Rayner Santana
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2021 | 18 | ROKACL Giants Bl… | 108 | .237/.308/.412 | 4 | 0 | -7 | — | .111/.178/.192 |
| 2022 | 19 | ASF | 194 | .180/.262/.267 | 4 | 3 | -8 | — | .112/.173/.157 |
| 2023 | 20 | ROKACL Giants Bl… | 65 | .192/.323/.423 | 3 | 0 | 32 | — | .127/.226/.273 |
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) | |||||||||||||||||||||||||||||||
| 2019 | 16 | ROK | DSL Giants | — | 214 | 170 | 50 | 14 | 0 | 10 | 37 | 58 | 7 | 2 | 3 | 294 | 439 | 553 | 992 | 259 | 392 | 27 | 17 | 436 | 65 | — | — | — | — | — | — |
| 2021 | 18 | ROK | ACL Giants Black | — | 108 | 97 | 23 | 5 | 0 | 4 | 6 | 46 | 4 | 0 | 1 | 237 | 308 | 412 | 721 | 175 | 396 | 43 | 6 | 320 | -7 | — | — | — | — | — | — |
| 2022 | 19 | A | San Jose Giants | — | 194 | 172 | 31 | 3 | 0 | 4 | 18 | 81 | 1 | 3 | 1 | 180 | 262 | 267 | 529 | 87 | 303 | 42 | 9 | 243 | -8 | — | — | — | — | — | — |
| 2023 | 20 | ROK | ACL Giants Black | — | 65 | 52 | 10 | 3 | 0 | 3 | 7 | 22 | 3 | 0 | 0 | 192 | 323 | 423 | 746 | 231 | 233 | 34 | 11 | 320 | 32 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 16 | ROK MLE | DSL Giants | — | 214 | 181 | 30 | 8 | 0 | 5 | 26 | 71 | 7 | 2 | 3 | 166 | 294 | 293 | 587 | 127 | 236 | 33 | 12 | 265 | 65 | — | — | — | — | — | — |
| 2021 | 18 | ROK MLE | ACL Giants Black | — | 108 | 99 | 11 | 2 | 0 | 2 | 4 | 70 | 4 | 0 | 1 | 111 | 178 | 192 | 369 | 81 | 298 | 65 | 4 | 158 | -7 | — | — | — | — | — | — |
| 2022 | 19 | A MLE | San Jose Giants | — | 194 | 178 | 20 | 2 | 0 | 2 | 12 | 117 | 1 | 3 | 1 | 112 | 173 | 157 | 330 | 45 | 281 | 60 | 6 | 156 | -8 | — | — | — | — | — | — |
| 2023 | 20 | ROK MLE | ACL Giants Black | — | 65 | 55 | 7 | 2 | 0 | 2 | 4 | 32 | 3 | 0 | 0 | 127 | 226 | 273 | 499 | 145 | 166 | 49 | 6 | 215 | 32 | — | — | — | — | — | — |
| 2019 | 16 | ROK MLE | DSL Giants | — | 214 | 181 | 30 | 8 | 0 | 5 | 26 | 71 | 7 | 2 | 3 | 166 | 294 | 293 | 587 | 127 | 238 | 33 | 12 | 265 | 65 | — | — | — | — | — | — |
| 2019 | 16 | ROK RAW | DSL Giants | — | 214 | 170 | 50 | 14 | 0 | 10 | 37 | 58 | 7 | 2 | 3 | 294 | 439 | 553 | 992 | 259 | 392 | 27 | 17 | 436 | 65 | — | — | — | — | — | — |
| 2021 | 18 | ROK MLE | ACL Giants Black | — | 108 | 99 | 11 | 2 | 0 | 2 | 4 | 70 | 4 | 0 | 1 | 111 | 178 | 192 | 369 | 81 | 321 | 65 | 4 | 158 | -7 | — | — | — | — | — | — |
| 2021 | 18 | ROK RAW | ACL Giants Black | — | 108 | 97 | 23 | 5 | 0 | 4 | 6 | 46 | 4 | 0 | 1 | 237 | 308 | 412 | 721 | 175 | 396 | 43 | 6 | 320 | -7 | — | — | — | — | — | — |
| 2022 | 19 | A MLE | San Jose Giants | — | 194 | 178 | 20 | 2 | 0 | 2 | 12 | 117 | 1 | 3 | 1 | 112 | 173 | 157 | 330 | 45 | 295 | 60 | 6 | 156 | -8 | — | — | — | — | — | — |
| 2022 | 19 | A RAW | San Jose Giants | — | 194 | 172 | 31 | 3 | 0 | 4 | 18 | 81 | 1 | 3 | 1 | 180 | 262 | 267 | 529 | 87 | 303 | 42 | 9 | 243 | -8 | — | — | — | — | — | — |
| 2023 | 20 | ROK MLE | ACL Giants Black | — | 65 | 55 | 7 | 2 | 0 | 2 | 4 | 32 | 3 | 0 | 0 | 127 | 226 | 273 | 499 | 145 | 208 | 49 | 6 | 215 | 32 | — | — | — | — | — | — |
| 2023 | 20 | ROK RAW | ACL Giants Black | — | 65 | 52 | 10 | 3 | 0 | 3 | 7 | 22 | 3 | 0 | 0 | 192 | 323 | 423 | 746 | 231 | 233 | 34 | 11 | 320 | 32 | — | — | — | — | — | — |
| 2019 | 16 | ROK MLE | DSL Giants | — | 214 | 179 | 30 | 8 | 0 | 5 | 26 | 71 | 7 | 2 | 3 | 168 | 294 | 296 | 590 | 128 | 236 | 33 | 12 | 265 | 65 | — | — | — | — | — | — |
| 2021 | 18 | ROK MLE | ACL Giants Black | — | 108 | 99 | 11 | 2 | 0 | 2 | 4 | 70 | 4 | 0 | 1 | 111 | 178 | 192 | 369 | 81 | 298 | 65 | 4 | 158 | -7 | — | — | — | — | — | — |
| 2022 | 19 | A MLE | San Jose Giants | — | 194 | 179 | 20 | 2 | 0 | 2 | 12 | 117 | 1 | 3 | 1 | 112 | 173 | 156 | 329 | 45 | 281 | 60 | 6 | 156 | -8 | — | — | — | — | — | — |
| 2023 | 20 | ROK MLE | ACL Giants Black | — | 65 | 58 | 7 | 2 | 0 | 2 | 4 | 32 | 3 | 0 | 0 | 121 | 226 | 259 | 484 | 138 | 166 | 49 | 6 | 215 | 32 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 581 | 513 | 68 | 14 | 0 | 11 | 46 | 290 | 15 | 5 | 5 | 133 | 225 | 224 | 449 | 92 | 261 | 50 | 8 | 203 | 24 | -53 | -1 | +0 | +10 | +13 | -3.1 | |
| / 162G | — | MLE | — | 650 | 574 | 76 | 16 | 0 | 12 | 51 | 324 | 17 | 6 | 6 | 132 | 224 | 223 | 447 | 91 | 261 | 50 | 8 | 203 | 24 | -59 | -1 | +0 | +12 | +14 | -3.5 | |
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.
2023 ROKACL Giants Black · 65 PAwOBA .327 → .215 (−112)K% 33.8% → 48.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.85% | ÷1.001 | ×1.440 | — | — | 48.69% |
| BB% (unintentional) /PA | 10.77% | ÷0.979 | ×0.620 | — | ×0.985 | 6.72% |
| HBP% /PA | 4.62% | — | ×0.720 | — | ×0.985 | 3.27% |
| Singles /BIP | 13.33% | ÷1.053 | ×0.820 | — | ×0.985 | 10.23% |
| Doubles /BIP | 10.00% | ÷1.017 | ×0.720 | — | ×0.985 | 6.97% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.985 | 0.00% |
| Home runs /BIP | 10.00% | ÷1.031 | ×0.780 | — | ×0.985 | 7.45% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 111, 2B 103, 3B 100, K 100, BB 96 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).
Result: wOBA .327 → .215; ISO .231 → .151; BABIP .233 → .166. 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 ASan Jose Giants · 194 PAwOBA .240 → .156 (−84)K% 41.8% → 60.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 41.75% | ÷0.943 | ×1.360 | — | — | 60.20% |
| BB% (unintentional) /PA | 9.28% | ÷1.055 | ×0.690 | — | ×1.030 | 6.25% |
| HBP% /PA | 0.52% | — | ×0.780 | — | ×1.030 | 0.41% |
| Singles /BIP | 26.37% | ÷0.983 | ×0.920 | ×0.989 | ×1.030 | 25.13% |
| Doubles /BIP | 3.30% | ÷0.957 | ×0.830 | ×0.989 | ×1.030 | 2.91% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | ×0.989 | ×1.030 | 0.00% |
| Home runs /BIP | 4.40% | ÷1.063 | ×0.800 | — | ×1.030 | 3.41% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 91, 3B 80, K 89, BB 111 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.
Result: wOBA .240 → .156; ISO .087 → .049; BABIP .303 → .281. 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).
2021 ROKACL Giants Black · 108 PAwOBA .314 → .158 (−156)K% 42.6% → 64.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 42.59% | ÷0.950 | ×1.440 | — | — | 64.53% |
| BB% (unintentional) /PA | 5.56% | ÷0.958 | ×0.620 | — | ×1.008 | 3.62% |
| HBP% /PA | 3.70% | — | ×0.720 | — | ×1.008 | 2.69% |
| Singles /BIP | 27.45% | ÷1.003 | ×0.820 | — | ×1.008 | 22.61% |
| Doubles /BIP | 9.80% | ÷1.069 | ×0.720 | — | ×1.008 | 6.65% |
| Triples /BIP | 0.00% | ÷1.045 | ×0.720 | — | ×1.008 | 0.00% |
| Home runs /BIP | 7.84% | ÷1.222 | ×0.780 | — | ×1.008 | 5.04% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 144, 1B 101, 2B 114, 3B 109, K 90, BB 92 — 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 .314 → .158; ISO .175 → .071; BABIP .396 → .298. 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).
2019 DSLDSL Giants · 214 PAwOBA .424 → .265 (−159)K% 27.1% → 33.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.10% | ÷1.000 | ×1.220 | — | — | 33.07% |
| BB% (unintentional) /PA | 16.82% | ÷1.000 | ×0.700 | — | ×1.022 | 12.04% |
| HBP% /PA | 3.27% | — | ×0.700 | — | ×1.022 | 2.34% |
| Singles /BIP | 23.21% | ÷1.000 | ×0.680 | ×0.950 | ×1.022 | 15.33% |
| Doubles /BIP | 12.50% | ÷1.000 | ×0.600 | ×0.950 | ×1.022 | 7.29% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×0.950 | ×1.022 | 0.00% |
| Home runs /BIP | 8.93% | ÷1.000 | ×0.470 | — | ×1.022 | 4.29% |
Factors used: level-wide DSL 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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .424 → .265; ISO .259 → .133; BABIP .392 → .236. 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).