Luis Yanel Diaz
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2021 | 21 | A/ROK2 orgs | 207 | .261/.319/.516 | 10 | 6 | 27 | — | .149/.198/.292 |
| 2022 | 22 | A+/A2 orgs | 443 | .254/.336/.447 | 17 | 31 | 58 | — | .196/.256/.322 |
| 2023 | 23 | AA/A+LAD | 407 | .240/.307/.376 | 9 | 25 | 53 | — | .205/.260/.308 |
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 2 | — | 233 | 212 | 50 | 12 | 5 | 2 | 15 | 64 | 5 | 7 | 5 | 236 | 302 | 368 | 670 | 132 | 327 | 27 | 6 | 300 | 13 | — | — | — | — | — | — |
| 2018 | 18 | ROK | DSL Dodgers Robinson | — | 225 | 204 | 42 | 4 | 1 | 5 | 20 | 64 | 0 | 15 | 2 | 206 | 277 | 309 | 586 | 103 | 272 | 28 | 9 | 267 | -4 | — | — | — | — | — | — |
| 2019 | 19 | ROK | AZL Dodgers Mota | — | 199 | 192 | 50 | 6 | 8 | 6 | 5 | 63 | 0 | 9 | 3 | 260 | 279 | 469 | 748 | 208 | 352 | 32 | 3 | 320 | 15 | — | — | — | — | — | — |
| 2021 | 21 | A | Rancho Cucamonga Quakes | — | 123 | 112 | 27 | 3 | 4 | 6 | 7 | 53 | 2 | 2 | 1 | 241 | 293 | 500 | 793 | 259 | 396 | 43 | 6 | 340 | 36 | — | — | — | — | — | — |
| 2021 | 21 | ROK | ACL Dodgers | — | 84 | 76 | 22 | 5 | 1 | 4 | 6 | 37 | 2 | 4 | 3 | 289 | 357 | 539 | 897 | 250 | 514 | 44 | 7 | 391 | 14 | — | — | — | — | — | — |
| 2022 | 22 | A+ | Great Lakes Loons | — | 119 | 107 | 21 | 4 | 2 | 6 | 10 | 32 | 1 | 4 | 3 | 196 | 271 | 439 | 710 | 243 | 217 | 27 | 8 | 308 | 46 | — | — | — | — | — | — |
| 2022 | 22 | A | Rancho Cucamonga Quakes | — | 324 | 282 | 78 | 14 | 1 | 11 | 33 | 85 | 4 | 27 | 5 | 277 | 361 | 450 | 811 | 174 | 351 | 26 | 10 | 356 | 63 | — | — | — | — | — | — |
| 2023 | 23 | AA | Tulsa Drillers | — | 120 | 107 | 19 | 1 | 0 | 3 | 11 | 37 | 2 | 6 | 2 | 178 | 267 | 271 | 538 | 93 | 239 | 31 | 9 | 252 | 24 | — | — | — | — | — | — |
| 2023 | 23 | A+ | Great Lakes Loons | — | 287 | 260 | 69 | 14 | 4 | 6 | 18 | 86 | 5 | 19 | 9 | 265 | 324 | 419 | 743 | 154 | 368 | 30 | 6 | 327 | 65 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK MLE | DSL Dodgers 2 | — | 233 | 217 | 32 | 7 | 3 | 1 | 10 | 78 | 5 | 7 | 5 | 147 | 203 | 221 | 424 | 74 | 221 | 33 | 4 | 188 | 13 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | DSL Dodgers Robinson | — | 225 | 210 | 26 | 2 | 1 | 2 | 14 | 78 | 0 | 15 | 2 | 124 | 179 | 171 | 350 | 48 | 183 | 35 | 6 | 163 | -4 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | AZL Dodgers Mota | — | 199 | 194 | 30 | 3 | 4 | 4 | 3 | 91 | 0 | 9 | 3 | 155 | 168 | 273 | 441 | 119 | 259 | 46 | 2 | 191 | 15 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | Rancho Cucamonga Quakes | — | 123 | 116 | 19 | 2 | 3 | 4 | 5 | 71 | 2 | 2 | 1 | 164 | 211 | 336 | 548 | 172 | 339 | 58 | 4 | 221 | 36 | — | — | — | — | — | — |
| 2021 | 21 | ROK MLE | ACL Dodgers | — | 84 | 79 | 10 | 2 | 0 | 2 | 3 | 55 | 2 | 4 | 3 | 127 | 179 | 228 | 406 | 101 | 386 | 65 | 4 | 189 | 14 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | Great Lakes Loons | — | 119 | 110 | 17 | 3 | 1 | 5 | 7 | 39 | 1 | 4 | 3 | 155 | 212 | 336 | 548 | 182 | 190 | 33 | 6 | 236 | 46 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | Rancho Cucamonga Quakes | — | 324 | 294 | 62 | 11 | 1 | 6 | 21 | 124 | 4 | 27 | 5 | 211 | 273 | 316 | 589 | 105 | 321 | 38 | 6 | 261 | 63 | — | — | — | — | — | — |
| 2023 | 23 | AA MLE | Tulsa Drillers | — | 120 | 110 | 17 | 1 | 0 | 2 | 8 | 44 | 2 | 6 | 2 | 155 | 225 | 218 | 443 | 64 | 232 | 37 | 7 | 204 | 24 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | Great Lakes Loons | — | 287 | 266 | 60 | 11 | 3 | 5 | 13 | 109 | 5 | 19 | 9 | 226 | 275 | 346 | 621 | 120 | 343 | 38 | 5 | 265 | 65 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Dodgers 2 | — | 233 | 217 | 32 | 7 | 3 | 1 | 10 | 78 | 5 | 7 | 5 | 147 | 203 | 221 | 424 | 74 | 223 | 33 | 4 | 188 | 13 | — | — | — | — | — | — |
| 2017 | 17 | ROK RAW | DSL Dodgers 2 | — | 233 | 212 | 50 | 12 | 5 | 2 | 15 | 64 | 5 | 7 | 5 | 236 | 302 | 368 | 670 | 132 | 327 | 27 | 6 | 300 | 13 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | DSL Dodgers Robinson | — | 225 | 210 | 26 | 2 | 1 | 2 | 14 | 78 | 0 | 15 | 2 | 124 | 179 | 171 | 350 | 48 | 183 | 35 | 6 | 163 | -4 | — | — | — | — | — | — |
| 2018 | 18 | ROK RAW | DSL Dodgers Robinson | — | 225 | 204 | 42 | 4 | 1 | 5 | 20 | 64 | 0 | 15 | 2 | 206 | 277 | 309 | 586 | 103 | 272 | 28 | 9 | 267 | -4 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | AZL Dodgers Mota | — | 199 | 194 | 30 | 3 | 4 | 4 | 3 | 91 | 0 | 9 | 3 | 155 | 168 | 273 | 441 | 119 | 257 | 46 | 2 | 191 | 15 | — | — | — | — | — | — |
| 2019 | 19 | ROK RAW | AZL Dodgers Mota | — | 199 | 192 | 50 | 6 | 8 | 6 | 5 | 63 | 0 | 9 | 3 | 260 | 279 | 469 | 748 | 208 | 352 | 32 | 3 | 320 | 15 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | 2 teams | — | 207 | 195 | 29 | 4 | 3 | 6 | 8 | 126 | 4 | 6 | 4 | 149 | 198 | 292 | 490 | 144 | 365 | 61 | 4 | 208 | 27 | — | — | — | — | — | — |
| 2021 | 21 | A RAW | 2 teams | — | 207 | 188 | 49 | 8 | 5 | 10 | 13 | 90 | 4 | 6 | 4 | 261 | 319 | 516 | 835 | 255 | 443 | 43 | 6 | 361 | 27 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | 2 teams | — | 443 | 404 | 80 | 15 | 2 | 11 | 28 | 164 | 5 | 31 | 8 | 198 | 259 | 327 | 585 | 129 | 295 | 37 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2022 | 22 | A RAW | 2 teams | — | 443 | 389 | 99 | 18 | 3 | 17 | 43 | 117 | 5 | 31 | 8 | 254 | 336 | 447 | 784 | 193 | 315 | 26 | 10 | 344 | 58 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | 2 teams | — | 407 | 376 | 77 | 12 | 3 | 7 | 21 | 153 | 7 | 25 | 11 | 205 | 260 | 309 | 568 | 104 | 320 | 38 | 5 | 247 | 53 | — | — | — | — | — | — |
| 2023 | 23 | A+ RAW | 2 teams | — | 407 | 367 | 88 | 15 | 4 | 9 | 29 | 123 | 7 | 25 | 11 | 240 | 307 | 376 | 683 | 136 | 332 | 30 | 7 | 305 | 53 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Dodgers 2 | — | 233 | 216 | 32 | 7 | 3 | 1 | 10 | 78 | 5 | 7 | 5 | 148 | 203 | 222 | 425 | 74 | 221 | 33 | 4 | 188 | 13 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | DSL Dodgers Robinson | — | 225 | 209 | 26 | 2 | 1 | 2 | 14 | 78 | 0 | 15 | 2 | 124 | 179 | 172 | 351 | 48 | 183 | 35 | 6 | 163 | -4 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | AZL Dodgers Mota | — | 199 | 194 | 30 | 3 | 4 | 4 | 3 | 91 | 0 | 9 | 3 | 155 | 168 | 273 | 441 | 119 | 259 | 46 | 2 | 191 | 15 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | 2 teams | — | 207 | 193 | 29 | 4 | 3 | 6 | 8 | 126 | 4 | 6 | 4 | 150 | 198 | 295 | 493 | 145 | 358 | 61 | 4 | 208 | 27 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | 2 teams | — | 443 | 407 | 80 | 15 | 2 | 11 | 28 | 164 | 5 | 31 | 8 | 197 | 259 | 324 | 583 | 128 | 286 | 37 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | 2 teams | — | 407 | 376 | 77 | 12 | 3 | 7 | 21 | 153 | 7 | 25 | 11 | 205 | 260 | 309 | 568 | 104 | 310 | 38 | 5 | 247 | 53 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1714 | 1596 | 274 | 43 | 16 | 31 | 84 | 690 | 21 | 93 | 33 | 172 | 223 | 277 | 500 | 105 | 274 | 40 | 5 | 219 | 34 | -134 | +5 | +0 | +18 | +37 | -7.5 | |
| / 162G | — | MLE | — | 650 | 605 | 104 | 16 | 6 | 12 | 32 | 262 | 8 | 35 | 13 | 172 | 223 | 278 | 501 | 106 | 274 | 40 | 5 | 219 | 34 | -51 | +2 | +0 | +7 | +14 | -2.9 | |
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 A+Great Lakes Loons · 287 PAwOBA .322 → .265 (−56)K% 30.0% → 37.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.97% | ÷1.004 | ×1.270 | — | — | 37.90% |
| BB% (unintentional) /PA | 6.27% | ÷0.992 | ×0.710 | — | ×0.988 | 4.44% |
| HBP% /PA | 1.74% | — | ×0.790 | — | ×0.988 | 1.36% |
| Singles /BIP | 25.86% | ÷0.975 | ×0.920 | ×1.048 | ×0.988 | 25.26% |
| Doubles /BIP | 8.05% | ÷1.011 | ×0.810 | ×1.048 | ×0.988 | 6.67% |
| Triples /BIP | 2.30% | ÷0.997 | ×0.850 | ×1.048 | ×0.988 | 2.03% |
| Home runs /BIP | 3.45% | ÷0.951 | ×0.800 | — | ×0.988 | 2.86% |
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 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 ×1.048.
Result: wOBA .322 → .265; ISO .154 → .120; BABIP .368 → .343. 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 AATulsa Drillers · 120 PAwOBA .246 → .204 (−42)K% 30.8% → 36.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.83% | ÷1.023 | ×1.220 | — | — | 36.75% |
| BB% (unintentional) /PA | 9.17% | ÷0.973 | ×0.700 | — | ×1.012 | 6.67% |
| HBP% /PA | 1.67% | — | ×0.870 | — | ×1.012 | 1.47% |
| Singles /BIP | 21.43% | ÷0.992 | ×0.920 | ×1.050 | ×1.012 | 21.11% |
| Doubles /BIP | 1.43% | ÷0.942 | ×0.840 | ×1.050 | ×1.012 | 1.35% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | ×1.050 | ×1.012 | 0.00% |
| Home runs /BIP | 4.29% | ÷1.083 | ×0.800 | — | ×1.012 | 3.20% |
Factors used: league row TL. Park (home-season share, regressed): HR 117, 1B 98, 2B 88, 3B 80, K 105, BB 95 — 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 ×1.050.
Result: wOBA .246 → .204; ISO .093 → .068; BABIP .239 → .232. 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 · 324 PAwOBA .353 → .261 (−92)K% 26.2% → 38.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.23% | ÷0.930 | ×1.360 | — | — | 38.37% |
| BB% (unintentional) /PA | 10.19% | ÷1.072 | ×0.690 | — | ×0.990 | 6.49% |
| HBP% /PA | 1.23% | — | ×0.780 | — | ×0.990 | 0.95% |
| Singles /BIP | 26.40% | ÷0.981 | ×0.920 | ×1.021 | ×0.990 | 25.03% |
| Doubles /BIP | 7.11% | ÷0.923 | ×0.830 | ×1.021 | ×0.990 | 6.46% |
| Triples /BIP | 0.51% | ÷1.150 | ×0.910 | ×1.021 | ×0.990 | 0.41% |
| Home runs /BIP | 5.58% | ÷1.247 | ×0.800 | — | ×0.990 | 3.55% |
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 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 ×1.021.
Result: wOBA .353 → .261; ISO .174 → .112; BABIP .351 → .321. 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 A+Great Lakes Loons · 119 PAwOBA .300 → .236 (−64)K% 26.9% → 33.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.89% | ÷1.033 | ×1.270 | — | — | 33.07% |
| BB% (unintentional) /PA | 8.40% | ÷0.980 | ×0.710 | — | ×0.998 | 6.07% |
| HBP% /PA | 0.84% | — | ×0.790 | — | ×0.998 | 0.66% |
| Singles /BIP | 12.00% | ÷1.026 | ×0.920 | ×1.043 | ×0.998 | 11.19% |
| Doubles /BIP | 5.33% | ÷0.985 | ×0.810 | ×1.043 | ×0.998 | 4.56% |
| Triples /BIP | 2.67% | ÷1.150 | ×0.850 | ×1.043 | ×0.998 | 2.05% |
| Home runs /BIP | 8.00% | ÷1.013 | ×0.800 | — | ×0.998 | 6.31% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 103, 1B 105, 2B 97, 3B 130, K 107, BB 96 — 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 ×1.043.
Result: wOBA .300 → .236; ISO .243 → .185; BABIP .217 → .190. 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 · 123 PAwOBA .330 → .221 (−110)K% 43.1% → 57.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 43.09% | ÷1.015 | ×1.360 | — | — | 57.72% |
| BB% (unintentional) /PA | 5.69% | ÷0.985 | ×0.690 | — | — | 3.99% |
| HBP% /PA | 1.63% | — | ×0.780 | — | — | 1.27% |
| Singles /BIP | 23.73% | ÷0.965 | ×0.920 | ×0.951 | — | 21.51% |
| Doubles /BIP | 5.08% | ÷1.166 | ×0.830 | ×0.951 | — | 3.44% |
| Triples /BIP | 6.78% | ÷0.960 | ×0.910 | ×0.951 | — | 6.11% |
| Home runs /BIP | 10.17% | ÷0.965 | ×0.800 | — | — | 8.43% |
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 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 ×0.951.
Result: wOBA .330 → .221; ISO .259 → .167; BABIP .396 → .339. 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 ROKACL Dodgers · 84 PAwOBA .377 → .189 (−188)K% 44.0% → 65.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 44.05% | ÷0.973 | ×1.440 | — | — | 65.20% |
| BB% (unintentional) /PA | 5.95% | ÷1.007 | ×0.620 | — | ×0.975 | 3.57% |
| HBP% /PA | 2.38% | — | ×0.720 | — | ×0.975 | 1.67% |
| Singles /BIP | 30.77% | ÷0.996 | ×0.820 | — | ×0.975 | 24.71% |
| Doubles /BIP | 12.82% | ÷0.942 | ×0.720 | — | ×0.975 | 9.55% |
| Triples /BIP | 2.56% | ÷1.150 | ×0.720 | — | ×0.975 | 1.57% |
| Home runs /BIP | 10.26% | ÷1.068 | ×0.780 | — | ×0.975 | 7.30% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 99, 2B 88, 3B 130, K 95, BB 101 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .377 → .189; ISO .250 → .113; BABIP .514 → .386. 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 · 199 PAwOBA .314 → .191 (−124)K% 31.7% → 45.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.66% | ÷1.000 | ×1.440 | — | — | 45.59% |
| BB% (unintentional) /PA | 2.51% | ÷1.000 | ×0.620 | — | ×0.995 | 1.55% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 23.26% | ÷1.000 | ×0.820 | ×0.950 | ×0.995 | 18.03% |
| Doubles /BIP | 4.65% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 3.17% |
| Triples /BIP | 6.20% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 4.22% |
| Home runs /BIP | 4.65% | ÷1.000 | ×0.780 | — | ×0.995 | 3.61% |
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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .314 → .191; ISO .208 → .123; BABIP .352 → .259. 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 DSLDSL Dodgers Robinson · 225 PAwOBA .261 → .163 (−98)K% 28.4% → 34.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.44% | ÷1.000 | ×1.220 | — | — | 34.70% |
| BB% (unintentional) /PA | 8.89% | ÷1.000 | ×0.700 | — | ×0.995 | 6.19% |
| HBP% /PA | 0.00% | — | ×0.700 | — | ×0.995 | 0.00% |
| Singles /BIP | 22.86% | ÷1.000 | ×0.680 | ×1.033 | ×0.995 | 15.97% |
| Doubles /BIP | 2.86% | ÷1.000 | ×0.600 | ×1.033 | ×0.995 | 1.76% |
| Triples /BIP | 0.71% | ÷1.000 | ×0.600 | ×1.033 | ×0.995 | 0.44% |
| Home runs /BIP | 3.57% | ÷1.000 | ×0.470 | — | ×0.995 | 1.67% |
Factors used: level-wide DSL 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 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.
Result: wOBA .261 → .163; ISO .103 → .050; BABIP .272 → .183. 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).