Omar Estévez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 21 | AA/ROK/INTL3 orgs | 446 | .283/.353/.399 | 6 | 0 | 77 | — | .240/.290/.347 |
| 2021 | 23 | AAAOklahoma City… | 409 | .199/.285/.307 | 9 | 0 | 39 | — | .180/.245/.258 |
| 2022 | 24 | AAA/INTL2 orgs | 200 | .208/.268/.311 | 3 | 2 | 36 | — | .187/.233/.277 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 18 | A | Great Lakes Loons | — | 508 | 471 | 120 | 32 | 2 | 9 | 26 | 121 | 5 | 3 | 6 | 255 | 301 | 389 | 689 | 134 | 322 | 24 | 5 | 304 | 51 | — | — | — | — | — | — |
| 2017 | 19 | A+ | Rancho Cucamonga Quakes | — | 502 | 457 | 117 | 24 | 3 | 4 | 33 | 97 | 4 | 2 | 2 | 256 | 311 | 348 | 659 | 92 | 314 | 19 | 7 | 294 | 44 | — | — | — | — | — | — |
| 2018 | 20 | A+ | Rancho Cucamonga Quakes | — | 577 | 515 | 143 | 43 | 2 | 15 | 45 | 138 | 5 | 3 | 1 | 278 | 342 | 456 | 798 | 179 | 344 | 24 | 8 | 346 | 63 | — | — | — | — | — | — |
| 2019 | 21 | AA | Tulsa Drillers | — | 336 | 299 | 87 | 24 | 0 | 6 | 31 | 70 | 0 | 0 | 2 | 291 | 358 | 431 | 789 | 140 | 355 | 21 | 9 | 347 | 80 | — | — | — | — | — | — |
| 2019 | 21 | ROK | AZL Dodgers Mota | — | 22 | 20 | 6 | 2 | 0 | 0 | 2 | 8 | 0 | 0 | 0 | 300 | 364 | 400 | 764 | 100 | 500 | 36 | 9 | 345 | 22 | — | — | — | — | — | — |
| 2019 | 21 | INTL | Glendale Desert Dogs | — | 88 | 77 | 19 | 2 | 0 | 0 | 9 | 16 | 1 | 0 | 0 | 247 | 333 | 273 | 606 | 26 | 306 | 18 | 10 | 284 | 78 | — | — | — | — | — | — |
| 2021 | 23 | AAA | Oklahoma City Dodgers | — | 409 | 361 | 72 | 12 | 0 | 9 | 40 | 106 | 3 | 0 | 1 | 199 | 285 | 307 | 592 | 108 | 251 | 26 | 10 | 270 | 39 | — | — | — | — | — | — |
| 2022 | 24 | AAA | Oklahoma City Dodgers | — | 178 | 162 | 35 | 10 | 0 | 3 | 12 | 40 | 2 | 1 | 1 | 216 | 278 | 333 | 612 | 117 | 264 | 22 | 7 | 274 | 41 | — | — | — | — | — | — |
| 2022 | 24 | INTL | Leones de Ponce | — | 22 | 21 | 3 | 0 | 0 | 0 | 1 | 4 | 0 | 1 | 0 | 143 | 182 | 143 | 325 | 176 | 18 | 5 | 155 | -9 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 18 | A MLE | Great Lakes Loons | — | 508 | 479 | 100 | 25 | 2 | 7 | 18 | 166 | 5 | 3 | 6 | 209 | 245 | 313 | 558 | 104 | 294 | 33 | 4 | 243 | 51 | — | — | — | — | — | — |
| 2017 | 19 | A+ MLE | Rancho Cucamonga Quakes | — | 502 | 468 | 98 | 18 | 2 | 3 | 23 | 132 | 4 | 2 | 2 | 209 | 253 | 276 | 528 | 66 | 274 | 26 | 5 | 233 | 44 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | Rancho Cucamonga Quakes | — | 577 | 529 | 112 | 30 | 1 | 13 | 31 | 193 | 5 | 3 | 1 | 212 | 262 | 346 | 608 | 134 | 285 | 33 | 5 | 261 | 63 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | Tulsa Drillers | — | 336 | 308 | 76 | 19 | 0 | 5 | 22 | 90 | 0 | 0 | 2 | 247 | 297 | 357 | 654 | 110 | 313 | 27 | 7 | 286 | 80 | — | — | — | — | — | — |
| 2019 | 21 | ROK MLE | AZL Dodgers Mota | — | 22 | 21 | 3 | 1 | 0 | 0 | 1 | 12 | 0 | 0 | 0 | 143 | 182 | 190 | 372 | 48 | 387 | 55 | 5 | 200 | 22 | — | — | — | — | — | — |
| 2021 | 23 | AAA MLE | Oklahoma City Dodgers | — | 409 | 372 | 67 | 11 | 0 | 6 | 29 | 128 | 3 | 0 | 1 | 180 | 245 | 258 | 503 | 78 | 242 | 31 | 7 | 226 | 39 | — | — | — | — | — | — |
| 2022 | 24 | AAA MLE | Oklahoma City Dodgers | — | 178 | 166 | 31 | 9 | 0 | 2 | 8 | 48 | 2 | 1 | 1 | 187 | 233 | 277 | 510 | 90 | 243 | 27 | 4 | 229 | 41 | — | — | — | — | — | — |
| 2016 | 18 | A MLE | Great Lakes Loons | — | 508 | 479 | 100 | 25 | 2 | 7 | 18 | 166 | 5 | 3 | 6 | 209 | 245 | 313 | 558 | 104 | 300 | 33 | 4 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 18 | A RAW | Great Lakes Loons | — | 508 | 471 | 120 | 32 | 2 | 9 | 26 | 121 | 5 | 3 | 6 | 255 | 301 | 389 | 689 | 134 | 322 | 24 | 5 | 304 | 51 | — | — | — | — | — | — |
| 2017 | 19 | A+ MLE | Rancho Cucamonga Quakes | — | 502 | 468 | 98 | 18 | 2 | 3 | 23 | 132 | 4 | 2 | 2 | 209 | 253 | 276 | 528 | 66 | 282 | 26 | 5 | 233 | 44 | — | — | — | — | — | — |
| 2017 | 19 | A+ RAW | Rancho Cucamonga Quakes | — | 502 | 457 | 117 | 24 | 3 | 4 | 33 | 97 | 4 | 2 | 2 | 256 | 311 | 348 | 659 | 92 | 314 | 19 | 7 | 294 | 44 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | Rancho Cucamonga Quakes | — | 577 | 529 | 112 | 30 | 1 | 13 | 31 | 193 | 5 | 3 | 1 | 212 | 262 | 346 | 608 | 134 | 297 | 33 | 5 | 261 | 63 | — | — | — | — | — | — |
| 2018 | 20 | A+ RAW | Rancho Cucamonga Quakes | — | 577 | 515 | 143 | 43 | 2 | 15 | 45 | 138 | 5 | 3 | 1 | 278 | 342 | 456 | 798 | 179 | 344 | 24 | 8 | 346 | 63 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | 3 teams | — | 446 | 410 | 99 | 25 | 0 | 7 | 28 | 126 | 1 | 0 | 2 | 241 | 292 | 354 | 645 | 112 | 325 | 28 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2019 | 21 | AA RAW | 3 teams | — | 446 | 396 | 112 | 28 | 0 | 6 | 42 | 94 | 1 | 0 | 2 | 283 | 353 | 399 | 752 | 116 | 351 | 21 | 9 | 334 | 76 | — | — | — | — | — | — |
| 2021 | 23 | AAA MLE | Oklahoma City Dodgers | — | 409 | 372 | 67 | 11 | 0 | 6 | 29 | 128 | 3 | 0 | 1 | 180 | 245 | 258 | 503 | 78 | 251 | 31 | 7 | 226 | 39 | — | — | — | — | — | — |
| 2021 | 23 | AAA RAW | Oklahoma City Dodgers | — | 409 | 361 | 72 | 12 | 0 | 9 | 40 | 106 | 3 | 0 | 1 | 199 | 285 | 307 | 592 | 108 | 251 | 26 | 10 | 270 | 39 | — | — | — | — | — | — |
| 2022 | 24 | AAA MLE | 2 teams | — | 200 | 187 | 35 | 10 | 0 | 2 | 9 | 53 | 2 | 2 | 1 | 187 | 232 | 273 | 505 | 86 | 246 | 26 | 4 | 229 | 41 | — | — | — | — | — | — |
| 2022 | 24 | AAA RAW | 2 teams | — | 200 | 183 | 38 | 10 | 0 | 3 | 13 | 44 | 2 | 2 | 1 | 208 | 268 | 311 | 579 | 104 | 254 | 22 | 6 | 261 | 41 | — | — | — | — | — | — |
| 2016 | 18 | A MLE | Great Lakes Loons | — | 508 | 480 | 100 | 25 | 2 | 7 | 18 | 166 | 5 | 3 | 6 | 208 | 245 | 312 | 558 | 104 | 294 | 33 | 4 | 243 | 51 | — | — | — | — | — | — |
| 2017 | 19 | A+ MLE | Rancho Cucamonga Quakes | — | 502 | 470 | 98 | 18 | 2 | 3 | 23 | 132 | 4 | 2 | 2 | 209 | 253 | 274 | 527 | 66 | 274 | 26 | 5 | 233 | 44 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | Rancho Cucamonga Quakes | — | 577 | 536 | 112 | 30 | 1 | 13 | 31 | 193 | 5 | 3 | 1 | 209 | 262 | 341 | 603 | 132 | 285 | 33 | 5 | 261 | 63 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | 3 teams | — | 446 | 414 | 99 | 25 | 0 | 7 | 28 | 126 | 1 | 0 | 2 | 239 | 292 | 350 | 642 | 111 | 318 | 28 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2021 | 23 | AAA MLE | Oklahoma City Dodgers | — | 409 | 374 | 67 | 11 | 0 | 6 | 29 | 128 | 3 | 0 | 1 | 179 | 245 | 257 | 502 | 78 | 242 | 31 | 7 | 226 | 39 | — | — | — | — | — | — |
| 2022 | 24 | AAA MLE | 2 teams | — | 200 | 187 | 35 | 10 | 0 | 2 | 9 | 53 | 2 | 2 | 1 | 187 | 232 | 273 | 505 | 86 | 243 | 26 | 4 | 229 | 41 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2642 | 2445 | 511 | 119 | 5 | 38 | 138 | 798 | 20 | 10 | 13 | 209 | 257 | 308 | 565 | 99 | 288 | 30 | 5 | 248 | 54 | -145 | -3 | +0 | +9 | +57 | -8.3 | |
| / 162G | — | MLE | — | 650 | 602 | 125 | 29 | 1 | 9 | 34 | 196 | 5 | 2 | 3 | 208 | 256 | 304 | 560 | 96 | 286 | 30 | 5 | 248 | 54 | -36 | -1 | +0 | +2 | +14 | -2.1 | |
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.
2022 AAAOklahoma City Dodgers · 178 PAwOBA .270 → .229 (−41)K% 22.5% → 26.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.47% | ÷1.009 | ×1.200 | — | — | 26.72% |
| BB% (unintentional) /PA | 6.74% | ÷1.073 | ×0.690 | — | ×1.048 | 4.54% |
| HBP% /PA | 1.12% | — | ×0.940 | — | ×1.048 | 1.11% |
| Singles /BIP | 18.03% | ÷1.027 | ×0.930 | ×0.987 | ×1.048 | 16.88% |
| Doubles /BIP | 8.20% | ÷0.958 | ×0.830 | ×0.987 | ×1.048 | 7.35% |
| Triples /BIP | 0.00% | ÷0.955 | ×0.970 | ×0.987 | ×1.048 | 0.00% |
| Home runs /BIP | 2.46% | ÷0.997 | ×0.700 | — | ×1.048 | 1.81% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 105, 2B 92, 3B 91, K 102, BB 115 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.
Result: wOBA .270 → .229; ISO .117 → .095; BABIP .264 → .243. 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 AAAOklahoma City Dodgers · 409 PAwOBA .266 → .226 (−40)K% 25.9% → 31.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.92% | ÷0.994 | ×1.200 | — | — | 31.28% |
| BB% (unintentional) /PA | 9.78% | ÷1.015 | ×0.690 | — | ×1.050 | 6.98% |
| HBP% /PA | 0.73% | — | ×0.940 | — | ×1.050 | 0.72% |
| Singles /BIP | 20.00% | ÷0.958 | ×0.930 | ×0.973 | ×1.050 | 19.84% |
| Doubles /BIP | 4.71% | ÷0.941 | ×0.830 | ×0.973 | ×1.050 | 4.24% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.920 | ×0.973 | ×1.050 | 0.00% |
| Home runs /BIP | 3.53% | ÷1.016 | ×0.700 | — | ×1.050 | 2.55% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.
Result: wOBA .266 → .226; ISO .108 → .082; BABIP .251 → .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).
2019 AATulsa Drillers · 336 PAwOBA .343 → .286 (−57)K% 20.8% → 26.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.83% | ÷0.954 | ×1.220 | — | — | 26.65% |
| BB% (unintentional) /PA | 9.23% | ÷1.063 | ×0.700 | — | ×1.050 | 6.38% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×1.050 | 0.00% |
| Singles /BIP | 24.89% | ÷0.997 | ×0.920 | ×0.950 | ×1.050 | 22.90% |
| Doubles /BIP | 10.48% | ÷1.048 | ×0.840 | ×0.950 | ×1.050 | 8.38% |
| Triples /BIP | 0.00% | ÷0.925 | ×0.940 | ×0.950 | ×1.050 | 0.00% |
| Home runs /BIP | 2.62% | ÷0.909 | ×0.800 | — | ×1.050 | 2.42% |
Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 99, 2B 110, 3B 85, K 91, BB 113 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .343 → .286; ISO .140 → .118; BABIP .355 → .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).
2019 ROKAZL Dodgers Mota · 22 PAwOBA .336 → .200 (−136)K% 36.4% → 52.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 36.36% | ÷1.000 | ×1.440 | — | — | 52.36% |
| BB% (unintentional) /PA | 9.09% | ÷1.000 | ×0.620 | — | ×0.985 | 5.55% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.985 | 0.00% |
| Singles /BIP | 33.33% | ÷1.000 | ×0.820 | — | ×0.985 | 26.92% |
| Doubles /BIP | 16.67% | ÷1.000 | ×0.720 | — | ×0.985 | 11.82% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.985 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.985 | 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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).
Result: wOBA .336 → .200; ISO .100 → .055; BABIP .500 → .387. 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 A+Rancho Cucamonga Quakes · 577 PAwOBA .342 → .261 (−81)K% 23.9% → 33.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.92% | ÷0.957 | ×1.340 | — | — | 33.50% |
| BB% (unintentional) /PA | 7.63% | ÷1.066 | ×0.710 | — | ×1.042 | 5.29% |
| HBP% /PA | 0.87% | — | ×0.790 | — | ×1.042 | 0.71% |
| Singles /BIP | 22.02% | ÷1.025 | ×0.910 | ×0.950 | ×1.042 | 19.35% |
| Doubles /BIP | 11.41% | ÷1.076 | ×0.820 | ×0.950 | ×1.042 | 8.60% |
| Triples /BIP | 0.53% | ÷1.150 | ×0.760 | ×0.950 | ×1.042 | 0.35% |
| Home runs /BIP | 3.98% | ÷1.058 | ×0.920 | — | ×1.042 | 3.61% |
Factors used: league row CAL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 130, K 91, BB 113 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .342 → .261; ISO .179 → .136; BABIP .344 → .285. 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 A+Rancho Cucamonga Quakes · 502 PAwOBA .289 → .233 (−56)K% 19.3% → 26.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.32% | ÷0.990 | ×1.340 | — | — | 26.16% |
| BB% (unintentional) /PA | 6.57% | ÷1.099 | ×0.710 | — | ×1.050 | 4.46% |
| HBP% /PA | 0.80% | — | ×0.790 | — | ×1.050 | 0.66% |
| Singles /BIP | 23.89% | ÷1.006 | ×0.910 | ×0.958 | ×1.050 | 21.74% |
| Doubles /BIP | 6.67% | ÷1.064 | ×0.820 | ×0.958 | ×1.050 | 5.17% |
| Triples /BIP | 0.83% | ÷1.150 | ×0.760 | ×0.958 | ×1.050 | 0.55% |
| Home runs /BIP | 1.11% | ÷1.085 | ×0.920 | — | ×1.050 | 0.99% |
Factors used: league row CAL. Park (home-season share, regressed): HR 117, 1B 101, 2B 113, 3B 130, K 98, BB 120 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.
Result: wOBA .289 → .233; ISO .092 → .070; BABIP .314 → .274. 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 AGreat Lakes Loons · 508 PAwOBA .297 → .243 (−54)K% 23.8% → 32.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.82% | ÷0.990 | ×1.360 | — | — | 32.71% |
| BB% (unintentional) /PA | 4.92% | ÷1.011 | ×0.690 | — | ×1.050 | 3.53% |
| HBP% /PA | 0.98% | — | ×0.780 | — | ×1.050 | 0.81% |
| Singles /BIP | 22.00% | ÷0.977 | ×0.920 | ×0.952 | ×1.050 | 20.69% |
| Doubles /BIP | 9.14% | ÷0.961 | ×0.830 | ×0.952 | ×1.050 | 7.89% |
| Triples /BIP | 0.57% | ÷0.900 | ×0.910 | ×0.952 | ×1.050 | 0.58% |
| Home runs /BIP | 2.57% | ÷0.960 | ×0.800 | — | ×1.050 | 2.25% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 95, 2B 92, 3B 80, K 98, BB 102 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.
Result: wOBA .297 → .243; ISO .134 → .107; BABIP .322 → .294. 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 — .