Wilson Rodriguez
RF Hudson Valley Renegades| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 19 | ROKNYY | 40 | .152/.300/.152 | 0 | 1 | -18 | — | .083/.175/.083 |
| 2025 | 20 | A/ROKNYY | 210 | .249/.353/.384 | 4 | 11 | 49 | — | .183/.266/.286 |
| 2026 | 21 | A+NYY | 364 | .259/.380/.427 | 8 | 20 | 78 | — | .212/.293/.349 |
| 2027PROJMLE | 22 | MLBNYY | 1 | .220/.301/.355 | 0 | 0 | 84 | -0.0 | |
| 2028PROJ25% MLB | 23 | MLBNYY | 75 | .225/.305/.368 | 2 | 2 | 88 | 0.0 | |
| 2029PROJ36% MLB | 24 | MLBNYY | 134 | .228/.308/.376 | 4 | 3 | 91 | 0.0 |
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) | |||||||||||||||||||||||||||||||
| 2023 | 18 | ROK | FCL Yankees | — | 50 | 41 | 9 | 3 | 0 | 2 | 8 | 13 | 1 | 0 | 1 | 220 | 360 | 439 | 799 | 220 | 269 | 26 | 16 | 359 | 31 | — | — | — | — | — | — |
| 2023 | 18 | INTL | RA12 | — | 15 | 14 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 71 | 71 | 143 | 214 | 71 | 100 | 27 | 0 | 86 | -56 | — | — | — | — | — | — |
| 2024 | 19 | ROK | FCL Yankees | — | 40 | 33 | 5 | 0 | 0 | 0 | 7 | 15 | 0 | 1 | 2 | 152 | 300 | 152 | 452 | 278 | 38 | 18 | 235 | -18 | — | — | — | — | — | — | |
| 2025 | 20 | A | Tampa Tarpons | — | 117 | 97 | 23 | 5 | 2 | 2 | 15 | 23 | 2 | 3 | 2 | 237 | 351 | 392 | 743 | 155 | 280 | 20 | 13 | 328 | 67 | — | — | — | — | — | — |
| 2025 | 20 | ROK | FCL Yankees | — | 93 | 80 | 21 | 3 | 0 | 2 | 10 | 14 | 2 | 8 | 2 | 263 | 355 | 375 | 730 | 112 | 297 | 15 | 11 | 333 | 27 | — | — | — | — | — | — |
| 2026 | 21 | A+ | Hudson Valley Renegades | — | 364 | 293 | 76 | 15 | 5 | 8 | 58 | 72 | 2 | 20 | 5 | 259 | 380 | 427 | 807 | 167 | 311 | 20 | 16 | 355 | 78 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 18 | ROK MLE | FCL Yankees | — | 50 | 44 | 6 | 2 | 0 | 1 | 5 | 20 | 1 | 0 | 1 | 136 | 240 | 250 | 490 | 114 | 197 | 40 | 10 | 214 | 31 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | FCL Yankees | — | 40 | 36 | 3 | 0 | 0 | 0 | 4 | 22 | 0 | 1 | 2 | 83 | 175 | 83 | 258 | 226 | 55 | 10 | 142 | -18 | — | — | — | — | — | — | |
| 2025 | 20 | A MLE | Tampa Tarpons | — | 117 | 101 | 19 | 4 | 2 | 2 | 11 | 31 | 2 | 3 | 2 | 188 | 281 | 327 | 607 | 139 | 232 | 26 | 9 | 267 | 67 | — | — | — | — | — | — |
| 2025 | 20 | ROK MLE | FCL Yankees | — | 93 | 85 | 15 | 2 | 0 | 1 | 6 | 20 | 2 | 8 | 2 | 176 | 247 | 235 | 483 | 59 | 209 | 22 | 6 | 208 | 27 | — | — | — | — | — | — |
| 2026 | 21 | A+ MLE | Hudson Valley Renegades | — | 364 | 321 | 68 | 12 | 4 | 8 | 35 | 94 | 2 | 20 | 5 | 212 | 293 | 349 | 642 | 137 | 261 | 26 | 10 | 283 | 78 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | 2 teams | — | 65 | 57 | 7 | 2 | 0 | 1 | 6 | 26 | 1 | 0 | 1 | 123 | 219 | 211 | 429 | 88 | 200 | 40 | 9 | 214 | 31 | — | — | — | — | — | — |
| 2023 | 18 | ROK RAW | 2 teams | — | 65 | 55 | 10 | 4 | 0 | 2 | 8 | 17 | 1 | 0 | 1 | 182 | 297 | 364 | 661 | 182 | 222 | 26 | 12 | 296 | 31 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | FCL Yankees | — | 40 | 36 | 3 | 0 | 0 | 0 | 4 | 22 | 0 | 1 | 2 | 83 | 175 | 83 | 258 | 214 | 55 | 10 | 142 | -18 | — | — | — | — | — | — | |
| 2024 | 19 | ROK RAW | FCL Yankees | — | 40 | 33 | 5 | 0 | 0 | 0 | 7 | 15 | 0 | 1 | 2 | 152 | 300 | 152 | 452 | 278 | 38 | 18 | 235 | -18 | — | — | — | — | — | — | |
| 2025 | 20 | A MLE | 2 teams | — | 210 | 186 | 34 | 6 | 2 | 3 | 17 | 51 | 4 | 11 | 4 | 183 | 266 | 285 | 551 | 102 | 230 | 24 | 8 | 241 | 49 | — | — | — | — | — | — |
| 2025 | 20 | A RAW | 2 teams | — | 210 | 177 | 44 | 8 | 2 | 4 | 25 | 37 | 4 | 11 | 4 | 249 | 353 | 384 | 737 | 136 | 288 | 18 | 12 | 330 | 49 | — | — | — | — | — | — |
| 2026 | 21 | A+ MLE | Hudson Valley Renegades | — | 364 | 321 | 68 | 12 | 4 | 8 | 35 | 94 | 2 | 20 | 5 | 212 | 293 | 349 | 642 | 137 | 267 | 26 | 10 | 283 | 78 | — | — | — | — | — | — |
| 2026 | 21 | A+ RAW | Hudson Valley Renegades | — | 364 | 293 | 76 | 15 | 5 | 8 | 58 | 72 | 2 | 20 | 5 | 259 | 380 | 427 | 807 | 167 | 311 | 20 | 16 | 355 | 78 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | 2 teams | — | 65 | 58 | 7 | 2 | 0 | 1 | 6 | 26 | 1 | 0 | 1 | 121 | 219 | 207 | 426 | 86 | 197 | 40 | 9 | 214 | 31 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | FCL Yankees | — | 40 | 36 | 3 | 0 | 0 | 0 | 4 | 22 | 0 | 1 | 2 | 83 | 175 | 83 | 258 | 226 | 55 | 10 | 142 | -18 | — | — | — | — | — | — | |
| 2025 | 20 | A MLE | 2 teams | — | 210 | 187 | 34 | 6 | 2 | 3 | 17 | 51 | 4 | 11 | 4 | 182 | 266 | 283 | 549 | 102 | 222 | 24 | 8 | 241 | 49 | — | — | — | — | — | — |
| 2026 | 21 | A+ MLE | Hudson Valley Renegades | — | 364 | 324 | 68 | 12 | 4 | 8 | 35 | 94 | 2 | 20 | 5 | 210 | 293 | 346 | 639 | 136 | 261 | 26 | 10 | 283 | 78 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 19 | ROK MLE | FCL Yankees | — | 40 | 36 | 3 | 0 | 0 | 0 | 4 | 22 | 0 | 1 | 2 | 83 | 175 | 83 | 258 | 226 | 55 | 10 | 142 | -18 | — | — | — | — | — | — | |
| 2025 | 20 | A MLE | 2 teams | — | 210 | 187 | 34 | 6 | 2 | 3 | 17 | 51 | 4 | 11 | 4 | 182 | 266 | 283 | 549 | 102 | 222 | 24 | 8 | 241 | 49 | — | — | — | — | — | — |
| 2026 | 21 | A+ MLE | Hudson Valley Renegades | — | 364 | 324 | 68 | 12 | 4 | 8 | 35 | 94 | 2 | 20 | 5 | 210 | 293 | 346 | 639 | 136 | 261 | 26 | 10 | 283 | 78 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 22 | MLB MLE | NYY | 0% | 474 | 422 | 92 | 18 | 3 | 10 | 45 | 110 | 4 | 11 | 3 | 219 | 300 | 350 | 649 | 130 | 269 | 23 | 9 | 292 | 84 | -9 | +1 | +1 | -5 | +10 | 0.1 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 22 | MLB CTX | NYY | 0% | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 301 | 355 | 656 | 135 | 269 | 0 | 0 | 295 | 84 | -0 | +0 | +0 | -0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 23 | MLB MLE | NYY | 25% | 298 | 266 | 59 | 11 | 2 | 7 | 28 | 68 | 2 | 7 | 2 | 223 | 304 | 362 | 665 | 138 | 271 | 23 | 9 | 299 | 88 | -4 | +1 | +0 | -3 | +6 | 0.0 |
| 2029 | 24 | MLB MLE | NYY | 36% | 369 | 328 | 74 | 14 | 3 | 9 | 35 | 83 | 3 | 9 | 2 | 226 | 307 | 370 | 676 | 143 | 273 | 22 | 9 | 303 | 91 | -4 | +1 | +0 | -4 | +8 | 0.2 |
| 2030 | 25 | MLB MLE | NYY | 43% | 408 | 363 | 83 | 16 | 3 | 10 | 39 | 92 | 3 | 10 | 3 | 228 | 308 | 374 | 682 | 146 | 274 | 23 | 10 | 305 | 93 | -4 | +1 | +0 | -4 | +9 | 0.2 |
| 2031 | 26 | MLB MLE | NYY | 47% | 430 | 383 | 88 | 17 | 3 | 11 | 41 | 97 | 3 | 10 | 3 | 229 | 309 | 375 | 684 | 146 | 275 | 23 | 10 | 306 | 93 | -3 | +1 | +1 | -5 | +9 | 0.3 |
| 2032 | 27 | MLB MLE | NYY | 48% | 437 | 390 | 89 | 17 | 3 | 11 | 41 | 99 | 3 | 10 | 3 | 228 | 308 | 374 | 682 | 146 | 275 | 23 | 9 | 306 | 93 | -4 | +1 | +1 | -5 | +9 | 0.2 |
| 2033 | 28 | MLB MLE | NYY | 48% | 437 | 390 | 88 | 17 | 3 | 11 | 41 | 100 | 3 | 8 | 2 | 227 | 306 | 369 | 676 | 143 | 274 | 23 | 9 | 303 | 91 | -5 | +1 | -0 | -5 | +9 | 0.1 |
| 2034 | 29 | MLB MLE | NYY | 48% | 428 | 382 | 85 | 16 | 3 | 10 | 40 | 99 | 3 | 6 | 2 | 224 | 303 | 363 | 666 | 139 | 272 | 23 | 9 | 299 | 89 | -6 | +0 | -1 | -5 | +9 | -0.2 |
| 2035 | 30 | MLB MLE | NYY | 47% | 417 | 372 | 82 | 16 | 2 | 10 | 39 | 98 | 3 | 5 | 2 | 221 | 300 | 355 | 655 | 134 | 270 | 24 | 9 | 294 | 85 | -7 | +0 | -2 | -4 | +9 | -0.4 |
| 2028 | 23 | MLB CTX | NYY | 25% | 75 | 67 | 16 | 3 | 1 | 2 | 7 | 17 | 1 | 2 | 0 | 225 | 305 | 368 | 673 | 143 | 271 | 23 | 9 | 302 | 88 | -1 | +0 | +0 | -1 | +2 | 0.0 |
| 2029 | 24 | MLB CTX | NYY | 36% | 134 | 119 | 28 | 5 | 1 | 4 | 13 | 30 | 1 | 3 | 1 | 228 | 308 | 376 | 684 | 148 | 273 | 22 | 10 | 306 | 91 | -1 | +0 | +0 | -1 | +3 | 0.0 |
| 2030 | 25 | MLB CTX | NYY | 43% | 175 | 155 | 36 | 7 | 1 | 5 | 17 | 39 | 1 | 4 | 1 | 229 | 309 | 381 | 690 | 151 | 274 | 22 | 10 | 308 | 93 | -2 | +0 | +0 | -2 | +4 | 0.1 |
| 2031 | 26 | MLB CTX | NYY | 47% | 200 | 177 | 41 | 8 | 1 | 6 | 19 | 45 | 2 | 5 | 1 | 230 | 310 | 382 | 692 | 152 | 275 | 22 | 10 | 309 | 93 | -2 | +1 | +0 | -2 | +4 | 0.1 |
| 2032 | 27 | MLB CTX | NYY | 48% | 208 | 184 | 42 | 8 | 1 | 6 | 20 | 47 | 2 | 5 | 1 | 230 | 310 | 381 | 691 | 151 | 275 | 23 | 10 | 309 | 93 | -2 | +1 | +0 | -2 | +5 | 0.1 |
| 2033 | 28 | MLB CTX | NYY | 48% | 211 | 187 | 43 | 8 | 1 | 6 | 20 | 48 | 2 | 4 | 1 | 228 | 307 | 376 | 684 | 148 | 274 | 23 | 9 | 306 | 91 | -2 | +0 | -0 | -2 | +5 | 0.0 |
| 2034 | 29 | MLB CTX | NYY | 48% | 203 | 181 | 41 | 8 | 1 | 5 | 19 | 47 | 1 | 3 | 1 | 225 | 305 | 370 | 674 | 144 | 272 | 23 | 9 | 302 | 89 | -3 | +0 | -0 | -2 | +4 | -0.1 |
| 2035 | 30 | MLB CTX | NYY | 47% | 196 | 175 | 39 | 7 | 1 | 5 | 18 | 46 | 1 | 2 | 1 | 222 | 301 | 361 | 662 | 139 | 270 | 23 | 9 | 297 | 85 | -3 | +0 | -1 | -2 | +4 | -0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1402 | 1245 | 286 | 54 | 8 | 39 | 133 | 319 | 11 | 28 | 7 | 230 | 310 | 380 | 689 | 150 | 276 | 23 | 9 | 305 | 85 | -16 | +3 | -0 | -15 | +30 | 0.2 | |
| / 162G | — | A+C | — | 650 | 577 | 133 | 25 | 4 | 18 | 62 | 148 | 5 | 13 | 3 | 231 | 311 | 381 | 692 | 151 | 278 | 23 | 10 | 305 | 85 | -7 | +1 | -0 | -7 | +14 | 0.1 | |
| Career | — | MLE | — | 4113 | 3660 | 801 | 152 | 30 | 95 | 386 | 978 | 32 | 102 | 32 | 219 | 299 | 355 | 654 | 136 | 270 | 24 | 9 | 294 | 85 | -40 | +6 | -0 | -37 | +74 | 0.3 | |
| / 162G | — | MLE | — | 650 | 578 | 127 | 24 | 5 | 15 | 61 | 155 | 5 | 16 | 5 | 220 | 300 | 356 | 656 | 137 | 272 | 24 | 9 | 294 | 85 | -8 | +1 | -0 | -7 | +14 | 0.1 | |
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.
2026 A+Hudson Valley Renegades · 364 PAwOBA .353 → .283 (−70)K% 19.8% → 25.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.78% | ÷1.000 | ×1.310 | — | — | 25.91% |
| BB% (unintentional) /PA | 15.93% | ÷1.000 | ×0.600 | — | ×1.012 | 9.68% |
| HBP% /PA | 0.55% | — | ×0.770 | — | ×1.012 | 0.43% |
| Singles /BIP | 21.72% | ÷1.000 | ×0.870 | ×0.983 | ×1.012 | 18.79% |
| Doubles /BIP | 6.79% | ÷1.000 | ×0.780 | ×0.983 | ×1.012 | 5.26% |
| Triples /BIP | 2.26% | ÷1.000 | ×0.850 | ×0.983 | ×1.012 | 1.91% |
| Home runs /BIP | 3.62% | ÷1.000 | ×0.880 | — | ×1.012 | 3.22% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.983.
Result: wOBA .353 → .283; ISO .167 → .149; BABIP .311 → .261. 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).
2025 ATampa Tarpons · 117 PAwOBA .329 → .267 (−62)K% 19.7% → 26.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.66% | ÷1.000 | ×1.360 | — | — | 26.75% |
| BB% (unintentional) /PA | 12.82% | ÷0.971 | ×0.690 | — | ×1.015 | 9.25% |
| HBP% /PA | 1.71% | — | ×0.780 | — | ×1.015 | 1.35% |
| Singles /BIP | 18.92% | ÷1.119 | ×0.920 | ×0.984 | ×1.015 | 15.54% |
| Doubles /BIP | 6.76% | ÷1.046 | ×0.830 | ×0.984 | ×1.015 | 5.36% |
| Triples /BIP | 2.70% | ÷0.913 | ×0.910 | ×0.984 | ×1.015 | 2.69% |
| Home runs /BIP | 2.70% | ÷0.842 | ×0.800 | — | ×1.015 | 2.61% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 68, 1B 124, 2B 109, 3B 83, K 100, BB 94 — 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 ×0.984.
Result: wOBA .329 → .267; ISO .155 → .140; BABIP .280 → .232. 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).
2025 ROKFCL Yankees · 93 PAwOBA .324 → .208 (−117)K% 15.1% → 21.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.05% | ÷1.001 | ×1.440 | — | — | 21.66% |
| BB% (unintentional) /PA | 10.75% | ÷1.000 | ×0.620 | — | ×0.985 | 6.56% |
| HBP% /PA | 2.15% | — | ×0.720 | — | ×0.985 | 1.53% |
| Singles /BIP | 24.24% | ÷1.056 | ×0.820 | ×0.956 | ×0.985 | 17.72% |
| Doubles /BIP | 4.55% | ÷1.043 | ×0.720 | ×0.956 | ×0.985 | 2.95% |
| Triples /BIP | 0.00% | ÷1.008 | ×0.720 | ×0.956 | ×0.985 | 0.00% |
| Home runs /BIP | 3.03% | ÷2.059 | ×0.780 | — | ×0.985 | 1.13% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 312, 1B 111, 2B 109, 3B 102, K 100, BB 100 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.956.
Result: wOBA .324 → .208; ISO .113 → .052; BABIP .297 → .209. 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 ROKFCL Yankees · 40 PAwOBA .231 → .142 (−89)K% 37.5% → 55.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 37.50% | ÷0.972 | ×1.440 | — | — | 55.53% |
| BB% (unintentional) /PA | 17.50% | ÷0.988 | ×0.620 | — | ×0.995 | 10.92% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 27.78% | ÷1.002 | ×0.820 | — | ×0.995 | 22.62% |
| Doubles /BIP | 0.00% | ÷1.087 | ×0.720 | — | ×0.995 | 0.00% |
| Triples /BIP | 0.00% | ÷0.970 | ×0.720 | — | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.142 | ×0.780 | — | ×0.995 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 128, 1B 100, 2B 117, 3B 94, K 94, BB 98 — 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).
Result: wOBA .231 → .142; ISO .000 → .000; BABIP .278 → .226. 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 ROKFCL Yankees · 50 PAwOBA .350 → .214 (−136)K% 26.0% → 39.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.00% | ÷0.951 | ×1.440 | — | — | 39.38% |
| BB% (unintentional) /PA | 16.00% | ÷0.995 | ×0.620 | — | ×1.008 | 10.05% |
| HBP% /PA | 2.00% | — | ×0.720 | — | ×1.008 | 1.45% |
| Singles /BIP | 14.29% | ÷0.994 | ×0.820 | — | ×1.008 | 11.88% |
| Doubles /BIP | 10.71% | ÷1.106 | ×0.720 | — | ×1.008 | 7.03% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.720 | — | ×1.008 | 0.00% |
| Home runs /BIP | 7.14% | ÷1.383 | ×0.780 | — | ×1.008 | 4.06% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 177, 1B 99, 2B 121, 3B 80, K 90, BB 99 — 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).
Result: wOBA .350 → .214; ISO .220 → .115; BABIP .269 → .197. 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 — .