Santiago Gomez
SS Tampa Tarpons| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 20 | ROKNYY | 95 | .321/.421/.420 | 2 | 9 | 57 | — | .202/.295/.250 |
| 2025 | 21 | A/ROK/INTL2 orgs | 228 | .232/.364/.314 | 3 | 30 | 43 | — | .161/.277/.208 |
| 2026 | 22 | A+/ANYY | 95 | .207/.309/.293 | 0 | 6 | 29 | — | .165/.245/.237 |
| 2027PROJMLE | 23 | MLBNYY | 205 | .178/.248/.259 | 2 | 5 | 45 | -0.2 | |
| 2028PROJ30% MLB | 24 | MLBNYY | 34 | .184/.255/.276 | 1 | 1 | 50 | -0.1 |
Tools · ContractCON 37 / POW 37
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) | |||||||||||||||||||||||||||||||
| 2022 | 18 | ROK | DSL NYY Yankees | — | 155 | 122 | 28 | 5 | 2 | 3 | 28 | 39 | 5 | 22 | 5 | 230 | 394 | 377 | 771 | 148 | 312 | 25 | 18 | 357 | 36 | — | — | — | — | — | — |
| 2023 | 19 | ROK | DSL NYY Yankees | — | 184 | 134 | 38 | 10 | 0 | 2 | 31 | 33 | 17 | 20 | 3 | 284 | 473 | 403 | 876 | 119 | 356 | 18 | 17 | 406 | 65 | — | — | — | — | — | — |
| 2024 | 20 | ROK | FCL Yankees | — | 95 | 81 | 26 | 2 | 0 | 2 | 7 | 22 | 7 | 9 | 7 | 321 | 421 | 420 | 841 | 99 | 421 | 23 | 7 | 386 | 57 | — | — | — | — | — | — |
| 2025 | 21 | A | Tampa Tarpons | — | 58 | 47 | 8 | 1 | 0 | 1 | 7 | 16 | 3 | 9 | 1 | 170 | 316 | 255 | 571 | 85 | 226 | 28 | 12 | 274 | 29 | — | — | — | — | — | — |
| 2025 | 21 | ROK | FCL Yankees | — | 140 | 114 | 29 | 2 | 0 | 2 | 10 | 31 | 13 | 20 | 4 | 254 | 377 | 325 | 701 | 70 | 325 | 22 | 7 | 328 | 30 | — | — | — | — | — | — |
| 2025 | 21 | INTL | Venados de Mazatlan | — | 30 | 24 | 6 | 1 | 1 | 0 | 4 | 3 | 2 | 1 | 2 | 250 | 400 | 375 | 775 | 125 | 286 | 10 | 13 | 359 | 129 | — | — | — | — | — | — |
| 2026 | 22 | A+ | Hudson Valley Renegades | — | 21 | 19 | 4 | 0 | 0 | 0 | 2 | 8 | 0 | 0 | 1 | 211 | 286 | 211 | 496 | 364 | 38 | 10 | 239 | -2 | — | — | — | — | — | — | |
| 2026 | 22 | A | Tampa Tarpons | — | 74 | 63 | 13 | 5 | 1 | 0 | 7 | 14 | 3 | 6 | 1 | 206 | 315 | 317 | 633 | 111 | 260 | 19 | 9 | 290 | 38 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 18 | ROK MLE | DSL NYY Yankees | — | 155 | 130 | 17 | 3 | 1 | 1 | 20 | 49 | 5 | 22 | 5 | 131 | 271 | 192 | 463 | 62 | 190 | 32 | 13 | 221 | 36 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | DSL NYY Yankees | — | 184 | 144 | 26 | 6 | 0 | 1 | 21 | 41 | 17 | 20 | 3 | 181 | 352 | 243 | 595 | 62 | 222 | 22 | 11 | 264 | 65 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | FCL Yankees | — | 95 | 84 | 17 | 1 | 0 | 1 | 4 | 33 | 7 | 9 | 7 | 202 | 295 | 250 | 545 | 48 | 319 | 35 | 4 | 253 | 57 | — | — | — | — | — | — |
| 2025 | 21 | A MLE | Tampa Tarpons | — | 58 | 49 | 7 | 1 | 0 | 1 | 5 | 22 | 3 | 9 | 1 | 143 | 263 | 224 | 488 | 82 | 187 | 38 | 9 | 211 | 29 | — | — | — | — | — | — |
| 2025 | 21 | ROK MLE | FCL Yankees | — | 140 | 119 | 20 | 1 | 0 | 1 | 6 | 45 | 13 | 20 | 4 | 168 | 283 | 202 | 484 | 34 | 231 | 32 | 4 | 212 | 30 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | Hudson Valley Renegades | — | 21 | 20 | 3 | 0 | 0 | 0 | 1 | 10 | 0 | 0 | 1 | 150 | 190 | 150 | 340 | 320 | 48 | 5 | 165 | -2 | — | — | — | — | — | — | |
| 2026 | 22 | A MLE | Tampa Tarpons | — | 74 | 65 | 11 | 4 | 1 | 0 | 5 | 19 | 3 | 6 | 1 | 169 | 260 | 262 | 522 | 92 | 218 | 26 | 7 | 224 | 38 | — | — | — | — | — | — |
| 2022 | 18 | ROK MLE | DSL NYY Yankees | — | 155 | 130 | 17 | 3 | 1 | 1 | 20 | 49 | 5 | 22 | 5 | 131 | 271 | 192 | 463 | 62 | 200 | 32 | 13 | 221 | 36 | — | — | — | — | — | — |
| 2022 | 18 | ROK RAW | DSL NYY Yankees | — | 155 | 122 | 28 | 5 | 2 | 3 | 28 | 39 | 5 | 22 | 5 | 230 | 394 | 377 | 771 | 148 | 312 | 25 | 18 | 357 | 36 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | DSL NYY Yankees | — | 184 | 144 | 26 | 6 | 0 | 1 | 21 | 41 | 17 | 20 | 3 | 181 | 352 | 243 | 595 | 62 | 240 | 22 | 11 | 264 | 65 | — | — | — | — | — | — |
| 2023 | 19 | ROK RAW | DSL NYY Yankees | — | 184 | 134 | 38 | 10 | 0 | 2 | 31 | 33 | 17 | 20 | 3 | 284 | 473 | 403 | 876 | 119 | 356 | 18 | 17 | 406 | 65 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | FCL Yankees | — | 95 | 84 | 17 | 1 | 0 | 1 | 4 | 33 | 7 | 9 | 7 | 202 | 295 | 250 | 545 | 48 | 320 | 35 | 4 | 253 | 57 | — | — | — | — | — | — |
| 2024 | 20 | ROK RAW | FCL Yankees | — | 95 | 81 | 26 | 2 | 0 | 2 | 7 | 22 | 7 | 9 | 7 | 321 | 421 | 420 | 841 | 99 | 421 | 23 | 7 | 386 | 57 | — | — | — | — | — | — |
| 2025 | 21 | ROK MLE | 3 teams | — | 228 | 194 | 30 | 2 | 0 | 2 | 13 | 76 | 18 | 30 | 7 | 155 | 271 | 196 | 467 | 41 | 235 | 33 | 6 | 212 | 29 | — | — | — | — | — | — |
| 2025 | 21 | ROK RAW | 3 teams | — | 228 | 185 | 43 | 4 | 1 | 3 | 21 | 50 | 18 | 30 | 7 | 232 | 364 | 314 | 678 | 81 | 296 | 22 | 9 | 318 | 29 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | 2 teams | — | 95 | 85 | 14 | 4 | 1 | 0 | 6 | 29 | 3 | 6 | 2 | 165 | 245 | 235 | 480 | 71 | 246 | 31 | 6 | 211 | 29 | — | — | — | — | — | — |
| 2026 | 22 | A RAW | 2 teams | — | 95 | 82 | 17 | 5 | 1 | 0 | 9 | 22 | 3 | 6 | 2 | 207 | 309 | 293 | 601 | 85 | 279 | 23 | 9 | 279 | 29 | — | — | — | — | — | — |
| 2022 | 18 | ROK MLE | DSL NYY Yankees | — | 155 | 129 | 17 | 3 | 1 | 1 | 20 | 49 | 5 | 22 | 5 | 132 | 271 | 194 | 465 | 62 | 190 | 32 | 13 | 221 | 36 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | DSL NYY Yankees | — | 184 | 144 | 26 | 6 | 0 | 1 | 21 | 41 | 17 | 20 | 3 | 181 | 352 | 243 | 595 | 62 | 222 | 22 | 11 | 264 | 65 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | FCL Yankees | — | 95 | 84 | 17 | 1 | 0 | 1 | 4 | 33 | 7 | 9 | 7 | 202 | 295 | 250 | 545 | 48 | 319 | 35 | 4 | 253 | 57 | — | — | — | — | — | — |
| 2025 | 21 | ROK MLE | 3 teams | — | 228 | 195 | 30 | 2 | 0 | 2 | 13 | 76 | 18 | 30 | 7 | 154 | 271 | 195 | 466 | 41 | 218 | 33 | 6 | 212 | 29 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | 2 teams | — | 95 | 86 | 14 | 4 | 1 | 0 | 6 | 29 | 3 | 6 | 2 | 163 | 245 | 233 | 477 | 70 | 241 | 31 | 6 | 211 | 29 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 20 | ROK MLE | FCL Yankees | — | 95 | 84 | 17 | 1 | 0 | 1 | 4 | 33 | 7 | 9 | 7 | 202 | 295 | 250 | 545 | 48 | 319 | 35 | 4 | 253 | 57 | — | — | — | — | — | — |
| 2025 | 21 | ROK MLE | 3 teams | — | 228 | 195 | 30 | 2 | 0 | 2 | 13 | 76 | 18 | 30 | 7 | 154 | 271 | 195 | 466 | 41 | 218 | 33 | 6 | 212 | 29 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | 2 teams | — | 95 | 86 | 14 | 4 | 1 | 0 | 6 | 29 | 3 | 6 | 2 | 163 | 245 | 233 | 477 | 70 | 241 | 31 | 6 | 211 | 29 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 23 | MLB MLE | NYY | 0% | 205 | 186 | 33 | 6 | 1 | 2 | 13 | 58 | 4 | 5 | 1 | 178 | 248 | 259 | 507 | 81 | 240 | 28 | 6 | 234 | 45 | -14 | +1 | +0 | +2 | +4 | -0.2 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 24 | MLB MLE | NYY | 30% | 114 | 103 | 19 | 3 | 1 | 2 | 8 | 32 | 2 | 3 | 1 | 183 | 254 | 272 | 526 | 90 | 243 | 28 | 7 | 242 | 50 | -7 | +0 | +0 | +1 | +2 | -0.3 |
| 2028 | 24 | MLB CTX | NYY | 30% | 34 | 31 | 6 | 1 | 0 | 1 | 2 | 9 | 1 | 1 | 0 | 184 | 255 | 276 | 531 | 92 | 243 | 26 | 6 | 243 | 50 | -2 | +0 | +0 | +0 | +1 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 34 | 31 | 6 | 1 | 0 | 1 | 2 | 9 | 1 | 1 | 0 | 194 | 265 | 323 | 587 | 129 | 238 | 26 | 6 | 243 | 44 | -2 | +0 | +0 | +0 | +1 | -0.1 | |
| / 162G | — | A+C | — | 650 | 593 | 114 | 19 | 0 | 19 | 38 | 172 | 19 | 19 | 0 | 192 | 263 | 320 | 583 | 128 | 236 | 26 | 6 | 243 | 44 | -39 | +4 | +0 | +7 | +14 | -1.4 | |
| Career | — | MLE | — | 933 | 797 | 133 | 21 | 3 | 8 | 76 | 277 | 53 | 92 | 25 | 167 | 283 | 231 | 514 | 64 | 241 | 30 | 8 | 233 | 44 | -11 | +1 | +0 | +2 | +4 | -0.5 | |
| / 162G | — | MLE | — | 650 | 555 | 93 | 15 | 2 | 6 | 53 | 193 | 37 | 64 | 17 | 168 | 284 | 234 | 518 | 67 | 241 | 30 | 8 | 233 | 44 | -40 | +2 | +0 | +7 | +14 | -1.7 | |
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 ATampa Tarpons · 74 PAwOBA .287 → .224 (−63)K% 18.9% → 25.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.92% | ÷1.000 | ×1.360 | — | — | 25.73% |
| BB% (unintentional) /PA | 9.46% | ÷1.000 | ×0.690 | — | — | 6.53% |
| HBP% /PA | 4.05% | — | ×0.780 | — | — | 3.16% |
| Singles /BIP | 14.29% | ÷1.000 | ×0.920 | ×0.950 | — | 12.49% |
| Doubles /BIP | 10.20% | ÷1.000 | ×0.830 | ×0.950 | — | 8.05% |
| Triples /BIP | 2.04% | ÷1.000 | ×0.910 | ×0.950 | — | 1.76% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.800 | — | — | 0.00% |
Factors used: level-wide A 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 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 ×0.950.
Result: wOBA .287 → .224; ISO .111 → .088; BABIP .260 → .218. 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).
2026 A+Hudson Valley Renegades · 21 PAwOBA .233 → .165 (−69)K% 38.1% → 49.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 38.10% | ÷1.000 | ×1.310 | — | — | 49.90% |
| BB% (unintentional) /PA | 9.52% | ÷1.000 | ×0.600 | — | ×1.012 | 5.78% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×1.012 | 0.00% |
| Singles /BIP | 36.36% | ÷1.000 | ×0.870 | — | ×1.012 | 32.02% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.012 | 0.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.850 | — | ×1.012 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.880 | — | ×1.012 | 0.00% |
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).
Result: wOBA .233 → .165; ISO .000 → .000; BABIP .364 → .320. 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 · 140 PAwOBA .325 → .212 (−112)K% 22.1% → 31.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.14% | ÷1.001 | ×1.440 | — | — | 31.87% |
| BB% (unintentional) /PA | 7.14% | ÷1.000 | ×0.620 | — | ×0.985 | 4.36% |
| HBP% /PA | 9.29% | — | ×0.720 | — | ×0.985 | 6.59% |
| Singles /BIP | 30.12% | ÷1.056 | ×0.820 | ×0.950 | ×0.985 | 21.88% |
| Doubles /BIP | 2.41% | ÷1.043 | ×0.720 | ×0.950 | ×0.985 | 1.56% |
| Triples /BIP | 0.00% | ÷1.008 | ×0.720 | ×0.950 | ×0.985 | 0.00% |
| Home runs /BIP | 2.41% | ÷2.059 | ×0.780 | — | ×0.985 | 0.90% |
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 ×0.950.
Result: wOBA .325 → .212; ISO .070 → .030; BABIP .325 → .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).
2025 ATampa Tarpons · 58 PAwOBA .272 → .211 (−61)K% 27.6% → 37.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.59% | ÷1.000 | ×1.360 | — | — | 37.53% |
| BB% (unintentional) /PA | 12.07% | ÷0.971 | ×0.690 | — | ×1.015 | 8.70% |
| HBP% /PA | 5.17% | — | ×0.780 | — | ×1.015 | 4.09% |
| Singles /BIP | 19.35% | ÷1.119 | ×0.920 | — | ×1.015 | 16.15% |
| Doubles /BIP | 3.23% | ÷1.046 | ×0.830 | — | ×1.015 | 2.60% |
| Triples /BIP | 0.00% | ÷0.913 | ×0.910 | — | ×1.015 | 0.00% |
| Home runs /BIP | 3.23% | ÷0.842 | ×0.800 | — | ×1.015 | 3.11% |
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).
Result: wOBA .272 → .211; ISO .085 → .073; BABIP .226 → .187. 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 · 95 PAwOBA .376 → .253 (−123)K% 23.2% → 34.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.16% | ÷0.972 | ×1.440 | — | — | 34.29% |
| BB% (unintentional) /PA | 7.37% | ÷0.988 | ×0.620 | — | ×0.995 | 4.60% |
| HBP% /PA | 7.37% | — | ×0.720 | — | ×0.995 | 5.28% |
| Singles /BIP | 37.29% | ÷1.002 | ×0.820 | ×0.957 | ×0.995 | 29.06% |
| Doubles /BIP | 3.39% | ÷1.087 | ×0.720 | ×0.957 | ×0.995 | 2.14% |
| Triples /BIP | 0.00% | ÷0.970 | ×0.720 | ×0.957 | ×0.995 | 0.00% |
| Home runs /BIP | 3.39% | ÷1.142 | ×0.780 | — | ×0.995 | 2.30% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.957.
Result: wOBA .376 → .253; ISO .099 → .059; BABIP .421 → .319. 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 DSLDSL NYY Yankees · 184 PAwOBA .401 → .264 (−137)K% 17.9% → 22.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.93% | ÷0.975 | ×1.220 | — | — | 22.43% |
| BB% (unintentional) /PA | 16.85% | ÷1.035 | ×0.700 | — | ×0.995 | 11.34% |
| HBP% /PA | 9.24% | — | ×0.700 | — | ×0.995 | 6.44% |
| Singles /BIP | 25.74% | ÷0.970 | ×0.680 | ×0.950 | ×0.995 | 17.06% |
| Doubles /BIP | 9.90% | ÷1.041 | ×0.600 | ×0.950 | ×0.995 | 5.40% |
| Triples /BIP | 0.00% | ÷1.083 | ×0.600 | ×0.950 | ×0.995 | 0.00% |
| Home runs /BIP | 1.98% | ÷1.724 | ×0.470 | — | ×0.995 | 0.54% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 245, 1B 94, 2B 108, 3B 117, K 95, BB 107 — 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 ×0.950.
Result: wOBA .401 → .264; ISO .119 → .058; BABIP .356 → .222. 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 DSLDSL NYY Yankees · 155 PAwOBA .349 → .221 (−129)K% 25.2% → 31.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.16% | ÷0.982 | ×1.220 | — | — | 31.27% |
| BB% (unintentional) /PA | 18.06% | ÷0.984 | ×0.700 | — | ×1.008 | 12.95% |
| HBP% /PA | 3.23% | — | ×0.700 | — | ×1.008 | 2.27% |
| Singles /BIP | 21.69% | ÷0.994 | ×0.680 | ×0.950 | ×1.008 | 14.20% |
| Doubles /BIP | 6.02% | ÷1.101 | ×0.600 | ×0.950 | ×1.008 | 3.14% |
| Triples /BIP | 2.41% | ÷0.986 | ×0.600 | ×0.950 | ×1.008 | 1.40% |
| Home runs /BIP | 3.61% | ÷1.195 | ×0.470 | — | ×1.008 | 1.43% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 139, 1B 99, 2B 120, 3B 97, K 96, BB 97 — 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 ×0.950.
Result: wOBA .349 → .221; ISO .148 → .070; BABIP .312 → .190. 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 — .