Kaeden Kent
SS Eugene Emeralds| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2025 | 21 | A+NYY | 106 | .186/.217/.265 | 2 | 0 | 3 | — | .155/.179/.223 |
| 2026 | 22 | A+/INTL2 orgs | 440 | .299/.355/.430 | 8 | 28 | 79 | — | .245/.287/.355 |
| 2027PROJMLE | 23 | MLBSF | 1 | .228/.274/.338 | 0 | 0 | 74 | -0.0 | |
| 2028PROJ30% MLB | 24 | MLBSF | 96 | .231/.278/.347 | 2 | 2 | 78 | 0.1 | |
| 2029PROJ44% MLB | 25 | MLBSF | 162 | .232/.281/.352 | 3 | 3 | 81 | 0.1 |
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+ | Hudson Valley Renegades | — | 106 | 102 | 19 | 2 | 0 | 2 | 3 | 19 | 1 | 0 | 1 | 186 | 217 | 265 | 482 | 78 | 210 | 18 | 3 | 218 | 3 | — | — | — | — | — | — |
| 2026 | 22 | A+ | Eugene Emeralds | — | 400 | 366 | 109 | 24 | 2 | 8 | 30 | 64 | 1 | 24 | 4 | 298 | 353 | 440 | 793 | 142 | 340 | 16 | 8 | 351 | 76 | — | — | — | — | — | — |
| 2026 | 22 | INTL | Scottsdale Scorpions | — | 40 | 36 | 11 | 1 | 0 | 0 | 4 | 6 | 0 | 4 | 0 | 306 | 375 | 333 | 708 | 28 | 367 | 15 | 10 | 328 | 108 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2025 | 21 | A+ MLE | Hudson Valley Renegades | — | 106 | 103 | 16 | 1 | 0 | 2 | 2 | 25 | 1 | 0 | 1 | 155 | 179 | 223 | 403 | 68 | 184 | 24 | 2 | 172 | 3 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | Eugene Emeralds | — | 400 | 375 | 92 | 19 | 2 | 6 | 21 | 86 | 1 | 24 | 4 | 245 | 287 | 355 | 642 | 109 | 298 | 22 | 5 | 281 | 76 | — | — | — | — | — | — |
| 2025 | 21 | A+ MLE | Hudson Valley Renegades | — | 106 | 103 | 16 | 1 | 0 | 2 | 2 | 25 | 1 | 0 | 1 | 155 | 179 | 223 | 403 | 68 | 184 | 24 | 2 | 172 | 3 | — | — | — | — | — | — |
| 2025 | 21 | A+ RAW | Hudson Valley Renegades | — | 106 | 102 | 19 | 2 | 0 | 2 | 3 | 19 | 1 | 0 | 1 | 186 | 217 | 265 | 482 | 78 | 210 | 18 | 3 | 218 | 3 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | 2 teams | — | 440 | 413 | 102 | 21 | 2 | 7 | 23 | 95 | 1 | 28 | 4 | 247 | 288 | 358 | 647 | 111 | 303 | 22 | 5 | 281 | 76 | — | — | — | — | — | — |
| 2026 | 22 | A+ RAW | 2 teams | — | 440 | 402 | 120 | 25 | 2 | 8 | 34 | 70 | 1 | 28 | 4 | 299 | 355 | 430 | 785 | 132 | 343 | 16 | 8 | 349 | 76 | — | — | — | — | — | — |
| 2025 | 21 | A+ MLE | Hudson Valley Renegades | — | 106 | 102 | 16 | 1 | 0 | 2 | 2 | 25 | 1 | 0 | 1 | 157 | 179 | 225 | 405 | 69 | 184 | 24 | 2 | 172 | 3 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | 2 teams | — | 440 | 413 | 102 | 21 | 2 | 7 | 23 | 95 | 1 | 28 | 4 | 247 | 288 | 358 | 647 | 111 | 298 | 22 | 5 | 281 | 76 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2025 | 21 | A+ MLE | Hudson Valley Renegades | — | 106 | 102 | 16 | 1 | 0 | 2 | 2 | 25 | 1 | 0 | 1 | 157 | 179 | 225 | 405 | 69 | 184 | 24 | 2 | 172 | 3 | — | — | — | — | — | — |
| 2026 | 22 | A+ MLE | 2 teams | — | 440 | 413 | 102 | 21 | 2 | 7 | 23 | 95 | 1 | 28 | 4 | 247 | 288 | 358 | 647 | 111 | 298 | 22 | 5 | 281 | 76 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 23 | MLB MLE | SF | 0% | 483 | 452 | 105 | 21 | 2 | 9 | 25 | 105 | 3 | 10 | 2 | 232 | 277 | 346 | 624 | 114 | 281 | 22 | 5 | 278 | 74 | -15 | +1 | -2 | +5 | +10 | 0.2 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 23 | MLB CTX | SF | 0% | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 228 | 274 | 338 | 612 | 110 | 278 | 0 | 0 | 273 | 74 | -0 | +0 | -0 | +0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 24 | MLB MLE | SF | 30% | 316 | 294 | 70 | 14 | 2 | 6 | 17 | 68 | 2 | 6 | 1 | 235 | 282 | 356 | 638 | 121 | 283 | 22 | 5 | 284 | 78 | -8 | +1 | -1 | +3 | +7 | 0.2 |
| 2029 | 25 | MLB MLE | SF | 44% | 366 | 340 | 81 | 16 | 2 | 8 | 21 | 79 | 2 | 6 | 1 | 236 | 285 | 361 | 646 | 125 | 283 | 22 | 6 | 287 | 81 | -8 | +1 | -1 | +4 | +8 | 0.3 |
| 2030 | 26 | MLB MLE | SF | 51% | 396 | 367 | 87 | 17 | 2 | 9 | 23 | 86 | 3 | 7 | 2 | 237 | 287 | 364 | 651 | 127 | 283 | 22 | 6 | 289 | 82 | -8 | +1 | -1 | +4 | +9 | 0.4 |
| 2031 | 27 | MLB MLE | SF | 52% | 408 | 377 | 89 | 17 | 2 | 9 | 25 | 89 | 3 | 6 | 2 | 236 | 287 | 364 | 651 | 128 | 284 | 22 | 6 | 290 | 82 | -9 | +0 | -1 | +4 | +9 | 0.4 |
| 2032 | 28 | MLB MLE | SF | 53% | 409 | 378 | 89 | 17 | 2 | 9 | 25 | 90 | 3 | 6 | 1 | 235 | 287 | 362 | 649 | 127 | 283 | 22 | 6 | 289 | 82 | -9 | +1 | -2 | +4 | +9 | 0.3 |
| 2033 | 29 | MLB MLE | SF | 53% | 402 | 372 | 86 | 17 | 2 | 8 | 25 | 90 | 2 | 5 | 1 | 233 | 285 | 356 | 640 | 123 | 282 | 22 | 6 | 286 | 79 | -10 | +1 | -3 | +4 | +9 | 0.1 |
| 2034 | 30 | MLB MLE | SF | 52% | 392 | 363 | 84 | 16 | 2 | 8 | 24 | 89 | 2 | 4 | 2 | 230 | 281 | 349 | 630 | 119 | 281 | 23 | 6 | 281 | 76 | -11 | +0 | -3 | +4 | +8 | -0.2 |
| 2028 | 24 | MLB CTX | SF | 30% | 96 | 90 | 20 | 4 | 0 | 2 | 5 | 21 | 1 | 2 | 0 | 231 | 278 | 347 | 625 | 116 | 279 | 22 | 5 | 279 | 78 | -2 | +0 | -0 | +1 | +2 | 0.1 |
| 2029 | 25 | MLB CTX | SF | 44% | 162 | 151 | 35 | 7 | 1 | 3 | 9 | 35 | 1 | 3 | 1 | 232 | 281 | 352 | 633 | 120 | 280 | 22 | 6 | 282 | 81 | -4 | +0 | -0 | +2 | +4 | 0.1 |
| 2030 | 26 | MLB CTX | SF | 51% | 201 | 186 | 44 | 9 | 1 | 4 | 12 | 44 | 1 | 3 | 1 | 233 | 283 | 355 | 637 | 122 | 280 | 22 | 6 | 284 | 82 | -4 | +0 | -1 | +2 | +4 | 0.2 |
| 2031 | 27 | MLB CTX | SF | 52% | 214 | 198 | 45 | 9 | 1 | 4 | 13 | 47 | 1 | 3 | 1 | 232 | 284 | 354 | 638 | 122 | 280 | 22 | 6 | 285 | 82 | -5 | +0 | -1 | +2 | +5 | 0.2 |
| 2032 | 28 | MLB CTX | SF | 53% | 218 | 202 | 46 | 9 | 1 | 4 | 13 | 48 | 1 | 3 | 1 | 231 | 283 | 352 | 636 | 121 | 280 | 22 | 6 | 284 | 82 | -5 | +0 | -1 | +2 | +5 | 0.2 |
| 2033 | 29 | MLB CTX | SF | 53% | 211 | 195 | 45 | 9 | 1 | 4 | 13 | 47 | 1 | 3 | 1 | 229 | 281 | 347 | 628 | 118 | 278 | 22 | 6 | 280 | 79 | -5 | +0 | -1 | +2 | +5 | 0.0 |
| 2034 | 30 | MLB CTX | SF | 52% | 204 | 189 | 44 | 9 | 1 | 4 | 12 | 46 | 1 | 2 | 1 | 226 | 278 | 340 | 618 | 114 | 277 | 23 | 6 | 276 | 76 | -6 | +0 | -2 | +2 | +4 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1306 | 1211 | 279 | 56 | 6 | 25 | 77 | 288 | 7 | 19 | 6 | 230 | 280 | 348 | 629 | 118 | 281 | 22 | 6 | 282 | 77 | -31 | +1 | -6 | +14 | +28 | 0.7 | |
| / 162G | — | A+C | — | 650 | 603 | 139 | 28 | 3 | 12 | 38 | 143 | 3 | 9 | 3 | 231 | 279 | 347 | 626 | 116 | 282 | 22 | 6 | 282 | 77 | -15 | +1 | -3 | +7 | +14 | 0.3 | |
| Career | — | MLE | — | 3445 | 3203 | 750 | 145 | 17 | 70 | 196 | 757 | 20 | 72 | 16 | 234 | 283 | 356 | 638 | 121 | 284 | 22 | 6 | 282 | 77 | -70 | +4 | -13 | +31 | +63 | 1.6 | |
| / 162G | — | MLE | — | 650 | 604 | 141 | 27 | 3 | 13 | 37 | 143 | 4 | 14 | 3 | 233 | 282 | 353 | 635 | 119 | 284 | 22 | 6 | 282 | 77 | -16 | +1 | -3 | +7 | +14 | 0.4 | |
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.
2026 A+Eugene Emeralds · 400 PAwOBA .344 → .281 (−63)K% 16.0% → 21.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.00% | ÷1.000 | ×1.350 | — | — | 21.60% |
| BB% (unintentional) /PA | 7.50% | ÷1.000 | ×0.710 | — | ×0.998 | 5.31% |
| HBP% /PA | 0.25% | — | ×0.810 | — | ×0.998 | 0.20% |
| Singles /BIP | 24.83% | ÷1.000 | ×0.910 | ×0.992 | ×0.998 | 22.37% |
| Doubles /BIP | 7.95% | ÷1.000 | ×0.830 | ×0.992 | ×0.998 | 6.53% |
| Triples /BIP | 0.66% | ÷1.000 | ×0.820 | ×0.992 | ×0.998 | 0.54% |
| Home runs /BIP | 2.65% | ÷1.000 | ×0.830 | — | ×0.998 | 2.19% |
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 ×0.992.
Result: wOBA .344 → .281; ISO .142 → .113; BABIP .340 → .298. 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 A+Hudson Valley Renegades · 106 PAwOBA .212 → .172 (−40)K% 17.9% → 23.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.92% | ÷0.985 | ×1.310 | — | — | 23.85% |
| BB% (unintentional) /PA | 2.83% | ÷0.984 | ×0.600 | — | ×1.012 | 1.75% |
| HBP% /PA | 0.94% | — | ×0.770 | — | ×1.012 | 0.74% |
| Singles /BIP | 18.07% | ÷0.991 | ×0.870 | ×1.006 | ×1.012 | 16.15% |
| Doubles /BIP | 2.41% | ÷1.014 | ×0.780 | ×1.006 | ×1.012 | 1.89% |
| Triples /BIP | 0.00% | ÷0.975 | ×0.850 | ×1.006 | ×1.012 | 0.00% |
| Home runs /BIP | 2.41% | ÷0.969 | ×0.880 | — | ×1.012 | 2.22% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 94, 1B 98, 2B 103, 3B 95, K 97, BB 97 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.
Result: wOBA .212 → .172; ISO .078 → .065; BABIP .210 → .184. 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 — .