Clayton Campbell
C West Michigan Whitecaps| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 20 | A/INTL2 orgs | 499 | .223/.313/.323 | 6 | 3 | 50 | — | .161/.238/.220 |
| 2025 | 21 | A/ROKDET | 180 | .205/.326/.298 | 3 | 5 | 32 | — | .144/.242/.200 |
| 2026 | 22 | AA/A+DET | 420 | .262/.345/.401 | 10 | 5 | 66 | — | .218/.283/.326 |
| 2027PROJMLE | 23 | MLBDET | 1 | .178/.246/.270 | 0 | 0 | 49 | -0.0 | |
| 2028PROJ30% MLB | 24 | MLBDET | 110 | .184/.253/.284 | 2 | 1 | 55 | -0.1 | |
| 2029PROJ44% MLB | 25 | MLBDET | 181 | .187/.257/.293 | 4 | 2 | 58 | -0.1 |
Tools · ContractCON 35 / POW 44
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) | |||||||||||||||||||||||||||||||
| 2022 | 18 | ROK | FCL Tigers | — | 129 | 101 | 15 | 5 | 0 | 1 | 21 | 33 | 5 | 0 | 2 | 149 | 323 | 228 | 551 | 79 | 203 | 26 | 16 | 271 | 10 | — | — | — | — | — | — |
| 2022 | 18 | INTL | Auckland Tuatara | — | 125 | 112 | 29 | 4 | 0 | 3 | 6 | 24 | 4 | 0 | 1 | 259 | 320 | 375 | 695 | 116 | 295 | 19 | 5 | 307 | 94 | — | — | — | — | — | — |
| 2023 | 19 | A | Lakeland Flying Tigers | — | 48 | 37 | 7 | 2 | 1 | 1 | 9 | 16 | 1 | 1 | 0 | 189 | 362 | 378 | 740 | 189 | 286 | 33 | 19 | 333 | 50 | — | — | — | — | — | — |
| 2023 | 19 | ROK | FCL Tigers | — | 137 | 109 | 31 | 16 | 0 | 3 | 21 | 30 | 5 | 4 | 0 | 284 | 422 | 514 | 936 | 229 | 359 | 22 | 15 | 409 | 73 | — | — | — | — | — | — |
| 2023 | 19 | INTL | Sydney Blue Sox | — | 85 | 73 | 11 | 1 | 0 | 1 | 10 | 15 | 0 | 0 | 0 | 151 | 253 | 205 | 458 | 55 | 169 | 18 | 12 | 217 | 33 | — | — | — | — | — | — |
| 2024 | 20 | A | Lakeland Flying Tigers | — | 343 | 290 | 57 | 14 | 0 | 4 | 38 | 79 | 7 | 3 | 1 | 197 | 304 | 286 | 590 | 90 | 248 | 23 | 11 | 272 | 26 | — | — | — | — | — | — |
| 2024 | 20 | INTL | Sydney Blue Sox | — | 156 | 141 | 39 | 11 | 0 | 2 | 10 | 24 | 2 | 0 | 1 | 277 | 333 | 397 | 730 | 121 | 314 | 15 | 6 | 322 | 104 | — | — | — | — | — | — |
| 2025 | 21 | A | Lakeland Flying Tigers | — | 76 | 60 | 8 | 3 | 0 | 0 | 14 | 19 | 1 | 1 | 0 | 133 | 307 | 183 | 490 | 50 | 195 | 25 | 18 | 248 | 12 | — | — | — | — | — | — |
| 2025 | 21 | ROK | FCL Tigers | — | 104 | 91 | 23 | 2 | 0 | 3 | 7 | 18 | 5 | 4 | 0 | 253 | 340 | 374 | 713 | 121 | 282 | 17 | 7 | 324 | 47 | — | — | — | — | — | — |
| 2026 | 22 | AA | Erie SeaWolves | — | 42 | 40 | 12 | 1 | 0 | 1 | 1 | 10 | 0 | 1 | 0 | 300 | 317 | 400 | 717 | 100 | 367 | 24 | 2 | 312 | 78 | — | — | — | — | — | — |
| 2026 | 22 | A+ | West Michigan Whitecaps | — | 378 | 327 | 84 | 16 | 2 | 9 | 42 | 100 | 4 | 4 | 1 | 257 | 349 | 401 | 749 | 144 | 336 | 26 | 11 | 334 | 65 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 18 | ROK MLE | FCL Tigers | — | 129 | 109 | 10 | 3 | 0 | 1 | 13 | 49 | 5 | 0 | 2 | 92 | 220 | 147 | 367 | 55 | 153 | 38 | 10 | 183 | 10 | — | — | — | — | — | — |
| 2023 | 19 | A MLE | Lakeland Flying Tigers | — | 48 | 41 | 7 | 2 | 1 | 1 | 5 | 22 | 1 | 1 | 0 | 171 | 277 | 341 | 618 | 171 | 258 | 46 | 10 | 242 | 50 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | FCL Tigers | — | 137 | 117 | 21 | 10 | 0 | 2 | 13 | 44 | 5 | 4 | 0 | 179 | 289 | 316 | 605 | 137 | 257 | 32 | 9 | 276 | 73 | — | — | — | — | — | — |
| 2024 | 20 | A MLE | Lakeland Flying Tigers | — | 343 | 305 | 49 | 9 | 0 | 3 | 24 | 105 | 7 | 3 | 1 | 161 | 238 | 220 | 458 | 59 | 212 | 31 | 7 | 207 | 26 | — | — | — | — | — | — |
| 2025 | 21 | A MLE | Lakeland Flying Tigers | — | 76 | 64 | 6 | 2 | 0 | 0 | 10 | 26 | 1 | 1 | 0 | 94 | 227 | 125 | 352 | 31 | 164 | 34 | 13 | 186 | 12 | — | — | — | — | — | — |
| 2025 | 21 | ROK MLE | FCL Tigers | — | 104 | 94 | 17 | 1 | 0 | 2 | 4 | 26 | 5 | 4 | 0 | 181 | 252 | 255 | 508 | 74 | 223 | 25 | 4 | 238 | 47 | — | — | — | — | — | — |
| 2026 | 22 | AA MLE | Erie SeaWolves | — | 42 | 40 | 12 | 1 | 0 | 1 | 1 | 12 | 0 | 1 | 0 | 300 | 317 | 400 | 717 | 100 | 359 | 29 | 2 | 283 | 78 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | West Michigan Whitecaps | — | 378 | 340 | 71 | 12 | 2 | 7 | 29 | 127 | 4 | 4 | 1 | 209 | 279 | 318 | 596 | 109 | 296 | 34 | 8 | 265 | 65 | — | — | — | — | — | — |
| 2022 | 18 | ROK MLE | 2 teams | — | 254 | 214 | 21 | 7 | 0 | 1 | 26 | 96 | 9 | 0 | 3 | 98 | 225 | 145 | 370 | 47 | 164 | 38 | 10 | 183 | 10 | — | — | — | — | — | — |
| 2022 | 18 | ROK RAW | 2 teams | — | 254 | 213 | 44 | 9 | 0 | 4 | 27 | 57 | 9 | 0 | 3 | 207 | 321 | 305 | 626 | 99 | 255 | 22 | 11 | 289 | 10 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | 3 teams | — | 270 | 232 | 39 | 17 | 1 | 4 | 27 | 97 | 6 | 5 | 0 | 168 | 272 | 302 | 573 | 134 | 257 | 36 | 10 | 267 | 67 | — | — | — | — | — | — |
| 2023 | 19 | ROK RAW | 3 teams | — | 270 | 219 | 49 | 19 | 1 | 5 | 40 | 61 | 6 | 5 | 0 | 224 | 358 | 388 | 747 | 164 | 278 | 23 | 15 | 335 | 67 | — | — | — | — | — | — |
| 2024 | 20 | A MLE | 2 teams | — | 499 | 446 | 70 | 13 | 0 | 4 | 34 | 152 | 9 | 3 | 2 | 157 | 231 | 213 | 444 | 56 | 220 | 30 | 7 | 207 | 26 | — | — | — | — | — | — |
| 2024 | 20 | A RAW | 2 teams | — | 499 | 431 | 96 | 25 | 0 | 6 | 48 | 103 | 9 | 3 | 2 | 223 | 313 | 323 | 635 | 100 | 271 | 21 | 10 | 288 | 26 | — | — | — | — | — | — |
| 2025 | 21 | ROK MLE | 2 teams | — | 180 | 157 | 24 | 4 | 0 | 2 | 15 | 52 | 6 | 5 | 0 | 153 | 253 | 217 | 469 | 64 | 212 | 29 | 8 | 216 | 32 | — | — | — | — | — | — |
| 2025 | 21 | ROK RAW | 2 teams | — | 180 | 151 | 31 | 5 | 0 | 3 | 21 | 37 | 6 | 5 | 0 | 205 | 326 | 298 | 624 | 93 | 250 | 21 | 12 | 292 | 32 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | 2 teams | — | 420 | 380 | 83 | 13 | 2 | 8 | 30 | 139 | 4 | 5 | 1 | 218 | 283 | 326 | 609 | 108 | 314 | 33 | 7 | 267 | 67 | — | — | — | — | — | — |
| 2026 | 22 | A+ RAW | 2 teams | — | 420 | 367 | 96 | 17 | 2 | 10 | 43 | 110 | 4 | 5 | 1 | 262 | 345 | 401 | 746 | 139 | 340 | 26 | 10 | 332 | 67 | — | — | — | — | — | — |
| 2022 | 18 | ROK MLE | 2 teams | — | 254 | 217 | 21 | 7 | 0 | 1 | 26 | 96 | 9 | 0 | 3 | 97 | 225 | 143 | 368 | 46 | 153 | 38 | 10 | 183 | 10 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | 3 teams | — | 270 | 235 | 39 | 17 | 1 | 4 | 27 | 97 | 6 | 5 | 0 | 166 | 272 | 298 | 570 | 132 | 257 | 36 | 10 | 267 | 67 | — | — | — | — | — | — |
| 2024 | 20 | A MLE | 2 teams | — | 499 | 453 | 70 | 13 | 0 | 4 | 34 | 152 | 9 | 3 | 2 | 155 | 231 | 210 | 441 | 55 | 212 | 30 | 7 | 207 | 26 | — | — | — | — | — | — |
| 2025 | 21 | ROK MLE | 2 teams | — | 180 | 157 | 24 | 4 | 0 | 2 | 15 | 52 | 6 | 5 | 0 | 153 | 253 | 217 | 469 | 64 | 198 | 29 | 8 | 216 | 32 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | 2 teams | — | 420 | 383 | 83 | 13 | 2 | 8 | 30 | 139 | 4 | 5 | 1 | 217 | 283 | 324 | 606 | 107 | 302 | 33 | 7 | 267 | 67 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 20 | A MLE | 2 teams | — | 499 | 453 | 70 | 13 | 0 | 4 | 34 | 152 | 9 | 3 | 2 | 155 | 231 | 210 | 441 | 55 | 212 | 30 | 7 | 207 | 26 | — | — | — | — | — | — |
| 2025 | 21 | ROK MLE | 2 teams | — | 180 | 157 | 24 | 4 | 0 | 2 | 15 | 52 | 6 | 5 | 0 | 153 | 253 | 217 | 469 | 64 | 198 | 29 | 8 | 216 | 32 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | 2 teams | — | 420 | 383 | 83 | 13 | 2 | 8 | 30 | 139 | 4 | 5 | 1 | 217 | 283 | 324 | 606 | 107 | 302 | 33 | 7 | 267 | 67 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 23 | MLB MLE | DET | 0% | 508 | 461 | 85 | 15 | 2 | 9 | 37 | 157 | 5 | 5 | 1 | 181 | 249 | 276 | 525 | 95 | 250 | 31 | 7 | 240 | 49 | -31 | +1 | +0 | +9 | +11 | -0.3 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 23 | MLB CTX | DET | 0% | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 178 | 246 | 270 | 516 | 91 | 246 | 0 | 0 | 237 | 49 | -0 | +0 | +0 | +0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 24 | MLB MLE | DET | 30% | 364 | 331 | 62 | 11 | 1 | 7 | 27 | 110 | 3 | 4 | 1 | 187 | 256 | 290 | 546 | 103 | 253 | 30 | 7 | 249 | 55 | -20 | +0 | +0 | +7 | +8 | -0.5 |
| 2029 | 25 | MLB MLE | DET | 44% | 408 | 370 | 69 | 12 | 1 | 8 | 31 | 121 | 4 | 4 | 1 | 191 | 260 | 300 | 560 | 109 | 255 | 30 | 8 | 254 | 58 | -20 | +0 | +0 | +7 | +9 | -0.4 |
| 2030 | 26 | MLB MLE | DET | 51% | 430 | 390 | 75 | 13 | 1 | 9 | 33 | 126 | 4 | 4 | 1 | 193 | 263 | 305 | 568 | 112 | 257 | 29 | 8 | 258 | 61 | -20 | +0 | +0 | +8 | +9 | -0.3 |
| 2031 | 27 | MLB MLE | DET | 52% | 437 | 396 | 77 | 14 | 1 | 9 | 34 | 127 | 4 | 4 | 1 | 195 | 265 | 307 | 573 | 113 | 258 | 29 | 8 | 260 | 62 | -20 | +0 | +0 | +8 | +9 | -0.2 |
| 2032 | 28 | MLB MLE | DET | 53% | 436 | 395 | 77 | 14 | 1 | 9 | 34 | 127 | 4 | 3 | 1 | 196 | 266 | 308 | 574 | 112 | 259 | 29 | 8 | 260 | 62 | -20 | +0 | -1 | +8 | +9 | -0.3 |
| 2033 | 29 | MLB MLE | DET | 53% | 426 | 386 | 74 | 13 | 1 | 9 | 33 | 125 | 4 | 1 | 1 | 193 | 263 | 302 | 565 | 108 | 258 | 29 | 8 | 257 | 60 | -20 | -0 | -1 | +8 | +9 | -0.5 |
| 2028 | 24 | MLB CTX | DET | 30% | 110 | 100 | 18 | 3 | 0 | 2 | 8 | 33 | 1 | 1 | 0 | 184 | 253 | 284 | 536 | 100 | 249 | 30 | 7 | 245 | 55 | -6 | +0 | +0 | +2 | +2 | -0.1 |
| 2029 | 25 | MLB CTX | DET | 44% | 181 | 163 | 31 | 5 | 1 | 4 | 14 | 54 | 2 | 2 | 0 | 187 | 257 | 293 | 550 | 105 | 251 | 30 | 8 | 250 | 58 | -9 | +0 | +0 | +3 | +4 | -0.1 |
| 2030 | 26 | MLB CTX | DET | 51% | 218 | 197 | 38 | 7 | 1 | 4 | 17 | 64 | 2 | 2 | 0 | 190 | 260 | 298 | 558 | 108 | 253 | 29 | 8 | 254 | 61 | -10 | +0 | +0 | +4 | +5 | -0.1 |
| 2031 | 27 | MLB CTX | DET | 52% | 229 | 207 | 40 | 7 | 1 | 5 | 18 | 67 | 2 | 2 | 0 | 191 | 262 | 300 | 562 | 109 | 254 | 29 | 8 | 256 | 62 | -10 | +0 | +0 | +4 | +5 | -0.1 |
| 2032 | 28 | MLB CTX | DET | 53% | 232 | 210 | 41 | 7 | 1 | 5 | 18 | 67 | 2 | 1 | 0 | 192 | 263 | 300 | 563 | 108 | 255 | 29 | 8 | 256 | 62 | -10 | +0 | -0 | +4 | +5 | -0.1 |
| 2033 | 29 | MLB CTX | DET | 53% | 224 | 203 | 39 | 7 | 1 | 4 | 17 | 66 | 2 | 1 | 0 | 190 | 260 | 294 | 554 | 105 | 253 | 29 | 8 | 252 | 60 | -11 | +0 | -1 | +4 | +5 | -0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1194 | 1080 | 207 | 36 | 5 | 24 | 92 | 351 | 11 | 9 | 0 | 192 | 262 | 301 | 563 | 109 | 257 | 29 | 8 | 253 | 52 | -57 | +2 | -1 | +21 | +26 | -0.9 | |
| / 162G | — | A+C | — | 650 | 588 | 113 | 20 | 3 | 13 | 50 | 191 | 6 | 5 | 0 | 192 | 262 | 303 | 565 | 111 | 258 | 29 | 8 | 253 | 52 | -31 | +1 | -1 | +12 | +14 | -0.5 | |
| Career | — | MLE | — | 4334 | 3888 | 706 | 137 | 10 | 74 | 339 | 1337 | 59 | 40 | 12 | 182 | 258 | 279 | 537 | 97 | 251 | 31 | 8 | 246 | 52 | -133 | +2 | -2 | +48 | +59 | -2.6 | |
| / 162G | — | MLE | — | 650 | 583 | 106 | 21 | 1 | 11 | 51 | 201 | 9 | 6 | 2 | 182 | 258 | 278 | 536 | 96 | 252 | 31 | 8 | 246 | 52 | -32 | +0 | -1 | +12 | +14 | -0.6 | |
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 · 378 PAwOBA .329 → .265 (−65)K% 26.5% → 33.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.46% | ÷1.000 | ×1.270 | — | — | 33.60% |
| BB% (unintentional) /PA | 10.85% | ÷1.000 | ×0.710 | — | ×0.998 | 7.69% |
| HBP% /PA | 1.06% | — | ×0.790 | — | ×0.998 | 0.83% |
| Singles /BIP | 25.11% | ÷1.000 | ×0.920 | ×0.996 | ×0.998 | 22.96% |
| Doubles /BIP | 7.05% | ÷1.000 | ×0.810 | ×0.996 | ×0.998 | 5.67% |
| Triples /BIP | 0.88% | ÷1.000 | ×0.850 | ×0.996 | ×0.998 | 0.74% |
| Home runs /BIP | 3.96% | ÷1.000 | ×0.800 | — | ×0.998 | 3.17% |
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 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 ×0.996.
Result: wOBA .329 → .265; ISO .144 → .111; BABIP .336 → .296. 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 · 42 PAwOBA .311 → .283 (−27)K% 23.8% → 29.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.81% | ÷1.000 | ×1.220 | — | — | 29.05% |
| BB% (unintentional) /PA | 2.38% | ÷1.000 | ×0.700 | — | ×1.027 | 1.71% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×1.027 | 0.00% |
| Singles /BIP | 33.33% | ÷1.000 | ×0.970 | — | ×1.027 | 33.21% |
| Doubles /BIP | 3.33% | ÷1.000 | ×0.860 | — | ×1.027 | 2.94% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.950 | — | ×1.027 | 0.00% |
| Home runs /BIP | 3.33% | ÷1.000 | ×0.780 | — | ×1.027 | 2.67% |
Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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).
Result: wOBA .311 → .283; ISO .100 → .080; BABIP .367 → .359. 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 ROKFCL Tigers · 104 PAwOBA .318 → .238 (−80)K% 17.3% → 24.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.31% | ÷1.001 | ×1.440 | — | — | 24.89% |
| BB% (unintentional) /PA | 6.73% | ÷0.996 | ×0.620 | — | ×0.975 | 4.09% |
| HBP% /PA | 4.81% | — | ×0.720 | — | ×0.975 | 3.38% |
| Singles /BIP | 24.66% | ÷0.974 | ×0.820 | ×0.986 | ×0.975 | 19.96% |
| Doubles /BIP | 2.74% | ÷0.992 | ×0.720 | ×0.986 | ×0.975 | 1.91% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.720 | ×0.986 | ×0.975 | 0.00% |
| Home runs /BIP | 4.11% | ÷0.880 | ×0.780 | — | ×0.975 | 3.55% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 95, 2B 98, 3B 80, K 100, BB 99 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.
Result: wOBA .318 → .238; ISO .121 → .097; BABIP .282 → .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).
2025 ALakeland Flying Tigers · 76 PAwOBA .244 → .186 (−58)K% 25.0% → 34.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷0.998 | ×1.360 | — | — | 34.05% |
| BB% (unintentional) /PA | 18.42% | ÷0.945 | ×0.690 | — | — | 13.45% |
| HBP% /PA | 1.32% | — | ×0.780 | — | — | 1.03% |
| Singles /BIP | 12.20% | ÷1.051 | ×0.920 | ×0.967 | — | 10.32% |
| Doubles /BIP | 7.32% | ÷0.971 | ×0.830 | ×0.967 | — | 6.04% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | ×0.967 | — | 0.00% |
| Home runs /BIP | 0.00% | ÷0.864 | ×0.800 | — | — | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 110, 2B 94, 3B 130, K 100, BB 89 — 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 ×0.967.
Result: wOBA .244 → .186; ISO .050 → .039; BABIP .195 → .164. 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 ALakeland Flying Tigers · 343 PAwOBA .268 → .207 (−61)K% 23.0% → 30.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.03% | ÷1.028 | ×1.360 | — | — | 30.47% |
| BB% (unintentional) /PA | 10.50% | ÷1.061 | ×0.690 | — | ×1.015 | 6.93% |
| HBP% /PA | 2.04% | — | ×0.780 | — | ×1.015 | 1.62% |
| Singles /BIP | 18.48% | ÷0.980 | ×0.920 | ×0.994 | ×1.015 | 17.51% |
| Doubles /BIP | 6.64% | ÷1.351 | ×0.830 | ×0.994 | ×1.015 | 4.11% |
| Triples /BIP | 0.00% | ÷1.106 | ×0.910 | ×0.994 | ×1.015 | 0.00% |
| Home runs /BIP | 1.90% | ÷1.099 | ×0.800 | — | ×1.015 | 1.40% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 96, 2B 170, 3B 121, K 106, BB 112 — 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 ×0.994.
Result: wOBA .268 → .207; ISO .090 → .060; BABIP .248 → .212. 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 ROKFCL Tigers · 137 PAwOBA .404 → .276 (−128)K% 21.9% → 32.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.90% | ÷0.972 | ×1.440 | — | — | 32.44% |
| BB% (unintentional) /PA | 15.33% | ÷0.987 | ×0.620 | — | ×0.995 | 9.58% |
| HBP% /PA | 3.65% | — | ×0.720 | — | ×0.995 | 2.61% |
| Singles /BIP | 15.19% | ÷0.987 | ×0.820 | ×0.950 | ×0.995 | 11.93% |
| Doubles /BIP | 20.25% | ÷1.014 | ×0.720 | ×0.950 | ×0.995 | 13.59% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | ×0.950 | ×0.995 | 0.00% |
| Home runs /BIP | 3.80% | ÷0.924 | ×0.780 | — | ×0.995 | 3.19% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 97, 2B 103, 3B 130, K 94, BB 97 — 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 ×0.950.
Result: wOBA .404 → .276; ISO .229 → .161; BABIP .359 → .257. 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 ALakeland Flying Tigers · 48 PAwOBA .325 → .242 (−83)K% 33.3% → 46.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷0.975 | ×1.360 | — | — | 46.48% |
| BB% (unintentional) /PA | 16.67% | ÷1.089 | ×0.690 | — | ×1.030 | 10.88% |
| HBP% /PA | 2.08% | — | ×0.780 | — | ×1.030 | 1.67% |
| Singles /BIP | 14.29% | ÷0.957 | ×0.920 | — | ×1.030 | 14.15% |
| Doubles /BIP | 9.52% | ÷1.056 | ×0.830 | — | ×1.030 | 7.71% |
| Triples /BIP | 4.76% | ÷1.020 | ×0.910 | — | ×1.030 | 4.38% |
| Home runs /BIP | 4.76% | ÷1.216 | ×0.800 | — | ×1.030 | 3.23% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 91, 2B 111, 3B 104, K 95, BB 118 — 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).
Result: wOBA .325 → .242; ISO .189 → .139; BABIP .286 → .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).
2022 ROKFCL Tigers · 129 PAwOBA .270 → .183 (−87)K% 25.6% → 37.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.58% | ÷0.973 | ×1.440 | — | — | 37.86% |
| BB% (unintentional) /PA | 16.28% | ÷0.978 | ×0.620 | — | ×1.008 | 10.40% |
| HBP% /PA | 3.88% | — | ×0.720 | — | ×1.008 | 2.81% |
| Singles /BIP | 13.24% | ÷1.018 | ×0.820 | ×0.950 | ×1.008 | 10.20% |
| Doubles /BIP | 7.35% | ÷0.941 | ×0.720 | ×0.950 | ×1.008 | 5.38% |
| Triples /BIP | 0.00% | ÷0.990 | ×0.720 | ×0.950 | ×1.008 | 0.00% |
| Home runs /BIP | 1.47% | ÷0.990 | ×0.780 | — | ×1.008 | 1.17% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 104, 2B 88, 3B 98, K 95, BB 96 — 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 ×0.950.
Result: wOBA .270 → .183; ISO .079 → .056; BABIP .203 → .153. 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 — .