Dario Reynoso
3B San Jose Giants| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 19 | ROKSF | 202 | .206/.385/.323 | 3 | 8 | 28 | — | .134/.255/.209 |
| 2025 | 20 | A/ROKSF | 284 | .262/.411/.480 | 10 | 20 | 62 | — | .168/.277/.291 |
| 2026 | 21 | ASF | 460 | .274/.393/.483 | 15 | 21 | 78 | — | .203/.297/.349 |
| 2027PROJMLE | 22 | MLBSF | 570 | .175/.273/.301 | 12 | 14 | 64 | -0.3 | |
| 2028PROJ34% MLB | 23 | MLBSF | 143 | .179/.277/.313 | 3 | 4 | 72 | -0.1 | |
| 2029PROJ46% MLB | 24 | MLBSF | 215 | .186/.282/.329 | 6 | 5 | 78 | 0.0 |
Tools · ContractCON 40 / 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 | 18 | ROK | DSL Giants Orange | — | 137 | 104 | 30 | 8 | 1 | 3 | 30 | 41 | 3 | 12 | 0 | 288 | 460 | 471 | 931 | 183 | 450 | 30 | 22 | 420 | 76 | — | — | — | — | — | — |
| 2024 | 19 | ROK | ACL Giants | — | 202 | 155 | 32 | 7 | 1 | 3 | 41 | 75 | 4 | 8 | 3 | 206 | 385 | 323 | 708 | 116 | 367 | 37 | 20 | 334 | 28 | — | — | — | — | — | — |
| 2025 | 20 | A | San Jose Giants | — | 57 | 47 | 6 | 3 | 0 | 0 | 10 | 22 | 0 | 2 | 0 | 128 | 281 | 191 | 472 | 64 | 240 | 39 | 18 | 238 | -10 | — | — | — | — | — | — |
| 2025 | 20 | ROK | ACL Giants | — | 227 | 178 | 53 | 12 | 2 | 10 | 40 | 72 | 7 | 18 | 5 | 298 | 444 | 556 | 1.001 | 258 | 443 | 32 | 18 | 435 | 80 | — | — | — | — | — | — |
| 2026 | 21 | A | San Jose Giants | — | 460 | 383 | 105 | 27 | 4 | 15 | 71 | 153 | 4 | 21 | 6 | 274 | 393 | 483 | 876 | 209 | 417 | 33 | 15 | 387 | 78 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 18 | ROK MLE | DSL Giants Orange | — | 137 | 113 | 22 | 5 | 1 | 2 | 21 | 50 | 3 | 12 | 0 | 195 | 336 | 310 | 646 | 115 | 313 | 36 | 15 | 280 | 76 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | ACL Giants | — | 202 | 172 | 23 | 5 | 1 | 2 | 24 | 108 | 4 | 8 | 3 | 134 | 255 | 209 | 464 | 76 | 301 | 53 | 12 | 210 | 28 | — | — | — | — | — | — |
| 2025 | 20 | A MLE | San Jose Giants | — | 57 | 50 | 4 | 2 | 0 | 0 | 7 | 31 | 0 | 2 | 0 | 80 | 193 | 120 | 313 | 40 | 203 | 54 | 12 | 153 | -10 | — | — | — | — | — | — |
| 2025 | 20 | ROK MLE | ACL Giants | — | 227 | 195 | 37 | 8 | 1 | 6 | 23 | 99 | 7 | 18 | 5 | 190 | 298 | 333 | 631 | 144 | 341 | 44 | 10 | 287 | 80 | — | — | — | — | — | — |
| 2026 | 21 | A MLE | San Jose Giants | — | 460 | 404 | 82 | 20 | 3 | 11 | 50 | 208 | 4 | 21 | 6 | 203 | 297 | 349 | 646 | 146 | 378 | 45 | 11 | 284 | 78 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | DSL Giants Orange | — | 137 | 113 | 22 | 5 | 1 | 2 | 21 | 50 | 3 | 12 | 0 | 195 | 336 | 310 | 646 | 115 | 328 | 36 | 15 | 280 | 76 | — | — | — | — | — | — |
| 2023 | 18 | ROK RAW | DSL Giants Orange | — | 137 | 104 | 30 | 8 | 1 | 3 | 30 | 41 | 3 | 12 | 0 | 288 | 460 | 471 | 931 | 183 | 450 | 30 | 22 | 420 | 76 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | ACL Giants | — | 202 | 172 | 23 | 5 | 1 | 2 | 24 | 108 | 4 | 8 | 3 | 134 | 255 | 209 | 464 | 76 | 328 | 53 | 12 | 210 | 28 | — | — | — | — | — | — |
| 2024 | 19 | ROK RAW | ACL Giants | — | 202 | 155 | 32 | 7 | 1 | 3 | 41 | 75 | 4 | 8 | 3 | 206 | 385 | 323 | 708 | 116 | 367 | 37 | 20 | 334 | 28 | — | — | — | — | — | — |
| 2025 | 20 | ROK MLE | 2 teams | — | 284 | 245 | 42 | 10 | 1 | 6 | 30 | 130 | 7 | 20 | 5 | 171 | 280 | 294 | 574 | 122 | 327 | 46 | 11 | 260 | 62 | — | — | — | — | — | — |
| 2025 | 20 | ROK RAW | 2 teams | — | 284 | 225 | 59 | 15 | 2 | 10 | 50 | 94 | 7 | 20 | 5 | 262 | 411 | 480 | 891 | 218 | 402 | 33 | 18 | 395 | 62 | — | — | — | — | — | — |
| 2026 | 21 | A MLE | San Jose Giants | — | 460 | 404 | 82 | 20 | 3 | 11 | 50 | 208 | 4 | 21 | 6 | 203 | 297 | 349 | 646 | 146 | 382 | 45 | 11 | 284 | 78 | — | — | — | — | — | — |
| 2026 | 21 | A RAW | San Jose Giants | — | 460 | 383 | 105 | 27 | 4 | 15 | 71 | 153 | 4 | 21 | 6 | 274 | 393 | 483 | 876 | 209 | 417 | 33 | 15 | 387 | 78 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | DSL Giants Orange | — | 137 | 112 | 22 | 5 | 1 | 2 | 21 | 50 | 3 | 12 | 0 | 196 | 336 | 312 | 648 | 116 | 313 | 36 | 15 | 280 | 76 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | ACL Giants | — | 202 | 172 | 23 | 5 | 1 | 2 | 24 | 108 | 4 | 8 | 3 | 134 | 255 | 209 | 464 | 76 | 301 | 53 | 12 | 210 | 28 | — | — | — | — | — | — |
| 2025 | 20 | ROK MLE | 2 teams | — | 284 | 245 | 42 | 10 | 1 | 6 | 30 | 130 | 7 | 20 | 5 | 171 | 280 | 294 | 574 | 122 | 313 | 46 | 11 | 260 | 62 | — | — | — | — | — | — |
| 2026 | 21 | A MLE | San Jose Giants | — | 460 | 403 | 82 | 20 | 3 | 11 | 50 | 208 | 4 | 21 | 6 | 203 | 297 | 350 | 647 | 146 | 378 | 45 | 11 | 284 | 78 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 19 | ROK MLE | ACL Giants | — | 202 | 172 | 23 | 5 | 1 | 2 | 24 | 108 | 4 | 8 | 3 | 134 | 255 | 209 | 464 | 76 | 301 | 53 | 12 | 210 | 28 | — | — | — | — | — | — |
| 2025 | 20 | ROK MLE | 2 teams | — | 284 | 245 | 42 | 10 | 1 | 6 | 30 | 130 | 7 | 20 | 5 | 171 | 280 | 294 | 574 | 122 | 313 | 46 | 11 | 260 | 62 | — | — | — | — | — | — |
| 2026 | 21 | A MLE | San Jose Giants | — | 460 | 403 | 82 | 20 | 3 | 11 | 50 | 208 | 4 | 21 | 6 | 203 | 297 | 350 | 647 | 146 | 378 | 45 | 11 | 284 | 78 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 22 | MLB MLE | SF | 0% | 570 | 498 | 87 | 20 | 3 | 12 | 61 | 234 | 6 | 14 | 4 | 175 | 273 | 301 | 574 | 126 | 292 | 41 | 11 | 263 | 64 | -24 | +1 | +0 | +2 | +12 | -0.3 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 23 | MLB MLE | SF | 34% | 417 | 365 | 67 | 15 | 2 | 11 | 45 | 166 | 4 | 10 | 3 | 183 | 280 | 324 | 603 | 140 | 293 | 40 | 11 | 275 | 72 | -14 | +1 | +0 | +1 | +9 | -0.3 |
| 2029 | 24 | MLB MLE | SF | 46% | 465 | 407 | 76 | 16 | 2 | 13 | 50 | 180 | 5 | 12 | 3 | 190 | 285 | 340 | 625 | 150 | 294 | 39 | 11 | 283 | 78 | -12 | +1 | +0 | +2 | +10 | 0.1 |
| 2030 | 25 | MLB MLE | SF | 52% | 513 | 449 | 88 | 18 | 3 | 16 | 54 | 195 | 5 | 13 | 3 | 194 | 289 | 351 | 640 | 157 | 295 | 38 | 11 | 288 | 81 | -11 | +1 | +0 | +2 | +11 | 0.3 |
| 2031 | 26 | MLB MLE | SF | 54% | 527 | 462 | 92 | 19 | 3 | 17 | 55 | 196 | 5 | 13 | 4 | 198 | 291 | 358 | 649 | 160 | 294 | 37 | 10 | 292 | 84 | -10 | +1 | +0 | +2 | +11 | 0.4 |
| 2032 | 27 | MLB MLE | SF | 54% | 530 | 465 | 93 | 19 | 3 | 17 | 55 | 194 | 5 | 13 | 4 | 199 | 292 | 358 | 649 | 159 | 293 | 37 | 10 | 292 | 84 | -10 | +1 | +0 | +2 | +11 | 0.4 |
| 2033 | 28 | MLB MLE | SF | 54% | 526 | 461 | 91 | 19 | 2 | 16 | 55 | 193 | 5 | 11 | 3 | 197 | 290 | 353 | 643 | 156 | 292 | 37 | 10 | 289 | 82 | -11 | +1 | -1 | +2 | +11 | 0.2 |
| 2034 | 29 | MLB MLE | SF | 58% | 515 | 452 | 87 | 18 | 2 | 15 | 53 | 191 | 5 | 10 | 3 | 195 | 287 | 347 | 633 | 152 | 290 | 37 | 10 | 286 | 80 | -13 | +1 | -1 | +2 | +11 | -0.0 |
| 2035 | 30 | MLB MLE | SF | 60% | 502 | 440 | 84 | 18 | 2 | 14 | 52 | 188 | 5 | 8 | 3 | 191 | 283 | 339 | 621 | 147 | 287 | 37 | 10 | 281 | 76 | -14 | +0 | -2 | +2 | +11 | -0.3 |
| 2028 | 23 | MLB CTX | SF | 34% | 143 | 126 | 22 | 5 | 1 | 3 | 15 | 57 | 1 | 4 | 1 | 179 | 277 | 313 | 590 | 134 | 289 | 40 | 10 | 269 | 72 | -5 | +0 | +0 | +1 | +3 | -0.1 |
| 2029 | 24 | MLB CTX | SF | 46% | 215 | 188 | 36 | 8 | 1 | 6 | 23 | 83 | 2 | 5 | 1 | 186 | 282 | 329 | 610 | 143 | 290 | 39 | 11 | 277 | 78 | -6 | +1 | +0 | +1 | +5 | 0.0 |
| 2030 | 25 | MLB CTX | SF | 52% | 265 | 232 | 44 | 10 | 1 | 7 | 28 | 100 | 3 | 7 | 2 | 190 | 285 | 339 | 624 | 149 | 290 | 38 | 11 | 282 | 81 | -6 | +1 | +0 | +1 | +6 | 0.1 |
| 2031 | 26 | MLB CTX | SF | 54% | 286 | 251 | 47 | 10 | 1 | 8 | 30 | 106 | 3 | 7 | 2 | 193 | 287 | 346 | 633 | 152 | 290 | 37 | 10 | 286 | 84 | -6 | +1 | +0 | +1 | +6 | 0.2 |
| 2032 | 27 | MLB CTX | SF | 54% | 288 | 253 | 48 | 10 | 1 | 8 | 30 | 105 | 3 | 7 | 2 | 195 | 288 | 346 | 633 | 151 | 289 | 36 | 10 | 286 | 84 | -6 | +1 | +0 | +1 | +6 | 0.2 |
| 2033 | 28 | MLB CTX | SF | 54% | 285 | 250 | 48 | 10 | 1 | 8 | 30 | 105 | 3 | 6 | 2 | 193 | 286 | 341 | 627 | 148 | 288 | 37 | 11 | 283 | 82 | -6 | +0 | -0 | +1 | +6 | 0.1 |
| 2034 | 29 | MLB CTX | SF | 58% | 297 | 261 | 50 | 11 | 1 | 8 | 31 | 110 | 3 | 6 | 2 | 190 | 283 | 335 | 618 | 144 | 286 | 37 | 10 | 280 | 80 | -7 | +0 | -1 | +1 | +6 | -0.0 |
| 2035 | 30 | MLB CTX | SF | 60% | 301 | 264 | 50 | 11 | 1 | 8 | 31 | 112 | 3 | 5 | 2 | 187 | 279 | 327 | 607 | 140 | 283 | 37 | 10 | 275 | 76 | -8 | +0 | -1 | +1 | +7 | -0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 2080 | 1825 | 345 | 75 | 8 | 56 | 218 | 778 | 21 | 47 | 14 | 189 | 283 | 331 | 614 | 142 | 289 | 37 | 10 | 281 | 76 | -49 | +4 | -2 | +7 | +45 | 0.5 | |
| / 162G | — | A+C | — | 650 | 570 | 107 | 23 | 2 | 18 | 68 | 243 | 7 | 15 | 4 | 188 | 282 | 330 | 612 | 142 | 285 | 37 | 10 | 281 | 76 | -15 | +1 | -1 | +2 | +14 | 0.1 | |
| Career | — | MLE | — | 5288 | 4619 | 879 | 189 | 26 | 145 | 566 | 2085 | 59 | 156 | 41 | 190 | 287 | 337 | 623 | 146 | 304 | 39 | 11 | 281 | 76 | -105 | +8 | -4 | +15 | +91 | 0.5 | |
| / 162G | — | MLE | — | 650 | 568 | 108 | 23 | 3 | 18 | 70 | 256 | 7 | 19 | 5 | 190 | 287 | 336 | 623 | 146 | 303 | 39 | 11 | 281 | 76 | -16 | +1 | -1 | +2 | +14 | 0.1 | |
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 ASan Jose Giants · 460 PAwOBA .379 → .284 (−95)K% 33.3% → 45.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.26% | ÷1.000 | ×1.360 | — | — | 45.23% |
| BB% (unintentional) /PA | 15.43% | ÷1.000 | ×0.690 | — | ×1.015 | 10.81% |
| HBP% /PA | 0.87% | — | ×0.780 | — | ×1.015 | 0.69% |
| Singles /BIP | 25.65% | ÷1.000 | ×0.920 | ×1.015 | ×1.015 | 24.31% |
| Doubles /BIP | 11.74% | ÷1.000 | ×0.830 | ×1.015 | ×1.015 | 10.04% |
| Triples /BIP | 1.74% | ÷1.000 | ×0.910 | ×1.015 | ×1.015 | 1.63% |
| Home runs /BIP | 6.52% | ÷1.000 | ×0.800 | — | ×1.015 | 5.30% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.015.
Result: wOBA .379 → .284; ISO .209 → .152; BABIP .417 → .378. 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 Giants · 227 PAwOBA .426 → .287 (−140)K% 31.7% → 43.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.72% | ÷1.045 | ×1.440 | — | — | 43.69% |
| BB% (unintentional) /PA | 17.62% | ÷1.070 | ×0.620 | — | ×0.995 | 10.16% |
| HBP% /PA | 3.08% | — | ×0.720 | — | ×0.995 | 2.21% |
| Singles /BIP | 27.36% | ÷1.042 | ×0.820 | ×1.050 | ×0.995 | 22.50% |
| Doubles /BIP | 11.32% | ÷1.001 | ×0.720 | ×1.050 | ×0.995 | 8.51% |
| Triples /BIP | 1.89% | ÷1.150 | ×0.720 | ×1.050 | ×0.995 | 1.23% |
| Home runs /BIP | 9.43% | ÷1.128 | ×0.780 | — | ×0.995 | 6.49% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 108, 2B 100, 3B 130, K 109, BB 114 — 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 ×1.050.
Result: wOBA .426 → .287; ISO .258 → .171; BABIP .443 → .341. 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 ASan Jose Giants · 57 PAwOBA .233 → .153 (−80)K% 38.6% → 54.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 38.60% | ÷0.962 | ×1.360 | — | — | 54.59% |
| BB% (unintentional) /PA | 17.54% | ÷1.055 | ×0.690 | — | ×1.030 | 11.82% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.030 | 0.00% |
| Singles /BIP | 12.00% | ÷1.007 | ×0.920 | — | ×1.030 | 11.29% |
| Doubles /BIP | 12.00% | ÷1.138 | ×0.830 | — | ×1.030 | 9.01% |
| Triples /BIP | 0.00% | ÷0.902 | ×0.910 | — | ×1.030 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.358 | ×0.800 | — | ×1.030 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 172, 1B 101, 2B 128, 3B 80, K 92, BB 111 — 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 .233 → .153; ISO .064 → .037; BABIP .240 → .203. 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 ROKACL Giants · 202 PAwOBA .330 → .210 (−120)K% 37.1% → 53.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 37.13% | ÷0.997 | ×1.440 | — | — | 53.63% |
| BB% (unintentional) /PA | 20.30% | ÷1.062 | ×0.620 | — | ×1.008 | 11.94% |
| HBP% /PA | 1.98% | — | ×0.720 | — | ×1.008 | 1.44% |
| Singles /BIP | 26.25% | ÷1.003 | ×0.820 | ×1.026 | ×1.008 | 22.17% |
| Doubles /BIP | 8.75% | ÷0.927 | ×0.720 | ×1.026 | ×1.008 | 7.02% |
| Triples /BIP | 1.25% | ÷0.900 | ×0.720 | ×1.026 | ×1.008 | 1.03% |
| Home runs /BIP | 3.75% | ÷1.178 | ×0.780 | — | ×1.008 | 2.50% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 136, 1B 101, 2B 85, 3B 80, K 99, BB 112 — 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 ×1.026.
Result: wOBA .330 → .210; ISO .116 → .071; BABIP .367 → .301. 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 DSLDSL Giants Orange · 137 PAwOBA .411 → .280 (−131)K% 29.9% → 36.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.93% | ÷0.997 | ×1.220 | — | — | 36.63% |
| BB% (unintentional) /PA | 21.90% | ÷1.027 | ×0.700 | — | ×1.008 | 15.04% |
| HBP% /PA | 2.19% | — | ×0.700 | — | ×1.008 | 1.54% |
| Singles /BIP | 28.57% | ÷0.952 | ×0.680 | ×1.050 | ×1.008 | 21.59% |
| Doubles /BIP | 12.70% | ÷0.993 | ×0.600 | ×1.050 | ×1.008 | 8.11% |
| Triples /BIP | 1.59% | ÷1.150 | ×0.600 | ×1.050 | ×1.008 | 0.88% |
| Home runs /BIP | 4.76% | ÷0.949 | ×0.470 | — | ×1.008 | 2.38% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 90, 2B 99, 3B 130, K 99, BB 105 — 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 ×1.050.
Result: wOBA .411 → .280; ISO .183 → .105; BABIP .450 → .313. 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).