Roberto Alvarez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 23 | AATB | 249 | .248/.311/.315 | 0 | 1 | 63 | — | .237/.287/.298 |
| 2023 | 24 | AAATB | 65 | .254/.277/.302 | 1 | 0 | 35 | — | .238/.262/.286 |
| 2024 | 25 | INTLTiburones de … | 23 | .167/.348/.333 | 1 | 0 | 105 | — |
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) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK | DSL Rays 2 | — | 179 | 158 | 46 | 6 | 1 | 0 | 13 | 25 | 6 | 2 | 2 | 291 | 367 | 342 | 709 | 51 | 341 | 14 | 7 | 325 | 42 | — | — | — | — | — | — |
| 2017 | 18 | ROK | GCL Rays | — | 150 | 136 | 30 | 5 | 1 | 0 | 7 | 22 | 4 | 2 | 0 | 221 | 279 | 272 | 551 | 51 | 261 | 15 | 5 | 251 | 19 | — | — | — | — | — | — |
| 2018 | 19 | ROK | Princeton Rays | — | 177 | 169 | 54 | 12 | 1 | 2 | 8 | 16 | 0 | 2 | 1 | 320 | 350 | 438 | 788 | 118 | 344 | 9 | 5 | 351 | 74 | — | — | — | — | — | — |
| 2019 | 20 | A | Bowling Green Hot Rods | — | 406 | 377 | 94 | 13 | 3 | 3 | 17 | 70 | 7 | 2 | 0 | 249 | 294 | 324 | 618 | 74 | 295 | 17 | 4 | 277 | 35 | — | — | — | — | — | — |
| 2019 | 20 | INTL | Perth Heat | — | 101 | 96 | 25 | 2 | 0 | 0 | 4 | 19 | 0 | 1 | 0 | 260 | 290 | 281 | 571 | 21 | 321 | 19 | 4 | 259 | 62 | — | — | — | — | — | — |
| 2021 | 22 | A+ | Bowling Green Hot Rods | — | 96 | 78 | 26 | 4 | 0 | 1 | 14 | 14 | 4 | 1 | 0 | 333 | 458 | 423 | 881 | 90 | 397 | 15 | 15 | 406 | 126 | — | — | — | — | — | — |
| 2021 | 22 | ROK | FCL Rays | — | 25 | 21 | 3 | 0 | 0 | 0 | 4 | 7 | 0 | 0 | 0 | 143 | 280 | 143 | 423 | 214 | 28 | 16 | 220 | -17 | — | — | — | — | — | — | |
| 2022 | 23 | AA | Montgomery Biscuits | — | 249 | 222 | 55 | 9 | 3 | 0 | 16 | 42 | 5 | 1 | 3 | 248 | 311 | 315 | 627 | 68 | 299 | 17 | 6 | 282 | 63 | — | — | — | — | — | — |
| 2023 | 24 | AAA | Durham Bulls | — | 65 | 63 | 16 | 0 | 0 | 1 | 1 | 18 | 1 | 0 | 0 | 254 | 277 | 302 | 579 | 48 | 341 | 28 | 2 | 263 | 35 | — | — | — | — | — | — |
| 2024 | 25 | INTL | Tiburones de La Guaira | — | 23 | 18 | 3 | 0 | 0 | 1 | 3 | 2 | 2 | 0 | 0 | 167 | 348 | 333 | 681 | 167 | 133 | 9 | 13 | 324 | 105 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK MLE | DSL Rays 2 | — | 179 | 162 | 34 | 4 | 1 | 0 | 9 | 30 | 6 | 2 | 2 | 210 | 277 | 247 | 524 | 37 | 244 | 17 | 5 | 231 | 42 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | GCL Rays | — | 150 | 138 | 26 | 4 | 1 | 0 | 4 | 32 | 4 | 2 | 0 | 188 | 231 | 232 | 463 | 43 | 224 | 21 | 3 | 196 | 19 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | Princeton Rays | — | 177 | 172 | 46 | 9 | 1 | 2 | 5 | 23 | 0 | 2 | 1 | 267 | 288 | 366 | 654 | 99 | 296 | 13 | 3 | 277 | 74 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | Bowling Green Hot Rods | — | 406 | 382 | 79 | 9 | 2 | 2 | 12 | 101 | 7 | 2 | 0 | 207 | 244 | 257 | 501 | 50 | 266 | 25 | 3 | 220 | 35 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | Bowling Green Hot Rods | — | 96 | 82 | 25 | 3 | 0 | 1 | 10 | 18 | 4 | 1 | 0 | 305 | 406 | 378 | 784 | 73 | 385 | 19 | 10 | 354 | 126 | — | — | — | — | — | — |
| 2021 | 22 | ROK MLE | FCL Rays | — | 25 | 23 | 2 | 0 | 0 | 0 | 2 | 10 | 0 | 0 | 0 | 87 | 160 | 87 | 247 | 173 | 40 | 8 | 143 | -17 | — | — | — | — | — | — | |
| 2022 | 23 | AA MLE | Montgomery Biscuits | — | 249 | 228 | 54 | 8 | 3 | 0 | 11 | 50 | 5 | 1 | 3 | 237 | 287 | 298 | 585 | 61 | 292 | 20 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2023 | 24 | AAA MLE | Durham Bulls | — | 65 | 63 | 15 | 0 | 0 | 1 | 1 | 21 | 1 | 0 | 0 | 238 | 262 | 286 | 547 | 48 | 328 | 32 | 2 | 220 | 35 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Rays 2 | — | 179 | 162 | 34 | 4 | 1 | 0 | 9 | 30 | 6 | 2 | 2 | 210 | 277 | 247 | 524 | 37 | 254 | 17 | 5 | 231 | 42 | — | — | — | — | — | — |
| 2016 | 17 | ROK RAW | DSL Rays 2 | — | 179 | 158 | 46 | 6 | 1 | 0 | 13 | 25 | 6 | 2 | 2 | 291 | 367 | 342 | 709 | 51 | 341 | 14 | 7 | 325 | 42 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | GCL Rays | — | 150 | 139 | 26 | 4 | 1 | 0 | 4 | 32 | 4 | 2 | 0 | 187 | 231 | 230 | 462 | 43 | 241 | 21 | 3 | 196 | 19 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | GCL Rays | — | 150 | 136 | 30 | 5 | 1 | 0 | 7 | 22 | 4 | 2 | 0 | 221 | 279 | 272 | 551 | 51 | 261 | 15 | 5 | 251 | 19 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | Princeton Rays | — | 177 | 172 | 46 | 9 | 1 | 2 | 5 | 23 | 0 | 2 | 1 | 267 | 288 | 366 | 654 | 99 | 299 | 13 | 3 | 277 | 74 | — | — | — | — | — | — |
| 2018 | 19 | ROK RAW | Princeton Rays | — | 177 | 169 | 54 | 12 | 1 | 2 | 8 | 16 | 0 | 2 | 1 | 320 | 350 | 438 | 788 | 118 | 344 | 9 | 5 | 351 | 74 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | 2 teams | — | 507 | 479 | 98 | 11 | 3 | 2 | 15 | 126 | 7 | 3 | 0 | 205 | 240 | 253 | 492 | 48 | 270 | 25 | 3 | 220 | 35 | — | — | — | — | — | — |
| 2019 | 20 | A RAW | 2 teams | — | 507 | 473 | 119 | 15 | 3 | 3 | 21 | 89 | 7 | 3 | 0 | 252 | 293 | 315 | 608 | 63 | 301 | 18 | 4 | 274 | 35 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 121 | 105 | 28 | 3 | 0 | 1 | 12 | 28 | 4 | 1 | 0 | 267 | 364 | 324 | 687 | 57 | 355 | 23 | 10 | 310 | 96 | — | — | — | — | — | — |
| 2021 | 22 | A+ RAW | 2 teams | — | 121 | 99 | 29 | 4 | 0 | 1 | 18 | 21 | 4 | 1 | 0 | 293 | 421 | 364 | 785 | 71 | 364 | 17 | 15 | 367 | 96 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | Montgomery Biscuits | — | 249 | 228 | 54 | 8 | 3 | 0 | 11 | 50 | 5 | 1 | 3 | 237 | 287 | 298 | 585 | 61 | 297 | 20 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2022 | 23 | AA RAW | Montgomery Biscuits | — | 249 | 222 | 55 | 9 | 3 | 0 | 16 | 42 | 5 | 1 | 3 | 248 | 311 | 315 | 627 | 68 | 299 | 17 | 6 | 282 | 63 | — | — | — | — | — | — |
| 2023 | 24 | AAA MLE | Durham Bulls | — | 65 | 63 | 15 | 0 | 0 | 1 | 1 | 21 | 1 | 0 | 0 | 238 | 262 | 286 | 547 | 48 | 341 | 32 | 2 | 220 | 35 | — | — | — | — | — | — |
| 2023 | 24 | AAA RAW | Durham Bulls | — | 65 | 63 | 16 | 0 | 0 | 1 | 1 | 18 | 1 | 0 | 0 | 254 | 277 | 302 | 579 | 48 | 341 | 28 | 2 | 263 | 35 | — | — | — | — | — | — |
| 2024 | 25 | INTL MLE | Tiburones de La Guaira | — | 23 | 18 | 3 | 0 | 0 | 1 | 3 | 2 | 2 | 0 | 0 | 167 | 348 | 333 | 681 | 167 | 133 | 9 | 13 | — | — | — | — | — | — | — | — |
| 2024 | 25 | INTL RAW | Tiburones de La Guaira | — | 23 | 18 | 3 | 0 | 0 | 1 | 3 | 2 | 2 | 0 | 0 | 167 | 348 | 333 | 681 | 167 | 133 | 9 | 13 | 324 | 105 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Rays 2 | — | 179 | 162 | 34 | 4 | 1 | 0 | 9 | 30 | 6 | 2 | 2 | 210 | 277 | 247 | 524 | 37 | 244 | 17 | 5 | 231 | 42 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | GCL Rays | — | 150 | 141 | 26 | 4 | 1 | 0 | 4 | 32 | 4 | 2 | 0 | 184 | 231 | 227 | 458 | 43 | 224 | 21 | 3 | 196 | 19 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | Princeton Rays | — | 177 | 170 | 46 | 9 | 1 | 2 | 5 | 23 | 0 | 2 | 1 | 271 | 288 | 371 | 659 | 100 | 296 | 13 | 3 | 277 | 74 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | 2 teams | — | 507 | 480 | 98 | 11 | 3 | 2 | 15 | 126 | 7 | 3 | 0 | 204 | 240 | 252 | 492 | 48 | 266 | 25 | 3 | 220 | 35 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 121 | 104 | 28 | 3 | 0 | 1 | 12 | 28 | 4 | 1 | 0 | 269 | 364 | 327 | 691 | 58 | 341 | 23 | 10 | 310 | 96 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | Montgomery Biscuits | — | 249 | 231 | 54 | 8 | 3 | 0 | 11 | 50 | 5 | 1 | 3 | 234 | 287 | 294 | 581 | 61 | 292 | 20 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2023 | 24 | AAA MLE | Durham Bulls | — | 65 | 63 | 15 | 0 | 0 | 1 | 1 | 21 | 1 | 0 | 0 | 238 | 262 | 286 | 547 | 48 | 328 | 32 | 2 | 220 | 35 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1471 | 1366 | 304 | 39 | 9 | 7 | 60 | 312 | 29 | 11 | 6 | 223 | 270 | 280 | 550 | 57 | 280 | 21 | 4 | 237 | 46 | -94 | -0 | +0 | +26 | +32 | -3.7 | |
| / 162G | — | MLE | — | 650 | 604 | 134 | 17 | 4 | 3 | 27 | 138 | 13 | 5 | 3 | 222 | 271 | 278 | 549 | 56 | 280 | 21 | 4 | 237 | 46 | -41 | -0 | +0 | +12 | +14 | -1.6 | |
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.
2023 AAADurham Bulls · 65 PAwOBA .256 → .220 (−35)K% 27.7% → 32.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.69% | ÷1.009 | ×1.200 | — | — | 32.95% |
| BB% (unintentional) /PA | 1.54% | ÷1.011 | ×0.690 | — | ×1.048 | 1.10% |
| HBP% /PA | 1.54% | — | ×0.940 | — | ×1.048 | 1.52% |
| Singles /BIP | 33.33% | ÷1.006 | ×0.930 | — | ×1.048 | 32.29% |
| Doubles /BIP | 0.00% | ÷1.020 | ×0.830 | — | ×1.048 | 0.00% |
| Triples /BIP | 0.00% | ÷1.003 | ×0.970 | — | ×1.048 | 0.00% |
| Home runs /BIP | 2.22% | ÷1.137 | ×0.700 | — | ×1.048 | 1.43% |
Factors used: league row International League. Park (home-season share, regressed): HR 127, 1B 101, 2B 104, 3B 101, K 102, BB 102 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).
Result: wOBA .256 → .220; ISO .048 → .029; BABIP .341 → .328. 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 AAMontgomery Biscuits · 249 PAwOBA .279 → .262 (−17)K% 16.9% → 19.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.87% | ÷1.032 | ×1.220 | — | — | 19.94% |
| BB% (unintentional) /PA | 6.43% | ÷0.984 | ×0.680 | — | ×1.027 | 4.56% |
| HBP% /PA | 2.01% | — | ×0.840 | — | ×1.027 | 1.73% |
| Singles /BIP | 23.89% | ÷1.001 | ×0.920 | ×1.050 | ×1.027 | 23.68% |
| Doubles /BIP | 5.00% | ÷1.090 | ×0.910 | ×1.050 | ×1.027 | 4.50% |
| Triples /BIP | 1.67% | ÷0.955 | ×0.880 | ×1.050 | ×1.027 | 1.66% |
| Home runs /BIP | 0.00% | ÷0.970 | ×0.800 | — | ×1.027 | 0.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 94, 1B 100, 2B 118, 3B 91, K 106, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .279 → .262; ISO .068 → .065; BABIP .299 → .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).
2021 A+Bowling Green Hot Rods · 96 PAwOBA .393 → .354 (−39)K% 14.6% → 19.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.58% | ÷1.027 | ×1.350 | — | — | 19.17% |
| BB% (unintentional) /PA | 13.54% | ÷0.953 | ×0.710 | — | ×1.012 | 10.21% |
| HBP% /PA | 4.17% | — | ×0.810 | — | ×1.012 | 3.42% |
| Singles /BIP | 32.81% | ÷0.957 | ×0.910 | ×1.050 | ×1.012 | 33.14% |
| Doubles /BIP | 6.25% | ÷1.135 | ×0.830 | ×1.050 | ×1.012 | 4.86% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.820 | ×1.050 | ×1.012 | 0.00% |
| Home runs /BIP | 1.56% | ÷0.978 | ×0.830 | — | ×1.012 | 1.34% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 91, 2B 127, 3B 130, K 105, BB 91 — 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 ×1.050.
Result: wOBA .393 → .354; ISO .090 → .073; BABIP .397 → .385. 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 ROKFCL Rays · 25 PAwOBA .216 → .143 (−73)K% 28.0% → 40.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.00% | ÷1.005 | ×1.440 | — | — | 40.10% |
| BB% (unintentional) /PA | 16.00% | ÷0.999 | ×0.620 | — | ×0.975 | 9.69% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 21.43% | ÷0.990 | ×0.820 | — | ×0.975 | 17.30% |
| Doubles /BIP | 0.00% | ÷1.006 | ×0.720 | — | ×0.975 | 0.00% |
| Triples /BIP | 0.00% | ÷1.065 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.948 | ×0.780 | — | ×0.975 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 98, 2B 101, 3B 113, K 101, BB 100 — 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).
Result: wOBA .216 → .143; ISO .000 → .000; BABIP .214 → .173. 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).
2019 ABowling Green Hot Rods · 406 PAwOBA .273 → .220 (−52)K% 17.2% → 24.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.24% | ÷0.944 | ×1.360 | — | — | 24.84% |
| BB% (unintentional) /PA | 4.19% | ÷1.012 | ×0.690 | — | ×1.030 | 2.94% |
| HBP% /PA | 1.72% | — | ×0.780 | — | ×1.030 | 1.39% |
| Singles /BIP | 24.43% | ÷0.960 | ×0.920 | ×0.950 | ×1.030 | 22.92% |
| Doubles /BIP | 4.23% | ÷1.103 | ×0.830 | ×0.950 | ×1.030 | 3.12% |
| Triples /BIP | 0.98% | ÷1.124 | ×0.910 | ×0.950 | ×1.030 | 0.77% |
| Home runs /BIP | 0.98% | ÷1.270 | ×0.800 | — | ×1.030 | 0.63% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 92, 2B 121, 3B 125, K 89, BB 102 — 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 .273 → .220; ISO .074 → .050; BABIP .295 → .266. 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).
2018 ROKPrinceton Rays · 177 PAwOBA .341 → .277 (−64)K% 9.0% → 12.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.04% | ÷1.000 | ×1.420 | — | — | 12.84% |
| BB% (unintentional) /PA | 4.52% | ÷1.000 | ×0.640 | — | ×1.008 | 2.91% |
| HBP% /PA | 0.00% | — | ×0.740 | — | ×1.008 | 0.00% |
| Singles /BIP | 25.49% | ÷1.000 | ×0.840 | ×1.050 | ×1.008 | 22.65% |
| Doubles /BIP | 7.84% | ÷1.000 | ×0.740 | ×1.050 | ×1.008 | 6.14% |
| Triples /BIP | 0.65% | ÷1.000 | ×0.740 | ×1.050 | ×1.008 | 0.51% |
| Home runs /BIP | 1.31% | ÷1.000 | ×0.800 | — | ×1.008 | 1.05% |
Factors used: level-wide ROK 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 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 ×1.050.
Result: wOBA .341 → .277; ISO .118 → .091; BABIP .344 → .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).
2017 ROKGCL Rays · 150 PAwOBA .246 → .196 (−50)K% 14.7% → 21.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.67% | ÷1.000 | ×1.440 | — | — | 21.12% |
| BB% (unintentional) /PA | 4.67% | ÷1.000 | ×0.620 | — | ×1.022 | 2.96% |
| HBP% /PA | 2.67% | — | ×0.720 | — | ×1.022 | 1.96% |
| Singles /BIP | 21.05% | ÷1.000 | ×0.820 | ×1.050 | ×1.022 | 18.53% |
| Doubles /BIP | 4.39% | ÷1.000 | ×0.720 | ×1.050 | ×1.022 | 3.39% |
| Triples /BIP | 0.88% | ÷1.000 | ×0.720 | ×1.050 | ×1.022 | 0.68% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.022 | 0.00% |
Factors used: level-wide ROK 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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .246 → .196; ISO .051 → .039; BABIP .261 → .224. 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).
2016 DSLDSL Rays 2 · 179 PAwOBA .320 → .231 (−89)K% 14.0% → 17.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.97% | ÷1.000 | ×1.220 | — | — | 17.04% |
| BB% (unintentional) /PA | 7.26% | ÷1.000 | ×0.700 | — | ×1.022 | 5.20% |
| HBP% /PA | 3.35% | — | ×0.700 | — | ×1.022 | 2.40% |
| Singles /BIP | 29.32% | ÷1.000 | ×0.680 | ×1.050 | ×1.022 | 21.41% |
| Doubles /BIP | 4.51% | ÷1.000 | ×0.600 | ×1.050 | ×1.022 | 2.91% |
| Triples /BIP | 0.75% | ÷1.000 | ×0.600 | ×1.050 | ×1.022 | 0.48% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×1.022 | 0.00% |
Factors used: level-wide DSL 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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .320 → .231; ISO .051 → .033; BABIP .341 → .244. 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 — .