Eduard Pinto
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2019 | 24 | INTLLeones del Ca… | 106 | .260/.317/.271 | 0 | 2 | 69 | — |
| 2020 | 25 | INTLLeones del Ca… | 43 | .222/.349/.250 | 0 | 0 | 83 | — |
| 2021 | 26 | INTLTigres de Ara… | 30 | .208/.367/.208 | 0 | 0 | 83 | — |
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) | |||||||||||||||||||||||||||||||
| 2012 | 17 | ROK | DSL Rangers | — | 262 | 222 | 88 | 13 | 1 | 1 | 31 | 13 | 5 | 8 | 6 | 396 | 481 | 477 | 958 | 81 | 412 | 5 | 12 | 427 | 86 | — | — | — | — | — | — |
| 2013 | 18 | ROK | AZL Rangers | — | 54 | 54 | 17 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 315 | 315 | 370 | 685 | 56 | 354 | 11 | 0 | 306 | 31 | — | — | — | — | — | — |
| 2014 | 19 | A | Hickory Crawdads | — | 83 | 76 | 12 | 3 | 0 | 0 | 4 | 12 | 0 | 0 | 1 | 158 | 200 | 197 | 397 | 39 | 188 | 14 | 5 | 178 | -3 | — | — | — | — | — | — |
| 2014 | 19 | INTL | Navegantes del Magallanes | — | 46 | 43 | 11 | 3 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 256 | 289 | 326 | 614 | 70 | 282 | 9 | 4 | 271 | 70 | — | — | — | — | — | — |
| 2015 | 20 | A | Hickory Crawdads | — | 397 | 349 | 91 | 12 | 5 | 2 | 34 | 21 | 3 | 2 | 9 | 261 | 332 | 341 | 673 | 80 | 271 | 5 | 9 | 299 | 70 | — | — | — | — | — | — |
| 2015 | 20 | INTL | Navegantes del Magallanes | — | 55 | 46 | 14 | 2 | 0 | 0 | 6 | 2 | 1 | 1 | 2 | 304 | 396 | 348 | 744 | 43 | 318 | 4 | 11 | 334 | 112 | — | — | — | — | — | — |
| 2016 | 21 | AA | Frisco RoughRiders | — | 122 | 110 | 35 | 5 | 0 | 0 | 9 | 8 | 1 | 3 | 1 | 318 | 375 | 364 | 739 | 45 | 340 | 7 | 7 | 333 | 99 | — | — | — | — | — | — |
| 2016 | 21 | A | Hickory Crawdads | — | 206 | 184 | 62 | 11 | 0 | 5 | 17 | 16 | 1 | 1 | 3 | 337 | 396 | 478 | 874 | 141 | 345 | 8 | 8 | 382 | 107 | — | — | — | — | — | — |
| 2016 | 21 | INTL | Navegantes del Magallanes | — | 36 | 33 | 3 | 0 | 0 | 0 | 1 | 4 | 1 | 1 | 0 | 91 | 143 | 91 | 234 | 100 | 11 | 3 | 115 | -36 | — | — | — | — | — | — | |
| 2017 | 22 | A+ | Dunedin Blue Jays | — | 246 | 224 | 62 | 11 | 1 | 4 | 12 | 28 | 5 | 8 | 4 | 277 | 328 | 388 | 716 | 112 | 299 | 11 | 5 | 316 | 75 | — | — | — | — | — | — |
| 2018 | 23 | AA | New Hampshire Fisher Cats | — | 130 | 124 | 27 | 3 | 0 | 2 | 4 | 17 | 0 | 3 | 2 | 218 | 242 | 290 | 533 | 73 | 238 | 13 | 3 | 236 | 34 | — | — | — | — | — | — |
| 2018 | 23 | A+ | Dunedin Blue Jays | — | 251 | 227 | 70 | 15 | 1 | 2 | 15 | 15 | 3 | 8 | 8 | 308 | 359 | 410 | 769 | 101 | 321 | 6 | 6 | 338 | 93 | — | — | — | — | — | — |
| 2018 | 23 | INTL | Leones del Caracas | — | 106 | 96 | 24 | 4 | 0 | 0 | 8 | 8 | 0 | 0 | 0 | 250 | 308 | 292 | 599 | 42 | 273 | 8 | 8 | 272 | 70 | — | — | — | — | — | — |
| 2019 | 24 | INTL | Leones del Caracas | — | 106 | 96 | 25 | 1 | 0 | 0 | 7 | 8 | 1 | 2 | 1 | 260 | 317 | 271 | 588 | 10 | 281 | 8 | 7 | 270 | 69 | — | — | — | — | — | — |
| 2020 | 25 | INTL | Leones del Caracas | — | 43 | 36 | 8 | 1 | 0 | 0 | 7 | 3 | 0 | 0 | 1 | 222 | 349 | 250 | 599 | 28 | 242 | 7 | 16 | 291 | 83 | — | — | — | — | — | — |
| 2021 | 26 | INTL | Tigres de Aragua | — | 30 | 24 | 5 | 0 | 0 | 0 | 6 | 1 | 0 | 0 | 0 | 208 | 367 | 208 | 575 | 217 | 3 | 20 | 290 | 83 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 17 | ROK MLE | DSL Rangers | — | 262 | 231 | 63 | 8 | 1 | 1 | 22 | 16 | 5 | 8 | 6 | 273 | 349 | 329 | 678 | 56 | 276 | 6 | 8 | 295 | 86 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | AZL Rangers | — | 54 | 54 | 12 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 222 | 222 | 259 | 481 | 37 | 272 | 17 | 0 | 214 | 31 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Hickory Crawdads | — | 83 | 77 | 12 | 3 | 0 | 0 | 3 | 16 | 0 | 0 | 1 | 156 | 188 | 195 | 382 | 39 | 188 | 19 | 4 | 164 | -3 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Hickory Crawdads | — | 397 | 361 | 92 | 11 | 6 | 1 | 22 | 29 | 3 | 2 | 9 | 255 | 303 | 327 | 630 | 72 | 261 | 7 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2016 | 21 | AA MLE | Frisco RoughRiders | — | 122 | 113 | 35 | 4 | 0 | 0 | 6 | 9 | 1 | 3 | 1 | 310 | 350 | 345 | 695 | 35 | 334 | 7 | 5 | 315 | 99 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | Hickory Crawdads | — | 206 | 189 | 57 | 10 | 0 | 4 | 12 | 22 | 1 | 1 | 3 | 302 | 347 | 418 | 765 | 116 | 312 | 11 | 6 | 327 | 107 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Dunedin Blue Jays | — | 246 | 229 | 60 | 12 | 1 | 3 | 7 | 40 | 5 | 8 | 4 | 262 | 299 | 362 | 661 | 100 | 288 | 16 | 3 | 279 | 75 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | New Hampshire Fisher Cats | — | 130 | 125 | 27 | 3 | 0 | 2 | 3 | 20 | 0 | 3 | 2 | 216 | 234 | 288 | 522 | 72 | 237 | 15 | 2 | 218 | 34 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Dunedin Blue Jays | — | 251 | 232 | 67 | 15 | 1 | 2 | 10 | 22 | 3 | 8 | 8 | 289 | 327 | 388 | 714 | 99 | 301 | 9 | 4 | 306 | 93 | — | — | — | — | — | — |
| 2012 | 17 | ROK MLE | DSL Rangers | — | 262 | 231 | 63 | 8 | 1 | 1 | 22 | 16 | 5 | 8 | 6 | 273 | 349 | 329 | 678 | 56 | 286 | 6 | 8 | 295 | 86 | — | — | — | — | — | — |
| 2012 | 17 | ROK RAW | DSL Rangers | — | 262 | 222 | 88 | 13 | 1 | 1 | 31 | 13 | 5 | 8 | 6 | 396 | 481 | 477 | 958 | 81 | 412 | 5 | 12 | 427 | 86 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | AZL Rangers | — | 54 | 54 | 12 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 222 | 222 | 259 | 481 | 37 | 267 | 17 | 0 | 214 | 31 | — | — | — | — | — | — |
| 2013 | 18 | ROK RAW | AZL Rangers | — | 54 | 54 | 17 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 315 | 315 | 370 | 685 | 56 | 354 | 11 | 0 | 306 | 31 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | 2 teams | — | 129 | 120 | 19 | 4 | 0 | 0 | 5 | 25 | 0 | 0 | 1 | 158 | 192 | 192 | 384 | 33 | 200 | 19 | 4 | 164 | -3 | — | — | — | — | — | — |
| 2014 | 19 | A RAW | 2 teams | — | 129 | 119 | 23 | 6 | 0 | 0 | 6 | 16 | 0 | 0 | 1 | 193 | 232 | 244 | 476 | 50 | 223 | 12 | 5 | 211 | -3 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | 2 teams | — | 452 | 410 | 105 | 13 | 6 | 2 | 25 | 33 | 4 | 3 | 11 | 256 | 305 | 332 | 637 | 76 | 272 | 7 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2015 | 20 | A RAW | 2 teams | — | 452 | 395 | 105 | 14 | 5 | 2 | 40 | 23 | 4 | 3 | 11 | 266 | 339 | 342 | 681 | 76 | 276 | 5 | 9 | 303 | 70 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | 3 teams | — | 364 | 335 | 102 | 16 | 0 | 4 | 19 | 34 | 3 | 5 | 4 | 304 | 347 | 388 | 735 | 84 | 326 | 9 | 5 | 323 | 104 | — | — | — | — | — | — |
| 2016 | 21 | A RAW | 3 teams | — | 364 | 327 | 100 | 16 | 0 | 5 | 27 | 28 | 3 | 5 | 4 | 306 | 364 | 401 | 765 | 95 | 319 | 8 | 7 | 339 | 104 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Dunedin Blue Jays | — | 246 | 229 | 60 | 12 | 1 | 3 | 7 | 40 | 5 | 8 | 4 | 262 | 299 | 362 | 661 | 100 | 303 | 16 | 3 | 279 | 75 | — | — | — | — | — | — |
| 2017 | 22 | A+ RAW | Dunedin Blue Jays | — | 246 | 224 | 62 | 11 | 1 | 4 | 12 | 28 | 5 | 8 | 4 | 277 | 328 | 388 | 716 | 112 | 299 | 11 | 5 | 316 | 75 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 3 teams | — | 487 | 457 | 119 | 23 | 1 | 4 | 17 | 54 | 3 | 11 | 10 | 260 | 291 | 341 | 633 | 81 | 287 | 11 | 3 | 276 | 73 | — | — | — | — | — | — |
| 2018 | 23 | A+ RAW | 3 teams | — | 487 | 447 | 121 | 22 | 1 | 4 | 27 | 40 | 3 | 11 | 10 | 271 | 317 | 351 | 668 | 81 | 289 | 8 | 6 | 296 | 73 | — | — | — | — | — | — |
| 2019 | 24 | INTL MLE | Leones del Caracas | — | 106 | 96 | 25 | 1 | 0 | 0 | 7 | 8 | 1 | 2 | 1 | 260 | 317 | 271 | 588 | 10 | 281 | 8 | 7 | — | — | — | — | — | — | — | — |
| 2019 | 24 | INTL RAW | Leones del Caracas | — | 106 | 96 | 25 | 1 | 0 | 0 | 7 | 8 | 1 | 2 | 1 | 260 | 317 | 271 | 588 | 10 | 281 | 8 | 7 | 270 | 69 | — | — | — | — | — | — |
| 2020 | 25 | INTL MLE | Leones del Caracas | — | 43 | 36 | 8 | 1 | 0 | 0 | 7 | 3 | 0 | 0 | 1 | 222 | 349 | 250 | 599 | 28 | 242 | 7 | 16 | — | — | — | — | — | — | — | — |
| 2020 | 25 | INTL RAW | Leones del Caracas | — | 43 | 36 | 8 | 1 | 0 | 0 | 7 | 3 | 0 | 0 | 1 | 222 | 349 | 250 | 599 | 28 | 242 | 7 | 16 | 291 | 83 | — | — | — | — | — | — |
| 2021 | 26 | INTL MLE | Tigres de Aragua | — | 30 | 24 | 5 | 0 | 0 | 0 | 6 | 1 | 0 | 0 | 0 | 208 | 367 | 208 | 575 | 217 | 3 | 20 | — | — | — | — | — | — | — | — | |
| 2021 | 26 | INTL RAW | Tigres de Aragua | — | 30 | 24 | 5 | 0 | 0 | 0 | 6 | 1 | 0 | 0 | 0 | 208 | 367 | 208 | 575 | 217 | 3 | 20 | 290 | 83 | — | — | — | — | — | — | |
| 2012 | 17 | ROK MLE | DSL Rangers | — | 262 | 233 | 63 | 8 | 1 | 1 | 22 | 16 | 5 | 8 | 6 | 270 | 349 | 326 | 675 | 56 | 276 | 6 | 8 | 295 | 86 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | AZL Rangers | — | 54 | 54 | 12 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 222 | 222 | 259 | 481 | 37 | 272 | 17 | 0 | 214 | 31 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | 2 teams | — | 129 | 123 | 19 | 4 | 0 | 0 | 5 | 25 | 0 | 0 | 1 | 154 | 192 | 187 | 379 | 33 | 188 | 19 | 4 | 164 | -3 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | 2 teams | — | 452 | 420 | 105 | 13 | 6 | 2 | 25 | 33 | 4 | 3 | 11 | 250 | 305 | 324 | 629 | 74 | 261 | 7 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | 3 teams | — | 364 | 339 | 102 | 16 | 0 | 4 | 19 | 34 | 3 | 5 | 4 | 301 | 347 | 383 | 731 | 83 | 320 | 9 | 5 | 323 | 104 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Dunedin Blue Jays | — | 246 | 232 | 60 | 12 | 1 | 3 | 7 | 40 | 5 | 8 | 4 | 259 | 299 | 358 | 657 | 99 | 288 | 16 | 3 | 279 | 75 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 3 teams | — | 487 | 464 | 119 | 23 | 1 | 4 | 17 | 54 | 3 | 11 | 10 | 256 | 291 | 336 | 628 | 80 | 279 | 11 | 3 | 276 | 73 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2173 | 1992 | 518 | 80 | 9 | 14 | 115 | 223 | 21 | 37 | 38 | 260 | 307 | 330 | 638 | 70 | 285 | 10 | 5 | 254 | 58 | -108 | -8 | +0 | -23 | +47 | -9.4 | |
| / 162G | — | MLE | — | 650 | 596 | 155 | 24 | 3 | 4 | 34 | 67 | 6 | 11 | 11 | 260 | 306 | 331 | 637 | 70 | 285 | 10 | 5 | 254 | 58 | -32 | -2 | +0 | -7 | +14 | -2.8 | |
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 A+Dunedin Blue Jays · 251 PAwOBA .330 → .306 (−24)K% 6.0% → 8.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 5.98% | ÷0.979 | ×1.420 | — | — | 8.67% |
| BB% (unintentional) /PA | 5.58% | ÷1.011 | ×0.750 | — | ×0.988 | 4.09% |
| HBP% /PA | 1.20% | — | ×0.930 | — | ×0.988 | 1.10% |
| Singles /BIP | 24.53% | ÷1.015 | ×0.920 | ×1.034 | ×0.988 | 22.72% |
| Doubles /BIP | 7.08% | ÷0.977 | ×0.960 | ×1.034 | ×0.988 | 7.10% |
| Triples /BIP | 0.47% | ÷1.005 | ×0.810 | ×1.034 | ×0.988 | 0.39% |
| Home runs /BIP | 0.94% | ÷1.147 | ×0.880 | — | ×0.988 | 0.72% |
Factors used: league row FSL. Park (home-season share, regressed): HR 129, 1B 103, 2B 95, 3B 101, K 96, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.
Result: wOBA .330 → .306; ISO .101 → .095; BABIP .321 → .301. 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 AANew Hampshire Fisher Cats · 130 PAwOBA .230 → .218 (−12)K% 13.1% → 15.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.08% | ÷1.033 | ×1.220 | — | — | 15.44% |
| BB% (unintentional) /PA | 3.08% | ÷0.961 | ×0.700 | — | ×1.012 | 2.27% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×1.012 | 0.00% |
| Singles /BIP | 20.56% | ÷0.995 | ×0.970 | ×1.023 | ×1.012 | 20.76% |
| Doubles /BIP | 2.80% | ÷0.980 | ×0.860 | ×1.023 | ×1.012 | 2.55% |
| Triples /BIP | 0.00% | ÷1.086 | ×0.950 | ×1.023 | ×1.012 | 0.00% |
| Home runs /BIP | 1.87% | ÷0.945 | ×0.780 | — | ×1.012 | 1.56% |
Factors used: league row EL. Park (home-season share, regressed): HR 89, 1B 99, 2B 96, 3B 117, K 107, BB 92 — applied at half strength. Age: age 24 vs a level average of 24.8 → +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 .230 → .218; ISO .073 → .062; BABIP .238 → .237. 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+Dunedin Blue Jays · 246 PAwOBA .308 → .279 (−29)K% 11.4% → 16.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.38% | ÷1.007 | ×1.420 | — | — | 16.05% |
| BB% (unintentional) /PA | 4.47% | ÷1.118 | ×0.750 | — | ×0.998 | 2.99% |
| HBP% /PA | 2.03% | — | ×0.930 | — | ×0.998 | 1.89% |
| Singles /BIP | 23.47% | ÷1.002 | ×0.920 | ×1.041 | ×0.998 | 22.40% |
| Doubles /BIP | 5.61% | ÷0.940 | ×0.960 | ×1.041 | ×0.998 | 5.96% |
| Triples /BIP | 0.51% | ÷1.150 | ×0.810 | ×1.041 | ×0.998 | 0.37% |
| Home runs /BIP | 2.04% | ÷1.265 | ×0.880 | — | ×0.998 | 1.42% |
Factors used: league row FSL. Park (home-season share, regressed): HR 153, 1B 100, 2B 88, 3B 130, K 101, BB 124 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.
Result: wOBA .308 → .279; ISO .112 → .095; BABIP .299 → .288. 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).
2016 AHickory Crawdads · 206 PAwOBA .376 → .327 (−49)K% 7.8% → 10.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.77% | ÷0.990 | ×1.340 | — | — | 10.52% |
| BB% (unintentional) /PA | 8.25% | ÷0.972 | ×0.660 | — | — | 5.61% |
| HBP% /PA | 0.49% | — | ×0.770 | — | — | 0.37% |
| Singles /BIP | 27.38% | ÷1.041 | ×0.920 | ×1.025 | — | 24.79% |
| Doubles /BIP | 6.55% | ÷0.907 | ×0.820 | ×1.025 | — | 6.06% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | ×1.025 | — | 0.00% |
| Home runs /BIP | 2.98% | ÷1.100 | ×0.820 | — | — | 2.22% |
Factors used: league row SAL. Park (home-season share, regressed): HR 120, 1B 108, 2B 81, 3B 80, K 98, BB 94 — 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 ×1.025.
Result: wOBA .376 → .327; ISO .141 → .119; BABIP .345 → .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).
2016 AAFrisco RoughRiders · 122 PAwOBA .324 → .315 (−9)K% 6.6% → 7.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 6.56% | ÷1.034 | ×1.220 | — | — | 7.74% |
| BB% (unintentional) /PA | 6.56% | ÷0.978 | ×0.700 | — | ×1.042 | 4.89% |
| HBP% /PA | 0.82% | — | ×0.870 | — | ×1.042 | 0.74% |
| Singles /BIP | 29.41% | ÷0.982 | ×0.920 | ×1.030 | ×1.042 | 29.59% |
| Doubles /BIP | 4.90% | ÷1.062 | ×0.840 | ×1.030 | ×1.042 | 4.16% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.940 | ×1.030 | ×1.042 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.065 | ×0.800 | — | ×1.042 | 0.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 113, 1B 96, 2B 112, 3B 130, K 107, BB 96 — 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 ×1.030.
Result: wOBA .324 → .315; ISO .045 → .040; BABIP .340 → .334. 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).
2015 AHickory Crawdads · 397 PAwOBA .294 → .271 (−22)K% 5.3% → 7.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 5.29% | ÷0.967 | ×1.340 | — | — | 7.33% |
| BB% (unintentional) /PA | 8.56% | ÷1.042 | ×0.660 | — | ×1.015 | 5.51% |
| HBP% /PA | 0.76% | — | ×0.770 | — | ×1.015 | 0.59% |
| Singles /BIP | 21.95% | ÷0.981 | ×0.920 | ×1.024 | ×1.015 | 21.40% |
| Doubles /BIP | 3.66% | ÷0.971 | ×0.820 | ×1.024 | ×1.015 | 3.21% |
| Triples /BIP | 1.52% | ÷0.910 | ×0.940 | ×1.024 | ×1.015 | 1.64% |
| Home runs /BIP | 0.61% | ÷1.229 | ×0.820 | — | ×1.015 | 0.41% |
Factors used: league row SAL. Park (home-season share, regressed): HR 146, 1B 96, 2B 94, 3B 82, K 93, BB 108 — 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 ×1.024.
Result: wOBA .294 → .271; ISO .080 → .076; BABIP .271 → .261. 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 AHickory Crawdads · 83 PAwOBA .174 → .164 (−10)K% 14.5% → 19.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.46% | ÷1.009 | ×1.340 | — | — | 19.21% |
| BB% (unintentional) /PA | 4.82% | ÷0.949 | ×0.660 | — | ×1.030 | 3.45% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×1.030 | 0.00% |
| Singles /BIP | 14.06% | ÷0.962 | ×0.920 | ×1.050 | ×1.030 | 14.55% |
| Doubles /BIP | 4.69% | ÷0.983 | ×0.820 | ×1.050 | ×1.030 | 4.23% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | ×1.050 | ×1.030 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.154 | ×0.820 | — | ×1.030 | 0.00% |
Factors used: league row SAL. Park (home-season share, regressed): HR 131, 1B 92, 2B 97, 3B 80, K 102, BB 90 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .174 → .164; ISO .039 → .036; BABIP .188 → .188. 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 ROKAZL Rangers · 54 PAwOBA .297 → .214 (−83)K% 11.1% → 16.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.11% | ÷1.000 | ×1.440 | — | — | 16.00% |
| BB% (unintentional) /PA | 0.00% | ÷1.000 | ×0.620 | — | ×1.008 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×1.008 | 0.00% |
| Singles /BIP | 29.17% | ÷1.000 | ×0.820 | ×0.950 | ×1.008 | 22.89% |
| Doubles /BIP | 6.25% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 4.31% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.008 | 0.00% |
Factors used: level-wide ROK 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .297 → .214; ISO .056 → .036; BABIP .354 → .272. 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 — .