K.C. Hobson
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 25 | AATOR | 159 | .163/.253/.277 | 3 | 0 | 10 | — | .136/.196/.218 |
| 2017 | 26 | AA/INTL2 orgs | 267 | .244/.321/.416 | 11 | 1 | 71 | — | .205/.244/.362 |
| 2018 | 27 | AASF | 58 | .220/.328/.460 | 3 | 0 | 62 | — | .151/.224/.302 |
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) | |||||||||||||||||||||||||||||||
| 2010 | 19 | A | Lansing Lugnuts | — | 98 | 92 | 24 | 4 | 1 | 2 | 4 | 17 | 0 | 0 | 0 | 261 | 292 | 391 | 683 | 130 | 293 | 17 | 4 | 297 | 53 | — | — | — | — | — | — |
| 2010 | 19 | ROK | GCL Blue Jays | — | 136 | 129 | 36 | 5 | 0 | 4 | 7 | 17 | 0 | 1 | 5 | 279 | 316 | 411 | 727 | 132 | 296 | 12 | 5 | 324 | 40 | — | — | — | — | — | — |
| 2011 | 20 | A | Lansing Lugnuts | — | 547 | 480 | 120 | 24 | 2 | 4 | 61 | 73 | 3 | 1 | 0 | 250 | 338 | 333 | 672 | 83 | 286 | 13 | 11 | 308 | 53 | — | — | — | — | — | — |
| 2012 | 21 | A | Lansing Lugnuts | — | 556 | 490 | 135 | 43 | 2 | 10 | 56 | 85 | 1 | 2 | 1 | 276 | 351 | 433 | 784 | 157 | 309 | 15 | 10 | 344 | 69 | — | — | — | — | — | — |
| 2012 | 21 | INTL | Canberra Cavalry | — | 90 | 85 | 23 | 7 | 0 | 3 | 4 | 16 | 0 | 0 | 1 | 271 | 303 | 459 | 762 | 188 | 299 | 18 | 4 | 331 | 110 | — | — | — | — | — | — |
| 2013 | 22 | A+ | Dunedin Blue Jays | — | 431 | 396 | 85 | 22 | 0 | 19 | 26 | 69 | 0 | 2 | 0 | 215 | 263 | 414 | 677 | 199 | 208 | 16 | 6 | 292 | 40 | — | — | — | — | — | — |
| 2014 | 23 | AA | New Hampshire Fisher Cats | — | 192 | 177 | 38 | 8 | 0 | 5 | 15 | 41 | 0 | 1 | 1 | 215 | 276 | 345 | 621 | 130 | 252 | 21 | 8 | 280 | 36 | — | — | — | — | — | — |
| 2014 | 23 | A+ | Dunedin Blue Jays | — | 262 | 227 | 54 | 13 | 0 | 7 | 28 | 30 | 1 | 2 | 0 | 238 | 324 | 388 | 712 | 150 | 240 | 11 | 11 | 314 | 58 | — | — | — | — | — | — |
| 2015 | 24 | AA | New Hampshire Fisher Cats | — | 540 | 499 | 120 | 19 | 1 | 14 | 34 | 106 | 1 | 1 | 0 | 240 | 290 | 367 | 657 | 126 | 276 | 20 | 6 | 292 | 42 | — | — | — | — | — | — |
| 2016 | 25 | AA | New Hampshire Fisher Cats | — | 159 | 141 | 23 | 5 | 1 | 3 | 16 | 33 | 1 | 0 | 0 | 163 | 253 | 277 | 530 | 113 | 189 | 21 | 10 | 244 | 10 | — | — | — | — | — | — |
| 2017 | 26 | AA | Richmond Flying Squirrels | — | 223 | 203 | 50 | 5 | 1 | 11 | 17 | 55 | 1 | 1 | 0 | 246 | 308 | 443 | 751 | 197 | 281 | 25 | 8 | 329 | 65 | — | — | — | — | — | — |
| 2017 | 26 | INTL | Gigantes del Cibao | — | 44 | 35 | 8 | 1 | 0 | 0 | 9 | 8 | 0 | 0 | 0 | 229 | 386 | 257 | 644 | 29 | 296 | 18 | 20 | 316 | 100 | — | — | — | — | — | — |
| 2018 | 27 | AA | Richmond Flying Squirrels | — | 58 | 50 | 11 | 3 | 0 | 3 | 7 | 23 | 1 | 0 | 1 | 220 | 328 | 460 | 788 | 240 | 333 | 40 | 12 | 349 | 62 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2010 | 19 | A MLE | Lansing Lugnuts | — | 98 | 93 | 21 | 3 | 1 | 2 | 3 | 23 | 0 | 0 | 0 | 226 | 250 | 344 | 594 | 118 | 259 | 23 | 3 | 246 | 53 | — | — | — | — | — | — |
| 2010 | 19 | ROK MLE | GCL Blue Jays | — | 136 | 132 | 26 | 3 | 0 | 3 | 4 | 24 | 0 | 1 | 5 | 197 | 221 | 288 | 508 | 91 | 226 | 18 | 3 | 227 | 40 | — | — | — | — | — | — |
| 2011 | 20 | A MLE | Lansing Lugnuts | — | 547 | 499 | 105 | 18 | 2 | 3 | 42 | 103 | 3 | 1 | 0 | 210 | 276 | 273 | 548 | 62 | 253 | 19 | 8 | 247 | 53 | — | — | — | — | — | — |
| 2012 | 21 | A MLE | Lansing Lugnuts | — | 556 | 512 | 113 | 34 | 2 | 8 | 34 | 122 | 1 | 2 | 1 | 221 | 271 | 342 | 612 | 121 | 262 | 22 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2013 | 22 | A+ MLE | Dunedin Blue Jays | — | 431 | 406 | 70 | 19 | 0 | 14 | 16 | 97 | 0 | 2 | 0 | 172 | 204 | 323 | 526 | 150 | 179 | 23 | 4 | 228 | 40 | — | — | — | — | — | — |
| 2014 | 23 | AA MLE | New Hampshire Fisher Cats | — | 192 | 182 | 34 | 7 | 0 | 4 | 10 | 51 | 0 | 1 | 1 | 187 | 229 | 291 | 520 | 104 | 233 | 27 | 5 | 222 | 36 | — | — | — | — | — | — |
| 2014 | 23 | A+ MLE | Dunedin Blue Jays | — | 262 | 234 | 46 | 11 | 0 | 5 | 21 | 42 | 1 | 2 | 0 | 197 | 266 | 308 | 573 | 111 | 207 | 16 | 8 | 254 | 58 | — | — | — | — | — | — |
| 2015 | 24 | AA MLE | New Hampshire Fisher Cats | — | 540 | 511 | 102 | 14 | 1 | 9 | 22 | 135 | 1 | 1 | 0 | 200 | 234 | 284 | 518 | 84 | 247 | 25 | 4 | 230 | 42 | — | — | — | — | — | — |
| 2016 | 25 | AA MLE | New Hampshire Fisher Cats | — | 159 | 147 | 20 | 4 | 1 | 2 | 10 | 41 | 1 | 0 | 0 | 136 | 196 | 218 | 414 | 82 | 169 | 26 | 6 | 183 | 10 | — | — | — | — | — | — |
| 2017 | 26 | AA MLE | Richmond Flying Squirrels | — | 223 | 210 | 43 | 4 | 1 | 9 | 10 | 71 | 1 | 1 | 0 | 205 | 244 | 362 | 606 | 157 | 250 | 32 | 4 | 265 | 65 | — | — | — | — | — | — |
| 2018 | 27 | AA MLE | Richmond Flying Squirrels | — | 58 | 53 | 8 | 2 | 0 | 2 | 4 | 29 | 1 | 0 | 1 | 151 | 224 | 302 | 526 | 151 | 301 | 50 | 7 | 260 | 62 | — | — | — | — | — | — |
| 2010 | 19 | ROK MLE | 2 teams | — | 234 | 225 | 47 | 6 | 1 | 5 | 7 | 48 | 0 | 1 | 5 | 209 | 233 | 311 | 544 | 102 | 241 | 21 | 3 | 235 | 45 | — | — | — | — | — | — |
| 2010 | 19 | ROK RAW | 2 teams | — | 234 | 221 | 60 | 9 | 1 | 6 | 11 | 34 | 0 | 1 | 5 | 271 | 306 | 403 | 709 | 131 | 295 | 15 | 5 | 313 | 45 | — | — | — | — | — | — |
| 2011 | 20 | A MLE | Lansing Lugnuts | — | 547 | 499 | 105 | 18 | 2 | 3 | 42 | 103 | 3 | 1 | 0 | 210 | 276 | 273 | 548 | 62 | 258 | 19 | 8 | 247 | 53 | — | — | — | — | — | — |
| 2011 | 20 | A RAW | Lansing Lugnuts | — | 547 | 480 | 120 | 24 | 2 | 4 | 61 | 73 | 3 | 1 | 0 | 250 | 338 | 333 | 672 | 83 | 286 | 13 | 11 | 308 | 53 | — | — | — | — | — | — |
| 2012 | 21 | A MLE | 2 teams | — | 646 | 595 | 131 | 39 | 2 | 10 | 40 | 142 | 1 | 2 | 2 | 220 | 270 | 343 | 613 | 123 | 267 | 22 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2012 | 21 | A RAW | 2 teams | — | 646 | 575 | 158 | 50 | 2 | 13 | 60 | 101 | 1 | 2 | 2 | 275 | 344 | 437 | 781 | 162 | 308 | 16 | 9 | 342 | 69 | — | — | — | — | — | — |
| 2013 | 22 | A+ MLE | Dunedin Blue Jays | — | 431 | 406 | 70 | 19 | 0 | 14 | 16 | 97 | 0 | 2 | 0 | 172 | 204 | 323 | 526 | 150 | 184 | 23 | 4 | 228 | 40 | — | — | — | — | — | — |
| 2013 | 22 | A+ RAW | Dunedin Blue Jays | — | 431 | 396 | 85 | 22 | 0 | 19 | 26 | 69 | 0 | 2 | 0 | 215 | 263 | 414 | 677 | 199 | 208 | 16 | 6 | 292 | 40 | — | — | — | — | — | — |
| 2014 | 23 | A+ MLE | 2 teams | — | 454 | 416 | 79 | 18 | 0 | 8 | 31 | 93 | 1 | 3 | 1 | 190 | 248 | 291 | 539 | 101 | 221 | 20 | 7 | 240 | 49 | — | — | — | — | — | — |
| 2014 | 23 | A+ RAW | 2 teams | — | 454 | 404 | 92 | 21 | 0 | 12 | 43 | 71 | 1 | 3 | 1 | 228 | 304 | 369 | 672 | 141 | 245 | 16 | 9 | 300 | 49 | — | — | — | — | — | — |
| 2015 | 24 | AA MLE | New Hampshire Fisher Cats | — | 540 | 511 | 102 | 14 | 1 | 9 | 22 | 135 | 1 | 1 | 0 | 200 | 234 | 284 | 518 | 84 | 250 | 25 | 4 | 230 | 42 | — | — | — | — | — | — |
| 2015 | 24 | AA RAW | New Hampshire Fisher Cats | — | 540 | 499 | 120 | 19 | 1 | 14 | 34 | 106 | 1 | 1 | 0 | 240 | 290 | 367 | 657 | 126 | 276 | 20 | 6 | 292 | 42 | — | — | — | — | — | — |
| 2016 | 25 | AA MLE | New Hampshire Fisher Cats | — | 159 | 147 | 20 | 4 | 1 | 2 | 10 | 41 | 1 | 0 | 0 | 136 | 196 | 218 | 414 | 82 | 171 | 26 | 6 | 183 | 10 | — | — | — | — | — | — |
| 2016 | 25 | AA RAW | New Hampshire Fisher Cats | — | 159 | 141 | 23 | 5 | 1 | 3 | 16 | 33 | 1 | 0 | 0 | 163 | 253 | 277 | 530 | 113 | 189 | 21 | 10 | 244 | 10 | — | — | — | — | — | — |
| 2017 | 26 | AA MLE | 2 teams | — | 267 | 251 | 50 | 4 | 1 | 11 | 13 | 85 | 1 | 1 | 0 | 199 | 242 | 355 | 596 | 155 | 248 | 32 | 5 | 265 | 65 | — | — | — | — | — | — |
| 2017 | 26 | AA RAW | 2 teams | — | 267 | 238 | 58 | 6 | 1 | 11 | 26 | 63 | 1 | 1 | 0 | 244 | 321 | 416 | 737 | 172 | 283 | 24 | 10 | 327 | 65 | — | — | — | — | — | — |
| 2018 | 27 | AA MLE | Richmond Flying Squirrels | — | 58 | 53 | 8 | 2 | 0 | 2 | 4 | 29 | 1 | 0 | 1 | 151 | 224 | 302 | 526 | 151 | 273 | 50 | 7 | 260 | 62 | — | — | — | — | — | — |
| 2018 | 27 | AA RAW | Richmond Flying Squirrels | — | 58 | 50 | 11 | 3 | 0 | 3 | 7 | 23 | 1 | 0 | 1 | 220 | 328 | 460 | 788 | 240 | 333 | 40 | 12 | 349 | 62 | — | — | — | — | — | — |
| 2010 | 19 | ROK MLE | 2 teams | — | 234 | 225 | 47 | 6 | 1 | 5 | 7 | 48 | 0 | 1 | 5 | 209 | 233 | 311 | 544 | 102 | 240 | 21 | 3 | 235 | 45 | — | — | — | — | — | — |
| 2011 | 20 | A MLE | Lansing Lugnuts | — | 547 | 497 | 105 | 18 | 2 | 3 | 42 | 103 | 3 | 1 | 0 | 211 | 276 | 274 | 549 | 62 | 253 | 19 | 8 | 247 | 53 | — | — | — | — | — | — |
| 2012 | 21 | A MLE | 2 teams | — | 646 | 600 | 131 | 39 | 2 | 10 | 40 | 142 | 1 | 2 | 2 | 218 | 270 | 340 | 610 | 122 | 262 | 22 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2013 | 22 | A+ MLE | Dunedin Blue Jays | — | 431 | 412 | 70 | 19 | 0 | 14 | 16 | 97 | 0 | 2 | 0 | 170 | 204 | 318 | 522 | 148 | 179 | 23 | 4 | 228 | 40 | — | — | — | — | — | — |
| 2014 | 23 | A+ MLE | 2 teams | — | 454 | 419 | 79 | 18 | 0 | 8 | 31 | 93 | 1 | 3 | 1 | 189 | 248 | 289 | 537 | 100 | 218 | 20 | 7 | 240 | 49 | — | — | — | — | — | — |
| 2015 | 24 | AA MLE | New Hampshire Fisher Cats | — | 540 | 512 | 102 | 14 | 1 | 9 | 22 | 135 | 1 | 1 | 0 | 199 | 234 | 283 | 517 | 84 | 247 | 25 | 4 | 230 | 42 | — | — | — | — | — | — |
| 2016 | 25 | AA MLE | New Hampshire Fisher Cats | — | 159 | 147 | 20 | 4 | 1 | 2 | 10 | 41 | 1 | 0 | 0 | 136 | 196 | 218 | 414 | 82 | 169 | 26 | 6 | 183 | 10 | — | — | — | — | — | — |
| 2017 | 26 | AA MLE | 2 teams | — | 267 | 251 | 50 | 4 | 1 | 11 | 13 | 85 | 1 | 1 | 0 | 199 | 242 | 355 | 596 | 155 | 250 | 32 | 5 | 265 | 65 | — | — | — | — | — | — |
| 2018 | 27 | AA MLE | Richmond Flying Squirrels | — | 58 | 53 | 8 | 2 | 0 | 2 | 4 | 29 | 1 | 0 | 1 | 151 | 224 | 302 | 526 | 151 | 301 | 50 | 7 | 260 | 62 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 3336 | 3103 | 612 | 124 | 8 | 64 | 185 | 773 | 9 | 11 | 9 | 197 | 244 | 304 | 549 | 107 | 238 | 23 | 6 | 243 | 51 | -196 | -1 | +0 | -60 | +72 | -18.8 | |
| / 162G | — | MLE | — | 650 | 605 | 119 | 24 | 2 | 12 | 36 | 151 | 2 | 2 | 2 | 197 | 244 | 302 | 547 | 106 | 238 | 23 | 6 | 243 | 51 | -38 | -0 | +0 | -12 | +14 | -3.7 | |
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 AARichmond Flying Squirrels · 58 PAwOBA .333 → .260 (−73)K% 39.7% → 49.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 39.66% | ÷0.975 | ×1.220 | — | — | 49.60% |
| BB% (unintentional) /PA | 10.34% | ÷0.983 | ×0.700 | — | ×0.968 | 7.13% |
| HBP% /PA | 1.72% | — | ×0.850 | — | ×0.968 | 1.42% |
| Singles /BIP | 18.52% | ÷0.995 | ×0.970 | — | ×0.968 | 17.48% |
| Doubles /BIP | 11.11% | ÷0.949 | ×0.860 | — | ×0.968 | 9.75% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | — | ×0.968 | 0.00% |
| Home runs /BIP | 11.11% | ÷0.869 | ×0.780 | — | ×0.968 | 9.65% |
Factors used: league row EL. Park (home-season share, regressed): HR 74, 1B 99, 2B 90, 3B 130, K 95, BB 97 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).
Result: wOBA .333 → .260; ISO .240 → .188; BABIP .333 → .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).
2017 AARichmond Flying Squirrels · 223 PAwOBA .319 → .265 (−55)K% 24.7% → 31.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.66% | ÷0.948 | ×1.220 | — | — | 31.74% |
| BB% (unintentional) /PA | 6.73% | ÷0.974 | ×0.700 | — | ×0.978 | 4.73% |
| HBP% /PA | 0.45% | — | ×0.850 | — | ×0.978 | 0.37% |
| Singles /BIP | 22.30% | ÷1.004 | ×0.970 | ×0.971 | ×0.978 | 20.45% |
| Doubles /BIP | 3.38% | ÷1.096 | ×0.860 | ×0.971 | ×0.978 | 2.52% |
| Triples /BIP | 0.68% | ÷0.900 | ×0.950 | ×0.971 | ×0.978 | 0.68% |
| Home runs /BIP | 7.43% | ÷0.848 | ×0.780 | — | ×0.978 | 6.69% |
Factors used: league row EL. Park (home-season share, regressed): HR 70, 1B 101, 2B 119, 3B 80, K 90, BB 95 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.971.
Result: wOBA .319 → .265; ISO .197 → .166; BABIP .281 → .250. 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 AANew Hampshire Fisher Cats · 159 PAwOBA .237 → .183 (−54)K% 20.8% → 26.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.75% | ÷0.969 | ×1.220 | — | — | 26.13% |
| BB% (unintentional) /PA | 9.43% | ÷1.079 | ×0.700 | — | ×0.988 | 6.04% |
| HBP% /PA | 0.63% | — | ×0.850 | — | ×0.988 | 0.53% |
| Singles /BIP | 12.96% | ÷0.995 | ×0.970 | ×0.971 | ×0.988 | 12.13% |
| Doubles /BIP | 4.63% | ÷1.000 | ×0.860 | ×0.971 | ×0.988 | 3.82% |
| Triples /BIP | 0.93% | ÷1.031 | ×0.950 | ×0.971 | ×0.988 | 0.82% |
| Home runs /BIP | 2.78% | ÷1.292 | ×0.780 | — | ×0.988 | 1.66% |
Factors used: league row EL. Park (home-season share, regressed): HR 158, 1B 99, 2B 100, 3B 106, K 94, BB 116 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.971.
Result: wOBA .237 → .183; ISO .113 → .079; BABIP .189 → .169. 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 AANew Hampshire Fisher Cats · 540 PAwOBA .285 → .230 (−55)K% 19.6% → 25.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.63% | ÷0.960 | ×1.220 | — | — | 24.95% |
| BB% (unintentional) /PA | 5.93% | ÷1.026 | ×0.700 | — | ×0.998 | 4.03% |
| HBP% /PA | 0.19% | — | ×0.850 | — | ×0.998 | 0.16% |
| Singles /BIP | 21.88% | ÷0.996 | ×0.970 | ×0.963 | ×0.998 | 20.47% |
| Doubles /BIP | 4.83% | ÷1.064 | ×0.860 | ×0.963 | ×0.998 | 3.76% |
| Triples /BIP | 0.25% | ÷1.150 | ×0.950 | ×0.963 | ×0.998 | 0.20% |
| Home runs /BIP | 3.56% | ÷1.130 | ×0.780 | — | ×0.998 | 2.45% |
Factors used: league row EL. Park (home-season share, regressed): HR 126, 1B 99, 2B 113, 3B 130, K 92, BB 105 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.
Result: wOBA .285 → .230; ISO .126 → .088; BABIP .276 → .247. 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 A+Dunedin Blue Jays · 262 PAwOBA .313 → .254 (−59)K% 11.5% → 16.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.45% | ÷1.016 | ×1.420 | — | — | 16.00% |
| BB% (unintentional) /PA | 10.69% | ÷0.979 | ×0.750 | — | ×0.988 | 8.09% |
| HBP% /PA | 0.38% | — | ×0.930 | — | ×0.988 | 0.35% |
| Singles /BIP | 17.26% | ÷0.982 | ×0.920 | ×0.959 | ×0.988 | 15.31% |
| Doubles /BIP | 6.60% | ÷1.083 | ×0.960 | ×0.959 | ×0.988 | 5.54% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | ×0.959 | ×0.988 | 0.00% |
| Home runs /BIP | 3.55% | ÷1.309 | ×0.880 | — | ×0.988 | 2.36% |
Factors used: league row FSL. Park (home-season share, regressed): HR 162, 1B 96, 2B 117, 3B 80, K 103, BB 96 — 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 ×0.959.
Result: wOBA .313 → .254; ISO .150 → .110; BABIP .240 → .207. 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 AANew Hampshire Fisher Cats · 192 PAwOBA .273 → .222 (−51)K% 21.4% → 26.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.35% | ÷0.976 | ×1.220 | — | — | 26.68% |
| BB% (unintentional) /PA | 7.81% | ÷1.062 | ×0.700 | — | ×1.012 | 5.21% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×1.012 | 0.00% |
| Singles /BIP | 18.38% | ÷1.012 | ×0.970 | ×0.975 | ×1.012 | 17.38% |
| Doubles /BIP | 5.88% | ÷0.952 | ×0.860 | ×0.975 | ×1.012 | 5.24% |
| Triples /BIP | 0.00% | ÷0.921 | ×0.950 | ×0.975 | ×1.012 | 0.00% |
| Home runs /BIP | 3.68% | ÷1.066 | ×0.780 | — | ×1.012 | 2.72% |
Factors used: league row EL. Park (home-season share, regressed): HR 113, 1B 102, 2B 90, 3B 84, K 95, BB 112 — 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 ×0.975.
Result: wOBA .273 → .222; ISO .130 → .099; BABIP .252 → .233. 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 A+Dunedin Blue Jays · 431 PAwOBA .286 → .228 (−58)K% 16.0% → 22.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.01% | ÷1.007 | ×1.420 | — | — | 22.57% |
| BB% (unintentional) /PA | 5.10% | ÷1.032 | ×0.750 | — | ×0.998 | 3.70% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.998 | 0.00% |
| Singles /BIP | 13.46% | ÷1.025 | ×0.920 | ×0.959 | ×0.998 | 11.56% |
| Doubles /BIP | 6.73% | ÷1.023 | ×0.960 | ×0.959 | ×0.998 | 6.04% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | ×0.959 | ×0.998 | 0.00% |
| Home runs /BIP | 5.81% | ÷1.160 | ×0.880 | — | ×0.998 | 4.40% |
Factors used: league row FSL. Park (home-season share, regressed): HR 132, 1B 105, 2B 105, 3B 80, K 101, BB 106 — 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 ×0.959.
Result: wOBA .286 → .228; ISO .199 → .154; BABIP .208 → .179. 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 ALansing Lugnuts · 556 PAwOBA .339 → .270 (−69)K% 15.3% → 22.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.29% | ÷0.946 | ×1.360 | — | — | 21.99% |
| BB% (unintentional) /PA | 9.53% | ÷1.057 | ×0.690 | — | — | 6.22% |
| HBP% /PA | 0.18% | — | ×0.780 | — | — | 0.14% |
| Singles /BIP | 19.75% | ÷1.039 | ×0.920 | ×0.990 | — | 17.32% |
| Doubles /BIP | 10.62% | ÷1.028 | ×0.830 | ×0.990 | — | 8.49% |
| Triples /BIP | 0.49% | ÷1.051 | ×0.910 | ×0.990 | — | 0.42% |
| Home runs /BIP | 2.47% | ÷0.936 | ×0.800 | — | — | 2.11% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 108, 2B 106, 3B 110, K 89, BB 111 — 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 ×0.990.
Result: wOBA .339 → .270; ISO .157 → .127; BABIP .309 → .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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .