Dariel Lopez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 17 | ROKDSL Pirates 2 | 188 | .341/.409/.485 | 2 | 5 | 55 | — | .211/.274/.287 |
| 2021 | 19 | APIT | 416 | .258/.346/.393 | 10 | 1 | 69 | — | .226/.290/.319 |
| 2022 | 20 | A+/INTL2 orgs | 438 | .287/.333/.474 | 19 | 6 | 76 | — | .242/.273/.375 |
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) | |||||||||||||||||||||||||||||||
| 2019 | 17 | ROK | DSL Pirates 2 | — | 188 | 167 | 57 | 10 | 4 | 2 | 14 | 30 | 5 | 5 | 2 | 341 | 409 | 485 | 894 | 144 | 401 | 16 | 7 | 394 | 55 | — | — | — | — | — | — |
| 2021 | 19 | A | Bradenton Marauders | — | 416 | 361 | 93 | 17 | 1 | 10 | 41 | 103 | 8 | 1 | 2 | 258 | 346 | 393 | 740 | 136 | 327 | 25 | 10 | 331 | 69 | — | — | — | — | — | — |
| 2022 | 20 | A+ | Greensboro Grasshoppers | — | 420 | 391 | 112 | 15 | 1 | 19 | 21 | 107 | 5 | 6 | 4 | 286 | 331 | 476 | 807 | 189 | 348 | 25 | 5 | 353 | 73 | — | — | — | — | — | — |
| 2022 | 20 | INTL | Gigantes del Cibao | — | 18 | 16 | 5 | 0 | 1 | 0 | 2 | 3 | 0 | 0 | 0 | 312 | 389 | 438 | 826 | 125 | 385 | 17 | 11 | 368 | 135 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 17 | ROK MLE | DSL Pirates 2 | — | 188 | 171 | 36 | 6 | 2 | 1 | 10 | 37 | 5 | 5 | 2 | 211 | 274 | 287 | 561 | 76 | 255 | 20 | 5 | 249 | 55 | — | — | — | — | — | — |
| 2021 | 19 | A MLE | Bradenton Marauders | — | 416 | 376 | 85 | 15 | 1 | 6 | 26 | 141 | 8 | 1 | 2 | 226 | 290 | 319 | 609 | 93 | 327 | 34 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2022 | 20 | A+ MLE | Greensboro Grasshoppers | — | 420 | 400 | 97 | 12 | 1 | 13 | 12 | 140 | 5 | 6 | 4 | 242 | 273 | 375 | 648 | 133 | 331 | 33 | 3 | 276 | 73 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Pirates 2 | — | 188 | 171 | 36 | 6 | 2 | 1 | 10 | 37 | 5 | 5 | 2 | 211 | 274 | 287 | 561 | 76 | 259 | 20 | 5 | 249 | 55 | — | — | — | — | — | — |
| 2019 | 17 | ROK RAW | DSL Pirates 2 | — | 188 | 167 | 57 | 10 | 4 | 2 | 14 | 30 | 5 | 5 | 2 | 341 | 409 | 485 | 894 | 144 | 401 | 16 | 7 | 394 | 55 | — | — | — | — | — | — |
| 2021 | 19 | A MLE | Bradenton Marauders | — | 416 | 376 | 85 | 15 | 1 | 6 | 26 | 141 | 8 | 1 | 2 | 226 | 290 | 319 | 609 | 93 | 336 | 34 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2021 | 19 | A RAW | Bradenton Marauders | — | 416 | 361 | 93 | 17 | 1 | 10 | 41 | 103 | 8 | 1 | 2 | 258 | 346 | 393 | 740 | 136 | 327 | 25 | 10 | 331 | 69 | — | — | — | — | — | — |
| 2022 | 20 | A+ MLE | 2 teams | — | 438 | 417 | 101 | 13 | 1 | 13 | 13 | 146 | 5 | 6 | 4 | 242 | 274 | 372 | 645 | 129 | 338 | 33 | 3 | 276 | 73 | — | — | — | — | — | — |
| 2022 | 20 | A+ RAW | 2 teams | — | 438 | 407 | 117 | 15 | 2 | 19 | 23 | 110 | 5 | 6 | 4 | 287 | 333 | 474 | 808 | 187 | 350 | 25 | 5 | 354 | 73 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Pirates 2 | — | 188 | 171 | 36 | 6 | 2 | 1 | 10 | 37 | 5 | 5 | 2 | 211 | 274 | 287 | 561 | 76 | 255 | 20 | 5 | 249 | 55 | — | — | — | — | — | — |
| 2021 | 19 | A MLE | Bradenton Marauders | — | 416 | 379 | 85 | 15 | 1 | 6 | 26 | 141 | 8 | 1 | 2 | 224 | 290 | 317 | 607 | 92 | 327 | 34 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2022 | 20 | A+ MLE | 2 teams | — | 438 | 417 | 101 | 13 | 1 | 13 | 13 | 146 | 5 | 6 | 4 | 242 | 274 | 372 | 645 | 129 | 331 | 33 | 3 | 276 | 73 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1042 | 964 | 222 | 34 | 4 | 20 | 49 | 324 | 18 | 12 | 8 | 230 | 280 | 336 | 616 | 106 | 321 | 31 | 5 | 269 | 68 | -40 | -1 | +0 | +11 | +23 | -0.7 | |
| / 162G | — | MLE | — | 650 | 601 | 137 | 21 | 2 | 12 | 31 | 202 | 11 | 7 | 5 | 228 | 278 | 329 | 608 | 101 | 318 | 31 | 5 | 269 | 68 | -25 | -1 | +0 | +7 | +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 A+Greensboro Grasshoppers · 420 PAwOBA .345 → .276 (−69)K% 25.5% → 33.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.48% | ÷0.999 | ×1.310 | — | — | 33.42% |
| BB% (unintentional) /PA | 5.00% | ÷1.063 | ×0.600 | — | ×1.042 | 2.94% |
| HBP% /PA | 1.19% | — | ×0.770 | — | ×1.042 | 0.96% |
| Singles /BIP | 27.11% | ÷0.961 | ×0.870 | ×1.048 | ×1.042 | 26.79% |
| Doubles /BIP | 5.28% | ÷0.963 | ×0.780 | ×1.048 | ×1.042 | 4.67% |
| Triples /BIP | 0.35% | ÷1.150 | ×0.850 | ×1.048 | ×1.042 | 0.28% |
| Home runs /BIP | 6.69% | ÷1.273 | ×0.880 | — | ×1.042 | 4.82% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 155, 1B 92, 2B 93, 3B 130, K 100, 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 ×1.048.
Result: wOBA .345 → .276; ISO .189 → .133; BABIP .348 → .331. 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 ABradenton Marauders · 416 PAwOBA .327 → .270 (−57)K% 24.8% → 34.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.76% | ÷0.989 | ×1.360 | — | — | 34.04% |
| BB% (unintentional) /PA | 9.86% | ÷1.130 | ×0.690 | — | ×1.045 | 6.29% |
| HBP% /PA | 1.92% | — | ×0.780 | — | ×1.045 | 1.57% |
| Singles /BIP | 25.19% | ÷0.976 | ×0.920 | ×1.048 | ×1.045 | 26.02% |
| Doubles /BIP | 6.59% | ÷0.943 | ×0.830 | ×1.048 | ×1.045 | 6.35% |
| Triples /BIP | 0.39% | ÷1.150 | ×0.910 | ×1.048 | ×1.045 | 0.34% |
| Home runs /BIP | 3.88% | ÷1.302 | ×0.800 | — | ×1.045 | 2.49% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 160, 1B 95, 2B 89, 3B 130, K 98, BB 126 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.
Result: wOBA .327 → .270; ISO .136 → .097; BABIP .327 → .327. 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 DSLDSL Pirates 2 · 188 PAwOBA .388 → .249 (−138)K% 16.0% → 19.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.96% | ÷1.000 | ×1.220 | — | — | 19.47% |
| BB% (unintentional) /PA | 7.45% | ÷1.000 | ×0.700 | — | ×1.022 | 5.33% |
| HBP% /PA | 2.66% | — | ×0.700 | — | ×1.022 | 1.90% |
| Singles /BIP | 29.93% | ÷1.000 | ×0.680 | ×0.950 | ×1.022 | 19.77% |
| Doubles /BIP | 7.30% | ÷1.000 | ×0.600 | ×0.950 | ×1.022 | 4.25% |
| Triples /BIP | 2.92% | ÷1.000 | ×0.600 | ×0.950 | ×1.022 | 1.70% |
| Home runs /BIP | 1.46% | ÷1.000 | ×0.470 | — | ×1.022 | 0.70% |
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 ×0.950.
Result: wOBA .388 → .249; ISO .144 → .081; BABIP .401 → .255. 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 — .