Jonathan Willems
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 20 | ACIN | 123 | .214/.246/.325 | 2 | 3 | 14 | — | .161/.189/.254 |
| 2021 | 22 | AAA/A+CIN | 139 | .214/.277/.310 | 2 | 6 | 18 | — | .162/.211/.224 |
| 2022 | 23 | AA/A+/ACIN | 156 | .160/.224/.278 | 3 | 3 | 1 | — | .124/.179/.207 |
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 | ROK | DSL Reds | — | 199 | 180 | 41 | 14 | 3 | 1 | 9 | 56 | 8 | 5 | 5 | 228 | 294 | 356 | 650 | 128 | 323 | 28 | 5 | 291 | 6 | — | — | — | — | — | — |
| 2017 | 18 | ROK | AZL Reds | — | 69 | 64 | 15 | 3 | 0 | 0 | 2 | 19 | 3 | 7 | 2 | 234 | 290 | 281 | 571 | 47 | 333 | 28 | 3 | 265 | 3 | — | — | — | — | — | — |
| 2018 | 19 | ROK | Billings Mustangs | — | 251 | 236 | 61 | 13 | 4 | 8 | 8 | 57 | 5 | 0 | 3 | 258 | 297 | 449 | 746 | 191 | 308 | 23 | 3 | 325 | 35 | — | — | — | — | — | — |
| 2019 | 20 | A | Dayton Dragons | — | 123 | 117 | 25 | 7 | 0 | 2 | 2 | 30 | 3 | 3 | 1 | 214 | 246 | 325 | 571 | 111 | 267 | 24 | 2 | 254 | 14 | — | — | — | — | — | — |
| 2021 | 22 | AAA | Louisville Bats | — | 31 | 27 | 3 | 1 | 0 | 0 | 2 | 12 | 1 | 0 | 0 | 111 | 200 | 148 | 348 | 37 | 200 | 39 | 6 | 169 | -22 | — | — | — | — | — | — |
| 2021 | 22 | A+ | Dayton Dragons | — | 108 | 99 | 24 | 5 | 0 | 2 | 6 | 37 | 2 | 6 | 2 | 242 | 299 | 354 | 653 | 111 | 361 | 34 | 6 | 293 | 29 | — | — | — | — | — | — |
| 2022 | 23 | AA | Chattanooga Lookouts | — | 19 | 15 | 2 | 0 | 1 | 0 | 1 | 7 | 3 | 0 | 0 | 133 | 316 | 267 | 582 | 133 | 250 | 37 | 5 | 285 | 45 | — | — | — | — | — | — |
| 2022 | 23 | A+ | Dayton Dragons | — | 110 | 104 | 19 | 6 | 0 | 2 | 3 | 35 | 3 | 2 | 0 | 183 | 227 | 298 | 525 | 115 | 254 | 32 | 3 | 237 | 1 | — | — | — | — | — | — |
| 2022 | 23 | A | Daytona Tortugas | — | 27 | 25 | 2 | 0 | 0 | 1 | 2 | 7 | 0 | 1 | 2 | 80 | 148 | 200 | 348 | 120 | 59 | 26 | 7 | 162 | -32 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK MLE | DSL Reds | — | 199 | 183 | 25 | 8 | 2 | 0 | 6 | 68 | 8 | 5 | 5 | 137 | 198 | 202 | 400 | 66 | 205 | 34 | 3 | 177 | 6 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | AZL Reds | — | 69 | 65 | 10 | 2 | 0 | 0 | 1 | 27 | 3 | 7 | 2 | 154 | 203 | 185 | 388 | 31 | 262 | 39 | 1 | 173 | 3 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | Billings Mustangs | — | 251 | 239 | 44 | 9 | 3 | 5 | 5 | 82 | 5 | 0 | 3 | 184 | 217 | 310 | 526 | 126 | 243 | 33 | 2 | 220 | 35 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | Dayton Dragons | — | 123 | 118 | 19 | 5 | 0 | 2 | 1 | 43 | 3 | 3 | 1 | 161 | 189 | 254 | 443 | 93 | 231 | 35 | 1 | 189 | 14 | — | — | — | — | — | — |
| 2021 | 22 | AAA MLE | Louisville Bats | — | 31 | 28 | 3 | 1 | 0 | 0 | 1 | 15 | 1 | 0 | 0 | 107 | 167 | 143 | 310 | 36 | 192 | 48 | 3 | 136 | -22 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | Dayton Dragons | — | 108 | 101 | 18 | 4 | 0 | 1 | 4 | 51 | 2 | 6 | 2 | 178 | 224 | 248 | 472 | 69 | 318 | 47 | 4 | 211 | 29 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | Chattanooga Lookouts | — | 19 | 15 | 2 | 0 | 1 | 0 | 1 | 8 | 3 | 0 | 0 | 133 | 316 | 267 | 582 | 133 | 238 | 42 | 5 | 235 | 45 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | Dayton Dragons | — | 110 | 105 | 14 | 4 | 0 | 1 | 2 | 42 | 3 | 2 | 0 | 133 | 173 | 200 | 373 | 67 | 210 | 38 | 2 | 170 | 1 | — | — | — | — | — | — |
| 2022 | 23 | A MLE | Daytona Tortugas | — | 27 | 26 | 2 | 0 | 0 | 1 | 1 | 9 | 0 | 1 | 2 | 77 | 111 | 192 | 303 | 115 | 52 | 33 | 4 | 121 | -32 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Reds | — | 199 | 183 | 25 | 8 | 2 | 0 | 6 | 68 | 8 | 5 | 5 | 137 | 198 | 202 | 400 | 66 | 216 | 34 | 3 | 177 | 6 | — | — | — | — | — | — |
| 2016 | 17 | ROK RAW | DSL Reds | — | 199 | 180 | 41 | 14 | 3 | 1 | 9 | 56 | 8 | 5 | 5 | 228 | 294 | 356 | 650 | 128 | 323 | 28 | 5 | 291 | 6 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | AZL Reds | — | 69 | 65 | 10 | 2 | 0 | 0 | 1 | 27 | 3 | 7 | 2 | 154 | 203 | 185 | 388 | 31 | 263 | 39 | 1 | 173 | 3 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | AZL Reds | — | 69 | 64 | 15 | 3 | 0 | 0 | 2 | 19 | 3 | 7 | 2 | 234 | 290 | 281 | 571 | 47 | 333 | 28 | 3 | 265 | 3 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | Billings Mustangs | — | 251 | 239 | 44 | 9 | 3 | 5 | 5 | 82 | 5 | 0 | 3 | 184 | 217 | 310 | 526 | 126 | 255 | 33 | 2 | 220 | 35 | — | — | — | — | — | — |
| 2018 | 19 | ROK RAW | Billings Mustangs | — | 251 | 236 | 61 | 13 | 4 | 8 | 8 | 57 | 5 | 0 | 3 | 258 | 297 | 449 | 746 | 191 | 308 | 23 | 3 | 325 | 35 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | Dayton Dragons | — | 123 | 118 | 19 | 5 | 0 | 2 | 1 | 43 | 3 | 3 | 1 | 161 | 189 | 254 | 443 | 93 | 230 | 35 | 1 | 189 | 14 | — | — | — | — | — | — |
| 2019 | 20 | A RAW | Dayton Dragons | — | 123 | 117 | 25 | 7 | 0 | 2 | 2 | 30 | 3 | 3 | 1 | 214 | 246 | 325 | 571 | 111 | 267 | 24 | 2 | 254 | 14 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 139 | 128 | 19 | 4 | 0 | 1 | 6 | 66 | 3 | 6 | 2 | 148 | 204 | 203 | 408 | 55 | 290 | 47 | 4 | 194 | 18 | — | — | — | — | — | — |
| 2021 | 22 | A+ RAW | 2 teams | — | 139 | 126 | 27 | 6 | 0 | 2 | 8 | 49 | 3 | 6 | 2 | 214 | 277 | 310 | 587 | 95 | 329 | 35 | 6 | 265 | 18 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | 3 teams | — | 156 | 146 | 18 | 4 | 1 | 2 | 4 | 60 | 6 | 3 | 2 | 123 | 179 | 205 | 385 | 82 | 190 | 38 | 3 | 169 | 1 | — | — | — | — | — | — |
| 2022 | 23 | A+ RAW | 3 teams | — | 156 | 144 | 23 | 6 | 1 | 3 | 6 | 49 | 6 | 3 | 2 | 160 | 224 | 278 | 502 | 118 | 217 | 31 | 4 | 230 | 1 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Reds | — | 199 | 183 | 25 | 8 | 2 | 0 | 6 | 68 | 8 | 5 | 5 | 137 | 198 | 202 | 400 | 66 | 205 | 34 | 3 | 177 | 6 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | AZL Reds | — | 69 | 65 | 10 | 2 | 0 | 0 | 1 | 27 | 3 | 7 | 2 | 154 | 203 | 185 | 388 | 31 | 262 | 39 | 1 | 173 | 3 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | Billings Mustangs | — | 251 | 239 | 44 | 9 | 3 | 5 | 5 | 82 | 5 | 0 | 3 | 184 | 217 | 310 | 526 | 126 | 243 | 33 | 2 | 220 | 35 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | Dayton Dragons | — | 123 | 118 | 19 | 5 | 0 | 2 | 1 | 43 | 3 | 3 | 1 | 161 | 189 | 254 | 443 | 93 | 231 | 35 | 1 | 189 | 14 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 139 | 129 | 19 | 4 | 0 | 1 | 6 | 66 | 3 | 6 | 2 | 147 | 204 | 202 | 406 | 54 | 290 | 47 | 4 | 194 | 18 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | 3 teams | — | 156 | 145 | 18 | 4 | 1 | 2 | 4 | 60 | 6 | 3 | 2 | 124 | 179 | 207 | 386 | 83 | 186 | 38 | 3 | 169 | 1 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 937 | 879 | 135 | 32 | 6 | 10 | 23 | 346 | 28 | 24 | 15 | 154 | 200 | 238 | 438 | 84 | 237 | 37 | 2 | 191 | 15 | -94 | -1 | +0 | +3 | +20 | -7.3 | |
| / 162G | — | MLE | — | 650 | 610 | 93 | 22 | 4 | 7 | 16 | 240 | 19 | 17 | 10 | 152 | 198 | 236 | 435 | 84 | 235 | 37 | 2 | 191 | 15 | -65 | -1 | +0 | +2 | +14 | -5.1 | |
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+Dayton Dragons · 110 PAwOBA .231 → .170 (−61)K% 31.8% → 38.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.82% | ÷1.047 | ×1.270 | — | — | 38.58% |
| BB% (unintentional) /PA | 2.73% | ÷0.958 | ×0.710 | — | ×0.988 | 2.00% |
| HBP% /PA | 2.73% | — | ×0.790 | — | ×0.988 | 2.13% |
| Singles /BIP | 15.94% | ÷1.002 | ×0.920 | ×1.016 | ×0.988 | 14.69% |
| Doubles /BIP | 8.70% | ÷1.217 | ×0.810 | ×1.016 | ×0.988 | 5.81% |
| Triples /BIP | 0.00% | ÷1.028 | ×0.850 | ×1.016 | ×0.988 | 0.00% |
| Home runs /BIP | 2.90% | ÷1.058 | ×0.800 | — | ×0.988 | 2.17% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 112, 1B 100, 2B 143, 3B 106, K 109, BB 92 — 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 ×1.016.
Result: wOBA .231 → .170; ISO .115 → .075; BABIP .254 → .210. 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 ADaytona Tortugas · 27 PAwOBA .158 → .121 (−37)K% 25.9% → 34.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.93% | ÷1.021 | ×1.360 | — | — | 34.55% |
| BB% (unintentional) /PA | 7.41% | ÷0.986 | ×0.690 | — | ×0.980 | 5.08% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.980 | 0.00% |
| Singles /BIP | 5.56% | ÷1.016 | ×0.920 | — | ×0.980 | 4.93% |
| Doubles /BIP | 0.00% | ÷1.028 | ×0.830 | — | ×0.980 | 0.00% |
| Triples /BIP | 0.00% | ÷1.016 | ×0.910 | — | ×0.980 | 0.00% |
| Home runs /BIP | 5.56% | ÷0.883 | ×0.800 | — | ×0.980 | 4.93% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 77, 1B 103, 2B 106, 3B 103, K 104, BB 97 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).
Result: wOBA .158 → .121; ISO .120 → .097; BABIP .059 → .052. 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 AAChattanooga Lookouts · 19 PAwOBA .279 → .235 (−45)K% 36.8% → 44.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 36.84% | ÷1.010 | ×1.220 | — | — | 44.50% |
| BB% (unintentional) /PA | 5.26% | ÷1.019 | ×0.680 | — | ×1.012 | 3.55% |
| HBP% /PA | 15.79% | — | ×0.840 | — | ×1.012 | 13.42% |
| Singles /BIP | 12.50% | ÷1.002 | ×0.920 | — | ×1.012 | 11.61% |
| Doubles /BIP | 0.00% | ÷1.084 | ×0.910 | — | ×1.012 | 0.00% |
| Triples /BIP | 12.50% | ÷0.912 | ×0.880 | — | ×1.012 | 12.21% |
| Home runs /BIP | 0.00% | ÷0.990 | ×0.800 | — | ×1.012 | 0.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 98, 1B 100, 2B 117, 3B 82, K 102, BB 104 — 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).
Result: wOBA .279 → .235; ISO .133 → .119; BABIP .250 → .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).
2021 A+Dayton Dragons · 108 PAwOBA .288 → .211 (−77)K% 34.3% → 46.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.26% | ÷0.986 | ×1.350 | — | — | 46.90% |
| BB% (unintentional) /PA | 5.56% | ÷1.008 | ×0.710 | — | ×0.998 | 3.91% |
| HBP% /PA | 1.85% | — | ×0.810 | — | ×0.998 | 1.50% |
| Singles /BIP | 27.42% | ÷1.061 | ×0.910 | ×1.049 | ×0.998 | 24.64% |
| Doubles /BIP | 8.06% | ÷1.011 | ×0.830 | ×1.049 | ×0.998 | 6.93% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.820 | ×1.049 | ×0.998 | 0.00% |
| Home runs /BIP | 3.23% | ÷0.960 | ×0.830 | — | ×0.998 | 2.78% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 112, 2B 102, 3B 80, K 97, BB 102 — 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 ×1.049.
Result: wOBA .288 → .211; ISO .111 → .080; BABIP .361 → .318. 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 AAALouisville Bats · 31 PAwOBA .165 → .136 (−29)K% 38.7% → 49.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 38.71% | ÷0.949 | ×1.200 | — | — | 48.95% |
| BB% (unintentional) /PA | 6.45% | ÷1.099 | ×0.690 | — | ×1.050 | 4.25% |
| HBP% /PA | 3.23% | — | ×0.940 | — | ×1.050 | 3.18% |
| Singles /BIP | 13.33% | ÷0.994 | ×0.930 | — | ×1.050 | 13.10% |
| Doubles /BIP | 6.67% | ÷0.945 | ×0.830 | — | ×1.050 | 6.15% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.920 | — | ×1.050 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.088 | ×0.700 | — | ×1.050 | 0.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 99, 2B 89, 3B 80, K 90, BB 120 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).
Result: wOBA .165 → .136; ISO .037 → .031; BABIP .200 → .192. 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 ADayton Dragons · 123 PAwOBA .249 → .189 (−60)K% 24.4% → 34.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.39% | ÷0.953 | ×1.360 | — | — | 34.81% |
| BB% (unintentional) /PA | 1.63% | ÷1.044 | ×0.690 | — | ×1.015 | 1.09% |
| HBP% /PA | 2.44% | — | ×0.780 | — | ×1.015 | 1.93% |
| Singles /BIP | 18.39% | ÷1.033 | ×0.920 | ×0.967 | ×1.015 | 16.09% |
| Doubles /BIP | 8.05% | ÷0.950 | ×0.830 | ×0.967 | ×1.015 | 6.90% |
| Triples /BIP | 0.00% | ÷1.024 | ×0.910 | ×0.967 | ×1.015 | 0.00% |
| Home runs /BIP | 2.30% | ÷0.950 | ×0.800 | — | ×1.015 | 1.96% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 107, 2B 90, 3B 105, K 91, BB 109 — 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 ×0.967.
Result: wOBA .249 → .189; ISO .111 → .084; BABIP .267 → .231. 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 ROKBillings Mustangs · 251 PAwOBA .317 → .220 (−97)K% 22.7% → 32.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.71% | ÷1.000 | ×1.440 | — | — | 32.70% |
| BB% (unintentional) /PA | 3.19% | ÷1.000 | ×0.610 | — | ×0.995 | 1.93% |
| HBP% /PA | 1.99% | — | ×0.720 | — | ×0.995 | 1.43% |
| Singles /BIP | 20.11% | ÷1.000 | ×0.820 | ×1.020 | ×0.995 | 16.73% |
| Doubles /BIP | 7.26% | ÷1.000 | ×0.720 | ×1.020 | ×0.995 | 5.31% |
| Triples /BIP | 2.23% | ÷1.000 | ×0.720 | ×1.020 | ×0.995 | 1.63% |
| Home runs /BIP | 4.47% | ÷1.000 | ×0.750 | — | ×0.995 | 3.34% |
Factors used: league row PIO. 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 ×1.020.
Result: wOBA .317 → .220; ISO .191 → .126; BABIP .308 → .243. 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 ROKAZL Reds · 69 PAwOBA .259 → .173 (−86)K% 27.5% → 39.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.54% | ÷1.000 | ×1.440 | — | — | 39.65% |
| BB% (unintentional) /PA | 2.90% | ÷1.000 | ×0.620 | — | ×1.008 | 1.81% |
| HBP% /PA | 4.35% | — | ×0.720 | — | ×1.008 | 3.15% |
| Singles /BIP | 26.67% | ÷1.000 | ×0.820 | ×0.976 | ×1.008 | 21.49% |
| Doubles /BIP | 6.67% | ÷1.000 | ×0.720 | ×0.976 | ×1.008 | 4.72% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×0.976 | ×1.008 | 0.00% |
| 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 ×0.976.
Result: wOBA .259 → .173; ISO .047 → .028; BABIP .333 → .262. 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).