24 | 12 | 389 | 101 | — | — | — | — | — | — |
| 2011 | 24 | MLB | Pittsburgh Pirates | — | 262 | 235 | 45 | 9 | 1 | 4 | 24 | 80 | 2 | 1 | 0 | 191 | 272 | 289 | 561 | 98 | 272 | 31 | 9 | 259 | 60 | -12 | +0 | -1 | +2 | +6 | -0.6 |
| 2011 | 24 | AAA | Indianapolis Indians | — | 148 | 125 | 32 | 5 | 1 | 5 | 22 | 42 | 0 | 0 | 1 | 256 | 367 | 432 | 799 | 176 | 342 | 28 | 15 | 357 | 95 | — | — | — | — | — | — |
| 2011 | 24 | A+ | Bradenton Marauders | — | 21 | 16 | 3 | 0 | 0 | 1 | 3 | 5 | 2 | 0 | 0 | 188 | 381 | 375 | 756 | 188 | 200 | 24 | 14 | 355 | 66 | — | — | — | — | — | — |
| 2012 | 25 | MLB | Pittsburgh Pirates | — | 586 | 525 | 128 | 25 | 1 | 30 | 57 | 180 | 1 | 1 | 0 | 244 | 319 | 467 | 786 | 223 | 308 | 31 | 10 | 344 | 119 | +13 | +0 | -4 | +2 | +13 | 2.5 |
| 2013 | 26 | MLB | Pittsburgh Pirates | — | 614 | 558 | 130 | 22 | 2 | 36 | 48 | 186 | 4 | 2 | 0 | 233 | 298 | 473 | 771 | 240 | 276 | 30 | 8 | 336 | 114 | +10 | +0 | -1 | +2 | +13 | 2.6 |
| 2014 | 27 | MLB | Pittsburgh Pirates | — | 445 | 398 | 92 | 13 | 1 | 18 | 45 | 113 | 2 | 8 | 3 | 231 | 312 | 405 | 717 | 173 | 277 | 25 | 10 | 321 | 101 | +1 | +0 | -10 | +2 | +10 | 0.2 |
| 2015 | 28 | MLB | Pittsburgh Pirates | — | 491 | 437 | 106 | 18 | 0 | 27 | 48 | 131 | 2 | 2 | 0 | 243 | 320 | 469 | 789 | 227 | 279 | 27 | 10 | 345 | 116 | +10 | +0 | -20 | -9 | +11 | -0.8 |
| 2016 | 29 | MLB | Baltimore Orioles | — | 376 | 337 | 84 | 20 | 0 | 22 | 37 | 97 | 0 | 1 | 0 | 249 | 324 | 504 | 828 | 255 | 282 | 26 | 10 | 360 | 121 | +9 | +0 | -2 | +1 | +8 | 1.7 |
| 2017 | 30 | MLB | Baltimore Orioles | — | 34 | 32 | 10 | 1 | 0 | 1 | 2 | 10 | 0 | 0 | 0 | 312 | 353 | 438 | 790 | 125 | 429 | 29 | 6 | 353 | 120 | +1 | +0 | +0 | -11 | +1 | -1.0 |
| 2017 | 30 | AAA | Norfolk Tides | — | 595 | 547 | 131 | 31 | 1 | 26 | 42 | 137 | 2 | 1 | 0 | 239 | 296 | 442 | 739 | 203 | 271 | 23 | 7 | 323 | 70 | — | — | — | — | — | — |
| 2018 | 31 | MLB | Baltimore Orioles | — | 127 | 111 | 20 | 2 | 0 | 8 | 16 | 36 | 0 | 0 | 0 | 180 | 283 | 414 | 698 | 234 | 179 | 28 | 13 | 310 | 87 | -2 | +0 | +1 | +1 | +3 | 0.3 |
| 2018 | 31 | AAA | Norfolk Tides | — | 178 | 165 | 47 | 6 | 0 | 8 | 11 | 42 | 1 | 0 | 0 | 285 | 333 | 467 | 800 | 182 | 336 | 24 | 6 | 352 | 82 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 3321 | 2980 | 704 | 131 | 6 | 162 | 314 | 952 | 11 | 15 | 3 | 236 | 311 | 447 | 759 | 211 | 288 | 29 | 9 | 334 | 112 | +48 | +2 | -40 | -8 | +72 | 7.6 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2009 | 22 | AA MLE | Altoona Curve | — | 258 | 235 | 71 | 16 | 0 | 11 | 21 | 72 | 0 | 1 | 0 | 302 | 359 | 511 | 870 | 209 | 382 | 28 | 8 | 376 | 141 | — | — | — | — | — | — |
| 2009 | 22 | A+ MLE | Lynchburg Hillcats | — | 284 | 259 | 53 | 11 | 1 | 12 | 21 | 99 | 0 | 1 | 1 | 205 | 264 | 394 | 658 | 189 | 262 | 35 | 7 | 287 | 80 | — | — | — | — | — | — |
| 2010 | 23 | MLB MLE | Pittsburgh Pirates | — | 386 | 348 | 89 | 20 | 1 | 17 | 36 | 119 | 0 | 0 | 0 | 256 | 326 | 466 | 791 | 210 | 341 | 31 | 9 | 350 | 123 | +10 | +0 | -3 | +2 | +8 | 1.9 |
| 2010 | 23 | AAA MLE | Indianapolis Indians | — | 278 | 252 | 58 | 13 | 3 | 11 | 22 | 85 | 2 | 4 | 4 | 230 | 297 | 437 | 734 | 206 | 297 | 31 | 8 | 318 | 101 | — | — | — | — | — | — |
| 2011 | 24 | MLB MLE | Pittsburgh Pirates | — | 262 | 236 | 45 | 9 | 1 | 4 | 23 | 80 | 2 | 1 | 0 | 191 | 268 | 288 | 556 | 97 | 272 | 31 | 9 | 257 | 60 | -12 | +0 | -1 | +2 | +6 | -0.6 |
| 2011 | 24 | AAA MLE | Indianapolis Indians | — | 148 | 133 | 31 | 5 | 1 | 5 | 14 | 51 | 0 | 0 | 1 | 233 | 306 | 398 | 705 | 165 | 328 | 34 | 9 | 308 | 95 | — | — | — | — | — | — |
| 2011 | 24 | A+ MLE | Bradenton Marauders | — | 21 | 17 | 3 | 0 | 0 | 1 | 2 | 7 | 2 | 0 | 0 | 176 | 333 | 353 | 686 | 176 | 167 | 33 | 10 | 266 | 66 | — | — | — | — | — | — |
| 2012 | 25 | MLB MLE | Pittsburgh Pirates | — | 586 | 531 | 129 | 24 | 1 | 32 | 51 | 180 | 1 | 1 | 0 | 243 | 310 | 473 | 783 | 230 | 308 | 31 | 9 | 344 | 119 | +13 | +0 | -4 | +2 | +13 | 2.5 |
| 2013 | 26 | MLB MLE | Pittsburgh Pirates | — | 614 | 565 | 132 | 21 | 2 | 39 | 41 | 186 | 4 | 2 | 0 | 234 | 290 | 485 | 775 | 251 | 276 | 30 | 7 | 336 | 114 | +10 | +0 | -1 | +2 | +13 | 2.6 |
| 2014 | 27 | MLB MLE | Pittsburgh Pirates | — | 445 | 404 | 92 | 12 | 1 | 19 | 39 | 113 | 2 | 8 | 3 | 228 | 299 | 403 | 702 | 176 | 277 | 25 | 9 | 318 | 101 | +1 | +0 | -10 | +2 | +10 | 0.2 |
| 2015 | 28 | MLB MLE | Pittsburgh Pirates | — | 491 | 446 | 107 | 17 | 0 | 29 | 39 | 131 | 2 | 2 | 0 | 240 | 304 | 473 | 777 | 233 | 279 | 27 | 8 | 340 | 116 | +10 | +0 | -20 | -9 | +11 | -0.8 |
| 2016 | 29 | MLB MLE | Baltimore Orioles | — | 376 | 338 | 82 | 20 | 0 | 20 | 36 | 97 | 0 | 1 | 0 | 243 | 316 | 479 | 795 | 237 | 282 | 26 | 10 | 346 | 121 | +9 | +0 | -2 | +1 | +8 | 1.7 |
| 2017 | 30 | MLB MLE | Baltimore Orioles | — | 34 | 32 | 10 | 1 | 0 | 1 | 2 | 10 | 0 | 0 | 0 | 312 | 353 | 438 | 790 | 125 | 429 | 29 | 6 | 346 | 120 | +1 | +0 | +0 | -11 | +1 | -1.0 |
| 2017 | 30 | AAA MLE | Norfolk Tides | — | 595 | 560 | 117 | 25 | 1 | 24 | 29 | 165 | 2 | 1 | 0 | 209 | 250 | 386 | 636 | 177 | 244 | 28 | 5 | 271 | 70 | — | — | — | — | — | — |
| 2018 | 31 | MLB MLE | Baltimore Orioles | — | 127 | 111 | 19 | 2 | 0 | 7 | 16 | 36 | 0 | 0 | 0 | 171 | 276 | 378 | 654 | 207 | 179 | 28 | 13 | 297 | 87 | -2 | +0 | +1 | +1 | +3 | 0.3 |
| 2018 | 31 | AAA MLE | Norfolk Tides | — | 178 | 169 | 42 | 5 | 0 | 7 | 7 | 50 | 1 | 0 | 0 | 249 | 282 | 402 | 685 | 154 | 305 | 28 | 4 | 289 | 82 | — | — | — | — | — | — |
| 2009 | 22 | A+ MLE | 2 teams | — | 542 | 494 | 124 | 28 | 1 | 23 | 42 | 171 | 0 | 2 | 1 | 251 | 310 | 451 | 761 | 200 | 330 | 32 | 8 | 329 | 109 | — | — | — | — | — | — |
| 2009 | 22 | A+ RAW | 2 teams | — | 542 | 465 | 134 | 32 | 1 | 27 | 71 | 129 | 0 | 2 | 1 | 288 | 382 | 535 | 918 | 247 | 340 | 24 | 13 | 397 | 109 | — | — | — | — | — | — |
| 2010 | 23 | MLB MLE | 2 teams | — | 664 | 600 | 148 | 33 | 4 | 28 | 58 | 204 | 2 | 4 | 4 | 247 | 315 | 455 | 770 | 208 | 323 | 31 | 9 | 336 | 114 | +11 | -1 | -3 | +2 | +14 | 2.5 |
| 2010 | 23 | MLB RAW | 2 teams | — | 664 | 589 | 156 | 36 | 5 | 29 | 69 | 187 | 2 | 4 | 4 | 265 | 344 | 491 | 835 | 226 | 337 | 28 | 10 | 365 | 114 | +11 | -1 | -3 | +2 | +14 | 2.5 |
| 2011 | 24 | MLB MLE | 3 teams | — | 431 | 386 | 78 | 13 | 2 | 10 | 39 | 138 | 4 | 1 | 1 | 202 | 282 | 324 | 606 | 122 | 285 | 32 | 9 | 275 | 72 | -14 | -0 | -1 | +2 | +9 | -0.5 |
| 2011 | 24 | MLB RAW | 3 teams | — | 431 | 376 | 80 | 14 | 2 | 10 | 49 | 127 | 4 | 1 | 1 | 213 | 310 | 340 | 650 | 128 | 292 | 29 | 11 | 297 | 72 | -14 | -0 | -1 | +2 | +9 | -0.5 |
| 2012 | 25 | MLB MLE | Pittsburgh Pirates | — | 586 | 531 | 129 | 24 | 1 | 32 | 51 | 180 | 1 | 1 | 0 | 243 | 310 | 473 | 783 | 230 | 301 | 31 | 9 | 344 | 119 | +13 | +0 | -4 | +2 | +13 | 2.5 |
| 2012 | 25 | MLB RAW | Pittsburgh Pirates | — | 586 | 525 | 128 | 25 | 1 | 30 | 57 | 180 | 1 | 1 | 0 | 244 | 319 | 467 | 786 | 223 | 308 | 31 | 10 | 344 | 119 | +13 | +0 | -4 | +2 | +13 | 2.5 |
| 2013 | 26 | MLB MLE | Pittsburgh Pirates | — | 614 | 565 | 132 | 21 | 2 | 39 | 41 | 186 | 4 | 2 | 0 | 234 | 290 | 485 | 775 | 251 | 270 | 30 | 7 | 336 | 114 | +10 | +0 | -1 | +2 | +13 | 2.6 |
| 2013 | 26 | MLB RAW | Pittsburgh Pirates | — | 614 | 558 | 130 | 22 | 2 | 36 | 48 | 186 | 4 | 2 | 0 | 233 | 298 | 473 | 771 | 240 | 276 | 30 | 8 | 336 | 114 | +10 | +0 | -1 | +2 | +13 | 2.6 |
| 2014 | 27 | MLB MLE | Pittsburgh Pirates | — | 445 | 404 | 92 | 12 | 1 | 19 | 39 | 113 | 2 | 8 | 3 | 228 | 299 | 403 | 702 | 176 | 268 | 25 | 9 | 318 | 101 | +1 | +0 | -10 | +2 | +10 | 0.2 |
| 2014 | 27 | MLB RAW | Pittsburgh Pirates | — | 445 | 398 | 92 | 13 | 1 | 18 | 45 | 113 | 2 | 8 | 3 | 231 | 312 | 405 | 717 | 173 | 277 | 25 | 10 | 321 | 101 | +1 | +0 | -10 | +2 | +10 | 0.2 |
| 2015 | 28 | MLB MLE | Pittsburgh Pirates | — | 491 | 446 | 107 | 17 | 0 | 29 | 39 | 131 | 2 | 2 | 0 | 240 | 304 | 473 | 777 | 233 | 269 | 27 | 8 | 340 | 116 | +10 | +0 | -20 | -9 | +11 | -0.8 |
| 2015 | 28 | MLB RAW | Pittsburgh Pirates | — | 491 | 437 | 106 | 18 | 0 | 27 | 48 | 131 | 2 | 2 | 0 | 243 | 320 | 469 | 789 | 227 | 279 | 27 | 10 | 345 | 116 | +10 | +0 | -20 | -9 | +11 | -0.8 |
| 2016 | 29 | MLB MLE | Baltimore Orioles | — | 376 | 338 | 82 | 20 | 0 | 20 | 36 | 97 | 0 | 1 | 0 | 243 | 316 | 479 | 795 | 237 | 278 | 26 | 10 | 346 | 121 | +9 | +0 | -2 | +1 | +8 | 1.7 |
| 2016 | 29 | MLB RAW | Baltimore Orioles | — | 376 | 337 | 84 | 20 | 0 | 22 | 37 | 97 | 0 | 1 | 0 | 249 | 324 | 504 | 828 | 255 | 282 | 26 | 10 | 360 | 121 | +9 | +0 | -2 | +1 | +8 | 1.7 |
| 2017 | 30 | AAA MLE | 2 teams | — | 629 | 592 | 127 | 26 | 1 | 25 | 31 | 175 | 2 | 1 | 0 | 215 | 256 | 389 | 645 | 174 | 258 | 28 | 5 | 275 | 72 | — | — | — | — | — | — |
| 2017 | 30 | AAA RAW | 2 teams | — | 629 | 579 | 141 | 32 | 1 | 27 | 44 | 147 | 2 | 1 | 0 | 244 | 299 | 442 | 741 | 199 | 279 | 23 | 7 | 325 | 72 | — | — | — | — | — | — |
| 2018 | 31 | AAA MLE | 2 teams | — | 305 | 280 | 61 | 7 | 0 | 14 | 23 | 86 | 1 | 0 | 0 | 218 | 280 | 393 | 672 | 175 | 260 | 28 | 8 | 292 | 84 | — | — | — | — | — | — |
| 2018 | 31 | AAA RAW | 2 teams | — | 305 | 276 | 67 | 8 | 0 | 16 | 27 | 78 | 1 | 0 | 0 | 243 | 312 | 446 | 758 | 203 | 279 | 26 | 9 | 335 | 84 | — | — | — | — | — | — |
| 2009 | 22 | A+ MLE | 2 teams | — | 542 | 495 | 124 | 28 | 1 | 23 | 42 | 171 | 0 | 2 | 1 | 251 | 310 | 451 | 760 | 200 | 319 | 32 | 8 | 329 | 109 | — | — | — | — | — | — |
| 2010 | 23 | MLB MLE | 2 teams | — | 664 | 599 | 148 | 33 | 4 | 28 | 58 | 204 | 2 | 4 | 4 | 247 | 315 | 456 | 771 | 209 | 323 | 31 | 9 | 336 | 114 | — | — | — | — | — | — |
| 2011 | 24 | MLB MLE | 3 teams | — | 431 | 385 | 78 | 13 | 2 | 10 | 39 | 138 | 4 | 1 | 1 | 203 | 282 | 325 | 607 | 122 | 286 | 32 | 9 | 275 | 72 | — | — | — | — | — | — |
| 2012 | 25 | MLB MLE | Pittsburgh Pirates | — | 586 | 529 | 129 | 24 | 1 | 32 | 51 | 180 | 1 | 1 | 0 | 244 | 310 | 474 | 785 | 231 | 308 | 31 | 9 | 344 | 119 | — | — | — | — | — | — |
| 2013 | 26 | MLB MLE | Pittsburgh Pirates | — | 614 | 564 | 132 | 21 | 2 | 39 | 41 | 186 | 4 | 2 | 0 | 234 | 290 | 486 | 776 | 252 | 276 | 30 | 7 | 336 | 114 | — | — | — | — | — | — |
| 2014 | 27 | MLB MLE | Pittsburgh Pirates | — | 445 | 401 | 92 | 12 | 1 | 19 | 39 | 113 | 2 | 8 | 3 | 229 | 299 | 406 | 705 | 177 | 277 | 25 | 9 | 318 | 101 | — | — | — | — | — | — |
| 2015 | 28 | MLB MLE | Pittsburgh Pirates | — | 491 | 447 | 107 | 17 | 0 | 29 | 39 | 131 | 2 | 2 | 0 | 239 | 304 | 472 | 776 | 233 | 279 | 27 | 8 | 340 | 116 | — | — | — | — | — | — |
| 2016 | 29 | MLB MLE | Baltimore Orioles | — | 376 | 337 | 82 | 20 | 0 | 20 | 36 | 97 | 0 | 1 | 0 | 243 | 316 | 481 | 796 | 237 | 282 | 26 | 10 | 346 | 121 | — | — | — | — | — | — |
| 2017 | 30 | AAA MLE | 2 teams | — | 629 | 591 | 127 | 26 | 1 | 25 | 31 | 175 | 2 | 1 | 0 | 215 | 256 | 389 | 645 | 174 | 254 | 28 | 5 | 275 | 72 | — | — | — | — | — | — |
| 2018 | 31 | AAA MLE | 2 teams | — | 305 | 278 | 61 | 7 | 0 | 14 | 23 | 86 | 1 | 0 | 0 | 219 | 280 | 396 | 675 | 176 | 253 | 28 | 8 | 292 | 84 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 3321 | 2980 | 704 | 131 | 6 | 162 | 314 | 952 | 11 | 15 | 3 | 236 | 311 | 447 | 759 | 211 | 288 | 29 | 9 | 334 | 103 | +48 | +2 | -40 | -8 | +72 | 7.6 | |
| / 162G | — | A+C | — | 650 | 583 | 138 | 26 | 1 | 32 | 61 | 186 | 2 | 3 | 1 | 237 | 311 | 449 | 760 | 213 | 288 | 29 | 9 | 334 | 103 | +9 | +0 | -8 | -2 | +14 | 1.5 | |
| Career | — | MLE | — | 5083 | 4636 | 1080 | 201 | 12 | 239 | 399 | 1481 | 18 | 22 | 9 | 233 | 296 | 436 | 732 | 203 | 286 | 29 | 8 | 321 | 103 | +48 | +2 | -40 | -8 | +72 | 7.6 | |
| / 162G | — | MLE | — | 650 | 593 | 139 | 26 | 2 | 31 | 51 | 189 | 2 | 3 | 1 | 234 | 297 | 442 | 739 | 207 | 286 | 29 | 8 | 321 | 103 | +9 | +0 | -8 | -2 | +14 | 1.5 | |
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.
2018 AAANorfolk Tides · 178 PAwOBA .342 → .289 (−53)K% 23.6% → 28.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.60% | ÷1.009 | ×1.200 | — | — | 28.06% |
| BB% (unintentional) /PA | 5.62% | ÷0.997 | ×0.690 | — | ×0.962 | 3.74% |
| HBP% /PA | 0.56% | — | ×0.940 | — | ×0.962 | 0.51% |
| Singles /BIP | 26.83% | ÷0.984 | ×0.930 | ×1.036 | ×0.962 | 25.28% |
| Doubles /BIP | 4.88% | ÷1.063 | ×0.830 | ×1.036 | ×0.962 | 3.80% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×1.036 | ×0.962 | 0.00% |
| Home runs /BIP | 6.50% | ÷0.964 | ×0.840 | — | ×0.962 | 5.45% |
Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 97, 2B 113, 3B 130, K 102, BB 99 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.
Result: wOBA .342 → .289; ISO .182 → .147; BABIP .336 → .305. 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 AAANorfolk Tides · 595 PAwOBA .315 → .271 (−44)K% 23.0% → 27.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.03% | ÷0.995 | ×1.200 | — | — | 27.78% |
| BB% (unintentional) /PA | 6.72% | ÷0.948 | ×0.690 | — | ×0.972 | 4.76% |
| HBP% /PA | 0.34% | — | ×0.940 | — | ×0.972 | 0.31% |
| Singles /BIP | 17.80% | ÷0.989 | ×0.930 | ×1.026 | ×0.972 | 16.70% |
| Doubles /BIP | 7.56% | ÷1.001 | ×0.830 | ×1.026 | ×0.972 | 6.26% |
| Triples /BIP | 0.24% | ÷1.150 | ×0.970 | ×1.026 | ×0.972 | 0.21% |
| Home runs /BIP | 6.34% | ÷0.866 | ×0.840 | — | ×0.972 | 5.98% |
Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 98, 2B 100, 3B 130, K 99, BB 90 — 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 ×1.026.
Result: wOBA .315 → .271; ISO .203 → .180; BABIP .271 → .244. 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).
2011 AAAIndianapolis Indians · 148 PAwOBA .343 → .308 (−35)K% 28.4% → 34.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.38% | ÷0.995 | ×1.200 | — | — | 34.21% |
| BB% (unintentional) /PA | 12.84% | ÷0.978 | ×0.690 | — | ×1.048 | 9.49% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.048 | 0.00% |
| Singles /BIP | 25.30% | ÷1.008 | ×0.930 | ×0.999 | ×1.048 | 24.43% |
| Doubles /BIP | 6.02% | ÷0.927 | ×0.830 | ×0.999 | ×1.048 | 5.65% |
| Triples /BIP | 1.20% | ÷0.984 | ×0.970 | ×0.999 | ×1.048 | 1.24% |
| Home runs /BIP | 6.02% | ÷0.955 | ×0.840 | — | ×1.048 | 5.56% |
Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 102, 2B 85, 3B 97, K 99, 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 ×0.999.
Result: wOBA .343 → .308; ISO .176 → .165; BABIP .342 → .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).
2011 A+Bradenton Marauders · 21 PAwOBA .347 → .266 (−80)K% 23.8% → 33.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.81% | ÷1.019 | ×1.420 | — | — | 33.18% |
| BB% (unintentional) /PA | 14.29% | ÷1.049 | ×0.750 | — | ×0.988 | 10.09% |
| HBP% /PA | 9.52% | — | ×0.930 | — | ×0.988 | 8.75% |
| Singles /BIP | 18.18% | ÷1.067 | ×0.920 | — | ×0.988 | 15.49% |
| Doubles /BIP | 0.00% | ÷1.104 | ×0.960 | — | ×0.988 | 0.00% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | — | ×0.988 | 0.00% |
| Home runs /BIP | 9.09% | ÷1.114 | ×0.880 | — | ×0.988 | 7.10% |
Factors used: league row FSL. Park (home-season share, regressed): HR 123, 1B 113, 2B 121, 3B 80, K 104, BB 110 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).
Result: wOBA .347 → .266; ISO .188 → .134; BABIP .200 → .167. 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).
2010 AAAIndianapolis Indians · 278 PAwOBA .379 → .318 (−62)K% 24.5% → 30.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.46% | ÷0.967 | ×1.200 | — | — | 30.35% |
| BB% (unintentional) /PA | 10.79% | ÷1.000 | ×0.690 | — | ×1.050 | 7.82% |
| HBP% /PA | 0.72% | — | ×0.940 | — | ×1.050 | 0.71% |
| Singles /BIP | 20.11% | ÷1.067 | ×0.930 | ×1.001 | ×1.050 | 18.44% |
| Doubles /BIP | 8.62% | ÷0.981 | ×0.830 | ×1.001 | ×1.050 | 7.67% |
| Triples /BIP | 2.30% | ÷1.148 | ×0.970 | ×1.001 | ×1.050 | 2.04% |
| Home runs /BIP | 7.47% | ÷1.048 | ×0.840 | — | ×1.050 | 6.29% |
Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 113, 2B 96, 3B 130, K 93, BB 100 — 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 ×1.001.
Result: wOBA .379 → .318; ISO .256 → .215; BABIP .331 → .297. 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).
2009 A+Lynchburg Hillcats · 284 PAwOBA .352 → .287 (−65)K% 24.6% → 35.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.65% | ÷1.000 | ×1.420 | — | — | 35.00% |
| BB% (unintentional) /PA | 11.62% | ÷1.000 | ×0.630 | — | ×1.012 | 7.41% |
| HBP% /PA | 0.00% | — | ×0.860 | — | ×1.012 | 0.00% |
| Singles /BIP | 17.92% | ÷1.000 | ×0.940 | ×1.023 | ×1.012 | 17.44% |
| Doubles /BIP | 8.09% | ÷1.000 | ×0.830 | ×1.023 | ×1.012 | 6.95% |
| Triples /BIP | 0.58% | ÷1.000 | ×0.800 | ×1.023 | ×1.012 | 0.48% |
| Home runs /BIP | 8.09% | ÷1.000 | ×0.900 | — | ×1.012 | 7.37% |
Factors used: league row CAR. 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 ×1.023.
Result: wOBA .352 → .287; ISO .239 → .202; BABIP .282 → .262. 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).
2009 AAAltoona Curve · 258 PAwOBA .424 → .376 (−47)K% 22.9% → 27.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.87% | ÷1.000 | ×1.220 | — | — | 27.90% |
| BB% (unintentional) /PA | 11.24% | ÷1.000 | ×0.700 | — | ×1.042 | 8.20% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×1.042 | 0.00% |
| Singles /BIP | 26.38% | ÷1.000 | ×0.970 | ×0.990 | ×1.042 | 26.39% |
| Doubles /BIP | 11.04% | ÷1.000 | ×0.860 | ×0.990 | ×1.042 | 9.79% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.950 | ×0.990 | ×1.042 | 0.00% |
| Home runs /BIP | 7.98% | ÷1.000 | ×0.780 | — | ×1.042 | 6.48% |
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 ×0.990.
Result: wOBA .424 → .376; ISO .257 → .217; BABIP .401 → .382. 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).