Reggie Crawford
1B ACL Giants| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 21 | ROKACL Giants Bl… | 21 | .158/.238/.158 | 0 | 0 | -43 | — | .100/.143/.100 |
| 2023 | 22 | A/INTL2 orgs | 89 | .162/.287/.338 | 3 | 0 | 68 | — | .250/.294/.562 |
| 2026 | 25 | ROKSF | 17 | .357/.471/.571 | 1 | 1 | 94 | — | .267/.353/.467 |
| 2027PROJMLE | 26 | MLBSF | 200 | .205/.278/.307 | 4 | 4 | 67 | -0.1 | |
| 2028PROJ26% MLB | 27 | MLBSF | 19 | .202/.275/.299 | 0 | 0 | 67 | -0.1 |
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) | |||||||||||||||||||||||||||||||
| 2022 | 21 | ROK | ACL Giants Black | — | 21 | 19 | 3 | 0 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 158 | 238 | 158 | 396 | 300 | 43 | 10 | 196 | -43 | — | — | — | — | — | — | |
| 2023 | 22 | A | San Jose Giants | — | 18 | 16 | 4 | 2 | 0 | 1 | 0 | 4 | 1 | 0 | 0 | 250 | 294 | 562 | 857 | 312 | 250 | 22 | 0 | 349 | 82 | — | — | — | — | — | — |
| 2023 | 22 | INTL | Scottsdale Scorpions | — | 71 | 58 | 8 | 2 | 0 | 2 | 12 | 30 | 0 | 0 | 0 | 138 | 286 | 276 | 562 | 138 | 222 | 42 | 17 | 264 | 65 | — | — | — | — | — | — |
| 2026 | 25 | ROK | ACL Giants | — | 17 | 14 | 5 | 0 | 0 | 1 | 2 | 4 | 1 | 1 | 0 | 357 | 471 | 571 | 1.042 | 214 | 444 | 24 | 12 | 461 | 94 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 21 | ROK MLE | ACL Giants Black | — | 21 | 20 | 2 | 0 | 0 | 0 | 1 | 13 | 0 | 0 | 0 | 100 | 143 | 100 | 243 | 222 | 62 | 5 | 104 | -43 | — | — | — | — | — | — | |
| 2023 | 22 | A MLE | San Jose Giants | — | 18 | 16 | 4 | 2 | 0 | 1 | 0 | 6 | 1 | 0 | 0 | 250 | 294 | 562 | 857 | 312 | 206 | 33 | 0 | 289 | 82 | — | — | — | — | — | — |
| 2026 | 25 | ROK MLE | ACL Giants | — | 17 | 15 | 4 | 0 | 0 | 1 | 1 | 6 | 1 | 1 | 0 | 267 | 353 | 467 | 820 | 200 | 333 | 35 | 6 | 307 | 94 | — | — | — | — | — | — |
| 2022 | 21 | ROK MLE | ACL Giants Black | — | 21 | 20 | 2 | 0 | 0 | 0 | 1 | 13 | 0 | 0 | 0 | 100 | 143 | 100 | 243 | 286 | 62 | 5 | 104 | -43 | — | — | — | — | — | — | |
| 2022 | 21 | ROK RAW | ACL Giants Black | — | 21 | 19 | 3 | 0 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 158 | 238 | 158 | 396 | 300 | 43 | 10 | 196 | -43 | — | — | — | — | — | — | |
| 2023 | 22 | INTL MLE | 2 teams | — | 89 | 86 | 16 | 8 | 0 | 4 | 0 | 29 | 1 | 0 | 0 | 186 | 195 | 419 | 614 | 233 | 218 | 33 | 0 | 289 | 82 | — | — | — | — | — | — |
| 2023 | 22 | INTL RAW | 2 teams | — | 89 | 74 | 12 | 4 | 0 | 3 | 12 | 34 | 1 | 0 | 0 | 162 | 287 | 338 | 625 | 176 | 231 | 38 | 13 | 281 | 82 | — | — | — | — | — | — |
| 2026 | 25 | ROK MLE | ACL Giants | — | 17 | 15 | 4 | 0 | 0 | 1 | 1 | 6 | 1 | 1 | 0 | 267 | 353 | 467 | 820 | 200 | 375 | 35 | 6 | 307 | 94 | — | — | — | — | — | — |
| 2026 | 25 | ROK RAW | ACL Giants | — | 17 | 14 | 5 | 0 | 0 | 1 | 2 | 4 | 1 | 1 | 0 | 357 | 471 | 571 | 1.042 | 214 | 444 | 24 | 12 | 461 | 94 | — | — | — | — | — | — |
| 2022 | 21 | ROK MLE | ACL Giants Black | — | 21 | 20 | 2 | 0 | 0 | 0 | 1 | 13 | 0 | 0 | 0 | 100 | 143 | 100 | 243 | 222 | 62 | 5 | 104 | -43 | — | — | — | — | — | — | |
| 2023 | 22 | INTL MLE | 2 teams | — | 89 | 88 | 16 | 8 | 0 | 4 | 0 | 29 | 1 | 0 | 0 | 182 | 195 | 409 | 604 | 227 | 206 | 33 | 0 | 289 | 82 | — | — | — | — | — | — |
| 2026 | 25 | ROK MLE | ACL Giants | — | 17 | 15 | 4 | 0 | 0 | 1 | 1 | 6 | 1 | 1 | 0 | 267 | 353 | 467 | 820 | 200 | 333 | 35 | 6 | 307 | 94 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2026 | 25 | ROK MLE | ACL Giants | — | 17 | 15 | 4 | 0 | 0 | 1 | 1 | 6 | 1 | 1 | 0 | 267 | 353 | 467 | 820 | 200 | 333 | 35 | 6 | 307 | 94 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 26 | MLB MLE | SF | 0% | 200 | 180 | 36 | 3 | 1 | 4 | 14 | 65 | 4 | 4 | 1 | 205 | 278 | 307 | 585 | 102 | 291 | 32 | 7 | 267 | 67 | -8 | +0 | +0 | -4 | +4 | -0.1 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 27 | MLB MLE | SF | 26% | 73 | 67 | 13 | 1 | 0 | 2 | 5 | 24 | 1 | 1 | 0 | 206 | 279 | 309 | 588 | 103 | 290 | 33 | 7 | 268 | 67 | -3 | +0 | +0 | -1 | +2 | -0.2 |
| 2028 | 27 | MLB CTX | SF | 26% | 19 | 18 | 3 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 202 | 275 | 299 | 574 | 97 | 286 | 32 | 5 | 263 | 67 | -1 | +0 | +0 | -0 | +0 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 19 | 18 | 3 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 167 | 211 | 167 | 377 | 250 | 32 | 5 | 263 | 65 | -1 | +0 | +0 | -0 | +0 | -0.1 | ||
| / 162G | — | A+C | — | 650 | 616 | 103 | 0 | 0 | 0 | 34 | 205 | 0 | 0 | 0 | 167 | 211 | 167 | 378 | 251 | 32 | 5 | 263 | 65 | -25 | +0 | +0 | -12 | +14 | -2.3 | ||
| Career | — | MLE | — | 247 | 231 | 44 | 10 | 0 | 8 | 10 | 87 | 4 | 3 | 0 | 190 | 237 | 338 | 574 | 147 | 261 | 35 | 4 | 264 | 65 | -5 | +0 | +0 | -2 | +3 | -0.4 | |
| / 162G | — | MLE | — | 650 | 608 | 115 | 26 | 0 | 21 | 26 | 229 | 11 | 8 | 0 | 189 | 236 | 336 | 571 | 146 | 259 | 35 | 4 | 264 | 65 | -25 | +2 | +0 | -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 ROKACL Giants · 17 PAwOBA .449 → .307 (−141)K% 23.5% → 33.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.53% | ÷1.000 | ×1.440 | — | — | 33.88% |
| BB% (unintentional) /PA | 11.76% | ÷1.000 | ×0.620 | — | ×0.940 | 6.86% |
| HBP% /PA | 5.88% | — | ×0.720 | — | ×0.940 | 3.98% |
| Singles /BIP | 40.00% | ÷1.000 | ×0.820 | — | ×0.940 | 30.83% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.940 | 0.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.940 | 0.00% |
| Home runs /BIP | 10.00% | ÷1.000 | ×0.780 | — | ×0.940 | 7.33% |
Factors used: level-wide ROK 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 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).
Result: wOBA .449 → .307; ISO .214 → .148; BABIP .444 → .333. 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 ASan Jose Giants · 18 PAwOBA .359 → .289 (−69)K% 22.2% → 32.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.22% | ÷0.935 | ×1.360 | — | — | 32.32% |
| BB% (unintentional) /PA | 0.00% | ÷1.011 | ×0.690 | — | ×0.990 | 0.00% |
| HBP% /PA | 5.56% | — | ×0.780 | — | ×0.990 | 4.29% |
| Singles /BIP | 8.33% | ÷1.049 | ×0.920 | — | ×0.990 | 7.23% |
| Doubles /BIP | 16.67% | ÷1.005 | ×0.830 | — | ×0.990 | 13.63% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 8.33% | ÷0.890 | ×0.800 | — | ×0.990 | 7.41% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 110, 2B 101, 3B 80, K 87, BB 102 — 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).
Result: wOBA .359 → .289; ISO .312 → .256; BABIP .250 → .206. 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).
2022 ROKACL Giants Black · 21 PAwOBA .191 → .104 (−87)K% 42.9% → 61.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 42.86% | ÷1.002 | ×1.440 | — | — | 61.57% |
| BB% (unintentional) /PA | 9.52% | ÷0.983 | ×0.620 | — | ×0.975 | 5.86% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 30.00% | ÷1.081 | ×0.820 | — | ×0.975 | 22.19% |
| Doubles /BIP | 0.00% | ÷0.921 | ×0.720 | — | ×0.975 | 0.00% |
| Triples /BIP | 0.00% | ÷0.940 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.073 | ×0.780 | — | ×0.975 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 116, 2B 84, 3B 88, K 100, BB 97 — 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 .191 → .104; ISO .000 → .000; BABIP .300 → .222. 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 — .