Cam Maldonado
RF San Jose Giants| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2025 | 21 | ASF | 71 | .237/.357/.339 | 0 | 5 | 41 | — | .175/.257/.238 |
| 2026 | 22 | A+/A/ROKSF | 437 | .265/.350/.513 | 22 | 22 | 77 | — | .201/.266/.377 |
| 2027PROJMLE | 23 | MLBSF | 496 | .226/.292/.399 | 18 | 12 | 93 | 0.3 | |
| 2028PROJ38% MLB | 24 | MLBSF | 136 | .224/.290/.389 | 5 | 3 | 95 | 0.1 | |
| 2029PROJ55% MLB | 25 | MLBSF | 220 | .225/.292/.391 | 7 | 5 | 96 | 0.2 |
Contract
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) | |||||||||||||||||||||||||||||||
| 2025 | 21 | A | San Jose Giants | — | 71 | 59 | 14 | 6 | 0 | 0 | 11 | 18 | 0 | 5 | 0 | 237 | 357 | 339 | 696 | 102 | 333 | 25 | 15 | 319 | 41 | — | — | — | — | — | — |
| 2026 | 22 | A+ | Eugene Emeralds | — | 96 | 81 | 23 | 4 | 1 | 8 | 9 | 22 | 3 | 5 | 2 | 284 | 372 | 654 | 1.027 | 370 | 283 | 23 | 9 | 426 | 118 | — | — | — | — | — | — |
| 2026 | 22 | A | San Jose Giants | — | 323 | 281 | 74 | 12 | 4 | 14 | 34 | 84 | 2 | 17 | 4 | 263 | 347 | 484 | 831 | 221 | 317 | 26 | 11 | 359 | 70 | — | — | — | — | — | — |
| 2026 | 22 | ROK | ACL Giants | — | 18 | 16 | 3 | 2 | 0 | 0 | 2 | 8 | 0 | 0 | 0 | 188 | 278 | 312 | 590 | 125 | 375 | 44 | 11 | 270 | -22 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2025 | 21 | A MLE | San Jose Giants | — | 71 | 63 | 11 | 4 | 0 | 0 | 7 | 25 | 0 | 5 | 0 | 175 | 257 | 238 | 495 | 63 | 278 | 35 | 10 | 229 | 41 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | Eugene Emeralds | — | 96 | 85 | 19 | 3 | 1 | 6 | 6 | 30 | 3 | 5 | 2 | 224 | 298 | 494 | 792 | 271 | 242 | 31 | 6 | 342 | 118 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | San Jose Giants | — | 323 | 292 | 58 | 9 | 3 | 10 | 23 | 114 | 2 | 17 | 4 | 199 | 262 | 353 | 615 | 154 | 269 | 35 | 7 | 271 | 70 | — | — | — | — | — | — |
| 2026 | 22 | ROK MLE | ACL Giants | — | 18 | 17 | 2 | 1 | 0 | 0 | 1 | 12 | 0 | 0 | 0 | 118 | 167 | 176 | 343 | 59 | 273 | 67 | 6 | 135 | -22 | — | — | — | — | — | — |
| 2025 | 21 | A MLE | San Jose Giants | — | 71 | 63 | 11 | 4 | 0 | 0 | 7 | 25 | 0 | 5 | 0 | 175 | 257 | 238 | 495 | 63 | 282 | 35 | 10 | 229 | 41 | — | — | — | — | — | — |
| 2025 | 21 | A RAW | San Jose Giants | — | 71 | 59 | 14 | 6 | 0 | 0 | 11 | 18 | 0 | 5 | 0 | 237 | 357 | 339 | 696 | 102 | 333 | 25 | 15 | 319 | 41 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | 3 teams | — | 437 | 393 | 80 | 13 | 4 | 17 | 31 | 156 | 5 | 22 | 6 | 204 | 270 | 387 | 657 | 183 | 276 | 36 | 7 | 281 | 76 | — | — | — | — | — | — |
| 2026 | 22 | A RAW | 3 teams | — | 437 | 378 | 100 | 18 | 5 | 22 | 45 | 114 | 5 | 22 | 6 | 265 | 350 | 513 | 863 | 249 | 312 | 26 | 10 | 370 | 76 | — | — | — | — | — | — |
| 2025 | 21 | A MLE | San Jose Giants | — | 71 | 64 | 11 | 4 | 0 | 0 | 7 | 25 | 0 | 5 | 0 | 172 | 257 | 234 | 492 | 62 | 278 | 35 | 10 | 229 | 41 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | 3 teams | — | 437 | 398 | 80 | 13 | 4 | 17 | 31 | 156 | 5 | 22 | 6 | 201 | 270 | 382 | 652 | 181 | 263 | 36 | 7 | 281 | 76 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2025 | 21 | A MLE | San Jose Giants | — | 71 | 64 | 11 | 4 | 0 | 0 | 7 | 25 | 0 | 5 | 0 | 172 | 257 | 234 | 492 | 62 | 278 | 35 | 10 | 229 | 41 | — | — | — | — | — | — |
| 2026 | 22 | A MLE | 3 teams | — | 437 | 398 | 80 | 13 | 4 | 17 | 31 | 156 | 5 | 22 | 6 | 201 | 270 | 382 | 652 | 181 | 263 | 36 | 7 | 281 | 76 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 23 | MLB MLE | SF | 0% | 496 | 452 | 102 | 18 | 3 | 18 | 36 | 138 | 5 | 12 | 3 | 226 | 292 | 399 | 691 | 173 | 282 | 28 | 7 | 305 | 93 | -4 | +1 | -1 | -5 | +11 | 0.3 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 24 | MLB MLE | SF | 38% | 361 | 327 | 75 | 14 | 2 | 13 | 27 | 99 | 4 | 9 | 2 | 229 | 295 | 403 | 698 | 174 | 284 | 27 | 7 | 308 | 95 | -2 | +1 | -0 | -4 | +8 | 0.2 |
| 2029 | 25 | MLB MLE | SF | 55% | 398 | 361 | 82 | 15 | 2 | 14 | 30 | 108 | 4 | 10 | 2 | 230 | 296 | 405 | 701 | 175 | 284 | 27 | 8 | 310 | 96 | -2 | +1 | -0 | -4 | +9 | 0.3 |
| 2030 | 26 | MLB MLE | SF | 64% | 419 | 380 | 88 | 16 | 3 | 15 | 32 | 113 | 4 | 10 | 3 | 231 | 297 | 405 | 702 | 174 | 284 | 27 | 8 | 310 | 96 | -2 | +1 | -0 | -4 | +9 | 0.3 |
| 2031 | 27 | MLB MLE | SF | 66% | 427 | 387 | 89 | 16 | 3 | 15 | 33 | 115 | 4 | 10 | 3 | 230 | 298 | 402 | 700 | 172 | 284 | 27 | 8 | 310 | 96 | -2 | +1 | -0 | -5 | +9 | 0.3 |
| 2032 | 28 | MLB MLE | SF | 67% | 426 | 386 | 88 | 16 | 2 | 15 | 33 | 114 | 4 | 9 | 3 | 229 | 297 | 398 | 695 | 169 | 283 | 27 | 8 | 308 | 94 | -3 | +1 | -1 | -5 | +9 | 0.1 |
| 2033 | 29 | MLB MLE | SF | 66% | 416 | 377 | 86 | 16 | 2 | 14 | 32 | 113 | 4 | 8 | 3 | 227 | 294 | 391 | 685 | 165 | 282 | 27 | 8 | 304 | 92 | -4 | +0 | -2 | -4 | +9 | -0.1 |
| 2034 | 30 | MLB MLE | SF | 65% | 404 | 366 | 82 | 15 | 2 | 13 | 31 | 111 | 4 | 8 | 3 | 224 | 290 | 384 | 674 | 160 | 280 | 27 | 8 | 299 | 89 | -5 | +0 | -3 | -4 | +9 | -0.3 |
| 2028 | 24 | MLB CTX | SF | 38% | 136 | 124 | 28 | 5 | 1 | 5 | 10 | 37 | 1 | 3 | 1 | 224 | 290 | 389 | 679 | 165 | 279 | 27 | 7 | 301 | 95 | -1 | +0 | -0 | -1 | +3 | 0.1 |
| 2029 | 25 | MLB CTX | SF | 55% | 220 | 199 | 44 | 8 | 1 | 7 | 17 | 60 | 2 | 5 | 1 | 225 | 292 | 391 | 683 | 166 | 280 | 27 | 8 | 303 | 96 | -1 | +1 | -0 | -2 | +5 | 0.2 |
| 2030 | 26 | MLB CTX | SF | 64% | 267 | 242 | 55 | 10 | 2 | 9 | 20 | 72 | 3 | 6 | 2 | 226 | 293 | 391 | 684 | 165 | 280 | 27 | 7 | 303 | 96 | -1 | +0 | -0 | -3 | +6 | 0.2 |
| 2031 | 27 | MLB CTX | SF | 66% | 280 | 253 | 58 | 11 | 2 | 9 | 22 | 75 | 3 | 7 | 2 | 225 | 293 | 388 | 682 | 163 | 280 | 27 | 8 | 302 | 96 | -1 | +1 | -0 | -3 | +6 | 0.2 |
| 2032 | 28 | MLB CTX | SF | 67% | 284 | 257 | 58 | 11 | 2 | 9 | 22 | 76 | 3 | 6 | 2 | 224 | 292 | 384 | 677 | 160 | 279 | 27 | 8 | 301 | 94 | -2 | +0 | -1 | -3 | +6 | 0.1 |
| 2033 | 29 | MLB CTX | SF | 66% | 273 | 247 | 54 | 10 | 1 | 8 | 21 | 74 | 3 | 6 | 2 | 222 | 289 | 378 | 668 | 156 | 278 | 27 | 8 | 297 | 92 | -3 | +0 | -1 | -3 | +6 | -0.0 |
| 2034 | 30 | MLB CTX | SF | 65% | 263 | 239 | 52 | 10 | 1 | 8 | 20 | 72 | 2 | 5 | 2 | 219 | 286 | 371 | 657 | 152 | 276 | 27 | 8 | 292 | 89 | -4 | +0 | -2 | -3 | +6 | -0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1723 | 1561 | 349 | 65 | 10 | 55 | 132 | 466 | 17 | 38 | 12 | 224 | 291 | 384 | 675 | 160 | 281 | 27 | 8 | 300 | 91 | -13 | +3 | -5 | -18 | +37 | 0.4 | |
| / 162G | — | A+C | — | 650 | 589 | 133 | 25 | 4 | 21 | 50 | 176 | 6 | 14 | 5 | 226 | 293 | 389 | 682 | 163 | 284 | 27 | 8 | 300 | 91 | -5 | +1 | -2 | -7 | +14 | 0.2 | |
| Career | — | MLE | — | 3569 | 3231 | 725 | 133 | 21 | 124 | 271 | 1013 | 35 | 96 | 26 | 224 | 291 | 394 | 685 | 169 | 284 | 28 | 8 | 302 | 91 | -22 | +6 | -7 | -33 | +66 | 1.0 | |
| / 162G | — | MLE | — | 650 | 588 | 132 | 24 | 4 | 23 | 49 | 184 | 6 | 17 | 5 | 224 | 290 | 396 | 686 | 172 | 283 | 28 | 8 | 302 | 91 | -5 | +1 | -2 | -7 | +14 | 0.2 | |
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.
2026 ASan Jose Giants · 323 PAwOBA .356 → .271 (−85)K% 26.0% → 35.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.01% | ÷1.000 | ×1.360 | — | — | 35.37% |
| BB% (unintentional) /PA | 10.53% | ÷1.000 | ×0.690 | — | ×0.990 | 7.19% |
| HBP% /PA | 0.62% | — | ×0.780 | — | ×0.990 | 0.48% |
| Singles /BIP | 22.34% | ÷1.000 | ×0.920 | ×0.967 | ×0.990 | 19.67% |
| Doubles /BIP | 6.09% | ÷1.000 | ×0.830 | ×0.967 | ×0.990 | 4.84% |
| Triples /BIP | 2.03% | ÷1.000 | ×0.910 | ×0.967 | ×0.990 | 1.77% |
| Home runs /BIP | 7.11% | ÷1.000 | ×0.800 | — | ×0.990 | 5.63% |
Factors used: level-wide A 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 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 ×0.967.
Result: wOBA .356 → .271; ISO .221 → .165; BABIP .317 → .269. 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).
2026 A+Eugene Emeralds · 96 PAwOBA .423 → .342 (−81)K% 22.9% → 30.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.92% | ÷1.000 | ×1.350 | — | — | 30.94% |
| BB% (unintentional) /PA | 9.38% | ÷1.000 | ×0.710 | — | ×0.998 | 6.64% |
| HBP% /PA | 3.12% | — | ×0.810 | — | ×0.998 | 2.53% |
| Singles /BIP | 16.95% | ÷1.000 | ×0.910 | ×0.999 | ×0.998 | 15.37% |
| Doubles /BIP | 6.78% | ÷1.000 | ×0.830 | ×0.999 | ×0.998 | 5.61% |
| Triples /BIP | 1.69% | ÷1.000 | ×0.820 | ×0.999 | ×0.998 | 1.39% |
| Home runs /BIP | 13.56% | ÷1.000 | ×0.830 | — | ×0.998 | 11.23% |
Factors used: level-wide A+ 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 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 ×0.999.
Result: wOBA .423 → .342; ISO .370 → .299; BABIP .283 → .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).
2026 ROKACL Giants · 18 PAwOBA .264 → .135 (−129)K% 44.4% → 64.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 44.44% | ÷1.000 | ×1.440 | — | — | 64.00% |
| BB% (unintentional) /PA | 11.11% | ÷1.000 | ×0.620 | — | ×0.965 | 6.65% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.965 | 0.00% |
| Singles /BIP | 12.50% | ÷1.000 | ×0.820 | — | ×0.965 | 9.89% |
| Doubles /BIP | 25.00% | ÷1.000 | ×0.720 | — | ×0.965 | 17.37% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.965 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.965 | 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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).
Result: wOBA .264 → .135; ISO .125 → .057; BABIP .375 → .273. 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).
2025 ASan Jose Giants · 71 PAwOBA .310 → .229 (−81)K% 25.4% → 35.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.35% | ÷0.962 | ×1.360 | — | — | 35.86% |
| BB% (unintentional) /PA | 14.08% | ÷1.055 | ×0.690 | — | — | 9.21% |
| HBP% /PA | 0.00% | — | ×0.780 | — | — | 0.00% |
| Singles /BIP | 19.51% | ÷1.007 | ×0.920 | — | — | 17.82% |
| Doubles /BIP | 14.63% | ÷1.138 | ×0.830 | — | — | 10.67% |
| Triples /BIP | 0.00% | ÷0.902 | ×0.910 | — | — | 0.00% |
| Home runs /BIP | 0.00% | ÷1.358 | ×0.800 | — | — | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 172, 1B 101, 2B 128, 3B 80, K 92, BB 111 — 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).
Result: wOBA .310 → .229; ISO .102 → .071; BABIP .333 → .278. 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).