Hayden Jatczak
1B San Jose Giants| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2026 | 24 | A+/ASF | 464 | .285/.394/.457 | 12 | 9 | 85 | — | .230/.312/.359 |
| 2027PROJMLE | 25 | MLBSF | 380 | .220/.301/.345 | 8 | 6 | 84 | 0.3 | |
| 2028PROJ38% MLB | 26 | MLBSF | 96 | .218/.298/.339 | 2 | 2 | 84 | -0.1 | |
| 2029PROJ52% MLB | 27 | MLBSF | 146 | .218/.298/.339 | 3 | 2 | 84 | -0.2 |
Tools · ContractCON 45 / POW 42
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) | |||||||||||||||||||||||||||||||
| 2026 | 24 | A+ | Eugene Emeralds | — | 154 | 129 | 34 | 5 | 0 | 3 | 20 | 30 | 2 | 3 | 0 | 264 | 371 | 372 | 743 | 109 | 313 | 19 | 13 | 335 | 67 | — | — | — | — | — | — |
| 2026 | 24 | A | San Jose Giants | — | 310 | 254 | 75 | 21 | 2 | 9 | 44 | 55 | 3 | 6 | 3 | 295 | 405 | 500 | 905 | 205 | 333 | 18 | 14 | 389 | 94 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2026 | 24 | A+ MLE | Eugene Emeralds | — | 154 | 135 | 29 | 4 | 0 | 2 | 14 | 41 | 2 | 3 | 0 | 215 | 298 | 289 | 587 | 74 | 269 | 27 | 9 | 267 | 67 | — | — | — | — | — | — |
| 2026 | 24 | A MLE | San Jose Giants | — | 310 | 269 | 64 | 17 | 2 | 7 | 29 | 75 | 3 | 6 | 3 | 238 | 319 | 394 | 713 | 156 | 273 | 24 | 9 | 307 | 94 | — | — | — | — | — | — |
| 2026 | 24 | A MLE | 2 teams | — | 464 | 404 | 93 | 21 | 2 | 10 | 43 | 115 | 5 | 9 | 3 | 230 | 312 | 366 | 678 | 136 | 286 | 25 | 9 | 294 | 85 | — | — | — | — | — | — |
| 2026 | 24 | A RAW | 2 teams | — | 464 | 383 | 109 | 26 | 2 | 12 | 64 | 85 | 5 | 9 | 3 | 285 | 394 | 457 | 851 | 172 | 327 | 18 | 14 | 371 | 85 | — | — | — | — | — | — |
| 2026 | 24 | A MLE | 2 teams | — | 464 | 413 | 93 | 21 | 2 | 10 | 43 | 115 | 5 | 9 | 3 | 225 | 312 | 358 | 670 | 133 | 272 | 25 | 9 | 294 | 85 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2026 | 24 | A MLE | 2 teams | — | 464 | 413 | 93 | 21 | 2 | 10 | 43 | 115 | 5 | 9 | 3 | 225 | 312 | 358 | 670 | 133 | 272 | 25 | 9 | 294 | 85 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | SF | 0% | 380 | 339 | 75 | 15 | 2 | 8 | 35 | 98 | 3 | 6 | 2 | 220 | 301 | 345 | 646 | 125 | 283 | 26 | 9 | 292 | 84 | -7 | +0 | +0 | -7 | +8 | 0.3 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | SF | 38% | 254 | 226 | 50 | 10 | 1 | 5 | 24 | 65 | 2 | 4 | 1 | 221 | 301 | 348 | 649 | 126 | 283 | 26 | 9 | 293 | 84 | -5 | +0 | +0 | -5 | +6 | -0.3 |
| 2029 | 27 | MLB MLE | SF | 52% | 281 | 250 | 55 | 11 | 1 | 6 | 26 | 72 | 3 | 5 | 1 | 222 | 301 | 348 | 649 | 127 | 283 | 26 | 9 | 293 | 84 | -5 | +1 | +0 | -5 | +6 | -0.4 |
| 2030 | 28 | MLB MLE | SF | 60% | 297 | 265 | 58 | 12 | 1 | 6 | 27 | 76 | 3 | 4 | 1 | 221 | 300 | 346 | 646 | 125 | 283 | 26 | 9 | 292 | 84 | -6 | +0 | -1 | -5 | +6 | -0.5 |
| 2031 | 29 | MLB MLE | SF | 62% | 296 | 264 | 57 | 11 | 1 | 6 | 27 | 76 | 3 | 4 | 1 | 220 | 298 | 343 | 641 | 123 | 281 | 26 | 9 | 290 | 82 | -6 | +0 | -1 | -5 | +6 | -0.6 |
| 2032 | 30 | MLB MLE | SF | 68% | 294 | 263 | 57 | 11 | 1 | 6 | 27 | 76 | 2 | 4 | 2 | 218 | 295 | 338 | 633 | 120 | 280 | 26 | 9 | 286 | 80 | -7 | +0 | -2 | -5 | +6 | -0.8 |
| 2028 | 26 | MLB CTX | SF | 38% | 96 | 86 | 18 | 4 | 0 | 2 | 9 | 25 | 1 | 2 | 0 | 218 | 298 | 339 | 637 | 121 | 280 | 26 | 9 | 288 | 84 | -2 | +0 | +0 | -2 | +2 | -0.1 |
| 2029 | 27 | MLB CTX | SF | 52% | 146 | 130 | 29 | 6 | 1 | 3 | 14 | 37 | 1 | 2 | 1 | 218 | 298 | 339 | 637 | 121 | 280 | 25 | 10 | 288 | 84 | -3 | +0 | +0 | -3 | +3 | -0.2 |
| 2030 | 28 | MLB CTX | SF | 60% | 177 | 157 | 34 | 7 | 1 | 3 | 16 | 45 | 2 | 3 | 1 | 217 | 297 | 337 | 634 | 120 | 279 | 25 | 9 | 287 | 84 | -3 | +0 | -0 | -3 | +4 | -0.3 |
| 2031 | 29 | MLB CTX | SF | 62% | 182 | 161 | 36 | 7 | 1 | 4 | 17 | 47 | 2 | 2 | 1 | 216 | 295 | 334 | 628 | 118 | 278 | 26 | 9 | 285 | 82 | -4 | +0 | -1 | -3 | +4 | -0.4 |
| 2032 | 30 | MLB CTX | SF | 68% | 200 | 178 | 39 | 8 | 1 | 4 | 18 | 52 | 2 | 2 | 1 | 214 | 292 | 329 | 621 | 115 | 276 | 26 | 9 | 282 | 80 | -5 | +0 | -1 | -4 | +4 | -0.6 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 801 | 712 | 156 | 32 | 4 | 16 | 74 | 206 | 8 | 11 | 4 | 219 | 300 | 343 | 642 | 124 | 283 | 26 | 9 | 285 | 83 | -17 | +1 | -3 | -14 | +17 | -1.6 | |
| / 162G | — | A+C | — | 650 | 578 | 126 | 26 | 3 | 13 | 60 | 167 | 6 | 9 | 3 | 218 | 298 | 341 | 639 | 123 | 282 | 26 | 9 | 285 | 83 | -13 | +0 | -2 | -12 | +14 | -1.3 | |
| Career | — | MLE | — | 2096 | 1859 | 411 | 84 | 8 | 43 | 193 | 534 | 20 | 33 | 10 | 221 | 301 | 344 | 645 | 123 | 283 | 25 | 9 | 291 | 83 | -33 | +2 | -4 | -29 | +35 | -3.0 | |
| / 162G | — | MLE | — | 650 | 577 | 127 | 26 | 2 | 13 | 60 | 166 | 6 | 10 | 3 | 220 | 300 | 340 | 640 | 120 | 283 | 26 | 9 | 291 | 83 | -13 | +1 | -2 | -12 | +14 | -1.2 | |
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 ASan Jose Giants · 310 PAwOBA .390 → .307 (−83)K% 17.7% → 24.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.74% | ÷1.000 | ×1.360 | — | — | 24.13% |
| BB% (unintentional) /PA | 14.19% | ÷1.000 | ×0.690 | — | ×0.970 | 9.50% |
| HBP% /PA | 0.97% | — | ×0.780 | — | ×0.970 | 0.73% |
| Singles /BIP | 21.61% | ÷1.000 | ×0.920 | ×0.958 | ×0.970 | 18.47% |
| Doubles /BIP | 10.55% | ÷1.000 | ×0.830 | ×0.958 | ×0.970 | 8.14% |
| Triples /BIP | 1.01% | ÷1.000 | ×0.910 | ×0.958 | ×0.970 | 0.85% |
| Home runs /BIP | 4.52% | ÷1.000 | ×0.800 | — | ×0.970 | 3.51% |
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 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.
Result: wOBA .390 → .307; ISO .205 → .163; BABIP .333 → .273. 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).
2026 A+Eugene Emeralds · 154 PAwOBA .334 → .267 (−66)K% 19.5% → 26.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.48% | ÷1.000 | ×1.350 | — | — | 26.30% |
| BB% (unintentional) /PA | 12.99% | ÷1.000 | ×0.710 | — | ×0.978 | 9.02% |
| HBP% /PA | 1.30% | — | ×0.810 | — | ×0.978 | 1.03% |
| Singles /BIP | 26.26% | ÷1.000 | ×0.910 | ×0.986 | ×0.978 | 23.04% |
| Doubles /BIP | 5.05% | ÷1.000 | ×0.830 | ×0.986 | ×0.978 | 4.04% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.820 | ×0.986 | ×0.978 | 0.00% |
| Home runs /BIP | 3.03% | ÷1.000 | ×0.830 | — | ×0.978 | 2.46% |
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 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.
Result: wOBA .334 → .267; ISO .109 → .087; BABIP .313 → .269. 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).