Cristian Santana
SS West Michigan Whitecaps| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 20 | A/ROKDET | 229 | .154/.380/.321 | 8 | 1 | 49 | — | .117/.281/.229 |
| 2025 | 21 | ADET | 394 | .195/.377/.387 | 15 | 7 | 70 | — | .152/.297/.307 |
| 2026 | 22 | A+DET | 354 | .198/.348/.396 | 16 | 5 | 60 | — | .161/.279/.314 |
| 2027PROJMLE | 23 | MLBDET | 1 | .170/.291/.316 | 0 | 0 | 79 | 0.0 | |
| 2028PROJ38% MLB | 24 | MLBDET | 105 | .175/.294/.325 | 3 | 1 | 82 | 0.1 | |
| 2029PROJ55% MLB | 25 | MLBDET | 186 | .179/.296/.331 | 6 | 2 | 84 | 0.3 |
Tools · ContractCON 25 / POW 50
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) | |||||||||||||||||||||||||||||||
| 2021 | 17 | ROK | DSL Tigers | — | 216 | 171 | 46 | 12 | 2 | 9 | 30 | 46 | 15 | 12 | 7 | 269 | 421 | 520 | 942 | 251 | 319 | 21 | 14 | 417 | 57 | — | — | — | — | — | — |
| 2022 | 18 | A | Lakeland Flying Tigers | — | 340 | 265 | 57 | 13 | 0 | 9 | 54 | 88 | 18 | 10 | 5 | 215 | 383 | 366 | 749 | 151 | 281 | 26 | 16 | 347 | 61 | — | — | — | — | — | — |
| 2023 | 19 | A | Lakeland Flying Tigers | — | 419 | 308 | 48 | 12 | 0 | 12 | 91 | 116 | 14 | 6 | 5 | 156 | 370 | 312 | 682 | 156 | 194 | 28 | 22 | 324 | 42 | — | — | — | — | — | — |
| 2024 | 20 | A | Lakeland Flying Tigers | — | 207 | 147 | 22 | 3 | 0 | 7 | 49 | 69 | 4 | 1 | 2 | 150 | 375 | 313 | 688 | 163 | 195 | 33 | 24 | 321 | 46 | — | — | — | — | — | — |
| 2024 | 20 | ROK | FCL Tigers | — | 22 | 15 | 3 | 0 | 0 | 1 | 3 | 5 | 3 | 0 | 0 | 200 | 429 | 400 | 829 | 200 | 200 | 23 | 14 | 372 | 82 | — | — | — | — | — | — |
| 2025 | 21 | A | Lakeland Flying Tigers | — | 394 | 302 | 59 | 11 | 1 | 15 | 76 | 98 | 12 | 7 | 1 | 195 | 377 | 387 | 764 | 192 | 228 | 25 | 19 | 350 | 70 | — | — | — | — | — | — |
| 2026 | 22 | A+ | West Michigan Whitecaps | — | 354 | 283 | 56 | 6 | 1 | 16 | 54 | 92 | 11 | 5 | 0 | 198 | 348 | 396 | 743 | 198 | 225 | 26 | 15 | 334 | 60 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2021 | 17 | ROK MLE | DSL Tigers | — | 216 | 180 | 28 | 7 | 1 | 5 | 21 | 56 | 15 | 12 | 7 | 156 | 296 | 289 | 585 | 133 | 181 | 26 | 10 | 252 | 57 | — | — | — | — | — | — |
| 2022 | 18 | A MLE | Lakeland Flying Tigers | — | 340 | 280 | 44 | 10 | 0 | 5 | 39 | 122 | 18 | 10 | 5 | 157 | 300 | 246 | 546 | 89 | 245 | 36 | 11 | 259 | 61 | — | — | — | — | — | — |
| 2023 | 19 | A MLE | Lakeland Flying Tigers | — | 419 | 340 | 39 | 9 | 0 | 8 | 59 | 162 | 14 | 6 | 5 | 115 | 271 | 212 | 483 | 97 | 167 | 39 | 14 | 231 | 42 | — | — | — | — | — | — |
| 2024 | 20 | A MLE | Lakeland Flying Tigers | — | 207 | 164 | 18 | 2 | 0 | 5 | 32 | 91 | 4 | 1 | 2 | 110 | 270 | 213 | 483 | 104 | 161 | 44 | 15 | 236 | 46 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | FCL Tigers | — | 22 | 16 | 3 | 0 | 0 | 1 | 2 | 7 | 3 | 0 | 0 | 188 | 381 | 375 | 756 | 188 | 161 | 32 | 9 | 289 | 82 | — | — | — | — | — | — |
| 2025 | 21 | A MLE | Lakeland Flying Tigers | — | 394 | 323 | 49 | 9 | 1 | 13 | 55 | 134 | 12 | 7 | 1 | 152 | 297 | 307 | 604 | 155 | 187 | 34 | 14 | 272 | 70 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | West Michigan Whitecaps | — | 354 | 299 | 48 | 5 | 1 | 13 | 38 | 117 | 11 | 5 | 0 | 161 | 279 | 314 | 593 | 154 | 189 | 33 | 11 | 257 | 60 | — | — | — | — | — | — |
| 2021 | 17 | ROK MLE | DSL Tigers | — | 216 | 180 | 28 | 7 | 1 | 5 | 21 | 56 | 15 | 12 | 7 | 156 | 296 | 289 | 585 | 133 | 193 | 26 | 10 | 252 | 57 | — | — | — | — | — | — |
| 2021 | 17 | ROK RAW | DSL Tigers | — | 216 | 171 | 46 | 12 | 2 | 9 | 30 | 46 | 15 | 12 | 7 | 269 | 421 | 520 | 942 | 251 | 319 | 21 | 14 | 417 | 57 | — | — | — | — | — | — |
| 2022 | 18 | A MLE | Lakeland Flying Tigers | — | 340 | 280 | 44 | 10 | 0 | 5 | 39 | 122 | 18 | 10 | 5 | 157 | 300 | 246 | 546 | 89 | 250 | 36 | 11 | 259 | 61 | — | — | — | — | — | — |
| 2022 | 18 | A RAW | Lakeland Flying Tigers | — | 340 | 265 | 57 | 13 | 0 | 9 | 54 | 88 | 18 | 10 | 5 | 215 | 383 | 366 | 749 | 151 | 281 | 26 | 16 | 347 | 61 | — | — | — | — | — | — |
| 2023 | 19 | A MLE | Lakeland Flying Tigers | — | 419 | 340 | 39 | 9 | 0 | 8 | 59 | 162 | 14 | 6 | 5 | 115 | 271 | 212 | 483 | 97 | 176 | 39 | 14 | 231 | 42 | — | — | — | — | — | — |
| 2023 | 19 | A RAW | Lakeland Flying Tigers | — | 419 | 308 | 48 | 12 | 0 | 12 | 91 | 116 | 14 | 6 | 5 | 156 | 370 | 312 | 682 | 156 | 194 | 28 | 22 | 324 | 42 | — | — | — | — | — | — |
| 2024 | 20 | A MLE | 2 teams | — | 229 | 180 | 21 | 2 | 0 | 6 | 34 | 99 | 7 | 1 | 2 | 117 | 281 | 228 | 508 | 111 | 183 | 43 | 15 | 241 | 49 | — | — | — | — | — | — |
| 2024 | 20 | A RAW | 2 teams | — | 229 | 162 | 25 | 3 | 0 | 8 | 52 | 74 | 7 | 1 | 2 | 154 | 380 | 321 | 701 | 167 | 195 | 32 | 23 | 326 | 49 | — | — | — | — | — | — |
| 2025 | 21 | A MLE | Lakeland Flying Tigers | — | 394 | 323 | 49 | 9 | 1 | 13 | 55 | 134 | 12 | 7 | 1 | 152 | 297 | 307 | 604 | 155 | 200 | 34 | 14 | 272 | 70 | — | — | — | — | — | — |
| 2025 | 21 | A RAW | Lakeland Flying Tigers | — | 394 | 302 | 59 | 11 | 1 | 15 | 76 | 98 | 12 | 7 | 1 | 195 | 377 | 387 | 764 | 192 | 228 | 25 | 19 | 350 | 70 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | West Michigan Whitecaps | — | 354 | 299 | 48 | 5 | 1 | 13 | 38 | 117 | 11 | 5 | 0 | 161 | 279 | 314 | 593 | 154 | 203 | 33 | 11 | 257 | 60 | — | — | — | — | — | — |
| 2026 | 22 | A+ RAW | West Michigan Whitecaps | — | 354 | 283 | 56 | 6 | 1 | 16 | 54 | 92 | 11 | 5 | 0 | 198 | 348 | 396 | 743 | 198 | 225 | 26 | 15 | 334 | 60 | — | — | — | — | — | — |
| 2021 | 17 | ROK MLE | DSL Tigers | — | 216 | 178 | 28 | 7 | 1 | 5 | 21 | 56 | 15 | 12 | 7 | 157 | 296 | 292 | 588 | 135 | 181 | 26 | 10 | 252 | 57 | — | — | — | — | — | — |
| 2022 | 18 | A MLE | Lakeland Flying Tigers | — | 340 | 280 | 44 | 10 | 0 | 5 | 39 | 122 | 18 | 10 | 5 | 157 | 300 | 246 | 546 | 89 | 245 | 36 | 11 | 259 | 61 | — | — | — | — | — | — |
| 2023 | 19 | A MLE | Lakeland Flying Tigers | — | 419 | 343 | 39 | 9 | 0 | 8 | 59 | 162 | 14 | 6 | 5 | 114 | 271 | 210 | 481 | 96 | 167 | 39 | 14 | 231 | 42 | — | — | — | — | — | — |
| 2024 | 20 | A MLE | 2 teams | — | 229 | 186 | 21 | 2 | 0 | 6 | 34 | 99 | 7 | 1 | 2 | 113 | 281 | 220 | 501 | 108 | 161 | 43 | 15 | 241 | 49 | — | — | — | — | — | — |
| 2025 | 21 | A MLE | Lakeland Flying Tigers | — | 394 | 324 | 49 | 9 | 1 | 13 | 55 | 134 | 12 | 7 | 1 | 151 | 297 | 306 | 603 | 154 | 187 | 34 | 14 | 272 | 70 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | West Michigan Whitecaps | — | 354 | 302 | 48 | 5 | 1 | 13 | 38 | 117 | 11 | 5 | 0 | 159 | 279 | 311 | 590 | 152 | 189 | 33 | 11 | 257 | 60 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 20 | A MLE | 2 teams | — | 229 | 186 | 21 | 2 | 0 | 6 | 34 | 99 | 7 | 1 | 2 | 113 | 281 | 220 | 501 | 108 | 161 | 43 | 15 | 241 | 49 | — | — | — | — | — | — |
| 2025 | 21 | A MLE | Lakeland Flying Tigers | — | 394 | 324 | 49 | 9 | 1 | 13 | 55 | 134 | 12 | 7 | 1 | 151 | 297 | 306 | 603 | 154 | 187 | 34 | 14 | 272 | 70 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | West Michigan Whitecaps | — | 354 | 302 | 48 | 5 | 1 | 13 | 38 | 117 | 11 | 5 | 0 | 159 | 279 | 311 | 590 | 152 | 189 | 33 | 11 | 257 | 60 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 23 | MLB MLE | DET | 0% | 464 | 394 | 68 | 10 | 1 | 16 | 57 | 146 | 10 | 5 | 1 | 173 | 294 | 325 | 619 | 152 | 223 | 31 | 12 | 285 | 79 | -12 | +1 | +0 | +5 | +10 | 0.3 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 23 | MLB CTX | DET | 0% | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 291 | 316 | 606 | 146 | 219 | 0 | 0 | 280 | 79 | -0 | +0 | +0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 24 | MLB MLE | DET | 38% | 276 | 235 | 42 | 6 | 1 | 10 | 33 | 85 | 6 | 3 | 0 | 179 | 297 | 335 | 632 | 156 | 228 | 31 | 12 | 290 | 82 | -6 | +1 | +0 | +3 | +6 | 0.4 |
| 2029 | 25 | MLB MLE | DET | 55% | 336 | 286 | 53 | 8 | 1 | 12 | 40 | 102 | 7 | 3 | 1 | 183 | 300 | 341 | 641 | 158 | 232 | 30 | 12 | 293 | 84 | -6 | +0 | +0 | +4 | +7 | 0.5 |
| 2030 | 26 | MLB MLE | DET | 64% | 371 | 316 | 59 | 9 | 1 | 13 | 44 | 111 | 8 | 4 | 1 | 186 | 301 | 345 | 645 | 158 | 236 | 30 | 12 | 294 | 85 | -7 | +0 | +0 | +4 | +8 | 0.6 |
| 2031 | 27 | MLB MLE | DET | 66% | 387 | 331 | 62 | 10 | 1 | 13 | 45 | 115 | 8 | 3 | 1 | 188 | 301 | 345 | 646 | 157 | 239 | 30 | 12 | 294 | 85 | -7 | +0 | +0 | +4 | +8 | 0.6 |
| 2032 | 28 | MLB MLE | DET | 67% | 391 | 336 | 63 | 10 | 1 | 13 | 45 | 115 | 7 | 2 | 0 | 190 | 300 | 344 | 644 | 154 | 241 | 29 | 12 | 293 | 85 | -7 | +0 | -1 | +4 | +8 | 0.5 |
| 2033 | 29 | MLB MLE | DET | 66% | 385 | 331 | 62 | 10 | 1 | 13 | 44 | 115 | 7 | 1 | 0 | 187 | 297 | 338 | 635 | 150 | 240 | 30 | 11 | 290 | 82 | -8 | +0 | -1 | +4 | +8 | 0.3 |
| 2034 | 30 | MLB MLE | DET | 65% | 376 | 323 | 60 | 10 | 1 | 12 | 43 | 113 | 7 | 0 | 0 | 185 | 294 | 330 | 624 | 146 | 238 | 30 | 11 | 285 | 79 | -9 | +0 | -2 | +4 | +8 | 0.1 |
| 2028 | 24 | MLB CTX | DET | 38% | 105 | 89 | 14 | 2 | 0 | 3 | 13 | 32 | 2 | 1 | 0 | 175 | 294 | 325 | 619 | 150 | 224 | 30 | 12 | 285 | 82 | -2 | +0 | +0 | +1 | +2 | 0.1 |
| 2029 | 25 | MLB CTX | DET | 55% | 186 | 158 | 28 | 4 | 1 | 6 | 22 | 56 | 4 | 2 | 0 | 179 | 296 | 331 | 628 | 152 | 228 | 30 | 12 | 288 | 84 | -4 | +0 | +0 | +2 | +4 | 0.3 |
| 2030 | 26 | MLB CTX | DET | 64% | 236 | 201 | 37 | 6 | 1 | 8 | 28 | 71 | 5 | 2 | 0 | 182 | 297 | 335 | 632 | 152 | 232 | 30 | 12 | 289 | 85 | -4 | +0 | +0 | +3 | +5 | 0.4 |
| 2031 | 27 | MLB CTX | DET | 66% | 254 | 217 | 40 | 6 | 1 | 8 | 30 | 75 | 5 | 2 | 0 | 185 | 297 | 336 | 633 | 151 | 235 | 30 | 12 | 289 | 85 | -4 | +0 | +0 | +3 | +6 | 0.4 |
| 2032 | 28 | MLB CTX | DET | 67% | 261 | 224 | 42 | 7 | 1 | 8 | 30 | 77 | 5 | 2 | 0 | 186 | 297 | 334 | 631 | 149 | 237 | 30 | 11 | 288 | 85 | -5 | +0 | -0 | +3 | +6 | 0.4 |
| 2033 | 29 | MLB CTX | DET | 66% | 253 | 217 | 40 | 6 | 1 | 8 | 29 | 75 | 5 | 1 | 0 | 184 | 294 | 329 | 622 | 145 | 235 | 30 | 11 | 285 | 82 | -5 | +0 | -1 | +3 | +5 | 0.2 |
| 2034 | 30 | MLB CTX | DET | 65% | 245 | 210 | 38 | 6 | 1 | 7 | 28 | 74 | 5 | 0 | 0 | 181 | 291 | 321 | 612 | 140 | 234 | 30 | 11 | 281 | 79 | -6 | +0 | -1 | +3 | +5 | 0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1540 | 1316 | 239 | 37 | 6 | 48 | 180 | 460 | 31 | 10 | 0 | 182 | 295 | 328 | 623 | 147 | 234 | 30 | 12 | 287 | 72 | -30 | +2 | -3 | +16 | +33 | 1.9 | |
| / 162G | — | A+C | — | 650 | 555 | 101 | 16 | 3 | 20 | 76 | 194 | 13 | 4 | 0 | 182 | 295 | 330 | 625 | 148 | 235 | 30 | 12 | 287 | 72 | -13 | +1 | -1 | +7 | +14 | 0.8 | |
| Career | — | MLE | — | 4684 | 3937 | 662 | 110 | 11 | 143 | 566 | 1512 | 132 | 59 | 23 | 168 | 293 | 311 | 604 | 142 | 224 | 32 | 12 | 275 | 72 | -55 | +2 | -4 | +29 | +59 | 3.2 | |
| / 162G | — | MLE | — | 650 | 546 | 92 | 15 | 2 | 20 | 79 | 210 | 18 | 8 | 3 | 168 | 294 | 313 | 607 | 145 | 224 | 32 | 12 | 275 | 72 | -13 | +1 | -1 | +7 | +14 | 0.8 | |
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 · 354 PAwOBA .329 → .257 (−71)K% 26.0% → 33.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.99% | ÷1.000 | ×1.270 | — | — | 33.01% |
| BB% (unintentional) /PA | 15.25% | ÷1.000 | ×0.710 | — | ×0.998 | 10.81% |
| HBP% /PA | 3.11% | — | ×0.790 | — | ×0.998 | 2.45% |
| Singles /BIP | 17.28% | ÷1.000 | ×0.920 | ×0.950 | ×0.998 | 15.07% |
| Doubles /BIP | 3.14% | ÷1.000 | ×0.810 | ×0.950 | ×0.998 | 2.41% |
| Triples /BIP | 0.52% | ÷1.000 | ×0.850 | ×0.950 | ×0.998 | 0.42% |
| Home runs /BIP | 8.38% | ÷1.000 | ×0.800 | — | ×0.998 | 6.69% |
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 ×0.950.
Result: wOBA .329 → .257; ISO .198 → .157; BABIP .225 → .189. 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 · 394 PAwOBA .344 → .272 (−72)K% 24.9% → 33.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.87% | ÷0.998 | ×1.360 | — | — | 33.88% |
| BB% (unintentional) /PA | 19.04% | ÷0.945 | ×0.690 | — | — | 13.90% |
| HBP% /PA | 3.05% | — | ×0.780 | — | — | 2.38% |
| Singles /BIP | 15.69% | ÷1.051 | ×0.920 | ×0.950 | — | 13.04% |
| Doubles /BIP | 5.39% | ÷0.971 | ×0.830 | ×0.950 | — | 4.38% |
| Triples /BIP | 0.49% | ÷1.150 | ×0.910 | ×0.950 | — | 0.37% |
| Home runs /BIP | 7.35% | ÷0.864 | ×0.800 | — | — | 6.81% |
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 ×0.950.
Result: wOBA .344 → .272; ISO .192 → .166; BABIP .228 → .187. 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 · 207 PAwOBA .323 → .236 (−88)K% 33.3% → 44.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷1.028 | ×1.360 | — | — | 44.11% |
| BB% (unintentional) /PA | 23.67% | ÷1.061 | ×0.690 | — | ×1.015 | 15.62% |
| HBP% /PA | 1.93% | — | ×0.780 | — | ×1.015 | 1.53% |
| Singles /BIP | 15.38% | ÷0.980 | ×0.920 | ×0.950 | ×1.015 | 13.93% |
| Doubles /BIP | 3.85% | ÷1.351 | ×0.830 | ×0.950 | ×1.015 | 2.28% |
| Triples /BIP | 0.00% | ÷1.106 | ×0.910 | ×0.950 | ×1.015 | 0.00% |
| Home runs /BIP | 8.97% | ÷1.099 | ×0.800 | — | ×1.015 | 6.63% |
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 ×0.950.
Result: wOBA .323 → .236; ISO .163 → .121; BABIP .195 → .161. 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 ROKFCL Tigers · 22 PAwOBA .381 → .289 (−92)K% 22.7% → 33.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.73% | ÷0.991 | ×1.440 | — | — | 33.01% |
| BB% (unintentional) /PA | 13.64% | ÷1.040 | ×0.620 | — | ×0.985 | 8.01% |
| HBP% /PA | 13.64% | — | ×0.720 | — | ×0.985 | 9.67% |
| Singles /BIP | 20.00% | ÷0.993 | ×0.820 | — | ×0.985 | 16.27% |
| Doubles /BIP | 0.00% | ÷0.981 | ×0.720 | — | ×0.985 | 0.00% |
| Triples /BIP | 0.00% | ÷0.947 | ×0.720 | — | ×0.985 | 0.00% |
| Home runs /BIP | 10.00% | ÷0.952 | ×0.780 | — | ×0.985 | 8.07% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 99, 2B 96, 3B 89, K 98, BB 108 — 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 .381 → .289; ISO .200 → .175; BABIP .200 → .161. 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 · 419 PAwOBA .322 → .231 (−91)K% 27.7% → 38.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.68% | ÷0.975 | ×1.360 | — | — | 38.61% |
| BB% (unintentional) /PA | 21.72% | ÷1.089 | ×0.690 | — | ×1.030 | 14.18% |
| HBP% /PA | 3.34% | — | ×0.780 | — | ×1.030 | 2.68% |
| Singles /BIP | 12.50% | ÷0.957 | ×0.920 | ×0.950 | ×1.030 | 11.76% |
| Doubles /BIP | 6.25% | ÷1.056 | ×0.830 | ×0.950 | ×1.030 | 4.81% |
| Triples /BIP | 0.00% | ÷1.020 | ×0.910 | ×0.950 | ×1.030 | 0.00% |
| Home runs /BIP | 6.25% | ÷1.216 | ×0.800 | — | ×1.030 | 4.24% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .322 → .231; ISO .156 → .106; BABIP .194 → .167. 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 ALakeland Flying Tigers · 340 PAwOBA .342 → .259 (−83)K% 25.9% → 35.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.88% | ÷0.982 | ×1.360 | — | — | 35.85% |
| BB% (unintentional) /PA | 15.88% | ÷0.998 | ×0.690 | — | ×1.045 | 11.47% |
| HBP% /PA | 5.29% | — | ×0.780 | — | ×1.045 | 4.32% |
| Singles /BIP | 19.77% | ÷1.009 | ×0.920 | ×0.951 | ×1.045 | 17.93% |
| Doubles /BIP | 7.34% | ÷0.974 | ×0.830 | ×0.951 | ×1.045 | 6.22% |
| Triples /BIP | 0.00% | ÷1.039 | ×0.910 | ×0.951 | ×1.045 | 0.00% |
| Home runs /BIP | 5.08% | ÷1.279 | ×0.800 | — | ×1.045 | 3.32% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 102, 2B 95, 3B 108, K 96, BB 100 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.
Result: wOBA .342 → .259; ISO .151 → .100; BABIP .281 → .245. 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 DSLDSL Tigers · 216 PAwOBA .407 → .252 (−155)K% 21.3% → 25.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.30% | ÷1.006 | ×1.220 | — | — | 25.82% |
| BB% (unintentional) /PA | 13.89% | ÷0.994 | ×0.700 | — | ×1.008 | 9.85% |
| HBP% /PA | 6.94% | — | ×0.700 | — | ×1.008 | 4.90% |
| Singles /BIP | 18.40% | ÷1.048 | ×0.680 | ×0.950 | ×1.008 | 11.43% |
| Doubles /BIP | 9.60% | ÷1.082 | ×0.600 | ×0.950 | ×1.008 | 5.10% |
| Triples /BIP | 1.60% | ÷0.951 | ×0.600 | ×0.950 | ×1.008 | 0.97% |
| Home runs /BIP | 7.20% | ÷0.956 | ×0.470 | — | ×1.008 | 3.57% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 110, 2B 116, 3B 90, K 101, BB 99 — 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 .407 → .252; ISO .251 → .133; BABIP .319 → .181. 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).