Jake Skole
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 23 | AA/A+2 orgs | 397 | .229/.317/.327 | 6 | 19 | 45 | — | .194/.261/.266 |
| 2016 | 24 | A+Tampa Yankees | 238 | .202/.280/.324 | 6 | 6 | 26 | — | .151/.212/.251 |
| 2022 | 30 | INTLMelbourne Aces | 108 | .284/.358/.421 | 2 | 5 | 118 | — |
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 | 18 | ROK | AZL Rangers | — | 33 | 28 | 8 | 2 | 0 | 0 | 5 | 5 | 0 | 3 | 0 | 286 | 394 | 357 | 751 | 71 | 348 | 15 | 15 | 348 | 57 | — | — | — | — | — | — |
| 2011 | 19 | A | Hickory Crawdads | — | 501 | 424 | 112 | 14 | 6 | 9 | 65 | 138 | 6 | 21 | 14 | 264 | 370 | 389 | 759 | 125 | 365 | 28 | 13 | 342 | 65 | — | — | — | — | — | — |
| 2012 | 20 | A+ | Myrtle Beach Pelicans | — | 268 | 227 | 42 | 8 | 0 | 3 | 31 | 71 | 3 | 2 | 2 | 185 | 290 | 260 | 550 | 75 | 250 | 26 | 12 | 255 | 22 | — | — | — | — | — | — |
| 2013 | 21 | A+ | Myrtle Beach Pelicans | — | 437 | 361 | 76 | 22 | 1 | 3 | 69 | 94 | 2 | 8 | 4 | 211 | 340 | 302 | 642 | 91 | 273 | 22 | 16 | 300 | 42 | — | — | — | — | — | — |
| 2014 | 22 | AA | Frisco RoughRiders | — | 386 | 342 | 74 | 16 | 2 | 6 | 40 | 103 | 0 | 6 | 2 | 216 | 298 | 327 | 626 | 111 | 289 | 27 | 10 | 283 | 44 | — | — | — | — | — | — |
| 2015 | 23 | AA | Trenton Thunder | — | 239 | 211 | 49 | 9 | 1 | 6 | 25 | 64 | 2 | 10 | 2 | 232 | 319 | 370 | 689 | 137 | 305 | 27 | 10 | 311 | 50 | — | — | — | — | — | — |
| 2015 | 23 | A+ | Tampa Yankees | — | 158 | 138 | 31 | 5 | 0 | 0 | 16 | 26 | 2 | 9 | 1 | 225 | 314 | 261 | 575 | 36 | 274 | 16 | 10 | 270 | 38 | — | — | — | — | — | — |
| 2016 | 24 | A+ | Tampa Yankees | — | 238 | 213 | 43 | 6 | 1 | 6 | 21 | 72 | 2 | 6 | 1 | 202 | 280 | 324 | 604 | 122 | 272 | 30 | 9 | 273 | 26 | — | — | — | — | — | — |
| 2022 | 30 | INTL | Melbourne Aces | — | 108 | 95 | 27 | 5 | 1 | 2 | 11 | 32 | 0 | 5 | 0 | 284 | 358 | 421 | 780 | 137 | 397 | 30 | 10 | 343 | 118 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2010 | 18 | ROK MLE | AZL Rangers | — | 33 | 30 | 6 | 1 | 0 | 0 | 3 | 7 | 0 | 3 | 0 | 200 | 273 | 233 | 506 | 33 | 283 | 21 | 9 | 253 | 57 | — | — | — | — | — | — |
| 2011 | 19 | A MLE | Hickory Crawdads | — | 501 | 446 | 95 | 12 | 6 | 6 | 43 | 190 | 6 | 21 | 14 | 213 | 291 | 307 | 598 | 94 | 338 | 38 | 9 | 264 | 65 | — | — | — | — | — | — |
| 2012 | 20 | A+ MLE | Myrtle Beach Pelicans | — | 268 | 241 | 38 | 7 | 0 | 2 | 18 | 99 | 3 | 2 | 2 | 158 | 225 | 212 | 437 | 54 | 240 | 37 | 7 | 200 | 22 | — | — | — | — | — | — |
| 2013 | 21 | A+ MLE | Myrtle Beach Pelicans | — | 437 | 385 | 66 | 18 | 1 | 3 | 45 | 129 | 2 | 8 | 4 | 171 | 262 | 247 | 508 | 75 | 238 | 30 | 10 | 230 | 42 | — | — | — | — | — | — |
| 2014 | 22 | AA MLE | Frisco RoughRiders | — | 386 | 355 | 68 | 16 | 2 | 4 | 27 | 128 | 0 | 6 | 2 | 192 | 249 | 282 | 530 | 90 | 279 | 33 | 7 | 233 | 44 | — | — | — | — | — | — |
| 2015 | 23 | AA MLE | Trenton Thunder | — | 239 | 219 | 42 | 7 | 1 | 4 | 17 | 82 | 2 | 10 | 2 | 192 | 256 | 288 | 544 | 96 | 288 | 34 | 7 | 242 | 50 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | Tampa Yankees | — | 158 | 142 | 28 | 5 | 0 | 0 | 12 | 36 | 2 | 9 | 1 | 197 | 269 | 232 | 502 | 35 | 252 | 23 | 8 | 225 | 38 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | Tampa Yankees | — | 238 | 219 | 33 | 5 | 1 | 5 | 15 | 104 | 2 | 6 | 1 | 151 | 212 | 251 | 463 | 100 | 246 | 44 | 6 | 206 | 26 | — | — | — | — | — | — |
| 2010 | 18 | ROK MLE | AZL Rangers | — | 33 | 30 | 6 | 1 | 0 | 0 | 3 | 7 | 0 | 3 | 0 | 200 | 273 | 233 | 506 | 33 | 261 | 21 | 9 | 253 | 57 | — | — | — | — | — | — |
| 2010 | 18 | ROK RAW | AZL Rangers | — | 33 | 28 | 8 | 2 | 0 | 0 | 5 | 5 | 0 | 3 | 0 | 286 | 394 | 357 | 751 | 71 | 348 | 15 | 15 | 348 | 57 | — | — | — | — | — | — |
| 2011 | 19 | A MLE | Hickory Crawdads | — | 501 | 446 | 95 | 12 | 6 | 6 | 43 | 190 | 6 | 21 | 14 | 213 | 291 | 307 | 598 | 94 | 349 | 38 | 9 | 264 | 65 | — | — | — | — | — | — |
| 2011 | 19 | A RAW | Hickory Crawdads | — | 501 | 424 | 112 | 14 | 6 | 9 | 65 | 138 | 6 | 21 | 14 | 264 | 370 | 389 | 759 | 125 | 365 | 28 | 13 | 342 | 65 | — | — | — | — | — | — |
| 2012 | 20 | A+ MLE | Myrtle Beach Pelicans | — | 268 | 241 | 38 | 7 | 0 | 2 | 18 | 99 | 3 | 2 | 2 | 158 | 225 | 212 | 437 | 54 | 252 | 37 | 7 | 200 | 22 | — | — | — | — | — | — |
| 2012 | 20 | A+ RAW | Myrtle Beach Pelicans | — | 268 | 227 | 42 | 8 | 0 | 3 | 31 | 71 | 3 | 2 | 2 | 185 | 290 | 260 | 550 | 75 | 250 | 26 | 12 | 255 | 22 | — | — | — | — | — | — |
| 2013 | 21 | A+ MLE | Myrtle Beach Pelicans | — | 437 | 385 | 66 | 18 | 1 | 3 | 45 | 129 | 2 | 8 | 4 | 171 | 262 | 247 | 508 | 75 | 246 | 30 | 10 | 230 | 42 | — | — | — | — | — | — |
| 2013 | 21 | A+ RAW | Myrtle Beach Pelicans | — | 437 | 361 | 76 | 22 | 1 | 3 | 69 | 94 | 2 | 8 | 4 | 211 | 340 | 302 | 642 | 91 | 273 | 22 | 16 | 300 | 42 | — | — | — | — | — | — |
| 2014 | 22 | AA MLE | Frisco RoughRiders | — | 386 | 355 | 68 | 16 | 2 | 4 | 27 | 128 | 0 | 6 | 2 | 192 | 249 | 282 | 530 | 90 | 284 | 33 | 7 | 233 | 44 | — | — | — | — | — | — |
| 2014 | 22 | AA RAW | Frisco RoughRiders | — | 386 | 342 | 74 | 16 | 2 | 6 | 40 | 103 | 0 | 6 | 2 | 216 | 298 | 327 | 626 | 111 | 289 | 27 | 10 | 283 | 44 | — | — | — | — | — | — |
| 2015 | 23 | AA MLE | 2 teams | — | 397 | 361 | 70 | 12 | 1 | 4 | 29 | 119 | 4 | 19 | 3 | 194 | 261 | 266 | 527 | 72 | 276 | 30 | 7 | 235 | 45 | — | — | — | — | — | — |
| 2015 | 23 | AA RAW | 2 teams | — | 397 | 349 | 80 | 14 | 1 | 6 | 41 | 90 | 4 | 19 | 3 | 229 | 317 | 327 | 644 | 97 | 291 | 23 | 10 | 295 | 45 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | Tampa Yankees | — | 238 | 219 | 33 | 5 | 1 | 5 | 15 | 104 | 2 | 6 | 1 | 151 | 212 | 251 | 463 | 100 | 252 | 44 | 6 | 206 | 26 | — | — | — | — | — | — |
| 2016 | 24 | A+ RAW | Tampa Yankees | — | 238 | 213 | 43 | 6 | 1 | 6 | 21 | 72 | 2 | 6 | 1 | 202 | 280 | 324 | 604 | 122 | 272 | 30 | 9 | 273 | 26 | — | — | — | — | — | — |
| 2022 | 30 | INTL MLE | Melbourne Aces | — | 108 | 95 | 27 | 5 | 1 | 2 | 11 | 32 | 0 | 5 | 0 | 284 | 358 | 421 | 780 | 137 | 397 | 30 | 10 | — | — | — | — | — | — | — | — |
| 2022 | 30 | INTL RAW | Melbourne Aces | — | 108 | 95 | 27 | 5 | 1 | 2 | 11 | 32 | 0 | 5 | 0 | 284 | 358 | 421 | 780 | 137 | 397 | 30 | 10 | 343 | 118 | — | — | — | — | — | — |
| 2010 | 18 | ROK MLE | AZL Rangers | — | 33 | 30 | 6 | 1 | 0 | 0 | 3 | 7 | 0 | 3 | 0 | 200 | 273 | 233 | 506 | 33 | 283 | 21 | 9 | 253 | 57 | — | — | — | — | — | — |
| 2011 | 19 | A MLE | Hickory Crawdads | — | 501 | 447 | 95 | 12 | 6 | 6 | 43 | 190 | 6 | 21 | 14 | 213 | 291 | 306 | 597 | 94 | 338 | 38 | 9 | 264 | 65 | — | — | — | — | — | — |
| 2012 | 20 | A+ MLE | Myrtle Beach Pelicans | — | 268 | 245 | 38 | 7 | 0 | 2 | 18 | 99 | 3 | 2 | 2 | 155 | 225 | 208 | 433 | 53 | 240 | 37 | 7 | 200 | 22 | — | — | — | — | — | — |
| 2013 | 21 | A+ MLE | Myrtle Beach Pelicans | — | 437 | 387 | 66 | 18 | 1 | 3 | 45 | 129 | 2 | 8 | 4 | 171 | 262 | 245 | 507 | 75 | 238 | 30 | 10 | 230 | 42 | — | — | — | — | — | — |
| 2014 | 22 | AA MLE | Frisco RoughRiders | — | 386 | 356 | 68 | 16 | 2 | 4 | 27 | 128 | 0 | 6 | 2 | 191 | 249 | 281 | 530 | 90 | 279 | 33 | 7 | 233 | 44 | — | — | — | — | — | — |
| 2015 | 23 | AA MLE | 2 teams | — | 397 | 361 | 70 | 12 | 1 | 4 | 29 | 119 | 4 | 19 | 3 | 194 | 261 | 266 | 527 | 72 | 274 | 30 | 7 | 235 | 45 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | Tampa Yankees | — | 238 | 219 | 33 | 5 | 1 | 5 | 15 | 104 | 2 | 6 | 1 | 151 | 212 | 251 | 463 | 100 | 246 | 44 | 6 | 206 | 26 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2368 | 2132 | 403 | 76 | 12 | 26 | 191 | 808 | 17 | 70 | 26 | 189 | 261 | 273 | 534 | 83 | 287 | 34 | 8 | 223 | 37 | -178 | +4 | +0 | +8 | +51 | -11.7 | |
| / 162G | — | MLE | — | 650 | 585 | 110 | 21 | 3 | 7 | 52 | 222 | 5 | 19 | 7 | 188 | 260 | 270 | 530 | 82 | 285 | 34 | 8 | 223 | 37 | -49 | +1 | +0 | +2 | +14 | -3.2 | |
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.
2016 A+Tampa Yankees · 238 PAwOBA .266 → .206 (−60)K% 30.3% → 43.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.25% | ÷0.988 | ×1.420 | — | — | 43.46% |
| BB% (unintentional) /PA | 8.40% | ÷1.021 | ×0.750 | — | ×0.988 | 6.10% |
| HBP% /PA | 0.84% | — | ×0.930 | — | ×0.988 | 0.77% |
| Singles /BIP | 21.28% | ÷1.022 | ×0.920 | ×1.003 | ×0.988 | 18.98% |
| Doubles /BIP | 4.26% | ÷0.953 | ×0.960 | ×1.003 | ×0.988 | 4.25% |
| Triples /BIP | 0.71% | ÷1.032 | ×0.810 | ×1.003 | ×0.988 | 0.55% |
| Home runs /BIP | 4.26% | ÷0.862 | ×0.880 | — | ×0.988 | 4.29% |
Factors used: league row FSL. Park (home-season share, regressed): HR 72, 1B 104, 2B 91, 3B 106, K 98, BB 104 — 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 ×1.003.
Result: wOBA .266 → .206; ISO .122 → .101; BABIP .272 → .246. 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 AATrenton Thunder · 239 PAwOBA .303 → .242 (−61)K% 26.8% → 34.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.78% | ÷0.950 | ×1.220 | — | — | 34.38% |
| BB% (unintentional) /PA | 10.46% | ÷1.067 | ×0.700 | — | ×1.027 | 7.04% |
| HBP% /PA | 0.84% | — | ×0.850 | — | ×1.027 | 0.73% |
| Singles /BIP | 22.45% | ÷0.977 | ×0.970 | ×0.964 | ×1.027 | 22.06% |
| Doubles /BIP | 6.12% | ÷0.978 | ×0.860 | ×0.964 | ×1.027 | 5.33% |
| Triples /BIP | 0.68% | ÷1.150 | ×0.950 | ×0.964 | ×1.027 | 0.56% |
| Home runs /BIP | 4.08% | ÷1.153 | ×0.780 | — | ×1.027 | 2.84% |
Factors used: league row EL. Park (home-season share, regressed): HR 131, 1B 95, 2B 96, 3B 130, K 90, BB 114 — 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 ×0.964.
Result: wOBA .303 → .242; ISO .137 → .098; BABIP .305 → .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).
2015 A+Tampa Yankees · 158 PAwOBA .265 → .225 (−40)K% 16.5% → 23.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.46% | ÷1.016 | ×1.420 | — | — | 23.00% |
| BB% (unintentional) /PA | 10.13% | ÷1.015 | ×0.750 | — | ×0.998 | 7.47% |
| HBP% /PA | 1.27% | — | ×0.930 | — | ×0.998 | 1.17% |
| Singles /BIP | 23.21% | ÷1.046 | ×0.920 | ×1.038 | ×0.998 | 21.16% |
| Doubles /BIP | 4.46% | ÷1.044 | ×0.960 | ×1.038 | ×0.998 | 4.25% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | ×1.038 | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.832 | ×0.880 | — | ×0.998 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 66, 1B 109, 2B 109, 3B 130, K 103, BB 103 — 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 ×1.038.
Result: wOBA .265 → .225; ISO .036 → .033; BABIP .274 → .252. 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 AAFrisco RoughRiders · 386 PAwOBA .277 → .233 (−43)K% 26.7% → 33.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.68% | ÷0.983 | ×1.220 | — | — | 33.11% |
| BB% (unintentional) /PA | 10.10% | ÷1.055 | ×0.700 | — | ×1.042 | 6.99% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×1.042 | 0.00% |
| Singles /BIP | 20.92% | ÷1.030 | ×0.920 | ×1.026 | ×1.042 | 19.99% |
| Doubles /BIP | 6.69% | ÷0.890 | ×0.840 | ×1.026 | ×1.042 | 6.76% |
| Triples /BIP | 0.84% | ÷0.921 | ×0.940 | ×1.026 | ×1.042 | 0.91% |
| Home runs /BIP | 2.51% | ÷1.322 | ×0.800 | — | ×1.042 | 1.58% |
Factors used: league row TL. Park (home-season share, regressed): HR 164, 1B 106, 2B 78, 3B 84, K 97, BB 111 — 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 ×1.026.
Result: wOBA .277 → .233; ISO .111 → .090; BABIP .289 → .279. 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+Myrtle Beach Pelicans · 437 PAwOBA .295 → .230 (−64)K% 21.5% → 29.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.51% | ÷1.031 | ×1.420 | — | — | 29.62% |
| BB% (unintentional) /PA | 15.79% | ÷1.000 | ×0.630 | — | ×1.027 | 10.22% |
| HBP% /PA | 0.46% | — | ×0.860 | — | ×1.027 | 0.40% |
| Singles /BIP | 18.73% | ÷1.072 | ×0.940 | ×0.994 | ×1.027 | 16.76% |
| Doubles /BIP | 8.24% | ÷1.039 | ×0.830 | ×0.994 | ×1.027 | 6.72% |
| Triples /BIP | 0.37% | ÷1.085 | ×0.800 | ×0.994 | ×1.027 | 0.28% |
| Home runs /BIP | 1.12% | ÷0.847 | ×0.900 | — | ×1.027 | 1.23% |
Factors used: league row CAR. Park (home-season share, regressed): HR 69, 1B 114, 2B 108, 3B 117, K 106, BB 100 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.
Result: wOBA .295 → .230; ISO .091 → .079; BABIP .273 → .238. 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+Myrtle Beach Pelicans · 268 PAwOBA .252 → .200 (−52)K% 26.5% → 37.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.49% | ÷1.013 | ×1.420 | — | — | 37.15% |
| BB% (unintentional) /PA | 11.57% | ÷1.102 | ×0.630 | — | ×1.042 | 6.89% |
| HBP% /PA | 1.12% | — | ×0.860 | — | ×1.042 | 1.00% |
| Singles /BIP | 19.87% | ÷1.013 | ×0.940 | ×1.017 | ×1.042 | 19.54% |
| Doubles /BIP | 5.13% | ÷0.981 | ×0.830 | ×1.017 | ×1.042 | 4.60% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.800 | ×1.017 | ×1.042 | 0.00% |
| Home runs /BIP | 1.92% | ÷1.163 | ×0.900 | — | ×1.042 | 1.55% |
Factors used: league row CAR. Park (home-season share, regressed): HR 133, 1B 103, 2B 96, 3B 130, K 103, BB 120 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.
Result: wOBA .252 → .200; ISO .075 → .060; BABIP .250 → .240. 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 AHickory Crawdads · 501 PAwOBA .336 → .264 (−72)K% 27.5% → 37.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.54% | ÷0.974 | ×1.340 | — | — | 37.91% |
| BB% (unintentional) /PA | 12.77% | ÷1.037 | ×0.660 | — | ×1.045 | 8.49% |
| HBP% /PA | 1.20% | — | ×0.770 | — | ×1.045 | 0.96% |
| Singles /BIP | 29.02% | ÷1.034 | ×0.920 | ×1.000 | ×1.045 | 26.97% |
| Doubles /BIP | 4.90% | ÷0.921 | ×0.820 | ×1.000 | ×1.045 | 4.55% |
| Triples /BIP | 2.10% | ÷0.946 | ×0.940 | ×1.000 | ×1.045 | 2.18% |
| Home runs /BIP | 3.15% | ÷1.247 | ×0.820 | — | ×1.045 | 2.16% |
Factors used: league row SAL. Park (home-season share, regressed): HR 149, 1B 107, 2B 84, 3B 89, K 95, BB 107 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.
Result: wOBA .336 → .264; ISO .125 → .096; BABIP .365 → .338. 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 ROKAZL Rangers · 33 PAwOBA .340 → .253 (−87)K% 15.2% → 21.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.15% | ÷1.000 | ×1.440 | — | — | 21.82% |
| BB% (unintentional) /PA | 15.15% | ÷1.000 | ×0.620 | — | ×1.022 | 9.61% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×1.022 | 0.00% |
| Singles /BIP | 26.09% | ÷1.000 | ×0.820 | — | ×1.022 | 21.87% |
| Doubles /BIP | 8.70% | ÷1.000 | ×0.720 | — | ×1.022 | 6.40% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×1.022 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.022 | 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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).
Result: wOBA .340 → .253; ISO .071 → .052; BABIP .348 → .283. 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 — .