Yusniel Díaz
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 25 | AAA/A+2 orgs | 304 | .253/.352/.372 | 7 | 9 | 72 | — | .229/.296/.317 |
| 2023 | 26 | AALAD | 406 | .278/.379/.484 | 16 | 7 | 93 | — | .235/.309/.392 |
| 2024 | 27 | AAASF | 67 | .176/.364/.373 | 3 | 4 | 63 | — | .143/.273/.268 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 19 | A+ | Rancho Cucamonga Quakes | — | 348 | 316 | 86 | 8 | 7 | 8 | 29 | 71 | 1 | 7 | 8 | 272 | 335 | 418 | 753 | 146 | 326 | 20 | 8 | 334 | 70 | — | — | — | — | — | — |
| 2017 | 20 | AA | Tulsa Drillers | — | 118 | 108 | 36 | 8 | 0 | 3 | 10 | 29 | 0 | 2 | 5 | 333 | 390 | 491 | 881 | 157 | 434 | 25 | 8 | 391 | 90 | — | — | — | — | — | — |
| 2017 | 20 | A+ | Rancho Cucamonga Quakes | — | 374 | 331 | 92 | 15 | 3 | 8 | 35 | 73 | 1 | 7 | 9 | 278 | 349 | 414 | 763 | 136 | 328 | 20 | 9 | 336 | 71 | — | — | — | — | — | — |
| 2017 | 20 | INTL | Glendale Desert Dogs | — | 73 | 66 | 20 | 2 | 1 | 1 | 6 | 9 | 0 | 2 | 3 | 303 | 361 | 409 | 770 | 106 | 333 | 12 | 8 | 341 | 117 | — | — | — | — | — | — |
| 2018 | 21 | AA | Bowie Baysox | — | 416 | 354 | 101 | 15 | 5 | 11 | 59 | 67 | 3 | 12 | 13 | 285 | 392 | 449 | 841 | 164 | 326 | 16 | 14 | 377 | 105 | — | — | — | — | — | — |
| 2019 | 22 | AA | Bowie Baysox | — | 322 | 286 | 75 | 19 | 4 | 11 | 32 | 67 | 1 | 0 | 3 | 262 | 339 | 472 | 811 | 210 | 303 | 21 | 10 | 354 | 77 | — | — | — | — | — | — |
| 2019 | 22 | A+ | Frederick Keys | — | 25 | 22 | 6 | 0 | 0 | 0 | 3 | 7 | 0 | 0 | 0 | 273 | 360 | 273 | 633 | 400 | 28 | 12 | 301 | 36 | — | — | — | — | — | — | |
| 2019 | 22 | INTL | Leones del Escogido | — | 61 | 52 | 9 | 1 | 0 | 0 | 9 | 10 | 0 | 4 | 0 | 173 | 295 | 192 | 487 | 19 | 214 | 16 | 15 | 243 | 50 | — | — | — | — | — | — |
| 2021 | 24 | AAA | Norfolk Tides | — | 209 | 191 | 30 | 4 | 1 | 4 | 15 | 69 | 2 | 1 | 2 | 157 | 226 | 251 | 477 | 94 | 218 | 33 | 7 | 220 | 3 | — | — | — | — | — | — |
| 2021 | 24 | AA | Bowie Baysox | — | 44 | 39 | 7 | 3 | 0 | 1 | 4 | 13 | 1 | 1 | 0 | 179 | 273 | 333 | 606 | 154 | 240 | 30 | 9 | 277 | 25 | — | — | — | — | — | — |
| 2021 | 24 | INTL | Mesa Solar Sox | — | 34 | 27 | 6 | 3 | 0 | 1 | 7 | 10 | 0 | 0 | 0 | 222 | 382 | 444 | 827 | 222 | 312 | 29 | 21 | 371 | 137 | — | — | — | — | — | — |
| 2022 | 25 | AAA | Norfolk Tides | — | 286 | 247 | 62 | 9 | 0 | 6 | 36 | 66 | 1 | 9 | 4 | 251 | 349 | 360 | 709 | 109 | 316 | 23 | 13 | 323 | 69 | — | — | — | — | — | — |
| 2022 | 25 | A+ | Aberdeen IronBirds | — | 18 | 14 | 4 | 1 | 0 | 1 | 3 | 4 | 0 | 0 | 0 | 286 | 412 | 571 | 983 | 286 | 300 | 22 | 17 | 404 | 116 | — | — | — | — | — | — |
| 2023 | 26 | AA | Tulsa Drillers | — | 406 | 345 | 96 | 21 | 1 | 16 | 56 | 78 | 0 | 7 | 4 | 278 | 379 | 484 | 863 | 206 | 312 | 19 | 14 | 378 | 93 | — | — | — | — | — | — |
| 2024 | 27 | AAA | Sacramento River Cats | — | 67 | 51 | 9 | 1 | 0 | 3 | 15 | 14 | 0 | 4 | 0 | 176 | 364 | 373 | 736 | 196 | 171 | 21 | 22 | 336 | 63 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 19 | A+ MLE | Rancho Cucamonga Quakes | — | 348 | 324 | 74 | 7 | 5 | 7 | 21 | 97 | 1 | 7 | 8 | 228 | 277 | 346 | 623 | 117 | 299 | 28 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2017 | 20 | AA MLE | Tulsa Drillers | — | 118 | 111 | 30 | 6 | 0 | 2 | 7 | 37 | 0 | 2 | 5 | 270 | 314 | 378 | 692 | 108 | 390 | 31 | 6 | 301 | 90 | — | — | — | — | — | — |
| 2017 | 20 | A+ MLE | Rancho Cucamonga Quakes | — | 374 | 343 | 81 | 12 | 2 | 7 | 23 | 99 | 1 | 7 | 9 | 236 | 286 | 344 | 630 | 108 | 293 | 26 | 6 | 273 | 71 | — | — | — | — | — | — |
| 2018 | 21 | AA MLE | Bowie Baysox | — | 416 | 371 | 95 | 13 | 5 | 8 | 42 | 85 | 3 | 12 | 13 | 256 | 337 | 383 | 719 | 127 | 316 | 20 | 10 | 323 | 105 | — | — | — | — | — | — |
| 2019 | 22 | AA MLE | Bowie Baysox | — | 322 | 295 | 64 | 16 | 3 | 9 | 23 | 87 | 1 | 0 | 3 | 217 | 276 | 383 | 659 | 166 | 268 | 27 | 7 | 282 | 77 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Frederick Keys | — | 25 | 23 | 5 | 0 | 0 | 0 | 2 | 10 | 0 | 0 | 0 | 217 | 280 | 217 | 497 | 372 | 40 | 8 | 222 | 36 | — | — | — | — | — | — | |
| 2021 | 24 | AAA MLE | Norfolk Tides | — | 209 | 196 | 26 | 3 | 1 | 3 | 10 | 84 | 2 | 1 | 2 | 133 | 183 | 204 | 387 | 71 | 210 | 40 | 5 | 173 | 3 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Bowie Baysox | — | 44 | 40 | 6 | 2 | 0 | 1 | 3 | 16 | 1 | 1 | 0 | 150 | 227 | 275 | 502 | 125 | 217 | 36 | 7 | 205 | 25 | — | — | — | — | — | — |
| 2022 | 25 | AAA MLE | Norfolk Tides | — | 286 | 260 | 59 | 8 | 0 | 4 | 23 | 78 | 1 | 9 | 4 | 227 | 292 | 304 | 596 | 77 | 300 | 27 | 8 | 270 | 69 | — | — | — | — | — | — |
| 2022 | 25 | A+ MLE | Aberdeen IronBirds | — | 18 | 15 | 4 | 1 | 0 | 1 | 2 | 5 | 0 | 0 | 0 | 267 | 353 | 533 | 886 | 267 | 249 | 28 | 11 | 340 | 116 | — | — | — | — | — | — |
| 2023 | 26 | AA MLE | Tulsa Drillers | — | 406 | 362 | 85 | 19 | 1 | 12 | 39 | 93 | 0 | 7 | 4 | 235 | 309 | 392 | 701 | 157 | 273 | 23 | 10 | 306 | 93 | — | — | — | — | — | — |
| 2024 | 27 | AAA MLE | Sacramento River Cats | — | 67 | 56 | 8 | 1 | 0 | 2 | 10 | 16 | 0 | 4 | 0 | 143 | 273 | 268 | 541 | 125 | 154 | 24 | 15 | 262 | 63 | — | — | — | — | — | — |
| 2016 | 19 | A+ MLE | Rancho Cucamonga Quakes | — | 348 | 324 | 74 | 7 | 5 | 7 | 21 | 97 | 1 | 7 | 8 | 228 | 277 | 346 | 623 | 117 | 302 | 28 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2016 | 19 | A+ RAW | Rancho Cucamonga Quakes | — | 348 | 316 | 86 | 8 | 7 | 8 | 29 | 71 | 1 | 7 | 8 | 272 | 335 | 418 | 753 | 146 | 326 | 20 | 8 | 334 | 70 | — | — | — | — | — | — |
| 2017 | 20 | A+ MLE | 3 teams | — | 565 | 521 | 127 | 21 | 2 | 10 | 35 | 156 | 1 | 11 | 17 | 244 | 293 | 349 | 642 | 106 | 323 | 28 | 6 | 280 | 75 | — | — | — | — | — | — |
| 2017 | 20 | A+ RAW | 3 teams | — | 565 | 505 | 148 | 25 | 4 | 12 | 51 | 111 | 1 | 11 | 17 | 293 | 359 | 430 | 789 | 137 | 350 | 20 | 9 | 348 | 75 | — | — | — | — | — | — |
| 2018 | 21 | AA MLE | Bowie Baysox | — | 416 | 371 | 95 | 13 | 5 | 8 | 42 | 85 | 3 | 12 | 13 | 256 | 337 | 383 | 719 | 127 | 313 | 20 | 10 | 323 | 105 | — | — | — | — | — | — |
| 2018 | 21 | AA RAW | Bowie Baysox | — | 416 | 354 | 101 | 15 | 5 | 11 | 59 | 67 | 3 | 12 | 13 | 285 | 392 | 449 | 841 | 164 | 326 | 16 | 14 | 377 | 105 | — | — | — | — | — | — |
| 2019 | 22 | AA MLE | 3 teams | — | 408 | 375 | 81 | 18 | 4 | 10 | 29 | 114 | 1 | 4 | 3 | 216 | 274 | 365 | 639 | 149 | 280 | 28 | 7 | 278 | 74 | — | — | — | — | — | — |
| 2019 | 22 | AA RAW | 3 teams | — | 408 | 360 | 90 | 20 | 4 | 11 | 44 | 84 | 1 | 4 | 3 | 250 | 333 | 419 | 753 | 169 | 295 | 21 | 11 | 334 | 74 | — | — | — | — | — | — |
| 2021 | 24 | AAA MLE | 3 teams | — | 287 | 268 | 37 | 7 | 1 | 4 | 15 | 114 | 3 | 2 | 2 | 138 | 192 | 216 | 409 | 78 | 219 | 40 | 5 | 179 | 7 | — | — | — | — | — | — |
| 2021 | 24 | AAA RAW | 3 teams | — | 287 | 257 | 43 | 10 | 1 | 6 | 26 | 92 | 3 | 2 | 2 | 167 | 252 | 284 | 536 | 117 | 231 | 32 | 9 | 247 | 7 | — | — | — | — | — | — |
| 2022 | 25 | AAA MLE | 2 teams | — | 304 | 275 | 62 | 8 | 0 | 5 | 25 | 83 | 1 | 9 | 4 | 225 | 292 | 309 | 601 | 84 | 300 | 27 | 8 | 274 | 72 | — | — | — | — | — | — |
| 2022 | 25 | AAA RAW | 2 teams | — | 304 | 261 | 66 | 10 | 0 | 7 | 39 | 70 | 1 | 9 | 4 | 253 | 352 | 372 | 724 | 119 | 316 | 23 | 13 | 328 | 72 | — | — | — | — | — | — |
| 2023 | 26 | AA MLE | Tulsa Drillers | — | 406 | 362 | 85 | 19 | 1 | 12 | 39 | 93 | 0 | 7 | 4 | 235 | 309 | 392 | 701 | 157 | 279 | 23 | 10 | 306 | 93 | — | — | — | — | — | — |
| 2023 | 26 | AA RAW | Tulsa Drillers | — | 406 | 345 | 96 | 21 | 1 | 16 | 56 | 78 | 0 | 7 | 4 | 278 | 379 | 484 | 863 | 206 | 312 | 19 | 14 | 378 | 93 | — | — | — | — | — | — |
| 2024 | 27 | AAA MLE | Sacramento River Cats | — | 67 | 56 | 8 | 1 | 0 | 2 | 10 | 16 | 0 | 4 | 0 | 143 | 273 | 268 | 541 | 125 | 154 | 24 | 15 | 262 | 63 | — | — | — | — | — | — |
| 2024 | 27 | AAA RAW | Sacramento River Cats | — | 67 | 51 | 9 | 1 | 0 | 3 | 15 | 14 | 0 | 4 | 0 | 176 | 364 | 373 | 736 | 196 | 171 | 21 | 22 | 336 | 63 | — | — | — | — | — | — |
| 2016 | 19 | A+ MLE | Rancho Cucamonga Quakes | — | 348 | 323 | 74 | 7 | 5 | 7 | 21 | 97 | 1 | 7 | 8 | 229 | 277 | 347 | 624 | 118 | 299 | 28 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2017 | 20 | A+ MLE | 3 teams | — | 565 | 524 | 127 | 21 | 2 | 10 | 35 | 156 | 1 | 11 | 17 | 242 | 293 | 347 | 640 | 105 | 316 | 28 | 6 | 280 | 75 | — | — | — | — | — | — |
| 2018 | 21 | AA MLE | Bowie Baysox | — | 416 | 368 | 95 | 13 | 5 | 8 | 42 | 85 | 3 | 12 | 13 | 258 | 337 | 386 | 722 | 128 | 316 | 20 | 10 | 323 | 105 | — | — | — | — | — | — |
| 2019 | 22 | AA MLE | 3 teams | — | 408 | 375 | 81 | 18 | 4 | 10 | 29 | 114 | 1 | 4 | 3 | 216 | 274 | 365 | 639 | 149 | 275 | 28 | 7 | 278 | 74 | — | — | — | — | — | — |
| 2021 | 24 | AAA MLE | 3 teams | — | 287 | 267 | 37 | 7 | 1 | 4 | 15 | 114 | 3 | 2 | 2 | 139 | 192 | 217 | 410 | 79 | 211 | 40 | 5 | 179 | 7 | — | — | — | — | — | — |
| 2022 | 25 | AAA MLE | 2 teams | — | 304 | 275 | 62 | 8 | 0 | 5 | 25 | 83 | 1 | 9 | 4 | 225 | 292 | 309 | 601 | 84 | 297 | 27 | 8 | 274 | 72 | — | — | — | — | — | — |
| 2023 | 26 | AA MLE | Tulsa Drillers | — | 406 | 364 | 85 | 19 | 1 | 12 | 39 | 93 | 0 | 7 | 4 | 234 | 309 | 390 | 699 | 157 | 273 | 23 | 10 | 306 | 93 | — | — | — | — | — | — |
| 2024 | 27 | AAA MLE | Sacramento River Cats | — | 67 | 57 | 8 | 1 | 0 | 2 | 10 | 16 | 0 | 4 | 0 | 140 | 273 | 263 | 536 | 123 | 154 | 24 | 15 | 262 | 63 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 27 | AAA MLE | Sacramento River Cats | — | 67 | 57 | 8 | 1 | 0 | 2 | 10 | 16 | 0 | 4 | 0 | 140 | 273 | 263 | 536 | 123 | 154 | 24 | 15 | 262 | 63 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2801 | 2552 | 569 | 94 | 18 | 58 | 216 | 758 | 10 | 56 | 51 | 223 | 286 | 342 | 628 | 119 | 291 | 27 | 8 | 277 | 74 | -88 | -9 | +0 | +6 | +61 | -3.1 | |
| / 162G | — | MLE | — | 650 | 592 | 132 | 22 | 4 | 13 | 50 | 176 | 2 | 13 | 12 | 223 | 285 | 340 | 625 | 117 | 292 | 27 | 8 | 277 | 74 | -20 | -2 | +0 | +1 | +14 | -0.7 | |
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.
2024 AAASacramento River Cats · 67 PAwOBA .333 → .262 (−72)K% 20.9% → 23.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.90% | ÷1.081 | ×1.200 | — | — | 23.19% |
| BB% (unintentional) /PA | 22.39% | ÷1.032 | ×0.690 | — | ×0.992 | 14.86% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.992 | 0.00% |
| Singles /BIP | 13.51% | ÷0.976 | ×0.930 | — | ×0.992 | 12.77% |
| Doubles /BIP | 2.70% | ÷1.052 | ×0.830 | — | ×0.992 | 2.12% |
| Triples /BIP | 0.00% | ÷1.091 | ×0.970 | — | ×0.992 | 0.00% |
| Home runs /BIP | 8.11% | ÷1.010 | ×0.700 | — | ×0.992 | 5.57% |
Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 95, 2B 110, 3B 118, K 116, BB 106 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).
Result: wOBA .333 → .262; ISO .196 → .153; BABIP .171 → .154. 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 AATulsa Drillers · 406 PAwOBA .373 → .306 (−67)K% 19.2% → 22.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.21% | ÷1.023 | ×1.220 | — | — | 22.90% |
| BB% (unintentional) /PA | 13.79% | ÷0.973 | ×0.700 | — | ×0.978 | 9.70% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.978 | 0.00% |
| Singles /BIP | 21.72% | ÷0.992 | ×0.920 | ×0.989 | ×0.978 | 19.48% |
| Doubles /BIP | 7.87% | ÷0.942 | ×0.840 | ×0.989 | ×0.978 | 6.79% |
| Triples /BIP | 0.37% | ÷0.900 | ×0.940 | ×0.989 | ×0.978 | 0.38% |
| Home runs /BIP | 5.99% | ÷1.083 | ×0.800 | — | ×0.978 | 4.33% |
Factors used: league row TL. Park (home-season share, regressed): HR 117, 1B 98, 2B 88, 3B 80, K 105, BB 95 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.
Result: wOBA .373 → .306; ISO .206 → .163; BABIP .312 → .273. 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 AAANorfolk Tides · 286 PAwOBA .316 → .270 (−46)K% 23.1% → 27.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.08% | ÷1.017 | ×1.200 | — | — | 27.24% |
| BB% (unintentional) /PA | 12.24% | ÷1.048 | ×0.690 | — | ×1.018 | 8.20% |
| HBP% /PA | 0.35% | — | ×0.940 | — | ×1.018 | 0.33% |
| Singles /BIP | 25.97% | ÷0.952 | ×0.930 | ×0.986 | ×1.018 | 25.47% |
| Doubles /BIP | 4.97% | ÷1.000 | ×0.830 | ×0.986 | ×1.018 | 4.14% |
| Triples /BIP | 0.00% | ÷1.130 | ×0.970 | ×0.986 | ×1.018 | 0.00% |
| Home runs /BIP | 3.31% | ÷0.970 | ×0.700 | — | ×1.018 | 2.44% |
Factors used: league row International League. Park (home-season share, regressed): HR 94, 1B 90, 2B 100, 3B 126, K 103, BB 110 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.
Result: wOBA .316 → .270; ISO .109 → .085; BABIP .316 → .300. 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+Aberdeen IronBirds · 18 PAwOBA .416 → .340 (−76)K% 22.2% → 29.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.22% | ÷0.991 | ×1.310 | — | — | 29.38% |
| BB% (unintentional) /PA | 16.67% | ÷0.966 | ×0.600 | — | ×0.968 | 10.02% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×0.968 | 0.00% |
| Singles /BIP | 20.00% | ÷0.980 | ×0.870 | — | ×0.968 | 17.19% |
| Doubles /BIP | 10.00% | ÷0.955 | ×0.780 | — | ×0.968 | 7.91% |
| Triples /BIP | 0.00% | ÷0.964 | ×0.850 | — | ×0.968 | 0.00% |
| Home runs /BIP | 10.00% | ÷1.029 | ×0.880 | — | ×0.968 | 8.28% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 106, 1B 96, 2B 91, 3B 93, K 98, BB 93 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).
Result: wOBA .416 → .340; ISO .286 → .255; BABIP .300 → .249. 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 AAANorfolk Tides · 209 PAwOBA .216 → .173 (−42)K% 33.0% → 40.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.01% | ÷0.982 | ×1.200 | — | — | 40.35% |
| BB% (unintentional) /PA | 7.18% | ÷1.030 | ×0.690 | — | ×1.033 | 4.96% |
| HBP% /PA | 0.96% | — | ×0.940 | — | ×1.033 | 0.93% |
| Singles /BIP | 17.21% | ÷0.981 | ×0.930 | ×1.016 | ×1.033 | 17.13% |
| Doubles /BIP | 3.28% | ÷0.977 | ×0.830 | ×1.016 | ×1.033 | 2.92% |
| Triples /BIP | 0.82% | ÷1.150 | ×0.920 | ×1.016 | ×1.033 | 0.69% |
| Home runs /BIP | 3.28% | ÷1.009 | ×0.700 | — | ×1.033 | 2.35% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 96, 2B 95, 3B 130, K 96, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.
Result: wOBA .216 → .173; ISO .094 → .067; BABIP .218 → .210. 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 AABowie Baysox · 44 PAwOBA .270 → .205 (−65)K% 29.5% → 36.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.55% | ÷0.983 | ×1.220 | — | — | 36.67% |
| BB% (unintentional) /PA | 9.09% | ÷1.065 | ×0.690 | — | ×0.998 | 5.88% |
| HBP% /PA | 2.27% | — | ×0.850 | — | ×0.998 | 1.93% |
| Singles /BIP | 11.54% | ÷0.978 | ×0.940 | — | ×0.998 | 11.07% |
| Doubles /BIP | 11.54% | ÷0.995 | ×0.870 | — | ×0.998 | 10.07% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.920 | — | ×0.998 | 0.00% |
| Home runs /BIP | 3.85% | ÷1.258 | ×0.780 | — | ×0.998 | 2.38% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 152, 1B 96, 2B 99, 3B 80, K 97, BB 113 — 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).
Result: wOBA .270 → .205; ISO .154 → .108; BABIP .240 → .217. 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 AABowie Baysox · 322 PAwOBA .348 → .282 (−66)K% 20.8% → 27.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.81% | ÷0.940 | ×1.220 | — | — | 27.01% |
| BB% (unintentional) /PA | 9.94% | ÷1.020 | ×0.700 | — | ×1.027 | 7.00% |
| HBP% /PA | 0.31% | — | ×0.850 | — | ×1.027 | 0.27% |
| Singles /BIP | 18.72% | ÷1.031 | ×0.970 | ×0.950 | ×1.027 | 17.18% |
| Doubles /BIP | 8.68% | ÷0.987 | ×0.860 | ×0.950 | ×1.027 | 7.38% |
| Triples /BIP | 1.83% | ÷1.116 | ×0.950 | ×0.950 | ×1.027 | 1.52% |
| Home runs /BIP | 5.02% | ÷0.987 | ×0.780 | — | ×1.027 | 4.08% |
Factors used: league row EL. Park (home-season share, regressed): HR 97, 1B 106, 2B 97, 3B 123, K 88, BB 104 — 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 ×0.950.
Result: wOBA .348 → .282; ISO .210 → .167; BABIP .303 → .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).
2019 A+Frederick Keys · 25 PAwOBA .294 → .222 (−72)K% 28.0% → 39.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.00% | ÷1.001 | ×1.420 | — | — | 39.70% |
| BB% (unintentional) /PA | 12.00% | ÷1.111 | ×0.630 | — | ×0.998 | 6.79% |
| HBP% /PA | 0.00% | — | ×0.860 | — | ×0.998 | 0.00% |
| Singles /BIP | 40.00% | ÷1.008 | ×0.940 | — | ×0.998 | 37.23% |
| Doubles /BIP | 0.00% | ÷0.969 | ×0.830 | — | ×0.998 | 0.00% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.800 | — | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.135 | ×0.900 | — | ×0.998 | 0.00% |
Factors used: league row CAR. Park (home-season share, regressed): HR 127, 1B 102, 2B 94, 3B 80, K 100, BB 122 — 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 .294 → .222; ISO .000 → .000; BABIP .400 → .372. 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 — .