Matthew Wood
C Biloxi Shuckers| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 23 | A+MIL | 379 | .235/.349/.332 | 4 | 2 | 56 | — | .192/.283/.261 |
| 2025 | 24 | AA/A+MIL | 361 | .256/.376/.380 | 7 | 10 | 73 | — | .217/.309/.306 |
| 2026 | 25 | AA/INTL2 orgs | 420 | .258/.414/.480 | 18 | 5 | 110 | — | .223/.330/.419 |
| 2027PROJMLE | 26 | MLBMIL | 3 | .226/.321/.369 | 0 | 0 | 98 | 0.0 | |
| 2028PROJ33% MLB | 27 | MLBMIL | 56 | .226/.320/.368 | 2 | 1 | 97 | 0.2 | |
| 2029PROJ50% MLB | 28 | MLBMIL | 104 | .225/.318/.365 | 3 | 1 | 96 | 0.3 |
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) | |||||||||||||||||||||||||||||||
| 2023 | 22 | A+ | Wisconsin Timber Rattlers | — | 361 | 306 | 74 | 8 | 1 | 1 | 47 | 53 | 5 | 2 | 1 | 242 | 352 | 284 | 636 | 42 | 286 | 15 | 13 | 300 | 51 | — | — | — | — | — | — |
| 2023 | 22 | A | Carolina Mudcats | — | 109 | 82 | 24 | 7 | 0 | 3 | 26 | 15 | 1 | 1 | 0 | 293 | 468 | 488 | 956 | 195 | 328 | 14 | 24 | 429 | 101 | — | — | — | — | — | — |
| 2024 | 23 | A+ | Wisconsin Timber Rattlers | — | 379 | 319 | 75 | 15 | 2 | 4 | 47 | 52 | 9 | 2 | 1 | 235 | 349 | 332 | 682 | 97 | 266 | 14 | 12 | 314 | 56 | — | — | — | — | — | — |
| 2025 | 24 | AA | Biloxi Shuckers | — | 245 | 207 | 56 | 12 | 0 | 6 | 30 | 33 | 5 | 8 | 1 | 271 | 376 | 415 | 791 | 145 | 292 | 13 | 12 | 355 | 80 | — | — | — | — | — | — |
| 2025 | 24 | A+ | Wisconsin Timber Rattlers | — | 116 | 90 | 20 | 4 | 0 | 1 | 20 | 18 | 3 | 2 | 1 | 222 | 377 | 300 | 677 | 78 | 260 | 16 | 17 | 319 | 58 | — | — | — | — | — | — |
| 2026 | 25 | AA | Biloxi Shuckers | — | 386 | 303 | 78 | 13 | 2 | 18 | 71 | 52 | 4 | 3 | 2 | 257 | 404 | 492 | 895 | 234 | 251 | 13 | 18 | 390 | 105 | — | — | — | — | — | — |
| 2026 | 25 | INTL | Scottsdale Scorpions | — | 34 | 22 | 6 | 1 | 0 | 0 | 12 | 3 | 0 | 2 | 0 | 273 | 529 | 318 | 848 | 45 | 316 | 9 | 35 | 417 | 168 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 22 | A+ MLE | Wisconsin Timber Rattlers | — | 361 | 321 | 67 | 7 | 1 | 1 | 32 | 70 | 5 | 2 | 1 | 209 | 291 | 246 | 537 | 37 | 255 | 19 | 9 | 244 | 51 | — | — | — | — | — | — |
| 2023 | 22 | A MLE | Carolina Mudcats | — | 109 | 90 | 19 | 5 | 0 | 2 | 18 | 21 | 1 | 1 | 0 | 211 | 349 | 333 | 682 | 122 | 258 | 19 | 17 | 318 | 101 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | Wisconsin Timber Rattlers | — | 379 | 333 | 64 | 12 | 1 | 3 | 33 | 66 | 9 | 2 | 1 | 192 | 283 | 261 | 544 | 69 | 224 | 17 | 9 | 251 | 56 | — | — | — | — | — | — |
| 2025 | 24 | AA MLE | Biloxi Shuckers | — | 245 | 217 | 50 | 10 | 0 | 4 | 20 | 43 | 5 | 8 | 1 | 230 | 310 | 332 | 642 | 101 | 258 | 18 | 8 | 286 | 80 | — | — | — | — | — | — |
| 2025 | 24 | A+ MLE | Wisconsin Timber Rattlers | — | 116 | 96 | 18 | 3 | 0 | 1 | 14 | 24 | 3 | 2 | 1 | 188 | 307 | 250 | 557 | 62 | 219 | 21 | 12 | 254 | 58 | — | — | — | — | — | — |
| 2026 | 25 | AA MLE | Biloxi Shuckers | — | 386 | 327 | 73 | 12 | 2 | 16 | 48 | 63 | 4 | 3 | 2 | 223 | 330 | 419 | 749 | 196 | 218 | 16 | 12 | 323 | 105 | — | — | — | — | — | — |
| 2023 | 22 | A+ MLE | 2 teams | — | 470 | 411 | 86 | 12 | 1 | 3 | 50 | 91 | 6 | 3 | 1 | 209 | 304 | 265 | 569 | 56 | 259 | 19 | 11 | 261 | 63 | — | — | — | — | — | — |
| 2023 | 22 | A+ RAW | 2 teams | — | 470 | 388 | 98 | 15 | 1 | 4 | 73 | 68 | 6 | 3 | 1 | 253 | 379 | 327 | 706 | 75 | 295 | 14 | 16 | 330 | 63 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | Wisconsin Timber Rattlers | — | 379 | 333 | 64 | 12 | 1 | 3 | 33 | 66 | 9 | 2 | 1 | 192 | 283 | 261 | 544 | 69 | 228 | 17 | 9 | 251 | 56 | — | — | — | — | — | — |
| 2024 | 23 | A+ RAW | Wisconsin Timber Rattlers | — | 379 | 319 | 75 | 15 | 2 | 4 | 47 | 52 | 9 | 2 | 1 | 235 | 349 | 332 | 682 | 97 | 266 | 14 | 12 | 314 | 56 | — | — | — | — | — | — |
| 2025 | 24 | AA MLE | 2 teams | — | 361 | 314 | 67 | 13 | 0 | 5 | 34 | 67 | 8 | 10 | 2 | 213 | 306 | 303 | 609 | 89 | 251 | 19 | 9 | 276 | 73 | — | — | — | — | — | — |
| 2025 | 24 | AA RAW | 2 teams | — | 361 | 297 | 76 | 16 | 0 | 7 | 50 | 51 | 8 | 10 | 2 | 256 | 376 | 380 | 757 | 125 | 283 | 14 | 14 | 343 | 73 | — | — | — | — | — | — |
| 2026 | 25 | AA MLE | 2 teams | — | 420 | 357 | 79 | 13 | 2 | 17 | 52 | 69 | 4 | 5 | 2 | 221 | 327 | 412 | 739 | 190 | 224 | 16 | 12 | 323 | 105 | — | — | — | — | — | — |
| 2026 | 25 | AA RAW | 2 teams | — | 420 | 325 | 84 | 14 | 2 | 18 | 83 | 55 | 4 | 5 | 2 | 258 | 414 | 480 | 894 | 222 | 256 | 13 | 20 | 392 | 105 | — | — | — | — | — | — |
| 2023 | 22 | A+ MLE | 2 teams | — | 470 | 411 | 86 | 12 | 1 | 3 | 50 | 91 | 6 | 3 | 1 | 209 | 304 | 265 | 569 | 56 | 256 | 19 | 11 | 261 | 63 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | Wisconsin Timber Rattlers | — | 379 | 334 | 64 | 12 | 1 | 3 | 33 | 66 | 9 | 2 | 1 | 192 | 283 | 260 | 543 | 69 | 224 | 17 | 9 | 251 | 56 | — | — | — | — | — | — |
| 2025 | 24 | AA MLE | 2 teams | — | 361 | 316 | 67 | 13 | 0 | 5 | 34 | 67 | 8 | 10 | 2 | 212 | 306 | 301 | 607 | 89 | 245 | 19 | 9 | 276 | 73 | — | — | — | — | — | — |
| 2026 | 25 | AA MLE | 2 teams | — | 420 | 361 | 79 | 13 | 2 | 17 | 52 | 69 | 4 | 5 | 2 | 219 | 327 | 407 | 734 | 188 | 218 | 16 | 12 | 323 | 105 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 23 | A+ MLE | Wisconsin Timber Rattlers | — | 379 | 334 | 64 | 12 | 1 | 3 | 33 | 66 | 9 | 2 | 1 | 192 | 283 | 260 | 543 | 69 | 224 | 17 | 9 | 251 | 56 | — | — | — | — | — | — |
| 2025 | 24 | AA MLE | 2 teams | — | 361 | 316 | 67 | 13 | 0 | 5 | 34 | 67 | 8 | 10 | 2 | 212 | 306 | 301 | 607 | 89 | 245 | 19 | 9 | 276 | 73 | — | — | — | — | — | — |
| 2026 | 25 | AA MLE | 2 teams | — | 420 | 361 | 79 | 13 | 2 | 17 | 52 | 69 | 4 | 5 | 2 | 219 | 327 | 407 | 734 | 188 | 218 | 16 | 12 | 323 | 105 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 26 | MLB MLE | MIL | 2% | 380 | 331 | 75 | 14 | 1 | 10 | 41 | 68 | 5 | 4 | 1 | 228 | 323 | 369 | 692 | 141 | 257 | 18 | 11 | 312 | 98 | -1 | +0 | -1 | +7 | +8 | 0.7 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 26 | MLB CTX | MIL | 2% | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 226 | 321 | 369 | 690 | 142 | 252 | 33 | 0 | 311 | 98 | -0 | +0 | -0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 27 | MLB MLE | MIL | 33% | 167 | 145 | 33 | 6 | 1 | 4 | 18 | 31 | 2 | 2 | 1 | 228 | 322 | 369 | 690 | 140 | 258 | 19 | 11 | 312 | 97 | -1 | +0 | -0 | +3 | +4 | 0.6 |
| 2029 | 28 | MLB MLE | MIL | 50% | 209 | 182 | 42 | 8 | 1 | 5 | 22 | 39 | 3 | 2 | 1 | 227 | 320 | 366 | 685 | 139 | 258 | 19 | 11 | 309 | 96 | -1 | +0 | -1 | +4 | +5 | 0.6 |
| 2028 | 27 | MLB CTX | MIL | 33% | 56 | 49 | 11 | 2 | 0 | 2 | 6 | 10 | 1 | 1 | 0 | 226 | 320 | 368 | 688 | 142 | 254 | 18 | 11 | 310 | 97 | -0 | +0 | -0 | +1 | +1 | 0.2 |
| 2029 | 28 | MLB CTX | MIL | 50% | 104 | 91 | 21 | 4 | 0 | 3 | 11 | 19 | 1 | 1 | 0 | 225 | 318 | 365 | 683 | 140 | 254 | 18 | 11 | 308 | 96 | -1 | +0 | -1 | +2 | +2 | 0.3 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 160 | 140 | 32 | 6 | 0 | 5 | 17 | 29 | 2 | 2 | 0 | 229 | 321 | 379 | 699 | 150 | 252 | 18 | 11 | 309 | 80 | -1 | +0 | -1 | +3 | +3 | 0.5 | |
| / 162G | — | A+C | — | 650 | 569 | 129 | 24 | 0 | 20 | 69 | 118 | 8 | 8 | 0 | 227 | 319 | 374 | 693 | 148 | 251 | 18 | 11 | 309 | 80 | -3 | +2 | -3 | +12 | +14 | 2.1 | |
| Career | — | MLE | — | 2161 | 1877 | 402 | 70 | 7 | 41 | 226 | 391 | 34 | 26 | 9 | 214 | 310 | 324 | 634 | 110 | 246 | 18 | 10 | 286 | 80 | -2 | +0 | -2 | +9 | +12 | 1.7 | |
| / 162G | — | MLE | — | 650 | 565 | 120 | 21 | 2 | 12 | 68 | 118 | 10 | 8 | 3 | 212 | 308 | 320 | 628 | 108 | 245 | 18 | 10 | 286 | 80 | -3 | +0 | -3 | +12 | +14 | 2.1 | |
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 AABiloxi Shuckers · 386 PAwOBA .387 → .323 (−64)K% 13.5% → 16.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.47% | ÷1.000 | ×1.220 | — | — | 16.44% |
| BB% (unintentional) /PA | 18.39% | ÷1.000 | ×0.680 | — | ×0.998 | 12.48% |
| HBP% /PA | 1.04% | — | ×0.840 | — | ×0.998 | 0.87% |
| Singles /BIP | 17.93% | ÷1.000 | ×0.920 | ×0.960 | ×0.998 | 15.81% |
| Doubles /BIP | 5.18% | ÷1.000 | ×0.910 | ×0.960 | ×0.998 | 4.52% |
| Triples /BIP | 0.80% | ÷1.000 | ×0.880 | ×0.960 | ×0.998 | 0.67% |
| Home runs /BIP | 7.17% | ÷1.000 | ×0.800 | — | ×0.998 | 5.73% |
Factors used: league row SL. 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 ×0.960.
Result: wOBA .387 → .323; ISO .234 → .206; BABIP .251 → .218. 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 AABiloxi Shuckers · 245 PAwOBA .349 → .286 (−63)K% 13.5% → 17.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.47% | ÷0.932 | ×1.220 | — | — | 17.64% |
| BB% (unintentional) /PA | 11.84% | ÷1.008 | ×0.680 | — | ×1.012 | 8.08% |
| HBP% /PA | 2.04% | — | ×0.840 | — | ×1.012 | 1.73% |
| Singles /BIP | 21.84% | ÷0.976 | ×0.920 | ×0.960 | ×1.012 | 20.00% |
| Doubles /BIP | 6.90% | ÷1.091 | ×0.910 | ×0.960 | ×1.012 | 5.59% |
| Triples /BIP | 0.00% | ÷1.083 | ×0.880 | ×0.960 | ×1.012 | 0.00% |
| Home runs /BIP | 3.45% | ÷1.170 | ×0.800 | — | ×1.012 | 2.39% |
Factors used: league row SL. Park (home-season share, regressed): HR 134, 1B 95, 2B 118, 3B 117, K 86, BB 102 — 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 ×0.960.
Result: wOBA .349 → .286; ISO .145 → .109; BABIP .292 → .258. 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+Wisconsin Timber Rattlers · 116 PAwOBA .317 → .254 (−63)K% 15.5% → 20.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.52% | ÷0.943 | ×1.270 | — | — | 20.89% |
| BB% (unintentional) /PA | 17.24% | ÷0.965 | ×0.710 | — | ×0.988 | 12.53% |
| HBP% /PA | 2.59% | — | ×0.790 | — | ×0.988 | 2.02% |
| Singles /BIP | 20.83% | ÷1.023 | ×0.920 | ×0.974 | ×0.988 | 18.03% |
| Doubles /BIP | 5.56% | ÷1.013 | ×0.810 | ×0.974 | ×0.988 | 4.28% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.850 | ×0.974 | ×0.988 | 0.00% |
| Home runs /BIP | 1.39% | ÷1.246 | ×0.800 | — | ×0.988 | 0.88% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 149, 1B 105, 2B 103, 3B 80, K 89, BB 93 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.
Result: wOBA .317 → .254; ISO .078 → .058; BABIP .260 → .219. 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 A+Wisconsin Timber Rattlers · 379 PAwOBA .309 → .251 (−58)K% 13.7% → 17.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.72% | ÷0.993 | ×1.270 | — | — | 17.55% |
| BB% (unintentional) /PA | 12.14% | ÷0.995 | ×0.710 | — | ×0.998 | 8.65% |
| HBP% /PA | 2.37% | — | ×0.790 | — | ×0.998 | 1.87% |
| Singles /BIP | 20.22% | ÷1.022 | ×0.920 | ×0.965 | ×0.998 | 17.54% |
| Doubles /BIP | 5.62% | ÷0.991 | ×0.810 | ×0.965 | ×0.998 | 4.42% |
| Triples /BIP | 0.75% | ÷1.150 | ×0.850 | ×0.965 | ×0.998 | 0.53% |
| Home runs /BIP | 1.50% | ÷0.979 | ×0.800 | — | ×0.998 | 1.22% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 96, 1B 104, 2B 98, 3B 130, K 99, BB 99 — 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 ×0.965.
Result: wOBA .309 → .251; ISO .097 → .078; BABIP .266 → .224. 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).
2023 A+Wisconsin Timber Rattlers · 361 PAwOBA .295 → .244 (−51)K% 14.7% → 19.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.68% | ÷0.955 | ×1.270 | — | — | 19.52% |
| BB% (unintentional) /PA | 12.74% | ÷1.024 | ×0.710 | — | ×1.012 | 8.94% |
| HBP% /PA | 1.39% | — | ×0.790 | — | ×1.012 | 1.11% |
| Singles /BIP | 25.30% | ÷1.013 | ×0.920 | ×0.979 | ×1.012 | 22.78% |
| Doubles /BIP | 3.16% | ÷0.966 | ×0.810 | ×0.979 | ×1.012 | 2.63% |
| Triples /BIP | 0.40% | ÷1.150 | ×0.850 | ×0.979 | ×1.012 | 0.29% |
| Home runs /BIP | 0.40% | ÷1.033 | ×0.800 | — | ×1.012 | 0.31% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 107, 1B 103, 2B 93, 3B 130, K 91, BB 105 — 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 ×0.979.
Result: wOBA .295 → .244; ISO .042 → .034; BABIP .286 → .255. 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).
2023 ACarolina Mudcats · 109 PAwOBA .419 → .318 (−101)K% 13.8% → 18.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.76% | ÷0.990 | ×1.360 | — | — | 18.90% |
| BB% (unintentional) /PA | 23.85% | ÷1.018 | ×0.690 | — | — | 16.17% |
| HBP% /PA | 0.92% | — | ×0.780 | — | — | 0.72% |
| Singles /BIP | 20.90% | ÷1.049 | ×0.920 | ×0.950 | — | 17.40% |
| Doubles /BIP | 10.45% | ÷1.090 | ×0.830 | ×0.950 | — | 7.56% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | ×0.950 | — | 0.00% |
| Home runs /BIP | 4.48% | ÷1.072 | ×0.800 | — | — | 3.34% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 118, 3B 80, K 98, BB 104 — 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 ×0.950.
Result: wOBA .419 → .318; ISO .195 → .150; BABIP .328 → .258. 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 — .