Edwin Mateo
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2021 | 22 | ALAA | 379 | .274/.366/.401 | 4 | 22 | 70 | — | .224/.300/.315 |
| 2022 | 23 | A+LAD | 212 | .214/.281/.297 | 2 | 3 | 31 | — | .183/.233/.254 |
| 2023 | 24 | INTLRA12 | 80 | .143/.231/.171 | 0 | 3 | 17 | — |
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) | |||||||||||||||||||||||||||||||
| 2017 | 18 | ROK | DSL Dodgers 1 | — | 249 | 214 | 47 | 4 | 3 | 2 | 30 | 44 | 4 | 13 | 10 | 220 | 327 | 294 | 621 | 75 | 266 | 18 | 12 | 291 | 15 | — | — | — | — | — | — |
| 2018 | 19 | ROK | DSL Dodgers Guerrero | — | 242 | 202 | 52 | 3 | 5 | 2 | 34 | 35 | 4 | 19 | 5 | 257 | 375 | 351 | 726 | 94 | 301 | 14 | 14 | 334 | 33 | — | — | — | — | — | — |
| 2019 | 20 | ROK | AZL Dodgers Lasorda | — | 177 | 139 | 41 | 5 | 0 | 4 | 31 | 33 | 3 | 10 | 3 | 295 | 434 | 417 | 851 | 122 | 349 | 19 | 18 | 382 | 71 | — | — | — | — | — | — |
| 2021 | 22 | A | Rancho Cucamonga Quakes | — | 379 | 329 | 90 | 18 | 6 | 4 | 35 | 86 | 13 | 22 | 3 | 274 | 366 | 401 | 767 | 128 | 357 | 23 | 9 | 346 | 70 | — | — | — | — | — | — |
| 2022 | 23 | A+ | Great Lakes Loons | — | 212 | 192 | 41 | 10 | 0 | 2 | 16 | 47 | 2 | 3 | 2 | 214 | 281 | 297 | 578 | 83 | 271 | 22 | 8 | 264 | 31 | — | — | — | — | — | — |
| 2023 | 24 | INTL | RA12 | — | 80 | 70 | 10 | 0 | 1 | 0 | 6 | 20 | 2 | 3 | 1 | 143 | 231 | 171 | 402 | 29 | 196 | 25 | 8 | 193 | 17 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 18 | ROK MLE | DSL Dodgers 1 | — | 249 | 223 | 31 | 2 | 2 | 1 | 21 | 54 | 4 | 13 | 10 | 139 | 226 | 179 | 405 | 40 | 177 | 22 | 8 | 190 | 15 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | DSL Dodgers Guerrero | — | 242 | 213 | 35 | 2 | 3 | 1 | 23 | 43 | 4 | 19 | 5 | 164 | 258 | 216 | 474 | 52 | 194 | 18 | 10 | 217 | 33 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | AZL Dodgers Lasorda | — | 177 | 151 | 31 | 3 | 0 | 3 | 19 | 47 | 3 | 10 | 3 | 205 | 306 | 285 | 591 | 79 | 261 | 27 | 11 | 273 | 71 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | Rancho Cucamonga Quakes | — | 379 | 340 | 76 | 12 | 5 | 3 | 24 | 115 | 13 | 22 | 3 | 224 | 300 | 315 | 614 | 91 | 320 | 30 | 6 | 272 | 70 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | Great Lakes Loons | — | 212 | 197 | 36 | 8 | 0 | 2 | 11 | 58 | 2 | 3 | 2 | 183 | 233 | 254 | 487 | 71 | 242 | 27 | 5 | 214 | 31 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | DSL Dodgers 1 | — | 249 | 223 | 31 | 2 | 2 | 1 | 21 | 54 | 4 | 13 | 10 | 139 | 226 | 179 | 405 | 40 | 178 | 22 | 8 | 190 | 15 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | DSL Dodgers 1 | — | 249 | 214 | 47 | 4 | 3 | 2 | 30 | 44 | 4 | 13 | 10 | 220 | 327 | 294 | 621 | 75 | 266 | 18 | 12 | 291 | 15 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | DSL Dodgers Guerrero | — | 242 | 213 | 35 | 2 | 3 | 1 | 23 | 43 | 4 | 19 | 5 | 164 | 258 | 216 | 474 | 52 | 200 | 18 | 10 | 217 | 33 | — | — | — | — | — | — |
| 2018 | 19 | ROK RAW | DSL Dodgers Guerrero | — | 242 | 202 | 52 | 3 | 5 | 2 | 34 | 35 | 4 | 19 | 5 | 257 | 375 | 351 | 726 | 94 | 301 | 14 | 14 | 334 | 33 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | AZL Dodgers Lasorda | — | 177 | 151 | 31 | 3 | 0 | 3 | 19 | 47 | 3 | 10 | 3 | 205 | 306 | 285 | 591 | 79 | 267 | 27 | 11 | 273 | 71 | — | — | — | — | — | — |
| 2019 | 20 | ROK RAW | AZL Dodgers Lasorda | — | 177 | 139 | 41 | 5 | 0 | 4 | 31 | 33 | 3 | 10 | 3 | 295 | 434 | 417 | 851 | 122 | 349 | 19 | 18 | 382 | 71 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | Rancho Cucamonga Quakes | — | 379 | 340 | 76 | 12 | 5 | 3 | 24 | 115 | 13 | 22 | 3 | 224 | 300 | 315 | 614 | 91 | 326 | 30 | 6 | 272 | 70 | — | — | — | — | — | — |
| 2021 | 22 | A RAW | Rancho Cucamonga Quakes | — | 379 | 329 | 90 | 18 | 6 | 4 | 35 | 86 | 13 | 22 | 3 | 274 | 366 | 401 | 767 | 128 | 357 | 23 | 9 | 346 | 70 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | Great Lakes Loons | — | 212 | 197 | 36 | 8 | 0 | 2 | 11 | 58 | 2 | 3 | 2 | 183 | 233 | 254 | 487 | 71 | 246 | 27 | 5 | 214 | 31 | — | — | — | — | — | — |
| 2022 | 23 | A+ RAW | Great Lakes Loons | — | 212 | 192 | 41 | 10 | 0 | 2 | 16 | 47 | 2 | 3 | 2 | 214 | 281 | 297 | 578 | 83 | 271 | 22 | 8 | 264 | 31 | — | — | — | — | — | — |
| 2023 | 24 | INTL MLE | RA12 | — | 80 | 70 | 10 | 0 | 1 | 0 | 6 | 20 | 2 | 3 | 1 | 143 | 231 | 171 | 402 | 29 | 196 | 25 | 8 | — | — | — | — | — | — | — | — |
| 2023 | 24 | INTL RAW | RA12 | — | 80 | 70 | 10 | 0 | 1 | 0 | 6 | 20 | 2 | 3 | 1 | 143 | 231 | 171 | 402 | 29 | 196 | 25 | 8 | 193 | 17 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | DSL Dodgers 1 | — | 249 | 222 | 31 | 2 | 2 | 1 | 21 | 54 | 4 | 13 | 10 | 140 | 226 | 180 | 406 | 41 | 177 | 22 | 8 | 190 | 15 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | DSL Dodgers Guerrero | — | 242 | 213 | 35 | 2 | 3 | 1 | 23 | 43 | 4 | 19 | 5 | 164 | 258 | 216 | 474 | 52 | 194 | 18 | 10 | 217 | 33 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | AZL Dodgers Lasorda | — | 177 | 153 | 31 | 3 | 0 | 3 | 19 | 47 | 3 | 10 | 3 | 203 | 306 | 281 | 587 | 78 | 261 | 27 | 11 | 273 | 71 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | Rancho Cucamonga Quakes | — | 379 | 339 | 76 | 12 | 5 | 3 | 24 | 115 | 13 | 22 | 3 | 224 | 300 | 316 | 615 | 91 | 320 | 30 | 6 | 272 | 70 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | Great Lakes Loons | — | 212 | 197 | 36 | 8 | 0 | 2 | 11 | 58 | 2 | 3 | 2 | 183 | 233 | 254 | 487 | 71 | 242 | 27 | 5 | 214 | 31 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1339 | 1194 | 219 | 27 | 11 | 10 | 104 | 337 | 28 | 70 | 24 | 183 | 265 | 250 | 514 | 66 | 244 | 25 | 8 | 222 | 36 | -102 | +4 | +0 | -8 | +29 | -7.8 | |
| / 162G | — | MLE | — | 650 | 580 | 106 | 13 | 5 | 5 | 50 | 164 | 14 | 34 | 12 | 183 | 264 | 248 | 512 | 66 | 243 | 25 | 8 | 222 | 36 | -49 | +2 | +0 | -4 | +14 | -3.8 | |
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+Great Lakes Loons · 212 PAwOBA .258 → .214 (−44)K% 22.2% → 27.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.17% | ÷1.033 | ×1.270 | — | — | 27.26% |
| BB% (unintentional) /PA | 7.55% | ÷0.980 | ×0.710 | — | ×0.988 | 5.40% |
| HBP% /PA | 0.94% | — | ×0.790 | — | ×0.988 | 0.74% |
| Singles /BIP | 20.00% | ÷1.026 | ×0.920 | ×1.036 | ×0.988 | 18.35% |
| Doubles /BIP | 6.90% | ÷0.985 | ×0.810 | ×1.036 | ×0.988 | 5.81% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.850 | ×1.036 | ×0.988 | 0.00% |
| Home runs /BIP | 1.38% | ÷1.013 | ×0.800 | — | ×0.988 | 1.08% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 103, 1B 105, 2B 97, 3B 130, K 107, BB 96 — 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 ×1.036.
Result: wOBA .258 → .214; ISO .083 → .066; BABIP .271 → .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).
2021 ARancho Cucamonga Quakes · 379 PAwOBA .339 → .272 (−67)K% 22.7% → 30.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.69% | ÷1.015 | ×1.360 | — | — | 30.40% |
| BB% (unintentional) /PA | 9.23% | ÷0.985 | ×0.690 | — | ×0.990 | 6.40% |
| HBP% /PA | 3.43% | — | ×0.780 | — | ×0.990 | 2.65% |
| Singles /BIP | 25.51% | ÷0.965 | ×0.920 | ×1.008 | ×0.990 | 24.27% |
| Doubles /BIP | 7.41% | ÷1.166 | ×0.830 | ×1.008 | ×0.990 | 5.26% |
| Triples /BIP | 2.47% | ÷0.960 | ×0.910 | ×1.008 | ×0.990 | 2.34% |
| Home runs /BIP | 1.65% | ÷0.965 | ×0.800 | — | ×0.990 | 1.35% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 93, 2B 133, 3B 92, K 103, BB 97 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.
Result: wOBA .339 → .272; ISO .128 → .098; BABIP .357 → .320. 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 Lasorda · 177 PAwOBA .381 → .273 (−108)K% 18.6% → 26.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.64% | ÷1.000 | ×1.440 | — | — | 26.85% |
| BB% (unintentional) /PA | 17.51% | ÷1.000 | ×0.620 | — | ×0.985 | 10.70% |
| HBP% /PA | 1.69% | — | ×0.720 | — | ×0.985 | 1.20% |
| Singles /BIP | 30.19% | ÷1.000 | ×0.820 | ×0.950 | ×0.985 | 23.16% |
| Doubles /BIP | 4.72% | ÷1.000 | ×0.720 | ×0.950 | ×0.985 | 3.18% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×0.950 | ×0.985 | 0.00% |
| Home runs /BIP | 3.77% | ÷1.000 | ×0.780 | — | ×0.985 | 2.90% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .381 → .273; ISO .122 → .093; BABIP .349 → .261. 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 DSLDSL Dodgers Guerrero · 242 PAwOBA .327 → .217 (−110)K% 14.5% → 17.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.46% | ÷1.000 | ×1.220 | — | — | 17.64% |
| BB% (unintentional) /PA | 14.05% | ÷1.000 | ×0.700 | — | ×0.985 | 9.69% |
| HBP% /PA | 1.65% | — | ×0.700 | — | ×0.985 | 1.14% |
| Singles /BIP | 25.15% | ÷1.000 | ×0.680 | ×0.985 | ×0.985 | 16.59% |
| Doubles /BIP | 1.80% | ÷1.000 | ×0.600 | ×0.985 | ×0.985 | 1.05% |
| Triples /BIP | 2.99% | ÷1.000 | ×0.600 | ×0.985 | ×0.985 | 1.74% |
| Home runs /BIP | 1.20% | ÷1.000 | ×0.470 | — | ×0.985 | 0.55% |
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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.
Result: wOBA .327 → .217; ISO .094 → .053; BABIP .301 → .194. 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 DSLDSL Dodgers 1 · 249 PAwOBA .285 → .190 (−95)K% 17.7% → 21.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.67% | ÷1.000 | ×1.220 | — | — | 21.56% |
| BB% (unintentional) /PA | 12.05% | ÷1.000 | ×0.700 | — | ×0.995 | 8.39% |
| HBP% /PA | 1.61% | — | ×0.700 | — | ×0.995 | 1.12% |
| Singles /BIP | 22.35% | ÷1.000 | ×0.680 | ×1.008 | ×0.995 | 15.25% |
| Doubles /BIP | 2.35% | ÷1.000 | ×0.600 | ×1.008 | ×0.995 | 1.42% |
| Triples /BIP | 1.76% | ÷1.000 | ×0.600 | ×1.008 | ×0.995 | 1.06% |
| Home runs /BIP | 1.18% | ÷1.000 | ×0.470 | — | ×0.995 | 0.55% |
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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.
Result: wOBA .285 → .190; ISO .075 → .042; BABIP .266 → .177. 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 — .