Robert Hipwell
1B Eugene Emeralds| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 21 | ASF | 136 | .196/.363/.402 | 5 | 0 | 61 | — | .150/.289/.310 |
| 2025 | 22 | ASF | 429 | .241/.376/.450 | 11 | 3 | 49 | — | .156/.261/.277 |
| 2026 | 23 | A+SF | 252 | .210/.352/.395 | 8 | 2 | 42 | — | .138/.252/.253 |
| 2027PROJMLE | 24 | MLBSF | 1 | .148/.254/.257 | 0 | 0 | 50 | -0.0 | |
| 2028PROJ30% MLB | 25 | MLBSF | 47 | .154/.258/.268 | 1 | 0 | 55 | -0.2 |
Tools · ContractCON 30 / POW 45
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 | 21 | A | San Jose Giants | — | 136 | 107 | 21 | 5 | 1 | 5 | 21 | 40 | 7 | 0 | 0 | 196 | 363 | 402 | 765 | 206 | 254 | 29 | 15 | 348 | 61 | — | — | — | — | — | — |
| 2025 | 22 | A | San Jose Giants | — | 429 | 349 | 84 | 28 | 6 | 11 | 67 | 134 | 9 | 3 | 2 | 241 | 376 | 450 | 826 | 209 | 353 | 31 | 16 | 366 | 49 | — | — | — | — | — | — |
| 2026 | 23 | A+ | Eugene Emeralds | — | 252 | 205 | 43 | 12 | 1 | 8 | 41 | 96 | 4 | 2 | 0 | 210 | 352 | 395 | 747 | 185 | 347 | 38 | 16 | 338 | 42 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2024 | 21 | A MLE | San Jose Giants | — | 136 | 113 | 17 | 4 | 1 | 4 | 15 | 57 | 7 | 0 | 0 | 150 | 289 | 310 | 599 | 159 | 229 | 42 | 11 | 259 | 61 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | San Jose Giants | — | 429 | 372 | 58 | 17 | 5 | 6 | 44 | 190 | 9 | 3 | 2 | 156 | 261 | 277 | 538 | 121 | 282 | 44 | 10 | 241 | 49 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | Eugene Emeralds | — | 252 | 217 | 30 | 8 | 1 | 5 | 29 | 130 | 4 | 2 | 0 | 138 | 252 | 253 | 505 | 115 | 285 | 52 | 12 | 230 | 42 | — | — | — | — | — | — |
| 2024 | 21 | A MLE | San Jose Giants | — | 136 | 113 | 17 | 4 | 1 | 4 | 15 | 57 | 7 | 0 | 0 | 150 | 289 | 310 | 599 | 159 | 245 | 42 | 11 | 259 | 61 | — | — | — | — | — | — |
| 2024 | 21 | A RAW | San Jose Giants | — | 136 | 107 | 21 | 5 | 1 | 5 | 21 | 40 | 7 | 0 | 0 | 196 | 363 | 402 | 765 | 206 | 254 | 29 | 15 | 348 | 61 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | San Jose Giants | — | 429 | 372 | 58 | 17 | 5 | 6 | 44 | 190 | 9 | 3 | 2 | 156 | 261 | 277 | 538 | 121 | 291 | 44 | 10 | 241 | 49 | — | — | — | — | — | — |
| 2025 | 22 | A RAW | San Jose Giants | — | 429 | 349 | 84 | 28 | 6 | 11 | 67 | 134 | 9 | 3 | 2 | 241 | 376 | 450 | 826 | 209 | 353 | 31 | 16 | 366 | 49 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | Eugene Emeralds | — | 252 | 217 | 30 | 8 | 1 | 5 | 29 | 130 | 4 | 2 | 0 | 138 | 252 | 253 | 505 | 115 | 305 | 52 | 12 | 230 | 42 | — | — | — | — | — | — |
| 2026 | 23 | A+ RAW | Eugene Emeralds | — | 252 | 205 | 43 | 12 | 1 | 8 | 41 | 96 | 4 | 2 | 0 | 210 | 352 | 395 | 747 | 185 | 347 | 38 | 16 | 338 | 42 | — | — | — | — | — | — |
| 2024 | 21 | A MLE | San Jose Giants | — | 136 | 113 | 17 | 4 | 1 | 4 | 15 | 57 | 7 | 0 | 0 | 150 | 289 | 310 | 599 | 159 | 229 | 42 | 11 | 259 | 61 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | San Jose Giants | — | 429 | 373 | 58 | 17 | 5 | 6 | 44 | 190 | 9 | 3 | 2 | 155 | 261 | 276 | 537 | 121 | 282 | 44 | 10 | 241 | 49 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | Eugene Emeralds | — | 252 | 217 | 30 | 8 | 1 | 5 | 29 | 130 | 4 | 2 | 0 | 138 | 252 | 253 | 505 | 115 | 285 | 52 | 12 | 230 | 42 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 21 | A MLE | San Jose Giants | — | 136 | 113 | 17 | 4 | 1 | 4 | 15 | 57 | 7 | 0 | 0 | 150 | 289 | 310 | 599 | 159 | 229 | 42 | 11 | 259 | 61 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | San Jose Giants | — | 429 | 373 | 58 | 17 | 5 | 6 | 44 | 190 | 9 | 3 | 2 | 155 | 261 | 276 | 537 | 121 | 282 | 44 | 10 | 241 | 49 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | Eugene Emeralds | — | 252 | 217 | 30 | 8 | 1 | 5 | 29 | 130 | 4 | 2 | 0 | 138 | 252 | 253 | 505 | 115 | 285 | 52 | 12 | 230 | 42 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 24 | MLB MLE | SF | 0% | 302 | 262 | 40 | 10 | 2 | 5 | 32 | 136 | 5 | 3 | 1 | 151 | 256 | 264 | 520 | 113 | 277 | 45 | 11 | 243 | 50 | -18 | +0 | +0 | -5 | +7 | -0.3 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 24 | MLB CTX | SF | 0% | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 148 | 254 | 257 | 510 | 109 | 273 | 0 | 0 | 239 | 50 | -0 | +0 | +0 | -0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 25 | MLB MLE | SF | 30% | 154 | 135 | 21 | 5 | 1 | 3 | 16 | 68 | 2 | 2 | 0 | 157 | 261 | 277 | 537 | 120 | 278 | 44 | 10 | 249 | 55 | -8 | +0 | +0 | -3 | +3 | -0.7 |
| 2028 | 25 | MLB CTX | SF | 30% | 47 | 41 | 7 | 2 | 0 | 1 | 5 | 21 | 1 | 0 | 0 | 154 | 258 | 268 | 527 | 115 | 275 | 45 | 11 | 245 | 55 | -3 | +0 | +0 | -1 | +1 | -0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 47 | 41 | 7 | 2 | 0 | 1 | 5 | 21 | 1 | 0 | 0 | 171 | 277 | 293 | 569 | 122 | 316 | 45 | 11 | 245 | 50 | -3 | +0 | +0 | -1 | +1 | -0.2 | |
| / 162G | — | A+C | — | 650 | 567 | 97 | 28 | 0 | 14 | 69 | 290 | 14 | 0 | 0 | 171 | 277 | 295 | 571 | 123 | 316 | 45 | 11 | 245 | 50 | -35 | +0 | +0 | -12 | +14 | -3.3 | |
| Career | — | MLE | — | 1094 | 944 | 142 | 38 | 9 | 20 | 117 | 501 | 24 | 8 | 2 | 150 | 261 | 273 | 534 | 123 | 284 | 46 | 11 | 242 | 50 | -16 | +1 | +0 | -5 | +6 | -1.4 | |
| / 162G | — | MLE | — | 650 | 561 | 85 | 23 | 5 | 12 | 70 | 298 | 14 | 5 | 1 | 152 | 262 | 275 | 537 | 123 | 286 | 46 | 11 | 242 | 50 | -36 | +1 | +0 | -12 | +14 | -3.3 | |
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.
2026 A+Eugene Emeralds · 252 PAwOBA .330 → .230 (−100)K% 38.1% → 51.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 38.10% | ÷1.000 | ×1.350 | — | — | 51.43% |
| BB% (unintentional) /PA | 16.27% | ÷1.000 | ×0.710 | — | ×0.998 | 11.53% |
| HBP% /PA | 1.59% | — | ×0.810 | — | ×0.998 | 1.28% |
| Singles /BIP | 20.18% | ÷1.000 | ×0.910 | ×0.950 | ×0.998 | 17.41% |
| Doubles /BIP | 11.01% | ÷1.000 | ×0.830 | ×0.950 | ×0.998 | 8.66% |
| Triples /BIP | 0.92% | ÷1.000 | ×0.820 | ×0.950 | ×0.998 | 0.71% |
| Home runs /BIP | 7.34% | ÷1.000 | ×0.830 | — | ×0.998 | 6.08% |
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 ×0.950.
Result: wOBA .330 → .230; ISO .185 → .125; BABIP .347 → .285. 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 · 429 PAwOBA .360 → .241 (−119)K% 31.2% → 44.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.24% | ÷0.962 | ×1.360 | — | — | 44.18% |
| BB% (unintentional) /PA | 15.62% | ÷1.055 | ×0.690 | — | — | 10.22% |
| HBP% /PA | 2.10% | — | ×0.780 | — | — | 1.64% |
| Singles /BIP | 18.14% | ÷1.007 | ×0.920 | ×0.962 | — | 15.93% |
| Doubles /BIP | 13.02% | ÷1.138 | ×0.830 | ×0.962 | — | 9.13% |
| Triples /BIP | 2.79% | ÷0.902 | ×0.910 | ×0.962 | — | 2.71% |
| Home runs /BIP | 5.12% | ÷1.358 | ×0.800 | — | — | 3.01% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.
Result: wOBA .360 → .241; ISO .209 → .127; BABIP .353 → .282. 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 · 136 PAwOBA .342 → .259 (−83)K% 29.4% → 41.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.41% | ÷0.957 | ×1.360 | — | — | 41.81% |
| BB% (unintentional) /PA | 15.44% | ÷0.966 | ×0.690 | — | ×1.015 | 11.19% |
| HBP% /PA | 5.15% | — | ×0.780 | — | ×1.015 | 4.07% |
| Singles /BIP | 14.93% | ÷0.961 | ×0.920 | ×0.988 | ×1.015 | 14.32% |
| Doubles /BIP | 7.46% | ÷1.012 | ×0.830 | ×0.988 | ×1.015 | 6.13% |
| Triples /BIP | 1.49% | ÷1.000 | ×0.910 | ×0.988 | ×1.015 | 1.36% |
| Home runs /BIP | 7.46% | ÷0.959 | ×0.800 | — | ×1.015 | 6.32% |
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 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 ×0.988.
Result: wOBA .342 → .259; ISO .206 → .152; BABIP .254 → .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).