Glenn Santiago
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 22 | A+/A/INTL2 orgs | 370 | .257/.361/.378 | 6 | 8 | 68 | — | .214/.290/.306 |
| 2024 | 23 | AA/A+TOR | 193 | .187/.268/.269 | 3 | 4 | 15 | — | .153/.216/.210 |
| 2025 | 24 | INTLSenadores de … | 51 | .089/.109/.133 | 0 | 0 | -46 | — |
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) | |||||||||||||||||||||||||||||||
| 2019 | 18 | ROK | DSL Blue Jays | — | 160 | 131 | 31 | 7 | 4 | 0 | 19 | 23 | 7 | 13 | 2 | 237 | 363 | 351 | 714 | 115 | 284 | 14 | 12 | 325 | 29 | — | — | — | — | — | — |
| 2020 | 19 | INTL | RA12 | — | 44 | 36 | 7 | 1 | 0 | 0 | 5 | 15 | 1 | 3 | 1 | 194 | 310 | 222 | 532 | 28 | 318 | 34 | 11 | 249 | 54 | — | — | — | — | — | — |
| 2021 | 20 | ROK | FCL Blue Jays | — | 89 | 71 | 18 | 3 | 0 | 2 | 11 | 9 | 2 | 3 | 1 | 254 | 369 | 380 | 749 | 127 | 246 | 10 | 12 | 325 | 64 | — | — | — | — | — | — |
| 2021 | 20 | INTL | Indios de Mayaguez | — | 40 | 36 | 7 | 1 | 0 | 0 | 2 | 9 | 0 | 2 | 0 | 194 | 237 | 222 | 459 | 28 | 250 | 22 | 5 | 203 | 23 | — | — | — | — | — | — |
| 2022 | 21 | A+ | Vancouver Canadians | — | 126 | 115 | 24 | 4 | 2 | 1 | 9 | 32 | 2 | 1 | 2 | 209 | 278 | 304 | 582 | 96 | 280 | 25 | 7 | 267 | 26 | — | — | — | — | — | — |
| 2022 | 21 | A | Dunedin Blue Jays | — | 79 | 71 | 19 | 5 | 0 | 2 | 7 | 22 | 0 | 3 | 1 | 268 | 333 | 423 | 756 | 155 | 354 | 28 | 9 | 333 | 63 | — | — | — | — | — | — |
| 2023 | 22 | A+ | Vancouver Canadians | — | 29 | 26 | 8 | 2 | 1 | 1 | 3 | 9 | 0 | 0 | 0 | 308 | 379 | 577 | 956 | 269 | 438 | 31 | 10 | 413 | 88 | — | — | — | — | — | — |
| 2023 | 22 | A | Dunedin Blue Jays | — | 296 | 249 | 62 | 9 | 2 | 5 | 38 | 63 | 5 | 8 | 1 | 249 | 360 | 361 | 721 | 112 | 308 | 21 | 13 | 328 | 61 | — | — | — | — | — | — |
| 2023 | 22 | INTL | Indios de Mayaguez | — | 45 | 40 | 11 | 3 | 0 | 0 | 5 | 11 | 0 | 0 | 0 | 275 | 356 | 350 | 706 | 75 | 379 | 24 | 11 | 324 | 105 | — | — | — | — | — | — |
| 2024 | 23 | AA | New Hampshire Fisher Cats | — | 63 | 54 | 7 | 2 | 0 | 1 | 6 | 15 | 2 | 1 | 0 | 130 | 242 | 222 | 464 | 93 | 154 | 24 | 10 | 221 | 7 | — | — | — | — | — | — |
| 2024 | 23 | A+ | Vancouver Canadians | — | 130 | 117 | 25 | 3 | 0 | 2 | 11 | 33 | 0 | 3 | 2 | 214 | 281 | 291 | 572 | 77 | 277 | 25 | 8 | 260 | 19 | — | — | — | — | — | — |
| 2025 | 24 | INTL | Senadores de San Juan | — | 51 | 45 | 4 | 2 | 0 | 0 | 1 | 10 | 0 | 0 | 1 | 89 | 109 | 133 | 242 | 44 | 111 | 20 | 2 | 100 | -46 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 18 | ROK MLE | DSL Blue Jays | — | 160 | 137 | 20 | 4 | 2 | 0 | 13 | 28 | 7 | 13 | 2 | 146 | 255 | 204 | 459 | 58 | 175 | 18 | 8 | 211 | 29 | — | — | — | — | — | — |
| 2021 | 20 | ROK MLE | FCL Blue Jays | — | 89 | 75 | 16 | 2 | 0 | 2 | 7 | 13 | 2 | 3 | 1 | 213 | 298 | 320 | 618 | 107 | 195 | 15 | 8 | 263 | 64 | — | — | — | — | — | — |
| 2022 | 21 | A+ MLE | Vancouver Canadians | — | 126 | 118 | 20 | 2 | 2 | 1 | 6 | 43 | 2 | 1 | 2 | 169 | 222 | 246 | 468 | 76 | 258 | 34 | 5 | 206 | 26 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | Dunedin Blue Jays | — | 79 | 73 | 16 | 4 | 0 | 2 | 5 | 29 | 0 | 3 | 1 | 219 | 269 | 356 | 625 | 137 | 323 | 37 | 6 | 262 | 63 | — | — | — | — | — | — |
| 2023 | 22 | A+ MLE | Vancouver Canadians | — | 29 | 27 | 7 | 2 | 1 | 1 | 2 | 12 | 0 | 0 | 0 | 259 | 310 | 519 | 829 | 259 | 384 | 41 | 7 | 298 | 88 | — | — | — | — | — | — |
| 2023 | 22 | A MLE | Dunedin Blue Jays | — | 296 | 263 | 55 | 7 | 2 | 3 | 24 | 84 | 5 | 8 | 1 | 209 | 288 | 285 | 573 | 76 | 283 | 28 | 8 | 259 | 61 | — | — | — | — | — | — |
| 2024 | 23 | AA MLE | New Hampshire Fisher Cats | — | 63 | 56 | 7 | 2 | 0 | 1 | 4 | 18 | 2 | 1 | 0 | 125 | 210 | 214 | 424 | 89 | 142 | 29 | 6 | 178 | 7 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | Vancouver Canadians | — | 130 | 120 | 20 | 2 | 0 | 1 | 8 | 46 | 0 | 3 | 2 | 167 | 219 | 208 | 427 | 42 | 244 | 35 | 6 | 197 | 19 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | DSL Blue Jays | — | 160 | 137 | 20 | 4 | 2 | 0 | 13 | 28 | 7 | 13 | 2 | 146 | 255 | 204 | 459 | 58 | 182 | 18 | 8 | 211 | 29 | — | — | — | — | — | — |
| 2019 | 18 | ROK RAW | DSL Blue Jays | — | 160 | 131 | 31 | 7 | 4 | 0 | 19 | 23 | 7 | 13 | 2 | 237 | 363 | 351 | 714 | 115 | 284 | 14 | 12 | 325 | 29 | — | — | — | — | — | — |
| 2020 | 19 | INTL MLE | RA12 | — | 44 | 36 | 7 | 1 | 0 | 0 | 5 | 15 | 1 | 3 | 1 | 194 | 310 | 222 | 532 | 28 | 318 | 34 | 11 | — | — | — | — | — | — | — | — |
| 2020 | 19 | INTL RAW | RA12 | — | 44 | 36 | 7 | 1 | 0 | 0 | 5 | 15 | 1 | 3 | 1 | 194 | 310 | 222 | 532 | 28 | 318 | 34 | 11 | 249 | 54 | — | — | — | — | — | — |
| 2021 | 20 | ROK MLE | 2 teams | — | 129 | 110 | 22 | 3 | 0 | 2 | 10 | 19 | 2 | 5 | 1 | 200 | 279 | 282 | 561 | 82 | 211 | 15 | 8 | 263 | 64 | — | — | — | — | — | — |
| 2021 | 20 | ROK RAW | 2 teams | — | 129 | 107 | 25 | 4 | 0 | 2 | 13 | 18 | 2 | 5 | 1 | 234 | 328 | 327 | 655 | 93 | 247 | 14 | 10 | 287 | 64 | — | — | — | — | — | — |
| 2022 | 21 | A+ MLE | 2 teams | — | 205 | 191 | 35 | 6 | 2 | 2 | 11 | 72 | 2 | 4 | 3 | 183 | 235 | 267 | 502 | 84 | 280 | 35 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2022 | 21 | A+ RAW | 2 teams | — | 205 | 186 | 43 | 9 | 2 | 3 | 16 | 54 | 2 | 4 | 3 | 231 | 299 | 349 | 648 | 118 | 308 | 26 | 8 | 292 | 40 | — | — | — | — | — | — |
| 2023 | 22 | A MLE | 3 teams | — | 370 | 332 | 70 | 10 | 3 | 4 | 29 | 109 | 5 | 8 | 1 | 211 | 284 | 295 | 579 | 84 | 296 | 29 | 8 | 262 | 64 | — | — | — | — | — | — |
| 2023 | 22 | A RAW | 3 teams | — | 370 | 315 | 81 | 14 | 3 | 6 | 46 | 83 | 5 | 8 | 1 | 257 | 361 | 378 | 738 | 121 | 326 | 22 | 12 | 334 | 64 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | 2 teams | — | 193 | 176 | 26 | 4 | 0 | 2 | 12 | 64 | 2 | 4 | 2 | 148 | 211 | 205 | 415 | 57 | 214 | 33 | 6 | 191 | 15 | — | — | — | — | — | — |
| 2024 | 23 | A+ RAW | 2 teams | — | 193 | 171 | 32 | 5 | 0 | 3 | 17 | 48 | 2 | 4 | 2 | 187 | 268 | 269 | 537 | 82 | 238 | 25 | 9 | 247 | 15 | — | — | — | — | — | — |
| 2025 | 24 | INTL MLE | Senadores de San Juan | — | 51 | 45 | 4 | 2 | 0 | 0 | 1 | 10 | 0 | 0 | 1 | 89 | 109 | 133 | 242 | 44 | 111 | 20 | 2 | — | — | — | — | — | — | — | — |
| 2025 | 24 | INTL RAW | Senadores de San Juan | — | 51 | 45 | 4 | 2 | 0 | 0 | 1 | 10 | 0 | 0 | 1 | 89 | 109 | 133 | 242 | 44 | 111 | 20 | 2 | 100 | -46 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | DSL Blue Jays | — | 160 | 139 | 20 | 4 | 2 | 0 | 13 | 28 | 7 | 13 | 2 | 144 | 255 | 201 | 456 | 58 | 175 | 18 | 8 | 211 | 29 | — | — | — | — | — | — |
| 2021 | 20 | ROK MLE | 2 teams | — | 129 | 116 | 22 | 3 | 0 | 2 | 10 | 19 | 2 | 5 | 1 | 190 | 279 | 267 | 546 | 78 | 195 | 15 | 8 | 263 | 64 | — | — | — | — | — | — |
| 2022 | 21 | A+ MLE | 2 teams | — | 205 | 190 | 35 | 6 | 2 | 2 | 11 | 72 | 2 | 4 | 3 | 184 | 235 | 268 | 504 | 84 | 283 | 35 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2023 | 22 | A MLE | 3 teams | — | 370 | 333 | 70 | 10 | 3 | 4 | 29 | 109 | 5 | 8 | 1 | 210 | 284 | 294 | 578 | 84 | 292 | 29 | 8 | 262 | 64 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | 2 teams | — | 193 | 177 | 26 | 4 | 0 | 2 | 12 | 64 | 2 | 4 | 2 | 147 | 211 | 203 | 414 | 56 | 211 | 33 | 6 | 191 | 15 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 23 | A+ MLE | 2 teams | — | 193 | 177 | 26 | 4 | 0 | 2 | 12 | 64 | 2 | 4 | 2 | 147 | 211 | 203 | 414 | 56 | 211 | 33 | 6 | 191 | 15 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1152 | 1027 | 184 | 30 | 7 | 10 | 81 | 317 | 19 | 37 | 11 | 179 | 252 | 251 | 503 | 72 | 243 | 28 | 7 | 216 | 32 | -93 | +3 | +0 | +12 | +25 | -5.4 | |
| / 162G | — | MLE | — | 650 | 579 | 104 | 17 | 4 | 6 | 46 | 179 | 11 | 21 | 6 | 180 | 253 | 254 | 507 | 74 | 243 | 28 | 7 | 216 | 32 | -53 | +2 | +0 | +7 | +14 | -3.0 | |
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 A+Vancouver Canadians · 130 PAwOBA .255 → .197 (−58)K% 25.4% → 35.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.38% | ÷0.980 | ×1.350 | — | — | 34.95% |
| BB% (unintentional) /PA | 8.46% | ÷0.974 | ×0.710 | — | ×0.988 | 6.09% |
| HBP% /PA | 0.00% | — | ×0.810 | — | ×0.988 | 0.00% |
| Singles /BIP | 23.81% | ÷0.964 | ×0.910 | ×0.973 | ×0.988 | 21.62% |
| Doubles /BIP | 3.57% | ÷1.071 | ×0.830 | ×0.973 | ×0.988 | 2.66% |
| Triples /BIP | 0.00% | ÷0.936 | ×0.820 | ×0.973 | ×0.988 | 0.00% |
| Home runs /BIP | 2.38% | ÷1.062 | ×0.830 | — | ×0.988 | 1.84% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 93, 2B 114, 3B 87, K 96, BB 95 — 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 ×0.973.
Result: wOBA .255 → .197; ISO .077 → .054; BABIP .277 → .244. 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 AANew Hampshire Fisher Cats · 63 PAwOBA .219 → .178 (−41)K% 23.8% → 29.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.81% | ÷0.995 | ×1.220 | — | — | 29.20% |
| BB% (unintentional) /PA | 9.52% | ÷0.990 | ×0.700 | — | ×1.012 | 6.81% |
| HBP% /PA | 3.17% | — | ×0.850 | — | ×1.012 | 2.73% |
| Singles /BIP | 10.26% | ÷1.015 | ×0.970 | ×1.008 | ×1.012 | 10.01% |
| Doubles /BIP | 5.13% | ÷1.051 | ×0.860 | ×1.008 | ×1.012 | 4.28% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | ×1.008 | ×1.012 | 0.00% |
| Home runs /BIP | 2.56% | ÷1.145 | ×0.780 | — | ×1.012 | 1.77% |
Factors used: league row EL. Park (home-season share, regressed): HR 129, 1B 103, 2B 110, 3B 130, K 99, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.
Result: wOBA .219 → .178; ISO .093 → .069; BABIP .154 → .142. 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 ADunedin Blue Jays · 296 PAwOBA .323 → .259 (−64)K% 21.3% → 28.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.28% | ÷1.018 | ×1.360 | — | — | 28.45% |
| BB% (unintentional) /PA | 12.50% | ÷1.062 | ×0.690 | — | ×0.990 | 8.04% |
| HBP% /PA | 1.69% | — | ×0.780 | — | ×0.990 | 1.30% |
| Singles /BIP | 24.73% | ÷0.988 | ×0.920 | ×1.034 | ×0.990 | 23.58% |
| Doubles /BIP | 4.84% | ÷1.034 | ×0.830 | ×1.034 | ×0.990 | 3.97% |
| Triples /BIP | 1.08% | ÷1.111 | ×0.910 | ×1.034 | ×0.990 | 0.90% |
| Home runs /BIP | 2.69% | ÷1.279 | ×0.800 | — | ×0.990 | 1.67% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 98, 2B 107, 3B 122, K 104, BB 112 — 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 ×1.034.
Result: wOBA .323 → .259; ISO .112 → .080; BABIP .308 → .283. 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 A+Vancouver Canadians · 29 PAwOBA .402 → .298 (−104)K% 31.0% → 40.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.03% | ÷1.028 | ×1.350 | — | — | 40.76% |
| BB% (unintentional) /PA | 10.34% | ÷0.992 | ×0.710 | — | ×0.998 | 7.39% |
| HBP% /PA | 0.00% | — | ×0.810 | — | ×0.998 | 0.00% |
| Singles /BIP | 23.53% | ÷1.006 | ×0.910 | — | ×0.998 | 21.25% |
| Doubles /BIP | 11.76% | ÷0.949 | ×0.830 | — | ×0.998 | 10.27% |
| Triples /BIP | 5.88% | ÷0.900 | ×0.820 | — | ×0.998 | 5.35% |
| Home runs /BIP | 5.88% | ÷1.253 | ×0.830 | — | ×0.998 | 3.89% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 151, 1B 101, 2B 90, 3B 80, K 106, BB 98 — 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).
Result: wOBA .402 → .298; ISO .269 → .189; BABIP .438 → .384. 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+Vancouver Canadians · 126 PAwOBA .260 → .206 (−53)K% 25.4% → 34.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.40% | ÷1.003 | ×1.350 | — | — | 34.18% |
| BB% (unintentional) /PA | 7.14% | ÷1.037 | ×0.710 | — | ×1.012 | 4.95% |
| HBP% /PA | 1.59% | — | ×0.810 | — | ×1.012 | 1.30% |
| Singles /BIP | 20.48% | ÷0.950 | ×0.910 | ×1.010 | ×1.012 | 20.04% |
| Doubles /BIP | 4.82% | ÷1.254 | ×0.830 | ×1.010 | ×1.012 | 3.26% |
| Triples /BIP | 2.41% | ÷0.900 | ×0.820 | ×1.010 | ×1.012 | 2.24% |
| Home runs /BIP | 1.20% | ÷0.952 | ×0.830 | — | ×1.012 | 1.06% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 90, 2B 151, 3B 80, K 101, BB 107 — 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 ×1.010.
Result: wOBA .260 → .206; ISO .096 → .071; BABIP .280 → .258. 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 ADunedin Blue Jays · 79 PAwOBA .328 → .262 (−66)K% 27.8% → 37.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.85% | ÷1.017 | ×1.360 | — | — | 37.24% |
| BB% (unintentional) /PA | 8.86% | ÷1.050 | ×0.690 | — | — | 5.82% |
| HBP% /PA | 0.00% | — | ×0.780 | — | — | 0.00% |
| Singles /BIP | 24.49% | ÷1.005 | ×0.920 | ×1.028 | — | 23.04% |
| Doubles /BIP | 10.20% | ÷0.983 | ×0.830 | ×1.028 | — | 8.86% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | ×1.028 | — | 0.00% |
| Home runs /BIP | 4.08% | ÷0.916 | ×0.800 | — | — | 3.56% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 101, 2B 97, 3B 80, K 103, BB 110 — 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 ×1.028.
Result: wOBA .328 → .262; ISO .155 → .124; BABIP .354 → .323. 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 ROKFCL Blue Jays · 89 PAwOBA .336 → .263 (−73)K% 10.1% → 14.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.11% | ÷1.000 | ×1.440 | — | — | 14.56% |
| BB% (unintentional) /PA | 12.36% | ÷1.000 | ×0.620 | — | ×0.985 | 7.55% |
| HBP% /PA | 2.25% | — | ×0.720 | — | ×0.985 | 1.59% |
| Singles /BIP | 20.97% | ÷1.000 | ×0.820 | ×1.004 | ×0.985 | 17.00% |
| Doubles /BIP | 4.84% | ÷1.000 | ×0.720 | ×1.004 | ×0.985 | 3.44% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.004 | ×0.985 | 0.00% |
| Home runs /BIP | 3.23% | ÷1.000 | ×0.780 | — | ×0.985 | 2.48% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.
Result: wOBA .336 → .263; ISO .127 → .104; BABIP .246 → .195. 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 DSLDSL Blue Jays · 160 PAwOBA .319 → .211 (−108)K% 14.4% → 17.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.37% | ÷1.000 | ×1.220 | — | — | 17.54% |
| BB% (unintentional) /PA | 11.88% | ÷1.000 | ×0.700 | — | ×0.995 | 8.27% |
| HBP% /PA | 4.38% | — | ×0.700 | — | ×0.995 | 3.05% |
| Singles /BIP | 18.52% | ÷1.000 | ×0.680 | ×0.950 | ×0.995 | 11.90% |
| Doubles /BIP | 6.48% | ÷1.000 | ×0.600 | ×0.950 | ×0.995 | 3.68% |
| Triples /BIP | 3.70% | ÷1.000 | ×0.600 | ×0.950 | ×0.995 | 2.10% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×0.995 | 0.00% |
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 ×0.950.
Result: wOBA .319 → .211; ISO .115 → .068; BABIP .284 → .175. 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 — .