Danyer Sanabria
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2021 | 19 | ROKARI | 64 | .107/.206/.196 | 1 | 2 | -36 | — | .068/.127/.153 |
| 2022 | 20 | A/ROK2 orgs | 218 | .276/.333/.412 | 3 | 2 | 53 | — | .210/.254/.303 |
| 2023 | 21 | AARI | 191 | .238/.303/.360 | 2 | 2 | 42 | — | .192/.239/.282 |
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) | |||||||||||||||||||||||||||||||
| 2019 | 17 | ROK | DSL D-backs 2 | — | 261 | 246 | 60 | 13 | 2 | 8 | 9 | 54 | 1 | 6 | 6 | 244 | 273 | 411 | 684 | 167 | 275 | 21 | 3 | 295 | 4 | — | — | — | — | — | — |
| 2021 | 19 | ROK | ACL D-backs | — | 64 | 56 | 6 | 0 | 1 | 1 | 7 | 25 | 0 | 2 | 0 | 107 | 206 | 196 | 403 | 89 | 161 | 39 | 11 | 191 | -36 | — | — | — | — | — | — |
| 2022 | 20 | A | Visalia Rawhide | — | 129 | 116 | 24 | 5 | 2 | 2 | 10 | 40 | 1 | 1 | 1 | 207 | 276 | 336 | 612 | 129 | 293 | 31 | 8 | 272 | 32 | — | — | — | — | — | — |
| 2022 | 20 | ROK | ACL D-backs Red | — | 89 | 83 | 31 | 5 | 2 | 1 | 6 | 16 | 0 | 1 | 0 | 373 | 416 | 518 | 934 | 145 | 455 | 18 | 7 | 413 | 84 | — | — | — | — | — | — |
| 2023 | 21 | A | Visalia Rawhide | — | 191 | 172 | 41 | 9 | 3 | 2 | 16 | 55 | 0 | 2 | 1 | 238 | 303 | 360 | 664 | 122 | 339 | 29 | 8 | 294 | 42 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 17 | ROK MLE | DSL D-backs 2 | — | 261 | 248 | 36 | 7 | 1 | 4 | 7 | 66 | 1 | 6 | 6 | 145 | 172 | 230 | 402 | 85 | 172 | 25 | 3 | 174 | 4 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL D-backs | — | 64 | 59 | 4 | 0 | 1 | 1 | 4 | 37 | 0 | 2 | 0 | 68 | 127 | 153 | 280 | 85 | 128 | 58 | 6 | 115 | -36 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | Visalia Rawhide | — | 129 | 119 | 20 | 4 | 2 | 1 | 7 | 54 | 1 | 1 | 1 | 168 | 220 | 261 | 481 | 92 | 287 | 42 | 5 | 216 | 32 | — | — | — | — | — | — |
| 2022 | 20 | ROK MLE | ACL D-backs Red | — | 89 | 85 | 23 | 3 | 1 | 1 | 4 | 23 | 0 | 1 | 0 | 271 | 303 | 365 | 668 | 94 | 367 | 26 | 4 | 292 | 84 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | Visalia Rawhide | — | 191 | 177 | 34 | 7 | 3 | 1 | 11 | 73 | 0 | 2 | 1 | 192 | 239 | 282 | 522 | 90 | 312 | 38 | 6 | 231 | 42 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL D-backs 2 | — | 261 | 248 | 36 | 7 | 1 | 4 | 7 | 66 | 1 | 6 | 6 | 145 | 172 | 230 | 402 | 85 | 175 | 25 | 3 | 174 | 4 | — | — | — | — | — | — |
| 2019 | 17 | ROK RAW | DSL D-backs 2 | — | 261 | 246 | 60 | 13 | 2 | 8 | 9 | 54 | 1 | 6 | 6 | 244 | 273 | 411 | 684 | 167 | 275 | 21 | 3 | 295 | 4 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL D-backs | — | 64 | 59 | 4 | 0 | 1 | 1 | 4 | 37 | 0 | 2 | 0 | 68 | 127 | 153 | 280 | 85 | 136 | 58 | 6 | 115 | -36 | — | — | — | — | — | — |
| 2021 | 19 | ROK RAW | ACL D-backs | — | 64 | 56 | 6 | 0 | 1 | 1 | 7 | 25 | 0 | 2 | 0 | 107 | 206 | 196 | 403 | 89 | 161 | 39 | 11 | 191 | -36 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | 2 teams | — | 218 | 204 | 44 | 8 | 3 | 2 | 11 | 77 | 1 | 2 | 1 | 216 | 259 | 314 | 573 | 98 | 333 | 35 | 5 | 247 | 53 | — | — | — | — | — | — |
| 2022 | 20 | A RAW | 2 teams | — | 218 | 199 | 55 | 10 | 4 | 3 | 16 | 56 | 1 | 2 | 1 | 276 | 333 | 412 | 745 | 136 | 369 | 26 | 7 | 329 | 53 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | Visalia Rawhide | — | 191 | 177 | 34 | 7 | 3 | 1 | 11 | 73 | 0 | 2 | 1 | 192 | 239 | 282 | 522 | 90 | 320 | 38 | 6 | 231 | 42 | — | — | — | — | — | — |
| 2023 | 21 | A RAW | Visalia Rawhide | — | 191 | 172 | 41 | 9 | 3 | 2 | 16 | 55 | 0 | 2 | 1 | 238 | 303 | 360 | 664 | 122 | 339 | 29 | 8 | 294 | 42 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL D-backs 2 | — | 261 | 251 | 36 | 7 | 1 | 4 | 7 | 66 | 1 | 6 | 6 | 143 | 172 | 227 | 399 | 84 | 172 | 25 | 3 | 174 | 4 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL D-backs | — | 64 | 60 | 4 | 0 | 1 | 1 | 4 | 37 | 0 | 2 | 0 | 67 | 127 | 150 | 277 | 83 | 128 | 58 | 6 | 115 | -36 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | 2 teams | — | 218 | 204 | 44 | 8 | 3 | 2 | 11 | 77 | 1 | 2 | 1 | 216 | 259 | 314 | 573 | 98 | 320 | 35 | 5 | 247 | 53 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | Visalia Rawhide | — | 191 | 178 | 34 | 7 | 3 | 1 | 11 | 73 | 0 | 2 | 1 | 191 | 239 | 281 | 520 | 90 | 312 | 38 | 6 | 231 | 42 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 734 | 688 | 118 | 22 | 8 | 8 | 33 | 253 | 2 | 12 | 8 | 172 | 212 | 262 | 473 | 90 | 253 | 34 | 4 | 205 | 25 | -65 | -1 | +0 | +3 | +16 | -4.9 | |
| / 162G | — | MLE | — | 650 | 609 | 104 | 19 | 7 | 7 | 29 | 224 | 2 | 11 | 7 | 171 | 211 | 259 | 470 | 89 | 253 | 34 | 4 | 205 | 25 | -58 | -1 | +0 | +2 | +14 | -4.3 | |
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 AVisalia Rawhide · 191 PAwOBA .286 → .231 (−56)K% 28.8% → 38.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.80% | ÷1.019 | ×1.360 | — | — | 38.42% |
| BB% (unintentional) /PA | 8.38% | ÷0.987 | ×0.690 | — | ×1.015 | 5.94% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.015 | 0.00% |
| Singles /BIP | 23.08% | ÷1.060 | ×0.920 | ×1.050 | ×1.015 | 21.35% |
| Doubles /BIP | 7.69% | ÷1.029 | ×0.830 | ×1.050 | ×1.015 | 6.61% |
| Triples /BIP | 2.56% | ÷0.900 | ×0.910 | ×1.050 | ×1.015 | 2.76% |
| Home runs /BIP | 1.71% | ÷1.003 | ×0.800 | — | ×1.015 | 1.38% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 112, 2B 106, 3B 80, K 104, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .286 → .231; ISO .122 → .101; BABIP .339 → .312. 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 AVisalia Rawhide · 129 PAwOBA .267 → .216 (−51)K% 31.0% → 42.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.01% | ÷1.001 | ×1.360 | — | — | 42.13% |
| BB% (unintentional) /PA | 7.75% | ÷1.023 | ×0.690 | — | ×1.030 | 5.39% |
| HBP% /PA | 0.78% | — | ×0.780 | — | ×1.030 | 0.62% |
| Singles /BIP | 19.74% | ÷0.997 | ×0.920 | ×1.050 | ×1.030 | 19.70% |
| Doubles /BIP | 6.58% | ÷0.942 | ×0.830 | ×1.050 | ×1.030 | 6.27% |
| Triples /BIP | 2.63% | ÷1.000 | ×0.910 | ×1.050 | ×1.030 | 2.59% |
| Home runs /BIP | 2.63% | ÷1.062 | ×0.800 | — | ×1.030 | 2.04% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 99, 2B 88, 3B 100, K 100, BB 105 — 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 ×1.050.
Result: wOBA .267 → .216; ISO .129 → .101; BABIP .293 → .287. 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 D-backs Red · 89 PAwOBA .402 → .292 (−110)K% 18.0% → 26.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.98% | ÷0.996 | ×1.440 | — | — | 25.99% |
| BB% (unintentional) /PA | 6.74% | ÷0.969 | ×0.620 | — | ×0.995 | 4.29% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 34.33% | ÷0.996 | ×0.820 | ×1.015 | ×0.995 | 28.52% |
| Doubles /BIP | 7.46% | ÷0.974 | ×0.720 | ×1.015 | ×0.995 | 5.57% |
| Triples /BIP | 2.99% | ÷0.964 | ×0.720 | ×1.015 | ×0.995 | 2.25% |
| Home runs /BIP | 1.49% | ÷1.119 | ×0.780 | — | ×0.995 | 1.04% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 99, 2B 95, 3B 93, K 99, BB 94 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.
Result: wOBA .402 → .292; ISO .145 → .099; BABIP .455 → .367. 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 D-backs · 64 PAwOBA .189 → .115 (−74)K% 39.1% → 57.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 39.06% | ÷0.985 | ×1.440 | — | — | 57.12% |
| BB% (unintentional) /PA | 10.94% | ÷1.008 | ×0.620 | — | ×1.008 | 6.78% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×1.008 | 0.00% |
| Singles /BIP | 12.90% | ÷1.010 | ×0.820 | — | ×1.008 | 10.55% |
| Doubles /BIP | 0.00% | ÷0.950 | ×0.720 | — | ×1.008 | 0.00% |
| Triples /BIP | 3.23% | ÷0.941 | ×0.720 | — | ×1.008 | 2.49% |
| Home runs /BIP | 3.23% | ÷0.986 | ×0.780 | — | ×1.008 | 2.57% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 102, 2B 90, 3B 88, K 97, BB 102 — 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 .189 → .115; ISO .089 → .052; BABIP .161 → .128. 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 D-backs 2 · 261 PAwOBA .292 → .174 (−118)K% 20.7% → 25.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.69% | ÷1.000 | ×1.220 | — | — | 25.24% |
| BB% (unintentional) /PA | 3.45% | ÷1.000 | ×0.700 | — | ×1.022 | 2.47% |
| HBP% /PA | 0.38% | — | ×0.700 | — | ×1.022 | 0.27% |
| Singles /BIP | 19.27% | ÷1.000 | ×0.680 | ×0.950 | ×1.022 | 12.73% |
| Doubles /BIP | 6.77% | ÷1.000 | ×0.600 | ×0.950 | ×1.022 | 3.95% |
| Triples /BIP | 1.04% | ÷1.000 | ×0.600 | ×0.950 | ×1.022 | 0.61% |
| Home runs /BIP | 4.17% | ÷1.000 | ×0.470 | — | ×1.022 | 2.00% |
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 .292 → .174; ISO .167 → .085; BABIP .275 → .172. 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).