Jon Kemmer
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 27 | AAAWSH | 463 | .244/.328/.451 | 17 | 5 | 71 | — | .195/.258/.362 |
| 2019 | 28 | AAA/INTL2 orgs | 479 | .297/.395/.552 | 27 | 2 | 93 | — | .223/.312/.418 |
| 2020 | 29 | INTLAguilas Cibae… | 15 | .250/.400/.333 | 0 | 0 | 122 | — |
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 | 23 | A+ | Lancaster JetHawks | — | 159 | 153 | 45 | 10 | 1 | 12 | 4 | 33 | 1 | 0 | 1 | 294 | 316 | 608 | 924 | 314 | 303 | 21 | 3 | 395 | 84 | — | — | — | — | — | — |
| 2014 | 23 | A | Quad Cities River Bandits | — | 204 | 180 | 52 | 15 | 1 | 4 | 20 | 39 | 3 | 3 | 1 | 289 | 369 | 450 | 819 | 161 | 350 | 19 | 10 | 364 | 74 | — | — | — | — | — | — |
| 2015 | 24 | AA | Corpus Christi Hooks | — | 425 | 364 | 119 | 28 | 4 | 18 | 45 | 89 | 12 | 9 | 1 | 327 | 418 | 574 | 992 | 247 | 387 | 21 | 11 | 429 | 120 | — | — | — | — | — | — |
| 2016 | 25 | AAA | Fresno Grizzlies | — | 452 | 407 | 108 | 24 | 4 | 18 | 38 | 128 | 5 | 8 | 10 | 265 | 336 | 477 | 812 | 211 | 342 | 28 | 8 | 356 | 64 | — | — | — | — | — | — |
| 2017 | 26 | AAA | Fresno Grizzlies | — | 358 | 304 | 91 | 17 | 3 | 16 | 44 | 95 | 8 | 6 | 2 | 299 | 402 | 533 | 935 | 234 | 385 | 27 | 12 | 409 | 101 | — | — | — | — | — | — |
| 2018 | 27 | AAA | Rochester Red Wings | — | 463 | 410 | 100 | 24 | 5 | 17 | 42 | 125 | 9 | 5 | 2 | 244 | 328 | 451 | 779 | 207 | 307 | 27 | 9 | 344 | 71 | — | — | — | — | — | — |
| 2019 | 28 | AAA | Oklahoma City Dodgers | — | 401 | 339 | 108 | 21 | 0 | 27 | 45 | 102 | 16 | 1 | 1 | 319 | 422 | 619 | 1.042 | 301 | 384 | 25 | 11 | 450 | 103 | — | — | — | — | — | — |
| 2019 | 28 | INTL | Algodoneros de Guasave | — | 78 | 72 | 14 | 3 | 0 | 0 | 5 | 29 | 1 | 1 | 0 | 194 | 256 | 236 | 493 | 42 | 326 | 37 | 6 | 231 | 43 | — | — | — | — | — | — |
| 2020 | 29 | INTL | Aguilas Cibaenas | — | 15 | 12 | 3 | 1 | 0 | 0 | 2 | 3 | 1 | 0 | 0 | 250 | 400 | 333 | 733 | 83 | 333 | 20 | 13 | 348 | 122 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 23 | A+ MLE | Lancaster JetHawks | — | 159 | 154 | 36 | 8 | 1 | 8 | 3 | 47 | 1 | 0 | 1 | 234 | 253 | 455 | 708 | 221 | 271 | 30 | 2 | 293 | 84 | — | — | — | — | — | — |
| 2014 | 23 | A MLE | Quad Cities River Bandits | — | 204 | 187 | 44 | 12 | 1 | 3 | 13 | 53 | 3 | 3 | 1 | 235 | 296 | 358 | 654 | 123 | 302 | 26 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2015 | 24 | AA MLE | Corpus Christi Hooks | — | 425 | 379 | 102 | 24 | 4 | 13 | 30 | 113 | 12 | 9 | 1 | 269 | 342 | 456 | 799 | 187 | 339 | 27 | 7 | 346 | 120 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | Fresno Grizzlies | — | 452 | 418 | 85 | 17 | 3 | 13 | 27 | 166 | 5 | 8 | 10 | 203 | 260 | 352 | 612 | 148 | 294 | 37 | 6 | 263 | 64 | — | — | — | — | — | — |
| 2017 | 26 | AAA MLE | Fresno Grizzlies | — | 358 | 318 | 75 | 14 | 2 | 12 | 30 | 124 | 8 | 6 | 2 | 236 | 317 | 406 | 723 | 170 | 341 | 35 | 8 | 318 | 101 | — | — | — | — | — | — |
| 2018 | 27 | AAA MLE | Rochester Red Wings | — | 463 | 425 | 83 | 18 | 4 | 15 | 27 | 153 | 9 | 5 | 2 | 195 | 258 | 362 | 620 | 167 | 261 | 33 | 6 | 273 | 71 | — | — | — | — | — | — |
| 2019 | 28 | AAA MLE | Oklahoma City Dodgers | — | 401 | 354 | 79 | 15 | 0 | 18 | 30 | 130 | 16 | 1 | 1 | 223 | 312 | 418 | 731 | 195 | 291 | 32 | 7 | 321 | 103 | — | — | — | — | — | — |
| 2014 | 23 | A MLE | 2 teams | — | 363 | 341 | 80 | 20 | 2 | 11 | 16 | 100 | 4 | 3 | 2 | 235 | 277 | 402 | 679 | 167 | 299 | 28 | 4 | 285 | 79 | — | — | — | — | — | — |
| 2014 | 23 | A RAW | 2 teams | — | 363 | 333 | 97 | 25 | 2 | 16 | 24 | 72 | 4 | 3 | 2 | 291 | 346 | 523 | 869 | 231 | 329 | 20 | 7 | 378 | 79 | — | — | — | — | — | — |
| 2015 | 24 | AA MLE | Corpus Christi Hooks | — | 425 | 379 | 102 | 24 | 4 | 13 | 30 | 113 | 12 | 9 | 1 | 269 | 342 | 456 | 799 | 187 | 346 | 27 | 7 | 346 | 120 | — | — | — | — | — | — |
| 2015 | 24 | AA RAW | Corpus Christi Hooks | — | 425 | 364 | 119 | 28 | 4 | 18 | 45 | 89 | 12 | 9 | 1 | 327 | 418 | 574 | 992 | 247 | 387 | 21 | 11 | 429 | 120 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | Fresno Grizzlies | — | 452 | 418 | 85 | 17 | 3 | 13 | 27 | 166 | 5 | 8 | 10 | 203 | 260 | 352 | 612 | 148 | 299 | 37 | 6 | 263 | 64 | — | — | — | — | — | — |
| 2016 | 25 | AAA RAW | Fresno Grizzlies | — | 452 | 407 | 108 | 24 | 4 | 18 | 38 | 128 | 5 | 8 | 10 | 265 | 336 | 477 | 812 | 211 | 342 | 28 | 8 | 356 | 64 | — | — | — | — | — | — |
| 2017 | 26 | AAA MLE | Fresno Grizzlies | — | 358 | 318 | 75 | 14 | 2 | 12 | 30 | 124 | 8 | 6 | 2 | 236 | 317 | 406 | 723 | 170 | 342 | 35 | 8 | 318 | 101 | — | — | — | — | — | — |
| 2017 | 26 | AAA RAW | Fresno Grizzlies | — | 358 | 304 | 91 | 17 | 3 | 16 | 44 | 95 | 8 | 6 | 2 | 299 | 402 | 533 | 935 | 234 | 385 | 27 | 12 | 409 | 101 | — | — | — | — | — | — |
| 2018 | 27 | AAA MLE | Rochester Red Wings | — | 463 | 425 | 83 | 18 | 4 | 15 | 27 | 153 | 9 | 5 | 2 | 195 | 258 | 362 | 620 | 167 | 263 | 33 | 6 | 273 | 71 | — | — | — | — | — | — |
| 2018 | 27 | AAA RAW | Rochester Red Wings | — | 463 | 410 | 100 | 24 | 5 | 17 | 42 | 125 | 9 | 5 | 2 | 244 | 328 | 451 | 779 | 207 | 307 | 27 | 9 | 344 | 71 | — | — | — | — | — | — |
| 2019 | 28 | AAA MLE | 2 teams | — | 479 | 425 | 95 | 18 | 0 | 22 | 36 | 155 | 17 | 2 | 1 | 224 | 310 | 421 | 731 | 198 | 293 | 32 | 8 | 321 | 103 | — | — | — | — | — | — |
| 2019 | 28 | AAA RAW | 2 teams | — | 479 | 411 | 122 | 24 | 0 | 27 | 50 | 131 | 17 | 2 | 1 | 297 | 395 | 552 | 948 | 255 | 374 | 27 | 10 | 415 | 103 | — | — | — | — | — | — |
| 2020 | 29 | INTL MLE | Aguilas Cibaenas | — | 15 | 12 | 3 | 1 | 0 | 0 | 2 | 3 | 1 | 0 | 0 | 250 | 400 | 333 | 733 | 83 | 333 | 20 | 13 | — | — | — | — | — | — | — | — |
| 2020 | 29 | INTL RAW | Aguilas Cibaenas | — | 15 | 12 | 3 | 1 | 0 | 0 | 2 | 3 | 1 | 0 | 0 | 250 | 400 | 333 | 733 | 83 | 333 | 20 | 13 | 348 | 122 | — | — | — | — | — | — |
| 2014 | 23 | A MLE | 2 teams | — | 363 | 340 | 80 | 20 | 2 | 11 | 16 | 100 | 4 | 3 | 2 | 235 | 277 | 403 | 680 | 168 | 288 | 28 | 4 | 285 | 79 | — | — | — | — | — | — |
| 2015 | 24 | AA MLE | Corpus Christi Hooks | — | 425 | 380 | 102 | 24 | 4 | 13 | 30 | 113 | 12 | 9 | 1 | 268 | 342 | 455 | 797 | 187 | 339 | 27 | 7 | 346 | 120 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | Fresno Grizzlies | — | 452 | 417 | 85 | 17 | 3 | 13 | 27 | 166 | 5 | 8 | 10 | 204 | 260 | 353 | 613 | 149 | 294 | 37 | 6 | 263 | 64 | — | — | — | — | — | — |
| 2017 | 26 | AAA MLE | Fresno Grizzlies | — | 358 | 317 | 75 | 14 | 2 | 12 | 30 | 124 | 8 | 6 | 2 | 237 | 317 | 407 | 724 | 170 | 341 | 35 | 8 | 318 | 101 | — | — | — | — | — | — |
| 2018 | 27 | AAA MLE | Rochester Red Wings | — | 463 | 424 | 83 | 18 | 4 | 15 | 27 | 153 | 9 | 5 | 2 | 196 | 258 | 363 | 621 | 167 | 261 | 33 | 6 | 273 | 71 | — | — | — | — | — | — |
| 2019 | 28 | AAA MLE | 2 teams | — | 479 | 423 | 95 | 18 | 0 | 22 | 36 | 155 | 17 | 2 | 1 | 225 | 310 | 423 | 733 | 199 | 291 | 32 | 8 | 321 | 103 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2555 | 2318 | 523 | 112 | 15 | 86 | 168 | 814 | 56 | 33 | 18 | 226 | 294 | 398 | 692 | 173 | 306 | 32 | 7 | 299 | 88 | -36 | -1 | +0 | -27 | +55 | -0.8 | |
| / 162G | — | MLE | — | 650 | 590 | 133 | 28 | 4 | 22 | 43 | 207 | 14 | 8 | 5 | 225 | 294 | 398 | 692 | 173 | 305 | 32 | 7 | 299 | 88 | -9 | -0 | +0 | -7 | +14 | -0.2 | |
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 AAAOklahoma City Dodgers · 401 PAwOBA .438 → .321 (−117)K% 25.4% → 32.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.44% | ÷1.014 | ×1.290 | — | — | 32.36% |
| BB% (unintentional) /PA | 10.72% | ÷0.993 | ×0.710 | — | ×0.982 | 7.53% |
| HBP% /PA | 3.99% | — | ×0.980 | — | ×0.982 | 3.84% |
| Singles /BIP | 25.32% | ÷1.048 | ×0.900 | ×0.950 | ×0.982 | 20.29% |
| Doubles /BIP | 8.86% | ÷1.012 | ×0.810 | ×0.950 | ×0.982 | 6.62% |
| Triples /BIP | 0.00% | ÷1.045 | ×0.810 | ×0.950 | ×0.982 | 0.00% |
| Home runs /BIP | 11.39% | ÷1.073 | ×0.780 | — | ×0.982 | 8.13% |
Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 110, 2B 102, 3B 109, K 103, BB 99 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .438 → .321; ISO .301 → .206; BABIP .384 → .291. 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 AAARochester Red Wings · 463 PAwOBA .334 → .273 (−62)K% 27.0% → 33.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.00% | ÷0.978 | ×1.200 | — | — | 33.14% |
| BB% (unintentional) /PA | 8.64% | ÷1.008 | ×0.690 | — | ×0.992 | 5.86% |
| HBP% /PA | 1.94% | — | ×0.940 | — | ×0.992 | 1.81% |
| Singles /BIP | 18.95% | ÷1.023 | ×0.930 | ×0.977 | ×0.992 | 16.69% |
| Doubles /BIP | 8.42% | ÷1.009 | ×0.830 | ×0.977 | ×0.992 | 6.71% |
| Triples /BIP | 1.75% | ÷1.150 | ×0.970 | ×0.977 | ×0.992 | 1.43% |
| Home runs /BIP | 5.96% | ÷0.879 | ×0.840 | — | ×0.992 | 5.65% |
Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 105, 2B 102, 3B 130, K 96, BB 102 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.
Result: wOBA .334 → .273; ISO .207 → .177; BABIP .307 → .261. 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 AAAFresno Grizzlies · 358 PAwOBA .400 → .318 (−82)K% 26.5% → 34.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.54% | ÷0.992 | ×1.290 | — | — | 34.50% |
| BB% (unintentional) /PA | 12.29% | ÷1.028 | ×0.710 | — | ×1.003 | 8.52% |
| HBP% /PA | 2.23% | — | ×0.980 | — | ×1.003 | 2.20% |
| Singles /BIP | 26.32% | ÷0.978 | ×0.900 | ×0.995 | ×1.003 | 24.18% |
| Doubles /BIP | 8.13% | ÷0.926 | ×0.810 | ×0.995 | ×1.003 | 7.10% |
| Triples /BIP | 1.44% | ÷1.150 | ×0.810 | ×0.995 | ×1.003 | 1.01% |
| Home runs /BIP | 7.66% | ÷0.963 | ×0.780 | — | ×1.003 | 6.22% |
Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 85, 3B 130, K 98, BB 106 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.
Result: wOBA .400 → .318; ISO .234 → .179; BABIP .385 → .341. 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 AAAFresno Grizzlies · 452 PAwOBA .348 → .263 (−85)K% 28.3% → 36.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.32% | ÷0.996 | ×1.290 | — | — | 36.66% |
| BB% (unintentional) /PA | 8.41% | ÷1.008 | ×0.710 | — | ×1.018 | 6.03% |
| HBP% /PA | 1.11% | — | ×0.980 | — | ×1.018 | 1.10% |
| Singles /BIP | 22.22% | ÷1.000 | ×0.900 | ×1.003 | ×1.018 | 20.42% |
| Doubles /BIP | 8.60% | ÷1.061 | ×0.810 | ×1.003 | ×1.018 | 6.70% |
| Triples /BIP | 1.43% | ÷1.150 | ×0.810 | ×1.003 | ×1.018 | 1.03% |
| Home runs /BIP | 6.45% | ÷1.040 | ×0.780 | — | ×1.018 | 4.93% |
Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.
Result: wOBA .348 → .263; ISO .211 → .147; BABIP .342 → .294. 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 AACorpus Christi Hooks · 425 PAwOBA .421 → .346 (−75)K% 20.9% → 26.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.94% | ÷0.964 | ×1.220 | — | — | 26.51% |
| BB% (unintentional) /PA | 10.12% | ÷1.003 | ×0.700 | — | ×0.998 | 7.04% |
| HBP% /PA | 2.82% | — | ×0.870 | — | ×0.998 | 2.45% |
| Singles /BIP | 25.09% | ÷1.022 | ×0.920 | ×0.994 | ×0.998 | 22.39% |
| Doubles /BIP | 10.18% | ÷0.963 | ×0.840 | ×0.994 | ×0.998 | 8.81% |
| Triples /BIP | 1.45% | ÷0.900 | ×0.940 | ×0.994 | ×0.998 | 1.51% |
| Home runs /BIP | 6.55% | ÷1.059 | ×0.800 | — | ×0.998 | 4.94% |
Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 104, 2B 93, 3B 80, K 93, BB 101 — 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 ×0.994.
Result: wOBA .421 → .346; ISO .247 → .199; BABIP .387 → .339. 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 AQuad Cities River Bandits · 204 PAwOBA .353 → .278 (−75)K% 19.1% → 25.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.12% | ÷1.004 | ×1.360 | — | — | 25.91% |
| BB% (unintentional) /PA | 9.31% | ÷1.005 | ×0.690 | — | ×0.980 | 6.26% |
| HBP% /PA | 1.47% | — | ×0.780 | — | ×0.980 | 1.12% |
| Singles /BIP | 22.70% | ÷1.003 | ×0.920 | ×0.997 | ×0.980 | 20.35% |
| Doubles /BIP | 10.64% | ÷0.999 | ×0.830 | ×0.997 | ×0.980 | 8.64% |
| Triples /BIP | 0.71% | ÷1.013 | ×0.910 | ×0.997 | ×0.980 | 0.62% |
| Home runs /BIP | 2.84% | ÷1.084 | ×0.800 | — | ×0.980 | 2.05% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 101, 2B 100, 3B 103, K 101, BB 101 — 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 ×0.997.
Result: wOBA .353 → .278; ISO .161 → .121; BABIP .350 → .302. 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 A+Lancaster JetHawks · 159 PAwOBA .385 → .293 (−92)K% 20.8% → 29.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.75% | ÷0.948 | ×1.340 | — | — | 29.35% |
| BB% (unintentional) /PA | 2.52% | ÷0.987 | ×0.710 | — | ×0.988 | 1.79% |
| HBP% /PA | 0.63% | — | ×0.790 | — | ×0.988 | 0.49% |
| Singles /BIP | 18.33% | ÷0.999 | ×0.910 | ×1.050 | ×0.988 | 17.32% |
| Doubles /BIP | 8.33% | ÷0.963 | ×0.820 | ×1.050 | ×0.988 | 7.36% |
| Triples /BIP | 0.83% | ÷0.915 | ×0.760 | ×1.050 | ×0.988 | 0.72% |
| Home runs /BIP | 10.00% | ÷1.234 | ×0.920 | — | ×0.988 | 7.37% |
Factors used: league row CAL. Park (home-season share, regressed): HR 147, 1B 100, 2B 93, 3B 83, K 90, BB 97 — 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 ×1.050.
Result: wOBA .385 → .293; ISO .314 → .220; BABIP .303 → .271. 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 — .