Alvaro Gonzalez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 21 | A/ROKDET | 173 | .185/.308/.315 | 3 | 0 | 21 | — | .131/.227/.216 |
| 2023 | 22 | ADET | 75 | .153/.315/.254 | 2 | 1 | 19 | — | .109/.233/.156 |
| 2024 | 23 | AAA/ADET | 126 | .157/.278/.231 | 1 | 2 | 9 | — | .134/.222/.206 |
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) | |||||||||||||||||||||||||||||||
| 2018 | 17 | ROK | DSL Tigers 1 | — | 194 | 163 | 40 | 4 | 6 | 1 | 23 | 36 | 5 | 8 | 9 | 245 | 356 | 362 | 718 | 117 | 305 | 19 | 12 | 324 | 32 | — | — | — | — | — | — |
| 2019 | 18 | ROK | GCL Tigers West | — | 163 | 137 | 30 | 8 | 0 | 1 | 18 | 28 | 4 | 5 | 2 | 219 | 327 | 299 | 626 | 80 | 259 | 17 | 11 | 287 | 26 | — | — | — | — | — | — |
| 2021 | 20 | A | Lakeland Flying Tigers | — | 246 | 205 | 41 | 7 | 0 | 2 | 30 | 61 | 9 | 2 | 3 | 200 | 328 | 263 | 591 | 63 | 271 | 25 | 12 | 283 | 36 | — | — | — | — | — | — |
| 2022 | 21 | A | Lakeland Flying Tigers | — | 144 | 123 | 23 | 7 | 0 | 3 | 15 | 43 | 5 | 0 | 1 | 187 | 301 | 317 | 618 | 130 | 256 | 30 | 10 | 286 | 23 | — | — | — | — | — | — |
| 2022 | 21 | ROK | FCL Tigers | — | 29 | 23 | 4 | 3 | 0 | 0 | 5 | 10 | 1 | 0 | 0 | 174 | 345 | 304 | 649 | 130 | 308 | 34 | 17 | 310 | 13 | — | — | — | — | — | — |
| 2023 | 22 | A | Lakeland Flying Tigers | — | 75 | 59 | 9 | 0 | 0 | 2 | 12 | 22 | 2 | 1 | 0 | 153 | 315 | 254 | 569 | 102 | 194 | 29 | 16 | 271 | 19 | — | — | — | — | — | — |
| 2024 | 23 | AAA | Toledo Mud Hens | — | 34 | 28 | 7 | 2 | 1 | 0 | 5 | 12 | 1 | 0 | 0 | 250 | 382 | 393 | 775 | 143 | 438 | 35 | 15 | 354 | 76 | — | — | — | — | — | — |
| 2024 | 23 | A | Lakeland Flying Tigers | — | 92 | 80 | 10 | 1 | 0 | 1 | 10 | 23 | 2 | 2 | 0 | 125 | 239 | 175 | 414 | 50 | 161 | 25 | 11 | 207 | -16 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 17 | ROK MLE | DSL Tigers 1 | — | 194 | 170 | 26 | 2 | 4 | 0 | 16 | 44 | 5 | 8 | 9 | 153 | 246 | 212 | 458 | 59 | 200 | 23 | 8 | 215 | 32 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | GCL Tigers West | — | 163 | 144 | 22 | 5 | 0 | 1 | 11 | 40 | 4 | 5 | 2 | 153 | 233 | 208 | 441 | 56 | 196 | 25 | 7 | 206 | 26 | — | — | — | — | — | — |
| 2021 | 20 | A MLE | Lakeland Flying Tigers | — | 246 | 214 | 36 | 6 | 0 | 2 | 21 | 84 | 9 | 2 | 3 | 168 | 270 | 224 | 495 | 56 | 247 | 34 | 9 | 221 | 36 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | Lakeland Flying Tigers | — | 144 | 128 | 17 | 5 | 0 | 2 | 10 | 60 | 5 | 0 | 1 | 133 | 224 | 219 | 443 | 86 | 223 | 42 | 7 | 202 | 23 | — | — | — | — | — | — |
| 2022 | 21 | ROK MLE | FCL Tigers | — | 29 | 25 | 3 | 2 | 0 | 0 | 3 | 15 | 1 | 0 | 0 | 120 | 241 | 200 | 441 | 80 | 233 | 52 | 10 | 187 | 13 | — | — | — | — | — | — |
| 2023 | 22 | A MLE | Lakeland Flying Tigers | — | 75 | 64 | 7 | 0 | 0 | 1 | 8 | 31 | 2 | 1 | 0 | 109 | 233 | 156 | 389 | 47 | 185 | 41 | 11 | 196 | 19 | — | — | — | — | — | — |
| 2024 | 23 | AAA MLE | Toledo Mud Hens | — | 34 | 29 | 6 | 2 | 1 | 0 | 4 | 14 | 1 | 0 | 0 | 207 | 324 | 345 | 668 | 138 | 381 | 41 | 12 | 280 | 76 | — | — | — | — | — | — |
| 2024 | 23 | A MLE | Lakeland Flying Tigers | — | 92 | 84 | 9 | 1 | 0 | 1 | 6 | 30 | 2 | 2 | 0 | 107 | 185 | 155 | 340 | 48 | 134 | 33 | 7 | 145 | -16 | — | — | — | — | — | — |
| 2018 | 17 | ROK MLE | DSL Tigers 1 | — | 194 | 170 | 26 | 2 | 4 | 0 | 16 | 44 | 5 | 8 | 9 | 153 | 246 | 212 | 458 | 59 | 203 | 23 | 8 | 215 | 32 | — | — | — | — | — | — |
| 2018 | 17 | ROK RAW | DSL Tigers 1 | — | 194 | 163 | 40 | 4 | 6 | 1 | 23 | 36 | 5 | 8 | 9 | 245 | 356 | 362 | 718 | 117 | 305 | 19 | 12 | 324 | 32 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | GCL Tigers West | — | 163 | 144 | 22 | 5 | 0 | 1 | 11 | 40 | 4 | 5 | 2 | 153 | 233 | 208 | 441 | 56 | 196 | 25 | 7 | 206 | 26 | — | — | — | — | — | — |
| 2019 | 18 | ROK RAW | GCL Tigers West | — | 163 | 137 | 30 | 8 | 0 | 1 | 18 | 28 | 4 | 5 | 2 | 219 | 327 | 299 | 626 | 80 | 259 | 17 | 11 | 287 | 26 | — | — | — | — | — | — |
| 2021 | 20 | A MLE | Lakeland Flying Tigers | — | 246 | 214 | 36 | 6 | 0 | 2 | 21 | 84 | 9 | 2 | 3 | 168 | 270 | 224 | 495 | 56 | 262 | 34 | 9 | 221 | 36 | — | — | — | — | — | — |
| 2021 | 20 | A RAW | Lakeland Flying Tigers | — | 246 | 205 | 41 | 7 | 0 | 2 | 30 | 61 | 9 | 2 | 3 | 200 | 328 | 263 | 591 | 63 | 271 | 25 | 12 | 283 | 36 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | 2 teams | — | 173 | 153 | 20 | 7 | 0 | 2 | 13 | 74 | 6 | 0 | 1 | 131 | 227 | 216 | 442 | 85 | 231 | 43 | 8 | 199 | 21 | — | — | — | — | — | — |
| 2022 | 21 | A RAW | 2 teams | — | 173 | 146 | 27 | 10 | 0 | 3 | 20 | 53 | 6 | 0 | 1 | 185 | 308 | 315 | 623 | 130 | 264 | 31 | 12 | 290 | 21 | — | — | — | — | — | — |
| 2023 | 22 | A MLE | Lakeland Flying Tigers | — | 75 | 63 | 7 | 0 | 0 | 1 | 8 | 31 | 2 | 1 | 0 | 111 | 233 | 159 | 392 | 48 | 188 | 41 | 11 | 196 | 19 | — | — | — | — | — | — |
| 2023 | 22 | A RAW | Lakeland Flying Tigers | — | 75 | 59 | 9 | 0 | 0 | 2 | 12 | 22 | 2 | 1 | 0 | 153 | 315 | 254 | 569 | 102 | 194 | 29 | 16 | 271 | 19 | — | — | — | — | — | — |
| 2024 | 23 | A MLE | 2 teams | — | 126 | 113 | 14 | 2 | 1 | 1 | 10 | 45 | 3 | 2 | 0 | 124 | 214 | 186 | 400 | 62 | 194 | 36 | 8 | 181 | 9 | — | — | — | — | — | — |
| 2024 | 23 | A RAW | 2 teams | — | 126 | 108 | 17 | 3 | 1 | 1 | 15 | 35 | 3 | 2 | 0 | 157 | 278 | 231 | 509 | 74 | 222 | 28 | 12 | 247 | 9 | — | — | — | — | — | — |
| 2018 | 17 | ROK MLE | DSL Tigers 1 | — | 194 | 171 | 26 | 2 | 4 | 0 | 16 | 44 | 5 | 8 | 9 | 152 | 246 | 211 | 457 | 58 | 200 | 23 | 8 | 215 | 32 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | GCL Tigers West | — | 163 | 147 | 22 | 5 | 0 | 1 | 11 | 40 | 4 | 5 | 2 | 150 | 233 | 204 | 437 | 54 | 196 | 25 | 7 | 206 | 26 | — | — | — | — | — | — |
| 2021 | 20 | A MLE | Lakeland Flying Tigers | — | 246 | 214 | 36 | 6 | 0 | 2 | 21 | 84 | 9 | 2 | 3 | 168 | 270 | 224 | 495 | 56 | 247 | 34 | 9 | 221 | 36 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | 2 teams | — | 173 | 152 | 20 | 7 | 0 | 2 | 13 | 74 | 6 | 0 | 1 | 132 | 227 | 217 | 444 | 86 | 225 | 43 | 8 | 199 | 21 | — | — | — | — | — | — |
| 2023 | 22 | A MLE | Lakeland Flying Tigers | — | 75 | 65 | 7 | 0 | 0 | 1 | 8 | 31 | 2 | 1 | 0 | 108 | 233 | 154 | 387 | 46 | 185 | 41 | 11 | 196 | 19 | — | — | — | — | — | — |
| 2024 | 23 | A MLE | 2 teams | — | 126 | 112 | 14 | 2 | 1 | 1 | 10 | 45 | 3 | 2 | 0 | 125 | 214 | 188 | 402 | 62 | 201 | 36 | 8 | 181 | 9 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 23 | A MLE | 2 teams | — | 126 | 112 | 14 | 2 | 1 | 1 | 10 | 45 | 3 | 2 | 0 | 125 | 214 | 188 | 402 | 62 | 201 | 36 | 8 | 181 | 9 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 977 | 857 | 125 | 22 | 5 | 7 | 79 | 318 | 29 | 18 | 15 | 146 | 241 | 208 | 449 | 62 | 218 | 33 | 8 | 206 | 26 | -86 | -2 | +0 | +10 | +21 | -5.8 | |
| / 162G | — | MLE | — | 650 | 570 | 84 | 15 | 3 | 5 | 53 | 212 | 19 | 12 | 10 | 147 | 243 | 211 | 454 | 63 | 219 | 33 | 8 | 206 | 26 | -57 | -2 | +0 | +7 | +14 | -3.9 | |
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.
2024 ALakeland Flying Tigers · 92 PAwOBA .203 → .145 (−58)K% 25.0% → 33.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷1.028 | ×1.360 | — | — | 33.08% |
| BB% (unintentional) /PA | 10.87% | ÷1.061 | ×0.690 | — | ×0.980 | 6.93% |
| HBP% /PA | 2.17% | — | ×0.780 | — | ×0.980 | 1.66% |
| Singles /BIP | 14.04% | ÷0.980 | ×0.920 | ×0.950 | ×0.980 | 12.27% |
| Doubles /BIP | 1.75% | ÷1.351 | ×0.830 | ×0.950 | ×0.980 | 1.00% |
| Triples /BIP | 0.00% | ÷1.106 | ×0.910 | ×0.950 | ×0.980 | 0.00% |
| Home runs /BIP | 1.75% | ÷1.099 | ×0.800 | — | ×0.980 | 1.25% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 96, 2B 170, 3B 121, K 106, BB 112 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .203 → .145; ISO .050 → .032; BABIP .161 → .134. 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).
2024 AAAToledo Mud Hens · 34 PAwOBA .346 → .280 (−65)K% 35.3% → 41.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 35.29% | ÷1.022 | ×1.200 | — | — | 41.46% |
| BB% (unintentional) /PA | 14.71% | ÷1.016 | ×0.690 | — | ×1.048 | 10.47% |
| HBP% /PA | 2.94% | — | ×0.940 | — | ×1.048 | 2.90% |
| Singles /BIP | 25.00% | ÷1.117 | ×0.930 | — | ×1.048 | 21.81% |
| Doubles /BIP | 12.50% | ÷1.049 | ×0.830 | — | ×1.048 | 10.37% |
| Triples /BIP | 6.25% | ÷1.070 | ×0.970 | — | ×1.048 | 5.94% |
| Home runs /BIP | 0.00% | ÷0.792 | ×0.700 | — | ×1.048 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 58, 1B 123, 2B 110, 3B 114, K 104, BB 103 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).
Result: wOBA .346 → .280; ISO .143 → .122; BABIP .438 → .381. 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 ALakeland Flying Tigers · 75 PAwOBA .269 → .196 (−73)K% 29.3% → 40.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.33% | ÷0.975 | ×1.360 | — | — | 40.90% |
| BB% (unintentional) /PA | 16.00% | ÷1.089 | ×0.690 | — | ×0.990 | 10.04% |
| HBP% /PA | 2.67% | — | ×0.780 | — | ×0.990 | 2.06% |
| Singles /BIP | 18.92% | ÷0.957 | ×0.920 | ×1.022 | ×0.990 | 18.40% |
| Doubles /BIP | 0.00% | ÷1.056 | ×0.830 | ×1.022 | ×0.990 | 0.00% |
| Triples /BIP | 0.00% | ÷1.020 | ×0.910 | ×1.022 | ×0.990 | 0.00% |
| Home runs /BIP | 5.41% | ÷1.216 | ×0.800 | — | ×0.990 | 3.52% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 91, 2B 111, 3B 104, K 95, BB 118 — 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 ×1.022.
Result: wOBA .269 → .196; ISO .102 → .063; BABIP .194 → .185. 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 ALakeland Flying Tigers · 144 PAwOBA .281 → .202 (−79)K% 29.9% → 41.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.86% | ÷0.982 | ×1.360 | — | — | 41.36% |
| BB% (unintentional) /PA | 10.42% | ÷0.998 | ×0.690 | — | — | 7.20% |
| HBP% /PA | 3.47% | — | ×0.780 | — | — | 2.71% |
| Singles /BIP | 16.25% | ÷1.009 | ×0.920 | ×0.993 | — | 14.71% |
| Doubles /BIP | 8.75% | ÷0.974 | ×0.830 | ×0.993 | — | 7.40% |
| Triples /BIP | 0.00% | ÷1.039 | ×0.910 | ×0.993 | — | 0.00% |
| Home runs /BIP | 3.75% | ÷1.279 | ×0.800 | — | — | 2.35% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 102, 2B 95, 3B 108, K 96, BB 100 — 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 ×0.993.
Result: wOBA .281 → .202; ISO .130 → .082; BABIP .256 → .223. 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 ROKFCL Tigers · 29 PAwOBA .303 → .187 (−116)K% 34.5% → 51.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.48% | ÷0.973 | ×1.440 | — | — | 51.03% |
| BB% (unintentional) /PA | 17.24% | ÷0.978 | ×0.620 | — | ×0.975 | 10.66% |
| HBP% /PA | 3.45% | — | ×0.720 | — | ×0.975 | 2.42% |
| Singles /BIP | 7.69% | ÷1.018 | ×0.820 | — | ×0.975 | 6.04% |
| Doubles /BIP | 23.08% | ÷0.941 | ×0.720 | — | ×0.975 | 17.21% |
| Triples /BIP | 0.00% | ÷0.990 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.990 | ×0.780 | — | ×0.975 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 104, 2B 88, 3B 98, K 95, BB 96 — 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 .303 → .187; ISO .130 → .078; BABIP .308 → .233. 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 · 246 PAwOBA .279 → .221 (−58)K% 24.8% → 34.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.80% | ÷0.988 | ×1.360 | — | — | 34.15% |
| BB% (unintentional) /PA | 12.20% | ÷1.017 | ×0.690 | — | ×1.015 | 8.40% |
| HBP% /PA | 3.66% | — | ×0.780 | — | ×1.015 | 2.90% |
| Singles /BIP | 22.22% | ÷1.002 | ×0.920 | ×0.999 | ×1.015 | 20.68% |
| Doubles /BIP | 4.86% | ÷0.992 | ×0.830 | ×0.999 | ×1.015 | 4.12% |
| Triples /BIP | 0.00% | ÷1.016 | ×0.910 | ×0.999 | ×1.015 | 0.00% |
| Home runs /BIP | 1.39% | ÷0.937 | ×0.800 | — | ×1.015 | 1.20% |
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 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 ×0.999.
Result: wOBA .279 → .221; ISO .063 → .051; BABIP .271 → .247. 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 ROKGCL Tigers West · 163 PAwOBA .288 → .206 (−82)K% 17.2% → 24.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.18% | ÷1.000 | ×1.440 | — | — | 24.74% |
| BB% (unintentional) /PA | 11.04% | ÷1.000 | ×0.620 | — | ×1.008 | 6.90% |
| HBP% /PA | 2.45% | — | ×0.720 | — | ×1.008 | 1.78% |
| Singles /BIP | 19.27% | ÷1.000 | ×0.820 | ×0.950 | ×1.008 | 15.12% |
| Doubles /BIP | 7.34% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 5.06% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 0.00% |
| Home runs /BIP | 0.92% | ÷1.000 | ×0.780 | — | ×1.008 | 0.72% |
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 .288 → .206; ISO .080 → .057; BABIP .259 → .196. 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 Tigers 1 · 194 PAwOBA .320 → .215 (−105)K% 18.6% → 22.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.56% | ÷1.000 | ×1.220 | — | — | 22.64% |
| BB% (unintentional) /PA | 11.86% | ÷1.000 | ×0.700 | — | ×1.008 | 8.36% |
| HBP% /PA | 2.58% | — | ×0.700 | — | ×1.008 | 1.82% |
| Singles /BIP | 22.83% | ÷1.000 | ×0.680 | ×0.990 | ×1.008 | 15.49% |
| Doubles /BIP | 3.15% | ÷1.000 | ×0.600 | ×0.990 | ×1.008 | 1.89% |
| Triples /BIP | 4.72% | ÷1.000 | ×0.600 | ×0.990 | ×1.008 | 2.83% |
| Home runs /BIP | 0.79% | ÷1.000 | ×0.470 | — | ×1.008 | 0.37% |
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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.
Result: wOBA .320 → .215; ISO .117 → .069; BABIP .305 → .200. 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).