Imanol Vargas
OF Altoona Curve| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 25 | AALAD | 526 | .251/.359/.463 | 22 | 0 | 78 | — | .204/.283/.359 |
| 2024 | 26 | ASEA | 472 | .275/.368/.463 | 14 | 1 | 64 | — | .200/.265/.333 |
| 2025 | 27 | AAPIT | 121 | .204/.339/.265 | 1 | 0 | 36 | — | .162/.254/.210 |
| 2027PROJMLE | 29 | MLBPIT | 2 | .224/.297/.353 | 0 | 0 | 85 | -0.0 | |
| 2028PROJ23% MLB | 30 | MLBPIT | 27 | .222/.295/.348 | 1 | 0 | 83 | -0.1 |
Tools · Contract
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 | 19 | ROK | DSL Dodgers 1 | — | 89 | 71 | 15 | 5 | 0 | 2 | 16 | 25 | 2 | 2 | 3 | 211 | 371 | 366 | 737 | 155 | 295 | 28 | 18 | 342 | 34 | — | — | — | — | — | — |
| 2018 | 20 | ROK | DSL Dodgers Robinson | — | 257 | 201 | 53 | 9 | 3 | 4 | 52 | 50 | 2 | 10 | 7 | 264 | 420 | 398 | 818 | 134 | 329 | 19 | 20 | 373 | 53 | — | — | — | — | — | — |
| 2019 | 21 | ROK | AZL Dodgers Mota | — | 186 | 155 | 45 | 9 | 2 | 9 | 28 | 50 | 2 | 4 | 3 | 290 | 405 | 548 | 954 | 258 | 375 | 27 | 15 | 415 | 71 | — | — | — | — | — | — |
| 2021 | 23 | A | Rancho Cucamonga Quakes | — | 304 | 264 | 65 | 11 | 4 | 17 | 36 | 95 | 2 | 2 | 1 | 246 | 341 | 511 | 852 | 265 | 312 | 31 | 12 | 370 | 69 | — | — | — | — | — | — |
| 2022 | 24 | A+ | Great Lakes Loons | — | 470 | 381 | 102 | 20 | 1 | 18 | 80 | 145 | 8 | 5 | 0 | 268 | 405 | 467 | 872 | 199 | 384 | 31 | 17 | 390 | 86 | — | — | — | — | — | — |
| 2023 | 25 | AA | Tulsa Drillers | — | 526 | 447 | 112 | 29 | 0 | 22 | 76 | 174 | 0 | 0 | 0 | 251 | 359 | 463 | 823 | 213 | 354 | 33 | 14 | 364 | 78 | — | — | — | — | — | — |
| 2024 | 26 | A | Inland Empire 66ers | — | 472 | 408 | 112 | 31 | 2 | 14 | 58 | 123 | 2 | 1 | 1 | 275 | 368 | 463 | 831 | 189 | 356 | 26 | 12 | 366 | 64 | — | — | — | — | — | — |
| 2025 | 27 | AA | Altoona Curve | — | 121 | 98 | 20 | 3 | 0 | 1 | 20 | 34 | 0 | 0 | 0 | 204 | 339 | 265 | 604 | 61 | 288 | 28 | 17 | 284 | 36 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 19 | ROK MLE | DSL Dodgers 1 | — | 89 | 76 | 10 | 3 | 0 | 1 | 11 | 31 | 2 | 2 | 3 | 132 | 258 | 211 | 469 | 79 | 196 | 35 | 12 | 219 | 34 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | DSL Dodgers Robinson | — | 257 | 218 | 36 | 6 | 2 | 2 | 35 | 61 | 2 | 10 | 7 | 165 | 286 | 239 | 525 | 73 | 213 | 24 | 14 | 246 | 53 | — | — | — | — | — | — |
| 2019 | 21 | ROK MLE | AZL Dodgers Mota | — | 186 | 166 | 31 | 6 | 1 | 6 | 17 | 72 | 2 | 4 | 3 | 187 | 270 | 343 | 614 | 157 | 285 | 39 | 9 | 273 | 71 | — | — | — | — | — | — |
| 2021 | 23 | A MLE | Rancho Cucamonga Quakes | — | 304 | 275 | 50 | 7 | 3 | 12 | 25 | 127 | 2 | 2 | 1 | 182 | 255 | 360 | 615 | 178 | 271 | 42 | 8 | 270 | 69 | — | — | — | — | — | — |
| 2022 | 24 | A+ MLE | Great Lakes Loons | — | 470 | 404 | 83 | 15 | 1 | 14 | 57 | 178 | 8 | 5 | 0 | 205 | 316 | 351 | 667 | 146 | 321 | 38 | 12 | 295 | 86 | — | — | — | — | — | — |
| 2023 | 25 | AA MLE | Tulsa Drillers | — | 526 | 471 | 96 | 25 | 0 | 16 | 52 | 207 | 0 | 0 | 0 | 204 | 283 | 359 | 642 | 155 | 317 | 39 | 10 | 284 | 78 | — | — | — | — | — | — |
| 2024 | 26 | A MLE | Inland Empire 66ers | — | 472 | 430 | 86 | 22 | 1 | 11 | 36 | 175 | 2 | 1 | 1 | 200 | 265 | 333 | 598 | 133 | 296 | 37 | 8 | 263 | 64 | — | — | — | — | — | — |
| 2025 | 27 | AA MLE | Altoona Curve | — | 121 | 105 | 17 | 2 | 0 | 1 | 13 | 44 | 0 | 0 | 0 | 162 | 254 | 210 | 464 | 48 | 248 | 36 | 11 | 221 | 36 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | DSL Dodgers 1 | — | 89 | 76 | 10 | 3 | 0 | 1 | 11 | 31 | 2 | 2 | 3 | 132 | 258 | 211 | 469 | 79 | 205 | 35 | 12 | 219 | 34 | — | — | — | — | — | — |
| 2017 | 19 | ROK RAW | DSL Dodgers 1 | — | 89 | 71 | 15 | 5 | 0 | 2 | 16 | 25 | 2 | 2 | 3 | 211 | 371 | 366 | 737 | 155 | 295 | 28 | 18 | 342 | 34 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | DSL Dodgers Robinson | — | 257 | 218 | 36 | 6 | 2 | 2 | 35 | 61 | 2 | 10 | 7 | 165 | 286 | 239 | 525 | 73 | 217 | 24 | 14 | 246 | 53 | — | — | — | — | — | — |
| 2018 | 20 | ROK RAW | DSL Dodgers Robinson | — | 257 | 201 | 53 | 9 | 3 | 4 | 52 | 50 | 2 | 10 | 7 | 264 | 420 | 398 | 818 | 134 | 329 | 19 | 20 | 373 | 53 | — | — | — | — | — | — |
| 2019 | 21 | ROK MLE | AZL Dodgers Mota | — | 186 | 166 | 31 | 6 | 1 | 6 | 17 | 72 | 2 | 4 | 3 | 187 | 270 | 343 | 614 | 157 | 284 | 39 | 9 | 273 | 71 | — | — | — | — | — | — |
| 2019 | 21 | ROK RAW | AZL Dodgers Mota | — | 186 | 155 | 45 | 9 | 2 | 9 | 28 | 50 | 2 | 4 | 3 | 290 | 405 | 548 | 954 | 258 | 375 | 27 | 15 | 415 | 71 | — | — | — | — | — | — |
| 2021 | 23 | A MLE | Rancho Cucamonga Quakes | — | 304 | 275 | 50 | 7 | 3 | 12 | 25 | 127 | 2 | 2 | 1 | 182 | 255 | 360 | 615 | 178 | 275 | 42 | 8 | 270 | 69 | — | — | — | — | — | — |
| 2021 | 23 | A RAW | Rancho Cucamonga Quakes | — | 304 | 264 | 65 | 11 | 4 | 17 | 36 | 95 | 2 | 2 | 1 | 246 | 341 | 511 | 852 | 265 | 312 | 31 | 12 | 370 | 69 | — | — | — | — | — | — |
| 2022 | 24 | A+ MLE | Great Lakes Loons | — | 470 | 404 | 83 | 15 | 1 | 14 | 57 | 178 | 8 | 5 | 0 | 205 | 316 | 351 | 667 | 146 | 324 | 38 | 12 | 295 | 86 | — | — | — | — | — | — |
| 2022 | 24 | A+ RAW | Great Lakes Loons | — | 470 | 381 | 102 | 20 | 1 | 18 | 80 | 145 | 8 | 5 | 0 | 268 | 405 | 467 | 872 | 199 | 384 | 31 | 17 | 390 | 86 | — | — | — | — | — | — |
| 2023 | 25 | AA MLE | Tulsa Drillers | — | 526 | 471 | 96 | 25 | 0 | 16 | 52 | 207 | 0 | 0 | 0 | 204 | 283 | 359 | 642 | 155 | 319 | 39 | 10 | 284 | 78 | — | — | — | — | — | — |
| 2023 | 25 | AA RAW | Tulsa Drillers | — | 526 | 447 | 112 | 29 | 0 | 22 | 76 | 174 | 0 | 0 | 0 | 251 | 359 | 463 | 823 | 213 | 354 | 33 | 14 | 364 | 78 | — | — | — | — | — | — |
| 2024 | 26 | A MLE | Inland Empire 66ers | — | 472 | 430 | 86 | 22 | 1 | 11 | 36 | 175 | 2 | 1 | 1 | 200 | 265 | 333 | 598 | 133 | 302 | 37 | 8 | 263 | 64 | — | — | — | — | — | — |
| 2024 | 26 | A RAW | Inland Empire 66ers | — | 472 | 408 | 112 | 31 | 2 | 14 | 58 | 123 | 2 | 1 | 1 | 275 | 368 | 463 | 831 | 189 | 356 | 26 | 12 | 366 | 64 | — | — | — | — | — | — |
| 2025 | 27 | AA MLE | Altoona Curve | — | 121 | 105 | 17 | 2 | 0 | 1 | 13 | 44 | 0 | 0 | 0 | 162 | 254 | 210 | 464 | 48 | 254 | 36 | 11 | 221 | 36 | — | — | — | — | — | — |
| 2025 | 27 | AA RAW | Altoona Curve | — | 121 | 98 | 20 | 3 | 0 | 1 | 20 | 34 | 0 | 0 | 0 | 204 | 339 | 265 | 604 | 61 | 288 | 28 | 17 | 284 | 36 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | DSL Dodgers 1 | — | 89 | 76 | 10 | 3 | 0 | 1 | 11 | 31 | 2 | 2 | 3 | 132 | 258 | 211 | 469 | 79 | 196 | 35 | 12 | 219 | 34 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | DSL Dodgers Robinson | — | 257 | 218 | 36 | 6 | 2 | 2 | 35 | 61 | 2 | 10 | 7 | 165 | 286 | 239 | 525 | 73 | 213 | 24 | 14 | 246 | 53 | — | — | — | — | — | — |
| 2019 | 21 | ROK MLE | AZL Dodgers Mota | — | 186 | 165 | 31 | 6 | 1 | 6 | 17 | 72 | 2 | 4 | 3 | 188 | 270 | 345 | 616 | 158 | 285 | 39 | 9 | 273 | 71 | — | — | — | — | — | — |
| 2021 | 23 | A MLE | Rancho Cucamonga Quakes | — | 304 | 274 | 50 | 7 | 3 | 12 | 25 | 127 | 2 | 2 | 1 | 182 | 255 | 361 | 616 | 179 | 271 | 42 | 8 | 270 | 69 | — | — | — | — | — | — |
| 2022 | 24 | A+ MLE | Great Lakes Loons | — | 470 | 402 | 83 | 15 | 1 | 14 | 57 | 178 | 8 | 5 | 0 | 206 | 316 | 353 | 669 | 147 | 321 | 38 | 12 | 295 | 86 | — | — | — | — | — | — |
| 2023 | 25 | AA MLE | Tulsa Drillers | — | 526 | 469 | 96 | 25 | 0 | 16 | 52 | 207 | 0 | 0 | 0 | 205 | 283 | 360 | 643 | 156 | 317 | 39 | 10 | 284 | 78 | — | — | — | — | — | — |
| 2024 | 26 | A MLE | Inland Empire 66ers | — | 472 | 431 | 86 | 22 | 1 | 11 | 36 | 175 | 2 | 1 | 1 | 200 | 265 | 332 | 597 | 132 | 296 | 37 | 8 | 263 | 64 | — | — | — | — | — | — |
| 2025 | 27 | AA MLE | Altoona Curve | — | 121 | 107 | 17 | 2 | 0 | 1 | 13 | 44 | 0 | 0 | 0 | 159 | 254 | 206 | 460 | 47 | 248 | 36 | 11 | 221 | 36 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 26 | A MLE | Inland Empire 66ers | — | 472 | 431 | 86 | 22 | 1 | 11 | 36 | 175 | 2 | 1 | 1 | 200 | 265 | 332 | 597 | 132 | 296 | 37 | 8 | 263 | 64 | — | — | — | — | — | — |
| 2025 | 27 | AA MLE | Altoona Curve | — | 121 | 107 | 17 | 2 | 0 | 1 | 13 | 44 | 0 | 0 | 0 | 159 | 254 | 206 | 460 | 47 | 248 | 36 | 11 | 221 | 36 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 29 | MLB MLE | PIT | 2% | 200 | 180 | 41 | 8 | 1 | 5 | 17 | 55 | 1 | 1 | 0 | 224 | 298 | 358 | 656 | 133 | 293 | 28 | 8 | 294 | 85 | -4 | +0 | +0 | -1 | +4 | 0.0 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 29 | MLB CTX | PIT | 2% | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 224 | 297 | 353 | 650 | 129 | 294 | 50 | 0 | 292 | 85 | -0 | +0 | +0 | -0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 30 | MLB MLE | PIT | 23% | 120 | 108 | 25 | 5 | 1 | 3 | 10 | 33 | 1 | 0 | 0 | 222 | 295 | 352 | 648 | 130 | 291 | 28 | 8 | 291 | 83 | -2 | +0 | -2 | -1 | +3 | -0.3 |
| 2028 | 30 | MLB CTX | PIT | 23% | 27 | 25 | 6 | 1 | 0 | 1 | 2 | 7 | 0 | 0 | 0 | 222 | 295 | 348 | 642 | 126 | 292 | 26 | 7 | 289 | 83 | -1 | +0 | -0 | -0 | +1 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 27 | 25 | 6 | 1 | 0 | 1 | 2 | 7 | 0 | 0 | 0 | 240 | 296 | 400 | 696 | 160 | 294 | 26 | 7 | 289 | 70 | -1 | +0 | -0 | -0 | +1 | -0.1 | |
| / 162G | — | A+C | — | 650 | 602 | 144 | 24 | 0 | 24 | 48 | 169 | 0 | 0 | 0 | 239 | 295 | 399 | 694 | 159 | 293 | 26 | 7 | 289 | 70 | -13 | +0 | -11 | -4 | +14 | -1.5 | |
| Career | — | MLE | — | 2629 | 2329 | 450 | 94 | 9 | 68 | 263 | 951 | 20 | 24 | 15 | 193 | 281 | 329 | 610 | 136 | 288 | 36 | 10 | 272 | 70 | -4 | +0 | -2 | -1 | +4 | -0.3 | |
| / 162G | — | MLE | — | 650 | 576 | 111 | 23 | 2 | 17 | 65 | 235 | 5 | 6 | 4 | 193 | 280 | 328 | 608 | 135 | 287 | 36 | 10 | 272 | 70 | -12 | +0 | -7 | -4 | +14 | -0.9 | |
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.
2025 AAAltoona Curve · 121 PAwOBA .285 → .221 (−63)K% 28.1% → 36.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.10% | ÷0.947 | ×1.220 | — | — | 36.19% |
| BB% (unintentional) /PA | 16.53% | ÷1.033 | ×0.700 | — | ×0.978 | 10.95% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.978 | 0.00% |
| Singles /BIP | 25.00% | ÷1.024 | ×0.970 | ×0.950 | ×0.978 | 22.01% |
| Doubles /BIP | 4.69% | ÷1.036 | ×0.860 | ×0.950 | ×0.978 | 3.62% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | ×0.950 | ×0.978 | 0.00% |
| Home runs /BIP | 1.56% | ÷0.891 | ×0.780 | — | ×0.978 | 1.34% |
Factors used: league row EL. Park (home-season share, regressed): HR 78, 1B 105, 2B 107, 3B 130, K 89, BB 107 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .285 → .221; ISO .061 → .050; BABIP .288 → .248. 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 AInland Empire 66ers · 472 PAwOBA .359 → .263 (−97)K% 26.1% → 37.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.06% | ÷0.957 | ×1.360 | — | — | 37.04% |
| BB% (unintentional) /PA | 12.08% | ÷1.057 | ×0.690 | — | ×0.960 | 7.57% |
| HBP% /PA | 0.42% | — | ×0.780 | — | ×0.960 | 0.32% |
| Singles /BIP | 22.81% | ÷0.983 | ×0.920 | ×0.976 | ×0.960 | 20.01% |
| Doubles /BIP | 10.88% | ÷1.023 | ×0.830 | ×0.976 | ×0.960 | 8.27% |
| Triples /BIP | 0.70% | ÷1.139 | ×0.910 | ×0.976 | ×0.960 | 0.53% |
| Home runs /BIP | 4.91% | ÷0.882 | ×0.800 | — | ×0.960 | 4.28% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 97, 2B 105, 3B 128, K 91, BB 111 — applied at half strength. Age: age 26 vs a level average of 22.0 → −4.0% on BB/HBP/hit rates (4.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.
Result: wOBA .359 → .263; ISO .189 → .141; BABIP .356 → .296. 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 · 526 PAwOBA .354 → .284 (−69)K% 33.1% → 39.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.08% | ÷1.023 | ×1.220 | — | — | 39.43% |
| BB% (unintentional) /PA | 13.69% | ÷0.973 | ×0.700 | — | ×0.998 | 9.83% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.998 | 0.00% |
| Singles /BIP | 22.34% | ÷0.992 | ×0.920 | ×1.002 | ×0.998 | 20.71% |
| Doubles /BIP | 10.62% | ÷0.942 | ×0.840 | ×1.002 | ×0.998 | 9.47% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | ×1.002 | ×0.998 | 0.00% |
| Home runs /BIP | 8.06% | ÷1.083 | ×0.800 | — | ×0.998 | 5.94% |
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 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 ×1.002.
Result: wOBA .354 → .284; ISO .213 → .163; BABIP .354 → .317. 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 · 470 PAwOBA .382 → .295 (−87)K% 30.9% → 37.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.85% | ÷1.033 | ×1.270 | — | — | 37.94% |
| BB% (unintentional) /PA | 17.02% | ÷0.980 | ×0.710 | — | ×0.988 | 12.18% |
| HBP% /PA | 1.70% | — | ×0.790 | — | ×0.988 | 1.33% |
| Singles /BIP | 26.69% | ÷1.026 | ×0.920 | ×0.984 | ×0.988 | 23.27% |
| Doubles /BIP | 8.47% | ÷0.985 | ×0.810 | ×0.984 | ×0.988 | 6.78% |
| Triples /BIP | 0.42% | ÷1.150 | ×0.850 | ×0.984 | ×0.988 | 0.30% |
| Home runs /BIP | 7.63% | ÷1.013 | ×0.800 | — | ×0.988 | 5.95% |
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 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 ×0.984.
Result: wOBA .382 → .295; ISO .199 → .151; BABIP .384 → .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).
2021 ARancho Cucamonga Quakes · 304 PAwOBA .362 → .270 (−93)K% 31.2% → 41.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.25% | ÷1.015 | ×1.360 | — | — | 41.86% |
| BB% (unintentional) /PA | 11.84% | ÷0.985 | ×0.690 | — | ×0.990 | 8.21% |
| HBP% /PA | 0.66% | — | ×0.780 | — | ×0.990 | 0.51% |
| Singles /BIP | 19.53% | ÷0.965 | ×0.920 | ×1.001 | ×0.990 | 18.44% |
| Doubles /BIP | 6.51% | ÷1.166 | ×0.830 | ×1.001 | ×0.990 | 4.59% |
| Triples /BIP | 2.37% | ÷0.960 | ×0.910 | ×1.001 | ×0.990 | 2.22% |
| Home runs /BIP | 10.06% | ÷0.965 | ×0.800 | — | ×0.990 | 8.26% |
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 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 ×1.001.
Result: wOBA .362 → .270; ISO .265 → .192; BABIP .312 → .271. 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 · 186 PAwOBA .404 → .273 (−131)K% 26.9% → 38.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.88% | ÷1.000 | ×1.440 | — | — | 38.71% |
| BB% (unintentional) /PA | 15.05% | ÷1.000 | ×0.620 | — | ×0.985 | 9.19% |
| HBP% /PA | 1.08% | — | ×0.720 | — | ×0.985 | 0.76% |
| Singles /BIP | 23.81% | ÷1.000 | ×0.820 | — | ×0.985 | 19.23% |
| Doubles /BIP | 8.57% | ÷1.000 | ×0.720 | — | ×0.985 | 6.08% |
| Triples /BIP | 1.90% | ÷1.000 | ×0.720 | — | ×0.985 | 1.35% |
| Home runs /BIP | 8.57% | ÷1.000 | ×0.780 | — | ×0.985 | 6.59% |
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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).
Result: wOBA .404 → .273; ISO .258 → .176; BABIP .375 → .285. 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 · 257 PAwOBA .367 → .246 (−121)K% 19.5% → 23.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.46% | ÷1.000 | ×1.220 | — | — | 23.74% |
| BB% (unintentional) /PA | 19.84% | ÷1.000 | ×0.700 | — | ×0.985 | 13.68% |
| HBP% /PA | 0.78% | — | ×0.700 | — | ×0.985 | 0.54% |
| Singles /BIP | 24.50% | ÷1.000 | ×0.680 | ×1.008 | ×0.985 | 16.54% |
| Doubles /BIP | 5.96% | ÷1.000 | ×0.600 | ×1.008 | ×0.985 | 3.55% |
| Triples /BIP | 1.99% | ÷1.000 | ×0.600 | ×1.008 | ×0.985 | 1.18% |
| Home runs /BIP | 2.65% | ÷1.000 | ×0.470 | — | ×0.985 | 1.23% |
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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.
Result: wOBA .367 → .246; ISO .134 → .076; BABIP .329 → .213. 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 DSLDSL Dodgers 1 · 89 PAwOBA .334 → .219 (−116)K% 28.1% → 34.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.09% | ÷1.000 | ×1.220 | — | — | 34.27% |
| BB% (unintentional) /PA | 17.98% | ÷1.000 | ×0.700 | — | ×0.995 | 12.52% |
| HBP% /PA | 2.25% | — | ×0.700 | — | ×0.995 | 1.57% |
| Singles /BIP | 17.39% | ÷1.000 | ×0.680 | ×1.050 | ×0.995 | 12.36% |
| Doubles /BIP | 10.87% | ÷1.000 | ×0.600 | ×1.050 | ×0.995 | 6.81% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×1.050 | ×0.995 | 0.00% |
| Home runs /BIP | 4.35% | ÷1.000 | ×0.470 | — | ×0.995 | 2.03% |
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 ×1.050.
Result: wOBA .334 → .219; ISO .155 → .084; BABIP .295 → .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).