Hendrik Clementina
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 25 | AAA/AA2 orgs | 362 | .226/.284/.377 | 13 | 1 | 42 | — | .183/.231/.299 |
| 2023 | 26 | AAA/AA/INTL3 orgs | 185 | .241/.311/.386 | 4 | 1 | 78 | — | .230/.291/.334 |
| 2024 | 27 | INTLAguilas de Me… | 125 | .269/.387/.490 | 5 | 2 | 148 | — |
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.
| 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 | 17 | ROK | DSL Dodgers | — | 195 | 182 | 50 | 11 | 1 | 2 | 6 | 32 | 5 | 3 | 3 | 275 | 314 | 379 | 694 | 104 | 322 | 16 | 3 | 309 | 26 | — | — | — | — | — | — |
| 2015 | 18 | ROK | AZL Dodgers | — | 92 | 81 | 23 | 5 | 0 | 0 | 7 | 22 | 2 | 1 | 1 | 284 | 356 | 346 | 701 | 62 | 377 | 24 | 8 | 316 | 47 | — | — | — | — | — | — |
| 2016 | 19 | ROK | AZL Dodgers | — | 175 | 157 | 34 | 4 | 1 | 6 | 14 | 42 | 2 | 2 | 0 | 217 | 289 | 369 | 658 | 153 | 252 | 24 | 8 | 293 | 26 | — | — | — | — | — | — |
| 2017 | 20 | ROK | Billings Mustangs | — | 214 | 188 | 57 | 11 | 0 | 6 | 17 | 41 | 5 | 0 | 0 | 303 | 376 | 457 | 834 | 154 | 354 | 19 | 8 | 366 | 68 | — | — | — | — | — | — |
| 2018 | 21 | A | Dayton Dragons | — | 376 | 340 | 91 | 22 | 1 | 18 | 30 | 99 | 2 | 1 | 0 | 268 | 331 | 497 | 828 | 229 | 322 | 26 | 8 | 359 | 65 | — | — | — | — | — | — |
| 2019 | 22 | A+ | Daytona Tortugas | — | 365 | 338 | 84 | 13 | 0 | 14 | 19 | 92 | 5 | 1 | 0 | 249 | 298 | 411 | 710 | 163 | 298 | 25 | 5 | 313 | 45 | — | — | — | — | — | — |
| 2021 | 24 | AA | Mississippi Braves | — | 154 | 141 | 29 | 3 | 0 | 8 | 11 | 49 | 0 | 0 | 0 | 206 | 263 | 397 | 660 | 191 | 244 | 32 | 7 | 289 | 45 | — | — | — | — | — | — |
| 2022 | 25 | AAA | Gwinnett Stripers | — | 71 | 65 | 10 | 0 | 0 | 2 | 5 | 26 | 1 | 0 | 0 | 154 | 225 | 246 | 472 | 92 | 216 | 37 | 7 | 220 | -1 | — | — | — | — | — | — |
| 2022 | 25 | AA | Mississippi Braves | — | 291 | 267 | 65 | 9 | 1 | 11 | 18 | 98 | 3 | 1 | 0 | 243 | 299 | 408 | 707 | 165 | 335 | 34 | 6 | 311 | 53 | — | — | — | — | — | — |
| 2023 | 26 | AAA | Gwinnett Stripers | — | 43 | 41 | 13 | 3 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 317 | 333 | 463 | 797 | 146 | 414 | 28 | 2 | 344 | 89 | — | — | — | — | — | — |
| 2023 | 26 | AA | Mississippi Braves | — | 61 | 52 | 11 | 4 | 0 | 0 | 6 | 15 | 3 | 0 | 0 | 212 | 328 | 288 | 616 | 77 | 297 | 25 | 10 | 293 | 49 | — | — | — | — | — | — |
| 2023 | 26 | INTL | Curacao | — | 81 | 73 | 16 | 3 | 1 | 3 | 6 | 22 | 1 | 1 | 0 | 219 | 287 | 411 | 698 | 192 | 265 | 27 | 7 | 306 | 93 | — | — | — | — | — | — |
| 2024 | 27 | INTL | Aguilas de Mexicali | — | 125 | 104 | 28 | 6 | 1 | 5 | 13 | 33 | 7 | 2 | 0 | 269 | 387 | 490 | 877 | 221 | 343 | 26 | 10 | 387 | 148 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK MLE | DSL Dodgers | — | 195 | 185 | 35 | 7 | 1 | 1 | 4 | 39 | 5 | 3 | 3 | 189 | 227 | 254 | 481 | 65 | 227 | 20 | 2 | 206 | 26 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | AZL Dodgers | — | 92 | 84 | 19 | 4 | 0 | 0 | 4 | 32 | 2 | 1 | 1 | 226 | 278 | 274 | 552 | 48 | 322 | 35 | 4 | 238 | 47 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Dodgers | — | 175 | 162 | 26 | 3 | 1 | 4 | 9 | 61 | 2 | 2 | 0 | 160 | 214 | 265 | 479 | 105 | 208 | 35 | 5 | 207 | 26 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | Billings Mustangs | — | 214 | 195 | 44 | 8 | 0 | 4 | 10 | 59 | 5 | 0 | 0 | 226 | 281 | 328 | 609 | 103 | 289 | 28 | 5 | 269 | 68 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Dayton Dragons | — | 376 | 353 | 72 | 18 | 1 | 12 | 17 | 136 | 2 | 1 | 0 | 204 | 245 | 363 | 607 | 159 | 283 | 36 | 5 | 264 | 65 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Daytona Tortugas | — | 365 | 343 | 65 | 10 | 0 | 10 | 14 | 132 | 5 | 1 | 0 | 190 | 232 | 306 | 538 | 117 | 268 | 36 | 4 | 235 | 45 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Mississippi Braves | — | 154 | 145 | 25 | 2 | 0 | 7 | 7 | 60 | 0 | 0 | 0 | 172 | 211 | 331 | 542 | 159 | 223 | 39 | 5 | 235 | 45 | — | — | — | — | — | — |
| 2022 | 25 | AAA MLE | Gwinnett Stripers | — | 71 | 66 | 8 | 0 | 0 | 1 | 4 | 31 | 1 | 0 | 0 | 121 | 183 | 167 | 350 | 45 | 201 | 44 | 6 | 167 | -1 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | Mississippi Braves | — | 291 | 272 | 54 | 7 | 1 | 9 | 13 | 120 | 3 | 1 | 0 | 199 | 243 | 331 | 574 | 132 | 300 | 41 | 4 | 247 | 53 | — | — | — | — | — | — |
| 2023 | 26 | AAA MLE | Gwinnett Stripers | — | 43 | 41 | 12 | 3 | 0 | 1 | 1 | 14 | 0 | 0 | 0 | 293 | 310 | 439 | 749 | 146 | 393 | 33 | 2 | 300 | 89 | — | — | — | — | — | — |
| 2023 | 26 | AA MLE | Mississippi Braves | — | 61 | 54 | 10 | 4 | 0 | 0 | 4 | 18 | 3 | 0 | 0 | 185 | 279 | 259 | 538 | 74 | 267 | 30 | 7 | 240 | 49 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | DSL Dodgers | — | 195 | 185 | 35 | 7 | 1 | 1 | 4 | 39 | 5 | 3 | 3 | 189 | 227 | 254 | 481 | 65 | 233 | 20 | 2 | 206 | 26 | — | — | — | — | — | — |
| 2014 | 17 | ROK RAW | DSL Dodgers | — | 195 | 182 | 50 | 11 | 1 | 2 | 6 | 32 | 5 | 3 | 3 | 275 | 314 | 379 | 694 | 104 | 322 | 16 | 3 | 309 | 26 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | AZL Dodgers | — | 92 | 84 | 19 | 4 | 0 | 0 | 4 | 32 | 2 | 1 | 1 | 226 | 278 | 274 | 552 | 48 | 352 | 35 | 4 | 238 | 47 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | AZL Dodgers | — | 92 | 81 | 23 | 5 | 0 | 0 | 7 | 22 | 2 | 1 | 1 | 284 | 356 | 346 | 701 | 62 | 377 | 24 | 8 | 316 | 47 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Dodgers | — | 175 | 162 | 26 | 3 | 1 | 4 | 9 | 61 | 2 | 2 | 0 | 160 | 214 | 265 | 479 | 105 | 222 | 35 | 5 | 207 | 26 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | AZL Dodgers | — | 175 | 157 | 34 | 4 | 1 | 6 | 14 | 42 | 2 | 2 | 0 | 217 | 289 | 369 | 658 | 153 | 252 | 24 | 8 | 293 | 26 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | Billings Mustangs | — | 214 | 195 | 44 | 8 | 0 | 4 | 10 | 59 | 5 | 0 | 0 | 226 | 281 | 328 | 609 | 103 | 296 | 28 | 5 | 269 | 68 | — | — | — | — | — | — |
| 2017 | 20 | ROK RAW | Billings Mustangs | — | 214 | 188 | 57 | 11 | 0 | 6 | 17 | 41 | 5 | 0 | 0 | 303 | 376 | 457 | 834 | 154 | 354 | 19 | 8 | 366 | 68 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Dayton Dragons | — | 376 | 353 | 72 | 18 | 1 | 12 | 17 | 136 | 2 | 1 | 0 | 204 | 245 | 363 | 607 | 159 | 287 | 36 | 5 | 264 | 65 | — | — | — | — | — | — |
| 2018 | 21 | A RAW | Dayton Dragons | — | 376 | 340 | 91 | 22 | 1 | 18 | 30 | 99 | 2 | 1 | 0 | 268 | 331 | 497 | 828 | 229 | 322 | 26 | 8 | 359 | 65 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Daytona Tortugas | — | 365 | 343 | 65 | 10 | 0 | 10 | 14 | 132 | 5 | 1 | 0 | 190 | 232 | 306 | 538 | 117 | 270 | 36 | 4 | 235 | 45 | — | — | — | — | — | — |
| 2019 | 22 | A+ RAW | Daytona Tortugas | — | 365 | 338 | 84 | 13 | 0 | 14 | 19 | 92 | 5 | 1 | 0 | 249 | 298 | 411 | 710 | 163 | 298 | 25 | 5 | 313 | 45 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Mississippi Braves | — | 154 | 145 | 25 | 2 | 0 | 7 | 7 | 60 | 0 | 0 | 0 | 172 | 211 | 331 | 542 | 159 | 225 | 39 | 5 | 235 | 45 | — | — | — | — | — | — |
| 2021 | 24 | AA RAW | Mississippi Braves | — | 154 | 141 | 29 | 3 | 0 | 8 | 11 | 49 | 0 | 0 | 0 | 206 | 263 | 397 | 660 | 191 | 244 | 32 | 7 | 289 | 45 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | 2 teams | — | 362 | 339 | 62 | 7 | 1 | 10 | 16 | 151 | 4 | 1 | 0 | 183 | 228 | 298 | 526 | 115 | 287 | 42 | 4 | 231 | 43 | — | — | — | — | — | — |
| 2022 | 25 | AA RAW | 2 teams | — | 362 | 332 | 75 | 9 | 1 | 13 | 23 | 124 | 4 | 1 | 0 | 226 | 284 | 377 | 661 | 151 | 313 | 34 | 6 | 294 | 43 | — | — | — | — | — | — |
| 2023 | 26 | INTL MLE | 3 teams | — | 185 | 170 | 38 | 11 | 0 | 1 | 9 | 57 | 4 | 1 | 0 | 224 | 279 | 306 | 585 | 82 | 325 | 31 | 5 | 265 | 65 | — | — | — | — | — | — |
| 2023 | 26 | INTL RAW | 3 teams | — | 185 | 166 | 40 | 10 | 1 | 4 | 13 | 49 | 4 | 1 | 0 | 241 | 311 | 386 | 697 | 145 | 313 | 26 | 7 | 310 | 65 | — | — | — | — | — | — |
| 2024 | 27 | INTL MLE | Aguilas de Mexicali | — | 125 | 104 | 28 | 6 | 1 | 5 | 13 | 33 | 7 | 2 | 0 | 269 | 387 | 490 | 877 | 221 | 343 | 26 | 10 | — | — | — | — | — | — | — | — |
| 2024 | 27 | INTL RAW | Aguilas de Mexicali | — | 125 | 104 | 28 | 6 | 1 | 5 | 13 | 33 | 7 | 2 | 0 | 269 | 387 | 490 | 877 | 221 | 343 | 26 | 10 | 387 | 148 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | DSL Dodgers | — | 195 | 184 | 35 | 7 | 1 | 1 | 4 | 39 | 5 | 3 | 3 | 190 | 227 | 255 | 482 | 65 | 227 | 20 | 2 | 206 | 26 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | AZL Dodgers | — | 92 | 86 | 19 | 4 | 0 | 0 | 4 | 32 | 2 | 1 | 1 | 221 | 278 | 267 | 545 | 47 | 322 | 35 | 4 | 238 | 47 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Dodgers | — | 175 | 162 | 26 | 3 | 1 | 4 | 9 | 61 | 2 | 2 | 0 | 160 | 214 | 265 | 479 | 105 | 208 | 35 | 5 | 207 | 26 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | Billings Mustangs | — | 214 | 197 | 44 | 8 | 0 | 4 | 10 | 59 | 5 | 0 | 0 | 223 | 281 | 325 | 606 | 102 | 289 | 28 | 5 | 269 | 68 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Dayton Dragons | — | 376 | 354 | 72 | 18 | 1 | 12 | 17 | 136 | 2 | 1 | 0 | 203 | 245 | 362 | 606 | 158 | 283 | 36 | 5 | 264 | 65 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Daytona Tortugas | — | 365 | 343 | 65 | 10 | 0 | 10 | 14 | 132 | 5 | 1 | 0 | 190 | 232 | 306 | 538 | 117 | 268 | 36 | 4 | 235 | 45 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Mississippi Braves | — | 154 | 146 | 25 | 2 | 0 | 7 | 7 | 60 | 0 | 0 | 0 | 171 | 211 | 329 | 539 | 158 | 223 | 39 | 5 | 235 | 45 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | 2 teams | — | 362 | 339 | 62 | 7 | 1 | 10 | 16 | 151 | 4 | 1 | 0 | 183 | 228 | 298 | 526 | 115 | 281 | 42 | 4 | 231 | 43 | — | — | — | — | — | — |
| 2023 | 26 | INTL MLE | 3 teams | — | 185 | 170 | 38 | 11 | 0 | 1 | 9 | 57 | 4 | 1 | 0 | 224 | 279 | 306 | 585 | 82 | 319 | 31 | 5 | 265 | 65 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2243 | 2080 | 414 | 76 | 5 | 54 | 103 | 760 | 36 | 12 | 4 | 199 | 249 | 318 | 567 | 119 | 279 | 34 | 5 | 227 | 40 | -160 | +1 | +0 | +40 | +49 | -7.2 | |
| / 162G | — | MLE | — | 650 | 603 | 120 | 22 | 1 | 16 | 30 | 220 | 10 | 3 | 1 | 199 | 249 | 318 | 567 | 119 | 278 | 34 | 5 | 227 | 40 | -46 | +0 | +0 | +12 | +14 | -2.1 | |
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.
2023 AAMississippi Braves · 61 PAwOBA .286 → .240 (−46)K% 24.6% → 29.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.59% | ÷1.034 | ×1.220 | — | — | 29.01% |
| BB% (unintentional) /PA | 9.84% | ÷0.943 | ×0.680 | — | ×0.988 | 7.01% |
| HBP% /PA | 4.92% | — | ×0.840 | — | ×0.988 | 4.08% |
| Singles /BIP | 18.92% | ÷1.016 | ×0.920 | — | ×0.988 | 16.93% |
| Doubles /BIP | 10.81% | ÷0.997 | ×0.910 | — | ×0.988 | 9.75% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.880 | — | ×0.988 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.793 | ×0.800 | — | ×0.988 | 0.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 59, 1B 103, 2B 99, 3B 80, K 107, BB 89 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).
Result: wOBA .286 → .240; ISO .077 → .069; BABIP .297 → .267. 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).
2023 AAAGwinnett Stripers · 43 PAwOBA .342 → .300 (−41)K% 27.9% → 33.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.91% | ÷1.005 | ×1.200 | — | — | 33.33% |
| BB% (unintentional) /PA | 2.33% | ÷0.997 | ×0.690 | — | ×1.018 | 1.64% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.018 | 0.00% |
| Singles /BIP | 31.03% | ÷0.968 | ×0.930 | — | ×1.018 | 30.34% |
| Doubles /BIP | 10.34% | ÷0.933 | ×0.830 | — | ×1.018 | 9.37% |
| Triples /BIP | 0.00% | ÷0.999 | ×0.970 | — | ×1.018 | 0.00% |
| Home runs /BIP | 3.45% | ÷0.984 | ×0.700 | — | ×1.018 | 2.50% |
Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 94, 2B 87, 3B 100, K 101, BB 99 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).
Result: wOBA .342 → .300; ISO .146 → .115; BABIP .414 → .393. 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).
2022 AAMississippi Braves · 291 PAwOBA .306 → .247 (−59)K% 33.7% → 41.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.68% | ÷1.000 | ×1.220 | — | — | 41.09% |
| BB% (unintentional) /PA | 6.19% | ÷0.985 | ×0.680 | — | ×0.998 | 4.26% |
| HBP% /PA | 1.03% | — | ×0.840 | — | ×0.998 | 0.86% |
| Singles /BIP | 26.04% | ÷1.020 | ×0.920 | ×1.008 | ×0.998 | 23.62% |
| Doubles /BIP | 5.33% | ÷1.032 | ×0.910 | ×1.008 | ×0.998 | 4.73% |
| Triples /BIP | 0.59% | ÷0.900 | ×0.880 | ×1.008 | ×0.998 | 0.58% |
| Home runs /BIP | 6.51% | ÷0.927 | ×0.800 | — | ×0.998 | 5.61% |
Factors used: league row SL. Park (home-season share, regressed): HR 85, 1B 104, 2B 106, 3B 80, K 100, BB 97 — 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 ×1.008.
Result: wOBA .306 → .247; ISO .165 → .133; BABIP .335 → .300. 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).
2022 AAAGwinnett Stripers · 71 PAwOBA .214 → .167 (−47)K% 36.6% → 43.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 36.62% | ÷1.002 | ×1.200 | — | — | 43.87% |
| BB% (unintentional) /PA | 7.04% | ÷0.998 | ×0.690 | — | ×1.033 | 5.03% |
| HBP% /PA | 1.41% | — | ×0.940 | — | ×1.033 | 1.37% |
| Singles /BIP | 20.51% | ÷1.018 | ×0.930 | — | ×1.033 | 19.37% |
| Doubles /BIP | 0.00% | ÷0.966 | ×0.830 | — | ×1.033 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | — | ×1.033 | 0.00% |
| Home runs /BIP | 5.13% | ÷0.981 | ×0.700 | — | ×1.033 | 3.78% |
Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 104, 2B 93, 3B 130, K 100, BB 100 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).
Result: wOBA .214 → .167; ISO .092 → .062; BABIP .216 → .201. 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).
2021 AAMississippi Braves · 154 PAwOBA .284 → .235 (−49)K% 31.8% → 38.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.82% | ÷0.998 | ×1.220 | — | — | 38.90% |
| BB% (unintentional) /PA | 7.14% | ÷1.106 | ×0.690 | — | ×1.012 | 4.51% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×1.012 | 0.00% |
| Singles /BIP | 19.57% | ÷1.023 | ×0.940 | ×0.998 | ×1.012 | 18.17% |
| Doubles /BIP | 3.26% | ÷0.999 | ×0.870 | ×0.998 | ×1.012 | 2.87% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.920 | ×0.998 | ×1.012 | 0.00% |
| Home runs /BIP | 8.70% | ÷0.861 | ×0.780 | — | ×1.012 | 7.97% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 105, 2B 100, 3B 80, K 100, BB 121 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.
Result: wOBA .284 → .235; ISO .191 → .166; BABIP .244 → .223. 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).
2019 A+Daytona Tortugas · 365 PAwOBA .307 → .235 (−72)K% 25.2% → 36.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.21% | ÷0.985 | ×1.420 | — | — | 36.34% |
| BB% (unintentional) /PA | 5.21% | ÷1.016 | ×0.750 | — | ×1.012 | 3.89% |
| HBP% /PA | 1.37% | — | ×0.930 | — | ×1.012 | 1.29% |
| Singles /BIP | 23.17% | ÷0.965 | ×0.920 | ×0.950 | ×1.012 | 21.23% |
| Doubles /BIP | 5.28% | ÷1.042 | ×0.960 | ×0.950 | ×1.012 | 4.68% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | ×0.950 | ×1.012 | 0.00% |
| Home runs /BIP | 5.69% | ÷1.101 | ×0.880 | — | ×1.012 | 4.60% |
Factors used: league row FSL. Park (home-season share, regressed): HR 120, 1B 93, 2B 108, 3B 130, K 97, BB 103 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .307 → .235; ISO .163 → .117; BABIP .298 → .268. 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 ADayton Dragons · 376 PAwOBA .350 → .264 (−86)K% 26.3% → 36.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.33% | ÷0.987 | ×1.360 | — | — | 36.27% |
| BB% (unintentional) /PA | 7.18% | ÷1.097 | ×0.690 | — | ×1.015 | 4.58% |
| HBP% /PA | 0.53% | — | ×0.780 | — | ×1.015 | 0.42% |
| Singles /BIP | 20.75% | ÷1.019 | ×0.920 | ×0.987 | ×1.015 | 18.77% |
| Doubles /BIP | 9.13% | ÷0.942 | ×0.830 | ×0.987 | ×1.015 | 8.05% |
| Triples /BIP | 0.41% | ÷0.900 | ×0.910 | ×0.987 | ×1.015 | 0.42% |
| Home runs /BIP | 7.47% | ÷1.103 | ×0.800 | — | ×1.015 | 5.50% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 104, 2B 88, 3B 80, K 97, BB 119 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.
Result: wOBA .350 → .264; ISO .229 → .165; BABIP .322 → .283. 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 ROKBillings Mustangs · 214 PAwOBA .361 → .269 (−93)K% 19.2% → 27.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.16% | ÷1.000 | ×1.440 | — | — | 27.59% |
| BB% (unintentional) /PA | 7.94% | ÷1.000 | ×0.610 | — | ×0.995 | 4.82% |
| HBP% /PA | 2.34% | — | ×0.720 | — | ×0.995 | 1.67% |
| Singles /BIP | 27.21% | ÷1.000 | ×0.820 | ×1.037 | ×0.995 | 23.03% |
| Doubles /BIP | 7.48% | ÷1.000 | ×0.720 | ×1.037 | ×0.995 | 5.56% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.037 | ×0.995 | 0.00% |
| Home runs /BIP | 4.08% | ÷1.000 | ×0.750 | — | ×0.995 | 3.05% |
Factors used: league row PIO. 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 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.
Result: wOBA .361 → .269; ISO .154 → .110; BABIP .354 → .289. 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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .