Sam Brown
1B Harrisburg Senators| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 22 | AALAA | 505 | .214/.302/.302 | 4 | 5 | 45 | — | .190/.262/.263 |
| 2025 | 23 | AAWSH | 509 | .263/.364/.392 | 8 | 3 | 95 | — | .255/.332/.377 |
| 2026 | 24 | AAWSH | 371 | .247/.353/.392 | 9 | 0 | 76 | — | .218/.296/.329 |
| 2027PROJMLE | 25 | MLBWSH | 4 | .214/.291/.317 | 0 | 0 | 74 | -0.0 | |
| 2028PROJ31% MLB | 26 | MLBWSH | 74 | .216/.293/.325 | 1 | 1 | 76 | -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) | |||||||||||||||||||||||||||||||
| 2024 | 22 | AA | Rocket City Trash Pandas | — | 505 | 440 | 94 | 23 | 2 | 4 | 44 | 105 | 12 | 5 | 0 | 214 | 302 | 302 | 605 | 89 | 266 | 21 | 9 | 276 | 45 | — | — | — | — | — | — |
| 2025 | 23 | AA | Harrisburg Senators | — | 509 | 434 | 114 | 20 | 6 | 8 | 61 | 89 | 8 | 3 | 1 | 263 | 364 | 392 | 756 | 129 | 309 | 17 | 12 | 340 | 95 | — | — | — | — | — | — |
| 2026 | 24 | AA | Harrisburg Senators | — | 371 | 316 | 78 | 19 | 0 | 9 | 50 | 85 | 2 | 0 | 1 | 247 | 353 | 392 | 746 | 146 | 307 | 23 | 13 | 336 | 76 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2024 | 22 | AA MLE | Rocket City Trash Pandas | — | 505 | 452 | 86 | 20 | 2 | 3 | 32 | 131 | 12 | 5 | 0 | 190 | 262 | 263 | 525 | 73 | 246 | 26 | 6 | 235 | 45 | — | — | — | — | — | — |
| 2025 | 23 | AA MLE | Harrisburg Senators | — | 509 | 451 | 115 | 20 | 7 | 7 | 44 | 109 | 8 | 3 | 1 | 255 | 332 | 377 | 709 | 122 | 309 | 21 | 9 | 309 | 95 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Harrisburg Senators | — | 371 | 331 | 72 | 16 | 0 | 7 | 35 | 104 | 2 | 0 | 1 | 218 | 296 | 329 | 626 | 112 | 289 | 28 | 9 | 280 | 76 | — | — | — | — | — | — |
| 2024 | 22 | AA MLE | Rocket City Trash Pandas | — | 505 | 452 | 86 | 20 | 2 | 3 | 32 | 131 | 12 | 5 | 0 | 190 | 262 | 263 | 525 | 73 | 255 | 26 | 6 | 235 | 45 | — | — | — | — | — | — |
| 2024 | 22 | AA RAW | Rocket City Trash Pandas | — | 505 | 440 | 94 | 23 | 2 | 4 | 44 | 105 | 12 | 5 | 0 | 214 | 302 | 302 | 605 | 89 | 266 | 21 | 9 | 276 | 45 | — | — | — | — | — | — |
| 2025 | 23 | AA MLE | Harrisburg Senators | — | 509 | 451 | 115 | 20 | 7 | 7 | 44 | 109 | 8 | 3 | 1 | 255 | 332 | 377 | 709 | 122 | 317 | 21 | 9 | 309 | 95 | — | — | — | — | — | — |
| 2025 | 23 | AA RAW | Harrisburg Senators | — | 509 | 434 | 114 | 20 | 6 | 8 | 61 | 89 | 8 | 3 | 1 | 263 | 364 | 392 | 756 | 129 | 309 | 17 | 12 | 340 | 95 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Harrisburg Senators | — | 371 | 331 | 72 | 16 | 0 | 7 | 35 | 104 | 2 | 0 | 1 | 218 | 296 | 329 | 626 | 112 | 291 | 28 | 9 | 280 | 76 | — | — | — | — | — | — |
| 2026 | 24 | AA RAW | Harrisburg Senators | — | 371 | 316 | 78 | 19 | 0 | 9 | 50 | 85 | 2 | 0 | 1 | 247 | 353 | 392 | 746 | 146 | 307 | 23 | 13 | 336 | 76 | — | — | — | — | — | — |
| 2024 | 22 | AA MLE | Rocket City Trash Pandas | — | 505 | 456 | 86 | 20 | 2 | 3 | 32 | 131 | 12 | 5 | 0 | 189 | 262 | 261 | 523 | 72 | 246 | 26 | 6 | 235 | 45 | — | — | — | — | — | — |
| 2025 | 23 | AA MLE | Harrisburg Senators | — | 509 | 452 | 115 | 20 | 7 | 7 | 44 | 109 | 8 | 3 | 1 | 254 | 332 | 376 | 708 | 122 | 309 | 21 | 9 | 309 | 95 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Harrisburg Senators | — | 371 | 331 | 72 | 16 | 0 | 7 | 35 | 104 | 2 | 0 | 1 | 218 | 296 | 329 | 626 | 112 | 289 | 28 | 9 | 280 | 76 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | AA MLE | Rocket City Trash Pandas | — | 505 | 456 | 86 | 20 | 2 | 3 | 32 | 131 | 12 | 5 | 0 | 189 | 262 | 261 | 523 | 72 | 246 | 26 | 6 | 235 | 45 | — | — | — | — | — | — |
| 2025 | 23 | AA MLE | Harrisburg Senators | — | 509 | 452 | 115 | 20 | 7 | 7 | 44 | 109 | 8 | 3 | 1 | 254 | 332 | 376 | 708 | 122 | 309 | 21 | 9 | 309 | 95 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Harrisburg Senators | — | 371 | 331 | 72 | 16 | 0 | 7 | 35 | 104 | 2 | 0 | 1 | 218 | 296 | 329 | 626 | 112 | 289 | 28 | 9 | 280 | 76 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | WSH | 2% | 380 | 341 | 73 | 15 | 2 | 6 | 32 | 102 | 4 | 3 | 1 | 214 | 291 | 319 | 610 | 105 | 286 | 27 | 8 | 277 | 74 | -12 | +0 | +0 | -7 | +8 | -0.4 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB CTX | WSH | 2% | 4 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 214 | 291 | 317 | 608 | 103 | 285 | 25 | 0 | 277 | 74 | -0 | +0 | +0 | -0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | WSH | 31% | 239 | 213 | 47 | 10 | 1 | 4 | 21 | 63 | 3 | 2 | 1 | 216 | 293 | 327 | 620 | 110 | 286 | 26 | 9 | 281 | 76 | -7 | +0 | +0 | -4 | +5 | -0.6 |
| 2028 | 26 | MLB CTX | WSH | 31% | 74 | 67 | 14 | 3 | 0 | 1 | 6 | 20 | 1 | 1 | 0 | 216 | 293 | 325 | 618 | 109 | 285 | 27 | 8 | 281 | 76 | -2 | +0 | +0 | -1 | +2 | -0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 74 | 67 | 14 | 3 | 0 | 1 | 6 | 20 | 1 | 1 | 0 | 209 | 284 | 299 | 582 | 90 | 283 | 27 | 8 | 281 | 73 | -2 | +0 | +0 | -1 | +2 | -0.2 | |
| / 162G | — | A+C | — | 650 | 589 | 123 | 26 | 0 | 9 | 53 | 176 | 9 | 9 | 0 | 209 | 285 | 299 | 583 | 90 | 282 | 27 | 8 | 281 | 73 | -18 | +2 | +0 | -12 | +14 | -1.4 | |
| Career | — | MLE | — | 1834 | 1635 | 360 | 74 | 11 | 24 | 150 | 463 | 27 | 11 | 4 | 220 | 296 | 323 | 619 | 103 | 288 | 25 | 8 | 276 | 73 | -13 | -0 | +0 | -8 | +10 | -1.2 | |
| / 162G | — | MLE | — | 650 | 579 | 128 | 26 | 4 | 9 | 53 | 164 | 10 | 4 | 1 | 221 | 297 | 326 | 623 | 105 | 289 | 25 | 8 | 276 | 73 | -19 | -0 | +0 | -12 | +14 | -1.7 | |
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 AAHarrisburg Senators · 371 PAwOBA .331 → .280 (−51)K% 22.9% → 28.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.91% | ÷1.000 | ×1.220 | — | — | 27.95% |
| BB% (unintentional) /PA | 13.48% | ÷1.000 | ×0.700 | — | ×0.998 | 9.42% |
| HBP% /PA | 0.54% | — | ×0.850 | — | ×0.998 | 0.46% |
| Singles /BIP | 21.65% | ÷1.000 | ×0.970 | ×1.013 | ×0.998 | 21.23% |
| Doubles /BIP | 8.23% | ÷1.000 | ×0.860 | ×1.013 | ×0.998 | 7.15% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.950 | ×1.013 | ×0.998 | 0.00% |
| Home runs /BIP | 3.90% | ÷1.000 | ×0.780 | — | ×0.998 | 3.03% |
Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .331 → .280; ISO .146 → .119; BABIP .307 → .289. 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 AAHarrisburg Senators · 509 PAwOBA .335 → .309 (−25)K% 17.5% → 21.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.49% | ÷0.997 | ×1.220 | — | — | 21.41% |
| BB% (unintentional) /PA | 11.79% | ÷0.967 | ×0.700 | — | ×1.012 | 8.63% |
| HBP% /PA | 1.57% | — | ×0.850 | — | ×1.012 | 1.35% |
| Singles /BIP | 23.19% | ÷1.009 | ×0.970 | ×1.025 | ×1.012 | 23.13% |
| Doubles /BIP | 5.80% | ÷0.887 | ×0.860 | ×1.025 | ×1.012 | 5.83% |
| Triples /BIP | 1.74% | ÷0.913 | ×0.950 | ×1.025 | ×1.012 | 1.88% |
| Home runs /BIP | 2.32% | ÷0.963 | ×0.780 | — | ×1.012 | 1.90% |
Factors used: league row EL. Park (home-season share, regressed): HR 93, 1B 102, 2B 77, 3B 83, K 99, BB 93 — 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 ×1.025.
Result: wOBA .335 → .309; ISO .129 → .123; BABIP .309 → .309. 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 AARocket City Trash Pandas · 505 PAwOBA .273 → .235 (−38)K% 20.8% → 26.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.79% | ÷0.974 | ×1.220 | — | — | 26.05% |
| BB% (unintentional) /PA | 8.71% | ÷0.966 | ×0.680 | — | ×1.027 | 6.30% |
| HBP% /PA | 2.38% | — | ×0.840 | — | ×1.027 | 2.05% |
| Singles /BIP | 19.40% | ÷1.016 | ×0.920 | ×1.012 | ×1.027 | 18.27% |
| Doubles /BIP | 6.87% | ÷1.072 | ×0.910 | ×1.012 | ×1.027 | 6.06% |
| Triples /BIP | 0.60% | ÷1.045 | ×0.880 | ×1.012 | ×1.027 | 0.52% |
| Home runs /BIP | 1.19% | ÷0.976 | ×0.800 | — | ×1.027 | 1.01% |
Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 103, 2B 114, 3B 109, K 95, BB 93 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.
Result: wOBA .273 → .235; ISO .089 → .076; BABIP .266 → .246. 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).