Luis Chevalier
3B ACL Royals| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 21 | A+/ROKCIN | 100 | .295/.444/.410 | 2 | 5 | 84 | — | .233/.333/.326 |
| 2024 | 22 | ROKCIN | 126 | .245/.403/.439 | 3 | 2 | 53 | — | .159/.274/.271 |
| 2025 | 23 | ROKKC | 60 | .241/.317/.444 | 1 | 0 | 33 | — | .179/.233/.339 |
| 2027PROJMLE | 25 | MLBKC | 200 | .201/.273/.305 | 3 | 2 | 64 | 0.0 | |
| 2028PROJ29% MLB | 26 | MLBKC | 23 | .202/.274/.309 | 0 | 0 | 67 | -0.0 |
Tools · Contract
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) | |||||||||||||||||||||||||||||||
| 2019 | 17 | ROK | DSL Mariners | — | 44 | 36 | 5 | 1 | 0 | 0 | 6 | 14 | 1 | 1 | 1 | 139 | 279 | 167 | 446 | 28 | 227 | 32 | 14 | 223 | -11 | — | — | — | — | — | — |
| 2021 | 19 | ROK | ACL Mariners | — | 168 | 140 | 31 | 4 | 1 | 3 | 25 | 35 | 2 | 2 | 0 | 221 | 347 | 329 | 676 | 107 | 272 | 21 | 15 | 314 | 36 | — | — | — | — | — | — |
| 2022 | 20 | A | Daytona Tortugas | — | 48 | 40 | 4 | 0 | 0 | 0 | 8 | 19 | 0 | 1 | 1 | 100 | 250 | 100 | 350 | 190 | 40 | 17 | 192 | -20 | — | — | — | — | — | — | |
| 2022 | 20 | ROK | ACL Reds | — | 18 | 16 | 2 | 0 | 0 | 0 | 2 | 5 | 0 | 1 | 0 | 125 | 222 | 125 | 347 | 182 | 28 | 11 | 178 | -36 | — | — | — | — | — | — | |
| 2023 | 21 | A+ | Dayton Dragons | — | 30 | 25 | 5 | 0 | 0 | 1 | 5 | 6 | 0 | 1 | 0 | 200 | 333 | 320 | 653 | 120 | 222 | 20 | 17 | 306 | 55 | — | — | — | — | — | — |
| 2023 | 21 | ROK | ACL Reds | — | 70 | 53 | 18 | 3 | 0 | 1 | 16 | 10 | 0 | 4 | 4 | 340 | 493 | 453 | 946 | 113 | 395 | 14 | 23 | 425 | 97 | — | — | — | — | — | — |
| 2024 | 22 | ROK | ACL Reds | — | 126 | 98 | 24 | 6 | 2 | 3 | 23 | 24 | 3 | 2 | 1 | 245 | 403 | 439 | 842 | 194 | 296 | 19 | 18 | 375 | 53 | — | — | — | — | — | — |
| 2025 | 23 | ROK | ACL Royals | — | 60 | 54 | 13 | 6 | 1 | 1 | 4 | 13 | 2 | 0 | 0 | 241 | 317 | 444 | 761 | 204 | 300 | 22 | 7 | 336 | 33 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 17 | ROK MLE | DSL Mariners | — | 44 | 38 | 4 | 1 | 0 | 0 | 4 | 17 | 1 | 1 | 1 | 105 | 209 | 132 | 341 | 26 | 154 | 39 | 9 | 152 | -11 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL Mariners | — | 168 | 150 | 25 | 3 | 1 | 3 | 15 | 51 | 2 | 2 | 0 | 167 | 251 | 260 | 511 | 93 | 219 | 30 | 9 | 222 | 36 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | Daytona Tortugas | — | 48 | 42 | 3 | 0 | 0 | 0 | 6 | 25 | 0 | 1 | 1 | 71 | 188 | 71 | 259 | 178 | 52 | 12 | 138 | -20 | — | — | — | — | — | — | |
| 2022 | 20 | ROK MLE | ACL Reds | — | 18 | 17 | 1 | 0 | 0 | 0 | 1 | 7 | 0 | 1 | 0 | 59 | 111 | 59 | 170 | 145 | 39 | 6 | 115 | -36 | — | — | — | — | — | — | |
| 2023 | 21 | A+ MLE | Dayton Dragons | — | 30 | 26 | 5 | 0 | 0 | 1 | 4 | 8 | 0 | 1 | 0 | 192 | 300 | 308 | 608 | 115 | 213 | 27 | 13 | 250 | 55 | — | — | — | — | — | — |
| 2023 | 21 | ROK MLE | ACL Reds | — | 70 | 60 | 15 | 2 | 0 | 1 | 9 | 14 | 0 | 4 | 4 | 250 | 348 | 333 | 681 | 83 | 308 | 20 | 13 | 312 | 97 | — | — | — | — | — | — |
| 2024 | 22 | ROK MLE | ACL Reds | — | 126 | 107 | 17 | 4 | 1 | 2 | 14 | 35 | 3 | 2 | 1 | 159 | 274 | 271 | 545 | 112 | 210 | 28 | 11 | 246 | 53 | — | — | — | — | — | — |
| 2025 | 23 | ROK MLE | ACL Royals | — | 60 | 56 | 10 | 4 | 1 | 1 | 2 | 19 | 2 | 0 | 0 | 179 | 233 | 339 | 573 | 161 | 219 | 32 | 3 | 217 | 33 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Mariners | — | 44 | 38 | 4 | 1 | 0 | 0 | 4 | 17 | 1 | 1 | 1 | 105 | 209 | 132 | 341 | 26 | 190 | 39 | 9 | 152 | -11 | — | — | — | — | — | — |
| 2019 | 17 | ROK RAW | DSL Mariners | — | 44 | 36 | 5 | 1 | 0 | 0 | 6 | 14 | 1 | 1 | 1 | 139 | 279 | 167 | 446 | 28 | 227 | 32 | 14 | 223 | -11 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL Mariners | — | 168 | 150 | 25 | 3 | 1 | 3 | 15 | 51 | 2 | 2 | 0 | 167 | 251 | 260 | 511 | 93 | 227 | 30 | 9 | 222 | 36 | — | — | — | — | — | — |
| 2021 | 19 | ROK RAW | ACL Mariners | — | 168 | 140 | 31 | 4 | 1 | 3 | 25 | 35 | 2 | 2 | 0 | 221 | 347 | 329 | 676 | 107 | 272 | 21 | 15 | 314 | 36 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | 2 teams | — | 66 | 59 | 4 | 0 | 0 | 0 | 7 | 32 | 0 | 2 | 1 | 68 | 167 | 68 | 234 | 148 | 48 | 11 | 132 | -25 | — | — | — | — | — | — | |
| 2022 | 20 | A RAW | 2 teams | — | 66 | 56 | 6 | 0 | 0 | 0 | 10 | 24 | 0 | 2 | 1 | 107 | 242 | 107 | 350 | 188 | 36 | 15 | 188 | -25 | — | — | — | — | — | — | |
| 2023 | 21 | ROK MLE | 2 teams | — | 100 | 86 | 20 | 2 | 0 | 2 | 13 | 22 | 0 | 5 | 4 | 233 | 333 | 326 | 659 | 93 | 286 | 22 | 13 | 293 | 85 | — | — | — | — | — | — |
| 2023 | 21 | ROK RAW | 2 teams | — | 100 | 78 | 23 | 3 | 0 | 2 | 21 | 16 | 0 | 5 | 4 | 295 | 444 | 410 | 855 | 115 | 344 | 16 | 21 | 390 | 85 | — | — | — | — | — | — |
| 2024 | 22 | ROK MLE | ACL Reds | — | 126 | 107 | 17 | 4 | 1 | 2 | 14 | 35 | 3 | 2 | 1 | 159 | 274 | 271 | 545 | 112 | 214 | 28 | 11 | 246 | 53 | — | — | — | — | — | — |
| 2024 | 22 | ROK RAW | ACL Reds | — | 126 | 98 | 24 | 6 | 2 | 3 | 23 | 24 | 3 | 2 | 1 | 245 | 403 | 439 | 842 | 194 | 296 | 19 | 18 | 375 | 53 | — | — | — | — | — | — |
| 2025 | 23 | ROK MLE | ACL Royals | — | 60 | 56 | 10 | 4 | 1 | 1 | 2 | 19 | 2 | 0 | 0 | 179 | 233 | 339 | 573 | 161 | 250 | 32 | 3 | 217 | 33 | — | — | — | — | — | — |
| 2025 | 23 | ROK RAW | ACL Royals | — | 60 | 54 | 13 | 6 | 1 | 1 | 4 | 13 | 2 | 0 | 0 | 241 | 317 | 444 | 761 | 204 | 300 | 22 | 7 | 336 | 33 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Mariners | — | 44 | 39 | 4 | 1 | 0 | 0 | 4 | 17 | 1 | 1 | 1 | 103 | 209 | 128 | 338 | 26 | 154 | 39 | 9 | 152 | -11 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | ACL Mariners | — | 168 | 149 | 25 | 3 | 1 | 3 | 15 | 51 | 2 | 2 | 0 | 168 | 251 | 262 | 513 | 94 | 219 | 30 | 9 | 222 | 36 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | 2 teams | — | 66 | 59 | 4 | 0 | 0 | 0 | 7 | 32 | 0 | 2 | 1 | 68 | 167 | 68 | 234 | 169 | 48 | 11 | 132 | -25 | — | — | — | — | — | — | |
| 2023 | 21 | ROK MLE | 2 teams | — | 100 | 87 | 20 | 2 | 0 | 2 | 13 | 22 | 0 | 5 | 4 | 230 | 333 | 322 | 655 | 92 | 279 | 22 | 13 | 293 | 85 | — | — | — | — | — | — |
| 2024 | 22 | ROK MLE | ACL Reds | — | 126 | 108 | 17 | 4 | 1 | 2 | 14 | 35 | 3 | 2 | 1 | 157 | 274 | 269 | 543 | 111 | 210 | 28 | 11 | 246 | 53 | — | — | — | — | — | — |
| 2025 | 23 | ROK MLE | ACL Royals | — | 60 | 56 | 10 | 4 | 1 | 1 | 2 | 19 | 2 | 0 | 0 | 179 | 233 | 339 | 573 | 161 | 219 | 32 | 3 | 217 | 33 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | ROK MLE | ACL Reds | — | 126 | 108 | 17 | 4 | 1 | 2 | 14 | 35 | 3 | 2 | 1 | 157 | 274 | 269 | 543 | 111 | 210 | 28 | 11 | 246 | 53 | — | — | — | — | — | — |
| 2025 | 23 | ROK MLE | ACL Royals | — | 60 | 56 | 10 | 4 | 1 | 1 | 2 | 19 | 2 | 0 | 0 | 179 | 233 | 339 | 573 | 161 | 219 | 32 | 3 | 217 | 33 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | KC | 0% | 200 | 181 | 37 | 7 | 2 | 3 | 15 | 61 | 2 | 2 | 1 | 201 | 273 | 305 | 578 | 104 | 285 | 30 | 8 | 263 | 64 | -9 | +0 | +0 | +1 | +4 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | KC | 29% | 80 | 73 | 15 | 3 | 1 | 1 | 6 | 24 | 1 | 1 | 0 | 204 | 276 | 314 | 589 | 109 | 285 | 30 | 8 | 267 | 67 | -3 | +0 | +0 | +0 | +2 | -0.1 |
| 2028 | 26 | MLB CTX | KC | 29% | 23 | 21 | 4 | 1 | 0 | 0 | 2 | 7 | 0 | 0 | 0 | 202 | 274 | 309 | 583 | 107 | 284 | 30 | 9 | 265 | 67 | -1 | +0 | +0 | +0 | +0 | -0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 23 | 21 | 4 | 1 | 0 | 0 | 2 | 7 | 0 | 0 | 0 | 190 | 261 | 238 | 499 | 48 | 286 | 30 | 9 | 265 | 43 | -1 | +0 | +0 | +0 | +0 | -0.0 | |
| / 162G | — | A+C | — | 650 | 593 | 113 | 28 | 0 | 0 | 57 | 198 | 0 | 0 | 0 | 191 | 262 | 238 | 499 | 47 | 286 | 30 | 9 | 265 | 43 | -26 | +0 | +0 | +2 | +14 | -0.9 | |
| Career | — | MLE | — | 691 | 611 | 104 | 19 | 4 | 10 | 65 | 214 | 10 | 14 | 7 | 170 | 261 | 264 | 524 | 93 | 242 | 31 | 9 | 231 | 43 | -5 | +0 | +0 | +0 | +3 | -0.2 | |
| / 162G | — | MLE | — | 650 | 575 | 98 | 18 | 4 | 9 | 61 | 201 | 9 | 13 | 7 | 170 | 260 | 263 | 523 | 92 | 243 | 31 | 9 | 231 | 43 | -26 | +2 | +0 | +2 | +14 | -0.8 | |
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.
2025 ROKACL Royals · 60 PAwOBA .327 → .217 (−111)K% 21.7% → 31.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.67% | ÷0.985 | ×1.440 | — | — | 31.69% |
| BB% (unintentional) /PA | 6.67% | ÷0.971 | ×0.620 | — | ×0.965 | 4.11% |
| HBP% /PA | 3.33% | — | ×0.720 | — | ×0.965 | 2.32% |
| Singles /BIP | 12.20% | ÷1.019 | ×0.820 | — | ×0.965 | 9.47% |
| Doubles /BIP | 14.63% | ÷0.975 | ×0.720 | — | ×0.965 | 10.43% |
| Triples /BIP | 2.44% | ÷1.070 | ×0.720 | — | ×0.965 | 1.58% |
| Home runs /BIP | 2.44% | ÷0.939 | ×0.780 | — | ×0.965 | 1.95% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 104, 2B 95, 3B 114, K 97, BB 94 — 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 .327 → .217; ISO .204 → .134; BABIP .300 → .219. 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).
2024 ROKACL Reds · 126 PAwOBA .366 → .246 (−119)K% 19.0% → 27.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.05% | ÷0.989 | ×1.440 | — | — | 27.73% |
| BB% (unintentional) /PA | 18.25% | ÷1.005 | ×0.620 | — | ×0.975 | 10.98% |
| HBP% /PA | 2.38% | — | ×0.720 | — | ×0.975 | 1.67% |
| Singles /BIP | 17.57% | ÷0.970 | ×0.820 | ×0.965 | ×0.975 | 13.97% |
| Doubles /BIP | 8.11% | ÷1.144 | ×0.720 | ×0.965 | ×0.975 | 4.80% |
| Triples /BIP | 2.70% | ÷1.144 | ×0.720 | ×0.965 | ×0.975 | 1.60% |
| Home runs /BIP | 4.05% | ÷1.063 | ×0.780 | — | ×0.975 | 2.90% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 94, 2B 129, 3B 129, K 98, BB 101 — 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 ×0.965.
Result: wOBA .366 → .246; ISO .194 → .128; BABIP .296 → .210. 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 ROKACL Reds · 70 PAwOBA .422 → .312 (−109)K% 14.3% → 20.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.29% | ÷1.027 | ×1.440 | — | — | 20.04% |
| BB% (unintentional) /PA | 22.86% | ÷1.040 | ×0.620 | — | ×0.985 | 13.42% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.985 | 0.00% |
| Singles /BIP | 32.56% | ÷1.004 | ×0.820 | — | ×0.985 | 26.19% |
| Doubles /BIP | 6.98% | ÷1.038 | ×0.720 | — | ×0.985 | 4.76% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | — | ×0.985 | 0.00% |
| Home runs /BIP | 2.33% | ÷1.059 | ×0.780 | — | ×0.985 | 1.69% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 101, 2B 108, 3B 130, K 105, BB 108 — 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).
Result: wOBA .422 → .312; ISO .113 → .086; BABIP .395 → .308. 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 A+Dayton Dragons · 30 PAwOBA .299 → .250 (−49)K% 20.0% → 26.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷0.975 | ×1.270 | — | — | 26.05% |
| BB% (unintentional) /PA | 16.67% | ÷1.020 | ×0.710 | — | ×1.027 | 11.91% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×1.027 | 0.00% |
| Singles /BIP | 21.05% | ÷0.979 | ×0.920 | — | ×1.027 | 20.31% |
| Doubles /BIP | 0.00% | ÷1.027 | ×0.810 | — | ×1.027 | 0.00% |
| Triples /BIP | 0.00% | ÷0.916 | ×0.850 | — | ×1.027 | 0.00% |
| Home runs /BIP | 5.26% | ÷0.951 | ×0.800 | — | ×1.027 | 4.55% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 90, 1B 96, 2B 105, 3B 83, K 95, BB 104 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).
Result: wOBA .299 → .250; ISO .120 → .102; BABIP .222 → .213. 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 ADaytona Tortugas · 48 PAwOBA .188 → .138 (−50)K% 39.6% → 52.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 39.58% | ÷1.021 | ×1.360 | — | — | 52.75% |
| BB% (unintentional) /PA | 16.67% | ÷0.986 | ×0.690 | — | ×1.030 | 12.02% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.030 | 0.00% |
| Singles /BIP | 19.05% | ÷1.016 | ×0.920 | — | ×1.030 | 17.76% |
| Doubles /BIP | 0.00% | ÷1.028 | ×0.830 | — | ×1.030 | 0.00% |
| Triples /BIP | 0.00% | ÷1.016 | ×0.910 | — | ×1.030 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.883 | ×0.800 | — | ×1.030 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 77, 1B 103, 2B 106, 3B 103, K 104, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).
Result: wOBA .188 → .138; ISO .000 → .000; BABIP .190 → .178. 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 ROKACL Reds · 18 PAwOBA .174 → .115 (−59)K% 27.8% → 39.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.78% | ÷1.005 | ×1.440 | — | — | 39.80% |
| BB% (unintentional) /PA | 11.11% | ÷1.011 | ×0.620 | — | ×0.995 | 6.78% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 18.18% | ÷1.022 | ×0.820 | — | ×0.995 | 14.51% |
| Doubles /BIP | 0.00% | ÷1.035 | ×0.720 | — | ×0.995 | 0.00% |
| Triples /BIP | 0.00% | ÷0.983 | ×0.720 | — | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.970 | ×0.780 | — | ×0.995 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 104, 2B 107, 3B 97, K 101, BB 102 — 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).
Result: wOBA .174 → .115; ISO .000 → .000; BABIP .182 → .145. 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 ROKACL Mariners · 168 PAwOBA .306 → .222 (−84)K% 20.8% → 30.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.83% | ÷0.996 | ×1.440 | — | — | 30.11% |
| BB% (unintentional) /PA | 14.29% | ÷1.024 | ×0.620 | — | ×1.008 | 8.72% |
| HBP% /PA | 1.19% | — | ×0.720 | — | ×1.008 | 0.86% |
| Singles /BIP | 21.90% | ÷0.992 | ×0.820 | ×0.993 | ×1.008 | 18.12% |
| Doubles /BIP | 3.81% | ÷1.030 | ×0.720 | ×0.993 | ×1.008 | 2.67% |
| Triples /BIP | 0.95% | ÷0.904 | ×0.720 | ×0.993 | ×1.008 | 0.76% |
| Home runs /BIP | 2.86% | ÷0.904 | ×0.780 | — | ×1.008 | 2.48% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 98, 2B 106, 3B 81, K 99, BB 105 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.
Result: wOBA .306 → .222; ISO .107 → .084; BABIP .272 → .219. 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 DSLDSL Mariners · 44 PAwOBA .219 → .152 (−67)K% 31.8% → 38.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.82% | ÷1.000 | ×1.220 | — | — | 38.82% |
| BB% (unintentional) /PA | 13.64% | ÷1.000 | ×0.700 | — | ×1.022 | 9.76% |
| HBP% /PA | 2.27% | — | ×0.700 | — | ×1.022 | 1.63% |
| Singles /BIP | 18.18% | ÷1.000 | ×0.680 | — | ×1.022 | 12.64% |
| Doubles /BIP | 4.55% | ÷1.000 | ×0.600 | — | ×1.022 | 2.79% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | — | ×1.022 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×1.022 | 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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).
Result: wOBA .219 → .152; ISO .028 → .017; BABIP .227 → .154. 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).