Lorenzo Quintana
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 30 | AAA/AA/INTL3 orgs | 475 | .291/.344/.495 | 21 | 4 | 91 | — | .226/.265/.402 |
| 2021 | 32 | AAAMIA | 339 | .300/.362/.463 | 9 | 2 | 86 | — | .254/.303/.378 |
| 2022 | 33 | AAAMIA | 265 | .246/.309/.479 | 14 | 0 | 55 | — | .187/.237/.346 |
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) | |||||||||||||||||||||||||||||||
| 2018 | 29 | AA | Corpus Christi Hooks | — | 266 | 244 | 62 | 19 | 2 | 11 | 15 | 47 | 7 | 7 | 4 | 254 | 316 | 484 | 799 | 230 | 274 | 18 | 6 | 351 | 57 | — | — | — | — | — | — |
| 2018 | 29 | INTL | Cangrejeros de Santurce | — | 19 | 15 | 1 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0 | 67 | 222 | 67 | 289 | 83 | 21 | 11 | 160 | -6 | — | — | — | — | — | — | |
| 2019 | 30 | AAA | Round Rock Express | — | 122 | 110 | 29 | 4 | 0 | 6 | 5 | 24 | 4 | 2 | 3 | 264 | 319 | 464 | 783 | 200 | 277 | 20 | 4 | 338 | 70 | — | — | — | — | — | — |
| 2019 | 30 | AA | Corpus Christi Hooks | — | 179 | 168 | 54 | 12 | 1 | 11 | 8 | 39 | 3 | 1 | 0 | 321 | 363 | 601 | 964 | 280 | 364 | 22 | 4 | 418 | 86 | — | — | — | — | — | — |
| 2019 | 30 | INTL | Caneros de los Mochis | — | 174 | 158 | 44 | 8 | 0 | 4 | 12 | 28 | 3 | 1 | 1 | 278 | 341 | 405 | 746 | 127 | 315 | 16 | 7 | 334 | 112 | — | — | — | — | — | — |
| 2021 | 32 | AAA | Jacksonville Jumbo Shrimp | — | 339 | 307 | 92 | 17 | 3 | 9 | 23 | 64 | 7 | 2 | 0 | 300 | 362 | 463 | 825 | 163 | 352 | 19 | 7 | 365 | 86 | — | — | — | — | — | — |
| 2022 | 33 | AAA | Jacksonville Jumbo Shrimp | — | 265 | 240 | 59 | 12 | 1 | 14 | 17 | 55 | 5 | 0 | 0 | 246 | 309 | 479 | 788 | 233 | 259 | 21 | 6 | 342 | 55 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 29 | AA MLE | Corpus Christi Hooks | — | 266 | 249 | 47 | 13 | 2 | 8 | 10 | 57 | 7 | 7 | 4 | 189 | 241 | 353 | 594 | 165 | 211 | 21 | 4 | 252 | 57 | — | — | — | — | — | — |
| 2019 | 30 | AAA MLE | Round Rock Express | — | 122 | 112 | 24 | 3 | 0 | 5 | 3 | 30 | 4 | 2 | 3 | 214 | 261 | 375 | 636 | 161 | 230 | 25 | 2 | 272 | 70 | — | — | — | — | — | — |
| 2019 | 30 | AA MLE | Corpus Christi Hooks | — | 179 | 171 | 40 | 9 | 1 | 7 | 5 | 50 | 3 | 1 | 0 | 234 | 268 | 421 | 689 | 187 | 289 | 28 | 3 | 296 | 86 | — | — | — | — | — | — |
| 2021 | 32 | AAA MLE | Jacksonville Jumbo Shrimp | — | 339 | 315 | 80 | 14 | 2 | 7 | 15 | 78 | 7 | 2 | 0 | 254 | 303 | 378 | 680 | 124 | 312 | 23 | 4 | 296 | 86 | — | — | — | — | — | — |
| 2022 | 33 | AAA MLE | Jacksonville Jumbo Shrimp | — | 265 | 246 | 46 | 10 | 1 | 9 | 11 | 68 | 5 | 0 | 0 | 187 | 237 | 346 | 582 | 159 | 211 | 26 | 4 | 250 | 55 | — | — | — | — | — | — |
| 2018 | 29 | AA MLE | 2 teams | — | 285 | 266 | 50 | 14 | 2 | 8 | 10 | 62 | 8 | 7 | 4 | 188 | 239 | 346 | 585 | 158 | 213 | 22 | 4 | 252 | 57 | — | — | — | — | — | — |
| 2018 | 29 | AA RAW | 2 teams | — | 285 | 259 | 63 | 19 | 2 | 11 | 17 | 51 | 8 | 7 | 4 | 243 | 310 | 459 | 769 | 216 | 263 | 18 | 6 | 338 | 57 | — | — | — | — | — | — |
| 2019 | 30 | AA MLE | 3 teams | — | 475 | 448 | 101 | 19 | 1 | 19 | 13 | 126 | 10 | 4 | 4 | 225 | 263 | 400 | 663 | 174 | 267 | 27 | 3 | 286 | 80 | — | — | — | — | — | — |
| 2019 | 30 | AA RAW | 3 teams | — | 475 | 436 | 127 | 24 | 1 | 21 | 25 | 91 | 10 | 4 | 4 | 291 | 344 | 495 | 839 | 204 | 323 | 19 | 5 | 367 | 80 | — | — | — | — | — | — |
| 2021 | 32 | AAA MLE | Jacksonville Jumbo Shrimp | — | 339 | 315 | 80 | 14 | 2 | 7 | 15 | 78 | 7 | 2 | 0 | 254 | 303 | 378 | 680 | 124 | 315 | 23 | 4 | 296 | 86 | — | — | — | — | — | — |
| 2021 | 32 | AAA RAW | Jacksonville Jumbo Shrimp | — | 339 | 307 | 92 | 17 | 3 | 9 | 23 | 64 | 7 | 2 | 0 | 300 | 362 | 463 | 825 | 163 | 352 | 19 | 7 | 365 | 86 | — | — | — | — | — | — |
| 2022 | 33 | AAA MLE | Jacksonville Jumbo Shrimp | — | 265 | 246 | 46 | 10 | 1 | 9 | 11 | 68 | 5 | 0 | 0 | 187 | 237 | 346 | 582 | 159 | 215 | 26 | 4 | 250 | 55 | — | — | — | — | — | — |
| 2022 | 33 | AAA RAW | Jacksonville Jumbo Shrimp | — | 265 | 240 | 59 | 12 | 1 | 14 | 17 | 55 | 5 | 0 | 0 | 246 | 309 | 479 | 788 | 233 | 259 | 21 | 6 | 342 | 55 | — | — | — | — | — | — |
| 2018 | 29 | AA MLE | 2 teams | — | 285 | 265 | 50 | 14 | 2 | 8 | 10 | 62 | 8 | 7 | 4 | 189 | 239 | 347 | 587 | 158 | 211 | 22 | 4 | 252 | 57 | — | — | — | — | — | — |
| 2019 | 30 | AA MLE | 3 teams | — | 475 | 449 | 101 | 19 | 1 | 19 | 13 | 126 | 10 | 4 | 4 | 225 | 263 | 399 | 662 | 174 | 265 | 27 | 3 | 286 | 80 | — | — | — | — | — | — |
| 2021 | 32 | AAA MLE | Jacksonville Jumbo Shrimp | — | 339 | 314 | 80 | 14 | 2 | 7 | 15 | 78 | 7 | 2 | 0 | 255 | 303 | 379 | 682 | 124 | 312 | 23 | 4 | 296 | 86 | — | — | — | — | — | — |
| 2022 | 33 | AAA MLE | Jacksonville Jumbo Shrimp | — | 265 | 247 | 46 | 10 | 1 | 9 | 11 | 68 | 5 | 0 | 0 | 186 | 237 | 344 | 581 | 158 | 211 | 26 | 4 | 250 | 55 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1364 | 1275 | 277 | 57 | 6 | 43 | 49 | 334 | 30 | 13 | 8 | 217 | 263 | 373 | 635 | 155 | 258 | 24 | 4 | 274 | 72 | -46 | -1 | +0 | +24 | +30 | 0.8 | |
| / 162G | — | MLE | — | 650 | 608 | 131 | 27 | 3 | 20 | 23 | 159 | 14 | 6 | 4 | 215 | 260 | 368 | 629 | 153 | 256 | 24 | 4 | 274 | 72 | -22 | -0 | +0 | +12 | +14 | 0.4 | |
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.
2022 AAAJacksonville Jumbo Shrimp · 265 PAwOBA .336 → .250 (−86)K% 20.8% → 25.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.75% | ÷0.966 | ×1.200 | — | — | 25.79% |
| BB% (unintentional) /PA | 6.42% | ÷0.978 | ×0.690 | — | ×0.942 | 4.26% |
| HBP% /PA | 1.89% | — | ×0.940 | — | ×0.942 | 1.67% |
| Singles /BIP | 17.30% | ÷1.054 | ×0.930 | ×0.994 | ×0.942 | 14.29% |
| Doubles /BIP | 6.49% | ÷0.898 | ×0.830 | ×0.994 | ×0.942 | 5.61% |
| Triples /BIP | 0.54% | ÷0.930 | ×0.970 | ×0.994 | ×0.942 | 0.53% |
| Home runs /BIP | 7.57% | ÷1.032 | ×0.700 | — | ×0.942 | 4.84% |
Factors used: league row International League. Park (home-season share, regressed): HR 106, 1B 111, 2B 80, 3B 86, K 93, BB 96 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.
Result: wOBA .336 → .250; ISO .233 → .160; BABIP .259 → .211. 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 AAAJacksonville Jumbo Shrimp · 339 PAwOBA .356 → .296 (−60)K% 18.9% → 23.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.88% | ÷0.985 | ×1.200 | — | — | 23.00% |
| BB% (unintentional) /PA | 6.49% | ÷0.994 | ×0.690 | — | ×0.952 | 4.29% |
| HBP% /PA | 2.06% | — | ×0.940 | — | ×0.952 | 1.85% |
| Singles /BIP | 25.93% | ÷0.971 | ×0.930 | ×1.001 | ×0.952 | 23.65% |
| Doubles /BIP | 7.00% | ÷0.933 | ×0.830 | ×1.001 | ×0.952 | 5.93% |
| Triples /BIP | 1.23% | ÷1.109 | ×0.920 | ×1.001 | ×0.952 | 0.98% |
| Home runs /BIP | 3.70% | ÷0.886 | ×0.700 | — | ×0.952 | 2.79% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 77, 1B 94, 2B 87, 3B 122, K 97, BB 99 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.
Result: wOBA .356 → .296; ISO .163 → .127; BABIP .352 → .312. 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 AACorpus Christi Hooks · 179 PAwOBA .406 → .296 (−110)K% 21.8% → 27.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.79% | ÷0.958 | ×1.220 | — | — | 27.76% |
| BB% (unintentional) /PA | 4.47% | ÷1.043 | ×0.700 | — | ×0.948 | 2.84% |
| HBP% /PA | 1.68% | — | ×0.870 | — | ×0.948 | 1.38% |
| Singles /BIP | 23.26% | ÷1.011 | ×0.920 | ×0.950 | ×0.948 | 19.06% |
| Doubles /BIP | 9.30% | ÷0.949 | ×0.840 | ×0.950 | ×0.948 | 7.42% |
| Triples /BIP | 0.78% | ÷0.995 | ×0.940 | ×0.950 | ×0.948 | 0.66% |
| Home runs /BIP | 8.53% | ÷1.067 | ×0.800 | — | ×0.948 | 6.06% |
Factors used: league row TL. Park (home-season share, regressed): HR 113, 1B 102, 2B 90, 3B 99, K 92, BB 109 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .406 → .296; ISO .280 → .195; BABIP .364 → .289. 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 AAARound Rock Express · 122 PAwOBA .337 → .272 (−65)K% 19.7% → 24.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.67% | ÷1.022 | ×1.290 | — | — | 24.83% |
| BB% (unintentional) /PA | 4.10% | ÷1.030 | ×0.710 | — | ×0.972 | 2.75% |
| HBP% /PA | 3.28% | — | ×0.980 | — | ×0.972 | 3.12% |
| Singles /BIP | 22.09% | ÷0.966 | ×0.900 | ×0.950 | ×0.972 | 19.01% |
| Doubles /BIP | 4.65% | ÷0.995 | ×0.810 | ×0.950 | ×0.972 | 3.50% |
| Triples /BIP | 0.00% | ÷1.126 | ×0.810 | ×0.950 | ×0.972 | 0.00% |
| Home runs /BIP | 6.98% | ÷0.948 | ×0.780 | — | ×0.972 | 5.58% |
Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 93, 2B 99, 3B 125, K 104, BB 106 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .337 → .272; ISO .200 → .156; BABIP .277 → .230. 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 AACorpus Christi Hooks · 266 PAwOBA .341 → .252 (−89)K% 17.7% → 21.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.67% | ÷0.997 | ×1.220 | — | — | 21.62% |
| BB% (unintentional) /PA | 5.64% | ÷1.036 | ×0.700 | — | ×0.958 | 3.65% |
| HBP% /PA | 2.63% | — | ×0.870 | — | ×0.958 | 2.19% |
| Singles /BIP | 15.23% | ÷1.023 | ×0.920 | ×0.950 | ×0.958 | 12.46% |
| Doubles /BIP | 9.64% | ÷1.075 | ×0.840 | ×0.950 | ×0.958 | 6.86% |
| Triples /BIP | 1.02% | ÷0.900 | ×0.940 | ×0.950 | ×0.958 | 0.97% |
| Home runs /BIP | 5.58% | ÷1.059 | ×0.800 | — | ×0.958 | 4.04% |
Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 80, K 99, BB 107 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .341 → .252; ISO .230 → .165; BABIP .274 → .211. 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 — .