Maui Ahuna
SS Richmond Flying Squirrels| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 22 | A/ROKSF | 149 | .268/.372/.394 | 4 | 8 | 56 | — | .203/.284/.291 |
| 2025 | 23 | A+/A/ROK/INTL2 orgs | 323 | .264/.364/.426 | 5 | 14 | 64 | — | .200/.279/.322 |
| 2026 | 24 | AASF | 460 | .228/.330/.335 | 6 | 31 | 63 | — | .214/.293/.305 |
| 2027PROJMLE | 25 | MLBSF | 4 | .189/.267/.273 | 0 | 0 | 57 | -0.0 | |
| 2028PROJ23% MLB | 26 | MLBSF | 58 | .194/.271/.287 | 1 | 2 | 62 | 0.0 | |
| 2029PROJ33% MLB | 27 | MLBSF | 93 | .195/.273/.290 | 1 | 2 | 63 | -0.0 |
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) | |||||||||||||||||||||||||||||||
| 2024 | 22 | A | San Jose Giants | — | 107 | 89 | 21 | 1 | 0 | 1 | 16 | 28 | 1 | 5 | 0 | 236 | 358 | 281 | 639 | 45 | 328 | 26 | 15 | 303 | 53 | — | — | — | — | — | — |
| 2024 | 22 | ROK | ACL Giants | — | 42 | 38 | 13 | 3 | 0 | 3 | 2 | 14 | 2 | 3 | 1 | 342 | 405 | 658 | 1.063 | 316 | 476 | 33 | 5 | 459 | 65 | — | — | — | — | — | — |
| 2025 | 23 | A+ | Eugene Emeralds | — | 52 | 45 | 14 | 7 | 0 | 0 | 7 | 14 | 0 | 1 | 0 | 311 | 404 | 467 | 871 | 156 | 452 | 27 | 13 | 389 | 85 | — | — | — | — | — | — |
| 2025 | 23 | A | San Jose Giants | — | 168 | 143 | 38 | 10 | 2 | 3 | 19 | 42 | 6 | 9 | 2 | 266 | 375 | 427 | 802 | 161 | 357 | 25 | 11 | 362 | 63 | — | — | — | — | — | — |
| 2025 | 23 | ROK | ACL Giants | — | 54 | 46 | 11 | 5 | 1 | 2 | 5 | 18 | 1 | 2 | 0 | 239 | 327 | 522 | 849 | 283 | 333 | 33 | 9 | 354 | 34 | — | — | — | — | — | — |
| 2025 | 23 | INTL | Scottsdale Scorpions | — | 49 | 43 | 10 | 2 | 0 | 0 | 5 | 18 | 1 | 2 | 0 | 233 | 327 | 279 | 606 | 47 | 400 | 37 | 10 | 286 | 80 | — | — | — | — | — | — |
| 2026 | 24 | AA | Richmond Flying Squirrels | — | 460 | 391 | 89 | 18 | 3 | 6 | 53 | 133 | 7 | 31 | 4 | 228 | 330 | 335 | 665 | 107 | 324 | 29 | 12 | 301 | 63 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2024 | 22 | A MLE | San Jose Giants | — | 107 | 94 | 19 | 1 | 0 | 1 | 11 | 40 | 1 | 5 | 0 | 202 | 292 | 245 | 537 | 43 | 326 | 37 | 10 | 246 | 53 | — | — | — | — | — | — |
| 2024 | 22 | ROK MLE | ACL Giants | — | 42 | 39 | 8 | 2 | 0 | 2 | 1 | 20 | 2 | 3 | 1 | 205 | 262 | 410 | 672 | 205 | 356 | 48 | 2 | 265 | 65 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | Eugene Emeralds | — | 52 | 47 | 11 | 5 | 0 | 0 | 5 | 18 | 0 | 1 | 0 | 234 | 308 | 340 | 648 | 106 | 381 | 35 | 10 | 294 | 85 | — | — | — | — | — | — |
| 2025 | 23 | A MLE | San Jose Giants | — | 168 | 150 | 31 | 7 | 2 | 2 | 12 | 59 | 6 | 9 | 2 | 207 | 292 | 320 | 612 | 113 | 318 | 35 | 7 | 262 | 63 | — | — | — | — | — | — |
| 2025 | 23 | ROK MLE | ACL Giants | — | 54 | 48 | 7 | 3 | 1 | 1 | 3 | 25 | 1 | 2 | 0 | 146 | 212 | 312 | 524 | 167 | 229 | 46 | 6 | 218 | 34 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Richmond Flying Squirrels | — | 460 | 406 | 87 | 16 | 3 | 5 | 38 | 162 | 7 | 31 | 4 | 214 | 293 | 305 | 598 | 91 | 323 | 35 | 8 | 262 | 63 | — | — | — | — | — | — |
| 2024 | 22 | A MLE | 2 teams | — | 149 | 132 | 27 | 3 | 0 | 2 | 13 | 60 | 3 | 8 | 1 | 205 | 291 | 273 | 563 | 68 | 352 | 40 | 9 | 251 | 56 | — | — | — | — | — | — |
| 2024 | 22 | A RAW | 2 teams | — | 149 | 127 | 34 | 4 | 0 | 4 | 18 | 42 | 3 | 8 | 1 | 268 | 372 | 394 | 765 | 126 | 366 | 28 | 12 | 347 | 56 | — | — | — | — | — | — |
| 2025 | 23 | A MLE | 4 teams | — | 323 | 289 | 57 | 18 | 3 | 3 | 24 | 120 | 8 | 14 | 2 | 197 | 277 | 311 | 589 | 114 | 323 | 37 | 7 | 259 | 62 | — | — | — | — | — | — |
| 2025 | 23 | A RAW | 4 teams | — | 323 | 277 | 73 | 24 | 3 | 5 | 36 | 92 | 8 | 14 | 2 | 264 | 364 | 426 | 790 | 162 | 376 | 28 | 11 | 353 | 62 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Richmond Flying Squirrels | — | 460 | 406 | 87 | 16 | 3 | 5 | 38 | 162 | 7 | 31 | 4 | 214 | 293 | 305 | 598 | 91 | 337 | 35 | 8 | 262 | 63 | — | — | — | — | — | — |
| 2026 | 24 | AA RAW | Richmond Flying Squirrels | — | 460 | 391 | 89 | 18 | 3 | 6 | 53 | 133 | 7 | 31 | 4 | 228 | 330 | 335 | 665 | 107 | 324 | 29 | 12 | 301 | 63 | — | — | — | — | — | — |
| 2024 | 22 | A MLE | 2 teams | — | 149 | 132 | 27 | 3 | 0 | 2 | 13 | 60 | 3 | 8 | 1 | 205 | 291 | 273 | 563 | 68 | 334 | 40 | 9 | 251 | 56 | — | — | — | — | — | — |
| 2025 | 23 | A MLE | 4 teams | — | 323 | 288 | 57 | 18 | 3 | 3 | 24 | 120 | 8 | 14 | 2 | 198 | 277 | 312 | 590 | 115 | 312 | 37 | 7 | 259 | 62 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Richmond Flying Squirrels | — | 460 | 412 | 87 | 16 | 3 | 5 | 38 | 162 | 7 | 31 | 4 | 211 | 293 | 301 | 594 | 90 | 323 | 35 | 8 | 262 | 63 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | A MLE | 2 teams | — | 149 | 132 | 27 | 3 | 0 | 2 | 13 | 60 | 3 | 8 | 1 | 205 | 291 | 273 | 563 | 68 | 334 | 40 | 9 | 251 | 56 | — | — | — | — | — | — |
| 2025 | 23 | A MLE | 4 teams | — | 323 | 288 | 57 | 18 | 3 | 3 | 24 | 120 | 8 | 14 | 2 | 198 | 277 | 312 | 590 | 115 | 312 | 37 | 7 | 259 | 62 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Richmond Flying Squirrels | — | 460 | 412 | 87 | 16 | 3 | 5 | 38 | 162 | 7 | 31 | 4 | 211 | 293 | 301 | 594 | 90 | 323 | 35 | 8 | 262 | 63 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | SF | 2% | 380 | 341 | 66 | 14 | 2 | 4 | 31 | 125 | 5 | 13 | 2 | 192 | 270 | 279 | 549 | 87 | 287 | 33 | 8 | 253 | 57 | -19 | +2 | +2 | +4 | +8 | 0.0 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB CTX | SF | 2% | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 189 | 267 | 273 | 541 | 84 | 284 | 25 | 0 | 249 | 57 | -0 | +0 | +0 | +0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | SF | 23% | 254 | 228 | 44 | 9 | 1 | 3 | 21 | 83 | 3 | 8 | 1 | 197 | 274 | 294 | 568 | 97 | 288 | 33 | 8 | 260 | 62 | -11 | +1 | +2 | +3 | +6 | -0.0 |
| 2029 | 27 | MLB MLE | SF | 33% | 281 | 252 | 49 | 10 | 1 | 4 | 23 | 90 | 4 | 7 | 1 | 198 | 276 | 297 | 573 | 99 | 288 | 32 | 8 | 262 | 63 | -12 | +1 | +2 | +3 | +6 | -0.0 |
| 2030 | 28 | MLB MLE | SF | 39% | 297 | 266 | 52 | 11 | 1 | 4 | 25 | 95 | 4 | 7 | 1 | 199 | 276 | 298 | 574 | 99 | 287 | 32 | 8 | 262 | 64 | -13 | +1 | +1 | +3 | +6 | -0.1 |
| 2028 | 26 | MLB CTX | SF | 23% | 58 | 52 | 10 | 2 | 0 | 1 | 5 | 19 | 1 | 2 | 0 | 194 | 271 | 287 | 559 | 94 | 284 | 33 | 9 | 256 | 62 | -3 | +0 | +0 | +1 | +1 | 0.0 |
| 2029 | 27 | MLB CTX | SF | 33% | 93 | 84 | 15 | 3 | 0 | 1 | 8 | 30 | 1 | 2 | 0 | 195 | 273 | 290 | 563 | 95 | 284 | 32 | 9 | 258 | 63 | -4 | +0 | +1 | +1 | +2 | -0.0 |
| 2030 | 28 | MLB CTX | SF | 39% | 116 | 104 | 21 | 4 | 1 | 2 | 10 | 37 | 1 | 3 | 0 | 196 | 273 | 292 | 565 | 96 | 283 | 32 | 9 | 259 | 64 | -5 | +1 | +0 | +1 | +3 | -0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 267 | 240 | 46 | 9 | 1 | 4 | 23 | 86 | 3 | 7 | 0 | 192 | 271 | 287 | 558 | 96 | 278 | 32 | 9 | 258 | 62 | -12 | +1 | +1 | +3 | +6 | -0.0 | |
| / 162G | — | A+C | — | 650 | 584 | 112 | 22 | 2 | 10 | 56 | 209 | 7 | 17 | 0 | 192 | 270 | 288 | 558 | 96 | 278 | 32 | 9 | 258 | 62 | -28 | +3 | +3 | +7 | +14 | -0.1 | |
| Career | — | MLE | — | 1974 | 1761 | 352 | 75 | 10 | 23 | 161 | 679 | 32 | 82 | 11 | 200 | 279 | 293 | 572 | 93 | 308 | 34 | 8 | 260 | 62 | -47 | +4 | +6 | +11 | +23 | -0.4 | |
| / 162G | — | MLE | — | 650 | 580 | 116 | 25 | 3 | 8 | 53 | 224 | 11 | 27 | 4 | 200 | 280 | 295 | 574 | 95 | 308 | 34 | 8 | 260 | 62 | -29 | +3 | +4 | +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 AARichmond Flying Squirrels · 460 PAwOBA .297 → .262 (−35)K% 28.9% → 35.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.91% | ÷1.000 | ×1.220 | — | — | 35.27% |
| BB% (unintentional) /PA | 11.52% | ÷1.000 | ×0.700 | — | ×1.012 | 8.16% |
| HBP% /PA | 1.52% | — | ×0.850 | — | ×1.012 | 1.31% |
| Singles /BIP | 24.03% | ÷1.000 | ×0.970 | ×1.046 | ×1.012 | 24.68% |
| Doubles /BIP | 6.98% | ÷1.000 | ×0.860 | ×1.046 | ×1.012 | 6.35% |
| Triples /BIP | 1.16% | ÷1.000 | ×0.950 | ×1.046 | ×1.012 | 1.17% |
| Home runs /BIP | 2.33% | ÷1.000 | ×0.780 | — | ×1.012 | 1.84% |
Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.
Result: wOBA .297 → .262; ISO .107 → .092; BABIP .324 → .323. 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 · 168 PAwOBA .353 → .262 (−91)K% 25.0% → 35.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷0.962 | ×1.360 | — | — | 35.36% |
| BB% (unintentional) /PA | 11.31% | ÷1.055 | ×0.690 | — | ×0.990 | 7.32% |
| HBP% /PA | 3.57% | — | ×0.780 | — | ×0.990 | 2.76% |
| Singles /BIP | 22.77% | ÷1.007 | ×0.920 | ×1.050 | ×0.990 | 21.62% |
| Doubles /BIP | 9.90% | ÷1.138 | ×0.830 | ×1.050 | ×0.990 | 7.50% |
| Triples /BIP | 1.98% | ÷0.902 | ×0.910 | ×1.050 | ×0.990 | 2.08% |
| Home runs /BIP | 2.97% | ÷1.358 | ×0.800 | — | ×0.990 | 1.73% |
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 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 ×1.050.
Result: wOBA .353 → .262; ISO .161 → .108; BABIP .357 → .318. 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 ROKACL Giants · 54 PAwOBA .351 → .218 (−133)K% 33.3% → 45.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷1.045 | ×1.440 | — | — | 45.92% |
| BB% (unintentional) /PA | 9.26% | ÷1.070 | ×0.620 | — | ×0.965 | 5.18% |
| HBP% /PA | 1.85% | — | ×0.720 | — | ×0.965 | 1.29% |
| Singles /BIP | 10.71% | ÷1.042 | ×0.820 | — | ×0.965 | 8.14% |
| Doubles /BIP | 17.86% | ÷1.001 | ×0.720 | — | ×0.965 | 12.39% |
| Triples /BIP | 3.57% | ÷1.150 | ×0.720 | — | ×0.965 | 2.16% |
| Home runs /BIP | 7.14% | ÷1.128 | ×0.780 | — | ×0.965 | 4.77% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 108, 2B 100, 3B 130, K 109, BB 114 — 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 .351 → .218; ISO .283 → .173; BABIP .333 → .229. 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+Eugene Emeralds · 52 PAwOBA .379 → .294 (−85)K% 26.9% → 34.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.92% | ÷1.070 | ×1.350 | — | — | 33.97% |
| BB% (unintentional) /PA | 13.46% | ÷0.950 | ×0.710 | — | ×0.998 | 10.04% |
| HBP% /PA | 0.00% | — | ×0.810 | — | ×0.998 | 0.00% |
| Singles /BIP | 22.58% | ÷1.011 | ×0.910 | — | ×0.998 | 20.29% |
| Doubles /BIP | 22.58% | ÷1.048 | ×0.830 | — | ×0.998 | 17.84% |
| Triples /BIP | 0.00% | ÷0.909 | ×0.820 | — | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.980 | ×0.830 | — | ×0.998 | 0.00% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 102, 2B 110, 3B 82, K 114, BB 90 — 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).
Result: wOBA .379 → .294; ISO .156 → .115; BABIP .452 → .381. 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 ASan Jose Giants · 107 PAwOBA .299 → .246 (−53)K% 26.2% → 37.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.17% | ÷0.957 | ×1.360 | — | — | 37.20% |
| BB% (unintentional) /PA | 14.95% | ÷0.966 | ×0.690 | — | — | 10.68% |
| HBP% /PA | 0.93% | — | ×0.780 | — | — | 0.73% |
| Singles /BIP | 31.15% | ÷0.961 | ×0.920 | ×1.050 | — | 31.30% |
| Doubles /BIP | 1.64% | ÷1.012 | ×0.830 | ×1.050 | — | 1.41% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.910 | ×1.050 | — | 0.00% |
| Home runs /BIP | 1.64% | ÷0.959 | ×0.800 | — | — | 1.37% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 92, 2B 102, 3B 100, K 91, BB 93 — 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 ×1.050.
Result: wOBA .299 → .246; ISO .045 → .034; BABIP .328 → .326. 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 ROKACL Giants · 42 PAwOBA .446 → .265 (−181)K% 33.3% → 48.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷0.997 | ×1.440 | — | — | 48.15% |
| BB% (unintentional) /PA | 4.76% | ÷1.062 | ×0.620 | — | ×0.975 | 2.71% |
| HBP% /PA | 4.76% | — | ×0.720 | — | ×0.975 | 3.34% |
| Singles /BIP | 29.17% | ÷1.003 | ×0.820 | — | ×0.975 | 23.24% |
| Doubles /BIP | 12.50% | ÷0.927 | ×0.720 | — | ×0.975 | 9.47% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 12.50% | ÷1.178 | ×0.780 | — | ×0.975 | 8.07% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 136, 1B 101, 2B 85, 3B 80, K 99, BB 112 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .446 → .265; ISO .316 → .171; BABIP .476 → .356. 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 — .