Richard Nunez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 22 | ROKAZL Cubs | 40 | .121/.256/.121 | 0 | 0 | -30 | — | .086/.179/.086 |
| 2018 | 23 | ROKAZL Cubs 2 | 56 | .191/.309/.340 | 0 | 0 | 13 | — | .140/.218/.240 |
| 2019 | 24 | ROKAZL Cubs 2 | 102 | .271/.386/.412 | 2 | 1 | 54 | — | .187/.267/.264 |
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) | |||||||||||||||||||||||||||||||
| 2014 | 19 | ROK | DSL Cubs | — | 66 | 57 | 10 | 4 | 0 | 0 | 6 | 23 | 3 | 0 | 0 | 175 | 288 | 246 | 533 | 70 | 294 | 35 | 9 | 257 | -6 | — | — | — | — | — | — |
| 2015 | 20 | ROK | DSL Cubs | — | 152 | 130 | 32 | 6 | 1 | 1 | 19 | 25 | 2 | 4 | 3 | 246 | 351 | 331 | 682 | 85 | 295 | 16 | 12 | 315 | 27 | — | — | — | — | — | — |
| 2016 | 21 | ROK | DSL Cubs 2 | — | 201 | 161 | 44 | 8 | 1 | 1 | 33 | 24 | 4 | 17 | 6 | 273 | 409 | 354 | 763 | 81 | 309 | 12 | 16 | 352 | 45 | — | — | — | — | — | — |
| 2017 | 22 | ROK | AZL Cubs | — | 40 | 33 | 4 | 0 | 0 | 0 | 5 | 14 | 1 | 0 | 0 | 121 | 256 | 121 | 378 | 211 | 35 | 12 | 196 | -30 | — | — | — | — | — | — | |
| 2018 | 23 | ROK | AZL Cubs 2 | — | 56 | 47 | 9 | 7 | 0 | 0 | 8 | 12 | 0 | 0 | 1 | 191 | 309 | 340 | 650 | 149 | 257 | 21 | 14 | 293 | 13 | — | — | — | — | — | — |
| 2019 | 24 | ROK | AZL Cubs 2 | — | 102 | 85 | 23 | 6 | 0 | 2 | 15 | 17 | 1 | 1 | 0 | 271 | 386 | 412 | 798 | 141 | 313 | 17 | 15 | 359 | 54 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 19 | ROK MLE | DSL Cubs | — | 66 | 59 | 6 | 2 | 0 | 0 | 4 | 28 | 3 | 0 | 0 | 102 | 197 | 136 | 333 | 34 | 190 | 42 | 6 | 159 | -6 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | DSL Cubs | — | 152 | 136 | 22 | 4 | 1 | 0 | 13 | 31 | 2 | 4 | 3 | 162 | 245 | 206 | 451 | 44 | 198 | 20 | 9 | 208 | 27 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | DSL Cubs 2 | — | 201 | 171 | 30 | 5 | 1 | 0 | 23 | 29 | 4 | 17 | 6 | 175 | 288 | 216 | 504 | 41 | 195 | 14 | 11 | 234 | 45 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | AZL Cubs | — | 40 | 35 | 3 | 0 | 0 | 0 | 3 | 20 | 1 | 0 | 0 | 86 | 179 | 86 | 265 | 168 | 50 | 8 | 124 | -30 | — | — | — | — | — | — | |
| 2018 | 23 | ROK MLE | AZL Cubs 2 | — | 56 | 50 | 7 | 5 | 0 | 0 | 5 | 17 | 0 | 0 | 1 | 140 | 218 | 240 | 458 | 100 | 184 | 30 | 9 | 188 | 13 | — | — | — | — | — | — |
| 2019 | 24 | ROK MLE | AZL Cubs 2 | — | 102 | 91 | 17 | 4 | 0 | 1 | 9 | 24 | 1 | 1 | 0 | 187 | 267 | 264 | 531 | 77 | 235 | 24 | 9 | 248 | 54 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | DSL Cubs | — | 66 | 59 | 6 | 2 | 0 | 0 | 4 | 28 | 3 | 0 | 0 | 102 | 197 | 136 | 333 | 34 | 194 | 42 | 6 | 159 | -6 | — | — | — | — | — | — |
| 2014 | 19 | ROK RAW | DSL Cubs | — | 66 | 57 | 10 | 4 | 0 | 0 | 6 | 23 | 3 | 0 | 0 | 175 | 288 | 246 | 533 | 70 | 294 | 35 | 9 | 257 | -6 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | DSL Cubs | — | 152 | 136 | 22 | 4 | 1 | 0 | 13 | 31 | 2 | 4 | 3 | 162 | 245 | 206 | 451 | 44 | 208 | 20 | 9 | 208 | 27 | — | — | — | — | — | — |
| 2015 | 20 | ROK RAW | DSL Cubs | — | 152 | 130 | 32 | 6 | 1 | 1 | 19 | 25 | 2 | 4 | 3 | 246 | 351 | 331 | 682 | 85 | 295 | 16 | 12 | 315 | 27 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | DSL Cubs 2 | — | 201 | 171 | 30 | 5 | 1 | 0 | 23 | 29 | 4 | 17 | 6 | 175 | 288 | 216 | 504 | 41 | 207 | 14 | 11 | 234 | 45 | — | — | — | — | — | — |
| 2016 | 21 | ROK RAW | DSL Cubs 2 | — | 201 | 161 | 44 | 8 | 1 | 1 | 33 | 24 | 4 | 17 | 6 | 273 | 409 | 354 | 763 | 81 | 309 | 12 | 16 | 352 | 45 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | AZL Cubs | — | 40 | 35 | 3 | 0 | 0 | 0 | 3 | 20 | 1 | 0 | 0 | 86 | 179 | 86 | 265 | 200 | 50 | 8 | 124 | -30 | — | — | — | — | — | — | |
| 2017 | 22 | ROK RAW | AZL Cubs | — | 40 | 33 | 4 | 0 | 0 | 0 | 5 | 14 | 1 | 0 | 0 | 121 | 256 | 121 | 378 | 211 | 35 | 12 | 196 | -30 | — | — | — | — | — | — | |
| 2018 | 23 | ROK MLE | AZL Cubs 2 | — | 56 | 50 | 7 | 5 | 0 | 0 | 5 | 17 | 0 | 0 | 1 | 140 | 218 | 240 | 458 | 100 | 212 | 30 | 9 | 188 | 13 | — | — | — | — | — | — |
| 2018 | 23 | ROK RAW | AZL Cubs 2 | — | 56 | 47 | 9 | 7 | 0 | 0 | 8 | 12 | 0 | 0 | 1 | 191 | 309 | 340 | 650 | 149 | 257 | 21 | 14 | 293 | 13 | — | — | — | — | — | — |
| 2019 | 24 | ROK MLE | AZL Cubs 2 | — | 102 | 91 | 17 | 4 | 0 | 1 | 9 | 24 | 1 | 1 | 0 | 187 | 267 | 264 | 531 | 77 | 239 | 24 | 9 | 248 | 54 | — | — | — | — | — | — |
| 2019 | 24 | ROK RAW | AZL Cubs 2 | — | 102 | 85 | 23 | 6 | 0 | 2 | 15 | 17 | 1 | 1 | 0 | 271 | 386 | 412 | 798 | 141 | 313 | 17 | 15 | 359 | 54 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | DSL Cubs | — | 66 | 59 | 6 | 2 | 0 | 0 | 4 | 28 | 3 | 0 | 0 | 102 | 197 | 136 | 333 | 34 | 190 | 42 | 6 | 159 | -6 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | DSL Cubs | — | 152 | 136 | 22 | 4 | 1 | 0 | 13 | 31 | 2 | 4 | 3 | 162 | 245 | 206 | 451 | 44 | 198 | 20 | 9 | 208 | 27 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | DSL Cubs 2 | — | 201 | 172 | 30 | 5 | 1 | 0 | 23 | 29 | 4 | 17 | 6 | 174 | 288 | 215 | 503 | 41 | 195 | 14 | 11 | 234 | 45 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | AZL Cubs | — | 40 | 36 | 3 | 0 | 0 | 0 | 3 | 20 | 1 | 0 | 0 | 83 | 179 | 83 | 263 | 168 | 50 | 8 | 124 | -30 | — | — | — | — | — | — | |
| 2018 | 23 | ROK MLE | AZL Cubs 2 | — | 56 | 51 | 7 | 5 | 0 | 0 | 5 | 17 | 0 | 0 | 1 | 137 | 218 | 235 | 453 | 98 | 184 | 30 | 9 | 188 | 13 | — | — | — | — | — | — |
| 2019 | 24 | ROK MLE | AZL Cubs 2 | — | 102 | 91 | 17 | 4 | 0 | 1 | 9 | 24 | 1 | 1 | 0 | 187 | 267 | 264 | 531 | 77 | 235 | 24 | 9 | 248 | 54 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 617 | 542 | 85 | 20 | 2 | 1 | 57 | 149 | 11 | 22 | 10 | 157 | 251 | 207 | 457 | 50 | 212 | 24 | 9 | 211 | 29 | -52 | +0 | +0 | -11 | +13 | -5.1 | |
| / 162G | — | MLE | — | 650 | 571 | 89 | 21 | 2 | 1 | 60 | 157 | 12 | 23 | 11 | 156 | 250 | 205 | 455 | 49 | 211 | 24 | 9 | 211 | 29 | -55 | +0 | +0 | -12 | +14 | -5.4 | |
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.
2019 ROKAZL Cubs 2 · 102 PAwOBA .354 → .248 (−106)K% 16.7% → 24.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷1.000 | ×1.440 | — | — | 24.00% |
| BB% (unintentional) /PA | 14.71% | ÷1.000 | ×0.620 | — | ×0.955 | 8.71% |
| HBP% /PA | 0.98% | — | ×0.720 | — | ×0.955 | 0.67% |
| Singles /BIP | 22.06% | ÷1.000 | ×0.820 | — | ×0.955 | 17.27% |
| Doubles /BIP | 8.82% | ÷1.000 | ×0.720 | — | ×0.955 | 6.07% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.955 | 0.00% |
| Home runs /BIP | 2.94% | ÷1.000 | ×0.780 | — | ×0.955 | 2.19% |
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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).
Result: wOBA .354 → .248; ISO .141 → .101; BABIP .313 → .235. 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).
2018 ROKAZL Cubs 2 · 56 PAwOBA .286 → .188 (−98)K% 21.4% → 30.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.43% | ÷1.000 | ×1.440 | — | — | 30.86% |
| BB% (unintentional) /PA | 14.29% | ÷1.000 | ×0.620 | — | ×0.965 | 8.55% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.965 | 0.00% |
| Singles /BIP | 5.71% | ÷1.000 | ×0.820 | — | ×0.965 | 4.52% |
| Doubles /BIP | 20.00% | ÷1.000 | ×0.720 | — | ×0.965 | 13.90% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.965 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.965 | 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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).
Result: wOBA .286 → .188; ISO .149 → .100; BABIP .257 → .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).
2017 ROKAZL Cubs · 40 PAwOBA .192 → .124 (−68)K% 35.0% → 50.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 35.00% | ÷1.000 | ×1.440 | — | — | 50.40% |
| BB% (unintentional) /PA | 12.50% | ÷1.000 | ×0.620 | — | ×0.975 | 7.56% |
| HBP% /PA | 2.50% | — | ×0.720 | — | ×0.975 | 1.75% |
| Singles /BIP | 21.05% | ÷1.000 | ×0.820 | — | ×0.975 | 16.83% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.975 | 0.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×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): 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).
Result: wOBA .192 → .124; ISO .000 → .000; BABIP .211 → .168. 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 Cubs 2 · 201 PAwOBA .349 → .234 (−115)K% 11.9% → 14.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.94% | ÷1.000 | ×1.220 | — | — | 14.57% |
| BB% (unintentional) /PA | 16.42% | ÷1.000 | ×0.700 | — | ×0.975 | 11.21% |
| HBP% /PA | 1.99% | — | ×0.700 | — | ×0.975 | 1.36% |
| Singles /BIP | 24.82% | ÷1.000 | ×0.680 | ×0.977 | ×0.975 | 16.07% |
| Doubles /BIP | 5.84% | ÷1.000 | ×0.600 | ×0.977 | ×0.975 | 3.34% |
| Triples /BIP | 0.73% | ÷1.000 | ×0.600 | ×0.977 | ×0.975 | 0.42% |
| Home runs /BIP | 0.73% | ÷1.000 | ×0.470 | — | ×0.975 | 0.33% |
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 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.
Result: wOBA .349 → .234; ISO .081 → .047; BABIP .309 → .195. 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 Cubs · 152 PAwOBA .309 → .208 (−101)K% 16.4% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.45% | ÷1.000 | ×1.220 | — | — | 20.07% |
| BB% (unintentional) /PA | 12.50% | ÷1.000 | ×0.700 | — | ×0.985 | 8.62% |
| HBP% /PA | 1.32% | — | ×0.700 | — | ×0.985 | 0.91% |
| Singles /BIP | 22.86% | ÷1.000 | ×0.680 | ×1.032 | ×0.985 | 15.80% |
| Doubles /BIP | 5.71% | ÷1.000 | ×0.600 | ×1.032 | ×0.985 | 3.49% |
| Triples /BIP | 0.95% | ÷1.000 | ×0.600 | ×1.032 | ×0.985 | 0.58% |
| Home runs /BIP | 0.95% | ÷1.000 | ×0.470 | — | ×0.985 | 0.44% |
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 ×1.032.
Result: wOBA .309 → .208; ISO .085 → .049; BABIP .295 → .198. 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).
2014 DSLDSL Cubs · 66 PAwOBA .251 → .159 (−92)K% 34.8% → 42.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.85% | ÷1.000 | ×1.220 | — | — | 42.52% |
| BB% (unintentional) /PA | 9.09% | ÷1.000 | ×0.700 | — | ×0.995 | 6.33% |
| HBP% /PA | 4.55% | — | ×0.700 | — | ×0.995 | 3.17% |
| Singles /BIP | 17.65% | ÷1.000 | ×0.680 | — | ×0.995 | 11.94% |
| Doubles /BIP | 11.76% | ÷1.000 | ×0.600 | — | ×0.995 | 7.02% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | — | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×0.995 | 0.00% |
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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).
Result: wOBA .251 → .159; ISO .070 → .039; BABIP .294 → .190. 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).