Kevin Cornelius
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 22 | ROKGCL Yankees2 | 100 | .305/.430/.598 | 7 | 1 | 97 | — | .213/.300/.404 |
| 2016 | 23 | A+/ROK2 orgs | 229 | .299/.395/.589 | 13 | 0 | 107 | — | .232/.303/.464 |
| 2017 | 24 | AATennessee Smo… | 140 | .197/.237/.311 | 3 | 0 | 14 | — | .157/.187/.239 |
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) | |||||||||||||||||||||||||||||||
| 2013 | 20 | ROK | GCL Yankees2 | — | 104 | 93 | 25 | 10 | 0 | 0 | 9 | 19 | 0 | 1 | 0 | 269 | 333 | 376 | 710 | 108 | 333 | 18 | 9 | 314 | 40 | — | — | — | — | — | — |
| 2015 | 22 | ROK | GCL Yankees2 | — | 100 | 82 | 25 | 3 | 0 | 7 | 18 | 20 | 0 | 1 | 0 | 305 | 430 | 598 | 1.028 | 293 | 327 | 20 | 18 | 446 | 97 | — | — | — | — | — | — |
| 2016 | 23 | A+ | Tampa Yankees | — | 171 | 148 | 41 | 9 | 1 | 7 | 22 | 43 | 1 | 0 | 0 | 277 | 374 | 493 | 868 | 216 | 347 | 25 | 13 | 383 | 93 | — | — | — | — | — | — |
| 2016 | 23 | ROK | Pulaski Yankees | — | 58 | 49 | 18 | 5 | 1 | 6 | 7 | 11 | 1 | 0 | 0 | 367 | 456 | 878 | 1.334 | 510 | 364 | 19 | 12 | 544 | 149 | — | — | — | — | — | — |
| 2017 | 24 | AA | Tennessee Smokies | — | 140 | 132 | 26 | 6 | 0 | 3 | 7 | 51 | 0 | 0 | 0 | 197 | 237 | 311 | 548 | 114 | 291 | 36 | 5 | 244 | 14 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 20 | ROK MLE | GCL Yankees2 | — | 104 | 96 | 19 | 7 | 0 | 0 | 6 | 27 | 0 | 1 | 0 | 198 | 245 | 271 | 516 | 73 | 269 | 26 | 6 | 228 | 40 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | GCL Yankees2 | — | 100 | 89 | 19 | 2 | 0 | 5 | 11 | 29 | 0 | 1 | 0 | 213 | 300 | 404 | 704 | 191 | 258 | 29 | 11 | 311 | 97 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Tampa Yankees | — | 171 | 155 | 34 | 8 | 1 | 6 | 15 | 62 | 1 | 0 | 0 | 219 | 292 | 400 | 692 | 181 | 326 | 36 | 9 | 306 | 93 | — | — | — | — | — | — |
| 2016 | 23 | ROK MLE | Pulaski Yankees | — | 58 | 52 | 14 | 3 | 1 | 5 | 4 | 16 | 1 | 0 | 0 | 269 | 333 | 654 | 987 | 385 | 263 | 28 | 7 | 388 | 149 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Tennessee Smokies | — | 140 | 134 | 21 | 5 | 0 | 2 | 5 | 63 | 0 | 0 | 0 | 157 | 187 | 239 | 426 | 82 | 265 | 45 | 4 | 189 | 14 | — | — | — | — | — | — |
| 2013 | 20 | ROK MLE | GCL Yankees2 | — | 104 | 96 | 19 | 7 | 0 | 0 | 6 | 27 | 0 | 1 | 0 | 198 | 245 | 271 | 516 | 73 | 271 | 26 | 6 | 228 | 40 | — | — | — | — | — | — |
| 2013 | 20 | ROK RAW | GCL Yankees2 | — | 104 | 93 | 25 | 10 | 0 | 0 | 9 | 19 | 0 | 1 | 0 | 269 | 333 | 376 | 710 | 108 | 333 | 18 | 9 | 314 | 40 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | GCL Yankees2 | — | 100 | 89 | 19 | 2 | 0 | 5 | 11 | 29 | 0 | 1 | 0 | 213 | 300 | 404 | 704 | 191 | 255 | 29 | 11 | 311 | 97 | — | — | — | — | — | — |
| 2015 | 22 | ROK RAW | GCL Yankees2 | — | 100 | 82 | 25 | 3 | 0 | 7 | 18 | 20 | 0 | 1 | 0 | 305 | 430 | 598 | 1.028 | 293 | 327 | 20 | 18 | 446 | 97 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | 2 teams | — | 229 | 206 | 48 | 12 | 1 | 11 | 20 | 77 | 2 | 0 | 0 | 233 | 307 | 461 | 768 | 228 | 311 | 34 | 9 | 327 | 107 | — | — | — | — | — | — |
| 2016 | 23 | A+ RAW | 2 teams | — | 229 | 197 | 59 | 14 | 2 | 13 | 29 | 54 | 2 | 0 | 0 | 299 | 395 | 589 | 984 | 289 | 351 | 24 | 13 | 424 | 107 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Tennessee Smokies | — | 140 | 134 | 21 | 5 | 0 | 2 | 5 | 63 | 0 | 0 | 0 | 157 | 187 | 239 | 426 | 82 | 271 | 45 | 4 | 189 | 14 | — | — | — | — | — | — |
| 2017 | 24 | AA RAW | Tennessee Smokies | — | 140 | 132 | 26 | 6 | 0 | 3 | 7 | 51 | 0 | 0 | 0 | 197 | 237 | 311 | 548 | 114 | 291 | 36 | 5 | 244 | 14 | — | — | — | — | — | — |
| 2013 | 20 | ROK MLE | GCL Yankees2 | — | 104 | 97 | 19 | 7 | 0 | 0 | 6 | 27 | 0 | 1 | 0 | 196 | 245 | 268 | 513 | 72 | 269 | 26 | 6 | 228 | 40 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | GCL Yankees2 | — | 100 | 89 | 19 | 2 | 0 | 5 | 11 | 29 | 0 | 1 | 0 | 213 | 300 | 404 | 704 | 191 | 258 | 29 | 11 | 311 | 97 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | 2 teams | — | 229 | 205 | 48 | 12 | 1 | 11 | 20 | 77 | 2 | 0 | 0 | 234 | 307 | 463 | 770 | 229 | 310 | 34 | 9 | 327 | 107 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Tennessee Smokies | — | 140 | 134 | 21 | 5 | 0 | 2 | 5 | 63 | 0 | 0 | 0 | 157 | 187 | 239 | 426 | 82 | 265 | 45 | 4 | 189 | 14 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 573 | 525 | 107 | 26 | 1 | 18 | 42 | 196 | 2 | 2 | 0 | 204 | 265 | 360 | 625 | 156 | 283 | 34 | 7 | 272 | 71 | -20 | +0 | +0 | +2 | +12 | -0.5 | |
| / 162G | — | MLE | — | 650 | 596 | 120 | 29 | 1 | 20 | 48 | 222 | 2 | 2 | 0 | 201 | 263 | 354 | 617 | 153 | 280 | 34 | 7 | 272 | 71 | -23 | +0 | +0 | +2 | +14 | -0.6 | |
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.
2017 AATennessee Smokies · 140 PAwOBA .239 → .189 (−50)K% 36.4% → 45.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 36.43% | ÷0.981 | ×1.220 | — | — | 45.30% |
| BB% (unintentional) /PA | 5.00% | ÷0.976 | ×0.680 | — | ×0.998 | 3.48% |
| HBP% /PA | 0.00% | — | ×0.840 | — | ×0.998 | 0.00% |
| Singles /BIP | 20.99% | ÷1.016 | ×0.920 | ×1.010 | ×0.998 | 19.15% |
| Doubles /BIP | 7.41% | ÷1.000 | ×0.910 | ×1.010 | ×0.998 | 6.79% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.880 | ×1.010 | ×0.998 | 0.00% |
| Home runs /BIP | 3.70% | ÷0.882 | ×0.800 | — | ×0.998 | 3.35% |
Factors used: league row SL. Park (home-season share, regressed): HR 76, 1B 103, 2B 100, 3B 130, K 96, BB 95 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.
Result: wOBA .239 → .189; ISO .114 → .092; BABIP .291 → .265. 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 A+Tampa Yankees · 171 PAwOBA .371 → .306 (−65)K% 25.1% → 36.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.15% | ÷0.988 | ×1.420 | — | — | 36.13% |
| BB% (unintentional) /PA | 12.28% | ÷1.021 | ×0.750 | — | ×0.988 | 8.91% |
| HBP% /PA | 0.58% | — | ×0.930 | — | ×0.988 | 0.54% |
| Singles /BIP | 22.86% | ÷1.022 | ×0.920 | ×1.026 | ×0.988 | 20.86% |
| Doubles /BIP | 8.57% | ÷0.953 | ×0.960 | ×1.026 | ×0.988 | 8.76% |
| Triples /BIP | 0.95% | ÷1.032 | ×0.810 | ×1.026 | ×0.988 | 0.76% |
| Home runs /BIP | 6.67% | ÷0.862 | ×0.880 | — | ×0.988 | 6.72% |
Factors used: league row FSL. Park (home-season share, regressed): HR 72, 1B 104, 2B 91, 3B 106, K 98, BB 104 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.
Result: wOBA .371 → .306; ISO .216 → .191; BABIP .347 → .326. 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 ROKPulaski Yankees · 58 PAwOBA .538 → .388 (−150)K% 19.0% → 26.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.97% | ÷1.000 | ×1.420 | — | — | 26.93% |
| BB% (unintentional) /PA | 12.07% | ÷1.000 | ×0.640 | — | ×0.955 | 7.38% |
| HBP% /PA | 1.72% | — | ×0.740 | — | ×0.955 | 1.22% |
| Singles /BIP | 15.79% | ÷1.000 | ×0.840 | — | ×0.955 | 12.67% |
| Doubles /BIP | 13.16% | ÷1.000 | ×0.740 | — | ×0.955 | 9.30% |
| Triples /BIP | 2.63% | ÷1.000 | ×0.740 | — | ×0.955 | 1.86% |
| Home runs /BIP | 15.79% | ÷1.000 | ×0.800 | — | ×0.955 | 12.06% |
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 .538 → .388; ISO .510 → .376; BABIP .364 → .263. 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 ROKGCL Yankees2 · 100 PAwOBA .434 → .311 (−123)K% 20.0% → 28.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷1.000 | ×1.440 | — | — | 28.80% |
| BB% (unintentional) /PA | 18.00% | ÷1.000 | ×0.620 | — | ×0.965 | 10.77% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.965 | 0.00% |
| Singles /BIP | 24.19% | ÷1.000 | ×0.820 | ×1.050 | ×0.965 | 20.10% |
| Doubles /BIP | 4.84% | ÷1.000 | ×0.720 | ×1.050 | ×0.965 | 3.53% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.050 | ×0.965 | 0.00% |
| Home runs /BIP | 11.29% | ÷1.000 | ×0.780 | — | ×0.965 | 8.50% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .434 → .311; ISO .293 → .214; BABIP .327 → .258. 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).
2013 ROKGCL Yankees2 · 104 PAwOBA .309 → .228 (−81)K% 18.3% → 26.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.27% | ÷1.000 | ×1.440 | — | — | 26.31% |
| BB% (unintentional) /PA | 8.65% | ÷1.000 | ×0.620 | — | ×0.985 | 5.28% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.985 | 0.00% |
| Singles /BIP | 20.27% | ÷1.000 | ×0.820 | ×1.050 | ×0.985 | 17.19% |
| Doubles /BIP | 13.51% | ÷1.000 | ×0.720 | ×1.050 | ×0.985 | 10.06% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.050 | ×0.985 | 0.00% |
| 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 ×1.050.
Result: wOBA .309 → .228; ISO .108 → .077; BABIP .333 → .269. 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).