Nelson Quiroz
C Tulsa Drillers| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 22 | A+LAD | 202 | .255/.322/.299 | 1 | 0 | 52 | — | .228/.277/.265 |
| 2025 | 23 | AA/A+LAD | 206 | .333/.395/.441 | 1 | 0 | 102 | — | .307/.351/.406 |
| 2026 | 24 | AA/ROK/INTL2 orgs | 113 | .313/.393/.485 | 2 | 0 | 103 | — | .247/.291/.370 |
| 2027PROJMLE | 25 | MLBLAD | 2 | .237/.289/.326 | 0 | 0 | 77 | 0.0 | |
| 2028PROJ31% MLB | 26 | MLBLAD | 47 | .239/.291/.336 | 1 | 1 | 80 | 0.1 | |
| 2029PROJ42% MLB | 27 | MLBLAD | 81 | .238/.292/.337 | 1 | 1 | 81 | 0.2 |
Tools · ContractCON 68 / POW 32
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.
| 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 | 17 | ROK | DSL Dodgers Shoemaker | — | 144 | 125 | 33 | 2 | 1 | 1 | 15 | 21 | 2 | 1 | 1 | 264 | 352 | 320 | 672 | 56 | 305 | 15 | 10 | 309 | 23 | — | — | — | — | — | — |
| 2021 | 19 | ROK | ACL Dodgers | — | 111 | 92 | 25 | 11 | 0 | 0 | 16 | 12 | 2 | 0 | 0 | 272 | 391 | 391 | 782 | 120 | 309 | 11 | 14 | 355 | 68 | — | — | — | — | — | — |
| 2022 | 20 | A | Rancho Cucamonga Quakes | — | 50 | 44 | 15 | 2 | 0 | 4 | 6 | 5 | 0 | 0 | 0 | 341 | 420 | 659 | 1.079 | 318 | 314 | 10 | 12 | 464 | 125 | — | — | — | — | — | — |
| 2024 | 22 | A+ | Great Lakes Loons | — | 202 | 184 | 47 | 5 | 0 | 1 | 16 | 16 | 2 | 0 | 0 | 255 | 322 | 299 | 621 | 43 | 275 | 8 | 8 | 288 | 52 | — | — | — | — | — | — |
| 2025 | 23 | AA | Tulsa Drillers | — | 99 | 88 | 26 | 2 | 2 | 0 | 10 | 6 | 0 | 0 | 0 | 295 | 367 | 364 | 731 | 68 | 313 | 6 | 10 | 330 | 82 | — | — | — | — | — | — |
| 2025 | 23 | A+ | Great Lakes Loons | — | 107 | 98 | 36 | 11 | 0 | 1 | 8 | 12 | 1 | 0 | 0 | 367 | 421 | 510 | 931 | 143 | 412 | 11 | 7 | 413 | 121 | — | — | — | — | — | — |
| 2026 | 24 | AA | Tulsa Drillers | — | 57 | 52 | 15 | 5 | 0 | 1 | 4 | 10 | 0 | 0 | 0 | 288 | 339 | 442 | 782 | 154 | 333 | 18 | 7 | 341 | 80 | — | — | — | — | — | — |
| 2026 | 24 | ROK | ACL Dodgers | — | 30 | 26 | 10 | 2 | 1 | 0 | 4 | 5 | 0 | 0 | 0 | 385 | 467 | 538 | 1.005 | 154 | 476 | 17 | 13 | 444 | 88 | — | — | — | — | — | — |
| 2026 | 24 | INTL | Mayos de Navojoa | — | 26 | 21 | 6 | 2 | 0 | 1 | 4 | 9 | 1 | 0 | 0 | 286 | 423 | 524 | 947 | 238 | 455 | 35 | 15 | 419 | 170 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 17 | ROK MLE | DSL Dodgers Shoemaker | — | 144 | 129 | 21 | 1 | 1 | 0 | 11 | 26 | 2 | 1 | 1 | 163 | 239 | 186 | 425 | 23 | 195 | 18 | 8 | 202 | 23 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL Dodgers | — | 111 | 98 | 21 | 9 | 0 | 0 | 10 | 18 | 2 | 0 | 0 | 214 | 300 | 306 | 606 | 92 | 252 | 16 | 9 | 268 | 68 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | Rancho Cucamonga Quakes | — | 50 | 46 | 14 | 2 | 0 | 3 | 4 | 7 | 0 | 0 | 0 | 304 | 360 | 543 | 903 | 239 | 286 | 14 | 8 | 353 | 125 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | Great Lakes Loons | — | 202 | 189 | 43 | 4 | 0 | 1 | 11 | 21 | 2 | 0 | 0 | 228 | 277 | 265 | 542 | 37 | 254 | 10 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2025 | 23 | AA MLE | Tulsa Drillers | — | 99 | 91 | 26 | 2 | 2 | 0 | 7 | 7 | 0 | 0 | 0 | 286 | 337 | 352 | 688 | 66 | 290 | 7 | 7 | 289 | 82 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | Great Lakes Loons | — | 107 | 101 | 33 | 10 | 0 | 1 | 5 | 16 | 1 | 0 | 0 | 327 | 364 | 455 | 820 | 129 | 374 | 15 | 5 | 347 | 121 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Tulsa Drillers | — | 57 | 53 | 13 | 4 | 0 | 1 | 3 | 12 | 0 | 0 | 0 | 245 | 286 | 377 | 663 | 132 | 295 | 21 | 5 | 286 | 80 | — | — | — | — | — | — |
| 2026 | 24 | ROK MLE | ACL Dodgers | — | 30 | 28 | 7 | 1 | 1 | 0 | 2 | 7 | 0 | 0 | 0 | 250 | 300 | 357 | 657 | 107 | 355 | 23 | 7 | 299 | 88 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Dodgers Shoemaker | — | 144 | 129 | 21 | 1 | 1 | 0 | 11 | 26 | 2 | 1 | 1 | 163 | 239 | 186 | 425 | 23 | 200 | 18 | 8 | 202 | 23 | — | — | — | — | — | — |
| 2019 | 17 | ROK RAW | DSL Dodgers Shoemaker | — | 144 | 125 | 33 | 2 | 1 | 1 | 15 | 21 | 2 | 1 | 1 | 264 | 352 | 320 | 672 | 56 | 305 | 15 | 10 | 309 | 23 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL Dodgers | — | 111 | 98 | 21 | 9 | 0 | 0 | 10 | 18 | 2 | 0 | 0 | 214 | 300 | 306 | 606 | 92 | 259 | 16 | 9 | 268 | 68 | — | — | — | — | — | — |
| 2021 | 19 | ROK RAW | ACL Dodgers | — | 111 | 92 | 25 | 11 | 0 | 0 | 16 | 12 | 2 | 0 | 0 | 272 | 391 | 391 | 782 | 120 | 309 | 11 | 14 | 355 | 68 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | Rancho Cucamonga Quakes | — | 50 | 46 | 14 | 2 | 0 | 3 | 4 | 7 | 0 | 0 | 0 | 304 | 360 | 543 | 903 | 239 | 306 | 14 | 8 | 353 | 125 | — | — | — | — | — | — |
| 2022 | 20 | A RAW | Rancho Cucamonga Quakes | — | 50 | 44 | 15 | 2 | 0 | 4 | 6 | 5 | 0 | 0 | 0 | 341 | 420 | 659 | 1.079 | 318 | 314 | 10 | 12 | 464 | 125 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | Great Lakes Loons | — | 202 | 189 | 43 | 4 | 0 | 1 | 11 | 21 | 2 | 0 | 0 | 228 | 277 | 265 | 542 | 37 | 251 | 10 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2024 | 22 | A+ RAW | Great Lakes Loons | — | 202 | 184 | 47 | 5 | 0 | 1 | 16 | 16 | 2 | 0 | 0 | 255 | 322 | 299 | 621 | 43 | 275 | 8 | 8 | 288 | 52 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | 2 teams | — | 206 | 192 | 57 | 11 | 2 | 1 | 12 | 23 | 1 | 0 | 0 | 297 | 341 | 391 | 732 | 94 | 331 | 11 | 6 | 319 | 102 | — | — | — | — | — | — |
| 2025 | 23 | A+ RAW | 2 teams | — | 206 | 186 | 62 | 13 | 2 | 1 | 18 | 18 | 1 | 0 | 0 | 333 | 395 | 441 | 836 | 108 | 363 | 9 | 9 | 373 | 102 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | 3 teams | — | 113 | 104 | 27 | 7 | 1 | 1 | 7 | 25 | 1 | 0 | 0 | 260 | 312 | 375 | 688 | 115 | 329 | 22 | 6 | 290 | 83 | — | — | — | — | — | — |
| 2026 | 24 | AA RAW | 3 teams | — | 113 | 99 | 31 | 9 | 1 | 2 | 12 | 24 | 1 | 0 | 0 | 313 | 393 | 485 | 878 | 172 | 392 | 21 | 11 | 386 | 83 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Dodgers Shoemaker | — | 144 | 130 | 21 | 1 | 1 | 0 | 11 | 26 | 2 | 1 | 1 | 162 | 239 | 185 | 424 | 23 | 195 | 18 | 8 | 202 | 23 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL Dodgers | — | 111 | 98 | 21 | 9 | 0 | 0 | 10 | 18 | 2 | 0 | 0 | 214 | 300 | 306 | 606 | 92 | 252 | 16 | 9 | 268 | 68 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | Rancho Cucamonga Quakes | — | 50 | 46 | 14 | 2 | 0 | 3 | 4 | 7 | 0 | 0 | 0 | 304 | 360 | 543 | 903 | 239 | 286 | 14 | 8 | 353 | 125 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | Great Lakes Loons | — | 202 | 187 | 43 | 4 | 0 | 1 | 11 | 21 | 2 | 0 | 0 | 230 | 277 | 267 | 545 | 37 | 254 | 10 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | 2 teams | — | 206 | 191 | 57 | 11 | 2 | 1 | 12 | 23 | 1 | 0 | 0 | 298 | 341 | 393 | 734 | 94 | 334 | 11 | 6 | 319 | 102 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | 3 teams | — | 113 | 104 | 27 | 7 | 1 | 1 | 7 | 25 | 1 | 0 | 0 | 260 | 312 | 375 | 688 | 115 | 316 | 22 | 6 | 290 | 83 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | A+ MLE | Great Lakes Loons | — | 202 | 187 | 43 | 4 | 0 | 1 | 11 | 21 | 2 | 0 | 0 | 230 | 277 | 267 | 545 | 37 | 254 | 10 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | 2 teams | — | 206 | 191 | 57 | 11 | 2 | 1 | 12 | 23 | 1 | 0 | 0 | 298 | 341 | 393 | 734 | 94 | 334 | 11 | 6 | 319 | 102 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | 3 teams | — | 113 | 104 | 27 | 7 | 1 | 1 | 7 | 25 | 1 | 0 | 0 | 260 | 312 | 375 | 688 | 115 | 316 | 22 | 6 | 290 | 83 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | LAD | 2% | 200 | 185 | 45 | 9 | 1 | 2 | 12 | 40 | 1 | 3 | 1 | 242 | 293 | 335 | 628 | 93 | 296 | 20 | 6 | 282 | 77 | -5 | +0 | +0 | +4 | +4 | 0.2 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB CTX | LAD | 2% | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 289 | 326 | 615 | 89 | 289 | 0 | 0 | 277 | 77 | -0 | +0 | +0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | LAD | 31% | 151 | 140 | 34 | 7 | 1 | 2 | 9 | 30 | 1 | 2 | 1 | 243 | 296 | 344 | 640 | 100 | 295 | 20 | 6 | 287 | 80 | -4 | +0 | +0 | +3 | +3 | 0.2 |
| 2029 | 27 | MLB MLE | LAD | 42% | 192 | 177 | 43 | 9 | 1 | 2 | 12 | 39 | 1 | 2 | 1 | 243 | 296 | 344 | 641 | 102 | 295 | 20 | 6 | 287 | 81 | -4 | +0 | +0 | +3 | +4 | 0.3 |
| 2030 | 28 | MLB MLE | LAD | 48% | 227 | 208 | 50 | 10 | 1 | 3 | 15 | 47 | 2 | 3 | 1 | 241 | 296 | 343 | 639 | 102 | 294 | 21 | 7 | 287 | 80 | -5 | +0 | -1 | +4 | +5 | 0.3 |
| 2028 | 26 | MLB CTX | LAD | 31% | 47 | 44 | 11 | 2 | 0 | 1 | 3 | 9 | 0 | 1 | 0 | 239 | 291 | 336 | 627 | 97 | 289 | 19 | 6 | 282 | 80 | -1 | +0 | +0 | +1 | +1 | 0.1 |
| 2029 | 27 | MLB CTX | LAD | 42% | 81 | 75 | 17 | 3 | 0 | 1 | 5 | 16 | 1 | 1 | 0 | 238 | 292 | 337 | 629 | 99 | 288 | 20 | 6 | 282 | 81 | -2 | +0 | +0 | +1 | +2 | 0.2 |
| 2030 | 28 | MLB CTX | LAD | 48% | 109 | 100 | 23 | 5 | 0 | 1 | 7 | 22 | 1 | 1 | 0 | 236 | 291 | 336 | 627 | 99 | 287 | 20 | 6 | 282 | 80 | -3 | +0 | -0 | +2 | +2 | 0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 237 | 219 | 51 | 10 | 0 | 3 | 15 | 47 | 2 | 3 | 0 | 233 | 288 | 320 | 608 | 87 | 282 | 20 | 6 | 282 | 74 | -6 | +1 | -0 | +4 | +5 | 0.4 | |
| / 162G | — | A+C | — | 650 | 601 | 139 | 27 | 0 | 8 | 41 | 129 | 5 | 8 | 0 | 231 | 286 | 316 | 602 | 85 | 281 | 20 | 6 | 282 | 74 | -15 | +2 | -1 | +12 | +14 | 1.1 | |
| Career | — | MLE | — | 1485 | 1366 | 331 | 64 | 8 | 14 | 96 | 254 | 13 | 9 | 4 | 242 | 298 | 332 | 630 | 89 | 287 | 17 | 6 | 278 | 74 | -16 | +0 | -1 | +12 | +14 | 1.0 | |
| / 162G | — | MLE | — | 650 | 598 | 145 | 28 | 4 | 6 | 42 | 111 | 6 | 4 | 2 | 242 | 299 | 333 | 632 | 90 | 287 | 17 | 6 | 278 | 74 | -15 | +0 | -1 | +12 | +14 | 1.0 | |
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.
2026 AATulsa Drillers · 57 PAwOBA .338 → .286 (−52)K% 17.5% → 21.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.54% | ÷1.000 | ×1.220 | — | — | 21.40% |
| BB% (unintentional) /PA | 7.02% | ÷1.000 | ×0.700 | — | ×0.998 | 4.90% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.998 | 0.00% |
| Singles /BIP | 21.43% | ÷1.000 | ×0.920 | — | ×0.998 | 19.67% |
| Doubles /BIP | 11.90% | ÷1.000 | ×0.840 | — | ×0.998 | 9.98% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.940 | — | ×0.998 | 0.00% |
| Home runs /BIP | 2.38% | ÷1.000 | ×0.800 | — | ×0.998 | 1.90% |
Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 .338 → .286; ISO .154 → .127; BABIP .333 → .295. 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 ROKACL Dodgers · 30 PAwOBA .433 → .299 (−134)K% 16.7% → 24.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷1.000 | ×1.440 | — | — | 24.00% |
| BB% (unintentional) /PA | 13.33% | ÷1.000 | ×0.620 | — | ×0.945 | 7.81% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.945 | 0.00% |
| Singles /BIP | 33.33% | ÷1.000 | ×0.820 | — | ×0.945 | 25.83% |
| Doubles /BIP | 9.52% | ÷1.000 | ×0.720 | — | ×0.945 | 6.48% |
| Triples /BIP | 4.76% | ÷1.000 | ×0.720 | — | ×0.945 | 3.24% |
| Home runs /BIP | 0.00% | ÷1.000 | ×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): no park row on file (treated as neutral) — 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 .433 → .299; ISO .154 → .102; BABIP .476 → .355. 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 A+Great Lakes Loons · 107 PAwOBA .402 → .347 (−55)K% 11.2% → 14.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.21% | ÷0.980 | ×1.270 | — | — | 14.53% |
| BB% (unintentional) /PA | 7.48% | ÷1.023 | ×0.710 | — | ×0.988 | 5.13% |
| HBP% /PA | 0.93% | — | ×0.790 | — | ×0.988 | 0.73% |
| Singles /BIP | 27.91% | ÷1.000 | ×0.920 | ×1.016 | ×0.988 | 25.79% |
| Doubles /BIP | 12.79% | ÷0.927 | ×0.810 | ×1.016 | ×0.988 | 11.23% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.850 | ×1.016 | ×0.988 | 0.00% |
| Home runs /BIP | 1.16% | ÷0.992 | ×0.800 | — | ×0.988 | 0.93% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 98, 1B 100, 2B 85, 3B 130, K 96, BB 105 — 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 ×1.016.
Result: wOBA .402 → .347; ISO .143 → .122; BABIP .412 → .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).
2025 AATulsa Drillers · 99 PAwOBA .325 → .289 (−36)K% 6.1% → 7.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 6.06% | ÷0.984 | ×1.220 | — | — | 7.52% |
| BB% (unintentional) /PA | 10.10% | ÷1.061 | ×0.700 | — | ×1.012 | 6.74% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×1.012 | 0.00% |
| Singles /BIP | 26.83% | ÷0.968 | ×0.920 | ×0.982 | ×1.012 | 25.35% |
| Doubles /BIP | 2.44% | ÷1.014 | ×0.840 | ×0.982 | ×1.012 | 2.01% |
| Triples /BIP | 2.44% | ÷1.137 | ×0.940 | ×0.982 | ×1.012 | 2.00% |
| Home runs /BIP | 0.00% | ÷0.957 | ×0.800 | — | ×1.012 | 0.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 94, 2B 103, 3B 127, K 97, BB 112 — 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 ×0.982.
Result: wOBA .325 → .289; ISO .068 → .058; BABIP .313 → .290. 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 A+Great Lakes Loons · 202 PAwOBA .281 → .245 (−36)K% 7.9% → 10.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.92% | ÷0.990 | ×1.270 | — | — | 10.16% |
| BB% (unintentional) /PA | 7.92% | ÷1.037 | ×0.710 | — | ×0.998 | 5.41% |
| HBP% /PA | 0.99% | — | ×0.790 | — | ×0.998 | 0.78% |
| Singles /BIP | 24.40% | ÷1.004 | ×0.920 | ×1.019 | ×0.998 | 22.74% |
| Doubles /BIP | 2.98% | ÷0.950 | ×0.810 | ×1.019 | ×0.998 | 2.58% |
| Triples /BIP | 0.00% | ÷0.948 | ×0.850 | ×1.019 | ×0.998 | 0.00% |
| Home runs /BIP | 0.60% | ÷1.036 | ×0.800 | — | ×0.998 | 0.46% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 107, 1B 101, 2B 90, 3B 90, K 98, BB 107 — 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 ×1.019.
Result: wOBA .281 → .245; ISO .043 → .036; BABIP .275 → .254. 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 ARancho Cucamonga Quakes · 50 PAwOBA .451 → .353 (−98)K% 10.0% → 14.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.00% | ÷0.930 | ×1.360 | — | — | 14.63% |
| BB% (unintentional) /PA | 12.00% | ÷1.072 | ×0.690 | — | ×1.015 | 7.84% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.015 | 0.00% |
| Singles /BIP | 23.08% | ÷0.981 | ×0.920 | — | ×1.015 | 21.97% |
| Doubles /BIP | 5.13% | ÷0.923 | ×0.830 | — | ×1.015 | 4.68% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | — | ×1.015 | 0.00% |
| Home runs /BIP | 10.26% | ÷1.247 | ×0.800 | — | ×1.015 | 6.68% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 96, 2B 85, 3B 130, K 86, BB 114 — 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 .451 → .353; ISO .318 → .218; BABIP .314 → .286. 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 ROKACL Dodgers · 111 PAwOBA .350 → .268 (−82)K% 10.8% → 16.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.81% | ÷0.973 | ×1.440 | — | — | 16.00% |
| BB% (unintentional) /PA | 14.41% | ÷1.007 | ×0.620 | — | ×0.995 | 8.83% |
| HBP% /PA | 1.80% | — | ×0.720 | — | ×0.995 | 1.29% |
| Singles /BIP | 17.50% | ÷0.996 | ×0.820 | ×1.030 | ×0.995 | 14.77% |
| Doubles /BIP | 13.75% | ÷0.942 | ×0.720 | ×1.030 | ×0.995 | 10.76% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | ×1.030 | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.068 | ×0.780 | — | ×0.995 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 99, 2B 88, 3B 130, K 95, BB 101 — 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 ×1.030.
Result: wOBA .350 → .268; ISO .120 → .096; BABIP .309 → .252. 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 Dodgers Shoemaker · 144 PAwOBA .305 → .202 (−104)K% 14.6% → 17.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.58% | ÷1.000 | ×1.220 | — | — | 17.79% |
| BB% (unintentional) /PA | 10.42% | ÷1.000 | ×0.700 | — | ×1.008 | 7.35% |
| HBP% /PA | 1.39% | — | ×0.700 | — | ×1.008 | 0.98% |
| Singles /BIP | 27.88% | ÷1.000 | ×0.680 | ×0.950 | ×1.008 | 18.15% |
| Doubles /BIP | 1.92% | ÷1.000 | ×0.600 | ×0.950 | ×1.008 | 1.10% |
| Triples /BIP | 0.96% | ÷1.000 | ×0.600 | ×0.950 | ×1.008 | 0.55% |
| Home runs /BIP | 0.96% | ÷1.000 | ×0.470 | — | ×1.008 | 0.46% |
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 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 .305 → .202; ISO .056 → .030; BABIP .305 → .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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .