Ricardo Hurtado
C West Michigan Whitecaps| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 21 | A/ROKDET | 183 | .235/.433/.379 | 3 | 2 | 65 | — | .163/.311/.250 |
| 2025 | 22 | ADET | 345 | .244/.320/.384 | 9 | 0 | 45 | — | .180/.244/.293 |
| 2026 | 23 | A+DET | 427 | .191/.353/.312 | 9 | 6 | 50 | — | .153/.282/.242 |
| 2027PROJMLE | 24 | MLBDET | 1 | .186/.284/.287 | 0 | 0 | 68 | 0.0 | |
| 2028PROJ30% MLB | 25 | MLBDET | 75 | .190/.287/.296 | 1 | 1 | 71 | 0.1 | |
| 2029PROJ44% MLB | 26 | MLBDET | 131 | .192/.288/.301 | 3 | 1 | 73 | 0.1 |
Tools · ContractCON 35 / POW 40
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 | 19 | ROK | DSL Tigers 2 | — | 114 | 81 | 16 | 7 | 0 | 0 | 21 | 12 | 12 | 2 | 1 | 198 | 430 | 284 | 714 | 86 | 232 | 11 | 18 | 356 | 48 | — | — | — | — | — | — |
| 2023 | 20 | ROK | FCL Tigers | — | 93 | 76 | 17 | 4 | 1 | 3 | 9 | 25 | 5 | 1 | 0 | 224 | 344 | 421 | 765 | 197 | 280 | 27 | 10 | 334 | 44 | — | — | — | — | — | — |
| 2024 | 21 | A | Lakeland Flying Tigers | — | 22 | 16 | 4 | 1 | 0 | 0 | 4 | 5 | 1 | 0 | 0 | 250 | 429 | 312 | 741 | 62 | 333 | 23 | 18 | 342 | 78 | — | — | — | — | — | — |
| 2024 | 21 | ROK | FCL Tigers | — | 161 | 116 | 27 | 9 | 0 | 3 | 33 | 40 | 9 | 2 | 1 | 233 | 434 | 388 | 822 | 155 | 320 | 25 | 20 | 379 | 63 | — | — | — | — | — | — |
| 2025 | 22 | A | Lakeland Flying Tigers | — | 345 | 307 | 75 | 16 | 0 | 9 | 29 | 92 | 6 | 0 | 0 | 244 | 320 | 384 | 704 | 140 | 319 | 27 | 8 | 316 | 45 | — | — | — | — | — | — |
| 2026 | 23 | A+ | West Michigan Whitecaps | — | 427 | 340 | 65 | 14 | 0 | 9 | 69 | 115 | 16 | 6 | 1 | 191 | 353 | 312 | 665 | 121 | 257 | 27 | 16 | 315 | 50 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 19 | ROK MLE | DSL Tigers 2 | — | 114 | 87 | 11 | 4 | 0 | 0 | 15 | 15 | 12 | 2 | 1 | 126 | 333 | 172 | 506 | 46 | 143 | 13 | 13 | 239 | 48 | — | — | — | — | — | — |
| 2023 | 20 | ROK MLE | FCL Tigers | — | 93 | 79 | 13 | 3 | 1 | 2 | 6 | 37 | 5 | 1 | 0 | 165 | 267 | 304 | 570 | 139 | 214 | 40 | 6 | 233 | 44 | — | — | — | — | — | — |
| 2024 | 21 | A MLE | Lakeland Flying Tigers | — | 22 | 17 | 4 | 1 | 0 | 0 | 3 | 7 | 1 | 0 | 0 | 235 | 381 | 294 | 675 | 59 | 292 | 32 | 14 | 284 | 78 | — | — | — | — | — | — |
| 2024 | 21 | ROK MLE | FCL Tigers | — | 161 | 131 | 20 | 6 | 0 | 2 | 19 | 58 | 9 | 2 | 1 | 153 | 302 | 244 | 546 | 92 | 242 | 36 | 12 | 262 | 63 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | Lakeland Flying Tigers | — | 345 | 317 | 57 | 12 | 0 | 8 | 21 | 125 | 6 | 0 | 0 | 180 | 244 | 293 | 538 | 114 | 263 | 36 | 6 | 234 | 45 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | West Michigan Whitecaps | — | 427 | 360 | 55 | 11 | 0 | 7 | 49 | 146 | 16 | 6 | 1 | 153 | 282 | 242 | 524 | 89 | 223 | 34 | 11 | 242 | 50 | — | — | — | — | — | — |
| 2022 | 19 | ROK MLE | DSL Tigers 2 | — | 114 | 87 | 11 | 4 | 0 | 0 | 15 | 15 | 12 | 2 | 1 | 126 | 333 | 172 | 506 | 46 | 153 | 13 | 13 | 239 | 48 | — | — | — | — | — | — |
| 2022 | 19 | ROK RAW | DSL Tigers 2 | — | 114 | 81 | 16 | 7 | 0 | 0 | 21 | 12 | 12 | 2 | 1 | 198 | 430 | 284 | 714 | 86 | 232 | 11 | 18 | 356 | 48 | — | — | — | — | — | — |
| 2023 | 20 | ROK MLE | FCL Tigers | — | 93 | 79 | 13 | 3 | 1 | 2 | 6 | 37 | 5 | 1 | 0 | 165 | 267 | 304 | 570 | 139 | 262 | 40 | 6 | 233 | 44 | — | — | — | — | — | — |
| 2023 | 20 | ROK RAW | FCL Tigers | — | 93 | 76 | 17 | 4 | 1 | 3 | 9 | 25 | 5 | 1 | 0 | 224 | 344 | 421 | 765 | 197 | 280 | 27 | 10 | 334 | 44 | — | — | — | — | — | — |
| 2024 | 21 | ROK MLE | 2 teams | — | 183 | 148 | 24 | 7 | 0 | 2 | 22 | 65 | 10 | 2 | 1 | 162 | 311 | 250 | 561 | 88 | 262 | 36 | 12 | 265 | 65 | — | — | — | — | — | — |
| 2024 | 21 | ROK RAW | 2 teams | — | 183 | 132 | 31 | 10 | 0 | 3 | 37 | 45 | 10 | 2 | 1 | 235 | 433 | 379 | 812 | 144 | 322 | 25 | 20 | 375 | 65 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | Lakeland Flying Tigers | — | 345 | 317 | 57 | 12 | 0 | 8 | 21 | 125 | 6 | 0 | 0 | 180 | 244 | 293 | 538 | 114 | 265 | 36 | 6 | 234 | 45 | — | — | — | — | — | — |
| 2025 | 22 | A RAW | Lakeland Flying Tigers | — | 345 | 307 | 75 | 16 | 0 | 9 | 29 | 92 | 6 | 0 | 0 | 244 | 320 | 384 | 704 | 140 | 319 | 27 | 8 | 316 | 45 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | West Michigan Whitecaps | — | 427 | 360 | 55 | 11 | 0 | 7 | 49 | 146 | 16 | 6 | 1 | 153 | 282 | 242 | 524 | 89 | 230 | 34 | 11 | 242 | 50 | — | — | — | — | — | — |
| 2026 | 23 | A+ RAW | West Michigan Whitecaps | — | 427 | 340 | 65 | 14 | 0 | 9 | 69 | 115 | 16 | 6 | 1 | 191 | 353 | 312 | 665 | 121 | 257 | 27 | 16 | 315 | 50 | — | — | — | — | — | — |
| 2022 | 19 | ROK MLE | DSL Tigers 2 | — | 114 | 86 | 11 | 4 | 0 | 0 | 15 | 15 | 12 | 2 | 1 | 128 | 333 | 174 | 508 | 47 | 143 | 13 | 13 | 239 | 48 | — | — | — | — | — | — |
| 2023 | 20 | ROK MLE | FCL Tigers | — | 93 | 82 | 13 | 3 | 1 | 2 | 6 | 37 | 5 | 1 | 0 | 159 | 267 | 293 | 559 | 134 | 214 | 40 | 6 | 233 | 44 | — | — | — | — | — | — |
| 2024 | 21 | ROK MLE | 2 teams | — | 183 | 149 | 24 | 7 | 0 | 2 | 22 | 65 | 10 | 2 | 1 | 161 | 311 | 248 | 559 | 87 | 248 | 36 | 12 | 265 | 65 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | Lakeland Flying Tigers | — | 345 | 315 | 57 | 12 | 0 | 8 | 21 | 125 | 6 | 0 | 0 | 181 | 244 | 295 | 539 | 114 | 263 | 36 | 6 | 234 | 45 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | West Michigan Whitecaps | — | 427 | 359 | 55 | 11 | 0 | 7 | 49 | 146 | 16 | 6 | 1 | 153 | 282 | 242 | 525 | 89 | 223 | 34 | 11 | 242 | 50 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 21 | ROK MLE | 2 teams | — | 183 | 149 | 24 | 7 | 0 | 2 | 22 | 65 | 10 | 2 | 1 | 161 | 311 | 248 | 559 | 87 | 248 | 36 | 12 | 265 | 65 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | Lakeland Flying Tigers | — | 345 | 315 | 57 | 12 | 0 | 8 | 21 | 125 | 6 | 0 | 0 | 181 | 244 | 295 | 539 | 114 | 263 | 36 | 6 | 234 | 45 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | West Michigan Whitecaps | — | 427 | 359 | 55 | 11 | 0 | 7 | 49 | 146 | 16 | 6 | 1 | 153 | 282 | 242 | 525 | 89 | 223 | 34 | 11 | 242 | 50 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 24 | MLB MLE | DET | 0% | 380 | 332 | 64 | 13 | 1 | 7 | 36 | 123 | 9 | 3 | 1 | 190 | 287 | 294 | 581 | 104 | 273 | 32 | 9 | 269 | 68 | -14 | +0 | +0 | +7 | +8 | 0.2 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 24 | MLB CTX | DET | 0% | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 186 | 284 | 287 | 571 | 101 | 269 | 0 | 0 | 265 | 68 | -0 | +0 | +0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 25 | MLB MLE | DET | 30% | 247 | 215 | 42 | 9 | 0 | 5 | 24 | 78 | 6 | 2 | 0 | 193 | 290 | 303 | 593 | 110 | 275 | 32 | 10 | 273 | 71 | -8 | +0 | +0 | +4 | +5 | 0.2 |
| 2029 | 26 | MLB MLE | DET | 44% | 295 | 258 | 50 | 10 | 0 | 6 | 28 | 92 | 7 | 2 | 1 | 196 | 291 | 308 | 599 | 112 | 275 | 31 | 9 | 276 | 73 | -10 | +0 | +0 | +5 | +6 | 0.2 |
| 2030 | 27 | MLB MLE | DET | 49% | 315 | 275 | 54 | 11 | 1 | 6 | 30 | 98 | 7 | 2 | 1 | 197 | 292 | 310 | 602 | 113 | 276 | 31 | 10 | 277 | 73 | -10 | +0 | +0 | +6 | +7 | 0.3 |
| 2031 | 28 | MLB MLE | DET | 52% | 323 | 283 | 56 | 11 | 1 | 6 | 30 | 99 | 7 | 1 | 0 | 198 | 291 | 311 | 602 | 113 | 275 | 31 | 9 | 276 | 73 | -10 | +0 | -1 | +6 | +7 | 0.2 |
| 2032 | 29 | MLB MLE | DET | 51% | 319 | 280 | 54 | 11 | 0 | 6 | 30 | 98 | 6 | 0 | 0 | 198 | 290 | 309 | 599 | 111 | 275 | 31 | 9 | 275 | 72 | -11 | +0 | -1 | +6 | +7 | 0.1 |
| 2033 | 30 | MLB MLE | DET | 51% | 312 | 274 | 53 | 11 | 0 | 6 | 29 | 97 | 6 | 0 | 0 | 195 | 286 | 301 | 587 | 106 | 272 | 31 | 9 | 270 | 69 | -11 | +0 | -2 | +6 | +7 | -0.1 |
| 2028 | 25 | MLB CTX | DET | 30% | 75 | 66 | 12 | 3 | 0 | 1 | 7 | 24 | 2 | 1 | 0 | 190 | 287 | 296 | 582 | 106 | 270 | 32 | 9 | 269 | 71 | -3 | +0 | +0 | +1 | +2 | 0.1 |
| 2029 | 26 | MLB CTX | DET | 44% | 131 | 115 | 22 | 4 | 0 | 3 | 12 | 41 | 3 | 1 | 0 | 192 | 288 | 301 | 589 | 108 | 271 | 31 | 9 | 272 | 73 | -4 | +0 | +0 | +2 | +3 | 0.1 |
| 2030 | 27 | MLB CTX | DET | 49% | 154 | 135 | 26 | 5 | 0 | 3 | 15 | 48 | 3 | 1 | 0 | 194 | 289 | 303 | 591 | 109 | 271 | 31 | 10 | 273 | 73 | -5 | +0 | +0 | +3 | +3 | 0.1 |
| 2031 | 28 | MLB CTX | DET | 52% | 166 | 146 | 28 | 6 | 0 | 3 | 16 | 51 | 3 | 1 | 0 | 194 | 288 | 303 | 591 | 109 | 271 | 31 | 10 | 272 | 73 | -5 | +0 | -0 | +3 | +4 | 0.1 |
| 2032 | 29 | MLB CTX | DET | 51% | 164 | 145 | 28 | 6 | 0 | 3 | 15 | 50 | 3 | 0 | 0 | 194 | 286 | 302 | 588 | 108 | 270 | 30 | 9 | 271 | 72 | -5 | +0 | -1 | +3 | +4 | 0.0 |
| 2033 | 30 | MLB CTX | DET | 51% | 161 | 142 | 27 | 5 | 0 | 3 | 15 | 50 | 3 | 0 | 0 | 191 | 283 | 294 | 577 | 103 | 268 | 31 | 9 | 266 | 69 | -6 | +0 | -1 | +3 | +3 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 851 | 749 | 143 | 29 | 0 | 16 | 80 | 264 | 17 | 4 | 0 | 191 | 284 | 294 | 577 | 103 | 268 | 31 | 9 | 271 | 64 | -28 | +1 | -2 | +15 | +18 | 0.4 | |
| / 162G | — | A+C | — | 650 | 572 | 109 | 22 | 0 | 12 | 61 | 202 | 13 | 3 | 0 | 191 | 283 | 292 | 575 | 101 | 268 | 31 | 9 | 271 | 64 | -22 | +1 | -2 | +12 | +14 | 0.3 | |
| Career | — | MLE | — | 3183 | 2759 | 504 | 107 | 3 | 58 | 304 | 1018 | 93 | 20 | 5 | 183 | 285 | 287 | 572 | 104 | 262 | 32 | 10 | 262 | 64 | -68 | +1 | -4 | +36 | +44 | 0.9 | |
| / 162G | — | MLE | — | 650 | 563 | 104 | 22 | 1 | 12 | 62 | 208 | 19 | 4 | 1 | 185 | 287 | 291 | 579 | 107 | 265 | 32 | 10 | 262 | 64 | -22 | +0 | -1 | +12 | +14 | 0.3 | |
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 · 427 PAwOBA .310 → .242 (−67)K% 26.9% → 34.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.93% | ÷1.000 | ×1.270 | — | — | 34.20% |
| BB% (unintentional) /PA | 16.16% | ÷1.000 | ×0.710 | — | ×0.998 | 11.45% |
| HBP% /PA | 3.75% | — | ×0.790 | — | ×0.998 | 2.95% |
| Singles /BIP | 18.67% | ÷1.000 | ×0.920 | ×0.985 | ×0.998 | 16.88% |
| Doubles /BIP | 6.22% | ÷1.000 | ×0.810 | ×0.985 | ×0.998 | 4.95% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.850 | ×0.985 | ×0.998 | 0.00% |
| Home runs /BIP | 4.00% | ÷1.000 | ×0.800 | — | ×0.998 | 3.19% |
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 ×0.985.
Result: wOBA .310 → .242; ISO .121 → .094; BABIP .257 → .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 · 345 PAwOBA .309 → .234 (−75)K% 26.7% → 36.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.67% | ÷0.998 | ×1.360 | — | — | 36.32% |
| BB% (unintentional) /PA | 8.41% | ÷0.945 | ×0.690 | — | — | 6.14% |
| HBP% /PA | 1.74% | — | ×0.780 | — | — | 1.36% |
| Singles /BIP | 23.26% | ÷1.051 | ×0.920 | ×0.950 | — | 19.34% |
| Doubles /BIP | 7.44% | ÷0.971 | ×0.830 | ×0.950 | — | 6.04% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | ×0.950 | — | 0.00% |
| Home runs /BIP | 4.19% | ÷0.864 | ×0.800 | — | — | 3.88% |
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 .309 → .234; ISO .140 → .112; BABIP .319 → .263. 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 · 161 PAwOBA .375 → .262 (−114)K% 24.8% → 36.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.84% | ÷0.991 | ×1.440 | — | — | 36.09% |
| BB% (unintentional) /PA | 20.50% | ÷1.040 | ×0.620 | — | ×0.985 | 12.04% |
| HBP% /PA | 5.59% | — | ×0.720 | — | ×0.985 | 3.96% |
| Singles /BIP | 19.74% | ÷0.993 | ×0.820 | ×0.977 | ×0.985 | 15.70% |
| Doubles /BIP | 11.84% | ÷0.981 | ×0.720 | ×0.977 | ×0.985 | 8.37% |
| Triples /BIP | 0.00% | ÷0.947 | ×0.720 | ×0.977 | ×0.985 | 0.00% |
| Home runs /BIP | 3.95% | ÷0.952 | ×0.780 | — | ×0.985 | 3.19% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.
Result: wOBA .375 → .262; ISO .155 → .119; BABIP .320 → .242. 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 · 22 PAwOBA .351 → .284 (−66)K% 22.7% → 30.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.73% | ÷1.028 | ×1.360 | — | — | 30.07% |
| BB% (unintentional) /PA | 18.18% | ÷1.061 | ×0.690 | — | ×1.015 | 12.00% |
| HBP% /PA | 4.55% | — | ×0.780 | — | ×1.015 | 3.60% |
| Singles /BIP | 27.27% | ÷0.980 | ×0.920 | — | ×1.015 | 25.99% |
| Doubles /BIP | 9.09% | ÷1.351 | ×0.830 | — | ×1.015 | 5.67% |
| Triples /BIP | 0.00% | ÷1.106 | ×0.910 | — | ×1.015 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.099 | ×0.800 | — | ×1.015 | 0.00% |
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).
Result: wOBA .351 → .284; ISO .062 → .042; BABIP .333 → .292. 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 · 93 PAwOBA .333 → .233 (−100)K% 26.9% → 39.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.88% | ÷0.972 | ×1.440 | — | — | 39.82% |
| BB% (unintentional) /PA | 9.68% | ÷0.987 | ×0.620 | — | ×0.995 | 6.05% |
| HBP% /PA | 5.38% | — | ×0.720 | — | ×0.995 | 3.85% |
| Singles /BIP | 17.65% | ÷0.987 | ×0.820 | ×0.996 | ×0.995 | 14.53% |
| Doubles /BIP | 7.84% | ÷1.014 | ×0.720 | ×0.996 | ×0.995 | 5.52% |
| Triples /BIP | 1.96% | ÷1.150 | ×0.720 | ×0.996 | ×0.995 | 1.22% |
| Home runs /BIP | 5.88% | ÷0.924 | ×0.780 | — | ×0.995 | 4.94% |
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 ×0.996.
Result: wOBA .333 → .233; ISO .197 → .140; BABIP .280 → .214. 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 DSLDSL Tigers 2 · 114 PAwOBA .349 → .239 (−110)K% 10.5% → 13.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.53% | ÷0.991 | ×1.220 | — | — | 12.96% |
| BB% (unintentional) /PA | 18.42% | ÷1.003 | ×0.700 | — | ×0.995 | 12.79% |
| HBP% /PA | 10.53% | — | ×0.700 | — | ×0.995 | 7.33% |
| Singles /BIP | 13.04% | ÷0.988 | ×0.680 | ×0.970 | ×0.995 | 8.66% |
| Doubles /BIP | 10.14% | ÷1.047 | ×0.600 | ×0.970 | ×0.995 | 5.61% |
| Triples /BIP | 0.00% | ÷1.113 | ×0.600 | ×0.970 | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.933 | ×0.470 | — | ×0.995 | 0.00% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 98, 2B 109, 3B 123, K 98, BB 101 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.
Result: wOBA .349 → .239; ISO .086 → .053; BABIP .232 → .143. 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).