Jeremiah Jenkins
1B San Jose Giants| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 21 | ASF | 49 | .295/.367/.545 | 2 | 0 | 77 | — | .200/.265/.356 |
| 2025 | 22 | A/ROKSF | 283 | .261/.367/.436 | 7 | 0 | 63 | — | .197/.274/.304 |
| 2026 | 23 | ASF | 464 | .226/.359/.439 | 17 | 0 | 62 | — | .167/.270/.311 |
| 2027PROJMLE | 24 | MLBSF | 380 | .178/.267/.312 | 9 | 3 | 65 | -0.7 | |
| 2028PROJ30% MLB | 25 | MLBSF | 78 | .179/.267/.308 | 2 | 1 | 67 | -0.3 |
Tools · ContractCON 40 / POW 35
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 | — | 49 | 44 | 13 | 3 | 1 | 2 | 4 | 16 | 1 | 0 | 0 | 295 | 367 | 545 | 913 | 250 | 423 | 33 | 8 | 398 | 77 | — | — | — | — | — | — |
| 2025 | 22 | A | San Jose Giants | — | 217 | 187 | 43 | 9 | 2 | 4 | 24 | 38 | 5 | 0 | 0 | 230 | 333 | 364 | 697 | 134 | 267 | 18 | 11 | 317 | 46 | — | — | — | — | — | — |
| 2025 | 22 | ROK | ACL Giants | — | 66 | 54 | 20 | 4 | 2 | 3 | 10 | 9 | 1 | 0 | 0 | 370 | 477 | 685 | 1.162 | 315 | 395 | 14 | 15 | 489 | 117 | — | — | — | — | — | — |
| 2026 | 23 | A | San Jose Giants | — | 464 | 380 | 86 | 24 | 3 | 17 | 70 | 135 | 9 | 0 | 0 | 226 | 359 | 439 | 799 | 213 | 296 | 29 | 15 | 355 | 62 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2024 | 21 | A MLE | San Jose Giants | — | 49 | 45 | 9 | 2 | 1 | 1 | 3 | 23 | 1 | 0 | 0 | 200 | 265 | 356 | 621 | 156 | 389 | 47 | 6 | 282 | 77 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | San Jose Giants | — | 217 | 196 | 35 | 6 | 2 | 2 | 15 | 54 | 5 | 0 | 0 | 179 | 255 | 260 | 515 | 82 | 232 | 25 | 7 | 236 | 46 | — | — | — | — | — | — |
| 2025 | 22 | ROK MLE | ACL Giants | — | 66 | 58 | 15 | 3 | 1 | 2 | 6 | 12 | 1 | 0 | 0 | 259 | 338 | 448 | 787 | 190 | 284 | 18 | 9 | 341 | 117 | — | — | — | — | — | — |
| 2026 | 23 | A MLE | San Jose Giants | — | 464 | 402 | 67 | 18 | 2 | 12 | 48 | 184 | 9 | 0 | 0 | 167 | 270 | 311 | 581 | 144 | 251 | 40 | 10 | 260 | 62 | — | — | — | — | — | — |
| 2024 | 21 | A MLE | San Jose Giants | — | 49 | 45 | 9 | 2 | 1 | 1 | 3 | 23 | 1 | 0 | 0 | 200 | 265 | 356 | 621 | 156 | 381 | 47 | 6 | 282 | 77 | — | — | — | — | — | — |
| 2024 | 21 | A RAW | San Jose Giants | — | 49 | 44 | 13 | 3 | 1 | 2 | 4 | 16 | 1 | 0 | 0 | 295 | 367 | 545 | 913 | 250 | 423 | 33 | 8 | 398 | 77 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | 2 teams | — | 283 | 254 | 50 | 9 | 3 | 4 | 21 | 66 | 6 | 0 | 0 | 197 | 274 | 303 | 577 | 106 | 247 | 23 | 7 | 260 | 62 | — | — | — | — | — | — |
| 2025 | 22 | A RAW | 2 teams | — | 283 | 241 | 63 | 13 | 4 | 7 | 34 | 47 | 6 | 0 | 0 | 261 | 367 | 436 | 802 | 174 | 296 | 17 | 12 | 357 | 62 | — | — | — | — | — | — |
| 2026 | 23 | A MLE | San Jose Giants | — | 464 | 402 | 67 | 18 | 2 | 12 | 48 | 184 | 9 | 0 | 0 | 167 | 270 | 311 | 581 | 144 | 261 | 40 | 10 | 260 | 62 | — | — | — | — | — | — |
| 2026 | 23 | A RAW | San Jose Giants | — | 464 | 380 | 86 | 24 | 3 | 17 | 70 | 135 | 9 | 0 | 0 | 226 | 359 | 439 | 799 | 213 | 296 | 29 | 15 | 355 | 62 | — | — | — | — | — | — |
| 2024 | 21 | A MLE | San Jose Giants | — | 49 | 45 | 9 | 2 | 1 | 1 | 3 | 23 | 1 | 0 | 0 | 200 | 265 | 356 | 621 | 156 | 389 | 47 | 6 | 282 | 77 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | 2 teams | — | 283 | 254 | 50 | 9 | 3 | 4 | 21 | 66 | 6 | 0 | 0 | 197 | 274 | 303 | 577 | 106 | 244 | 23 | 7 | 260 | 62 | — | — | — | — | — | — |
| 2026 | 23 | A MLE | San Jose Giants | — | 464 | 404 | 67 | 18 | 2 | 12 | 48 | 184 | 9 | 0 | 0 | 166 | 270 | 309 | 580 | 144 | 251 | 40 | 10 | 260 | 62 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 21 | A MLE | San Jose Giants | — | 49 | 45 | 9 | 2 | 1 | 1 | 3 | 23 | 1 | 0 | 0 | 200 | 265 | 356 | 621 | 156 | 389 | 47 | 6 | 282 | 77 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | 2 teams | — | 283 | 254 | 50 | 9 | 3 | 4 | 21 | 66 | 6 | 0 | 0 | 197 | 274 | 303 | 577 | 106 | 244 | 23 | 7 | 260 | 62 | — | — | — | — | — | — |
| 2026 | 23 | A MLE | San Jose Giants | — | 464 | 404 | 67 | 18 | 2 | 12 | 48 | 184 | 9 | 0 | 0 | 166 | 270 | 309 | 580 | 144 | 251 | 40 | 10 | 260 | 62 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 24 | MLB MLE | SF | 0% | 380 | 336 | 59 | 13 | 2 | 9 | 35 | 146 | 6 | 3 | 1 | 178 | 267 | 312 | 579 | 133 | 277 | 38 | 9 | 264 | 65 | -16 | +0 | +0 | -7 | +8 | -0.7 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 25 | MLB MLE | SF | 30% | 260 | 230 | 42 | 9 | 2 | 6 | 24 | 98 | 4 | 2 | 1 | 182 | 271 | 318 | 589 | 136 | 278 | 38 | 9 | 268 | 67 | -10 | +0 | +0 | -5 | +6 | -0.9 |
| 2028 | 25 | MLB CTX | SF | 30% | 78 | 70 | 12 | 3 | 0 | 2 | 7 | 29 | 1 | 1 | 0 | 179 | 267 | 308 | 576 | 130 | 274 | 37 | 9 | 263 | 67 | -3 | +0 | +0 | -1 | +2 | -0.3 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 78 | 70 | 12 | 3 | 0 | 2 | 7 | 29 | 1 | 1 | 0 | 171 | 256 | 300 | 556 | 129 | 256 | 37 | 9 | 263 | 64 | -3 | +0 | +0 | -1 | +2 | -0.3 | |
| / 162G | — | A+C | — | 650 | 583 | 100 | 25 | 0 | 17 | 58 | 242 | 8 | 8 | 0 | 172 | 255 | 302 | 557 | 130 | 256 | 37 | 9 | 263 | 64 | -25 | +2 | +0 | -12 | +14 | -2.2 | |
| Career | — | MLE | — | 1266 | 1117 | 201 | 45 | 9 | 28 | 115 | 452 | 23 | 3 | 1 | 180 | 270 | 312 | 582 | 132 | 268 | 36 | 9 | 263 | 64 | -19 | +0 | +0 | -8 | +10 | -1.7 | |
| / 162G | — | MLE | — | 650 | 573 | 103 | 23 | 5 | 14 | 59 | 232 | 12 | 2 | 1 | 180 | 270 | 311 | 581 | 131 | 268 | 36 | 9 | 263 | 64 | -26 | +0 | +0 | -12 | +14 | -2.4 | |
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 · 464 PAwOBA .349 → .260 (−90)K% 29.1% → 39.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.09% | ÷1.000 | ×1.360 | — | — | 39.57% |
| BB% (unintentional) /PA | 15.09% | ÷1.000 | ×0.690 | — | ×0.990 | 10.31% |
| HBP% /PA | 1.94% | — | ×0.780 | — | ×0.990 | 1.50% |
| Singles /BIP | 17.14% | ÷1.000 | ×0.920 | ×0.982 | ×0.990 | 15.33% |
| Doubles /BIP | 9.80% | ÷1.000 | ×0.830 | ×0.982 | ×0.990 | 7.90% |
| Triples /BIP | 1.22% | ÷1.000 | ×0.910 | ×0.982 | ×0.990 | 1.08% |
| Home runs /BIP | 6.94% | ÷1.000 | ×0.800 | — | ×0.990 | 5.50% |
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 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.
Result: wOBA .349 → .260; ISO .213 → .158; BABIP .296 → .251. 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 · 217 PAwOBA .309 → .236 (−74)K% 17.5% → 24.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.51% | ÷0.962 | ×1.360 | — | — | 24.77% |
| BB% (unintentional) /PA | 10.60% | ÷1.055 | ×0.690 | — | — | 6.93% |
| HBP% /PA | 2.30% | — | ×0.780 | — | — | 1.80% |
| Singles /BIP | 18.79% | ÷1.007 | ×0.920 | ×1.003 | — | 17.21% |
| Doubles /BIP | 6.04% | ÷1.138 | ×0.830 | ×1.003 | — | 4.42% |
| Triples /BIP | 1.34% | ÷0.902 | ×0.910 | ×1.003 | — | 1.36% |
| Home runs /BIP | 2.68% | ÷1.358 | ×0.800 | — | — | 1.58% |
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 ×1.003.
Result: wOBA .309 → .236; ISO .134 → .092; BABIP .267 → .232. 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 · 66 PAwOBA .484 → .341 (−143)K% 13.6% → 18.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.64% | ÷1.045 | ×1.440 | — | — | 18.79% |
| BB% (unintentional) /PA | 15.15% | ÷1.070 | ×0.620 | — | ×0.975 | 8.56% |
| HBP% /PA | 1.52% | — | ×0.720 | — | ×0.975 | 1.06% |
| Singles /BIP | 24.44% | ÷1.042 | ×0.820 | — | ×0.975 | 18.76% |
| Doubles /BIP | 8.89% | ÷1.001 | ×0.720 | — | ×0.975 | 6.23% |
| Triples /BIP | 4.44% | ÷1.150 | ×0.720 | — | ×0.975 | 2.71% |
| Home runs /BIP | 6.67% | ÷1.128 | ×0.780 | — | ×0.975 | 4.49% |
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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .484 → .341; ISO .315 → .220; BABIP .395 → .284. 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 · 49 PAwOBA .387 → .282 (−105)K% 32.7% → 46.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.65% | ÷0.957 | ×1.360 | — | — | 46.42% |
| BB% (unintentional) /PA | 8.16% | ÷0.966 | ×0.690 | — | ×1.015 | 5.92% |
| HBP% /PA | 2.04% | — | ×0.780 | — | ×1.015 | 1.62% |
| Singles /BIP | 25.00% | ÷0.961 | ×0.920 | — | ×1.015 | 24.29% |
| Doubles /BIP | 10.71% | ÷1.012 | ×0.830 | — | ×1.015 | 8.92% |
| Triples /BIP | 3.57% | ÷1.000 | ×0.910 | — | ×1.015 | 3.30% |
| Home runs /BIP | 7.14% | ÷0.959 | ×0.800 | — | ×1.015 | 6.05% |
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).
Result: wOBA .387 → .282; ISO .250 → .173; BABIP .423 → .389. 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).