Anthony Dimino
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 22 | ROKKingsport Mets | 144 | .325/.440/.410 | 1 | 7 | 85 | — | .256/.340/.320 |
| 2017 | 23 | A+NYM | 217 | .317/.397/.360 | 0 | 9 | 94 | — | .289/.355/.325 |
| 2018 | 24 | A+NYM | 277 | .265/.324/.360 | 3 | 12 | 58 | — | .222/.273/.300 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 21 | ROK | GCL Mets | — | 122 | 105 | 31 | 5 | 0 | 0 | 15 | 16 | 0 | 2 | 1 | 295 | 383 | 343 | 726 | 48 | 344 | 13 | 12 | 331 | 55 | — | — | — | — | — | — |
| 2016 | 22 | ROK | Kingsport Mets | — | 144 | 117 | 38 | 7 | 0 | 1 | 22 | 20 | 2 | 7 | 2 | 325 | 440 | 410 | 850 | 85 | 381 | 14 | 15 | 382 | 85 | — | — | — | — | — | — |
| 2017 | 23 | A+ | St. Lucie Mets | — | 217 | 189 | 60 | 6 | 1 | 0 | 22 | 28 | 3 | 9 | 4 | 317 | 397 | 360 | 757 | 42 | 370 | 13 | 10 | 345 | 94 | — | — | — | — | — | — |
| 2018 | 24 | A+ | St. Lucie Mets | — | 277 | 253 | 67 | 13 | 1 | 3 | 21 | 38 | 1 | 12 | 2 | 265 | 324 | 360 | 683 | 95 | 300 | 14 | 8 | 308 | 58 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 21 | ROK MLE | GCL Mets | — | 122 | 111 | 26 | 4 | 0 | 0 | 9 | 23 | 0 | 2 | 1 | 234 | 292 | 270 | 562 | 36 | 283 | 19 | 7 | 250 | 55 | — | — | — | — | — | — |
| 2016 | 22 | ROK MLE | Kingsport Mets | — | 144 | 125 | 32 | 5 | 0 | 1 | 14 | 28 | 2 | 7 | 2 | 256 | 340 | 320 | 660 | 64 | 317 | 19 | 10 | 294 | 85 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | St. Lucie Mets | — | 217 | 194 | 56 | 5 | 1 | 0 | 17 | 42 | 3 | 9 | 4 | 289 | 355 | 325 | 680 | 36 | 362 | 19 | 8 | 307 | 94 | — | — | — | — | — | — |
| 2018 | 24 | A+ MLE | St. Lucie Mets | — | 277 | 257 | 57 | 12 | 1 | 2 | 17 | 56 | 1 | 12 | 2 | 222 | 273 | 300 | 572 | 78 | 271 | 20 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2015 | 21 | ROK MLE | GCL Mets | — | 122 | 111 | 26 | 4 | 0 | 0 | 9 | 23 | 0 | 2 | 1 | 234 | 292 | 270 | 562 | 36 | 292 | 19 | 7 | 250 | 55 | — | — | — | — | — | — |
| 2015 | 21 | ROK RAW | GCL Mets | — | 122 | 105 | 31 | 5 | 0 | 0 | 15 | 16 | 0 | 2 | 1 | 295 | 383 | 343 | 726 | 48 | 344 | 13 | 12 | 331 | 55 | — | — | — | — | — | — |
| 2016 | 22 | ROK MLE | Kingsport Mets | — | 144 | 125 | 32 | 5 | 0 | 1 | 14 | 28 | 2 | 7 | 2 | 256 | 340 | 320 | 660 | 64 | 320 | 19 | 10 | 294 | 85 | — | — | — | — | — | — |
| 2016 | 22 | ROK RAW | Kingsport Mets | — | 144 | 117 | 38 | 7 | 0 | 1 | 22 | 20 | 2 | 7 | 2 | 325 | 440 | 410 | 850 | 85 | 381 | 14 | 15 | 382 | 85 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | St. Lucie Mets | — | 217 | 194 | 56 | 5 | 1 | 0 | 17 | 42 | 3 | 9 | 4 | 289 | 355 | 325 | 680 | 36 | 366 | 19 | 8 | 307 | 94 | — | — | — | — | — | — |
| 2017 | 23 | A+ RAW | St. Lucie Mets | — | 217 | 189 | 60 | 6 | 1 | 0 | 22 | 28 | 3 | 9 | 4 | 317 | 397 | 360 | 757 | 42 | 370 | 13 | 10 | 345 | 94 | — | — | — | — | — | — |
| 2018 | 24 | A+ MLE | St. Lucie Mets | — | 277 | 257 | 57 | 12 | 1 | 2 | 17 | 56 | 1 | 12 | 2 | 222 | 273 | 300 | 572 | 78 | 275 | 20 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2018 | 24 | A+ RAW | St. Lucie Mets | — | 277 | 253 | 67 | 13 | 1 | 3 | 21 | 38 | 1 | 12 | 2 | 265 | 324 | 360 | 683 | 95 | 300 | 14 | 8 | 308 | 58 | — | — | — | — | — | — |
| 2015 | 21 | ROK MLE | GCL Mets | — | 122 | 112 | 26 | 4 | 0 | 0 | 9 | 23 | 0 | 2 | 1 | 232 | 292 | 268 | 560 | 36 | 283 | 19 | 7 | 250 | 55 | — | — | — | — | — | — |
| 2016 | 22 | ROK MLE | Kingsport Mets | — | 144 | 127 | 32 | 5 | 0 | 1 | 14 | 28 | 2 | 7 | 2 | 252 | 340 | 315 | 655 | 63 | 317 | 19 | 10 | 294 | 85 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | St. Lucie Mets | — | 217 | 195 | 56 | 5 | 1 | 0 | 17 | 42 | 3 | 9 | 4 | 287 | 355 | 323 | 678 | 36 | 362 | 19 | 8 | 307 | 94 | — | — | — | — | — | — |
| 2018 | 24 | A+ MLE | St. Lucie Mets | — | 277 | 257 | 57 | 12 | 1 | 2 | 17 | 56 | 1 | 12 | 2 | 222 | 273 | 300 | 572 | 78 | 271 | 20 | 6 | 254 | 58 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 760 | 687 | 171 | 26 | 2 | 3 | 57 | 149 | 6 | 30 | 9 | 249 | 312 | 306 | 618 | 57 | 312 | 20 | 8 | 276 | 73 | -24 | +2 | +0 | +14 | +16 | 0.8 | |
| / 162G | — | MLE | — | 650 | 588 | 147 | 22 | 2 | 3 | 49 | 127 | 5 | 26 | 8 | 250 | 313 | 310 | 623 | 60 | 312 | 20 | 8 | 276 | 73 | -21 | +2 | +0 | +12 | +14 | 0.7 | |
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+St. Lucie Mets · 277 PAwOBA .301 → .254 (−46)K% 13.7% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.72% | ÷0.967 | ×1.420 | — | — | 20.15% |
| BB% (unintentional) /PA | 7.58% | ÷0.907 | ×0.750 | — | ×0.978 | 6.13% |
| HBP% /PA | 0.36% | — | ×0.930 | — | ×0.978 | 0.33% |
| Singles /BIP | 23.26% | ÷1.022 | ×0.920 | ×1.007 | ×0.978 | 20.63% |
| Doubles /BIP | 6.05% | ÷0.964 | ×0.960 | ×1.007 | ×0.978 | 5.93% |
| Triples /BIP | 0.47% | ÷0.900 | ×0.810 | ×1.007 | ×0.978 | 0.41% |
| Home runs /BIP | 1.40% | ÷1.074 | ×0.880 | — | ×0.978 | 1.12% |
Factors used: league row FSL. Park (home-season share, regressed): HR 115, 1B 104, 2B 93, 3B 80, K 93, BB 81 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.
Result: wOBA .301 → .254; ISO .095 → .081; BABIP .300 → .271. 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+St. Lucie Mets · 217 PAwOBA .338 → .307 (−31)K% 12.9% → 19.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.90% | ÷0.956 | ×1.420 | — | — | 19.16% |
| BB% (unintentional) /PA | 10.14% | ÷0.957 | ×0.750 | — | ×0.988 | 7.85% |
| HBP% /PA | 1.38% | — | ×0.930 | — | ×0.988 | 1.27% |
| Singles /BIP | 32.92% | ÷0.970 | ×0.920 | ×1.050 | ×0.988 | 32.38% |
| Doubles /BIP | 3.73% | ÷1.056 | ×0.960 | ×1.050 | ×0.988 | 3.51% |
| Triples /BIP | 0.62% | ÷0.900 | ×0.810 | ×1.050 | ×0.988 | 0.58% |
| Home runs /BIP | 0.00% | ÷0.911 | ×0.880 | — | ×0.988 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 94, 2B 111, 3B 80, K 91, BB 91 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .338 → .307; ISO .042 → .038; BABIP .370 → .362. 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 ROKKingsport Mets · 144 PAwOBA .376 → .294 (−82)K% 13.9% → 19.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.89% | ÷1.000 | ×1.420 | — | — | 19.72% |
| BB% (unintentional) /PA | 15.28% | ÷1.000 | ×0.640 | — | ×0.965 | 9.44% |
| HBP% /PA | 1.39% | — | ×0.740 | — | ×0.965 | 0.99% |
| Singles /BIP | 30.93% | ÷1.000 | ×0.840 | ×1.050 | ×0.965 | 26.32% |
| Doubles /BIP | 7.22% | ÷1.000 | ×0.740 | ×1.050 | ×0.965 | 5.41% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.740 | ×1.050 | ×0.965 | 0.00% |
| Home runs /BIP | 1.03% | ÷1.000 | ×0.800 | — | ×0.965 | 0.80% |
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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .376 → .294; ISO .085 → .067; BABIP .381 → .317. 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).
2015 ROKGCL Mets · 122 PAwOBA .326 → .250 (−76)K% 13.1% → 18.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.11% | ÷1.000 | ×1.440 | — | — | 18.89% |
| BB% (unintentional) /PA | 12.30% | ÷1.000 | ×0.620 | — | ×0.975 | 7.43% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 29.21% | ÷1.000 | ×0.820 | ×1.050 | ×0.975 | 24.52% |
| Doubles /BIP | 5.62% | ÷1.000 | ×0.720 | ×1.050 | ×0.975 | 4.14% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.050 | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.975 | 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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .326 → .250; ISO .048 → .035; BABIP .344 → .283. 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).