Greg Deichmann
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021 | 26 | AAACHC | 392 | .274/.389/.435 | 7 | 10 | 88 | — | .236/.320/.365 | |
| 2021 | 26 | MLBCHC | 31 | .133/.161/.133 | 0 | 0 | -20 | -0.8 | ||
| 2022 | 27 | AAACHC | 282 | .214/.273/.335 | 7 | 8 | 31 | — | .182/.223/.269 | |
| 2023 | 28 | AAA/AAOAK | 426 | .245/.325/.467 | 19 | 16 | 62 | — | .193/.250/.353 | |
| 2024 | 29 | No MLB games played | ||||||||
| 2025 | 30 | No MLB games played | ||||||||
| 2026 | 31 | No MLB games played | ||||||||
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) | |||||||||||||||||||||||||||||||
| 2018 | 23 | A+ | Stockton Ports | — | 185 | 166 | 33 | 14 | 0 | 6 | 17 | 63 | 1 | 0 | 1 | 199 | 277 | 392 | 669 | 193 | 276 | 34 | 9 | 296 | 24 | — | — | — | — | — | — |
| 2018 | 23 | ROK | AZL Athletics | — | 43 | 38 | 11 | 2 | 2 | 1 | 5 | 8 | 0 | 0 | 0 | 289 | 372 | 526 | 898 | 237 | 345 | 19 | 12 | 391 | 62 | — | — | — | — | — | — |
| 2019 | 24 | AA | Midland RockHounds | — | 340 | 301 | 66 | 10 | 2 | 11 | 34 | 103 | 2 | 19 | 5 | 219 | 303 | 375 | 678 | 156 | 289 | 30 | 10 | 303 | 39 | — | — | — | — | — | — |
| 2019 | 24 | INTL | Mesa Solar Sox | — | 95 | 82 | 21 | 2 | 1 | 9 | 10 | 29 | 2 | 2 | 2 | 256 | 351 | 634 | 985 | 378 | 267 | 31 | 11 | 416 | 168 | — | — | — | — | — | — |
| 2021 | 26 | MLB | Chicago Cubs | — | 31 | 30 | 4 | 0 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 133 | 161 | 133 | 295 | 250 | 45 | 3 | 139 | -20 | -4 | +0 | +0 | -5 | +1 | -0.8 | |
| 2021 | 26 | AAA | Iowa Cubs | — | 392 | 329 | 90 | 22 | 5 | 7 | 61 | 98 | 1 | 10 | 3 | 274 | 389 | 435 | 823 | 161 | 369 | 25 | 16 | 370 | 88 | — | — | — | — | — | — |
| 2022 | 27 | AAA | Iowa Cubs | — | 282 | 257 | 55 | 10 | 0 | 7 | 20 | 91 | 1 | 8 | 4 | 214 | 273 | 335 | 608 | 121 | 298 | 32 | 7 | 271 | 31 | — | — | — | — | — | — |
| 2023 | 28 | AAA | Las Vegas Aviators | — | 201 | 184 | 48 | 10 | 2 | 9 | 14 | 57 | 2 | 9 | 2 | 261 | 320 | 484 | 804 | 223 | 328 | 28 | 7 | 351 | 63 | — | — | — | — | — | — |
| 2023 | 28 | AA | Midland RockHounds | — | 225 | 195 | 45 | 5 | 4 | 10 | 28 | 66 | 1 | 7 | 1 | 231 | 330 | 451 | 782 | 221 | 292 | 29 | 12 | 344 | 62 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 31 | 30 | 4 | 0 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 133 | 161 | 133 | 295 | 250 | 45 | 3 | 139 | -20 | -4 | +0 | +0 | -5 | +1 | -0.8 | |||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 23 | A+ MLE | Stockton Ports | — | 185 | 171 | 24 | 10 | 0 | 4 | 12 | 87 | 1 | 0 | 1 | 140 | 201 | 269 | 470 | 129 | 242 | 47 | 6 | 203 | 24 | — | — | — | — | — | — |
| 2018 | 23 | ROK MLE | AZL Athletics | — | 43 | 40 | 8 | 1 | 1 | 1 | 3 | 12 | 0 | 0 | 0 | 200 | 256 | 350 | 606 | 150 | 257 | 28 | 7 | 260 | 62 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | Midland RockHounds | — | 340 | 310 | 52 | 7 | 1 | 9 | 25 | 133 | 2 | 19 | 5 | 168 | 234 | 284 | 518 | 116 | 244 | 39 | 7 | 226 | 39 | — | — | — | — | — | — |
| 2021 | 26 | MLB MLE | Chicago Cubs | — | 31 | 30 | 4 | 0 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 133 | 161 | 133 | 295 | 250 | 45 | 3 | 139 | -20 | -4 | +0 | +0 | -5 | +1 | -0.8 | |
| 2021 | 26 | AAA MLE | Iowa Cubs | — | 392 | 348 | 82 | 20 | 5 | 5 | 42 | 114 | 1 | 10 | 3 | 236 | 320 | 365 | 685 | 129 | 330 | 29 | 11 | 298 | 88 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Iowa Cubs | — | 282 | 264 | 48 | 8 | 0 | 5 | 13 | 111 | 1 | 8 | 4 | 182 | 223 | 269 | 492 | 87 | 277 | 39 | 5 | 214 | 31 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Las Vegas Aviators | — | 201 | 189 | 39 | 7 | 2 | 6 | 9 | 67 | 2 | 9 | 2 | 206 | 250 | 360 | 610 | 153 | 278 | 33 | 4 | 261 | 63 | — | — | — | — | — | — |
| 2023 | 28 | AA MLE | Midland RockHounds | — | 225 | 205 | 37 | 4 | 3 | 8 | 18 | 82 | 1 | 7 | 1 | 180 | 250 | 346 | 596 | 166 | 251 | 36 | 8 | 260 | 62 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 2 teams | — | 228 | 211 | 31 | 12 | 1 | 4 | 15 | 98 | 1 | 0 | 1 | 147 | 207 | 270 | 477 | 123 | 245 | 43 | 7 | 214 | 31 | — | — | — | — | — | — |
| 2018 | 23 | A+ RAW | 2 teams | — | 228 | 204 | 44 | 16 | 2 | 7 | 22 | 71 | 1 | 0 | 1 | 216 | 295 | 417 | 712 | 201 | 291 | 31 | 10 | 314 | 31 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 435 | 395 | 65 | 8 | 2 | 11 | 32 | 170 | 4 | 21 | 7 | 165 | 234 | 278 | 513 | 114 | 248 | 39 | 7 | 226 | 39 | — | — | — | — | — | — |
| 2019 | 24 | AA RAW | 2 teams | — | 435 | 383 | 87 | 12 | 3 | 20 | 44 | 132 | 4 | 21 | 7 | 227 | 313 | 431 | 744 | 204 | 285 | 30 | 10 | 328 | 39 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | 2 teams | — | 423 | 378 | 86 | 20 | 5 | 5 | 43 | 128 | 1 | 10 | 3 | 228 | 308 | 347 | 655 | 119 | 329 | 30 | 10 | 286 | 80 | — | — | — | — | — | — |
| 2021 | 26 | AAA RAW | 2 teams | — | 423 | 359 | 94 | 22 | 5 | 7 | 62 | 112 | 1 | 10 | 3 | 262 | 372 | 409 | 782 | 148 | 361 | 26 | 15 | 353 | 80 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Iowa Cubs | — | 282 | 264 | 48 | 8 | 0 | 5 | 13 | 111 | 1 | 8 | 4 | 182 | 223 | 269 | 492 | 87 | 287 | 39 | 5 | 214 | 31 | — | — | — | — | — | — |
| 2022 | 27 | AAA RAW | Iowa Cubs | — | 282 | 257 | 55 | 10 | 0 | 7 | 20 | 91 | 1 | 8 | 4 | 214 | 273 | 335 | 608 | 121 | 298 | 32 | 7 | 271 | 31 | — | — | — | — | — | — |
| 2023 | 28 | AA MLE | 2 teams | — | 426 | 394 | 76 | 11 | 5 | 14 | 27 | 149 | 3 | 16 | 3 | 193 | 250 | 353 | 603 | 160 | 266 | 35 | 6 | 260 | 62 | — | — | — | — | — | — |
| 2023 | 28 | AA RAW | 2 teams | — | 426 | 379 | 93 | 15 | 6 | 19 | 42 | 123 | 3 | 16 | 3 | 245 | 325 | 467 | 792 | 222 | 310 | 29 | 10 | 347 | 62 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 2 teams | — | 228 | 210 | 31 | 12 | 1 | 4 | 15 | 98 | 1 | 0 | 1 | 148 | 207 | 271 | 478 | 124 | 245 | 43 | 7 | 214 | 31 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 435 | 396 | 65 | 8 | 2 | 11 | 32 | 170 | 4 | 21 | 7 | 164 | 234 | 278 | 512 | 114 | 244 | 39 | 7 | 226 | 39 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | 2 teams | — | 423 | 376 | 86 | 20 | 5 | 5 | 43 | 128 | 1 | 10 | 3 | 229 | 308 | 348 | 656 | 120 | 324 | 30 | 10 | 286 | 80 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Iowa Cubs | — | 282 | 266 | 48 | 8 | 0 | 5 | 13 | 111 | 1 | 8 | 4 | 180 | 223 | 267 | 490 | 86 | 277 | 39 | 5 | 214 | 31 | — | — | — | — | — | — |
| 2023 | 28 | AA MLE | 2 teams | — | 426 | 393 | 76 | 11 | 5 | 14 | 27 | 149 | 3 | 16 | 3 | 193 | 250 | 354 | 604 | 160 | 264 | 35 | 6 | 260 | 62 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 31 | 30 | 4 | 0 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 133 | 161 | 133 | 295 | 250 | 45 | 3 | 139 | 52 | -4 | +0 | +0 | -5 | +1 | -0.8 | ||
| / 162G | — | A+C | — | 650 | 629 | 84 | 0 | 0 | 0 | 21 | 294 | 0 | 0 | 0 | 134 | 162 | 134 | 295 | 251 | 45 | 3 | 139 | 52 | -92 | +0 | +6 | -95 | +14 | -17.1 | ||
| Career | — | MLE | — | 1794 | 1642 | 306 | 59 | 13 | 39 | 130 | 656 | 10 | 55 | 18 | 186 | 250 | 309 | 560 | 123 | 279 | 37 | 7 | 245 | 52 | -4 | +0 | +0 | -5 | +1 | -0.8 | |
| / 162G | — | MLE | — | 650 | 595 | 111 | 21 | 5 | 14 | 47 | 238 | 4 | 20 | 7 | 187 | 251 | 309 | 560 | 123 | 280 | 37 | 7 | 245 | 52 | -92 | +0 | +6 | -95 | +14 | -17.1 | |
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 AAMidland RockHounds · 225 PAwOBA .337 → .260 (−77)K% 29.3% → 36.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.33% | ÷0.981 | ×1.220 | — | — | 36.47% |
| BB% (unintentional) /PA | 12.44% | ÷1.031 | ×0.700 | — | ×0.968 | 8.18% |
| HBP% /PA | 0.44% | — | ×0.870 | — | ×0.968 | 0.37% |
| Singles /BIP | 20.16% | ÷1.021 | ×0.920 | ×1.025 | ×0.968 | 18.02% |
| Doubles /BIP | 3.88% | ÷1.011 | ×0.840 | ×1.025 | ×0.968 | 3.20% |
| Triples /BIP | 3.10% | ÷1.150 | ×0.940 | ×1.025 | ×0.968 | 2.51% |
| Home runs /BIP | 7.75% | ÷0.957 | ×0.800 | — | ×0.968 | 6.28% |
Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 104, 2B 102, 3B 130, K 96, BB 106 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.
Result: wOBA .337 → .260; ISO .221 → .172; BABIP .292 → .251. 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 AAALas Vegas Aviators · 201 PAwOBA .342 → .261 (−81)K% 28.4% → 33.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.36% | ÷1.017 | ×1.200 | — | — | 33.45% |
| BB% (unintentional) /PA | 6.97% | ÷1.055 | ×0.690 | — | ×0.992 | 4.52% |
| HBP% /PA | 1.00% | — | ×0.940 | — | ×0.992 | 0.93% |
| Singles /BIP | 21.26% | ÷0.993 | ×0.930 | ×0.991 | ×0.992 | 19.57% |
| Doubles /BIP | 7.87% | ÷1.124 | ×0.830 | ×0.991 | ×0.992 | 5.72% |
| Triples /BIP | 1.57% | ÷1.133 | ×0.970 | ×0.991 | ×0.992 | 1.33% |
| Home runs /BIP | 7.09% | ÷0.996 | ×0.700 | — | ×0.992 | 4.94% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 99, 2B 125, 3B 127, K 103, BB 111 — 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 ×0.991.
Result: wOBA .342 → .261; ISO .223 → .155; BABIP .328 → .278. 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 AAAIowa Cubs · 282 PAwOBA .266 → .214 (−52)K% 32.3% → 39.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.27% | ÷0.988 | ×1.200 | — | — | 39.19% |
| BB% (unintentional) /PA | 7.09% | ÷1.048 | ×0.690 | — | ×1.003 | 4.68% |
| HBP% /PA | 0.35% | — | ×0.940 | — | ×1.003 | 0.33% |
| Singles /BIP | 22.89% | ÷0.985 | ×0.930 | ×1.013 | ×1.003 | 21.94% |
| Doubles /BIP | 6.02% | ÷0.967 | ×0.830 | ×1.013 | ×1.003 | 5.25% |
| Triples /BIP | 0.00% | ÷1.118 | ×0.970 | ×1.013 | ×1.003 | 0.00% |
| Home runs /BIP | 4.22% | ÷0.996 | ×0.700 | — | ×1.003 | 2.97% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 97, 2B 93, 3B 124, K 98, BB 110 — 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 ×1.013.
Result: wOBA .266 → .214; ISO .121 → .087; BABIP .298 → .277. 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 AAAIowa Cubs · 392 PAwOBA .362 → .298 (−63)K% 25.0% → 29.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷1.032 | ×1.200 | — | — | 29.07% |
| BB% (unintentional) /PA | 15.56% | ÷1.023 | ×0.690 | — | ×1.018 | 10.69% |
| HBP% /PA | 0.26% | — | ×0.940 | — | ×1.018 | 0.24% |
| Singles /BIP | 24.24% | ÷1.039 | ×0.930 | ×0.999 | ×1.018 | 22.07% |
| Doubles /BIP | 9.52% | ÷0.963 | ×0.830 | ×0.999 | ×1.018 | 8.35% |
| Triples /BIP | 2.16% | ÷0.988 | ×0.920 | ×0.999 | ×1.018 | 2.05% |
| Home runs /BIP | 3.03% | ÷1.081 | ×0.700 | — | ×1.018 | 2.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 108, 2B 93, 3B 98, K 106, BB 105 — 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 ×0.999.
Result: wOBA .362 → .298; ISO .161 → .132; BABIP .369 → .330. 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 AAMidland RockHounds · 340 PAwOBA .298 → .226 (−71)K% 30.3% → 39.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.29% | ÷0.946 | ×1.220 | — | — | 39.06% |
| BB% (unintentional) /PA | 10.00% | ÷0.975 | ×0.700 | — | ×1.012 | 7.27% |
| HBP% /PA | 0.59% | — | ×0.870 | — | ×1.012 | 0.52% |
| Singles /BIP | 21.72% | ÷0.999 | ×0.920 | ×0.950 | ×1.012 | 19.22% |
| Doubles /BIP | 5.05% | ÷1.132 | ×0.840 | ×0.950 | ×1.012 | 3.60% |
| Triples /BIP | 1.01% | ÷1.150 | ×0.940 | ×0.950 | ×1.012 | 0.79% |
| Home runs /BIP | 5.56% | ÷0.954 | ×0.800 | — | ×1.012 | 4.71% |
Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 100, 2B 126, 3B 130, K 89, BB 95 — 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 ×0.950.
Result: wOBA .298 → .226; ISO .156 → .116; BABIP .289 → .244. 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 A+Stockton Ports · 185 PAwOBA .290 → .203 (−87)K% 34.1% → 46.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.05% | ÷0.972 | ×1.340 | — | — | 46.93% |
| BB% (unintentional) /PA | 9.19% | ÷1.035 | ×0.710 | — | ×0.998 | 6.29% |
| HBP% /PA | 0.54% | — | ×0.790 | — | ×0.998 | 0.43% |
| Singles /BIP | 12.62% | ÷0.978 | ×0.910 | ×0.989 | ×0.998 | 11.60% |
| Doubles /BIP | 13.59% | ÷0.926 | ×0.820 | ×0.989 | ×0.998 | 11.89% |
| Triples /BIP | 0.00% | ÷1.006 | ×0.760 | ×0.989 | ×0.998 | 0.00% |
| Home runs /BIP | 5.83% | ÷1.244 | ×0.920 | — | ×0.998 | 4.30% |
Factors used: league row CAL. Park (home-season share, regressed): HR 149, 1B 96, 2B 85, 3B 101, K 94, BB 107 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.
Result: wOBA .290 → .203; ISO .193 → .128; BABIP .276 → .242. 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 ROKAZL Athletics · 43 PAwOBA .381 → .260 (−121)K% 18.6% → 26.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.60% | ÷1.000 | ×1.440 | — | — | 26.79% |
| BB% (unintentional) /PA | 11.63% | ÷1.000 | ×0.620 | — | ×0.965 | 6.96% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.965 | 0.00% |
| Singles /BIP | 20.00% | ÷1.000 | ×0.820 | — | ×0.965 | 15.83% |
| Doubles /BIP | 6.67% | ÷1.000 | ×0.720 | — | ×0.965 | 4.63% |
| Triples /BIP | 6.67% | ÷1.000 | ×0.720 | — | ×0.965 | 4.63% |
| Home runs /BIP | 3.33% | ÷1.000 | ×0.780 | — | ×0.965 | 2.51% |
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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).
Result: wOBA .381 → .260; ISO .237 → .161; BABIP .345 → .257. 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 — .