Jorge Ramirez
C ACL Giants| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 17 | ROKDSL Giants Or… | 79 | .254/.367/.373 | 2 | 1 | 32 | — | .157/.253/.214 |
| 2024 | 18 | ROKDSL Giants Or… | 85 | .300/.424/.400 | 1 | 1 | 57 | — | .205/.318/.288 |
| 2025 | 19 | ROKSF | 35 | .129/.229/.129 | 0 | 0 | -35 | — | .094/.171/.094 |
| 2027PROJMLE | 21 | MLBSF | 145 | .198/.269/.266 | 1 | 1 | 53 | 0.0 | |
| 2028PROJ34% MLB | 22 | MLBSF | 24 | .199/.271/.273 | 0 | 0 | 58 | -0.0 |
Tools · 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 | 17 | ROK | DSL Giants Orange | — | 79 | 67 | 17 | 2 | 0 | 2 | 11 | 26 | 1 | 1 | 1 | 254 | 367 | 373 | 740 | 119 | 385 | 33 | 14 | 341 | 32 | — | — | — | — | — | — |
| 2024 | 18 | ROK | DSL Giants Orange | — | 85 | 70 | 21 | 2 | 1 | 1 | 11 | 20 | 4 | 1 | 2 | 300 | 424 | 400 | 824 | 100 | 408 | 24 | 13 | 380 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK | ACL Giants | — | 35 | 31 | 4 | 0 | 0 | 0 | 2 | 13 | 2 | 0 | 0 | 129 | 229 | 129 | 358 | 222 | 37 | 6 | 185 | -35 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 17 | ROK MLE | DSL Giants Orange | — | 79 | 70 | 11 | 1 | 0 | 1 | 8 | 32 | 1 | 1 | 1 | 157 | 253 | 214 | 467 | 57 | 268 | 41 | 10 | 216 | 32 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL Giants Orange | — | 85 | 73 | 15 | 1 | 1 | 1 | 8 | 24 | 4 | 1 | 2 | 205 | 318 | 288 | 605 | 82 | 280 | 28 | 9 | 253 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | ACL Giants | — | 35 | 32 | 3 | 0 | 0 | 0 | 1 | 18 | 2 | 0 | 0 | 94 | 171 | 94 | 265 | 176 | 51 | 3 | 117 | -35 | — | — | — | — | — | — | |
| 2023 | 17 | ROK MLE | DSL Giants Orange | — | 79 | 70 | 11 | 1 | 0 | 1 | 8 | 32 | 1 | 1 | 1 | 157 | 253 | 214 | 467 | 57 | 270 | 41 | 10 | 216 | 32 | — | — | — | — | — | — |
| 2023 | 17 | ROK RAW | DSL Giants Orange | — | 79 | 67 | 17 | 2 | 0 | 2 | 11 | 26 | 1 | 1 | 1 | 254 | 367 | 373 | 740 | 119 | 385 | 33 | 14 | 341 | 32 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL Giants Orange | — | 85 | 73 | 15 | 1 | 1 | 1 | 8 | 24 | 4 | 1 | 2 | 205 | 318 | 288 | 605 | 82 | 292 | 28 | 9 | 253 | 57 | — | — | — | — | — | — |
| 2024 | 18 | ROK RAW | DSL Giants Orange | — | 85 | 70 | 21 | 2 | 1 | 1 | 11 | 20 | 4 | 1 | 2 | 300 | 424 | 400 | 824 | 100 | 408 | 24 | 13 | 380 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | ACL Giants | — | 35 | 32 | 3 | 0 | 0 | 0 | 1 | 18 | 2 | 0 | 0 | 94 | 171 | 94 | 265 | 214 | 51 | 3 | 117 | -35 | — | — | — | — | — | — | |
| 2025 | 19 | ROK RAW | ACL Giants | — | 35 | 31 | 4 | 0 | 0 | 0 | 2 | 13 | 2 | 0 | 0 | 129 | 229 | 129 | 358 | 222 | 37 | 6 | 185 | -35 | — | — | — | — | — | — | |
| 2023 | 17 | ROK MLE | DSL Giants Orange | — | 79 | 70 | 11 | 1 | 0 | 1 | 8 | 32 | 1 | 1 | 1 | 157 | 253 | 214 | 467 | 57 | 268 | 41 | 10 | 216 | 32 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL Giants Orange | — | 85 | 73 | 15 | 1 | 1 | 1 | 8 | 24 | 4 | 1 | 2 | 205 | 318 | 288 | 605 | 82 | 280 | 28 | 9 | 253 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | ACL Giants | — | 35 | 32 | 3 | 0 | 0 | 0 | 1 | 18 | 2 | 0 | 0 | 94 | 171 | 94 | 265 | 176 | 51 | 3 | 117 | -35 | — | — | — | — | — | — | |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 18 | ROK MLE | DSL Giants Orange | — | 85 | 73 | 15 | 1 | 1 | 1 | 8 | 24 | 4 | 1 | 2 | 205 | 318 | 288 | 605 | 82 | 280 | 28 | 9 | 253 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | ACL Giants | — | 35 | 32 | 3 | 0 | 0 | 0 | 1 | 18 | 2 | 0 | 0 | 94 | 171 | 94 | 265 | 176 | 51 | 3 | 117 | -35 | — | — | — | — | — | — | |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 21 | MLB MLE | SF | 0% | 145 | 131 | 25 | 3 | 1 | 1 | 10 | 45 | 3 | 1 | 0 | 198 | 269 | 266 | 535 | 68 | 289 | 31 | 7 | 247 | 53 | -8 | +0 | +0 | +3 | +3 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 22 | MLB MLE | SF | 34% | 70 | 64 | 14 | 2 | 1 | 1 | 5 | 22 | 1 | 1 | 0 | 202 | 274 | 278 | 552 | 77 | 290 | 31 | 7 | 254 | 58 | -3 | +0 | +0 | +1 | +2 | -0.1 |
| 2028 | 22 | MLB CTX | SF | 34% | 24 | 22 | 4 | 1 | 0 | 0 | 2 | 7 | 0 | 0 | 0 | 199 | 271 | 273 | 544 | 74 | 286 | 29 | 8 | 251 | 58 | -1 | +0 | +0 | +0 | +1 | -0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 24 | 22 | 4 | 1 | 0 | 0 | 2 | 7 | 0 | 0 | 0 | 182 | 250 | 227 | 477 | 45 | 267 | 29 | 8 | 251 | 40 | -1 | +0 | +0 | +0 | +1 | -0.0 | |
| / 162G | — | A+C | — | 650 | 596 | 108 | 27 | 0 | 0 | 54 | 190 | 0 | 0 | 0 | 181 | 249 | 227 | 476 | 45 | 266 | 29 | 8 | 251 | 40 | -32 | +0 | +0 | +12 | +14 | -0.7 | |
| Career | — | MLE | — | 294 | 262 | 47 | 5 | 2 | 3 | 24 | 104 | 8 | 3 | 3 | 179 | 269 | 248 | 517 | 69 | 284 | 35 | 8 | 227 | 40 | -5 | +0 | +0 | +2 | +2 | -0.1 | |
| / 162G | — | MLE | — | 650 | 579 | 104 | 11 | 4 | 7 | 53 | 230 | 18 | 7 | 7 | 180 | 269 | 249 | 518 | 69 | 284 | 35 | 8 | 227 | 40 | -33 | +1 | +0 | +12 | +14 | -0.6 | |
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.
2025 ROKACL Giants · 35 PAwOBA .181 → .117 (−64)K% 37.1% → 51.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 37.14% | ÷1.045 | ×1.440 | — | — | 51.17% |
| BB% (unintentional) /PA | 5.71% | ÷1.070 | ×0.620 | — | ×1.008 | 3.34% |
| HBP% /PA | 5.71% | — | ×0.720 | — | ×1.008 | 4.15% |
| Singles /BIP | 22.22% | ÷1.042 | ×0.820 | — | ×1.008 | 17.63% |
| Doubles /BIP | 0.00% | ÷1.001 | ×0.720 | — | ×1.008 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | — | ×1.008 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.128 | ×0.780 | — | ×1.008 | 0.00% |
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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).
Result: wOBA .181 → .117; ISO .000 → .000; BABIP .222 → .176. 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 DSLDSL Giants Orange · 85 PAwOBA .371 → .253 (−117)K% 23.5% → 28.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.53% | ÷1.001 | ×1.220 | — | — | 28.69% |
| BB% (unintentional) /PA | 12.94% | ÷0.982 | ×0.700 | — | ×1.008 | 9.29% |
| HBP% /PA | 4.71% | — | ×0.700 | — | ×1.008 | 3.32% |
| Singles /BIP | 34.00% | ÷0.972 | ×0.680 | — | ×1.008 | 23.96% |
| Doubles /BIP | 4.00% | ÷0.982 | ×0.600 | — | ×1.008 | 2.46% |
| Triples /BIP | 2.00% | ÷0.971 | ×0.600 | — | ×1.008 | 1.24% |
| Home runs /BIP | 2.00% | ÷0.914 | ×0.470 | — | ×1.008 | 1.04% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 94, 2B 96, 3B 94, K 100, BB 96 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).
Result: wOBA .371 → .253; ISO .100 → .057; BABIP .408 → .280. 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 DSLDSL Giants Orange · 79 PAwOBA .332 → .216 (−116)K% 32.9% → 40.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.91% | ÷0.997 | ×1.220 | — | — | 40.29% |
| BB% (unintentional) /PA | 13.92% | ÷1.027 | ×0.700 | — | ×1.022 | 9.70% |
| HBP% /PA | 1.27% | — | ×0.700 | — | ×1.022 | 0.91% |
| Singles /BIP | 31.71% | ÷0.952 | ×0.680 | — | ×1.022 | 23.16% |
| Doubles /BIP | 4.88% | ÷0.993 | ×0.600 | — | ×1.022 | 3.01% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.600 | — | ×1.022 | 0.00% |
| Home runs /BIP | 4.88% | ÷0.949 | ×0.470 | — | ×1.022 | 2.47% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 90, 2B 99, 3B 130, K 99, BB 105 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).
Result: wOBA .332 → .216; ISO .119 → .060; BABIP .385 → .268. 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).