Luke Shliger
C West Michigan Whitecaps| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 22 | A+/ASF | 346 | .239/.390/.341 | 3 | 11 | 66 | — | .194/.314/.269 |
| 2025 | 23 | A+SF | 230 | .263/.388/.366 | 4 | 11 | 78 | — | .223/.317/.299 |
| 2026 | 24 | AA/A+DET | 247 | .296/.412/.507 | 10 | 8 | 107 | — | .246/.338/.408 |
| 2027PROJMLE | 25 | MLBDET | 1 | .216/.308/.337 | 0 | 0 | 88 | 0.0 | |
| 2028PROJ38% MLB | 26 | MLBDET | 70 | .217/.308/.340 | 2 | 2 | 89 | 0.2 | |
| 2029PROJ52% MLB | 27 | MLBDET | 117 | .218/.308/.340 | 3 | 2 | 89 | 0.3 |
Tools · ContractCON 45 / POW 35
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) | |||||||||||||||||||||||||||||||
| 2023 | 21 | A | San Jose Giants | — | 67 | 57 | 17 | 3 | 0 | 0 | 8 | 10 | 2 | 1 | 1 | 298 | 403 | 351 | 754 | 53 | 362 | 15 | 12 | 352 | 70 | — | — | — | — | — | — |
| 2024 | 22 | A+ | Eugene Emeralds | — | 70 | 61 | 17 | 4 | 0 | 2 | 7 | 21 | 1 | 1 | 0 | 279 | 362 | 443 | 805 | 164 | 395 | 30 | 10 | 355 | 62 | — | — | — | — | — | — |
| 2024 | 22 | A | San Jose Giants | — | 276 | 215 | 49 | 11 | 2 | 1 | 50 | 50 | 10 | 10 | 4 | 228 | 396 | 312 | 708 | 84 | 291 | 18 | 18 | 338 | 67 | — | — | — | — | — | — |
| 2025 | 23 | A+ | Eugene Emeralds | — | 230 | 186 | 49 | 7 | 0 | 4 | 34 | 53 | 4 | 11 | 3 | 263 | 388 | 366 | 754 | 102 | 336 | 23 | 15 | 341 | 78 | — | — | — | — | — | — |
| 2026 | 24 | AA | Erie SeaWolves | — | 74 | 63 | 25 | 6 | 1 | 6 | 9 | 15 | 0 | 3 | 1 | 397 | 472 | 810 | 1.282 | 413 | 432 | 20 | 12 | 526 | 193 | — | — | — | — | — | — |
| 2026 | 24 | A+ | West Michigan Whitecaps | — | 173 | 140 | 35 | 5 | 0 | 4 | 25 | 37 | 6 | 5 | 3 | 250 | 386 | 371 | 757 | 121 | 307 | 21 | 14 | 348 | 70 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 21 | A MLE | San Jose Giants | — | 67 | 60 | 14 | 2 | 0 | 0 | 5 | 15 | 2 | 1 | 1 | 233 | 313 | 267 | 580 | 33 | 312 | 22 | 7 | 272 | 70 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | Eugene Emeralds | — | 70 | 63 | 13 | 3 | 0 | 1 | 5 | 29 | 1 | 1 | 0 | 206 | 275 | 302 | 577 | 95 | 347 | 41 | 7 | 260 | 62 | — | — | — | — | — | — |
| 2024 | 22 | A MLE | San Jose Giants | — | 276 | 230 | 44 | 9 | 2 | 1 | 35 | 71 | 10 | 10 | 4 | 191 | 324 | 261 | 585 | 70 | 262 | 26 | 13 | 267 | 67 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | Eugene Emeralds | — | 230 | 197 | 44 | 6 | 0 | 3 | 23 | 67 | 4 | 11 | 3 | 223 | 317 | 299 | 616 | 76 | 293 | 29 | 10 | 283 | 78 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Erie SeaWolves | — | 74 | 66 | 23 | 5 | 1 | 5 | 6 | 18 | 0 | 3 | 1 | 348 | 403 | 682 | 1.085 | 333 | 391 | 24 | 8 | 453 | 193 | — | — | — | — | — | — |
| 2026 | 24 | A+ MLE | West Michigan Whitecaps | — | 173 | 148 | 30 | 4 | 0 | 3 | 17 | 47 | 6 | 5 | 3 | 203 | 310 | 291 | 600 | 88 | 258 | 27 | 10 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | San Jose Giants | — | 67 | 60 | 14 | 2 | 0 | 0 | 5 | 15 | 2 | 1 | 1 | 233 | 313 | 267 | 580 | 33 | 311 | 22 | 7 | 272 | 70 | — | — | — | — | — | — |
| 2023 | 21 | A RAW | San Jose Giants | — | 67 | 57 | 17 | 3 | 0 | 0 | 8 | 10 | 2 | 1 | 1 | 298 | 403 | 351 | 754 | 53 | 362 | 15 | 12 | 352 | 70 | — | — | — | — | — | — |
| 2024 | 22 | A MLE | 2 teams | — | 346 | 293 | 57 | 12 | 2 | 2 | 40 | 101 | 11 | 11 | 4 | 195 | 314 | 270 | 584 | 75 | 288 | 29 | 12 | 266 | 66 | — | — | — | — | — | — |
| 2024 | 22 | A RAW | 2 teams | — | 346 | 276 | 66 | 15 | 2 | 3 | 57 | 71 | 11 | 11 | 4 | 239 | 390 | 341 | 730 | 101 | 310 | 21 | 16 | 342 | 66 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | Eugene Emeralds | — | 230 | 197 | 44 | 6 | 0 | 3 | 23 | 67 | 4 | 11 | 3 | 223 | 317 | 299 | 616 | 76 | 311 | 29 | 10 | 283 | 78 | — | — | — | — | — | — |
| 2025 | 23 | A+ RAW | Eugene Emeralds | — | 230 | 186 | 49 | 7 | 0 | 4 | 34 | 53 | 4 | 11 | 3 | 263 | 388 | 366 | 754 | 102 | 336 | 23 | 15 | 341 | 78 | — | — | — | — | — | — |
| 2026 | 24 | A+ MLE | 2 teams | — | 247 | 213 | 53 | 9 | 1 | 8 | 24 | 65 | 6 | 8 | 4 | 249 | 342 | 413 | 755 | 164 | 312 | 26 | 10 | 326 | 106 | — | — | — | — | — | — |
| 2026 | 24 | A+ RAW | 2 teams | — | 247 | 203 | 60 | 11 | 1 | 10 | 34 | 52 | 6 | 8 | 4 | 296 | 412 | 507 | 919 | 212 | 345 | 21 | 14 | 401 | 106 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | San Jose Giants | — | 67 | 60 | 14 | 2 | 0 | 0 | 5 | 15 | 2 | 1 | 1 | 233 | 313 | 267 | 580 | 33 | 312 | 22 | 7 | 272 | 70 | — | — | — | — | — | — |
| 2024 | 22 | A MLE | 2 teams | — | 346 | 292 | 57 | 12 | 2 | 2 | 40 | 101 | 11 | 11 | 4 | 195 | 314 | 271 | 585 | 75 | 279 | 29 | 12 | 266 | 66 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | Eugene Emeralds | — | 230 | 201 | 44 | 6 | 0 | 3 | 23 | 67 | 4 | 11 | 3 | 219 | 317 | 294 | 610 | 75 | 293 | 29 | 10 | 283 | 78 | — | — | — | — | — | — |
| 2026 | 24 | A+ MLE | 2 teams | — | 247 | 215 | 53 | 9 | 1 | 8 | 24 | 65 | 6 | 8 | 4 | 247 | 342 | 409 | 751 | 163 | 298 | 26 | 10 | 326 | 106 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | A MLE | 2 teams | — | 346 | 292 | 57 | 12 | 2 | 2 | 40 | 101 | 11 | 11 | 4 | 195 | 314 | 271 | 585 | 75 | 279 | 29 | 12 | 266 | 66 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | Eugene Emeralds | — | 230 | 201 | 44 | 6 | 0 | 3 | 23 | 67 | 4 | 11 | 3 | 219 | 317 | 294 | 610 | 75 | 293 | 29 | 10 | 283 | 78 | — | — | — | — | — | — |
| 2026 | 24 | A+ MLE | 2 teams | — | 247 | 215 | 53 | 9 | 1 | 8 | 24 | 65 | 6 | 8 | 4 | 247 | 342 | 409 | 751 | 163 | 298 | 26 | 10 | 326 | 106 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | DET | 0% | 297 | 261 | 58 | 10 | 1 | 7 | 29 | 79 | 5 | 7 | 2 | 220 | 311 | 345 | 656 | 125 | 286 | 27 | 10 | 298 | 88 | -4 | +1 | +0 | +5 | +6 | 0.5 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB CTX | DET | 0% | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 216 | 308 | 337 | 645 | 121 | 282 | 0 | 0 | 294 | 88 | -0 | +0 | +0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | DET | 38% | 185 | 162 | 36 | 6 | 1 | 4 | 18 | 49 | 3 | 4 | 1 | 221 | 312 | 348 | 660 | 127 | 286 | 26 | 10 | 299 | 89 | -2 | +0 | +0 | +3 | +4 | 0.5 |
| 2029 | 27 | MLB MLE | DET | 52% | 225 | 197 | 44 | 8 | 1 | 5 | 22 | 59 | 4 | 5 | 2 | 222 | 311 | 348 | 660 | 127 | 286 | 26 | 10 | 299 | 89 | -3 | +0 | +0 | +4 | +5 | 0.6 |
| 2030 | 28 | MLB MLE | DET | 60% | 252 | 221 | 50 | 9 | 1 | 6 | 25 | 67 | 4 | 5 | 2 | 221 | 309 | 347 | 656 | 126 | 285 | 27 | 10 | 298 | 88 | -4 | +0 | -1 | +4 | +5 | 0.6 |
| 2031 | 29 | MLB MLE | DET | 62% | 261 | 230 | 51 | 9 | 1 | 6 | 25 | 69 | 4 | 4 | 2 | 220 | 307 | 343 | 651 | 124 | 284 | 26 | 10 | 295 | 86 | -4 | +0 | -1 | +5 | +6 | 0.5 |
| 2032 | 30 | MLB MLE | DET | 63% | 267 | 236 | 52 | 9 | 1 | 6 | 25 | 71 | 4 | 4 | 2 | 218 | 304 | 339 | 643 | 121 | 282 | 27 | 9 | 292 | 84 | -5 | +0 | -2 | +5 | +6 | 0.3 |
| 2033 | 31 | MLB MLE | DET | 69% | 244 | 216 | 46 | 8 | 1 | 5 | 23 | 66 | 3 | 3 | 2 | 214 | 299 | 329 | 628 | 115 | 279 | 27 | 9 | 286 | 80 | -6 | -0 | -3 | +4 | +5 | 0.1 |
| 2028 | 26 | MLB CTX | DET | 38% | 70 | 62 | 13 | 2 | 0 | 2 | 7 | 19 | 1 | 2 | 1 | 217 | 308 | 340 | 648 | 122 | 282 | 27 | 10 | 295 | 89 | -1 | +0 | +0 | +1 | +2 | 0.2 |
| 2029 | 27 | MLB CTX | DET | 52% | 117 | 103 | 22 | 4 | 0 | 3 | 11 | 31 | 2 | 2 | 1 | 218 | 308 | 340 | 648 | 122 | 281 | 26 | 9 | 295 | 89 | -2 | +0 | +0 | +2 | +3 | 0.3 |
| 2030 | 28 | MLB CTX | DET | 60% | 150 | 132 | 28 | 5 | 0 | 3 | 15 | 40 | 2 | 3 | 1 | 217 | 306 | 338 | 644 | 121 | 281 | 27 | 10 | 293 | 88 | -2 | +0 | -0 | +3 | +3 | 0.4 |
| 2031 | 29 | MLB CTX | DET | 62% | 161 | 143 | 30 | 5 | 0 | 4 | 15 | 43 | 2 | 3 | 1 | 216 | 304 | 335 | 639 | 119 | 279 | 27 | 9 | 291 | 86 | -3 | +0 | -1 | +3 | +3 | 0.3 |
| 2032 | 30 | MLB CTX | DET | 63% | 167 | 147 | 32 | 6 | 0 | 4 | 16 | 44 | 2 | 3 | 1 | 214 | 301 | 331 | 631 | 117 | 278 | 26 | 10 | 287 | 84 | -3 | +0 | -1 | +3 | +4 | 0.2 |
| 2033 | 31 | MLB CTX | DET | 69% | 168 | 148 | 30 | 5 | 0 | 3 | 16 | 45 | 2 | 2 | 2 | 210 | 296 | 321 | 617 | 111 | 275 | 27 | 10 | 282 | 80 | -4 | -0 | -2 | +3 | +4 | 0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 833 | 735 | 155 | 27 | 0 | 19 | 80 | 222 | 11 | 15 | 7 | 211 | 298 | 325 | 623 | 114 | 273 | 27 | 10 | 290 | 84 | -15 | +0 | -5 | +15 | +18 | 1.4 | |
| / 162G | — | A+C | — | 650 | 574 | 121 | 21 | 0 | 15 | 62 | 173 | 9 | 12 | 5 | 211 | 298 | 326 | 624 | 115 | 272 | 27 | 10 | 290 | 84 | -11 | +0 | -4 | +12 | +14 | 1.1 | |
| Career | — | MLE | — | 2470 | 2154 | 474 | 83 | 9 | 48 | 244 | 668 | 47 | 59 | 24 | 220 | 313 | 334 | 647 | 114 | 293 | 27 | 10 | 292 | 84 | -27 | +1 | -7 | +28 | +34 | 3.0 | |
| / 162G | — | MLE | — | 650 | 567 | 125 | 22 | 2 | 13 | 64 | 176 | 12 | 16 | 6 | 220 | 312 | 335 | 647 | 115 | 293 | 27 | 10 | 292 | 84 | -11 | +0 | -3 | +12 | +14 | 1.2 | |
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 A+West Michigan Whitecaps · 173 PAwOBA .343 → .271 (−72)K% 21.4% → 27.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.39% | ÷1.000 | ×1.270 | — | — | 27.16% |
| BB% (unintentional) /PA | 14.45% | ÷1.000 | ×0.710 | — | ×0.978 | 10.03% |
| HBP% /PA | 3.47% | — | ×0.790 | — | ×0.978 | 2.68% |
| Singles /BIP | 25.24% | ÷1.000 | ×0.920 | ×0.961 | ×0.978 | 21.83% |
| Doubles /BIP | 4.85% | ÷1.000 | ×0.810 | ×0.961 | ×0.978 | 3.70% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.850 | ×0.961 | ×0.978 | 0.00% |
| Home runs /BIP | 3.88% | ÷1.000 | ×0.800 | — | ×0.978 | 3.04% |
Factors used: league row Midwest League. 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 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.
Result: wOBA .343 → .271; ISO .121 → .095; BABIP .307 → .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).
2026 AAErie SeaWolves · 74 PAwOBA .525 → .453 (−72)K% 20.3% → 24.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.27% | ÷1.000 | ×1.220 | — | — | 24.73% |
| BB% (unintentional) /PA | 12.16% | ÷1.000 | ×0.700 | — | ×0.998 | 8.50% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.998 | 0.00% |
| Singles /BIP | 25.00% | ÷1.000 | ×0.970 | — | ×0.998 | 24.20% |
| Doubles /BIP | 12.50% | ÷1.000 | ×0.860 | — | ×0.998 | 10.73% |
| Triples /BIP | 2.08% | ÷1.000 | ×0.950 | — | ×0.998 | 1.98% |
| Home runs /BIP | 12.50% | ÷1.000 | ×0.780 | — | ×0.998 | 9.73% |
Factors used: league row EL. 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 .525 → .453; ISO .413 → .344; BABIP .432 → .391. 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+Eugene Emeralds · 230 PAwOBA .335 → .283 (−52)K% 23.0% → 29.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.04% | ÷1.070 | ×1.350 | — | — | 29.07% |
| BB% (unintentional) /PA | 13.48% | ÷0.950 | ×0.710 | — | ×0.988 | 9.95% |
| HBP% /PA | 1.74% | — | ×0.810 | — | ×0.988 | 1.39% |
| Singles /BIP | 28.57% | ÷1.011 | ×0.910 | ×1.004 | ×0.988 | 25.50% |
| Doubles /BIP | 5.26% | ÷1.048 | ×0.830 | ×1.004 | ×0.988 | 4.13% |
| Triples /BIP | 0.00% | ÷0.909 | ×0.820 | ×1.004 | ×0.988 | 0.00% |
| Home runs /BIP | 3.01% | ÷0.980 | ×0.830 | — | ×0.988 | 2.52% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 102, 2B 110, 3B 82, K 114, BB 90 — 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 ×1.004.
Result: wOBA .335 → .283; ISO .102 → .086; BABIP .336 → .293. 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 ASan Jose Giants · 276 PAwOBA .332 → .267 (−66)K% 18.1% → 25.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.12% | ÷0.957 | ×1.360 | — | — | 25.76% |
| BB% (unintentional) /PA | 18.12% | ÷0.966 | ×0.690 | — | ×0.990 | 12.81% |
| HBP% /PA | 3.62% | — | ×0.780 | — | ×0.990 | 2.80% |
| Singles /BIP | 21.21% | ÷0.961 | ×0.920 | ×0.987 | ×0.990 | 19.84% |
| Doubles /BIP | 6.67% | ÷1.012 | ×0.830 | ×0.987 | ×0.990 | 5.34% |
| Triples /BIP | 1.21% | ÷1.000 | ×0.910 | ×0.987 | ×0.990 | 1.08% |
| Home runs /BIP | 0.61% | ÷0.959 | ×0.800 | — | ×0.990 | 0.50% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 92, 2B 102, 3B 100, K 91, BB 93 — 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 ×0.987.
Result: wOBA .332 → .267; ISO .084 → .068; BABIP .291 → .262. 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+Eugene Emeralds · 70 PAwOBA .346 → .260 (−86)K% 30.0% → 41.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.00% | ÷0.968 | ×1.350 | — | — | 41.86% |
| BB% (unintentional) /PA | 10.00% | ÷1.024 | ×0.710 | — | ×0.998 | 6.92% |
| HBP% /PA | 1.43% | — | ×0.810 | — | ×0.998 | 1.15% |
| Singles /BIP | 27.50% | ÷1.016 | ×0.910 | — | ×0.998 | 24.59% |
| Doubles /BIP | 10.00% | ÷0.950 | ×0.830 | — | ×0.998 | 8.72% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.820 | — | ×0.998 | 0.00% |
| Home runs /BIP | 5.00% | ÷1.010 | ×0.830 | — | ×0.998 | 4.10% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 103, 2B 90, 3B 130, K 94, BB 105 — 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 .346 → .260; ISO .164 → .121; BABIP .395 → .347. 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 ASan Jose Giants · 67 PAwOBA .344 → .272 (−72)K% 14.9% → 21.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.93% | ÷0.935 | ×1.360 | — | — | 21.71% |
| BB% (unintentional) /PA | 11.94% | ÷1.011 | ×0.690 | — | — | 8.15% |
| HBP% /PA | 2.99% | — | ×0.780 | — | — | 2.33% |
| Singles /BIP | 29.79% | ÷1.049 | ×0.920 | ×0.993 | — | 25.92% |
| Doubles /BIP | 6.38% | ÷1.005 | ×0.830 | ×0.993 | — | 5.23% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | ×0.993 | — | 0.00% |
| Home runs /BIP | 0.00% | ÷0.890 | ×0.800 | — | — | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 110, 2B 101, 3B 80, K 87, BB 102 — 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 ×0.993.
Result: wOBA .344 → .272; ISO .053 → .042; BABIP .362 → .312. 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).