Alexander Suarez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 20 | ASF | 346 | .231/.301/.412 | 12 | 13 | 41 | — | .172/.233/.299 |
| 2023 | 21 | ASF | 404 | .245/.313/.353 | 6 | 22 | 34 | — | .181/.241/.265 |
| 2024 | 22 | A+SF | 217 | .282/.326/.475 | 9 | 15 | 63 | — | .215/.251/.361 |
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 Giants | — | 53 | 39 | 12 | 4 | 0 | 1 | 10 | 12 | 3 | 2 | 3 | 308 | 481 | 487 | 968 | 179 | 407 | 23 | 19 | 429 | 84 | — | — | — | — | — | — |
| 2021 | 19 | ROK | ACL Giants Black | — | 214 | 193 | 60 | 15 | 2 | 6 | 10 | 72 | 11 | 16 | 4 | 311 | 379 | 503 | 881 | 192 | 470 | 34 | 5 | 390 | 33 | — | — | — | — | — | — |
| 2022 | 20 | A | San Jose Giants | — | 346 | 308 | 71 | 14 | 3 | 12 | 18 | 101 | 13 | 13 | 1 | 231 | 301 | 412 | 713 | 182 | 294 | 29 | 5 | 312 | 41 | — | — | — | — | — | — |
| 2023 | 21 | A | San Jose Giants | — | 404 | 363 | 89 | 11 | 5 | 6 | 22 | 110 | 14 | 22 | 5 | 245 | 313 | 353 | 666 | 107 | 331 | 27 | 5 | 299 | 34 | — | — | — | — | — | — |
| 2024 | 22 | A+ | Eugene Emeralds | — | 217 | 202 | 57 | 12 | 0 | 9 | 9 | 56 | 4 | 15 | 3 | 282 | 326 | 475 | 801 | 193 | 345 | 26 | 4 | 350 | 63 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 17 | ROK MLE | DSL Giants | — | 53 | 42 | 9 | 3 | 0 | 1 | 7 | 15 | 3 | 2 | 3 | 214 | 365 | 357 | 723 | 143 | 263 | 28 | 13 | 293 | 84 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL Giants Black | — | 214 | 197 | 33 | 7 | 1 | 3 | 6 | 109 | 11 | 16 | 4 | 168 | 234 | 259 | 493 | 91 | 352 | 51 | 3 | 217 | 33 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | San Jose Giants | — | 346 | 314 | 54 | 10 | 3 | 8 | 12 | 146 | 13 | 13 | 1 | 172 | 233 | 299 | 532 | 127 | 263 | 42 | 3 | 229 | 41 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | San Jose Giants | — | 404 | 370 | 67 | 8 | 4 | 5 | 15 | 160 | 14 | 22 | 5 | 181 | 241 | 265 | 505 | 84 | 283 | 40 | 4 | 219 | 34 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | Eugene Emeralds | — | 217 | 205 | 44 | 9 | 0 | 7 | 6 | 78 | 4 | 15 | 3 | 215 | 251 | 361 | 612 | 146 | 302 | 36 | 3 | 262 | 63 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Giants | — | 53 | 42 | 9 | 3 | 0 | 1 | 7 | 15 | 3 | 2 | 3 | 214 | 365 | 357 | 723 | 143 | 296 | 28 | 13 | 293 | 84 | — | — | — | — | — | — |
| 2019 | 17 | ROK RAW | DSL Giants | — | 53 | 39 | 12 | 4 | 0 | 1 | 10 | 12 | 3 | 2 | 3 | 308 | 481 | 487 | 968 | 179 | 407 | 23 | 19 | 429 | 84 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL Giants Black | — | 214 | 197 | 33 | 7 | 1 | 3 | 6 | 109 | 11 | 16 | 4 | 168 | 234 | 259 | 493 | 91 | 353 | 51 | 3 | 217 | 33 | — | — | — | — | — | — |
| 2021 | 19 | ROK RAW | ACL Giants Black | — | 214 | 193 | 60 | 15 | 2 | 6 | 10 | 72 | 11 | 16 | 4 | 311 | 379 | 503 | 881 | 192 | 470 | 34 | 5 | 390 | 33 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | San Jose Giants | — | 346 | 314 | 54 | 10 | 3 | 8 | 12 | 146 | 13 | 13 | 1 | 172 | 233 | 299 | 532 | 127 | 277 | 42 | 3 | 229 | 41 | — | — | — | — | — | — |
| 2022 | 20 | A RAW | San Jose Giants | — | 346 | 308 | 71 | 14 | 3 | 12 | 18 | 101 | 13 | 13 | 1 | 231 | 301 | 412 | 713 | 182 | 294 | 29 | 5 | 312 | 41 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | San Jose Giants | — | 404 | 370 | 67 | 8 | 4 | 5 | 15 | 160 | 14 | 22 | 5 | 181 | 241 | 265 | 505 | 84 | 297 | 40 | 4 | 219 | 34 | — | — | — | — | — | — |
| 2023 | 21 | A RAW | San Jose Giants | — | 404 | 363 | 89 | 11 | 5 | 6 | 22 | 110 | 14 | 22 | 5 | 245 | 313 | 353 | 666 | 107 | 331 | 27 | 5 | 299 | 34 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | Eugene Emeralds | — | 217 | 205 | 44 | 9 | 0 | 7 | 6 | 78 | 4 | 15 | 3 | 215 | 251 | 361 | 612 | 146 | 303 | 36 | 3 | 262 | 63 | — | — | — | — | — | — |
| 2024 | 22 | A+ RAW | Eugene Emeralds | — | 217 | 202 | 57 | 12 | 0 | 9 | 9 | 56 | 4 | 15 | 3 | 282 | 326 | 475 | 801 | 193 | 345 | 26 | 4 | 350 | 63 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Giants | — | 53 | 43 | 9 | 3 | 0 | 1 | 7 | 15 | 3 | 2 | 3 | 209 | 365 | 349 | 714 | 140 | 263 | 28 | 13 | 293 | 84 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL Giants Black | — | 214 | 195 | 33 | 7 | 1 | 3 | 6 | 109 | 11 | 16 | 4 | 169 | 234 | 262 | 495 | 92 | 352 | 51 | 3 | 217 | 33 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | San Jose Giants | — | 346 | 318 | 54 | 10 | 3 | 8 | 12 | 146 | 13 | 13 | 1 | 170 | 233 | 296 | 529 | 126 | 263 | 42 | 3 | 229 | 41 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | San Jose Giants | — | 404 | 372 | 67 | 8 | 4 | 5 | 15 | 160 | 14 | 22 | 5 | 180 | 241 | 263 | 504 | 83 | 283 | 40 | 4 | 219 | 34 | — | — | — | — | — | — |
| 2024 | 22 | A+ MLE | Eugene Emeralds | — | 217 | 205 | 44 | 9 | 0 | 7 | 6 | 78 | 4 | 15 | 3 | 215 | 251 | 361 | 612 | 146 | 302 | 36 | 3 | 262 | 63 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | A+ MLE | Eugene Emeralds | — | 217 | 205 | 44 | 9 | 0 | 7 | 6 | 78 | 4 | 15 | 3 | 215 | 251 | 361 | 612 | 146 | 302 | 36 | 3 | 262 | 63 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1234 | 1128 | 207 | 37 | 8 | 24 | 46 | 508 | 45 | 68 | 16 | 184 | 244 | 294 | 539 | 111 | 300 | 41 | 4 | 232 | 43 | -83 | +7 | +0 | +4 | +27 | -4.6 | |
| / 162G | — | MLE | — | 650 | 594 | 109 | 19 | 4 | 13 | 24 | 268 | 24 | 36 | 8 | 184 | 245 | 295 | 539 | 111 | 300 | 41 | 4 | 232 | 43 | -44 | +4 | +0 | +2 | +14 | -2.4 | |
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.
2024 A+Eugene Emeralds · 217 PAwOBA .343 → .262 (−81)K% 25.8% → 36.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.81% | ÷0.968 | ×1.350 | — | — | 36.01% |
| BB% (unintentional) /PA | 4.15% | ÷1.024 | ×0.710 | — | ×0.998 | 2.87% |
| HBP% /PA | 1.84% | — | ×0.810 | — | ×0.998 | 1.49% |
| Singles /BIP | 24.66% | ÷1.016 | ×0.910 | ×0.996 | ×0.998 | 21.96% |
| Doubles /BIP | 8.22% | ÷0.950 | ×0.830 | ×0.996 | ×0.998 | 7.14% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.820 | ×0.996 | ×0.998 | 0.00% |
| Home runs /BIP | 6.16% | ÷1.010 | ×0.830 | — | ×0.998 | 5.06% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 103, 2B 90, 3B 130, K 94, BB 105 — 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 ×0.996.
Result: wOBA .343 → .262; ISO .193 → .143; BABIP .345 → .302. 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).
2023 ASan Jose Giants · 404 PAwOBA .295 → .219 (−76)K% 27.2% → 39.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.23% | ÷0.935 | ×1.360 | — | — | 39.60% |
| BB% (unintentional) /PA | 5.45% | ÷1.011 | ×0.690 | — | — | 3.72% |
| HBP% /PA | 3.47% | — | ×0.780 | — | — | 2.70% |
| Singles /BIP | 26.48% | ÷1.049 | ×0.920 | ×0.981 | — | 22.78% |
| Doubles /BIP | 4.35% | ÷1.005 | ×0.830 | ×0.981 | — | 3.52% |
| Triples /BIP | 1.98% | ÷0.900 | ×0.910 | ×0.981 | — | 1.96% |
| Home runs /BIP | 2.37% | ÷0.890 | ×0.800 | — | — | 2.13% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 110, 2B 101, 3B 80, K 87, BB 102 — 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 ×0.981.
Result: wOBA .295 → .219; ISO .107 → .083; BABIP .331 → .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).
2022 ASan Jose Giants · 346 PAwOBA .309 → .229 (−80)K% 29.2% → 42.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.19% | ÷0.943 | ×1.360 | — | — | 42.09% |
| BB% (unintentional) /PA | 5.20% | ÷1.055 | ×0.690 | — | ×1.015 | 3.45% |
| HBP% /PA | 3.76% | — | ×0.780 | — | ×1.015 | 2.97% |
| Singles /BIP | 20.29% | ÷0.983 | ×0.920 | ×0.973 | ×1.015 | 18.74% |
| Doubles /BIP | 6.76% | ÷0.957 | ×0.830 | ×0.973 | ×1.015 | 5.79% |
| Triples /BIP | 1.45% | ÷0.900 | ×0.910 | ×0.973 | ×1.015 | 1.45% |
| Home runs /BIP | 5.80% | ÷1.063 | ×0.800 | — | ×1.015 | 4.43% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 91, 3B 80, K 89, BB 111 — 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 ×0.973.
Result: wOBA .309 → .229; ISO .182 → .127; BABIP .294 → .263. 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 ROKACL Giants Black · 214 PAwOBA .380 → .217 (−162)K% 33.6% → 51.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.64% | ÷0.950 | ×1.440 | — | — | 50.97% |
| BB% (unintentional) /PA | 4.67% | ÷0.958 | ×0.620 | — | ×0.995 | 3.01% |
| HBP% /PA | 5.14% | — | ×0.720 | — | ×0.995 | 3.68% |
| Singles /BIP | 30.58% | ÷1.003 | ×0.820 | ×0.994 | ×0.995 | 24.72% |
| Doubles /BIP | 12.40% | ÷1.069 | ×0.720 | ×0.994 | ×0.995 | 8.26% |
| Triples /BIP | 1.65% | ÷1.045 | ×0.720 | ×0.994 | ×0.995 | 1.13% |
| Home runs /BIP | 4.96% | ÷1.222 | ×0.780 | — | ×0.995 | 3.15% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 144, 1B 101, 2B 114, 3B 109, K 90, BB 92 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.
Result: wOBA .380 → .217; ISO .192 → .094; BABIP .470 → .352. 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 Giants · 53 PAwOBA .427 → .293 (−134)K% 22.6% → 27.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.64% | ÷1.000 | ×1.220 | — | — | 27.62% |
| BB% (unintentional) /PA | 18.87% | ÷1.000 | ×0.700 | — | ×1.008 | 13.31% |
| HBP% /PA | 5.66% | — | ×0.700 | — | ×1.008 | 3.99% |
| Singles /BIP | 25.93% | ÷1.000 | ×0.680 | — | ×1.008 | 17.76% |
| Doubles /BIP | 14.81% | ÷1.000 | ×0.600 | — | ×1.008 | 8.96% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | — | ×1.008 | 0.00% |
| Home runs /BIP | 3.70% | ÷1.000 | ×0.470 | — | ×1.008 | 1.75% |
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).
Result: wOBA .427 → .293; ISO .179 → .106; BABIP .407 → .263. 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).