Carlos Tatis
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 19 | ROKDSL Yankees 2 | 191 | .273/.342/.407 | 1 | 1 | 29 | — | .164/.221/.226 |
| 2017 | 20 | ROKGCL Yankees W… | 285 | .289/.368/.451 | 9 | 6 | 62 | — | .215/.274/.336 |
| 2018 | 21 | ROKPulaski Yanke… | 205 | .220/.289/.269 | 1 | 1 | 9 | — | .161/.211/.198 |
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 | 18 | ROK | DSL Yankees 2 | — | 83 | 71 | 21 | 5 | 0 | 0 | 8 | 16 | 2 | 5 | 0 | 296 | 383 | 366 | 749 | 70 | 368 | 19 | 10 | 337 | 43 | — | — | — | — | — | — |
| 2016 | 19 | ROK | DSL Yankees 2 | — | 191 | 172 | 47 | 12 | 4 | 1 | 16 | 31 | 2 | 1 | 1 | 273 | 342 | 407 | 749 | 134 | 326 | 16 | 8 | 334 | 29 | — | — | — | — | — | — |
| 2017 | 20 | ROK | GCL Yankees West | — | 285 | 246 | 71 | 11 | 1 | 9 | 25 | 49 | 6 | 6 | 3 | 289 | 368 | 451 | 819 | 163 | 316 | 17 | 9 | 356 | 62 | — | — | — | — | — | — |
| 2018 | 21 | ROK | Pulaski Yankees | — | 205 | 186 | 41 | 6 | 0 | 1 | 15 | 43 | 3 | 1 | 2 | 220 | 289 | 269 | 558 | 48 | 280 | 21 | 7 | 260 | 9 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK MLE | DSL Yankees 2 | — | 83 | 73 | 14 | 3 | 0 | 0 | 6 | 20 | 2 | 5 | 0 | 192 | 272 | 233 | 504 | 41 | 249 | 24 | 7 | 232 | 43 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | DSL Yankees 2 | — | 191 | 177 | 29 | 7 | 2 | 0 | 11 | 38 | 2 | 1 | 1 | 164 | 221 | 226 | 447 | 62 | 212 | 20 | 6 | 211 | 29 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | GCL Yankees West | — | 285 | 256 | 55 | 8 | 1 | 7 | 15 | 71 | 6 | 6 | 3 | 215 | 274 | 336 | 610 | 121 | 240 | 25 | 5 | 260 | 62 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | Pulaski Yankees | — | 205 | 192 | 31 | 4 | 0 | 1 | 9 | 61 | 3 | 1 | 2 | 161 | 211 | 198 | 409 | 36 | 224 | 30 | 4 | 182 | 9 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Yankees 2 | — | 83 | 73 | 14 | 3 | 0 | 0 | 6 | 20 | 2 | 5 | 0 | 192 | 272 | 233 | 504 | 41 | 255 | 24 | 7 | 232 | 43 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | DSL Yankees 2 | — | 83 | 71 | 21 | 5 | 0 | 0 | 8 | 16 | 2 | 5 | 0 | 296 | 383 | 366 | 749 | 70 | 368 | 19 | 10 | 337 | 43 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | DSL Yankees 2 | — | 191 | 177 | 29 | 7 | 2 | 0 | 11 | 38 | 2 | 1 | 1 | 164 | 221 | 226 | 447 | 62 | 207 | 20 | 6 | 211 | 29 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | DSL Yankees 2 | — | 191 | 172 | 47 | 12 | 4 | 1 | 16 | 31 | 2 | 1 | 1 | 273 | 342 | 407 | 749 | 134 | 326 | 16 | 8 | 334 | 29 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | GCL Yankees West | — | 285 | 256 | 55 | 8 | 1 | 7 | 15 | 71 | 6 | 6 | 3 | 215 | 274 | 336 | 610 | 121 | 258 | 25 | 5 | 260 | 62 | — | — | — | — | — | — |
| 2017 | 20 | ROK RAW | GCL Yankees West | — | 285 | 246 | 71 | 11 | 1 | 9 | 25 | 49 | 6 | 6 | 3 | 289 | 368 | 451 | 819 | 163 | 316 | 17 | 9 | 356 | 62 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | Pulaski Yankees | — | 205 | 192 | 31 | 4 | 0 | 1 | 9 | 61 | 3 | 1 | 2 | 161 | 211 | 198 | 409 | 36 | 229 | 30 | 4 | 182 | 9 | — | — | — | — | — | — |
| 2018 | 21 | ROK RAW | Pulaski Yankees | — | 205 | 186 | 41 | 6 | 0 | 1 | 15 | 43 | 3 | 1 | 2 | 220 | 289 | 269 | 558 | 48 | 280 | 21 | 7 | 260 | 9 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Yankees 2 | — | 83 | 75 | 14 | 3 | 0 | 0 | 6 | 20 | 2 | 5 | 0 | 187 | 272 | 227 | 498 | 40 | 249 | 24 | 7 | 232 | 43 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | DSL Yankees 2 | — | 191 | 176 | 29 | 7 | 2 | 0 | 11 | 38 | 2 | 1 | 1 | 165 | 221 | 227 | 448 | 62 | 212 | 20 | 6 | 211 | 29 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | GCL Yankees West | — | 285 | 262 | 55 | 8 | 1 | 7 | 15 | 71 | 6 | 6 | 3 | 210 | 274 | 328 | 603 | 118 | 240 | 25 | 5 | 260 | 62 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | Pulaski Yankees | — | 205 | 191 | 31 | 4 | 0 | 1 | 9 | 61 | 3 | 1 | 2 | 162 | 211 | 199 | 410 | 37 | 224 | 30 | 4 | 182 | 9 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 764 | 698 | 129 | 22 | 3 | 8 | 41 | 190 | 13 | 13 | 6 | 185 | 243 | 259 | 503 | 74 | 236 | 25 | 5 | 224 | 38 | -57 | +0 | +0 | -14 | +17 | -5.5 | |
| / 162G | — | MLE | — | 650 | 594 | 111 | 19 | 3 | 7 | 35 | 162 | 11 | 11 | 5 | 187 | 245 | 264 | 510 | 77 | 239 | 25 | 5 | 224 | 38 | -48 | +0 | +0 | -12 | +14 | -4.7 | |
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.
2018 ROKPulaski Yankees · 205 PAwOBA .254 → .182 (−73)K% 21.0% → 29.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.98% | ÷1.000 | ×1.420 | — | — | 29.79% |
| BB% (unintentional) /PA | 7.32% | ÷1.000 | ×0.640 | — | ×0.975 | 4.57% |
| HBP% /PA | 1.46% | — | ×0.740 | — | ×0.975 | 1.06% |
| Singles /BIP | 23.78% | ÷1.000 | ×0.840 | ×0.997 | ×0.975 | 19.41% |
| Doubles /BIP | 4.20% | ÷1.000 | ×0.740 | ×0.997 | ×0.975 | 3.02% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.740 | ×0.997 | ×0.975 | 0.00% |
| Home runs /BIP | 0.70% | ÷1.000 | ×0.800 | — | ×0.975 | 0.55% |
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 ×0.997.
Result: wOBA .254 → .182; ISO .048 → .033; BABIP .280 → .224. 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 · 285 PAwOBA .357 → .260 (−97)K% 17.2% → 24.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.19% | ÷1.000 | ×1.440 | — | — | 24.76% |
| BB% (unintentional) /PA | 8.77% | ÷1.000 | ×0.620 | — | ×0.985 | 5.36% |
| HBP% /PA | 2.11% | — | ×0.720 | — | ×0.985 | 1.49% |
| Singles /BIP | 25.38% | ÷1.000 | ×0.820 | ×0.974 | ×0.985 | 19.96% |
| Doubles /BIP | 5.58% | ÷1.000 | ×0.720 | ×0.974 | ×0.985 | 3.86% |
| Triples /BIP | 0.51% | ÷1.000 | ×0.720 | ×0.974 | ×0.985 | 0.35% |
| Home runs /BIP | 4.57% | ÷1.000 | ×0.780 | — | ×0.985 | 3.51% |
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 ×0.974.
Result: wOBA .357 → .260; ISO .163 → .120; BABIP .316 → .240. 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 2 · 191 PAwOBA .327 → .211 (−115)K% 16.2% → 19.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.23% | ÷1.000 | ×1.220 | — | — | 19.80% |
| BB% (unintentional) /PA | 8.38% | ÷1.000 | ×0.700 | — | ×0.985 | 5.78% |
| HBP% /PA | 1.05% | — | ×0.700 | — | ×0.985 | 0.72% |
| Singles /BIP | 21.28% | ÷1.000 | ×0.680 | ×1.016 | ×0.985 | 14.48% |
| Doubles /BIP | 8.51% | ÷1.000 | ×0.600 | ×1.016 | ×0.985 | 5.11% |
| Triples /BIP | 2.84% | ÷1.000 | ×0.600 | ×1.016 | ×0.985 | 1.70% |
| Home runs /BIP | 0.71% | ÷1.000 | ×0.470 | — | ×0.985 | 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 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 ×1.016.
Result: wOBA .327 → .211; ISO .134 → .078; BABIP .326 → .212. 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 2 · 83 PAwOBA .337 → .232 (−104)K% 19.3% → 23.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.28% | ÷1.000 | ×1.220 | — | — | 23.52% |
| BB% (unintentional) /PA | 9.64% | ÷1.000 | ×0.700 | — | ×0.995 | 6.71% |
| HBP% /PA | 2.41% | — | ×0.700 | — | ×0.995 | 1.68% |
| Singles /BIP | 29.09% | ÷1.000 | ×0.680 | ×1.027 | ×0.995 | 20.21% |
| Doubles /BIP | 9.09% | ÷1.000 | ×0.600 | ×1.027 | ×0.995 | 5.57% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×1.027 | ×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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.
Result: wOBA .337 → .232; ISO .070 → .044; BABIP .368 → .249. 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).