Kenneth Betancourt
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2021 | 21 | A+/A2 orgs | 109 | .208/.245/.238 | 0 | 1 | 8 | — | .175/.198/.194 |
| 2022 | 22 | AA/A2 orgs | 402 | .272/.340/.372 | 4 | 8 | 68 | — | .247/.292/.330 |
| 2023 | 23 | A+/A2 orgs | 385 | .288/.342/.356 | 3 | 15 | 69 | — | .261/.300/.320 |
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) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK | DSL Dodgers 1 | — | 242 | 208 | 53 | 9 | 3 | 1 | 26 | 27 | 1 | 19 | 6 | 255 | 340 | 341 | 682 | 87 | 286 | 11 | 11 | 304 | 30 | — | — | — | — | — | — |
| 2018 | 18 | ROK | Ogden Raptors | — | 164 | 153 | 45 | 5 | 5 | 0 | 8 | 29 | 1 | 9 | 3 | 294 | 333 | 392 | 725 | 98 | 360 | 18 | 5 | 320 | 49 | — | — | — | — | — | — |
| 2019 | 19 | ROK | AZL Dodgers Mota | — | 150 | 137 | 30 | 6 | 2 | 0 | 10 | 29 | 1 | 5 | 2 | 219 | 277 | 292 | 569 | 73 | 275 | 19 | 7 | 257 | 4 | — | — | — | — | — | — |
| 2021 | 21 | A+ | Great Lakes Loons | — | 53 | 50 | 11 | 0 | 0 | 0 | 3 | 15 | 0 | 1 | 1 | 220 | 264 | 220 | 484 | 314 | 28 | 6 | 227 | 9 | — | — | — | — | — | — | |
| 2021 | 21 | A | Rancho Cucamonga Quakes | — | 56 | 51 | 10 | 3 | 0 | 0 | 2 | 10 | 0 | 0 | 1 | 196 | 226 | 255 | 481 | 59 | 233 | 18 | 4 | 207 | 7 | — | — | — | — | — | — |
| 2022 | 22 | AA | Tulsa Drillers | — | 87 | 83 | 21 | 3 | 0 | 0 | 3 | 19 | 0 | 1 | 1 | 253 | 279 | 289 | 568 | 36 | 328 | 22 | 3 | 256 | 47 | — | — | — | — | — | — |
| 2022 | 22 | A | Rancho Cucamonga Quakes | — | 315 | 277 | 77 | 19 | 1 | 4 | 32 | 47 | 2 | 7 | 1 | 278 | 357 | 397 | 754 | 119 | 319 | 15 | 10 | 337 | 74 | — | — | — | — | — | — |
| 2023 | 23 | A+ | Great Lakes Loons | — | 136 | 127 | 32 | 4 | 0 | 1 | 8 | 24 | 0 | 6 | 1 | 252 | 296 | 307 | 603 | 55 | 304 | 18 | 6 | 274 | 47 | — | — | — | — | — | — |
| 2023 | 23 | A | Rancho Cucamonga Quakes | — | 249 | 224 | 69 | 11 | 0 | 2 | 19 | 33 | 2 | 9 | 1 | 308 | 367 | 384 | 751 | 76 | 351 | 13 | 8 | 336 | 81 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK MLE | DSL Dodgers 1 | — | 242 | 216 | 39 | 6 | 2 | 1 | 18 | 33 | 1 | 19 | 6 | 181 | 247 | 241 | 488 | 60 | 198 | 14 | 7 | 213 | 30 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | Ogden Raptors | — | 164 | 156 | 37 | 4 | 4 | 0 | 5 | 42 | 1 | 9 | 3 | 237 | 265 | 314 | 580 | 77 | 304 | 26 | 3 | 241 | 49 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | AZL Dodgers Mota | — | 150 | 141 | 21 | 4 | 1 | 0 | 6 | 42 | 1 | 5 | 2 | 149 | 189 | 191 | 381 | 43 | 209 | 28 | 4 | 174 | 4 | — | — | — | — | — | — |
| 2021 | 21 | A+ MLE | Great Lakes Loons | — | 53 | 51 | 9 | 0 | 0 | 0 | 2 | 20 | 0 | 1 | 1 | 176 | 208 | 176 | 384 | 300 | 38 | 4 | 182 | 9 | — | — | — | — | — | — | |
| 2021 | 21 | A MLE | Rancho Cucamonga Quakes | — | 56 | 52 | 9 | 2 | 0 | 0 | 1 | 13 | 0 | 0 | 1 | 173 | 189 | 212 | 400 | 38 | 206 | 23 | 2 | 178 | 7 | — | — | — | — | — | — |
| 2022 | 22 | AA MLE | Tulsa Drillers | — | 87 | 84 | 21 | 3 | 0 | 0 | 2 | 24 | 0 | 1 | 1 | 250 | 267 | 286 | 553 | 36 | 340 | 28 | 2 | 238 | 47 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | Rancho Cucamonga Quakes | — | 315 | 289 | 71 | 17 | 1 | 3 | 20 | 69 | 2 | 7 | 1 | 246 | 299 | 343 | 642 | 97 | 300 | 22 | 6 | 277 | 74 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | Great Lakes Loons | — | 136 | 130 | 30 | 3 | 0 | 1 | 5 | 30 | 0 | 6 | 1 | 231 | 259 | 277 | 536 | 46 | 294 | 22 | 4 | 238 | 47 | — | — | — | — | — | — |
| 2023 | 23 | A MLE | Rancho Cucamonga Quakes | — | 249 | 230 | 64 | 9 | 0 | 2 | 13 | 46 | 2 | 9 | 1 | 278 | 322 | 343 | 666 | 65 | 329 | 18 | 5 | 288 | 81 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Dodgers 1 | — | 242 | 216 | 39 | 6 | 2 | 1 | 18 | 33 | 1 | 19 | 6 | 181 | 247 | 241 | 488 | 60 | 207 | 14 | 7 | 213 | 30 | — | — | — | — | — | — |
| 2017 | 17 | ROK RAW | DSL Dodgers 1 | — | 242 | 208 | 53 | 9 | 3 | 1 | 26 | 27 | 1 | 19 | 6 | 255 | 340 | 341 | 682 | 87 | 286 | 11 | 11 | 304 | 30 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | Ogden Raptors | — | 164 | 156 | 37 | 4 | 4 | 0 | 5 | 42 | 1 | 9 | 3 | 237 | 265 | 314 | 580 | 77 | 322 | 26 | 3 | 241 | 49 | — | — | — | — | — | — |
| 2018 | 18 | ROK RAW | Ogden Raptors | — | 164 | 153 | 45 | 5 | 5 | 0 | 8 | 29 | 1 | 9 | 3 | 294 | 333 | 392 | 725 | 98 | 360 | 18 | 5 | 320 | 49 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | AZL Dodgers Mota | — | 150 | 141 | 21 | 4 | 1 | 0 | 6 | 42 | 1 | 5 | 2 | 149 | 189 | 191 | 381 | 43 | 210 | 28 | 4 | 174 | 4 | — | — | — | — | — | — |
| 2019 | 19 | ROK RAW | AZL Dodgers Mota | — | 150 | 137 | 30 | 6 | 2 | 0 | 10 | 29 | 1 | 5 | 2 | 219 | 277 | 292 | 569 | 73 | 275 | 19 | 7 | 257 | 4 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | 2 teams | — | 109 | 102 | 18 | 2 | 0 | 0 | 4 | 33 | 0 | 1 | 2 | 176 | 208 | 196 | 404 | 20 | 254 | 30 | 4 | 180 | 8 | — | — | — | — | — | — |
| 2021 | 21 | A RAW | 2 teams | — | 109 | 101 | 21 | 3 | 0 | 0 | 5 | 25 | 0 | 1 | 2 | 208 | 245 | 238 | 483 | 30 | 269 | 23 | 5 | 217 | 8 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | 2 teams | — | 402 | 372 | 92 | 20 | 1 | 3 | 23 | 93 | 2 | 8 | 2 | 247 | 295 | 331 | 625 | 83 | 319 | 23 | 6 | 269 | 68 | — | — | — | — | — | — |
| 2022 | 22 | A RAW | 2 teams | — | 402 | 360 | 98 | 22 | 1 | 4 | 35 | 66 | 2 | 8 | 2 | 272 | 340 | 372 | 712 | 100 | 321 | 16 | 9 | 319 | 68 | — | — | — | — | — | — |
| 2023 | 23 | A MLE | 2 teams | — | 385 | 360 | 93 | 12 | 0 | 2 | 18 | 76 | 2 | 15 | 2 | 258 | 297 | 308 | 606 | 50 | 320 | 20 | 5 | 270 | 69 | — | — | — | — | — | — |
| 2023 | 23 | A RAW | 2 teams | — | 385 | 351 | 101 | 15 | 0 | 3 | 27 | 57 | 2 | 15 | 2 | 288 | 342 | 356 | 698 | 68 | 334 | 15 | 7 | 314 | 69 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Dodgers 1 | — | 242 | 221 | 39 | 6 | 2 | 1 | 18 | 33 | 1 | 19 | 6 | 176 | 247 | 235 | 482 | 59 | 198 | 14 | 7 | 213 | 30 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | Ogden Raptors | — | 164 | 157 | 37 | 4 | 4 | 0 | 5 | 42 | 1 | 9 | 3 | 236 | 265 | 312 | 578 | 76 | 304 | 26 | 3 | 241 | 49 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | AZL Dodgers Mota | — | 150 | 142 | 21 | 4 | 1 | 0 | 6 | 42 | 1 | 5 | 2 | 148 | 189 | 190 | 379 | 42 | 209 | 28 | 4 | 174 | 4 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | 2 teams | — | 109 | 104 | 18 | 2 | 0 | 0 | 4 | 33 | 0 | 1 | 2 | 173 | 208 | 192 | 400 | 19 | 252 | 30 | 4 | 180 | 8 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | 2 teams | — | 402 | 374 | 92 | 20 | 1 | 3 | 23 | 93 | 2 | 8 | 2 | 246 | 295 | 329 | 624 | 83 | 309 | 23 | 6 | 269 | 68 | — | — | — | — | — | — |
| 2023 | 23 | A MLE | 2 teams | — | 385 | 362 | 93 | 12 | 0 | 2 | 18 | 76 | 2 | 15 | 2 | 257 | 297 | 307 | 604 | 50 | 317 | 20 | 5 | 270 | 69 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1452 | 1347 | 300 | 48 | 8 | 6 | 74 | 319 | 7 | 57 | 17 | 223 | 267 | 284 | 550 | 61 | 285 | 22 | 5 | 240 | 49 | -89 | +5 | +0 | +16 | +31 | -3.8 | |
| / 162G | — | MLE | — | 650 | 603 | 135 | 21 | 4 | 3 | 33 | 143 | 3 | 26 | 8 | 224 | 268 | 287 | 555 | 63 | 286 | 22 | 5 | 240 | 49 | -40 | +2 | +0 | +7 | +14 | -1.7 | |
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.
2023 ARancho Cucamonga Quakes · 249 PAwOBA .330 → .288 (−42)K% 13.3% → 18.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.25% | ÷0.973 | ×1.360 | — | — | 18.52% |
| BB% (unintentional) /PA | 7.63% | ÷0.976 | ×0.690 | — | ×0.990 | 5.34% |
| HBP% /PA | 0.80% | — | ×0.780 | — | ×0.990 | 0.62% |
| Singles /BIP | 29.32% | ÷0.955 | ×0.920 | ×1.006 | ×0.990 | 28.15% |
| Doubles /BIP | 5.76% | ÷0.990 | ×0.830 | ×1.006 | ×0.990 | 4.81% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | ×1.006 | ×0.990 | 0.00% |
| Home runs /BIP | 1.05% | ÷1.025 | ×0.800 | — | ×0.990 | 0.81% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 91, 2B 98, 3B 80, K 95, BB 95 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.
Result: wOBA .330 → .288; ISO .076 → .061; BABIP .351 → .329. 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).
2023 A+Great Lakes Loons · 136 PAwOBA .264 → .238 (−26)K% 17.6% → 22.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.65% | ÷1.004 | ×1.270 | — | — | 22.32% |
| BB% (unintentional) /PA | 5.15% | ÷0.992 | ×0.710 | — | ×0.998 | 3.68% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×0.998 | 0.00% |
| Singles /BIP | 26.21% | ÷0.975 | ×0.920 | ×1.048 | ×0.998 | 25.86% |
| Doubles /BIP | 3.88% | ÷1.011 | ×0.810 | ×1.048 | ×0.998 | 3.25% |
| Triples /BIP | 0.00% | ÷0.997 | ×0.850 | ×1.048 | ×0.998 | 0.00% |
| Home runs /BIP | 0.97% | ÷0.951 | ×0.800 | — | ×0.998 | 0.81% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 90, 1B 95, 2B 102, 3B 99, K 101, BB 98 — 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 ×1.048.
Result: wOBA .264 → .238; ISO .055 → .045; BABIP .304 → .294. 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 ARancho Cucamonga Quakes · 315 PAwOBA .331 → .277 (−54)K% 14.9% → 21.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.92% | ÷0.930 | ×1.360 | — | — | 21.82% |
| BB% (unintentional) /PA | 10.16% | ÷1.072 | ×0.690 | — | — | 6.54% |
| HBP% /PA | 0.63% | — | ×0.780 | — | — | 0.50% |
| Singles /BIP | 23.04% | ÷0.981 | ×0.920 | ×1.025 | — | 22.15% |
| Doubles /BIP | 8.26% | ÷0.923 | ×0.830 | ×1.025 | — | 7.61% |
| Triples /BIP | 0.43% | ÷1.150 | ×0.910 | ×1.025 | — | 0.35% |
| Home runs /BIP | 1.74% | ÷1.247 | ×0.800 | — | — | 1.12% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 96, 2B 85, 3B 130, K 86, BB 114 — 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 .331 → .277; ISO .119 → .094; BABIP .319 → .300. 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 AATulsa Drillers · 87 PAwOBA .249 → .238 (−11)K% 21.8% → 27.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.84% | ÷0.971 | ×1.220 | — | — | 27.44% |
| BB% (unintentional) /PA | 3.45% | ÷0.975 | ×0.700 | — | ×1.042 | 2.58% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×1.042 | 0.00% |
| Singles /BIP | 28.12% | ÷0.953 | ×0.920 | ×1.050 | ×1.042 | 29.70% |
| Doubles /BIP | 4.69% | ÷1.006 | ×0.840 | ×1.050 | ×1.042 | 4.28% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.940 | ×1.050 | ×1.042 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.993 | ×0.800 | — | ×1.042 | 0.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 99, 1B 91, 2B 101, 3B 130, K 94, BB 95 — 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 ×1.050.
Result: wOBA .249 → .238; ISO .036 → .031; BABIP .328 → .340. 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 ARancho Cucamonga Quakes · 56 PAwOBA .209 → .178 (−31)K% 17.9% → 23.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.86% | ÷1.015 | ×1.360 | — | — | 23.92% |
| BB% (unintentional) /PA | 3.57% | ÷0.985 | ×0.690 | — | ×1.015 | 2.54% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.015 | 0.00% |
| Singles /BIP | 17.07% | ÷0.965 | ×0.920 | ×0.993 | ×1.015 | 16.39% |
| Doubles /BIP | 7.32% | ÷1.166 | ×0.830 | ×0.993 | ×1.015 | 5.25% |
| Triples /BIP | 0.00% | ÷0.960 | ×0.910 | ×0.993 | ×1.015 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.965 | ×0.800 | — | ×1.015 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 93, 2B 133, 3B 92, K 103, BB 97 — 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 ×0.993.
Result: wOBA .209 → .178; ISO .059 → .042; BABIP .233 → .206. 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 A+Great Lakes Loons · 53 PAwOBA .222 → .182 (−40)K% 28.3% → 37.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.30% | ÷1.013 | ×1.350 | — | — | 37.71% |
| BB% (unintentional) /PA | 5.66% | ÷1.042 | ×0.710 | — | ×1.027 | 3.96% |
| HBP% /PA | 0.00% | — | ×0.810 | — | ×1.027 | 0.00% |
| Singles /BIP | 31.43% | ÷0.978 | ×0.910 | — | ×1.027 | 30.05% |
| Doubles /BIP | 0.00% | ÷0.952 | ×0.830 | — | ×1.027 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.820 | — | ×1.027 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.930 | ×0.830 | — | ×1.027 | 0.00% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 96, 2B 90, 3B 130, K 103, BB 108 — 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).
Result: wOBA .222 → .182; ISO .000 → .000; BABIP .314 → .300. 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 ROKAZL Dodgers Mota · 150 PAwOBA .252 → .174 (−78)K% 19.3% → 27.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.33% | ÷1.000 | ×1.440 | — | — | 27.84% |
| BB% (unintentional) /PA | 6.67% | ÷1.000 | ×0.620 | — | ×1.008 | 4.16% |
| HBP% /PA | 0.67% | — | ×0.720 | — | ×1.008 | 0.48% |
| Singles /BIP | 20.37% | ÷1.000 | ×0.820 | ×0.950 | ×1.008 | 15.99% |
| Doubles /BIP | 5.56% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 3.83% |
| Triples /BIP | 1.85% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 1.28% |
| 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 .252 → .174; ISO .073 → .047; BABIP .275 → .209. 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 ROKOgden Raptors · 164 PAwOBA .314 → .241 (−73)K% 17.7% → 25.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.68% | ÷1.000 | ×1.440 | — | — | 25.46% |
| BB% (unintentional) /PA | 4.88% | ÷1.000 | ×0.610 | — | ×1.022 | 3.04% |
| HBP% /PA | 0.61% | — | ×0.720 | — | ×1.022 | 0.45% |
| Singles /BIP | 28.23% | ÷1.000 | ×0.820 | ×1.036 | ×1.022 | 24.53% |
| Doubles /BIP | 4.03% | ÷1.000 | ×0.720 | ×1.036 | ×1.022 | 3.08% |
| Triples /BIP | 4.03% | ÷1.000 | ×0.720 | ×1.036 | ×1.022 | 3.08% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.750 | — | ×1.022 | 0.00% |
Factors used: league row PIO. 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.
Result: wOBA .314 → .241; ISO .098 → .070; BABIP .360 → .304. 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).