Diego Infante
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 23 | AAA/AATB | 380 | .254/.310/.406 | 12 | 15 | 64 | — | .226/.264/.340 |
| 2024 | 24 | AAA/AA/ROK/INTL2 orgs | 347 | .277/.371/.370 | 6 | 8 | 90 | — | .222/.280/.258 |
| 2025 | 25 | INTLCaribes de An… | 156 | .279/.400/.450 | 6 | 1 | 144 | — |
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 | 17 | ROK | DSL Rays 2 | — | 176 | 161 | 41 | 10 | 2 | 0 | 14 | 33 | 0 | 10 | 1 | 255 | 314 | 342 | 656 | 87 | 320 | 19 | 8 | 296 | 15 | — | — | — | — | — | — |
| 2018 | 18 | ROK | GCL Rays | — | 133 | 125 | 29 | 4 | 1 | 1 | 8 | 34 | 0 | 6 | 0 | 232 | 278 | 304 | 582 | 72 | 311 | 26 | 6 | 265 | 9 | — | — | — | — | — | — |
| 2020 | 20 | INTL | Tiburones de La Guaira | — | 52 | 47 | 10 | 2 | 0 | 0 | 4 | 18 | 0 | 0 | 0 | 213 | 275 | 255 | 530 | 43 | 333 | 35 | 8 | 242 | 50 | — | — | — | — | — | — |
| 2021 | 21 | A+ | Bowling Green Hot Rods | — | 21 | 20 | 10 | 2 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 500 | 524 | 600 | 1.124 | 100 | 625 | 19 | 5 | 500 | 163 | — | — | — | — | — | — |
| 2021 | 21 | A | Charleston RiverDogs | — | 438 | 371 | 110 | 20 | 5 | 16 | 56 | 114 | 6 | 20 | 8 | 296 | 397 | 507 | 904 | 210 | 382 | 26 | 13 | 395 | 96 | — | — | — | — | — | — |
| 2022 | 22 | AAA | Durham Bulls | — | 16 | 16 | 3 | 0 | 0 | 0 | 0 | 6 | 0 | 2 | 0 | 188 | 188 | 188 | 375 | 300 | 38 | 0 | 170 | -17 | — | — | — | — | — | — | |
| 2022 | 22 | AA | Montgomery Biscuits | — | 163 | 143 | 39 | 9 | 0 | 2 | 19 | 47 | 0 | 4 | 3 | 273 | 358 | 378 | 736 | 105 | 389 | 29 | 12 | 333 | 80 | — | — | — | — | — | — |
| 2022 | 22 | A+ | Bowling Green Hot Rods | — | 294 | 265 | 75 | 14 | 2 | 11 | 25 | 82 | 0 | 4 | 3 | 283 | 345 | 475 | 820 | 192 | 364 | 28 | 9 | 357 | 71 | — | — | — | — | — | — |
| 2022 | 22 | INTL | Tiburones de La Guaira | — | 57 | 48 | 7 | 1 | 0 | 1 | 9 | 10 | 0 | 2 | 0 | 146 | 281 | 229 | 510 | 83 | 162 | 18 | 16 | 249 | 54 | — | — | — | — | — | — |
| 2023 | 23 | AAA | Durham Bulls | — | 96 | 91 | 17 | 3 | 0 | 1 | 3 | 35 | 1 | 2 | 0 | 187 | 221 | 253 | 474 | 66 | 286 | 36 | 3 | 214 | 8 | — | — | — | — | — | — |
| 2023 | 23 | AA | Montgomery Biscuits | — | 284 | 259 | 72 | 14 | 0 | 11 | 22 | 73 | 2 | 13 | 5 | 278 | 339 | 459 | 799 | 181 | 347 | 26 | 8 | 353 | 83 | — | — | — | — | — | — |
| 2024 | 24 | AAA | Jacksonville Jumbo Shrimp | — | 92 | 78 | 16 | 2 | 0 | 0 | 14 | 39 | 0 | 1 | 0 | 205 | 326 | 231 | 557 | 26 | 410 | 42 | 15 | 272 | 28 | — | — | — | — | — | — |
| 2024 | 24 | AA | Pensacola Blue Wahoos | — | 99 | 93 | 27 | 1 | 0 | 1 | 6 | 30 | 0 | 4 | 0 | 290 | 333 | 333 | 667 | 43 | 419 | 30 | 6 | 305 | 61 | — | — | — | — | — | — |
| 2024 | 24 | ROK | FCL Marlins | — | 16 | 15 | 6 | 2 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 400 | 438 | 533 | 971 | 133 | 500 | 19 | 6 | 430 | 76 | — | — | — | — | — | — |
| 2024 | 24 | INTL | Caribes de Anzoategui | — | 140 | 114 | 34 | 5 | 0 | 5 | 21 | 34 | 3 | 3 | 0 | 298 | 420 | 474 | 894 | 175 | 377 | 24 | 15 | 396 | 154 | — | — | — | — | — | — |
| 2025 | 25 | INTL | Caribes de Anzoategui | — | 156 | 129 | 36 | 4 | 0 | 6 | 23 | 35 | 3 | 1 | 0 | 279 | 400 | 450 | 850 | 171 | 337 | 22 | 15 | 381 | 144 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK MLE | DSL Rays 2 | — | 176 | 165 | 27 | 6 | 1 | 0 | 10 | 40 | 0 | 10 | 1 | 164 | 211 | 212 | 424 | 48 | 214 | 23 | 6 | 191 | 15 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | GCL Rays | — | 133 | 128 | 22 | 3 | 1 | 1 | 5 | 49 | 0 | 6 | 0 | 172 | 203 | 234 | 437 | 62 | 259 | 37 | 4 | 181 | 9 | — | — | — | — | — | — |
| 2021 | 21 | A+ MLE | Bowling Green Hot Rods | — | 21 | 20 | 8 | 1 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 400 | 429 | 450 | 879 | 50 | 574 | 24 | 5 | 409 | 163 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | Charleston RiverDogs | — | 438 | 392 | 95 | 18 | 4 | 12 | 35 | 160 | 6 | 20 | 8 | 242 | 314 | 401 | 715 | 158 | 360 | 37 | 8 | 310 | 96 | — | — | — | — | — | — |
| 2022 | 22 | AAA MLE | Durham Bulls | — | 16 | 16 | 3 | 0 | 0 | 0 | 0 | 7 | 0 | 2 | 0 | 188 | 188 | 188 | 375 | 297 | 44 | 0 | 143 | -17 | — | — | — | — | — | — | |
| 2022 | 22 | AA MLE | Montgomery Biscuits | — | 163 | 148 | 37 | 8 | 0 | 2 | 14 | 56 | 0 | 4 | 3 | 250 | 315 | 345 | 659 | 95 | 376 | 34 | 9 | 286 | 80 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | Bowling Green Hot Rods | — | 294 | 276 | 62 | 10 | 2 | 9 | 14 | 107 | 0 | 4 | 3 | 225 | 262 | 373 | 635 | 149 | 314 | 36 | 5 | 273 | 71 | — | — | — | — | — | — |
| 2023 | 23 | AAA MLE | Durham Bulls | — | 96 | 92 | 15 | 2 | 0 | 1 | 2 | 42 | 1 | 2 | 0 | 163 | 189 | 217 | 407 | 54 | 282 | 44 | 2 | 180 | 8 | — | — | — | — | — | — |
| 2023 | 23 | AA MLE | Montgomery Biscuits | — | 284 | 267 | 66 | 12 | 0 | 8 | 14 | 87 | 2 | 13 | 5 | 247 | 290 | 382 | 672 | 135 | 333 | 31 | 5 | 291 | 83 | — | — | — | — | — | — |
| 2024 | 24 | AAA MLE | Jacksonville Jumbo Shrimp | — | 92 | 82 | 14 | 2 | 0 | 0 | 10 | 47 | 0 | 1 | 0 | 171 | 261 | 195 | 456 | 24 | 385 | 51 | 11 | 210 | 28 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | Pensacola Blue Wahoos | — | 99 | 95 | 25 | 1 | 0 | 1 | 4 | 35 | 0 | 4 | 0 | 263 | 293 | 305 | 598 | 42 | 406 | 35 | 4 | 259 | 61 | — | — | — | — | — | — |
| 2024 | 24 | ROK MLE | FCL Marlins | — | 16 | 15 | 4 | 1 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 267 | 312 | 333 | 646 | 67 | 374 | 25 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Rays 2 | — | 176 | 165 | 27 | 6 | 1 | 0 | 10 | 40 | 0 | 10 | 1 | 164 | 211 | 212 | 424 | 48 | 216 | 23 | 6 | 191 | 15 | — | — | — | — | — | — |
| 2017 | 17 | ROK RAW | DSL Rays 2 | — | 176 | 161 | 41 | 10 | 2 | 0 | 14 | 33 | 0 | 10 | 1 | 255 | 314 | 342 | 656 | 87 | 320 | 19 | 8 | 296 | 15 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | GCL Rays | — | 133 | 128 | 22 | 3 | 1 | 1 | 5 | 49 | 0 | 6 | 0 | 172 | 203 | 234 | 437 | 62 | 269 | 37 | 4 | 181 | 9 | — | — | — | — | — | — |
| 2018 | 18 | ROK RAW | GCL Rays | — | 133 | 125 | 29 | 4 | 1 | 1 | 8 | 34 | 0 | 6 | 0 | 232 | 278 | 304 | 582 | 72 | 311 | 26 | 6 | 265 | 9 | — | — | — | — | — | — |
| 2020 | 20 | INTL MLE | Tiburones de La Guaira | — | 52 | 47 | 10 | 2 | 0 | 0 | 4 | 18 | 0 | 0 | 0 | 213 | 275 | 255 | 530 | 43 | 333 | 35 | 8 | — | — | — | — | — | — | — | — |
| 2020 | 20 | INTL RAW | Tiburones de La Guaira | — | 52 | 47 | 10 | 2 | 0 | 0 | 4 | 18 | 0 | 0 | 0 | 213 | 275 | 255 | 530 | 43 | 333 | 35 | 8 | 242 | 50 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | 2 teams | — | 459 | 412 | 104 | 19 | 4 | 12 | 36 | 166 | 6 | 20 | 8 | 252 | 322 | 405 | 727 | 153 | 385 | 36 | 8 | 315 | 99 | — | — | — | — | — | — |
| 2021 | 21 | A RAW | 2 teams | — | 459 | 391 | 120 | 22 | 5 | 16 | 57 | 118 | 6 | 20 | 8 | 307 | 403 | 512 | 915 | 205 | 397 | 26 | 12 | 400 | 99 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | 4 teams | — | 530 | 494 | 113 | 20 | 2 | 12 | 31 | 191 | 0 | 12 | 6 | 229 | 274 | 350 | 624 | 121 | 341 | 36 | 6 | 273 | 71 | — | — | — | — | — | — |
| 2022 | 22 | A+ RAW | 4 teams | — | 530 | 472 | 124 | 24 | 2 | 14 | 53 | 145 | 0 | 12 | 6 | 263 | 337 | 411 | 748 | 148 | 346 | 27 | 10 | 332 | 71 | — | — | — | — | — | — |
| 2023 | 23 | AA MLE | 2 teams | — | 380 | 359 | 82 | 15 | 0 | 9 | 16 | 129 | 3 | 15 | 5 | 228 | 267 | 345 | 613 | 117 | 327 | 34 | 4 | 263 | 64 | — | — | — | — | — | — |
| 2023 | 23 | AA RAW | 2 teams | — | 380 | 350 | 89 | 17 | 0 | 12 | 25 | 108 | 3 | 15 | 5 | 254 | 310 | 406 | 715 | 151 | 332 | 28 | 7 | 318 | 64 | — | — | — | — | — | — |
| 2024 | 24 | INTL MLE | 4 teams | — | 347 | 318 | 71 | 6 | 0 | 1 | 24 | 145 | 3 | 8 | 0 | 223 | 284 | 252 | 536 | 28 | 402 | 42 | 7 | 239 | 48 | — | — | — | — | — | — |
| 2024 | 24 | INTL RAW | 4 teams | — | 347 | 300 | 83 | 10 | 0 | 6 | 42 | 106 | 3 | 8 | 0 | 277 | 371 | 370 | 741 | 93 | 405 | 31 | 12 | 339 | 48 | — | — | — | — | — | — |
| 2025 | 25 | INTL MLE | Caribes de Anzoategui | — | 156 | 129 | 36 | 4 | 0 | 6 | 23 | 35 | 3 | 1 | 0 | 279 | 400 | 450 | 850 | 171 | 337 | 22 | 15 | — | — | — | — | — | — | — | — |
| 2025 | 25 | INTL RAW | Caribes de Anzoategui | — | 156 | 129 | 36 | 4 | 0 | 6 | 23 | 35 | 3 | 1 | 0 | 279 | 400 | 450 | 850 | 171 | 337 | 22 | 15 | 381 | 144 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Rays 2 | — | 176 | 164 | 27 | 6 | 1 | 0 | 10 | 40 | 0 | 10 | 1 | 165 | 211 | 213 | 425 | 49 | 214 | 23 | 6 | 191 | 15 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | GCL Rays | — | 133 | 127 | 22 | 3 | 1 | 1 | 5 | 49 | 0 | 6 | 0 | 173 | 203 | 236 | 439 | 63 | 259 | 37 | 4 | 181 | 9 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | 2 teams | — | 459 | 414 | 104 | 19 | 4 | 12 | 36 | 166 | 6 | 20 | 8 | 251 | 322 | 403 | 725 | 152 | 370 | 36 | 8 | 315 | 99 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | 4 teams | — | 530 | 494 | 113 | 20 | 2 | 12 | 31 | 191 | 0 | 12 | 6 | 229 | 274 | 350 | 624 | 121 | 335 | 36 | 6 | 273 | 71 | — | — | — | — | — | — |
| 2023 | 23 | AA MLE | 2 teams | — | 380 | 358 | 82 | 15 | 0 | 9 | 16 | 129 | 3 | 15 | 5 | 229 | 267 | 346 | 614 | 117 | 320 | 34 | 4 | 263 | 64 | — | — | — | — | — | — |
| 2024 | 24 | INTL MLE | 4 teams | — | 347 | 317 | 71 | 6 | 0 | 1 | 24 | 145 | 3 | 8 | 0 | 224 | 284 | 252 | 536 | 28 | 394 | 42 | 7 | 239 | 48 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 24 | INTL MLE | 4 teams | — | 347 | 317 | 71 | 6 | 0 | 1 | 24 | 145 | 3 | 8 | 0 | 224 | 284 | 252 | 536 | 28 | 394 | 42 | 7 | 239 | 48 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2233 | 2052 | 465 | 75 | 8 | 41 | 149 | 773 | 15 | 72 | 20 | 227 | 284 | 331 | 615 | 104 | 338 | 35 | 7 | 237 | 47 | -142 | +6 | +0 | -13 | +48 | -10.2 | |
| / 162G | — | MLE | — | 650 | 597 | 135 | 22 | 2 | 12 | 43 | 225 | 4 | 21 | 6 | 226 | 282 | 330 | 612 | 104 | 337 | 35 | 7 | 237 | 47 | -41 | +2 | +0 | -4 | +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 AAPensacola Blue Wahoos · 99 PAwOBA .297 → .259 (−38)K% 30.3% → 35.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.30% | ÷1.039 | ×1.220 | — | — | 35.57% |
| BB% (unintentional) /PA | 6.06% | ÷1.016 | ×0.680 | — | ×0.998 | 4.05% |
| HBP% /PA | 0.00% | — | ×0.840 | — | ×0.998 | 0.00% |
| Singles /BIP | 39.68% | ÷0.989 | ×0.920 | ×1.050 | ×0.998 | 38.66% |
| Doubles /BIP | 1.59% | ÷1.034 | ×0.910 | ×1.050 | ×0.998 | 1.46% |
| Triples /BIP | 0.00% | ÷0.909 | ×0.880 | ×1.050 | ×0.998 | 0.00% |
| Home runs /BIP | 1.59% | ÷1.064 | ×0.800 | — | ×0.998 | 1.19% |
Factors used: league row SL. Park (home-season share, regressed): HR 113, 1B 98, 2B 107, 3B 82, K 108, BB 103 — 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 ×1.050.
Result: wOBA .297 → .259; ISO .043 → .032; BABIP .419 → .406. 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 AAAJacksonville Jumbo Shrimp · 92 PAwOBA .266 → .210 (−56)K% 42.4% → 50.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 42.39% | ÷0.999 | ×1.200 | — | — | 50.92% |
| BB% (unintentional) /PA | 15.22% | ÷1.005 | ×0.690 | — | ×1.033 | 10.79% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.033 | 0.00% |
| Singles /BIP | 35.90% | ÷1.016 | ×0.930 | — | ×1.033 | 33.93% |
| Doubles /BIP | 5.13% | ÷0.970 | ×0.830 | — | ×1.033 | 4.53% |
| Triples /BIP | 0.00% | ÷0.985 | ×0.970 | — | ×1.033 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.925 | ×0.700 | — | ×1.033 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 85, 1B 103, 2B 94, 3B 97, K 100, BB 101 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).
Result: wOBA .266 → .210; ISO .026 → .020; BABIP .410 → .385. 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 Marlins · 16 PAwOBA .419 → .281 (−138)K% 18.8% → 27.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.75% | ÷0.987 | ×1.440 | — | — | 27.36% |
| BB% (unintentional) /PA | 6.25% | ÷0.970 | ×0.620 | — | ×0.945 | 3.77% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.945 | 0.00% |
| Singles /BIP | 33.33% | ÷0.985 | ×0.820 | — | ×0.945 | 26.21% |
| Doubles /BIP | 16.67% | ÷1.014 | ×0.720 | — | ×0.945 | 11.19% |
| Triples /BIP | 0.00% | ÷1.004 | ×0.720 | — | ×0.945 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.898 | ×0.780 | — | ×0.945 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 97, 2B 103, 3B 101, K 97, BB 94 — applied at half strength. Age: age 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).
Result: wOBA .419 → .281; ISO .133 → .082; BABIP .500 → .374. 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 AAMontgomery Biscuits · 284 PAwOBA .344 → .291 (−53)K% 25.7% → 30.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.70% | ÷1.022 | ×1.220 | — | — | 30.70% |
| BB% (unintentional) /PA | 7.75% | ÷1.072 | ×0.680 | — | ×1.012 | 4.97% |
| HBP% /PA | 0.70% | — | ×0.840 | — | ×1.012 | 0.60% |
| Singles /BIP | 25.27% | ÷0.949 | ×0.920 | ×1.015 | ×1.012 | 25.15% |
| Doubles /BIP | 7.53% | ÷1.030 | ×0.910 | ×1.015 | ×1.012 | 6.83% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.880 | ×1.015 | ×1.012 | 0.00% |
| Home runs /BIP | 5.91% | ÷1.087 | ×0.800 | — | ×1.012 | 4.40% |
Factors used: league row SL. Park (home-season share, regressed): HR 117, 1B 90, 2B 106, 3B 130, K 104, BB 114 — 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 ×1.015.
Result: wOBA .344 → .291; ISO .181 → .140; BABIP .347 → .333. 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 AAADurham Bulls · 96 PAwOBA .210 → .180 (−30)K% 36.5% → 43.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 36.46% | ÷1.009 | ×1.200 | — | — | 43.38% |
| BB% (unintentional) /PA | 3.12% | ÷1.011 | ×0.690 | — | ×1.048 | 2.23% |
| HBP% /PA | 1.04% | — | ×0.940 | — | ×1.048 | 1.03% |
| Singles /BIP | 23.21% | ÷1.006 | ×0.930 | ×1.050 | ×1.048 | 23.61% |
| Doubles /BIP | 5.36% | ÷1.020 | ×0.830 | ×1.050 | ×1.048 | 4.80% |
| Triples /BIP | 0.00% | ÷1.003 | ×0.970 | ×1.050 | ×1.048 | 0.00% |
| Home runs /BIP | 1.79% | ÷1.137 | ×0.700 | — | ×1.048 | 1.15% |
Factors used: league row International League. Park (home-season share, regressed): HR 127, 1B 101, 2B 104, 3B 101, K 102, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .210 → .180; ISO .066 → .046; BABIP .286 → .282. 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+Bowling Green Hot Rods · 294 PAwOBA .352 → .273 (−80)K% 27.9% → 36.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.89% | ÷1.002 | ×1.310 | — | — | 36.47% |
| BB% (unintentional) /PA | 8.50% | ÷1.038 | ×0.600 | — | ×0.998 | 4.90% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×0.998 | 0.00% |
| Singles /BIP | 26.23% | ÷1.011 | ×0.870 | ×1.050 | ×0.998 | 23.64% |
| Doubles /BIP | 7.65% | ÷1.079 | ×0.780 | ×1.050 | ×0.998 | 5.79% |
| Triples /BIP | 1.09% | ÷0.900 | ×0.850 | ×1.050 | ×0.998 | 1.08% |
| Home runs /BIP | 6.01% | ÷1.020 | ×0.880 | — | ×0.998 | 5.18% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 104, 1B 102, 2B 116, 3B 80, K 100, BB 108 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .352 → .273; ISO .192 → .153; BABIP .364 → .314. 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 AAMontgomery Biscuits · 163 PAwOBA .327 → .286 (−41)K% 28.8% → 34.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.83% | ÷1.032 | ×1.220 | — | — | 34.09% |
| BB% (unintentional) /PA | 11.66% | ÷0.984 | ×0.680 | — | ×1.027 | 8.27% |
| HBP% /PA | 0.00% | — | ×0.840 | — | ×1.027 | 0.00% |
| Singles /BIP | 29.17% | ÷1.001 | ×0.920 | ×1.050 | ×1.027 | 28.91% |
| Doubles /BIP | 9.38% | ÷1.090 | ×0.910 | ×1.050 | ×1.027 | 8.44% |
| Triples /BIP | 0.00% | ÷0.955 | ×0.880 | ×1.050 | ×1.027 | 0.00% |
| Home runs /BIP | 2.08% | ÷0.970 | ×0.800 | — | ×1.027 | 1.76% |
Factors used: league row SL. Park (home-season share, regressed): HR 94, 1B 100, 2B 118, 3B 91, K 106, BB 97 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .327 → .286; ISO .105 → .090; BABIP .389 → .376. 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 AAADurham Bulls · 16 PAwOBA .165 → .143 (−22)K% 37.5% → 45.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 37.50% | ÷0.999 | ×1.200 | — | — | 45.06% |
| BB% (unintentional) /PA | 0.00% | ÷1.059 | ×0.690 | — | ×1.050 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.050 | 0.00% |
| Singles /BIP | 30.00% | ÷0.988 | ×0.930 | — | ×1.050 | 29.66% |
| Doubles /BIP | 0.00% | ÷1.091 | ×0.830 | — | ×1.050 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | — | ×1.050 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.034 | ×0.700 | — | ×1.050 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 98, 2B 118, 3B 130, K 100, BB 112 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).
Result: wOBA .165 → .143; ISO .000 → .000; BABIP .300 → .297. 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 — .