Frandy De La Rosa
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 20 | ATEX | 483 | .250/.332/.351 | 7 | 19 | 58 | — | .212/.275/.292 |
| 2017 | 21 | A+/A2 orgs | 252 | .216/.282/.348 | 5 | 2 | 31 | — | .171/.218/.277 |
| 2018 | 22 | A+SF | 200 | .227/.289/.370 | 6 | 0 | 45 | — | .185/.239/.299 |
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) | |||||||||||||||||||||||||||||||
| 2013 | 17 | ROK | DSL Cubs | — | 45 | 39 | 3 | 0 | 0 | 0 | 2 | 20 | 1 | 2 | 0 | 77 | 143 | 77 | 220 | 143 | 44 | 4 | 108 | -62 | — | — | — | — | — | — | |
| 2014 | 18 | ROK | DSL Cubs | — | 278 | 249 | 70 | 19 | 4 | 1 | 19 | 39 | 4 | 12 | 5 | 281 | 342 | 402 | 744 | 120 | 322 | 14 | 7 | 326 | 33 | — | — | — | — | — | — |
| 2016 | 20 | A | Hickory Crawdads | — | 483 | 424 | 106 | 18 | 2 | 7 | 45 | 92 | 7 | 19 | 23 | 250 | 332 | 351 | 683 | 101 | 302 | 19 | 9 | 308 | 58 | — | — | — | — | — | — |
| 2017 | 21 | A+ | Down East Wood Ducks | — | 33 | 28 | 3 | 2 | 0 | 0 | 5 | 13 | 0 | 0 | 0 | 107 | 242 | 179 | 421 | 71 | 200 | 39 | 15 | 211 | -15 | — | — | — | — | — | — |
| 2017 | 21 | A | Augusta GreenJackets | — | 219 | 199 | 46 | 9 | 2 | 5 | 15 | 66 | 1 | 2 | 4 | 231 | 288 | 372 | 660 | 141 | 313 | 30 | 7 | 290 | 38 | — | — | — | — | — | — |
| 2018 | 22 | A+ | San Jose Giants | — | 200 | 181 | 41 | 2 | 3 | 6 | 13 | 59 | 3 | 0 | 1 | 227 | 289 | 370 | 660 | 144 | 302 | 30 | 6 | 292 | 45 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 17 | ROK MLE | DSL Cubs | — | 45 | 40 | 2 | 0 | 0 | 0 | 1 | 24 | 1 | 2 | 0 | 50 | 95 | 50 | 145 | 99 | 53 | 2 | 76 | -62 | — | — | — | — | — | — | |
| 2014 | 18 | ROK MLE | DSL Cubs | — | 278 | 255 | 46 | 12 | 2 | 0 | 13 | 48 | 4 | 12 | 5 | 180 | 232 | 243 | 475 | 63 | 213 | 17 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Hickory Crawdads | — | 483 | 438 | 93 | 16 | 2 | 5 | 31 | 125 | 7 | 19 | 23 | 212 | 275 | 292 | 567 | 80 | 279 | 26 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | Down East Wood Ducks | — | 33 | 30 | 3 | 2 | 0 | 0 | 3 | 18 | 0 | 0 | 0 | 100 | 182 | 167 | 348 | 67 | 188 | 55 | 9 | 146 | -15 | — | — | — | — | — | — |
| 2017 | 21 | A MLE | Augusta GreenJackets | — | 219 | 204 | 37 | 7 | 2 | 4 | 10 | 93 | 1 | 2 | 4 | 181 | 223 | 294 | 517 | 113 | 286 | 42 | 5 | 225 | 38 | — | — | — | — | — | — |
| 2018 | 22 | A+ MLE | San Jose Giants | — | 200 | 184 | 34 | 2 | 2 | 5 | 10 | 82 | 3 | 0 | 1 | 185 | 239 | 299 | 537 | 114 | 292 | 41 | 5 | 234 | 45 | — | — | — | — | — | — |
| 2013 | 17 | ROK MLE | DSL Cubs | — | 45 | 40 | 2 | 0 | 0 | 0 | 1 | 24 | 1 | 2 | 0 | 50 | 95 | 50 | 145 | 111 | 53 | 2 | 76 | -62 | — | — | — | — | — | — | |
| 2013 | 17 | ROK RAW | DSL Cubs | — | 45 | 39 | 3 | 0 | 0 | 0 | 2 | 20 | 1 | 2 | 0 | 77 | 143 | 77 | 220 | 143 | 44 | 4 | 108 | -62 | — | — | — | — | — | — | |
| 2014 | 18 | ROK MLE | DSL Cubs | — | 278 | 255 | 46 | 12 | 2 | 0 | 13 | 48 | 4 | 12 | 5 | 180 | 232 | 243 | 475 | 63 | 217 | 17 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2014 | 18 | ROK RAW | DSL Cubs | — | 278 | 249 | 70 | 19 | 4 | 1 | 19 | 39 | 4 | 12 | 5 | 281 | 342 | 402 | 744 | 120 | 322 | 14 | 7 | 326 | 33 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Hickory Crawdads | — | 483 | 438 | 93 | 16 | 2 | 5 | 31 | 125 | 7 | 19 | 23 | 212 | 275 | 292 | 567 | 80 | 283 | 26 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2016 | 20 | A RAW | Hickory Crawdads | — | 483 | 424 | 106 | 18 | 2 | 7 | 45 | 92 | 7 | 19 | 23 | 250 | 332 | 351 | 683 | 101 | 302 | 19 | 9 | 308 | 58 | — | — | — | — | — | — |
| 2017 | 21 | A MLE | 2 teams | — | 252 | 234 | 39 | 8 | 2 | 4 | 13 | 110 | 1 | 2 | 4 | 167 | 214 | 269 | 483 | 103 | 285 | 44 | 5 | 215 | 31 | — | — | — | — | — | — |
| 2017 | 21 | A RAW | 2 teams | — | 252 | 227 | 49 | 11 | 2 | 5 | 20 | 79 | 1 | 2 | 4 | 216 | 282 | 348 | 630 | 132 | 301 | 31 | 8 | 280 | 31 | — | — | — | — | — | — |
| 2018 | 22 | A+ MLE | San Jose Giants | — | 200 | 184 | 34 | 2 | 2 | 5 | 10 | 82 | 3 | 0 | 1 | 185 | 239 | 299 | 537 | 114 | 299 | 41 | 5 | 234 | 45 | — | — | — | — | — | — |
| 2018 | 22 | A+ RAW | San Jose Giants | — | 200 | 181 | 41 | 2 | 3 | 6 | 13 | 59 | 3 | 0 | 1 | 227 | 289 | 370 | 660 | 144 | 302 | 30 | 6 | 292 | 45 | — | — | — | — | — | — |
| 2013 | 17 | ROK MLE | DSL Cubs | — | 45 | 43 | 2 | 0 | 0 | 0 | 1 | 24 | 1 | 2 | 0 | 47 | 95 | 47 | 142 | 99 | 53 | 2 | 76 | -62 | — | — | — | — | — | — | |
| 2014 | 18 | ROK MLE | DSL Cubs | — | 278 | 259 | 46 | 12 | 2 | 0 | 13 | 48 | 4 | 12 | 5 | 178 | 232 | 239 | 471 | 62 | 213 | 17 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Hickory Crawdads | — | 483 | 442 | 93 | 16 | 2 | 5 | 31 | 125 | 7 | 19 | 23 | 210 | 275 | 290 | 565 | 79 | 279 | 26 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2017 | 21 | A MLE | 2 teams | — | 252 | 236 | 39 | 8 | 2 | 4 | 13 | 110 | 1 | 2 | 4 | 165 | 214 | 267 | 481 | 102 | 273 | 44 | 5 | 215 | 31 | — | — | — | — | — | — |
| 2018 | 22 | A+ MLE | San Jose Giants | — | 200 | 185 | 34 | 2 | 2 | 5 | 10 | 82 | 3 | 0 | 1 | 184 | 239 | 297 | 536 | 114 | 292 | 41 | 5 | 234 | 45 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1258 | 1151 | 214 | 38 | 8 | 14 | 68 | 389 | 16 | 35 | 33 | 186 | 241 | 269 | 511 | 83 | 263 | 31 | 5 | 228 | 41 | -89 | -6 | +0 | +4 | +27 | -6.4 | |
| / 162G | — | MLE | — | 650 | 595 | 111 | 20 | 4 | 7 | 35 | 201 | 8 | 18 | 17 | 187 | 241 | 269 | 510 | 82 | 264 | 31 | 5 | 228 | 41 | -46 | -3 | +0 | +2 | +14 | -3.3 | |
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.
2018 A+San Jose Giants · 200 PAwOBA .284 → .234 (−50)K% 29.5% → 41.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.50% | ÷0.959 | ×1.340 | — | — | 41.22% |
| BB% (unintentional) /PA | 6.50% | ÷0.971 | ×0.710 | — | ×1.012 | 4.81% |
| HBP% /PA | 1.50% | — | ×0.790 | — | ×1.012 | 1.20% |
| Singles /BIP | 24.59% | ÷0.987 | ×0.910 | ×1.050 | ×1.012 | 24.10% |
| Doubles /BIP | 1.64% | ÷0.991 | ×0.820 | ×1.050 | ×1.012 | 1.44% |
| Triples /BIP | 2.46% | ÷0.900 | ×0.760 | ×1.050 | ×1.012 | 2.21% |
| Home runs /BIP | 4.92% | ÷0.924 | ×0.920 | — | ×1.012 | 4.95% |
Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 97, 2B 98, 3B 80, K 92, BB 94 — 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 .284 → .234; ISO .144 → .121; BABIP .302 → .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).
2017 AAugusta GreenJackets · 219 PAwOBA .286 → .225 (−61)K% 30.1% → 42.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.14% | ÷0.954 | ×1.340 | — | — | 42.34% |
| BB% (unintentional) /PA | 6.85% | ÷0.997 | ×0.660 | — | ×1.015 | 4.60% |
| HBP% /PA | 0.46% | — | ×0.770 | — | ×1.015 | 0.36% |
| Singles /BIP | 22.56% | ÷1.010 | ×0.920 | ×1.009 | ×1.015 | 21.06% |
| Doubles /BIP | 6.77% | ÷0.989 | ×0.820 | ×1.009 | ×1.015 | 5.75% |
| Triples /BIP | 1.50% | ÷1.016 | ×0.940 | ×1.009 | ×1.015 | 1.42% |
| Home runs /BIP | 3.76% | ÷0.818 | ×0.820 | — | ×1.015 | 3.83% |
Factors used: league row SAL. Park (home-season share, regressed): HR 64, 1B 102, 2B 98, 3B 103, K 91, BB 99 — 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 ×1.009.
Result: wOBA .286 → .225; ISO .141 → .116; BABIP .313 → .286. 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+Down East Wood Ducks · 33 PAwOBA .207 → .146 (−61)K% 39.4% → 53.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 39.39% | ÷1.045 | ×1.420 | — | — | 53.54% |
| BB% (unintentional) /PA | 15.15% | ÷0.989 | ×0.630 | — | ×1.027 | 9.91% |
| HBP% /PA | 0.00% | — | ×0.860 | — | ×1.027 | 0.00% |
| Singles /BIP | 6.67% | ÷1.034 | ×0.940 | — | ×1.027 | 6.22% |
| Doubles /BIP | 13.33% | ÷0.905 | ×0.830 | — | ×1.027 | 12.55% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.800 | — | ×1.027 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.995 | ×0.900 | — | ×1.027 | 0.00% |
Factors used: league row CAR. Park (home-season share, regressed): HR 99, 1B 107, 2B 81, 3B 80, K 109, BB 98 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).
Result: wOBA .207 → .146; ISO .071 → .054; BABIP .200 → .188. 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 AHickory Crawdads · 483 PAwOBA .302 → .254 (−48)K% 19.0% → 25.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.05% | ÷0.990 | ×1.340 | — | — | 25.79% |
| BB% (unintentional) /PA | 9.32% | ÷0.972 | ×0.660 | — | ×1.030 | 6.52% |
| HBP% /PA | 1.45% | — | ×0.770 | — | ×1.030 | 1.15% |
| Singles /BIP | 23.80% | ÷1.041 | ×0.920 | ×1.012 | ×1.030 | 21.93% |
| Doubles /BIP | 5.42% | ÷0.907 | ×0.820 | ×1.012 | ×1.030 | 5.11% |
| Triples /BIP | 0.60% | ÷0.900 | ×0.940 | ×1.012 | ×1.030 | 0.66% |
| Home runs /BIP | 2.11% | ÷1.100 | ×0.820 | — | ×1.030 | 1.62% |
Factors used: league row SAL. Park (home-season share, regressed): HR 120, 1B 108, 2B 81, 3B 80, K 98, BB 94 — 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 ×1.012.
Result: wOBA .302 → .254; ISO .101 → .085; BABIP .302 → .279. 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).
2014 DSLDSL Cubs · 278 PAwOBA .324 → .217 (−107)K% 14.0% → 17.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.03% | ÷1.000 | ×1.220 | — | — | 17.12% |
| BB% (unintentional) /PA | 6.83% | ÷1.000 | ×0.700 | — | ×1.008 | 4.82% |
| HBP% /PA | 1.44% | — | ×0.700 | — | ×1.008 | 1.01% |
| Singles /BIP | 21.90% | ÷1.000 | ×0.680 | ×1.005 | ×1.008 | 15.09% |
| Doubles /BIP | 9.05% | ÷1.000 | ×0.600 | ×1.005 | ×1.008 | 5.50% |
| Triples /BIP | 1.90% | ÷1.000 | ×0.600 | ×1.005 | ×1.008 | 1.16% |
| Home runs /BIP | 0.48% | ÷1.000 | ×0.470 | — | ×1.008 | 0.23% |
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 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 ×1.005.
Result: wOBA .324 → .217; ISO .120 → .073; BABIP .322 → .213. 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).
2013 DSLDSL Cubs · 45 PAwOBA .110 → .076 (−34)K% 44.4% → 54.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 44.44% | ÷1.000 | ×1.220 | — | — | 54.22% |
| BB% (unintentional) /PA | 4.44% | ÷1.000 | ×0.700 | — | ×1.022 | 3.18% |
| HBP% /PA | 2.22% | — | ×0.700 | — | ×1.022 | 1.59% |
| Singles /BIP | 15.79% | ÷1.000 | ×0.680 | — | ×1.022 | 10.98% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.600 | — | ×1.022 | 0.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | — | ×1.022 | 0.00% |
| 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).
Result: wOBA .110 → .076; ISO .000 → .000; BABIP .143 → .099. 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).