Nash Knight
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 26 | AATOR | 415 | .252/.366/.381 | 7 | 4 | 70 | — | .208/.298/.309 |
| 2021 | 28 | AAATOR | 253 | .184/.313/.325 | 7 | 1 | 29 | — | .134/.230/.219 |
| 2022 | 29 | AAA/AAMIN | 318 | .242/.358/.372 | 5 | 0 | 55 | — | .190/.277/.289 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 22 | ROK | GCL Blue Jays | — | 172 | 140 | 29 | 5 | 0 | 2 | 28 | 39 | 0 | 2 | 1 | 207 | 339 | 286 | 625 | 79 | 262 | 23 | 16 | 291 | 26 | — | — | — | — | — | — |
| 2016 | 23 | ROK | Bluefield Blue Jays | — | 110 | 97 | 39 | 7 | 1 | 3 | 12 | 16 | 1 | 1 | 1 | 402 | 473 | 588 | 1.060 | 186 | 462 | 15 | 11 | 466 | 113 | — | — | — | — | — | — |
| 2017 | 24 | A+ | Dunedin Blue Jays | — | 24 | 22 | 5 | 2 | 0 | 0 | 2 | 6 | 0 | 0 | 0 | 227 | 292 | 318 | 610 | 91 | 312 | 25 | 8 | 278 | 32 | — | — | — | — | — | — |
| 2017 | 24 | A | Lansing Lugnuts | — | 376 | 318 | 83 | 17 | 2 | 3 | 51 | 64 | 3 | 4 | 0 | 261 | 368 | 355 | 724 | 94 | 316 | 17 | 14 | 331 | 65 | — | — | — | — | — | — |
| 2018 | 25 | AA | New Hampshire Fisher Cats | — | 33 | 31 | 5 | 0 | 0 | 1 | 2 | 5 | 0 | 0 | 0 | 161 | 212 | 258 | 470 | 97 | 160 | 15 | 6 | 215 | 8 | — | — | — | — | — | — |
| 2018 | 25 | A+ | Dunedin Blue Jays | — | 400 | 350 | 86 | 14 | 1 | 3 | 39 | 67 | 9 | 0 | 3 | 246 | 337 | 317 | 654 | 71 | 294 | 17 | 10 | 303 | 49 | — | — | — | — | — | — |
| 2019 | 26 | AA | New Hampshire Fisher Cats | — | 415 | 349 | 88 | 22 | 1 | 7 | 53 | 86 | 10 | 4 | 8 | 252 | 366 | 381 | 747 | 129 | 314 | 21 | 13 | 340 | 70 | — | — | — | — | — | — |
| 2021 | 28 | AAA | Buffalo Bisons | — | 253 | 212 | 39 | 9 | 0 | 7 | 36 | 76 | 4 | 1 | 0 | 184 | 313 | 325 | 639 | 142 | 246 | 30 | 14 | 296 | 29 | — | — | — | — | — | — |
| 2022 | 29 | AAA | St. Paul Saints | — | 254 | 210 | 50 | 13 | 1 | 4 | 39 | 78 | 5 | 0 | 2 | 238 | 370 | 367 | 737 | 129 | 359 | 31 | 15 | 340 | 61 | — | — | — | — | — | — |
| 2022 | 29 | AA | Wichita Wind Surge | — | 64 | 59 | 15 | 3 | 1 | 1 | 5 | 23 | 0 | 0 | 0 | 254 | 312 | 390 | 702 | 136 | 400 | 36 | 8 | 314 | 33 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 22 | ROK MLE | GCL Blue Jays | — | 172 | 151 | 23 | 4 | 0 | 1 | 17 | 56 | 0 | 2 | 1 | 152 | 238 | 199 | 437 | 46 | 212 | 33 | 10 | 207 | 26 | — | — | — | — | — | — |
| 2016 | 23 | ROK MLE | Bluefield Blue Jays | — | 110 | 102 | 30 | 5 | 1 | 2 | 7 | 23 | 1 | 1 | 1 | 294 | 345 | 422 | 767 | 127 | 361 | 21 | 6 | 335 | 113 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Dunedin Blue Jays | — | 24 | 23 | 5 | 2 | 0 | 0 | 1 | 8 | 0 | 0 | 0 | 217 | 250 | 304 | 554 | 87 | 293 | 33 | 4 | 216 | 32 | — | — | — | — | — | — |
| 2017 | 24 | A MLE | Lansing Lugnuts | — | 376 | 338 | 76 | 14 | 2 | 3 | 31 | 91 | 3 | 4 | 0 | 225 | 296 | 305 | 600 | 80 | 289 | 24 | 8 | 264 | 65 | — | — | — | — | — | — |
| 2018 | 25 | AA MLE | New Hampshire Fisher Cats | — | 33 | 32 | 5 | 0 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 156 | 182 | 250 | 432 | 94 | 153 | 18 | 3 | 180 | 8 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | Dunedin Blue Jays | — | 400 | 363 | 73 | 13 | 1 | 2 | 26 | 97 | 9 | 0 | 3 | 201 | 271 | 259 | 530 | 58 | 262 | 24 | 6 | 241 | 49 | — | — | — | — | — | — |
| 2019 | 26 | AA MLE | New Hampshire Fisher Cats | — | 415 | 366 | 76 | 17 | 1 | 6 | 37 | 104 | 10 | 4 | 8 | 208 | 298 | 309 | 607 | 101 | 265 | 25 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2021 | 28 | AAA MLE | Buffalo Bisons | — | 253 | 224 | 30 | 7 | 0 | 4 | 24 | 94 | 4 | 1 | 0 | 134 | 230 | 219 | 449 | 85 | 203 | 37 | 9 | 211 | 29 | — | — | — | — | — | — |
| 2022 | 29 | AAA MLE | St. Paul Saints | — | 254 | 223 | 43 | 10 | 1 | 3 | 26 | 96 | 5 | 0 | 2 | 193 | 291 | 287 | 578 | 94 | 311 | 38 | 10 | 258 | 61 | — | — | — | — | — | — |
| 2022 | 29 | AA MLE | Wichita Wind Surge | — | 64 | 61 | 11 | 2 | 1 | 1 | 3 | 29 | 0 | 0 | 0 | 180 | 219 | 295 | 514 | 115 | 333 | 45 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | GCL Blue Jays | — | 172 | 151 | 23 | 4 | 0 | 1 | 17 | 56 | 0 | 2 | 1 | 152 | 238 | 199 | 437 | 46 | 224 | 33 | 10 | 207 | 26 | — | — | — | — | — | — |
| 2015 | 22 | ROK RAW | GCL Blue Jays | — | 172 | 140 | 29 | 5 | 0 | 2 | 28 | 39 | 0 | 2 | 1 | 207 | 339 | 286 | 625 | 79 | 262 | 23 | 16 | 291 | 26 | — | — | — | — | — | — |
| 2016 | 23 | ROK MLE | Bluefield Blue Jays | — | 110 | 102 | 30 | 5 | 1 | 2 | 7 | 23 | 1 | 1 | 1 | 294 | 345 | 422 | 767 | 127 | 364 | 21 | 6 | 335 | 113 | — | — | — | — | — | — |
| 2016 | 23 | ROK RAW | Bluefield Blue Jays | — | 110 | 97 | 39 | 7 | 1 | 3 | 12 | 16 | 1 | 1 | 1 | 402 | 473 | 588 | 1.060 | 186 | 462 | 15 | 11 | 466 | 113 | — | — | — | — | — | — |
| 2017 | 24 | A MLE | 2 teams | — | 400 | 361 | 81 | 16 | 2 | 3 | 32 | 99 | 3 | 4 | 0 | 224 | 293 | 305 | 598 | 80 | 299 | 25 | 8 | 261 | 63 | — | — | — | — | — | — |
| 2017 | 24 | A RAW | 2 teams | — | 400 | 340 | 88 | 19 | 2 | 3 | 53 | 70 | 3 | 4 | 0 | 259 | 364 | 353 | 717 | 94 | 316 | 18 | 13 | 327 | 63 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | 2 teams | — | 433 | 394 | 78 | 13 | 1 | 3 | 28 | 103 | 9 | 0 | 3 | 198 | 267 | 259 | 526 | 61 | 259 | 24 | 6 | 236 | 46 | — | — | — | — | — | — |
| 2018 | 25 | A+ RAW | 2 teams | — | 433 | 381 | 91 | 14 | 1 | 4 | 41 | 72 | 9 | 0 | 3 | 239 | 327 | 312 | 639 | 73 | 283 | 17 | 9 | 296 | 46 | — | — | — | — | — | — |
| 2019 | 26 | AA MLE | New Hampshire Fisher Cats | — | 415 | 366 | 76 | 17 | 1 | 6 | 37 | 104 | 10 | 4 | 8 | 208 | 298 | 309 | 607 | 101 | 271 | 25 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2019 | 26 | AA RAW | New Hampshire Fisher Cats | — | 415 | 349 | 88 | 22 | 1 | 7 | 53 | 86 | 10 | 4 | 8 | 252 | 366 | 381 | 747 | 129 | 314 | 21 | 13 | 340 | 70 | — | — | — | — | — | — |
| 2021 | 28 | AAA MLE | Buffalo Bisons | — | 253 | 224 | 30 | 7 | 0 | 4 | 24 | 94 | 4 | 1 | 0 | 134 | 230 | 219 | 449 | 85 | 205 | 37 | 9 | 211 | 29 | — | — | — | — | — | — |
| 2021 | 28 | AAA RAW | Buffalo Bisons | — | 253 | 212 | 39 | 9 | 0 | 7 | 36 | 76 | 4 | 1 | 0 | 184 | 313 | 325 | 639 | 142 | 246 | 30 | 14 | 296 | 29 | — | — | — | — | — | — |
| 2022 | 29 | AAA MLE | 2 teams | — | 318 | 284 | 53 | 12 | 1 | 4 | 29 | 125 | 5 | 0 | 2 | 187 | 274 | 278 | 552 | 92 | 316 | 39 | 9 | 250 | 55 | — | — | — | — | — | — |
| 2022 | 29 | AAA RAW | 2 teams | — | 318 | 269 | 65 | 16 | 2 | 5 | 44 | 101 | 5 | 0 | 2 | 242 | 358 | 372 | 730 | 130 | 368 | 32 | 14 | 335 | 55 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | GCL Blue Jays | — | 172 | 153 | 23 | 4 | 0 | 1 | 17 | 56 | 0 | 2 | 1 | 150 | 238 | 196 | 434 | 46 | 212 | 33 | 10 | 207 | 26 | — | — | — | — | — | — |
| 2016 | 23 | ROK MLE | Bluefield Blue Jays | — | 110 | 101 | 30 | 5 | 1 | 2 | 7 | 23 | 1 | 1 | 1 | 297 | 345 | 426 | 771 | 129 | 361 | 21 | 6 | 335 | 113 | — | — | — | — | — | — |
| 2017 | 24 | A MLE | 2 teams | — | 400 | 362 | 81 | 16 | 2 | 3 | 32 | 99 | 3 | 4 | 0 | 224 | 293 | 304 | 597 | 80 | 289 | 25 | 8 | 261 | 63 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | 2 teams | — | 433 | 393 | 78 | 13 | 1 | 3 | 28 | 103 | 9 | 0 | 3 | 198 | 267 | 260 | 526 | 61 | 254 | 24 | 6 | 236 | 46 | — | — | — | — | — | — |
| 2019 | 26 | AA MLE | New Hampshire Fisher Cats | — | 415 | 365 | 76 | 17 | 1 | 6 | 37 | 104 | 10 | 4 | 8 | 208 | 298 | 310 | 607 | 101 | 265 | 25 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2021 | 28 | AAA MLE | Buffalo Bisons | — | 253 | 223 | 30 | 7 | 0 | 4 | 24 | 94 | 4 | 1 | 0 | 135 | 230 | 220 | 450 | 85 | 203 | 37 | 9 | 211 | 29 | — | — | — | — | — | — |
| 2022 | 29 | AAA MLE | 2 teams | — | 318 | 281 | 53 | 12 | 1 | 4 | 29 | 125 | 5 | 0 | 2 | 189 | 274 | 281 | 555 | 93 | 315 | 39 | 9 | 250 | 55 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2101 | 1882 | 371 | 74 | 6 | 23 | 174 | 604 | 32 | 12 | 15 | 197 | 276 | 279 | 556 | 82 | 275 | 29 | 8 | 250 | 55 | -112 | -4 | +0 | +8 | +46 | -6.4 | |
| / 162G | — | MLE | — | 650 | 582 | 115 | 23 | 2 | 7 | 54 | 187 | 10 | 4 | 5 | 198 | 277 | 280 | 557 | 82 | 276 | 29 | 8 | 250 | 55 | -35 | -1 | +0 | +2 | +14 | -2.0 | |
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.
2022 AAASt. Paul Saints · 254 PAwOBA .332 → .258 (−75)K% 30.7% → 37.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.71% | ÷0.981 | ×1.200 | — | — | 37.55% |
| BB% (unintentional) /PA | 15.35% | ÷1.012 | ×0.690 | — | ×0.972 | 10.18% |
| HBP% /PA | 1.97% | — | ×0.940 | — | ×0.972 | 1.80% |
| Singles /BIP | 24.24% | ÷1.000 | ×0.930 | ×1.015 | ×0.972 | 22.25% |
| Doubles /BIP | 9.85% | ÷1.079 | ×0.830 | ×1.015 | ×0.972 | 7.48% |
| Triples /BIP | 0.76% | ÷1.150 | ×0.970 | ×1.015 | ×0.972 | 0.63% |
| Home runs /BIP | 3.03% | ÷0.881 | ×0.700 | — | ×0.972 | 2.34% |
Factors used: league row International League. Park (home-season share, regressed): HR 76, 1B 100, 2B 116, 3B 130, K 96, BB 102 — 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 ×1.015.
Result: wOBA .332 → .258; ISO .129 → .096; BABIP .359 → .311. 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 AAWichita Wind Surge · 64 PAwOBA .306 → .217 (−89)K% 35.9% → 45.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 35.94% | ÷0.958 | ×1.220 | — | — | 45.78% |
| BB% (unintentional) /PA | 7.81% | ÷0.991 | ×0.700 | — | ×0.948 | 5.23% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.948 | 0.00% |
| Singles /BIP | 27.78% | ÷1.018 | ×0.920 | — | ×0.948 | 23.81% |
| Doubles /BIP | 8.33% | ÷1.001 | ×0.840 | — | ×0.948 | 6.63% |
| Triples /BIP | 2.78% | ÷1.150 | ×0.940 | — | ×0.948 | 2.15% |
| Home runs /BIP | 2.78% | ÷0.985 | ×0.800 | — | ×0.948 | 2.14% |
Factors used: league row TL. Park (home-season share, regressed): HR 97, 1B 104, 2B 100, 3B 130, K 92, BB 98 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).
Result: wOBA .306 → .217; ISO .136 → .092; BABIP .400 → .333. 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).
2021 AAABuffalo Bisons · 253 PAwOBA .290 → .211 (−80)K% 30.0% → 37.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.04% | ÷0.965 | ×1.200 | — | — | 37.34% |
| BB% (unintentional) /PA | 14.23% | ÷1.024 | ×0.690 | — | ×0.982 | 9.41% |
| HBP% /PA | 1.58% | — | ×0.940 | — | ×0.982 | 1.46% |
| Singles /BIP | 16.91% | ÷1.071 | ×0.930 | ×0.986 | ×0.982 | 14.22% |
| Doubles /BIP | 6.62% | ÷0.962 | ×0.830 | ×0.986 | ×0.982 | 5.53% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×0.986 | ×0.982 | 0.00% |
| Home runs /BIP | 5.15% | ÷1.081 | ×0.700 | — | ×0.982 | 3.27% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 114, 2B 92, 3B 130, K 93, BB 105 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.
Result: wOBA .290 → .211; ISO .142 → .095; BABIP .246 → .203. 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).
2019 AANew Hampshire Fisher Cats · 415 PAwOBA .332 → .272 (−60)K% 20.7% → 25.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.72% | ÷1.006 | ×1.220 | — | — | 25.12% |
| BB% (unintentional) /PA | 12.29% | ÷0.956 | ×0.700 | — | ×0.978 | 8.80% |
| HBP% /PA | 2.41% | — | ×0.850 | — | ×0.978 | 2.00% |
| Singles /BIP | 22.05% | ÷1.023 | ×0.970 | ×0.950 | ×0.978 | 19.43% |
| Doubles /BIP | 8.37% | ÷1.064 | ×0.860 | ×0.950 | ×0.978 | 6.28% |
| Triples /BIP | 0.38% | ÷0.900 | ×0.950 | ×0.950 | ×0.978 | 0.37% |
| Home runs /BIP | 2.66% | ÷0.860 | ×0.780 | — | ×0.978 | 2.36% |
Factors used: league row EL. Park (home-season share, regressed): HR 72, 1B 105, 2B 113, 3B 80, K 101, BB 91 — 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 ×0.950.
Result: wOBA .332 → .272; ISO .129 → .108; BABIP .314 → .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).
2018 A+Dunedin Blue Jays · 400 PAwOBA .295 → .241 (−54)K% 16.8% → 24.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.75% | ÷0.979 | ×1.420 | — | — | 24.30% |
| BB% (unintentional) /PA | 9.25% | ÷1.011 | ×0.750 | — | ×0.968 | 6.65% |
| HBP% /PA | 2.25% | — | ×0.930 | — | ×0.968 | 2.03% |
| Singles /BIP | 24.03% | ÷1.015 | ×0.920 | ×1.004 | ×0.968 | 21.17% |
| Doubles /BIP | 4.95% | ÷0.977 | ×0.960 | ×1.004 | ×0.968 | 4.72% |
| Triples /BIP | 0.35% | ÷1.005 | ×0.810 | ×1.004 | ×0.968 | 0.28% |
| Home runs /BIP | 1.06% | ÷1.147 | ×0.880 | — | ×0.968 | 0.79% |
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 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.
Result: wOBA .295 → .241; ISO .071 → .059; BABIP .294 → .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).
2018 AANew Hampshire Fisher Cats · 33 PAwOBA .209 → .180 (−29)K% 15.2% → 17.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.15% | ÷1.033 | ×1.220 | — | — | 17.89% |
| BB% (unintentional) /PA | 6.06% | ÷0.961 | ×0.700 | — | ×0.988 | 4.36% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.988 | 0.00% |
| Singles /BIP | 15.38% | ÷0.995 | ×0.970 | — | ×0.988 | 14.82% |
| Doubles /BIP | 0.00% | ÷0.980 | ×0.860 | — | ×0.988 | 0.00% |
| Triples /BIP | 0.00% | ÷1.086 | ×0.950 | — | ×0.988 | 0.00% |
| Home runs /BIP | 3.85% | ÷0.945 | ×0.780 | — | ×0.988 | 3.14% |
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 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).
Result: wOBA .209 → .180; ISO .097 → .078; BABIP .160 → .153. 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 ALansing Lugnuts · 376 PAwOBA .323 → .264 (−58)K% 17.0% → 24.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.02% | ÷0.960 | ×1.360 | — | — | 24.11% |
| BB% (unintentional) /PA | 13.03% | ÷1.055 | ×0.690 | — | ×0.970 | 8.27% |
| HBP% /PA | 0.80% | — | ×0.780 | — | ×0.970 | 0.60% |
| Singles /BIP | 24.02% | ÷0.988 | ×0.920 | ×1.049 | ×0.970 | 22.75% |
| Doubles /BIP | 6.69% | ÷1.033 | ×0.830 | ×1.049 | ×0.970 | 5.47% |
| Triples /BIP | 0.79% | ÷1.150 | ×0.910 | ×1.049 | ×0.970 | 0.63% |
| Home runs /BIP | 1.18% | ÷0.894 | ×0.800 | — | ×0.970 | 1.03% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 98, 2B 107, 3B 130, K 92, BB 111 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.
Result: wOBA .323 → .264; ISO .094 → .078; BABIP .316 → .289. 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 · 24 PAwOBA .253 → .216 (−37)K% 25.0% → 35.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷1.007 | ×1.420 | — | — | 35.26% |
| BB% (unintentional) /PA | 4.17% | ÷1.118 | ×0.750 | — | ×0.978 | 2.73% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.978 | 0.00% |
| Singles /BIP | 18.75% | ÷1.002 | ×0.920 | — | ×0.978 | 16.84% |
| Doubles /BIP | 12.50% | ÷0.940 | ×0.960 | — | ×0.978 | 12.49% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | — | ×0.978 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.265 | ×0.880 | — | ×0.978 | 0.00% |
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 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).
Result: wOBA .253 → .216; ISO .091 → .084; BABIP .312 → .293. 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).