Carlos Rondon
C DSL NYY Bombers| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 18 | ROKDSL NYY Yanke… | 82 | .131/.354/.131 | 0 | 3 | 11 | — | .091/.268/.091 |
| 2025 | 19 | ROKDSL NYY Bombe… | 86 | .281/.459/.484 | 3 | 1 | 67 | — | .159/.318/.232 |
| 2027PROJMLE | 21 | MLBNYY | 196 | .186/.282/.258 | 2 | 2 | 58 | 0.0 | |
| 2028PROJ34% MLB | 22 | MLBNYY | 24 | .192/.286/.275 | 0 | 0 | 62 | -0.0 | |
| 2029PROJ50% MLB | 23 | MLBNYY | 77 | .197/.290/.288 | 1 | 1 | 66 | 0.0 |
Tools · 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. 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) | |||||||||||||||||||||||||||||||
| 2024 | 18 | ROK | DSL NYY Yankees | — | 82 | 61 | 8 | 0 | 0 | 0 | 18 | 24 | 3 | 3 | 1 | 131 | 354 | 131 | 485 | 216 | 29 | 22 | 268 | 11 | — | — | — | — | — | — | |
| 2025 | 19 | ROK | DSL NYY Bombers | — | 86 | 64 | 18 | 4 | 0 | 3 | 18 | 30 | 3 | 1 | 0 | 281 | 459 | 484 | 943 | 203 | 469 | 35 | 21 | 420 | 67 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2024 | 18 | ROK MLE | DSL NYY Yankees | — | 82 | 66 | 6 | 0 | 0 | 0 | 13 | 29 | 3 | 3 | 1 | 91 | 268 | 91 | 359 | 146 | 35 | 16 | 185 | 11 | — | — | — | — | — | — | |
| 2025 | 19 | ROK MLE | DSL NYY Bombers | — | 86 | 69 | 11 | 2 | 0 | 1 | 13 | 37 | 3 | 1 | 0 | 159 | 318 | 232 | 550 | 72 | 294 | 43 | 15 | 267 | 67 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL NYY Yankees | — | 82 | 66 | 6 | 0 | 0 | 0 | 13 | 29 | 3 | 3 | 1 | 91 | 268 | 91 | 359 | 162 | 35 | 16 | 185 | 11 | — | — | — | — | — | — | |
| 2024 | 18 | ROK RAW | DSL NYY Yankees | — | 82 | 61 | 8 | 0 | 0 | 0 | 18 | 24 | 3 | 3 | 1 | 131 | 354 | 131 | 485 | 216 | 29 | 22 | 268 | 11 | — | — | — | — | — | — | |
| 2025 | 19 | ROK MLE | DSL NYY Bombers | — | 86 | 69 | 11 | 2 | 0 | 1 | 13 | 37 | 3 | 1 | 0 | 159 | 318 | 232 | 550 | 72 | 312 | 43 | 15 | 267 | 67 | — | — | — | — | — | — |
| 2025 | 19 | ROK RAW | DSL NYY Bombers | — | 86 | 64 | 18 | 4 | 0 | 3 | 18 | 30 | 3 | 1 | 0 | 281 | 459 | 484 | 943 | 203 | 469 | 35 | 21 | 420 | 67 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL NYY Yankees | — | 82 | 66 | 6 | 0 | 0 | 0 | 13 | 29 | 3 | 3 | 1 | 91 | 268 | 91 | 359 | 146 | 35 | 16 | 185 | 11 | — | — | — | — | — | — | |
| 2025 | 19 | ROK MLE | DSL NYY Bombers | — | 86 | 70 | 11 | 2 | 0 | 1 | 13 | 37 | 3 | 1 | 0 | 157 | 318 | 229 | 546 | 71 | 294 | 43 | 15 | 267 | 67 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 18 | ROK MLE | DSL NYY Yankees | — | 82 | 66 | 6 | 0 | 0 | 0 | 13 | 29 | 3 | 3 | 1 | 91 | 268 | 91 | 359 | 146 | 35 | 16 | 185 | 11 | — | — | — | — | — | — | |
| 2025 | 19 | ROK MLE | DSL NYY Bombers | — | 86 | 70 | 11 | 2 | 0 | 1 | 13 | 37 | 3 | 1 | 0 | 157 | 318 | 229 | 546 | 71 | 294 | 43 | 15 | 267 | 67 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 21 | MLB MLE | NYY | 0% | 196 | 171 | 32 | 5 | 1 | 2 | 20 | 67 | 3 | 2 | 1 | 186 | 282 | 258 | 540 | 71 | 289 | 34 | 10 | 253 | 58 | -10 | +0 | +0 | +4 | +4 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 22 | MLB MLE | NYY | 34% | 71 | 63 | 12 | 2 | 0 | 1 | 7 | 24 | 1 | 1 | 0 | 191 | 286 | 272 | 558 | 81 | 290 | 34 | 10 | 260 | 62 | -3 | +0 | +0 | +1 | +2 | -0.0 |
| 2029 | 23 | MLB MLE | NYY | 50% | 155 | 136 | 26 | 4 | 1 | 2 | 16 | 51 | 2 | 1 | 0 | 196 | 289 | 285 | 574 | 89 | 291 | 33 | 10 | 266 | 66 | -6 | +0 | +0 | +3 | +3 | 0.0 |
| 2030 | 24 | MLB MLE | NYY | 57% | 237 | 208 | 42 | 7 | 1 | 4 | 24 | 76 | 3 | 2 | 1 | 200 | 292 | 296 | 588 | 96 | 292 | 32 | 10 | 271 | 70 | -9 | +0 | +0 | +4 | +5 | 0.1 |
| 2031 | 25 | MLB MLE | NYY | 60% | 307 | 270 | 55 | 9 | 2 | 5 | 30 | 97 | 4 | 2 | 1 | 203 | 294 | 305 | 599 | 102 | 292 | 32 | 10 | 276 | 73 | -10 | +0 | +0 | +5 | +7 | 0.2 |
| 2032 | 26 | MLB MLE | NYY | 62% | 356 | 313 | 65 | 11 | 2 | 6 | 35 | 111 | 5 | 3 | 1 | 206 | 296 | 312 | 608 | 107 | 292 | 31 | 10 | 279 | 75 | -11 | +0 | +0 | +6 | +8 | 0.4 |
| 2033 | 27 | MLB MLE | NYY | 63% | 379 | 334 | 68 | 11 | 2 | 7 | 37 | 119 | 5 | 3 | 1 | 205 | 295 | 310 | 605 | 105 | 291 | 31 | 10 | 277 | 74 | -12 | +0 | +0 | +7 | +8 | 0.3 |
| 2034 | 28 | MLB MLE | NYY | 65% | 387 | 341 | 69 | 11 | 2 | 7 | 38 | 122 | 5 | 3 | 1 | 203 | 293 | 305 | 598 | 102 | 290 | 32 | 10 | 275 | 72 | -13 | +0 | -1 | +7 | +8 | 0.2 |
| 2035 | 29 | MLB MLE | NYY | 65% | 385 | 339 | 68 | 11 | 2 | 6 | 38 | 122 | 5 | 3 | 2 | 200 | 290 | 298 | 588 | 98 | 288 | 32 | 10 | 271 | 69 | -14 | -0 | -1 | +7 | +8 | -0.0 |
| 2028 | 22 | MLB CTX | NYY | 34% | 24 | 22 | 4 | 1 | 0 | 0 | 2 | 8 | 0 | 0 | 0 | 192 | 286 | 275 | 561 | 83 | 290 | 33 | 8 | 261 | 62 | -1 | +0 | +0 | +0 | +1 | -0.0 |
| 2029 | 23 | MLB CTX | NYY | 50% | 77 | 68 | 13 | 2 | 0 | 1 | 8 | 25 | 1 | 1 | 0 | 197 | 290 | 288 | 578 | 92 | 291 | 32 | 10 | 268 | 66 | -3 | +0 | +0 | +1 | +2 | 0.0 |
| 2030 | 24 | MLB CTX | NYY | 57% | 134 | 118 | 24 | 4 | 1 | 2 | 13 | 43 | 2 | 1 | 0 | 201 | 293 | 300 | 593 | 99 | 292 | 32 | 10 | 273 | 70 | -5 | +0 | +0 | +2 | +3 | 0.1 |
| 2031 | 25 | MLB CTX | NYY | 60% | 185 | 162 | 33 | 5 | 1 | 3 | 18 | 58 | 3 | 1 | 0 | 204 | 295 | 309 | 605 | 105 | 292 | 31 | 10 | 277 | 73 | -6 | +0 | +0 | +3 | +4 | 0.2 |
| 2032 | 26 | MLB CTX | NYY | 62% | 222 | 195 | 40 | 7 | 1 | 4 | 22 | 69 | 3 | 2 | 1 | 207 | 297 | 317 | 614 | 111 | 292 | 31 | 10 | 281 | 75 | -7 | +0 | +0 | +4 | +5 | 0.2 |
| 2033 | 27 | MLB CTX | NYY | 63% | 240 | 211 | 44 | 7 | 1 | 5 | 24 | 75 | 3 | 2 | 1 | 206 | 296 | 314 | 610 | 109 | 291 | 31 | 10 | 279 | 74 | -7 | +0 | +0 | +4 | +5 | 0.2 |
| 2034 | 28 | MLB CTX | NYY | 65% | 252 | 222 | 45 | 7 | 1 | 5 | 25 | 79 | 3 | 2 | 1 | 204 | 294 | 309 | 603 | 106 | 290 | 31 | 10 | 277 | 72 | -8 | +0 | -0 | +4 | +5 | 0.1 |
| 2035 | 29 | MLB CTX | NYY | 65% | 250 | 220 | 44 | 7 | 1 | 4 | 25 | 79 | 3 | 2 | 1 | 201 | 291 | 303 | 593 | 102 | 288 | 32 | 10 | 273 | 69 | -9 | +0 | -1 | +4 | +5 | -0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1384 | 1218 | 247 | 40 | 6 | 24 | 137 | 436 | 18 | 11 | 4 | 203 | 293 | 305 | 597 | 102 | 292 | 32 | 10 | 276 | 69 | -47 | +1 | -1 | +25 | +30 | 0.7 | |
| / 162G | — | A+C | — | 650 | 572 | 116 | 19 | 3 | 11 | 64 | 205 | 8 | 5 | 2 | 203 | 291 | 304 | 596 | 101 | 292 | 32 | 10 | 276 | 69 | -22 | +0 | -1 | +12 | +14 | 0.4 | |
| Career | — | MLE | — | 2479 | 2169 | 427 | 69 | 12 | 39 | 254 | 800 | 37 | 22 | 8 | 197 | 292 | 294 | 586 | 97 | 289 | 32 | 10 | 270 | 69 | -79 | +1 | -2 | +41 | +50 | 1.1 | |
| / 162G | — | MLE | — | 650 | 569 | 111 | 18 | 3 | 10 | 67 | 210 | 10 | 6 | 2 | 195 | 291 | 290 | 581 | 95 | 287 | 32 | 10 | 270 | 69 | -22 | +0 | -1 | +12 | +14 | 0.3 | |
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.
2025 DSLDSL NYY Bombers · 86 PAwOBA .415 → .267 (−148)K% 34.9% → 42.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.88% | ÷0.997 | ×1.220 | — | — | 42.69% |
| BB% (unintentional) /PA | 20.93% | ÷0.966 | ×0.700 | — | ×0.995 | 15.08% |
| HBP% /PA | 3.49% | — | ×0.700 | — | ×0.995 | 2.43% |
| Singles /BIP | 32.35% | ÷0.985 | ×0.680 | — | ×0.995 | 22.21% |
| Doubles /BIP | 11.76% | ÷1.019 | ×0.600 | — | ×0.995 | 6.89% |
| Triples /BIP | 0.00% | ÷0.961 | ×0.600 | — | ×0.995 | 0.00% |
| Home runs /BIP | 8.82% | ÷1.090 | ×0.470 | — | ×0.995 | 3.79% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 97, 2B 104, 3B 92, K 99, BB 93 — 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).
Result: wOBA .415 → .267; ISO .203 → .098; BABIP .469 → .294. 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).
2024 DSLDSL NYY Yankees · 82 PAwOBA .264 → .185 (−79)K% 29.3% → 35.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.27% | ÷1.003 | ×1.220 | — | — | 35.59% |
| BB% (unintentional) /PA | 21.95% | ÷1.003 | ×0.700 | — | ×1.008 | 15.43% |
| HBP% /PA | 3.66% | — | ×0.700 | — | ×1.008 | 2.58% |
| Singles /BIP | 21.62% | ÷1.015 | ×0.680 | — | ×1.008 | 14.60% |
| Doubles /BIP | 0.00% | ÷1.021 | ×0.600 | — | ×1.008 | 0.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | — | ×1.008 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.952 | ×0.470 | — | ×1.008 | 0.00% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 104, 3B 100, K 101, BB 101 — 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 .264 → .185; ISO .000 → .000; BABIP .216 → .146. 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).