Ulrich Bojarski
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 23 | A+/INTL2 orgs | 267 | .280/.348/.548 | 15 | 5 | 123 | — | .115/.190/.292 |
| 2023 | 24 | INTLPerth Heat | 83 | .297/.366/.514 | 4 | 1 | 145 | — | |
| 2024 | 25 | INTLPerth Heat | 140 | .282/.321/.511 | 8 | 0 | 132 | — |
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) | |||||||||||||||||||||||||||||||
| 2016 | 17 | INTL | Perth Heat | — | 143 | 136 | 33 | 5 | 1 | 3 | 3 | 39 | 2 | 6 | 2 | 243 | 270 | 360 | 630 | 118 | 316 | 27 | 2 | 277 | 73 | — | — | — | — | — | — |
| 2017 | 18 | ROK | GCL Tigers West | — | 124 | 111 | 25 | 7 | 1 | 1 | 7 | 35 | 5 | 1 | 0 | 225 | 301 | 333 | 634 | 108 | 316 | 28 | 6 | 288 | 11 | — | — | — | — | — | — |
| 2017 | 18 | INTL | Perth Heat | — | 128 | 114 | 35 | 9 | 2 | 5 | 10 | 31 | 2 | 1 | 0 | 307 | 373 | 553 | 926 | 246 | 375 | 24 | 8 | 397 | 155 | — | — | — | — | — | — |
| 2018 | 19 | A | West Michigan Whitecaps | — | 37 | 36 | 8 | 3 | 1 | 1 | 0 | 15 | 0 | 0 | 0 | 222 | 222 | 444 | 667 | 222 | 333 | 41 | 0 | 277 | 11 | — | — | — | — | — | — |
| 2018 | 19 | ROK | FCL Tigers East | — | 115 | 98 | 22 | 6 | 1 | 4 | 12 | 31 | 4 | 3 | 2 | 224 | 333 | 429 | 762 | 204 | 281 | 27 | 10 | 338 | 34 | — | — | — | — | — | — |
| 2018 | 19 | INTL | Perth Heat | — | 39 | 35 | 10 | 0 | 0 | 2 | 1 | 10 | 2 | 2 | 0 | 286 | 342 | 457 | 799 | 171 | 333 | 26 | 3 | 348 | 122 | — | — | — | — | — | — |
| 2019 | 20 | A+ | Lakeland Flying Tigers | — | 80 | 77 | 14 | 4 | 1 | 0 | 1 | 20 | 1 | 1 | 0 | 182 | 203 | 260 | 462 | 78 | 241 | 25 | 1 | 204 | -8 | — | — | — | — | — | — |
| 2019 | 20 | A | West Michigan Whitecaps | — | 420 | 384 | 104 | 17 | 3 | 10 | 16 | 87 | 6 | 6 | 3 | 271 | 307 | 409 | 715 | 138 | 319 | 21 | 4 | 310 | 63 | — | — | — | — | — | — |
| 2019 | 20 | INTL | Perth Heat | — | 119 | 104 | 25 | 8 | 0 | 6 | 11 | 25 | 2 | 4 | 0 | 240 | 325 | 490 | 815 | 250 | 257 | 21 | 9 | 352 | 124 | — | — | — | — | — | — |
| 2020 | 21 | INTL | Perth Heat | — | 60 | 57 | 11 | 2 | 0 | 0 | 1 | 18 | 1 | 0 | 0 | 193 | 220 | 228 | 448 | 35 | 275 | 30 | 2 | 202 | 23 | — | — | — | — | — | — |
| 2021 | 22 | A+ | West Michigan Whitecaps | — | 76 | 69 | 11 | 3 | 2 | 1 | 5 | 36 | 0 | 0 | 1 | 159 | 216 | 304 | 521 | 145 | 294 | 47 | 7 | 226 | -20 | — | — | — | — | — | — |
| 2021 | 22 | A | Lakeland Flying Tigers | — | 134 | 121 | 19 | 2 | 0 | 0 | 11 | 57 | 1 | 3 | 1 | 157 | 233 | 174 | 407 | 17 | 297 | 43 | 8 | 197 | -27 | — | — | — | — | — | — |
| 2022 | 23 | A+ | West Michigan Whitecaps | — | 106 | 94 | 16 | 3 | 0 | 7 | 8 | 45 | 3 | 1 | 0 | 170 | 257 | 426 | 683 | 255 | 209 | 42 | 8 | 298 | 28 | — | — | — | — | — | — |
| 2022 | 23 | INTL | Perth Heat | — | 161 | 145 | 51 | 10 | 3 | 8 | 14 | 39 | 0 | 4 | 0 | 352 | 409 | 628 | 1.036 | 276 | 430 | 24 | 9 | 443 | 186 | — | — | — | — | — | — |
| 2023 | 24 | INTL | Perth Heat | — | 83 | 74 | 22 | 4 | 0 | 4 | 7 | 25 | 1 | 1 | 0 | 297 | 366 | 514 | 879 | 216 | 391 | 30 | 8 | 383 | 145 | — | — | — | — | — | — |
| 2024 | 25 | INTL | Perth Heat | — | 140 | 131 | 37 | 6 | 0 | 8 | 4 | 41 | 4 | 0 | 0 | 282 | 321 | 511 | 833 | 229 | 354 | 29 | 3 | 364 | 132 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 18 | ROK MLE | GCL Tigers West | — | 124 | 114 | 17 | 4 | 1 | 1 | 4 | 50 | 5 | 1 | 0 | 149 | 211 | 228 | 439 | 79 | 237 | 40 | 3 | 184 | 11 | — | — | — | — | — | — |
| 2018 | 19 | A MLE | West Michigan Whitecaps | — | 37 | 36 | 6 | 2 | 1 | 1 | 0 | 21 | 0 | 0 | 0 | 167 | 167 | 361 | 528 | 194 | 289 | 57 | 0 | 185 | 11 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | FCL Tigers East | — | 115 | 103 | 16 | 4 | 1 | 3 | 7 | 45 | 4 | 3 | 2 | 155 | 237 | 301 | 538 | 146 | 204 | 39 | 6 | 219 | 34 | — | — | — | — | — | — |
| 2019 | 20 | A+ MLE | Lakeland Flying Tigers | — | 80 | 77 | 11 | 3 | 1 | 0 | 1 | 28 | 1 | 1 | 0 | 143 | 165 | 208 | 372 | 65 | 211 | 35 | 1 | 156 | -8 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | West Michigan Whitecaps | — | 420 | 394 | 90 | 15 | 3 | 9 | 11 | 111 | 6 | 6 | 3 | 228 | 260 | 350 | 611 | 122 | 278 | 26 | 3 | 262 | 63 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | West Michigan Whitecaps | — | 76 | 70 | 7 | 2 | 1 | 1 | 4 | 51 | 0 | 0 | 1 | 100 | 149 | 200 | 349 | 100 | 252 | 67 | 5 | 138 | -20 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | Lakeland Flying Tigers | — | 134 | 125 | 12 | 1 | 0 | 0 | 7 | 79 | 1 | 3 | 1 | 96 | 150 | 104 | 254 | 8 | 268 | 59 | 5 | 129 | -27 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | West Michigan Whitecaps | — | 106 | 96 | 11 | 2 | 0 | 5 | 6 | 60 | 3 | 1 | 0 | 115 | 190 | 292 | 482 | 177 | 183 | 57 | 6 | 210 | 28 | — | — | — | — | — | — |
| 2016 | 17 | INTL MLE | Perth Heat | — | 143 | 136 | 33 | 5 | 1 | 3 | 3 | 39 | 2 | 6 | 2 | 243 | 270 | 360 | 630 | 118 | 316 | 27 | 2 | — | — | — | — | — | — | — | — |
| 2016 | 17 | INTL RAW | Perth Heat | — | 143 | 136 | 33 | 5 | 1 | 3 | 3 | 39 | 2 | 6 | 2 | 243 | 270 | 360 | 630 | 118 | 316 | 27 | 2 | 277 | 73 | — | — | — | — | — | — |
| 2017 | 18 | INTL MLE | 2 teams | — | 252 | 233 | 32 | 8 | 1 | 1 | 9 | 102 | 7 | 2 | 0 | 137 | 193 | 193 | 386 | 56 | 233 | 40 | 4 | 184 | 11 | — | — | — | — | — | — |
| 2017 | 18 | INTL RAW | 2 teams | — | 252 | 225 | 60 | 16 | 3 | 6 | 17 | 66 | 7 | 2 | 0 | 267 | 337 | 444 | 782 | 178 | 346 | 26 | 7 | 343 | 11 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | 3 teams | — | 191 | 173 | 25 | 7 | 2 | 4 | 9 | 82 | 6 | 5 | 2 | 145 | 213 | 277 | 490 | 133 | 233 | 43 | 5 | 211 | 29 | — | — | — | — | — | — |
| 2018 | 19 | ROK RAW | 3 teams | — | 191 | 169 | 40 | 9 | 2 | 7 | 13 | 56 | 6 | 5 | 2 | 237 | 314 | 438 | 752 | 201 | 303 | 29 | 7 | 328 | 29 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | 3 teams | — | 619 | 583 | 125 | 23 | 4 | 11 | 15 | 173 | 9 | 11 | 3 | 214 | 245 | 324 | 570 | 110 | 279 | 28 | 2 | 245 | 52 | — | — | — | — | — | — |
| 2019 | 20 | A RAW | 3 teams | — | 619 | 565 | 143 | 29 | 4 | 16 | 28 | 132 | 9 | 11 | 3 | 253 | 297 | 404 | 700 | 150 | 297 | 21 | 5 | 304 | 52 | — | — | — | — | — | — |
| 2020 | 21 | INTL MLE | Perth Heat | — | 60 | 57 | 11 | 2 | 0 | 0 | 1 | 18 | 1 | 0 | 0 | 193 | 220 | 228 | 448 | 35 | 275 | 30 | 2 | — | — | — | — | — | — | — | — |
| 2020 | 21 | INTL RAW | Perth Heat | — | 60 | 57 | 11 | 2 | 0 | 0 | 1 | 18 | 1 | 0 | 0 | 193 | 220 | 228 | 448 | 35 | 275 | 30 | 2 | 202 | 23 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | 2 teams | — | 210 | 195 | 19 | 3 | 1 | 1 | 11 | 129 | 1 | 3 | 2 | 97 | 150 | 138 | 288 | 41 | 269 | 61 | 5 | 132 | -24 | — | — | — | — | — | — |
| 2021 | 22 | A RAW | 2 teams | — | 210 | 190 | 30 | 5 | 2 | 1 | 16 | 93 | 1 | 3 | 2 | 158 | 227 | 221 | 448 | 63 | 296 | 44 | 8 | 207 | -24 | — | — | — | — | — | — |
| 2022 | 23 | INTL MLE | 2 teams | — | 267 | 247 | 28 | 5 | 0 | 13 | 14 | 151 | 3 | 5 | 0 | 113 | 170 | 291 | 462 | 178 | 174 | 57 | 5 | 210 | 28 | — | — | — | — | — | — |
| 2022 | 23 | INTL RAW | 2 teams | — | 267 | 239 | 67 | 13 | 3 | 15 | 22 | 84 | 3 | 5 | 0 | 280 | 348 | 548 | 897 | 268 | 364 | 31 | 8 | 385 | 28 | — | — | — | — | — | — |
| 2023 | 24 | INTL MLE | Perth Heat | — | 83 | 74 | 22 | 4 | 0 | 4 | 7 | 25 | 1 | 1 | 0 | 297 | 366 | 514 | 879 | 216 | 391 | 30 | 8 | — | — | — | — | — | — | — | — |
| 2023 | 24 | INTL RAW | Perth Heat | — | 83 | 74 | 22 | 4 | 0 | 4 | 7 | 25 | 1 | 1 | 0 | 297 | 366 | 514 | 879 | 216 | 391 | 30 | 8 | 383 | 145 | — | — | — | — | — | — |
| 2024 | 25 | INTL MLE | Perth Heat | — | 140 | 131 | 37 | 6 | 0 | 8 | 4 | 41 | 4 | 0 | 0 | 282 | 321 | 511 | 833 | 229 | 354 | 29 | 3 | — | — | — | — | — | — | — | — |
| 2024 | 25 | INTL RAW | Perth Heat | — | 140 | 131 | 37 | 6 | 0 | 8 | 4 | 41 | 4 | 0 | 0 | 282 | 321 | 511 | 833 | 229 | 354 | 29 | 3 | 364 | 132 | — | — | — | — | — | — |
| 2017 | 18 | INTL MLE | 2 teams | — | 252 | 234 | 32 | 8 | 1 | 1 | 9 | 102 | 7 | 2 | 0 | 137 | 193 | 192 | 385 | 56 | 237 | 40 | 4 | 184 | 11 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | 3 teams | — | 191 | 174 | 25 | 7 | 2 | 4 | 9 | 82 | 6 | 5 | 2 | 144 | 213 | 276 | 489 | 132 | 225 | 43 | 5 | 211 | 29 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | 3 teams | — | 619 | 590 | 125 | 23 | 4 | 11 | 15 | 173 | 9 | 11 | 3 | 212 | 245 | 320 | 566 | 108 | 267 | 28 | 2 | 245 | 52 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | 2 teams | — | 210 | 196 | 19 | 3 | 1 | 1 | 11 | 129 | 1 | 3 | 2 | 97 | 150 | 138 | 288 | 41 | 262 | 61 | 5 | 132 | -24 | — | — | — | — | — | — |
| 2022 | 23 | INTL MLE | 2 teams | — | 267 | 248 | 28 | 5 | 0 | 13 | 14 | 151 | 3 | 5 | 0 | 113 | 170 | 290 | 461 | 177 | 183 | 57 | 5 | 210 | 28 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1965 | 1829 | 332 | 63 | 9 | 45 | 73 | 760 | 34 | 33 | 9 | 182 | 227 | 300 | 526 | 118 | 274 | 39 | 4 | 164 | -3 | -241 | +3 | +0 | -21 | +43 | -22.0 | |
| / 162G | — | MLE | — | 650 | 605 | 110 | 21 | 3 | 15 | 24 | 251 | 11 | 11 | 3 | 182 | 226 | 301 | 527 | 119 | 274 | 39 | 4 | 164 | -3 | -80 | +1 | +0 | -7 | +14 | -7.3 | |
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 A+West Michigan Whitecaps · 106 PAwOBA .293 → .210 (−83)K% 42.5% → 56.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 42.45% | ÷0.956 | ×1.270 | — | — | 56.37% |
| BB% (unintentional) /PA | 7.55% | ÷1.024 | ×0.710 | — | ×0.988 | 5.17% |
| HBP% /PA | 2.83% | — | ×0.790 | — | ×0.988 | 2.21% |
| Singles /BIP | 12.24% | ÷1.031 | ×0.920 | ×0.999 | ×0.988 | 10.78% |
| Doubles /BIP | 6.12% | ÷0.876 | ×0.810 | ×0.999 | ×0.988 | 5.59% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.850 | ×0.999 | ×0.988 | 0.00% |
| Home runs /BIP | 14.29% | ÷0.847 | ×0.800 | — | ×0.988 | 13.32% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 69, 1B 106, 2B 75, 3B 130, K 91, BB 105 — 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 ×0.999.
Result: wOBA .293 → .210; ISO .255 → .186; BABIP .209 → .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).
2021 ALakeland Flying Tigers · 134 PAwOBA .192 → .129 (−63)K% 42.5% → 58.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 42.54% | ÷0.988 | ×1.360 | — | — | 58.58% |
| BB% (unintentional) /PA | 8.21% | ÷1.017 | ×0.690 | — | ×0.990 | 5.52% |
| HBP% /PA | 0.75% | — | ×0.780 | — | ×0.990 | 0.58% |
| Singles /BIP | 26.56% | ÷1.002 | ×0.920 | ×1.002 | ×0.990 | 24.19% |
| Doubles /BIP | 3.12% | ÷0.992 | ×0.830 | ×1.002 | ×0.990 | 2.59% |
| Triples /BIP | 0.00% | ÷1.016 | ×0.910 | ×1.002 | ×0.990 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.937 | ×0.800 | — | ×0.990 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 100, 2B 98, 3B 103, K 98, BB 103 — 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 ×1.002.
Result: wOBA .192 → .129; ISO .017 → .010; BABIP .297 → .268. 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+West Michigan Whitecaps · 76 PAwOBA .226 → .138 (−88)K% 47.4% → 66.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 47.37% | ÷0.959 | ×1.350 | — | — | 66.67% |
| BB% (unintentional) /PA | 6.58% | ÷1.000 | ×0.710 | — | ×0.998 | 4.66% |
| HBP% /PA | 0.00% | — | ×0.810 | — | ×0.998 | 0.00% |
| Singles /BIP | 15.15% | ÷1.001 | ×0.910 | — | ×0.998 | 13.75% |
| Doubles /BIP | 9.09% | ÷0.935 | ×0.830 | — | ×0.998 | 8.05% |
| Triples /BIP | 6.06% | ÷1.009 | ×0.820 | — | ×0.998 | 4.92% |
| Home runs /BIP | 3.03% | ÷0.841 | ×0.830 | — | ×0.998 | 2.98% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 68, 1B 100, 2B 87, 3B 102, K 92, BB 100 — 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).
Result: wOBA .226 → .138; ISO .145 → .085; BABIP .294 → .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).
2019 AWest Michigan Whitecaps · 420 PAwOBA .307 → .262 (−44)K% 20.7% → 26.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.71% | ÷1.063 | ×1.360 | — | — | 26.51% |
| BB% (unintentional) /PA | 3.81% | ÷0.974 | ×0.690 | — | ×1.015 | 2.74% |
| HBP% /PA | 1.43% | — | ×0.780 | — | ×1.015 | 1.13% |
| Singles /BIP | 24.92% | ÷1.025 | ×0.920 | ×0.950 | ×1.015 | 21.57% |
| Doubles /BIP | 5.72% | ÷0.885 | ×0.830 | ×0.950 | ×1.015 | 5.17% |
| Triples /BIP | 1.01% | ÷0.904 | ×0.910 | ×0.950 | ×1.015 | 0.98% |
| Home runs /BIP | 3.37% | ÷0.895 | ×0.800 | — | ×1.015 | 3.05% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 105, 2B 77, 3B 81, K 113, BB 95 — 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 ×0.950.
Result: wOBA .307 → .262; ISO .138 → .124; BABIP .319 → .278. 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 A+Lakeland Flying Tigers · 80 PAwOBA .201 → .156 (−45)K% 25.0% → 35.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷1.005 | ×1.420 | — | — | 35.33% |
| BB% (unintentional) /PA | 1.25% | ÷0.958 | ×0.750 | — | ×1.027 | 1.01% |
| HBP% /PA | 1.25% | — | ×0.930 | — | ×1.027 | 1.19% |
| Singles /BIP | 15.79% | ÷1.026 | ×0.920 | ×0.950 | ×1.027 | 13.82% |
| Doubles /BIP | 7.02% | ÷1.037 | ×0.960 | ×0.950 | ×1.027 | 6.34% |
| Triples /BIP | 1.75% | ÷1.004 | ×0.810 | ×0.950 | ×1.027 | 1.38% |
| Home runs /BIP | 0.00% | ÷0.963 | ×0.880 | — | ×1.027 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 93, 1B 105, 2B 107, 3B 101, K 101, BB 92 — 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 ×0.950.
Result: wOBA .201 → .156; ISO .078 → .059; BABIP .241 → .211. 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 ROKFCL Tigers East · 115 PAwOBA .332 → .219 (−113)K% 27.0% → 38.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.96% | ÷1.000 | ×1.440 | — | — | 38.82% |
| BB% (unintentional) /PA | 10.43% | ÷1.000 | ×0.620 | — | ×0.995 | 6.44% |
| HBP% /PA | 3.48% | — | ×0.720 | — | ×0.995 | 2.49% |
| Singles /BIP | 16.42% | ÷1.000 | ×0.820 | ×0.950 | ×0.995 | 12.73% |
| Doubles /BIP | 8.96% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 6.09% |
| Triples /BIP | 1.49% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 1.02% |
| Home runs /BIP | 5.97% | ÷1.000 | ×0.780 | — | ×0.995 | 4.63% |
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 .332 → .219; ISO .204 → .135; BABIP .281 → .204. 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 AWest Michigan Whitecaps · 37 PAwOBA .276 → .185 (−91)K% 40.5% → 56.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 40.54% | ÷0.971 | ×1.360 | — | — | 56.77% |
| BB% (unintentional) /PA | 0.00% | ÷0.988 | ×0.690 | — | ×1.030 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.030 | 0.00% |
| Singles /BIP | 14.29% | ÷1.017 | ×0.920 | — | ×1.030 | 13.30% |
| Doubles /BIP | 14.29% | ÷1.024 | ×0.830 | — | ×1.030 | 11.93% |
| Triples /BIP | 4.76% | ÷1.045 | ×0.910 | — | ×1.030 | 4.27% |
| Home runs /BIP | 4.76% | ÷0.942 | ×0.800 | — | ×1.030 | 4.16% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 103, 2B 105, 3B 109, K 94, BB 98 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).
Result: wOBA .276 → .185; ISO .222 → .146; BABIP .333 → .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 ROKGCL Tigers West · 124 PAwOBA .283 → .184 (−99)K% 28.2% → 40.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.23% | ÷1.000 | ×1.440 | — | — | 40.65% |
| BB% (unintentional) /PA | 5.65% | ÷1.000 | ×0.620 | — | ×1.008 | 3.53% |
| HBP% /PA | 4.03% | — | ×0.720 | — | ×1.008 | 2.92% |
| Singles /BIP | 21.05% | ÷1.000 | ×0.820 | ×0.950 | ×1.008 | 16.52% |
| Doubles /BIP | 9.21% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 6.35% |
| Triples /BIP | 1.32% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 0.91% |
| Home runs /BIP | 1.32% | ÷1.000 | ×0.780 | — | ×1.008 | 1.03% |
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 .283 → .184; ISO .108 → .067; BABIP .316 → .237. 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 — .