Nelson B Alvarez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 20 | ROKDSL Yankees 1 | 239 | .290/.403/.415 | 3 | 1 | 46 | — | .175/.265/.231 |
| 2017 | 21 | ROKGCL Yankees E… | 180 | .181/.341/.208 | 0 | 5 | 11 | — | .122/.235/.141 |
| 2018 | 22 | ROKGCL Yankees W… | 111 | .103/.284/.149 | 1 | 1 | -13 | — | .073/.183/.115 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 19 | ROK | DSL Yankees 1 | — | 259 | 201 | 56 | 7 | 5 | 4 | 46 | 52 | 3 | 2 | 3 | 279 | 420 | 423 | 843 | 144 | 338 | 20 | 18 | 370 | 56 | — | — | — | — | — | — |
| 2016 | 20 | ROK | DSL Yankees 1 | — | 239 | 200 | 58 | 12 | 2 | 3 | 34 | 38 | 4 | 1 | 2 | 290 | 403 | 415 | 818 | 125 | 344 | 16 | 14 | 371 | 46 | — | — | — | — | — | — |
| 2017 | 21 | ROK | GCL Yankees East | — | 180 | 144 | 26 | 2 | 1 | 0 | 31 | 37 | 4 | 5 | 1 | 181 | 341 | 208 | 549 | 28 | 241 | 21 | 17 | 275 | 11 | — | — | — | — | — | — |
| 2018 | 22 | ROK | GCL Yankees West | — | 111 | 87 | 9 | 1 | 0 | 1 | 22 | 20 | 0 | 1 | 0 | 103 | 284 | 149 | 434 | 46 | 119 | 18 | 20 | 226 | -13 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 19 | ROK MLE | DSL Yankees 1 | — | 259 | 218 | 38 | 4 | 3 | 2 | 29 | 63 | 3 | 2 | 3 | 174 | 280 | 248 | 528 | 73 | 213 | 24 | 11 | 251 | 56 | — | — | — | — | — | — |
| 2016 | 20 | ROK MLE | DSL Yankees 1 | — | 239 | 212 | 37 | 7 | 1 | 1 | 22 | 46 | 4 | 1 | 2 | 175 | 265 | 231 | 496 | 57 | 218 | 19 | 9 | 236 | 46 | — | — | — | — | — | — |
| 2017 | 21 | ROK MLE | GCL Yankees East | — | 180 | 156 | 19 | 1 | 1 | 0 | 19 | 53 | 4 | 5 | 1 | 122 | 235 | 141 | 376 | 19 | 184 | 29 | 11 | 185 | 11 | — | — | — | — | — | — |
| 2018 | 22 | ROK MLE | GCL Yankees West | — | 111 | 96 | 7 | 1 | 0 | 1 | 13 | 29 | 0 | 1 | 0 | 73 | 183 | 115 | 298 | 42 | 89 | 26 | 12 | 149 | -13 | — | — | — | — | — | — |
| 2015 | 19 | ROK MLE | DSL Yankees 1 | — | 259 | 218 | 38 | 4 | 3 | 2 | 29 | 63 | 3 | 2 | 3 | 174 | 280 | 248 | 528 | 73 | 222 | 24 | 11 | 251 | 56 | — | — | — | — | — | — |
| 2015 | 19 | ROK RAW | DSL Yankees 1 | — | 259 | 201 | 56 | 7 | 5 | 4 | 46 | 52 | 3 | 2 | 3 | 279 | 420 | 423 | 843 | 144 | 338 | 20 | 18 | 370 | 56 | — | — | — | — | — | — |
| 2016 | 20 | ROK MLE | DSL Yankees 1 | — | 239 | 212 | 37 | 7 | 1 | 1 | 22 | 46 | 4 | 1 | 2 | 175 | 265 | 231 | 496 | 57 | 217 | 19 | 9 | 236 | 46 | — | — | — | — | — | — |
| 2016 | 20 | ROK RAW | DSL Yankees 1 | — | 239 | 200 | 58 | 12 | 2 | 3 | 34 | 38 | 4 | 1 | 2 | 290 | 403 | 415 | 818 | 125 | 344 | 16 | 14 | 371 | 46 | — | — | — | — | — | — |
| 2017 | 21 | ROK MLE | GCL Yankees East | — | 180 | 156 | 19 | 1 | 1 | 0 | 19 | 53 | 4 | 5 | 1 | 122 | 235 | 141 | 376 | 19 | 183 | 29 | 11 | 185 | 11 | — | — | — | — | — | — |
| 2017 | 21 | ROK RAW | GCL Yankees East | — | 180 | 144 | 26 | 2 | 1 | 0 | 31 | 37 | 4 | 5 | 1 | 181 | 341 | 208 | 549 | 28 | 241 | 21 | 17 | 275 | 11 | — | — | — | — | — | — |
| 2018 | 22 | ROK MLE | GCL Yankees West | — | 111 | 96 | 7 | 1 | 0 | 1 | 13 | 29 | 0 | 1 | 0 | 73 | 183 | 115 | 298 | 42 | 90 | 26 | 12 | 149 | -13 | — | — | — | — | — | — |
| 2018 | 22 | ROK RAW | GCL Yankees West | — | 111 | 87 | 9 | 1 | 0 | 1 | 22 | 20 | 0 | 1 | 0 | 103 | 284 | 149 | 434 | 46 | 119 | 18 | 20 | 226 | -13 | — | — | — | — | — | — |
| 2015 | 19 | ROK MLE | DSL Yankees 1 | — | 259 | 225 | 38 | 4 | 3 | 2 | 29 | 63 | 3 | 2 | 3 | 169 | 280 | 240 | 520 | 71 | 213 | 24 | 11 | 251 | 56 | — | — | — | — | — | — |
| 2016 | 20 | ROK MLE | DSL Yankees 1 | — | 239 | 211 | 37 | 7 | 1 | 1 | 22 | 46 | 4 | 1 | 2 | 175 | 265 | 232 | 497 | 57 | 218 | 19 | 9 | 236 | 46 | — | — | — | — | — | — |
| 2017 | 21 | ROK MLE | GCL Yankees East | — | 180 | 155 | 19 | 1 | 1 | 0 | 19 | 53 | 4 | 5 | 1 | 123 | 235 | 142 | 377 | 19 | 184 | 29 | 11 | 185 | 11 | — | — | — | — | — | — |
| 2018 | 22 | ROK MLE | GCL Yankees West | — | 111 | 97 | 7 | 1 | 0 | 1 | 13 | 29 | 0 | 1 | 0 | 72 | 183 | 113 | 297 | 41 | 89 | 26 | 12 | 149 | -13 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 789 | 682 | 101 | 13 | 5 | 4 | 83 | 191 | 11 | 9 | 6 | 148 | 251 | 199 | 451 | 51 | 194 | 24 | 11 | 217 | 33 | -63 | -1 | +0 | -14 | +17 | -6.2 | |
| / 162G | — | MLE | — | 650 | 562 | 83 | 11 | 4 | 3 | 68 | 157 | 9 | 7 | 5 | 148 | 250 | 198 | 448 | 50 | 194 | 24 | 10 | 217 | 33 | -52 | -1 | +0 | -12 | +14 | -5.1 | |
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.
2018 ROKGCL Yankees West · 111 PAwOBA .224 → .149 (−74)K% 18.0% → 25.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.02% | ÷1.000 | ×1.440 | — | — | 25.95% |
| BB% (unintentional) /PA | 19.82% | ÷1.000 | ×0.620 | — | ×0.975 | 11.98% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 10.45% | ÷1.000 | ×0.820 | ×0.954 | ×0.975 | 7.97% |
| Doubles /BIP | 1.49% | ÷1.000 | ×0.720 | ×0.954 | ×0.975 | 1.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×0.954 | ×0.975 | 0.00% |
| Home runs /BIP | 1.49% | ÷1.000 | ×0.780 | — | ×0.975 | 1.14% |
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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.954.
Result: wOBA .224 → .149; ISO .046 → .035; BABIP .119 → .089. 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).
2017 ROKGCL Yankees East · 180 PAwOBA .271 → .185 (−86)K% 20.6% → 29.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.56% | ÷1.000 | ×1.440 | — | — | 29.60% |
| BB% (unintentional) /PA | 17.22% | ÷1.000 | ×0.620 | — | ×0.985 | 10.52% |
| HBP% /PA | 2.22% | — | ×0.720 | — | ×0.985 | 1.58% |
| Singles /BIP | 21.50% | ÷1.000 | ×0.820 | ×0.958 | ×0.985 | 16.63% |
| Doubles /BIP | 1.87% | ÷1.000 | ×0.720 | ×0.958 | ×0.985 | 1.27% |
| Triples /BIP | 0.93% | ÷1.000 | ×0.720 | ×0.958 | ×0.985 | 0.64% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.985 | 0.00% |
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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.
Result: wOBA .271 → .185; ISO .028 → .019; BABIP .241 → .184. 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).
2016 DSLDSL Yankees 1 · 239 PAwOBA .361 → .236 (−125)K% 15.9% → 19.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.90% | ÷1.000 | ×1.220 | — | — | 19.40% |
| BB% (unintentional) /PA | 13.39% | ÷1.000 | ×0.700 | — | ×0.985 | 9.23% |
| HBP% /PA | 1.67% | — | ×0.700 | — | ×0.985 | 1.15% |
| Singles /BIP | 25.31% | ÷1.000 | ×0.680 | ×0.984 | ×0.985 | 16.68% |
| Doubles /BIP | 7.41% | ÷1.000 | ×0.600 | ×0.984 | ×0.985 | 4.31% |
| Triples /BIP | 1.23% | ÷1.000 | ×0.600 | ×0.984 | ×0.985 | 0.72% |
| Home runs /BIP | 1.85% | ÷1.000 | ×0.470 | — | ×0.985 | 0.86% |
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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.
Result: wOBA .361 → .236; ISO .125 → .070; BABIP .344 → .218. 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).
2015 DSLDSL Yankees 1 · 259 PAwOBA .370 → .251 (−119)K% 20.1% → 24.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.08% | ÷1.000 | ×1.220 | — | — | 24.49% |
| BB% (unintentional) /PA | 16.22% | ÷1.000 | ×0.700 | — | ×0.995 | 11.29% |
| HBP% /PA | 1.16% | — | ×0.700 | — | ×0.995 | 0.81% |
| Singles /BIP | 26.85% | ÷1.000 | ×0.680 | ×0.964 | ×0.995 | 17.52% |
| Doubles /BIP | 4.70% | ÷1.000 | ×0.600 | ×0.964 | ×0.995 | 2.70% |
| Triples /BIP | 3.36% | ÷1.000 | ×0.600 | ×0.964 | ×0.995 | 1.93% |
| Home runs /BIP | 2.68% | ÷1.000 | ×0.470 | — | ×0.995 | 1.26% |
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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.
Result: wOBA .370 → .251; ISO .144 → .084; BABIP .338 → .213. 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).