Jake Gelof
3B Tulsa Drillers| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 22 | A+/A/INTL3 orgs | 534 | .209/.330/.358 | 12 | 21 | 56 | — | .167/.255/.275 |
| 2025 | 23 | A+/ROKLAD | 385 | .230/.332/.473 | 17 | 11 | 64 | — | .174/.248/.351 |
| 2026 | 24 | AALAD | 522 | .271/.393/.565 | 34 | 10 | 109 | — | .220/.313/.449 |
| 2027PROJMLE | 25 | MLBLAD | 4 | .206/.289/.402 | 0 | 0 | 93 | 0.0 | |
| 2028PROJ39% MLB | 26 | MLBLAD | 173 | .207/.291/.402 | 8 | 3 | 94 | 0.3 | |
| 2029PROJ53% MLB | 27 | MLBLAD | 243 | .208/.291/.399 | 10 | 4 | 94 | 0.5 |
Tools · ContractCON 35 / POW 55
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) | |||||||||||||||||||||||||||||||
| 2023 | 21 | A | Rancho Cucamonga Quakes | — | 137 | 120 | 27 | 8 | 1 | 5 | 16 | 41 | 0 | 2 | 1 | 225 | 316 | 433 | 750 | 208 | 293 | 30 | 12 | 330 | 47 | — | — | — | — | — | — |
| 2023 | 21 | ROK | ACL Dodgers | — | 17 | 13 | 3 | 1 | 1 | 1 | 4 | 5 | 0 | 2 | 0 | 231 | 412 | 692 | 1.104 | 462 | 286 | 29 | 24 | 457 | 83 | — | — | — | — | — | — |
| 2024 | 22 | A+ | Great Lakes Loons | — | 346 | 296 | 55 | 16 | 0 | 8 | 39 | 72 | 2 | 17 | 4 | 186 | 285 | 321 | 606 | 135 | 209 | 21 | 11 | 271 | 32 | — | — | — | — | — | — |
| 2024 | 22 | A | Rancho Cucamonga Quakes | — | 117 | 87 | 27 | 4 | 3 | 2 | 27 | 31 | 0 | 3 | 0 | 310 | 474 | 494 | 968 | 184 | 439 | 26 | 23 | 421 | 105 | — | — | — | — | — | — |
| 2024 | 22 | INTL | Glendale Desert Dogs | — | 71 | 58 | 10 | 2 | 1 | 2 | 11 | 20 | 1 | 1 | 0 | 172 | 314 | 345 | 659 | 172 | 216 | 28 | 15 | 300 | 89 | — | — | — | — | — | — |
| 2025 | 23 | A+ | Great Lakes Loons | — | 362 | 313 | 70 | 24 | 0 | 16 | 44 | 96 | 1 | 11 | 7 | 224 | 321 | 454 | 775 | 230 | 263 | 27 | 12 | 339 | 61 | — | — | — | — | — | — |
| 2025 | 23 | ROK | ACL Dodgers | — | 23 | 17 | 6 | 5 | 0 | 1 | 5 | 6 | 0 | 0 | 2 | 353 | 500 | 824 | 1.324 | 471 | 455 | 26 | 22 | 521 | 114 | — | — | — | — | — | — |
| 2026 | 24 | AA | Tulsa Drillers | — | 522 | 425 | 115 | 23 | 0 | 34 | 84 | 141 | 2 | 10 | 1 | 271 | 393 | 565 | 958 | 294 | 310 | 27 | 16 | 408 | 109 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 21 | A MLE | Rancho Cucamonga Quakes | — | 137 | 124 | 20 | 6 | 1 | 3 | 12 | 57 | 0 | 2 | 1 | 161 | 235 | 298 | 534 | 137 | 256 | 42 | 9 | 237 | 47 | — | — | — | — | — | — |
| 2023 | 21 | ROK MLE | ACL Dodgers | — | 17 | 15 | 3 | 1 | 1 | 1 | 2 | 7 | 0 | 2 | 0 | 200 | 294 | 600 | 894 | 400 | 195 | 41 | 12 | 291 | 83 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | Great Lakes Loons | — | 346 | 308 | 46 | 13 | 0 | 6 | 27 | 92 | 2 | 17 | 4 | 149 | 223 | 250 | 473 | 101 | 178 | 27 | 8 | 216 | 32 | — | — | — | — | — | — |
| 2024 | 22 | A MLE | Rancho Cucamonga Quakes | — | 117 | 95 | 21 | 3 | 3 | 1 | 19 | 44 | 0 | 3 | 0 | 221 | 351 | 347 | 698 | 126 | 357 | 38 | 16 | 323 | 105 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | Great Lakes Loons | — | 362 | 327 | 56 | 19 | 0 | 12 | 30 | 125 | 1 | 11 | 7 | 171 | 243 | 339 | 582 | 168 | 225 | 35 | 8 | 258 | 61 | — | — | — | — | — | — |
| 2025 | 23 | ROK MLE | ACL Dodgers | — | 23 | 19 | 4 | 3 | 0 | 1 | 3 | 9 | 0 | 0 | 2 | 211 | 318 | 526 | 844 | 316 | 278 | 39 | 13 | 337 | 114 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Tulsa Drillers | — | 522 | 450 | 99 | 19 | 0 | 28 | 59 | 172 | 2 | 10 | 1 | 220 | 313 | 449 | 762 | 229 | 261 | 33 | 11 | 329 | 109 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | 2 teams | — | 154 | 139 | 22 | 6 | 2 | 4 | 14 | 64 | 0 | 4 | 1 | 158 | 235 | 317 | 552 | 158 | 250 | 42 | 9 | 243 | 51 | — | — | — | — | — | — |
| 2023 | 21 | A RAW | 2 teams | — | 154 | 133 | 30 | 9 | 2 | 6 | 20 | 46 | 0 | 4 | 1 | 226 | 327 | 459 | 785 | 233 | 293 | 30 | 13 | 344 | 51 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | 3 teams | — | 534 | 465 | 79 | 19 | 3 | 9 | 53 | 157 | 3 | 21 | 4 | 170 | 259 | 282 | 541 | 112 | 224 | 29 | 10 | 243 | 51 | — | — | — | — | — | — |
| 2024 | 22 | A+ RAW | 3 teams | — | 534 | 441 | 92 | 22 | 4 | 12 | 77 | 123 | 3 | 21 | 4 | 209 | 330 | 358 | 688 | 150 | 251 | 23 | 14 | 308 | 51 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | 2 teams | — | 385 | 346 | 61 | 23 | 0 | 13 | 33 | 133 | 1 | 11 | 9 | 176 | 250 | 355 | 605 | 179 | 234 | 35 | 9 | 263 | 64 | — | — | — | — | — | — |
| 2025 | 23 | A+ RAW | 2 teams | — | 385 | 330 | 76 | 29 | 0 | 17 | 49 | 102 | 1 | 11 | 9 | 230 | 332 | 473 | 804 | 242 | 273 | 26 | 13 | 350 | 64 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Tulsa Drillers | — | 522 | 450 | 99 | 19 | 0 | 28 | 59 | 172 | 2 | 10 | 1 | 220 | 313 | 449 | 762 | 229 | 272 | 33 | 11 | 329 | 109 | — | — | — | — | — | — |
| 2026 | 24 | AA RAW | Tulsa Drillers | — | 522 | 425 | 115 | 23 | 0 | 34 | 84 | 141 | 2 | 10 | 1 | 271 | 393 | 565 | 958 | 294 | 310 | 27 | 16 | 408 | 109 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | 2 teams | — | 154 | 139 | 22 | 6 | 2 | 4 | 14 | 64 | 0 | 4 | 1 | 158 | 235 | 317 | 552 | 158 | 249 | 42 | 9 | 243 | 51 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | 3 teams | — | 534 | 473 | 79 | 19 | 3 | 9 | 53 | 157 | 3 | 21 | 4 | 167 | 259 | 277 | 536 | 110 | 223 | 29 | 10 | 243 | 51 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | 2 teams | — | 385 | 348 | 61 | 23 | 0 | 13 | 33 | 133 | 1 | 11 | 9 | 175 | 250 | 353 | 603 | 178 | 228 | 35 | 9 | 263 | 64 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Tulsa Drillers | — | 522 | 456 | 99 | 19 | 0 | 28 | 59 | 172 | 2 | 10 | 1 | 217 | 313 | 443 | 756 | 226 | 261 | 33 | 11 | 329 | 109 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | A+ MLE | 3 teams | — | 534 | 473 | 79 | 19 | 3 | 9 | 53 | 157 | 3 | 21 | 4 | 167 | 259 | 277 | 536 | 110 | 223 | 29 | 10 | 243 | 51 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | 2 teams | — | 385 | 348 | 61 | 23 | 0 | 13 | 33 | 133 | 1 | 11 | 9 | 175 | 250 | 353 | 603 | 178 | 228 | 35 | 9 | 263 | 64 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Tulsa Drillers | — | 522 | 456 | 99 | 19 | 0 | 28 | 59 | 172 | 2 | 10 | 1 | 217 | 313 | 443 | 756 | 226 | 261 | 33 | 11 | 329 | 109 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | LAD | 2% | 380 | 338 | 71 | 16 | 1 | 16 | 38 | 119 | 1 | 7 | 2 | 208 | 291 | 401 | 692 | 193 | 263 | 31 | 10 | 306 | 93 | -3 | +1 | +0 | +1 | +8 | 0.5 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB CTX | LAD | 2% | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 206 | 289 | 402 | 691 | 196 | 258 | 25 | 0 | 306 | 93 | -0 | +0 | +0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | LAD | 39% | 447 | 397 | 84 | 19 | 1 | 19 | 45 | 138 | 2 | 8 | 2 | 209 | 292 | 401 | 693 | 192 | 264 | 31 | 10 | 307 | 94 | -3 | +1 | +0 | +2 | +10 | 0.9 |
| 2029 | 27 | MLB MLE | LAD | 53% | 463 | 412 | 87 | 19 | 1 | 19 | 46 | 142 | 2 | 8 | 2 | 210 | 293 | 399 | 691 | 188 | 265 | 31 | 10 | 306 | 94 | -4 | +1 | +0 | +2 | +10 | 0.9 |
| 2030 | 28 | MLB MLE | LAD | 60% | 469 | 418 | 88 | 19 | 1 | 19 | 46 | 143 | 2 | 7 | 2 | 210 | 292 | 394 | 686 | 184 | 266 | 30 | 10 | 305 | 92 | -4 | +1 | -1 | +2 | +10 | 0.8 |
| 2031 | 29 | MLB MLE | LAD | 62% | 468 | 417 | 87 | 19 | 1 | 18 | 46 | 142 | 2 | 6 | 2 | 209 | 290 | 388 | 679 | 179 | 265 | 30 | 10 | 302 | 90 | -5 | +0 | -1 | +2 | +10 | 0.6 |
| 2032 | 30 | MLB MLE | LAD | 63% | 294 | 263 | 54 | 12 | 0 | 11 | 28 | 89 | 1 | 3 | 1 | 208 | 288 | 381 | 669 | 173 | 264 | 30 | 10 | 298 | 88 | -4 | +0 | -2 | +1 | +6 | 0.1 |
| 2028 | 26 | MLB CTX | LAD | 39% | 173 | 153 | 32 | 7 | 0 | 8 | 17 | 53 | 1 | 3 | 1 | 207 | 291 | 402 | 693 | 194 | 259 | 31 | 10 | 307 | 94 | -1 | +0 | +0 | +1 | +4 | 0.3 |
| 2029 | 27 | MLB CTX | LAD | 53% | 243 | 216 | 45 | 10 | 0 | 10 | 24 | 74 | 1 | 4 | 1 | 208 | 291 | 399 | 690 | 191 | 260 | 30 | 10 | 306 | 94 | -2 | +0 | +0 | +1 | +5 | 0.5 |
| 2030 | 28 | MLB CTX | LAD | 60% | 281 | 250 | 52 | 11 | 0 | 12 | 28 | 85 | 1 | 4 | 1 | 208 | 290 | 395 | 685 | 187 | 260 | 30 | 10 | 304 | 92 | -3 | +0 | -0 | +1 | +6 | 0.5 |
| 2031 | 29 | MLB CTX | LAD | 62% | 289 | 258 | 53 | 11 | 0 | 12 | 28 | 88 | 1 | 3 | 1 | 207 | 289 | 389 | 677 | 182 | 260 | 30 | 10 | 301 | 90 | -3 | +0 | -1 | +1 | +6 | 0.3 |
| 2032 | 30 | MLB CTX | LAD | 63% | 185 | 164 | 33 | 7 | 0 | 7 | 18 | 56 | 1 | 2 | 1 | 206 | 286 | 381 | 668 | 176 | 259 | 30 | 10 | 297 | 88 | -3 | +0 | -1 | +1 | +4 | 0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1171 | 1041 | 215 | 46 | 0 | 49 | 115 | 356 | 5 | 16 | 5 | 207 | 289 | 392 | 680 | 185 | 259 | 30 | 10 | 303 | 84 | -12 | +1 | -3 | +4 | +25 | 1.7 | |
| / 162G | — | A+C | — | 650 | 578 | 120 | 26 | 0 | 27 | 64 | 198 | 3 | 9 | 3 | 208 | 290 | 393 | 683 | 185 | 261 | 30 | 10 | 303 | 84 | -7 | +1 | -1 | +2 | +14 | 0.9 | |
| Career | — | MLE | — | 3946 | 3493 | 700 | 164 | 9 | 149 | 391 | 1246 | 16 | 82 | 25 | 200 | 284 | 380 | 664 | 180 | 258 | 32 | 10 | 293 | 84 | -22 | +3 | -4 | +8 | +51 | 3.7 | |
| / 162G | — | MLE | — | 650 | 575 | 115 | 27 | 1 | 25 | 64 | 205 | 3 | 14 | 4 | 200 | 283 | 381 | 664 | 181 | 256 | 32 | 10 | 293 | 84 | -6 | +1 | -1 | +2 | +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 · 522 PAwOBA .405 → .329 (−76)K% 27.0% → 33.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.01% | ÷1.000 | ×1.220 | — | — | 32.95% |
| BB% (unintentional) /PA | 15.90% | ÷1.000 | ×0.700 | — | ×1.012 | 11.26% |
| HBP% /PA | 0.38% | — | ×0.870 | — | ×1.012 | 0.34% |
| Singles /BIP | 20.42% | ÷1.000 | ×0.920 | ×0.950 | ×1.012 | 18.06% |
| Doubles /BIP | 8.10% | ÷1.000 | ×0.840 | ×0.950 | ×1.012 | 6.54% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.940 | ×0.950 | ×1.012 | 0.00% |
| Home runs /BIP | 11.97% | ÷1.000 | ×0.800 | — | ×1.012 | 9.69% |
Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 .405 → .329; ISO .294 → .243; BABIP .310 → .261. 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 · 362 PAwOBA .334 → .258 (−75)K% 26.5% → 34.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.52% | ÷0.980 | ×1.270 | — | — | 34.36% |
| BB% (unintentional) /PA | 12.15% | ÷1.023 | ×0.710 | — | ×0.998 | 8.42% |
| HBP% /PA | 0.28% | — | ×0.790 | — | ×0.998 | 0.22% |
| Singles /BIP | 13.82% | ÷1.000 | ×0.920 | ×0.968 | ×0.998 | 12.29% |
| Doubles /BIP | 11.06% | ÷0.927 | ×0.810 | ×0.968 | ×0.998 | 9.34% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.850 | ×0.968 | ×0.998 | 0.00% |
| Home runs /BIP | 7.37% | ÷0.992 | ×0.800 | — | ×0.998 | 5.93% |
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 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 ×0.968.
Result: wOBA .334 → .258; ISO .230 → .179; BABIP .263 → .225. 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 ROKACL Dodgers · 23 PAwOBA .531 → .337 (−194)K% 26.1% → 37.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.09% | ÷0.993 | ×1.440 | — | — | 37.84% |
| BB% (unintentional) /PA | 21.74% | ÷0.997 | ×0.620 | — | ×0.965 | 13.04% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.965 | 0.00% |
| Singles /BIP | 0.00% | ÷0.996 | ×0.820 | — | ×0.965 | 0.00% |
| Doubles /BIP | 45.45% | ÷1.102 | ×0.720 | — | ×0.965 | 28.66% |
| Triples /BIP | 0.00% | ÷1.060 | ×0.720 | — | ×0.965 | 0.00% |
| Home runs /BIP | 9.09% | ÷1.187 | ×0.780 | — | ×0.965 | 5.76% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 99, 2B 120, 3B 112, K 99, BB 99 — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).
Result: wOBA .531 → .337; ISO .471 → .305; BABIP .455 → .278. 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 · 346 PAwOBA .272 → .216 (−55)K% 20.8% → 26.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.81% | ÷0.990 | ×1.270 | — | — | 26.70% |
| BB% (unintentional) /PA | 11.27% | ÷1.037 | ×0.710 | — | ×1.012 | 7.81% |
| HBP% /PA | 0.58% | — | ×0.790 | — | ×1.012 | 0.46% |
| Singles /BIP | 13.84% | ÷1.004 | ×0.920 | ×0.950 | ×1.012 | 12.20% |
| Doubles /BIP | 7.14% | ÷0.950 | ×0.810 | ×0.950 | ×1.012 | 5.86% |
| Triples /BIP | 0.00% | ÷0.948 | ×0.850 | ×0.950 | ×1.012 | 0.00% |
| Home runs /BIP | 3.57% | ÷1.036 | ×0.800 | — | ×1.012 | 2.79% |
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 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 ×0.950.
Result: wOBA .272 → .216; ISO .135 → .108; BABIP .209 → .178. 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 ARancho Cucamonga Quakes · 117 PAwOBA .420 → .323 (−97)K% 26.5% → 37.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.50% | ÷0.964 | ×1.360 | — | — | 37.37% |
| BB% (unintentional) /PA | 22.22% | ÷0.943 | ×0.690 | — | — | 16.26% |
| HBP% /PA | 0.00% | — | ×0.780 | — | — | 0.00% |
| Singles /BIP | 32.14% | ÷1.072 | ×0.920 | ×0.950 | — | 26.21% |
| Doubles /BIP | 7.14% | ÷0.973 | ×0.830 | ×0.950 | — | 5.79% |
| Triples /BIP | 5.36% | ÷0.973 | ×0.910 | ×0.950 | — | 4.76% |
| Home runs /BIP | 3.57% | ÷1.072 | ×0.800 | — | — | 2.67% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 114, 2B 95, 3B 95, K 93, 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 ×0.950.
Result: wOBA .420 → .323; ISO .184 → .145; BABIP .439 → .357. 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 ARancho Cucamonga Quakes · 137 PAwOBA .324 → .237 (−87)K% 29.9% → 41.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.93% | ÷0.973 | ×1.360 | — | — | 41.83% |
| BB% (unintentional) /PA | 11.68% | ÷0.976 | ×0.690 | — | ×1.015 | 8.38% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.015 | 0.00% |
| Singles /BIP | 16.46% | ÷0.955 | ×0.920 | ×0.950 | ×1.015 | 15.29% |
| Doubles /BIP | 10.13% | ÷0.990 | ×0.830 | ×0.950 | ×1.015 | 8.18% |
| Triples /BIP | 1.27% | ÷0.900 | ×0.910 | ×0.950 | ×1.015 | 1.23% |
| Home runs /BIP | 6.33% | ÷1.025 | ×0.800 | — | ×1.015 | 5.02% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 91, 2B 98, 3B 80, K 95, BB 95 — 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 ×0.950.
Result: wOBA .324 → .237; ISO .208 → .146; BABIP .293 → .256. 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 ROKACL Dodgers · 17 PAwOBA .446 → .291 (−155)K% 29.4% → 42.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.41% | ÷1.005 | ×1.440 | — | — | 42.16% |
| BB% (unintentional) /PA | 23.53% | ÷0.992 | ×0.620 | — | ×0.985 | 14.49% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.985 | 0.00% |
| Singles /BIP | 0.00% | ÷0.965 | ×0.820 | — | ×0.985 | 0.00% |
| Doubles /BIP | 12.50% | ÷1.032 | ×0.720 | — | ×0.985 | 8.59% |
| Triples /BIP | 12.50% | ÷0.980 | ×0.720 | — | ×0.985 | 9.04% |
| Home runs /BIP | 12.50% | ÷1.005 | ×0.780 | — | ×0.985 | 9.56% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 93, 2B 106, 3B 96, K 101, BB 98 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).
Result: wOBA .446 → .291; ISO .462 → .314; BABIP .286 → .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 — .