Roberto Baldoquin
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 24 | AA/A+/INTL3 orgs | 391 | .256/.319/.352 | 3 | 5 | 62 | — | .250/.297/.339 |
| 2019 | 25 | AAMobile BayBea… | 299 | .232/.294/.301 | 2 | 2 | 25 | — | .176/.226/.227 |
| 2022 | 28 | AAA/AASTL | 228 | .231/.342/.267 | 0 | 1 | 50 | — | .211/.294/.245 |
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 | 21 | A+ | Inland Empire 66ers | — | 309 | 289 | 68 | 12 | 1 | 1 | 9 | 70 | 4 | 4 | 5 | 235 | 268 | 294 | 562 | 59 | 303 | 23 | 3 | 250 | 28 | — | — | — | — | — | — |
| 2016 | 22 | A+ | Inland Empire 66ers | — | 255 | 227 | 45 | 6 | 1 | 0 | 21 | 62 | 3 | 3 | 3 | 198 | 275 | 233 | 508 | 35 | 271 | 24 | 8 | 238 | 21 | — | — | — | — | — | — |
| 2017 | 23 | A | Burlington Bees | — | 196 | 178 | 45 | 8 | 1 | 4 | 12 | 42 | 2 | 6 | 4 | 253 | 307 | 376 | 684 | 124 | 311 | 21 | 6 | 301 | 49 | — | — | — | — | — | — |
| 2018 | 24 | AA | Mobile BayBears | — | 212 | 193 | 52 | 7 | 2 | 1 | 13 | 46 | 3 | 3 | 3 | 269 | 325 | 342 | 667 | 73 | 342 | 22 | 6 | 300 | 63 | — | — | — | — | — | — |
| 2018 | 24 | A+ | Inland Empire 66ers | — | 131 | 116 | 34 | 2 | 6 | 1 | 10 | 28 | 2 | 2 | 2 | 293 | 359 | 440 | 799 | 147 | 375 | 21 | 8 | 347 | 82 | — | — | — | — | — | — |
| 2018 | 24 | INTL | Mesa Solar Sox | — | 48 | 43 | 4 | 0 | 0 | 1 | 5 | 17 | 0 | 0 | 0 | 93 | 188 | 163 | 350 | 70 | 120 | 35 | 10 | 173 | 3 | — | — | — | — | — | — |
| 2019 | 25 | AA | Mobile BayBears | — | 299 | 272 | 63 | 11 | 1 | 2 | 18 | 70 | 6 | 2 | 2 | 232 | 294 | 301 | 595 | 70 | 300 | 23 | 6 | 272 | 25 | — | — | — | — | — | — |
| 2022 | 28 | AAA | Memphis Redbirds | — | 90 | 77 | 21 | 2 | 0 | 0 | 10 | 12 | 3 | 1 | 1 | 273 | 378 | 299 | 676 | 26 | 323 | 13 | 11 | 322 | 68 | — | — | — | — | — | — |
| 2022 | 28 | AA | Springfield Cardinals | — | 138 | 118 | 24 | 5 | 0 | 0 | 15 | 26 | 5 | 0 | 1 | 203 | 319 | 246 | 565 | 42 | 261 | 19 | 11 | 274 | 39 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 21 | A+ MLE | Inland Empire 66ers | — | 309 | 292 | 60 | 10 | 1 | 1 | 6 | 96 | 4 | 4 | 5 | 205 | 232 | 257 | 489 | 51 | 286 | 31 | 2 | 210 | 28 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | Inland Empire 66ers | — | 255 | 233 | 42 | 5 | 1 | 0 | 15 | 82 | 3 | 3 | 3 | 180 | 239 | 210 | 449 | 30 | 263 | 32 | 6 | 199 | 21 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | Burlington Bees | — | 196 | 181 | 38 | 5 | 1 | 3 | 9 | 57 | 2 | 6 | 4 | 210 | 255 | 298 | 554 | 88 | 287 | 29 | 5 | 241 | 49 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Mobile BayBears | — | 212 | 197 | 48 | 6 | 2 | 1 | 9 | 56 | 3 | 3 | 3 | 244 | 287 | 310 | 597 | 66 | 321 | 26 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2018 | 24 | A+ MLE | Inland Empire 66ers | — | 131 | 119 | 31 | 2 | 5 | 1 | 7 | 36 | 2 | 2 | 2 | 261 | 312 | 387 | 699 | 126 | 342 | 27 | 5 | 289 | 82 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | Mobile BayBears | — | 299 | 278 | 49 | 9 | 1 | 1 | 12 | 89 | 6 | 2 | 2 | 176 | 226 | 227 | 453 | 50 | 246 | 30 | 4 | 205 | 25 | — | — | — | — | — | — |
| 2022 | 28 | AAA MLE | Memphis Redbirds | — | 90 | 81 | 20 | 2 | 0 | 0 | 6 | 15 | 3 | 1 | 1 | 247 | 322 | 272 | 594 | 25 | 293 | 17 | 7 | 268 | 68 | — | — | — | — | — | — |
| 2022 | 28 | AA MLE | Springfield Cardinals | — | 138 | 123 | 23 | 5 | 0 | 0 | 10 | 31 | 5 | 0 | 1 | 187 | 275 | 228 | 503 | 41 | 240 | 22 | 7 | 226 | 39 | — | — | — | — | — | — |
| 2015 | 21 | A+ MLE | Inland Empire 66ers | — | 309 | 292 | 60 | 10 | 1 | 1 | 6 | 96 | 4 | 4 | 5 | 205 | 232 | 257 | 489 | 51 | 298 | 31 | 2 | 210 | 28 | — | — | — | — | — | — |
| 2015 | 21 | A+ RAW | Inland Empire 66ers | — | 309 | 289 | 68 | 12 | 1 | 1 | 9 | 70 | 4 | 4 | 5 | 235 | 268 | 294 | 562 | 59 | 303 | 23 | 3 | 250 | 28 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | Inland Empire 66ers | — | 255 | 233 | 42 | 5 | 1 | 0 | 15 | 82 | 3 | 3 | 3 | 180 | 239 | 210 | 449 | 30 | 276 | 32 | 6 | 199 | 21 | — | — | — | — | — | — |
| 2016 | 22 | A+ RAW | Inland Empire 66ers | — | 255 | 227 | 45 | 6 | 1 | 0 | 21 | 62 | 3 | 3 | 3 | 198 | 275 | 233 | 508 | 35 | 271 | 24 | 8 | 238 | 21 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | Burlington Bees | — | 196 | 181 | 38 | 5 | 1 | 3 | 9 | 57 | 2 | 6 | 4 | 210 | 255 | 298 | 554 | 88 | 289 | 29 | 5 | 241 | 49 | — | — | — | — | — | — |
| 2017 | 23 | A RAW | Burlington Bees | — | 196 | 178 | 45 | 8 | 1 | 4 | 12 | 42 | 2 | 6 | 4 | 253 | 307 | 376 | 684 | 124 | 311 | 21 | 6 | 301 | 49 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | 3 teams | — | 391 | 362 | 90 | 9 | 8 | 2 | 18 | 104 | 5 | 5 | 5 | 249 | 294 | 334 | 628 | 86 | 338 | 27 | 5 | 272 | 70 | — | — | — | — | — | — |
| 2018 | 24 | AA RAW | 3 teams | — | 391 | 352 | 90 | 9 | 8 | 3 | 28 | 91 | 5 | 5 | 5 | 256 | 319 | 352 | 672 | 97 | 332 | 23 | 7 | 300 | 70 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | Mobile BayBears | — | 299 | 278 | 49 | 9 | 1 | 1 | 12 | 89 | 6 | 2 | 2 | 176 | 226 | 227 | 453 | 50 | 251 | 30 | 4 | 205 | 25 | — | — | — | — | — | — |
| 2019 | 25 | AA RAW | Mobile BayBears | — | 299 | 272 | 63 | 11 | 1 | 2 | 18 | 70 | 6 | 2 | 2 | 232 | 294 | 301 | 595 | 70 | 300 | 23 | 6 | 272 | 25 | — | — | — | — | — | — |
| 2022 | 28 | AA MLE | 2 teams | — | 228 | 204 | 41 | 6 | 0 | 0 | 16 | 46 | 8 | 1 | 2 | 201 | 285 | 230 | 515 | 29 | 259 | 20 | 7 | 243 | 50 | — | — | — | — | — | — |
| 2022 | 28 | AA RAW | 2 teams | — | 228 | 195 | 45 | 7 | 0 | 0 | 25 | 38 | 8 | 1 | 2 | 231 | 342 | 267 | 609 | 36 | 287 | 17 | 11 | 293 | 50 | — | — | — | — | — | — |
| 2015 | 21 | A+ MLE | Inland Empire 66ers | — | 309 | 296 | 60 | 10 | 1 | 1 | 6 | 96 | 4 | 4 | 5 | 203 | 232 | 253 | 485 | 51 | 286 | 31 | 2 | 210 | 28 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | Inland Empire 66ers | — | 255 | 235 | 42 | 5 | 1 | 0 | 15 | 82 | 3 | 3 | 3 | 179 | 239 | 209 | 448 | 30 | 263 | 32 | 6 | 199 | 21 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | Burlington Bees | — | 196 | 183 | 38 | 5 | 1 | 3 | 9 | 57 | 2 | 6 | 4 | 208 | 255 | 295 | 550 | 87 | 287 | 29 | 5 | 241 | 49 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | 3 teams | — | 391 | 365 | 90 | 9 | 8 | 2 | 18 | 104 | 5 | 5 | 5 | 247 | 294 | 332 | 625 | 85 | 329 | 27 | 5 | 272 | 70 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | Mobile BayBears | — | 299 | 279 | 49 | 9 | 1 | 1 | 12 | 89 | 6 | 2 | 2 | 176 | 226 | 226 | 452 | 50 | 246 | 30 | 4 | 205 | 25 | — | — | — | — | — | — |
| 2022 | 28 | AA MLE | 2 teams | — | 228 | 202 | 41 | 6 | 0 | 0 | 16 | 46 | 8 | 1 | 2 | 203 | 285 | 233 | 518 | 30 | 261 | 20 | 7 | 243 | 50 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1678 | 1550 | 320 | 44 | 12 | 7 | 76 | 474 | 28 | 21 | 21 | 206 | 256 | 264 | 520 | 57 | 290 | 28 | 5 | 230 | 42 | -116 | -4 | +0 | +18 | +36 | -6.7 | |
| / 162G | — | MLE | — | 650 | 600 | 125 | 17 | 5 | 3 | 29 | 184 | 11 | 8 | 8 | 208 | 257 | 268 | 526 | 60 | 293 | 28 | 4 | 230 | 42 | -45 | -2 | +0 | +7 | +14 | -2.6 | |
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 AASpringfield Cardinals · 138 PAwOBA .267 → .226 (−42)K% 18.8% → 22.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.84% | ÷1.024 | ×1.220 | — | — | 22.45% |
| BB% (unintentional) /PA | 10.87% | ÷1.044 | ×0.700 | — | ×0.968 | 7.06% |
| HBP% /PA | 3.62% | — | ×0.870 | — | ×0.968 | 3.05% |
| Singles /BIP | 20.65% | ÷1.012 | ×0.920 | ×1.050 | ×0.968 | 19.08% |
| Doubles /BIP | 5.43% | ÷0.935 | ×0.840 | ×1.050 | ×0.968 | 4.96% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | ×1.050 | ×0.968 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.069 | ×0.800 | — | ×0.968 | 0.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 114, 1B 102, 2B 87, 3B 80, K 105, BB 109 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .267 → .226; ISO .042 → .039; BABIP .261 → .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).
2022 AAAMemphis Redbirds · 90 PAwOBA .314 → .268 (−46)K% 13.3% → 16.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.33% | ÷0.976 | ×1.200 | — | — | 16.40% |
| BB% (unintentional) /PA | 11.11% | ÷1.053 | ×0.690 | — | ×0.992 | 7.22% |
| HBP% /PA | 3.33% | — | ×0.940 | — | ×0.992 | 3.11% |
| Singles /BIP | 29.23% | ÷1.051 | ×0.930 | ×1.039 | ×0.992 | 26.67% |
| Doubles /BIP | 3.08% | ÷1.019 | ×0.830 | ×1.039 | ×0.992 | 2.58% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×1.039 | ×0.992 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.048 | ×0.700 | — | ×0.992 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 110, 1B 110, 2B 104, 3B 130, K 95, BB 111 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.
Result: wOBA .314 → .268; ISO .026 → .022; BABIP .323 → .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).
2019 AAMobile BayBears · 299 PAwOBA .267 → .205 (−63)K% 23.4% → 29.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.41% | ÷0.956 | ×1.220 | — | — | 29.88% |
| BB% (unintentional) /PA | 6.02% | ÷1.020 | ×0.680 | — | ×0.998 | 4.01% |
| HBP% /PA | 2.01% | — | ×0.840 | — | ×0.998 | 1.68% |
| Singles /BIP | 24.26% | ÷1.066 | ×0.920 | ×0.950 | ×0.998 | 19.86% |
| Doubles /BIP | 5.45% | ÷1.054 | ×0.910 | ×0.950 | ×0.998 | 4.46% |
| Triples /BIP | 0.50% | ÷0.902 | ×0.880 | ×0.950 | ×0.998 | 0.46% |
| Home runs /BIP | 0.99% | ÷1.050 | ×0.800 | — | ×0.998 | 0.75% |
Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 113, 2B 111, 3B 80, K 91, BB 104 — 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 ×0.950.
Result: wOBA .267 → .205; ISO .070 → .054; BABIP .300 → .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).
2018 AAMobile BayBears · 212 PAwOBA .296 → .262 (−34)K% 21.7% → 26.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.70% | ÷1.012 | ×1.220 | — | — | 26.16% |
| BB% (unintentional) /PA | 6.13% | ÷1.040 | ×0.680 | — | ×1.012 | 4.06% |
| HBP% /PA | 1.42% | — | ×0.840 | — | ×1.012 | 1.20% |
| Singles /BIP | 28.57% | ÷1.021 | ×0.920 | ×1.029 | ×1.012 | 26.80% |
| Doubles /BIP | 4.76% | ÷1.014 | ×0.910 | ×1.029 | ×1.012 | 4.45% |
| Triples /BIP | 1.36% | ÷0.944 | ×0.880 | ×1.029 | ×1.012 | 1.32% |
| Home runs /BIP | 0.68% | ÷0.959 | ×0.800 | — | ×1.012 | 0.57% |
Factors used: league row SL. Park (home-season share, regressed): HR 92, 1B 104, 2B 103, 3B 89, K 102, BB 108 — 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 ×1.029.
Result: wOBA .296 → .262; ISO .073 → .066; BABIP .342 → .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).
2018 A+Inland Empire 66ers · 131 PAwOBA .340 → .289 (−51)K% 21.4% → 27.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.37% | ÷1.044 | ×1.340 | — | — | 27.44% |
| BB% (unintentional) /PA | 7.63% | ÷0.986 | ×0.710 | — | ×0.988 | 5.43% |
| HBP% /PA | 1.53% | — | ×0.790 | — | ×0.988 | 1.19% |
| Singles /BIP | 28.41% | ÷0.977 | ×0.910 | ×1.033 | ×0.988 | 27.03% |
| Doubles /BIP | 2.27% | ÷1.087 | ×0.820 | ×1.033 | ×0.988 | 1.75% |
| Triples /BIP | 6.82% | ÷0.978 | ×0.760 | ×1.033 | ×0.988 | 5.41% |
| Home runs /BIP | 1.14% | ÷0.978 | ×0.920 | — | ×0.988 | 1.06% |
Factors used: league row CAL. Park (home-season share, regressed): HR 96, 1B 95, 2B 117, 3B 96, K 109, BB 97 — 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 ×1.033.
Result: wOBA .340 → .289; ISO .147 → .117; BABIP .375 → .342. 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 ABurlington Bees · 196 PAwOBA .293 → .241 (−52)K% 21.4% → 29.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.43% | ÷0.998 | ×1.360 | — | — | 29.21% |
| BB% (unintentional) /PA | 6.12% | ÷0.884 | ×0.690 | — | ×0.990 | 4.73% |
| HBP% /PA | 1.02% | — | ×0.780 | — | ×0.990 | 0.79% |
| Singles /BIP | 23.53% | ÷0.960 | ×0.920 | ×1.032 | ×0.990 | 23.02% |
| Doubles /BIP | 5.88% | ÷1.166 | ×0.830 | ×1.032 | ×0.990 | 4.28% |
| Triples /BIP | 0.74% | ÷0.900 | ×0.910 | ×1.032 | ×0.990 | 0.76% |
| Home runs /BIP | 2.94% | ÷1.105 | ×0.800 | — | ×0.990 | 2.11% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 92, 2B 133, 3B 80, K 100, BB 77 — 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 ×1.032.
Result: wOBA .293 → .241; ISO .124 → .087; BABIP .311 → .287. 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 A+Inland Empire 66ers · 255 PAwOBA .233 → .199 (−34)K% 24.3% → 32.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.31% | ÷1.009 | ×1.340 | — | — | 32.28% |
| BB% (unintentional) /PA | 8.24% | ÷0.998 | ×0.710 | — | ×1.012 | 5.93% |
| HBP% /PA | 1.18% | — | ×0.790 | — | ×1.012 | 0.94% |
| Singles /BIP | 23.03% | ÷0.968 | ×0.910 | ×1.048 | ×1.012 | 22.97% |
| Doubles /BIP | 3.64% | ÷1.034 | ×0.820 | ×1.048 | ×1.012 | 3.06% |
| Triples /BIP | 0.61% | ÷1.150 | ×0.760 | ×1.048 | ×1.012 | 0.42% |
| Home runs /BIP | 0.00% | ÷0.873 | ×0.920 | — | ×1.012 | 0.00% |
Factors used: league row CAL. Park (home-season share, regressed): HR 75, 1B 94, 2B 107, 3B 130, K 102, BB 100 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.
Result: wOBA .233 → .199; ISO .035 → .027; BABIP .271 → .263. 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+Inland Empire 66ers · 309 PAwOBA .246 → .210 (−35)K% 22.7% → 31.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.65% | ÷0.972 | ×1.340 | — | — | 31.21% |
| BB% (unintentional) /PA | 2.91% | ÷1.013 | ×0.710 | — | ×1.027 | 2.10% |
| HBP% /PA | 1.29% | — | ×0.790 | — | ×1.027 | 1.05% |
| Singles /BIP | 24.66% | ÷1.021 | ×0.910 | ×1.050 | ×1.027 | 23.71% |
| Doubles /BIP | 5.48% | ÷1.000 | ×0.820 | ×1.050 | ×1.027 | 4.85% |
| Triples /BIP | 0.46% | ÷1.150 | ×0.760 | ×1.050 | ×1.027 | 0.33% |
| Home runs /BIP | 0.46% | ÷0.896 | ×0.920 | — | ×1.027 | 0.48% |
Factors used: league row CAL. Park (home-season share, regressed): HR 79, 1B 104, 2B 100, 3B 130, K 94, BB 103 — 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 ×1.050.
Result: wOBA .246 → .210; ISO .059 → .049; BABIP .303 → .286. 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 — .