Dylan Rosa
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 23 | AA/A+DET | 394 | .244/.303/.383 | 11 | 11 | 45 | — | .186/.236/.292 |
| 2021 | 25 | AAA/AADET | 223 | .232/.287/.435 | 8 | 1 | 50 | — | .187/.238/.335 |
| 2022 | 26 | AAA/AADET | 190 | .189/.285/.372 | 9 | 4 | 28 | — | .135/.209/.252 |
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) | |||||||||||||||||||||||||||||||
| 2018 | 22 | A | West Michigan Whitecaps | — | 421 | 376 | 86 | 15 | 6 | 11 | 42 | 129 | 3 | 5 | 6 | 229 | 311 | 388 | 699 | 160 | 318 | 31 | 10 | 314 | 33 | — | — | — | — | — | — |
| 2019 | 23 | AA | Erie SeaWolves | — | 48 | 43 | 6 | 1 | 0 | 1 | 2 | 20 | 2 | 1 | 0 | 140 | 213 | 233 | 445 | 93 | 217 | 42 | 4 | 205 | -8 | — | — | — | — | — | — |
| 2019 | 23 | A+ | Lakeland Flying Tigers | — | 346 | 317 | 82 | 12 | 2 | 10 | 22 | 77 | 4 | 10 | 1 | 259 | 315 | 404 | 719 | 145 | 309 | 22 | 6 | 319 | 52 | — | — | — | — | — | — |
| 2021 | 25 | AAA | Toledo Mud Hens | — | 53 | 50 | 12 | 5 | 1 | 0 | 1 | 19 | 2 | 0 | 0 | 240 | 283 | 380 | 663 | 140 | 387 | 36 | 2 | 295 | 45 | — | — | — | — | — | — |
| 2021 | 25 | AA | Erie SeaWolves | — | 170 | 157 | 36 | 9 | 1 | 8 | 9 | 59 | 4 | 1 | 3 | 229 | 288 | 452 | 740 | 223 | 311 | 35 | 5 | 325 | 51 | — | — | — | — | — | — |
| 2022 | 26 | AAA | Toledo Mud Hens | — | 49 | 42 | 6 | 0 | 0 | 2 | 4 | 23 | 0 | 2 | 0 | 143 | 217 | 286 | 503 | 143 | 211 | 47 | 8 | 216 | 1 | — | — | — | — | — | — |
| 2022 | 26 | AA | Erie SeaWolves | — | 141 | 122 | 25 | 3 | 0 | 7 | 17 | 65 | 1 | 2 | 1 | 205 | 307 | 402 | 709 | 197 | 353 | 46 | 12 | 316 | 38 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 22 | A MLE | West Michigan Whitecaps | — | 421 | 389 | 62 | 10 | 4 | 8 | 29 | 181 | 3 | 5 | 6 | 159 | 223 | 267 | 491 | 108 | 267 | 43 | 7 | 217 | 33 | — | — | — | — | — | — |
| 2019 | 23 | AA MLE | Erie SeaWolves | — | 48 | 44 | 6 | 1 | 0 | 1 | 1 | 25 | 2 | 1 | 0 | 136 | 191 | 227 | 419 | 91 | 208 | 52 | 2 | 157 | -8 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | Lakeland Flying Tigers | — | 346 | 322 | 62 | 9 | 1 | 8 | 17 | 109 | 4 | 10 | 1 | 193 | 242 | 301 | 543 | 109 | 262 | 32 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2021 | 25 | AAA MLE | Toledo Mud Hens | — | 53 | 50 | 10 | 4 | 1 | 0 | 1 | 23 | 2 | 0 | 0 | 200 | 245 | 320 | 565 | 120 | 355 | 43 | 2 | 235 | 45 | — | — | — | — | — | — |
| 2021 | 25 | AA MLE | Erie SeaWolves | — | 170 | 159 | 29 | 8 | 1 | 5 | 7 | 70 | 4 | 1 | 3 | 182 | 235 | 340 | 575 | 157 | 274 | 41 | 4 | 244 | 51 | — | — | — | — | — | — |
| 2022 | 26 | AAA MLE | Toledo Mud Hens | — | 49 | 43 | 5 | 0 | 0 | 1 | 3 | 27 | 0 | 2 | 0 | 116 | 174 | 186 | 360 | 70 | 190 | 55 | 6 | 170 | 1 | — | — | — | — | — | — |
| 2022 | 26 | AA MLE | Erie SeaWolves | — | 141 | 127 | 18 | 2 | 0 | 5 | 12 | 80 | 1 | 2 | 1 | 142 | 221 | 276 | 497 | 134 | 300 | 57 | 9 | 224 | 38 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | West Michigan Whitecaps | — | 421 | 389 | 62 | 10 | 4 | 8 | 29 | 181 | 3 | 5 | 6 | 159 | 223 | 267 | 491 | 108 | 270 | 43 | 7 | 217 | 33 | — | — | — | — | — | — |
| 2018 | 22 | A RAW | West Michigan Whitecaps | — | 421 | 376 | 86 | 15 | 6 | 11 | 42 | 129 | 3 | 5 | 6 | 229 | 311 | 388 | 699 | 160 | 318 | 31 | 10 | 314 | 33 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | 2 teams | — | 394 | 365 | 68 | 10 | 1 | 9 | 19 | 134 | 6 | 11 | 1 | 186 | 238 | 293 | 532 | 107 | 261 | 34 | 5 | 234 | 45 | — | — | — | — | — | — |
| 2019 | 23 | A+ RAW | 2 teams | — | 394 | 360 | 88 | 13 | 2 | 11 | 24 | 97 | 6 | 11 | 1 | 244 | 303 | 383 | 686 | 139 | 301 | 25 | 6 | 305 | 45 | — | — | — | — | — | — |
| 2021 | 25 | AA MLE | 2 teams | — | 223 | 210 | 38 | 11 | 2 | 5 | 7 | 93 | 6 | 1 | 3 | 181 | 229 | 324 | 553 | 143 | 295 | 42 | 3 | 242 | 50 | — | — | — | — | — | — |
| 2021 | 25 | AA RAW | 2 teams | — | 223 | 207 | 48 | 14 | 2 | 8 | 10 | 78 | 6 | 1 | 3 | 232 | 287 | 435 | 722 | 203 | 331 | 35 | 4 | 318 | 50 | — | — | — | — | — | — |
| 2022 | 26 | AA MLE | 2 teams | — | 190 | 170 | 23 | 2 | 0 | 6 | 15 | 107 | 1 | 4 | 1 | 135 | 210 | 253 | 463 | 118 | 283 | 56 | 8 | 210 | 28 | — | — | — | — | — | — |
| 2022 | 26 | AA RAW | 2 teams | — | 190 | 164 | 31 | 3 | 0 | 9 | 21 | 88 | 1 | 4 | 1 | 189 | 285 | 372 | 657 | 183 | 314 | 46 | 11 | 290 | 28 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | West Michigan Whitecaps | — | 421 | 386 | 62 | 10 | 4 | 8 | 29 | 181 | 3 | 5 | 6 | 161 | 223 | 269 | 493 | 109 | 267 | 43 | 7 | 217 | 33 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | 2 teams | — | 394 | 366 | 68 | 10 | 1 | 9 | 19 | 134 | 6 | 11 | 1 | 186 | 238 | 292 | 531 | 107 | 255 | 34 | 5 | 234 | 45 | — | — | — | — | — | — |
| 2021 | 25 | AA MLE | 2 teams | — | 223 | 208 | 38 | 11 | 2 | 5 | 7 | 93 | 6 | 1 | 3 | 183 | 229 | 327 | 556 | 144 | 293 | 42 | 3 | 242 | 50 | — | — | — | — | — | — |
| 2022 | 26 | AA MLE | 2 teams | — | 190 | 172 | 23 | 2 | 0 | 6 | 15 | 107 | 1 | 4 | 1 | 134 | 210 | 250 | 460 | 116 | 272 | 56 | 8 | 210 | 28 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1228 | 1134 | 191 | 33 | 7 | 28 | 70 | 515 | 16 | 21 | 11 | 168 | 227 | 284 | 511 | 116 | 273 | 42 | 6 | 226 | 39 | -89 | -0 | +0 | -13 | +27 | -7.7 | |
| / 162G | — | MLE | — | 650 | 600 | 101 | 17 | 4 | 15 | 37 | 273 | 8 | 11 | 6 | 168 | 226 | 285 | 511 | 117 | 272 | 42 | 6 | 226 | 39 | -47 | -0 | +0 | -7 | +14 | -4.1 | |
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 AAErie SeaWolves · 141 PAwOBA .310 → .224 (−87)K% 46.1% → 56.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 46.10% | ÷0.995 | ×1.220 | — | — | 56.50% |
| BB% (unintentional) /PA | 12.06% | ÷0.992 | ×0.700 | — | ×0.988 | 8.40% |
| HBP% /PA | 0.71% | — | ×0.850 | — | ×0.988 | 0.60% |
| Singles /BIP | 26.32% | ÷1.042 | ×0.970 | ×0.968 | ×0.988 | 23.44% |
| Doubles /BIP | 5.26% | ÷1.042 | ×0.860 | ×0.968 | ×0.988 | 4.16% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.950 | ×0.968 | ×0.988 | 0.00% |
| Home runs /BIP | 12.28% | ÷0.926 | ×0.780 | — | ×0.988 | 10.22% |
Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 108, 2B 108, 3B 80, K 99, BB 98 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.968.
Result: wOBA .310 → .224; ISO .197 → .139; BABIP .353 → .300. 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 AAAToledo Mud Hens · 49 PAwOBA .219 → .170 (−49)K% 46.9% → 55.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 46.94% | ÷1.008 | ×1.200 | — | — | 55.90% |
| BB% (unintentional) /PA | 8.16% | ÷0.964 | ×0.690 | — | ×1.018 | 5.95% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.018 | 0.00% |
| Singles /BIP | 21.05% | ÷1.015 | ×0.930 | — | ×1.018 | 19.63% |
| Doubles /BIP | 0.00% | ÷1.015 | ×0.830 | — | ×1.018 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | — | ×1.018 | 0.00% |
| Home runs /BIP | 10.53% | ÷1.026 | ×0.700 | — | ×1.018 | 7.31% |
Factors used: league row International League. Park (home-season share, regressed): HR 105, 1B 103, 2B 103, 3B 130, K 102, BB 93 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).
Result: wOBA .219 → .170; ISO .143 → .098; BABIP .211 → .190. 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 AAErie SeaWolves · 170 PAwOBA .316 → .244 (−72)K% 34.7% → 41.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.71% | ÷1.026 | ×1.220 | — | — | 41.25% |
| BB% (unintentional) /PA | 5.29% | ÷0.945 | ×0.690 | — | ×0.998 | 3.86% |
| HBP% /PA | 2.35% | — | ×0.850 | — | ×0.998 | 2.00% |
| Singles /BIP | 18.37% | ÷1.030 | ×0.940 | ×0.988 | ×0.998 | 16.53% |
| Doubles /BIP | 9.18% | ÷0.935 | ×0.870 | ×0.988 | ×0.998 | 8.42% |
| Triples /BIP | 1.02% | ÷1.150 | ×0.920 | ×0.988 | ×0.998 | 0.80% |
| Home runs /BIP | 8.16% | ÷1.055 | ×0.780 | — | ×0.998 | 6.02% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 106, 2B 87, 3B 130, K 105, BB 89 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.
Result: wOBA .316 → .244; ISO .223 → .161; BABIP .311 → .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).
2021 AAAToledo Mud Hens · 53 PAwOBA .287 → .235 (−52)K% 35.8% → 43.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 35.85% | ÷1.000 | ×1.200 | — | — | 43.03% |
| BB% (unintentional) /PA | 1.89% | ÷1.038 | ×0.690 | — | ×1.033 | 1.30% |
| HBP% /PA | 3.77% | — | ×0.940 | — | ×1.033 | 3.66% |
| Singles /BIP | 19.35% | ÷0.991 | ×0.930 | — | ×1.033 | 18.76% |
| Doubles /BIP | 16.13% | ÷1.013 | ×0.830 | — | ×1.033 | 13.65% |
| Triples /BIP | 3.23% | ÷0.981 | ×0.920 | — | ×1.033 | 3.12% |
| Home runs /BIP | 0.00% | ÷1.052 | ×0.700 | — | ×1.033 | 0.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 98, 2B 103, 3B 96, K 100, BB 108 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).
Result: wOBA .287 → .235; ISO .140 → .110; BABIP .387 → .355. 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 A+Lakeland Flying Tigers · 346 PAwOBA .313 → .245 (−67)K% 22.3% → 31.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.25% | ÷1.005 | ×1.420 | — | — | 31.45% |
| BB% (unintentional) /PA | 6.36% | ÷0.958 | ×0.750 | — | ×0.998 | 4.97% |
| HBP% /PA | 1.16% | — | ×0.930 | — | ×0.998 | 1.07% |
| Singles /BIP | 24.17% | ÷1.026 | ×0.920 | ×0.950 | ×0.998 | 20.55% |
| Doubles /BIP | 5.00% | ÷1.037 | ×0.960 | ×0.950 | ×0.998 | 4.39% |
| Triples /BIP | 0.83% | ÷1.004 | ×0.810 | ×0.950 | ×0.998 | 0.64% |
| Home runs /BIP | 4.17% | ÷0.963 | ×0.880 | — | ×0.998 | 3.80% |
Factors used: league row FSL. Park (home-season share, regressed): HR 93, 1B 105, 2B 107, 3B 101, K 101, BB 92 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .313 → .245; ISO .145 → .116; BABIP .309 → .262. 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 AAErie SeaWolves · 48 PAwOBA .204 → .157 (−47)K% 41.7% → 51.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 41.67% | ÷0.994 | ×1.220 | — | — | 51.12% |
| BB% (unintentional) /PA | 4.17% | ÷1.050 | ×0.700 | — | ×1.027 | 2.85% |
| HBP% /PA | 4.17% | — | ×0.850 | — | ×1.027 | 3.64% |
| Singles /BIP | 17.39% | ÷0.978 | ×0.970 | — | ×1.027 | 17.71% |
| Doubles /BIP | 4.35% | ÷1.077 | ×0.860 | — | ×1.027 | 3.57% |
| Triples /BIP | 0.00% | ÷1.127 | ×0.950 | — | ×1.027 | 0.00% |
| Home runs /BIP | 4.35% | ÷1.294 | ×0.780 | — | ×1.027 | 2.69% |
Factors used: league row EL. Park (home-season share, regressed): HR 159, 1B 96, 2B 115, 3B 125, K 99, BB 110 — 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).
Result: wOBA .204 → .157; ISO .093 → .055; BABIP .217 → .208. 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 AWest Michigan Whitecaps · 421 PAwOBA .306 → .217 (−89)K% 30.6% → 42.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.64% | ÷0.971 | ×1.360 | — | — | 42.91% |
| BB% (unintentional) /PA | 9.98% | ÷0.988 | ×0.690 | — | — | 6.97% |
| HBP% /PA | 0.71% | — | ×0.780 | — | — | 0.56% |
| Singles /BIP | 21.86% | ÷1.017 | ×0.920 | ×0.958 | — | 18.95% |
| Doubles /BIP | 6.07% | ÷1.024 | ×0.830 | ×0.958 | — | 4.72% |
| Triples /BIP | 2.43% | ÷1.045 | ×0.910 | ×0.958 | — | 2.03% |
| Home runs /BIP | 4.45% | ÷0.942 | ×0.800 | — | — | 3.78% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 103, 2B 105, 3B 109, K 94, BB 98 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.
Result: wOBA .306 → .217; ISO .160 → .112; BABIP .318 → .267. 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).