Chris Hess
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 22 | A/ROK2 orgs | 121 | .189/.277/.292 | 0 | 0 | 11 | — | .137/.202/.219 |
| 2018 | 23 | ATB | 463 | .233/.319/.371 | 9 | 2 | 43 | — | .179/.249/.289 |
| 2019 | 24 | A+NYY | 51 | .196/.275/.239 | 0 | 0 | 8 | — | .149/.216/.191 |
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) | |||||||||||||||||||||||||||||||
| 2017 | 22 | A | Charleston RiverDogs | — | 62 | 57 | 8 | 2 | 2 | 0 | 3 | 19 | 2 | 0 | 0 | 140 | 210 | 246 | 455 | 105 | 211 | 31 | 5 | 209 | -9 | — | — | — | — | — | — |
| 2017 | 22 | ROK | GCL Yankees West | — | 59 | 49 | 12 | 3 | 1 | 0 | 7 | 9 | 1 | 0 | 1 | 245 | 351 | 347 | 698 | 102 | 293 | 15 | 12 | 311 | 31 | — | — | — | — | — | — |
| 2018 | 23 | A | Charleston RiverDogs | — | 463 | 407 | 95 | 21 | 4 | 9 | 31 | 116 | 20 | 2 | 3 | 233 | 319 | 371 | 690 | 138 | 300 | 25 | 7 | 310 | 43 | — | — | — | — | — | — |
| 2019 | 24 | A+ | Tampa Tarpons | — | 51 | 46 | 9 | 2 | 0 | 0 | 3 | 14 | 2 | 0 | 1 | 196 | 275 | 239 | 514 | 43 | 281 | 27 | 6 | 244 | 8 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 22 | A MLE | Charleston RiverDogs | — | 62 | 58 | 6 | 1 | 2 | 0 | 2 | 27 | 2 | 0 | 0 | 103 | 161 | 190 | 351 | 86 | 196 | 44 | 3 | 155 | -9 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | GCL Yankees West | — | 59 | 52 | 9 | 2 | 1 | 0 | 4 | 13 | 1 | 0 | 1 | 173 | 246 | 250 | 496 | 77 | 211 | 22 | 7 | 214 | 31 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Charleston RiverDogs | — | 463 | 419 | 75 | 16 | 3 | 8 | 19 | 157 | 20 | 2 | 3 | 179 | 249 | 289 | 538 | 110 | 247 | 34 | 4 | 232 | 43 | — | — | — | — | — | — |
| 2019 | 24 | A+ MLE | Tampa Tarpons | — | 51 | 47 | 7 | 2 | 0 | 0 | 2 | 20 | 2 | 0 | 1 | 149 | 216 | 191 | 407 | 43 | 245 | 39 | 4 | 180 | 8 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | 2 teams | — | 121 | 110 | 14 | 3 | 2 | 0 | 6 | 40 | 3 | 0 | 1 | 127 | 193 | 191 | 384 | 64 | 197 | 33 | 5 | 184 | 11 | — | — | — | — | — | — |
| 2017 | 22 | A RAW | 2 teams | — | 121 | 106 | 20 | 5 | 3 | 0 | 10 | 28 | 3 | 0 | 1 | 189 | 277 | 292 | 570 | 104 | 253 | 23 | 8 | 259 | 11 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Charleston RiverDogs | — | 463 | 419 | 75 | 16 | 3 | 8 | 19 | 157 | 20 | 2 | 3 | 179 | 249 | 289 | 538 | 110 | 259 | 34 | 4 | 232 | 43 | — | — | — | — | — | — |
| 2018 | 23 | A RAW | Charleston RiverDogs | — | 463 | 407 | 95 | 21 | 4 | 9 | 31 | 116 | 20 | 2 | 3 | 233 | 319 | 371 | 690 | 138 | 300 | 25 | 7 | 310 | 43 | — | — | — | — | — | — |
| 2019 | 24 | A+ MLE | Tampa Tarpons | — | 51 | 47 | 7 | 2 | 0 | 0 | 2 | 20 | 2 | 0 | 1 | 149 | 216 | 191 | 407 | 43 | 259 | 39 | 4 | 180 | 8 | — | — | — | — | — | — |
| 2019 | 24 | A+ RAW | Tampa Tarpons | — | 51 | 46 | 9 | 2 | 0 | 0 | 3 | 14 | 2 | 0 | 1 | 196 | 275 | 239 | 514 | 43 | 281 | 27 | 6 | 244 | 8 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | 2 teams | — | 121 | 111 | 14 | 3 | 2 | 0 | 6 | 40 | 3 | 0 | 1 | 126 | 193 | 189 | 382 | 63 | 203 | 33 | 5 | 184 | 11 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Charleston RiverDogs | — | 463 | 421 | 75 | 16 | 3 | 8 | 19 | 157 | 20 | 2 | 3 | 178 | 249 | 287 | 536 | 109 | 247 | 34 | 4 | 232 | 43 | — | — | — | — | — | — |
| 2019 | 24 | A+ MLE | Tampa Tarpons | — | 51 | 47 | 7 | 2 | 0 | 0 | 2 | 20 | 2 | 0 | 1 | 149 | 216 | 191 | 407 | 43 | 245 | 39 | 4 | 180 | 8 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 635 | 576 | 96 | 21 | 5 | 8 | 27 | 217 | 25 | 2 | 5 | 167 | 236 | 262 | 498 | 95 | 246 | 34 | 4 | 219 | 34 | -50 | -2 | +0 | +2 | +14 | -3.6 | |
| / 162G | — | MLE | — | 650 | 590 | 97 | 21 | 5 | 8 | 28 | 222 | 26 | 2 | 5 | 164 | 235 | 258 | 492 | 93 | 243 | 34 | 4 | 219 | 34 | -51 | -2 | +0 | +2 | +14 | -3.7 | |
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 A+Tampa Tarpons · 51 PAwOBA .239 → .180 (−58)K% 27.5% → 39.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.45% | ÷0.989 | ×1.420 | — | — | 39.41% |
| BB% (unintentional) /PA | 5.88% | ÷1.055 | ×0.750 | — | ×0.978 | 4.09% |
| HBP% /PA | 3.92% | — | ×0.930 | — | ×0.978 | 3.57% |
| Singles /BIP | 21.88% | ÷1.072 | ×0.920 | — | ×0.978 | 18.35% |
| Doubles /BIP | 6.25% | ÷0.954 | ×0.960 | — | ×0.978 | 6.15% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | — | ×0.978 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.960 | ×0.880 | — | ×0.978 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 92, 1B 114, 2B 91, 3B 80, K 98, BB 111 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).
Result: wOBA .239 → .180; ISO .043 → .036; BABIP .281 → .245. 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 ACharleston RiverDogs · 463 PAwOBA .306 → .232 (−73)K% 25.1% → 33.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.05% | ÷0.991 | ×1.340 | — | — | 33.88% |
| BB% (unintentional) /PA | 6.70% | ÷1.092 | ×0.660 | — | ×0.980 | 3.97% |
| HBP% /PA | 4.32% | — | ×0.770 | — | ×0.980 | 3.26% |
| Singles /BIP | 20.96% | ÷1.020 | ×0.920 | ×0.950 | ×0.980 | 17.60% |
| Doubles /BIP | 7.22% | ÷0.961 | ×0.820 | ×0.950 | ×0.980 | 5.73% |
| Triples /BIP | 1.37% | ÷1.150 | ×0.940 | ×0.950 | ×0.980 | 1.05% |
| Home runs /BIP | 3.09% | ÷0.811 | ×0.820 | — | ×0.980 | 3.06% |
Factors used: league row SAL. Park (home-season share, regressed): HR 62, 1B 104, 2B 92, 3B 130, K 98, BB 118 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .306 → .232; ISO .138 → .114; BABIP .300 → .247. 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 ACharleston RiverDogs · 62 PAwOBA .204 → .155 (−49)K% 30.6% → 42.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.65% | ÷0.958 | ×1.340 | — | — | 42.84% |
| BB% (unintentional) /PA | 4.84% | ÷1.051 | ×0.660 | — | ×0.990 | 3.01% |
| HBP% /PA | 3.23% | — | ×0.770 | — | ×0.990 | 2.46% |
| Singles /BIP | 10.53% | ÷0.978 | ×0.920 | ×1.007 | ×0.990 | 9.87% |
| Doubles /BIP | 5.26% | ÷1.010 | ×0.820 | ×1.007 | ×0.990 | 4.26% |
| Triples /BIP | 5.26% | ÷0.900 | ×0.940 | ×1.007 | ×0.990 | 5.48% |
| Home runs /BIP | 0.00% | ÷0.945 | ×0.820 | — | ×0.990 | 0.00% |
Factors used: league row SAL. Park (home-season share, regressed): HR 89, 1B 96, 2B 102, 3B 80, K 92, BB 110 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.
Result: wOBA .204 → .155; ISO .105 → .086; BABIP .211 → .196. 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 West · 59 PAwOBA .309 → .214 (−94)K% 15.3% → 22.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.25% | ÷1.000 | ×1.440 | — | — | 21.97% |
| BB% (unintentional) /PA | 11.86% | ÷1.000 | ×0.620 | — | ×0.965 | 7.10% |
| HBP% /PA | 1.69% | — | ×0.720 | — | ×0.965 | 1.18% |
| Singles /BIP | 20.00% | ÷1.000 | ×0.820 | ×0.950 | ×0.965 | 15.03% |
| Doubles /BIP | 7.50% | ÷1.000 | ×0.720 | ×0.950 | ×0.965 | 4.95% |
| Triples /BIP | 2.50% | ÷1.000 | ×0.720 | ×0.950 | ×0.965 | 1.65% |
| 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .309 → .214; ISO .102 → .069; BABIP .293 → .211. 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).