Angel Aguilar
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2022 | 27 | INTLTiburones de … | 149 | .311/.363/.430 | 3 | 0 | 122 | — |
| 2023 | 28 | INTLTigres de Ara… | 164 | .229/.258/.353 | 4 | 6 | 64 | — |
| 2024 | 29 | INTLCaribes de An… | 102 | .218/.306/.310 | 0 | 1 | 71 | — |
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) | |||||||||||||||||||||||||||||||
| 2012 | 17 | ROK | DSL Yankees 2 | — | 183 | 171 | 40 | 3 | 0 | 0 | 8 | 33 | 4 | 1 | 0 | 234 | 284 | 251 | 536 | 18 | 290 | 18 | 4 | 251 | -6 | — | — | — | — | — | — |
| 2013 | 18 | ROK | DSL Yankees 2 | — | 260 | 229 | 60 | 18 | 3 | 3 | 17 | 44 | 7 | 2 | 1 | 262 | 332 | 406 | 738 | 144 | 305 | 17 | 7 | 322 | 24 | — | — | — | — | — | — |
| 2014 | 19 | ROK | GCL Yankees2 | — | 167 | 151 | 47 | 11 | 1 | 7 | 14 | 28 | 1 | 8 | 2 | 311 | 373 | 536 | 910 | 225 | 345 | 17 | 8 | 396 | 75 | — | — | — | — | — | — |
| 2015 | 20 | A | Charleston RiverDogs | — | 376 | 345 | 79 | 22 | 2 | 3 | 22 | 102 | 5 | 14 | 3 | 229 | 285 | 330 | 615 | 101 | 314 | 27 | 6 | 276 | 24 | — | — | — | — | — | — |
| 2016 | 21 | A | Charleston RiverDogs | — | 245 | 227 | 50 | 11 | 1 | 8 | 13 | 58 | 2 | 8 | 2 | 220 | 269 | 383 | 652 | 163 | 259 | 24 | 5 | 286 | 37 | — | — | — | — | — | — |
| 2016 | 21 | INTL | Aguilas del Zulia | — | 26 | 26 | 4 | 0 | 0 | 0 | 0 | 12 | 0 | 1 | 0 | 154 | 154 | 154 | 308 | 286 | 46 | 0 | 139 | -20 | — | — | — | — | — | — | |
| 2017 | 22 | A+ | Tampa Yankees | — | 154 | 141 | 28 | 5 | 0 | 3 | 7 | 39 | 1 | 1 | 3 | 199 | 242 | 298 | 539 | 99 | 250 | 25 | 5 | 236 | 7 | — | — | — | — | — | — |
| 2017 | 22 | A | Charleston RiverDogs | — | 275 | 253 | 67 | 16 | 1 | 3 | 15 | 46 | 3 | 6 | 5 | 265 | 314 | 372 | 685 | 107 | 308 | 17 | 5 | 304 | 49 | — | — | — | — | — | — |
| 2018 | 23 | A+ | Tampa Tarpons | — | 439 | 413 | 96 | 19 | 7 | 10 | 15 | 103 | 5 | 12 | 6 | 232 | 268 | 385 | 653 | 153 | 283 | 23 | 3 | 285 | 36 | — | — | — | — | — | — |
| 2018 | 23 | INTL | Aguilas del Zulia | — | 104 | 94 | 27 | 6 | 0 | 3 | 6 | 21 | 0 | 5 | 1 | 287 | 330 | 447 | 777 | 160 | 329 | 20 | 6 | 331 | 110 | — | — | — | — | — | — |
| 2019 | 24 | AA | Trenton Thunder | — | 154 | 143 | 31 | 9 | 1 | 3 | 6 | 47 | 2 | 2 | 1 | 217 | 258 | 357 | 615 | 140 | 295 | 31 | 4 | 269 | 29 | — | — | — | — | — | — |
| 2019 | 24 | A+ | Tampa Tarpons | — | 117 | 108 | 25 | 5 | 0 | 2 | 4 | 25 | 1 | 4 | 0 | 231 | 265 | 333 | 599 | 102 | 274 | 21 | 3 | 260 | 25 | — | — | — | — | — | — |
| 2022 | 27 | INTL | Tiburones de La Guaira | — | 149 | 135 | 42 | 7 | 0 | 3 | 11 | 31 | 0 | 0 | 2 | 311 | 363 | 430 | 793 | 119 | 375 | 21 | 7 | 348 | 122 | — | — | — | — | — | — |
| 2023 | 28 | INTL | Tigres de Aragua | — | 164 | 153 | 35 | 5 | 1 | 4 | 5 | 27 | 1 | 6 | 1 | 229 | 258 | 353 | 611 | 124 | 252 | 16 | 3 | 263 | 64 | — | — | — | — | — | — |
| 2024 | 29 | INTL | Caribes de Anzoategui | — | 102 | 87 | 19 | 6 | 1 | 0 | 9 | 22 | 2 | 1 | 0 | 218 | 306 | 310 | 616 | 92 | 279 | 22 | 9 | 274 | 71 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 17 | ROK MLE | DSL Yankees 2 | — | 183 | 173 | 26 | 2 | 0 | 0 | 6 | 40 | 4 | 1 | 0 | 150 | 197 | 162 | 359 | 12 | 190 | 22 | 3 | 159 | -6 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | DSL Yankees 2 | — | 260 | 234 | 38 | 11 | 2 | 1 | 12 | 54 | 7 | 2 | 1 | 162 | 225 | 239 | 465 | 77 | 188 | 21 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | GCL Yankees2 | — | 167 | 156 | 36 | 8 | 1 | 5 | 9 | 40 | 1 | 8 | 2 | 231 | 277 | 391 | 668 | 160 | 268 | 24 | 5 | 279 | 75 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Charleston RiverDogs | — | 376 | 353 | 61 | 16 | 2 | 2 | 14 | 141 | 5 | 14 | 3 | 173 | 215 | 246 | 462 | 74 | 271 | 38 | 4 | 203 | 24 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | Charleston RiverDogs | — | 245 | 231 | 41 | 7 | 1 | 7 | 9 | 76 | 2 | 8 | 2 | 177 | 215 | 307 | 522 | 130 | 223 | 31 | 4 | 223 | 37 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Tampa Yankees | — | 154 | 143 | 21 | 4 | 0 | 2 | 5 | 58 | 1 | 1 | 3 | 147 | 181 | 217 | 398 | 70 | 215 | 38 | 3 | 179 | 7 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Charleston RiverDogs | — | 275 | 259 | 57 | 12 | 1 | 3 | 9 | 64 | 3 | 6 | 5 | 220 | 255 | 309 | 563 | 89 | 268 | 23 | 3 | 241 | 49 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Tampa Tarpons | — | 439 | 417 | 78 | 18 | 5 | 7 | 11 | 146 | 5 | 12 | 6 | 187 | 217 | 305 | 522 | 118 | 258 | 33 | 3 | 222 | 36 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | Trenton Thunder | — | 154 | 145 | 26 | 7 | 1 | 2 | 4 | 60 | 2 | 2 | 1 | 179 | 212 | 283 | 495 | 103 | 263 | 39 | 3 | 211 | 29 | — | — | — | — | — | — |
| 2019 | 24 | A+ MLE | Tampa Tarpons | — | 117 | 109 | 20 | 4 | 0 | 2 | 3 | 36 | 1 | 4 | 0 | 183 | 212 | 275 | 488 | 92 | 228 | 31 | 3 | 205 | 25 | — | — | — | — | — | — |
| 2012 | 17 | ROK MLE | DSL Yankees 2 | — | 183 | 173 | 26 | 2 | 0 | 0 | 6 | 40 | 4 | 1 | 0 | 150 | 197 | 162 | 359 | 12 | 195 | 22 | 3 | 159 | -6 | — | — | — | — | — | — |
| 2012 | 17 | ROK RAW | DSL Yankees 2 | — | 183 | 171 | 40 | 3 | 0 | 0 | 8 | 33 | 4 | 1 | 0 | 234 | 284 | 251 | 536 | 18 | 290 | 18 | 4 | 251 | -6 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | DSL Yankees 2 | — | 260 | 234 | 38 | 11 | 2 | 1 | 12 | 54 | 7 | 2 | 1 | 162 | 225 | 239 | 465 | 77 | 201 | 21 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2013 | 18 | ROK RAW | DSL Yankees 2 | — | 260 | 229 | 60 | 18 | 3 | 3 | 17 | 44 | 7 | 2 | 1 | 262 | 332 | 406 | 738 | 144 | 305 | 17 | 7 | 322 | 24 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | GCL Yankees2 | — | 167 | 156 | 36 | 8 | 1 | 5 | 9 | 40 | 1 | 8 | 2 | 231 | 277 | 391 | 668 | 160 | 279 | 24 | 5 | 279 | 75 | — | — | — | — | — | — |
| 2014 | 19 | ROK RAW | GCL Yankees2 | — | 167 | 151 | 47 | 11 | 1 | 7 | 14 | 28 | 1 | 8 | 2 | 311 | 373 | 536 | 910 | 225 | 345 | 17 | 8 | 396 | 75 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Charleston RiverDogs | — | 376 | 353 | 61 | 16 | 2 | 2 | 14 | 141 | 5 | 14 | 3 | 173 | 215 | 246 | 462 | 74 | 278 | 38 | 4 | 203 | 24 | — | — | — | — | — | — |
| 2015 | 20 | A RAW | Charleston RiverDogs | — | 376 | 345 | 79 | 22 | 2 | 3 | 22 | 102 | 5 | 14 | 3 | 229 | 285 | 330 | 615 | 101 | 314 | 27 | 6 | 276 | 24 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | 2 teams | — | 271 | 256 | 45 | 8 | 1 | 8 | 10 | 85 | 2 | 9 | 2 | 176 | 213 | 309 | 521 | 133 | 226 | 31 | 4 | 223 | 37 | — | — | — | — | — | — |
| 2016 | 21 | A RAW | 2 teams | — | 271 | 253 | 54 | 11 | 1 | 8 | 13 | 70 | 2 | 9 | 2 | 213 | 257 | 360 | 617 | 146 | 261 | 26 | 5 | 272 | 37 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | 2 teams | — | 429 | 401 | 77 | 16 | 1 | 5 | 15 | 123 | 4 | 7 | 8 | 192 | 229 | 274 | 503 | 82 | 259 | 29 | 3 | 219 | 34 | — | — | — | — | — | — |
| 2017 | 22 | A RAW | 2 teams | — | 429 | 394 | 95 | 21 | 1 | 6 | 22 | 85 | 4 | 7 | 8 | 241 | 288 | 345 | 633 | 104 | 289 | 20 | 5 | 280 | 34 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 2 teams | — | 543 | 514 | 95 | 22 | 6 | 8 | 14 | 180 | 5 | 17 | 7 | 185 | 214 | 298 | 512 | 113 | 261 | 33 | 3 | 222 | 36 | — | — | — | — | — | — |
| 2018 | 23 | A+ RAW | 2 teams | — | 543 | 507 | 123 | 25 | 7 | 13 | 21 | 124 | 5 | 17 | 7 | 243 | 280 | 396 | 676 | 154 | 292 | 23 | 4 | 294 | 36 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 271 | 254 | 45 | 11 | 1 | 4 | 7 | 96 | 3 | 6 | 1 | 177 | 208 | 276 | 484 | 98 | 258 | 35 | 3 | 208 | 27 | — | — | — | — | — | — |
| 2019 | 24 | AA RAW | 2 teams | — | 271 | 251 | 56 | 14 | 1 | 5 | 10 | 72 | 3 | 6 | 1 | 223 | 261 | 347 | 608 | 124 | 285 | 27 | 4 | 265 | 27 | — | — | — | — | — | — |
| 2022 | 27 | INTL MLE | Tiburones de La Guaira | — | 149 | 135 | 42 | 7 | 0 | 3 | 11 | 31 | 0 | 0 | 2 | 311 | 363 | 430 | 793 | 119 | 375 | 21 | 7 | — | — | — | — | — | — | — | — |
| 2022 | 27 | INTL RAW | Tiburones de La Guaira | — | 149 | 135 | 42 | 7 | 0 | 3 | 11 | 31 | 0 | 0 | 2 | 311 | 363 | 430 | 793 | 119 | 375 | 21 | 7 | 348 | 122 | — | — | — | — | — | — |
| 2023 | 28 | INTL MLE | Tigres de Aragua | — | 164 | 153 | 35 | 5 | 1 | 4 | 5 | 27 | 1 | 6 | 1 | 229 | 258 | 353 | 611 | 124 | 252 | 16 | 3 | — | — | — | — | — | — | — | — |
| 2023 | 28 | INTL RAW | Tigres de Aragua | — | 164 | 153 | 35 | 5 | 1 | 4 | 5 | 27 | 1 | 6 | 1 | 229 | 258 | 353 | 611 | 124 | 252 | 16 | 3 | 263 | 64 | — | — | — | — | — | — |
| 2024 | 29 | INTL MLE | Caribes de Anzoategui | — | 102 | 87 | 19 | 6 | 1 | 0 | 9 | 22 | 2 | 1 | 0 | 218 | 306 | 310 | 616 | 92 | 279 | 22 | 9 | — | — | — | — | — | — | — | — |
| 2024 | 29 | INTL RAW | Caribes de Anzoategui | — | 102 | 87 | 19 | 6 | 1 | 0 | 9 | 22 | 2 | 1 | 0 | 218 | 306 | 310 | 616 | 92 | 279 | 22 | 9 | 274 | 71 | — | — | — | — | — | — |
| 2012 | 17 | ROK MLE | DSL Yankees 2 | — | 183 | 171 | 26 | 2 | 0 | 0 | 6 | 40 | 4 | 1 | 0 | 152 | 197 | 164 | 360 | 12 | 190 | 22 | 3 | 159 | -6 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | DSL Yankees 2 | — | 260 | 239 | 38 | 11 | 2 | 1 | 12 | 54 | 7 | 2 | 1 | 159 | 225 | 234 | 460 | 75 | 188 | 21 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | GCL Yankees2 | — | 167 | 155 | 36 | 8 | 1 | 5 | 9 | 40 | 1 | 8 | 2 | 232 | 277 | 394 | 671 | 161 | 268 | 24 | 5 | 279 | 75 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Charleston RiverDogs | — | 376 | 354 | 61 | 16 | 2 | 2 | 14 | 141 | 5 | 14 | 3 | 172 | 215 | 246 | 461 | 73 | 271 | 38 | 4 | 203 | 24 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | 2 teams | — | 271 | 257 | 45 | 8 | 1 | 8 | 10 | 85 | 2 | 9 | 2 | 175 | 213 | 307 | 520 | 132 | 223 | 31 | 4 | 223 | 37 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | 2 teams | — | 429 | 407 | 77 | 16 | 1 | 5 | 15 | 123 | 4 | 7 | 8 | 189 | 229 | 270 | 499 | 81 | 249 | 29 | 3 | 219 | 34 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 2 teams | — | 543 | 519 | 95 | 22 | 6 | 8 | 14 | 180 | 5 | 17 | 7 | 183 | 214 | 295 | 509 | 112 | 258 | 33 | 3 | 222 | 36 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 271 | 259 | 45 | 11 | 1 | 4 | 7 | 96 | 3 | 6 | 1 | 174 | 208 | 270 | 479 | 97 | 248 | 35 | 3 | 208 | 27 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2915 | 2716 | 519 | 112 | 16 | 40 | 112 | 839 | 34 | 71 | 27 | 191 | 232 | 288 | 521 | 97 | 256 | 29 | 4 | 184 | 11 | -310 | +3 | +0 | +10 | +63 | -23.8 | |
| / 162G | — | MLE | — | 650 | 606 | 116 | 25 | 4 | 9 | 25 | 187 | 8 | 16 | 6 | 191 | 234 | 290 | 524 | 99 | 257 | 29 | 4 | 184 | 11 | -69 | +1 | +0 | +2 | +14 | -5.3 | |
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.
2019 AATrenton Thunder · 154 PAwOBA .265 → .211 (−54)K% 30.5% → 38.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.52% | ÷0.956 | ×1.220 | — | — | 38.95% |
| BB% (unintentional) /PA | 3.90% | ÷0.999 | ×0.700 | — | ×1.012 | 2.76% |
| HBP% /PA | 1.30% | — | ×0.850 | — | ×1.012 | 1.12% |
| Singles /BIP | 18.75% | ÷0.984 | ×0.970 | ×0.950 | ×1.012 | 17.78% |
| Doubles /BIP | 9.38% | ÷1.040 | ×0.860 | ×0.950 | ×1.012 | 7.45% |
| Triples /BIP | 1.04% | ÷0.937 | ×0.950 | ×0.950 | ×1.012 | 1.02% |
| Home runs /BIP | 3.12% | ÷0.960 | ×0.780 | — | ×1.012 | 2.57% |
Factors used: league row EL. Park (home-season share, regressed): HR 92, 1B 97, 2B 108, 3B 87, K 91, BB 100 — 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 ×0.950.
Result: wOBA .265 → .211; ISO .140 → .106; BABIP .295 → .263. 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 A+Tampa Tarpons · 117 PAwOBA .259 → .205 (−54)K% 21.4% → 30.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.37% | ÷0.989 | ×1.420 | — | — | 30.67% |
| BB% (unintentional) /PA | 3.42% | ÷1.055 | ×0.750 | — | ×0.988 | 2.40% |
| HBP% /PA | 0.85% | — | ×0.930 | — | ×0.988 | 0.79% |
| Singles /BIP | 21.69% | ÷1.072 | ×0.920 | ×0.950 | ×0.988 | 17.46% |
| Doubles /BIP | 6.02% | ÷0.954 | ×0.960 | ×0.950 | ×0.988 | 5.69% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | ×0.950 | ×0.988 | 0.00% |
| Home runs /BIP | 2.41% | ÷0.960 | ×0.880 | — | ×0.988 | 2.18% |
Factors used: league row FSL. Park (home-season share, regressed): HR 92, 1B 114, 2B 91, 3B 80, K 98, BB 111 — 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 ×0.950.
Result: wOBA .259 → .205; ISO .102 → .088; BABIP .274 → .228. 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 A+Tampa Tarpons · 439 PAwOBA .279 → .222 (−57)K% 23.5% → 33.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.46% | ÷1.004 | ×1.420 | — | — | 33.17% |
| BB% (unintentional) /PA | 3.42% | ÷1.015 | ×0.750 | — | ×0.998 | 2.52% |
| HBP% /PA | 1.14% | — | ×0.930 | — | ×0.998 | 1.06% |
| Singles /BIP | 19.35% | ÷1.003 | ×0.920 | ×0.977 | ×0.998 | 17.31% |
| Doubles /BIP | 6.13% | ÷0.891 | ×0.960 | ×0.977 | ×0.998 | 6.44% |
| Triples /BIP | 2.26% | ÷0.983 | ×0.810 | ×0.977 | ×0.998 | 1.81% |
| Home runs /BIP | 3.23% | ÷1.205 | ×0.880 | — | ×0.998 | 2.35% |
Factors used: league row FSL. Park (home-season share, regressed): HR 141, 1B 101, 2B 78, 3B 97, K 101, BB 103 — 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 ×0.977.
Result: wOBA .279 → .222; ISO .153 → .115; BABIP .283 → .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).
2017 ACharleston RiverDogs · 275 PAwOBA .300 → .241 (−59)K% 16.7% → 23.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.73% | ÷0.958 | ×1.340 | — | — | 23.39% |
| BB% (unintentional) /PA | 5.45% | ÷1.051 | ×0.660 | — | — | 3.43% |
| HBP% /PA | 1.09% | — | ×0.770 | — | — | 0.84% |
| Singles /BIP | 22.71% | ÷0.978 | ×0.920 | ×0.959 | — | 20.47% |
| Doubles /BIP | 7.73% | ÷1.010 | ×0.820 | ×0.959 | — | 6.01% |
| Triples /BIP | 0.48% | ÷0.900 | ×0.940 | ×0.959 | — | 0.48% |
| Home runs /BIP | 1.45% | ÷0.945 | ×0.820 | — | — | 1.26% |
Factors used: league row SAL. Park (home-season share, regressed): HR 89, 1B 96, 2B 102, 3B 80, K 92, 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 ×0.959.
Result: wOBA .300 → .241; ISO .107 → .085; BABIP .308 → .268. 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 A+Tampa Yankees · 154 PAwOBA .231 → .179 (−52)K% 25.3% → 37.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.32% | ÷0.949 | ×1.420 | — | — | 37.90% |
| BB% (unintentional) /PA | 4.55% | ÷1.007 | ×0.750 | — | ×1.012 | 3.43% |
| HBP% /PA | 0.65% | — | ×0.930 | — | ×1.012 | 0.61% |
| Singles /BIP | 19.61% | ÷1.071 | ×0.920 | ×0.968 | ×1.012 | 16.50% |
| Doubles /BIP | 4.90% | ÷0.995 | ×0.960 | ×0.968 | ×1.012 | 4.64% |
| Triples /BIP | 0.00% | ÷1.031 | ×0.810 | ×0.968 | ×1.012 | 0.00% |
| Home runs /BIP | 2.94% | ÷0.949 | ×0.880 | — | ×1.012 | 2.76% |
Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 114, 2B 99, 3B 106, K 90, BB 101 — 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 ×0.968.
Result: wOBA .231 → .179; ISO .099 → .082; BABIP .250 → .215. 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).
2016 ACharleston RiverDogs · 245 PAwOBA .279 → .223 (−56)K% 23.7% → 31.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.67% | ÷1.017 | ×1.340 | — | — | 31.20% |
| BB% (unintentional) /PA | 5.31% | ÷0.995 | ×0.660 | — | ×1.015 | 3.57% |
| HBP% /PA | 0.82% | — | ×0.770 | — | ×1.015 | 0.64% |
| Singles /BIP | 17.75% | ÷1.000 | ×0.920 | ×0.982 | ×1.015 | 16.27% |
| Doubles /BIP | 6.51% | ÷1.145 | ×0.820 | ×0.982 | ×1.015 | 4.64% |
| Triples /BIP | 0.59% | ÷0.930 | ×0.940 | ×0.982 | ×1.015 | 0.60% |
| Home runs /BIP | 4.73% | ÷0.895 | ×0.820 | — | ×1.015 | 4.40% |
Factors used: league row SAL. Park (home-season share, regressed): HR 79, 1B 100, 2B 129, 3B 86, K 103, BB 99 — 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 ×0.982.
Result: wOBA .279 → .223; ISO .163 → .133; BABIP .259 → .223. 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).
2015 ACharleston RiverDogs · 376 PAwOBA .269 → .203 (−66)K% 27.1% → 37.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.13% | ÷0.968 | ×1.340 | — | — | 37.54% |
| BB% (unintentional) /PA | 5.59% | ÷1.054 | ×0.660 | — | ×1.030 | 3.60% |
| HBP% /PA | 1.33% | — | ×0.770 | — | ×1.030 | 1.05% |
| Singles /BIP | 21.40% | ÷1.031 | ×0.920 | ×0.961 | ×1.030 | 18.90% |
| Doubles /BIP | 9.05% | ÷0.989 | ×0.820 | ×0.961 | ×1.030 | 7.43% |
| Triples /BIP | 0.82% | ÷1.041 | ×0.940 | ×0.961 | ×1.030 | 0.74% |
| Home runs /BIP | 1.23% | ÷0.937 | ×0.820 | — | ×1.030 | 1.11% |
Factors used: league row SAL. Park (home-season share, regressed): HR 87, 1B 106, 2B 98, 3B 108, K 94, BB 111 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.
Result: wOBA .269 → .203; ISO .101 → .077; BABIP .314 → .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).
2014 ROKGCL Yankees2 · 167 PAwOBA .385 → .279 (−106)K% 16.8% → 24.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.77% | ÷1.000 | ×1.440 | — | — | 24.14% |
| BB% (unintentional) /PA | 8.38% | ÷1.000 | ×0.620 | — | ×1.008 | 5.24% |
| HBP% /PA | 0.60% | — | ×0.720 | — | ×1.008 | 0.43% |
| Singles /BIP | 22.76% | ÷1.000 | ×0.820 | ×0.987 | ×1.008 | 18.57% |
| Doubles /BIP | 8.94% | ÷1.000 | ×0.720 | ×0.987 | ×1.008 | 6.41% |
| Triples /BIP | 0.81% | ÷1.000 | ×0.720 | ×0.987 | ×1.008 | 0.58% |
| Home runs /BIP | 5.69% | ÷1.000 | ×0.780 | — | ×1.008 | 4.47% |
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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.
Result: wOBA .385 → .279; ISO .225 → .163; BABIP .345 → .268. 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 — .