Logan Landon
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 25 | AA/A+2 orgs | 423 | .252/.320/.415 | 13 | 23 | 48 | — | .191/.241/.314 |
| 2019 | 26 | AAA/AA2 orgs | 247 | .216/.293/.329 | 5 | 3 | 31 | — | .170/.228/.257 |
| 2021 | 28 | AAPHI | 86 | .198/.235/.284 | 1 | 1 | 7 | — | .159/.188/.232 |
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 | 22 | A | Great Lakes Loons | — | 62 | 54 | 15 | 1 | 0 | 2 | 5 | 10 | 2 | 4 | 0 | 278 | 361 | 407 | 768 | 130 | 302 | 16 | 8 | 343 | 78 | — | — | — | — | — | — |
| 2015 | 22 | ROK | Ogden Raptors | — | 85 | 74 | 20 | 6 | 1 | 0 | 9 | 9 | 1 | 1 | 0 | 270 | 357 | 378 | 736 | 108 | 303 | 11 | 11 | 331 | 45 | — | — | — | — | — | — |
| 2016 | 23 | A | Great Lakes Loons | — | 456 | 411 | 108 | 21 | 2 | 9 | 39 | 118 | 2 | 22 | 6 | 263 | 330 | 389 | 719 | 127 | 345 | 26 | 9 | 321 | 52 | — | — | — | — | — | — |
| 2017 | 24 | AA | Tulsa Drillers | — | 21 | 21 | 6 | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 286 | 286 | 429 | 714 | 143 | 278 | 10 | 0 | 315 | 53 | — | — | — | — | — | — |
| 2017 | 24 | A+ | Rancho Cucamonga Quakes | — | 67 | 58 | 16 | 4 | 0 | 3 | 8 | 11 | 0 | 5 | 0 | 276 | 364 | 500 | 864 | 224 | 295 | 16 | 12 | 375 | 81 | — | — | — | — | — | — |
| 2018 | 25 | AA | Tulsa Drillers | — | 66 | 64 | 11 | 3 | 0 | 1 | 1 | 26 | 1 | 1 | 0 | 172 | 197 | 266 | 463 | 94 | 270 | 39 | 2 | 208 | -15 | — | — | — | — | — | — |
| 2018 | 25 | A+ | Rancho Cucamonga Quakes | — | 357 | 317 | 85 | 16 | 2 | 12 | 33 | 76 | 3 | 22 | 5 | 268 | 343 | 445 | 788 | 177 | 315 | 21 | 9 | 347 | 60 | — | — | — | — | — | — |
| 2019 | 26 | AAA | Oklahoma City Dodgers | — | 17 | 13 | 2 | 0 | 0 | 0 | 4 | 5 | 0 | 0 | 0 | 154 | 353 | 154 | 507 | 250 | 29 | 24 | 271 | 26 | — | — | — | — | — | — | |
| 2019 | 26 | AA | Tulsa Drillers | — | 230 | 209 | 46 | 8 | 1 | 5 | 18 | 59 | 2 | 3 | 1 | 220 | 288 | 340 | 628 | 120 | 281 | 26 | 8 | 284 | 31 | — | — | — | — | — | — |
| 2021 | 28 | AA | Reading Fightin Phils | — | 86 | 81 | 16 | 4 | 0 | 1 | 3 | 24 | 1 | 1 | 0 | 198 | 235 | 284 | 519 | 86 | 263 | 28 | 3 | 233 | 7 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 22 | A MLE | Great Lakes Loons | — | 62 | 56 | 14 | 1 | 0 | 2 | 3 | 13 | 2 | 4 | 0 | 250 | 311 | 375 | 686 | 125 | 261 | 21 | 5 | 283 | 78 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | Ogden Raptors | — | 85 | 78 | 15 | 4 | 1 | 0 | 5 | 13 | 1 | 1 | 0 | 192 | 250 | 269 | 519 | 77 | 228 | 15 | 6 | 234 | 45 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Great Lakes Loons | — | 456 | 424 | 88 | 16 | 2 | 7 | 26 | 162 | 2 | 22 | 6 | 208 | 257 | 304 | 561 | 97 | 308 | 36 | 6 | 245 | 52 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Tulsa Drillers | — | 21 | 21 | 5 | 0 | 0 | 1 | 0 | 3 | 0 | 1 | 0 | 238 | 238 | 381 | 619 | 143 | 252 | 14 | 0 | 246 | 53 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Rancho Cucamonga Quakes | — | 67 | 61 | 14 | 3 | 0 | 3 | 5 | 15 | 0 | 5 | 0 | 230 | 288 | 426 | 714 | 197 | 246 | 22 | 7 | 288 | 81 | — | — | — | — | — | — |
| 2018 | 25 | AA MLE | Tulsa Drillers | — | 66 | 64 | 8 | 2 | 0 | 1 | 1 | 33 | 1 | 1 | 0 | 125 | 152 | 203 | 355 | 78 | 243 | 50 | 2 | 146 | -15 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | Rancho Cucamonga Quakes | — | 357 | 329 | 67 | 11 | 1 | 10 | 21 | 106 | 3 | 22 | 5 | 204 | 258 | 334 | 592 | 131 | 260 | 30 | 6 | 257 | 60 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | Oklahoma City Dodgers | — | 17 | 14 | 2 | 0 | 0 | 0 | 3 | 6 | 0 | 0 | 0 | 143 | 294 | 143 | 437 | 219 | 35 | 18 | 206 | 26 | — | — | — | — | — | — | |
| 2019 | 26 | AA MLE | Tulsa Drillers | — | 230 | 215 | 37 | 6 | 1 | 4 | 12 | 75 | 2 | 3 | 1 | 172 | 223 | 265 | 488 | 93 | 236 | 33 | 5 | 214 | 31 | — | — | — | — | — | — |
| 2021 | 28 | AA MLE | Reading Fightin Phils | — | 86 | 82 | 13 | 3 | 0 | 1 | 2 | 30 | 1 | 1 | 0 | 159 | 188 | 232 | 420 | 73 | 230 | 35 | 2 | 178 | 7 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | 2 teams | — | 147 | 133 | 29 | 5 | 1 | 2 | 9 | 26 | 3 | 5 | 0 | 218 | 283 | 316 | 599 | 98 | 252 | 18 | 6 | 255 | 59 | — | — | — | — | — | — |
| 2015 | 22 | ROK RAW | 2 teams | — | 147 | 128 | 35 | 7 | 1 | 2 | 14 | 19 | 3 | 5 | 0 | 273 | 359 | 391 | 749 | 117 | 303 | 13 | 10 | 336 | 59 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Great Lakes Loons | — | 456 | 424 | 88 | 16 | 2 | 7 | 26 | 162 | 2 | 22 | 6 | 208 | 257 | 304 | 561 | 97 | 314 | 36 | 6 | 245 | 52 | — | — | — | — | — | — |
| 2016 | 23 | A RAW | Great Lakes Loons | — | 456 | 411 | 108 | 21 | 2 | 9 | 39 | 118 | 2 | 22 | 6 | 263 | 330 | 389 | 719 | 127 | 345 | 26 | 9 | 321 | 52 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | 2 teams | — | 88 | 82 | 18 | 3 | 0 | 3 | 5 | 17 | 0 | 6 | 0 | 220 | 264 | 366 | 630 | 146 | 242 | 19 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2017 | 24 | A+ RAW | 2 teams | — | 88 | 79 | 22 | 4 | 0 | 4 | 8 | 13 | 0 | 6 | 0 | 278 | 345 | 481 | 826 | 203 | 290 | 15 | 9 | 360 | 74 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | 2 teams | — | 423 | 393 | 74 | 13 | 1 | 10 | 22 | 139 | 4 | 23 | 5 | 188 | 239 | 303 | 541 | 115 | 259 | 33 | 5 | 240 | 48 | — | — | — | — | — | — |
| 2018 | 25 | A+ RAW | 2 teams | — | 423 | 381 | 96 | 19 | 2 | 13 | 34 | 102 | 4 | 23 | 5 | 252 | 320 | 415 | 735 | 163 | 309 | 24 | 8 | 325 | 48 | — | — | — | — | — | — |
| 2019 | 26 | AA MLE | 2 teams | — | 247 | 229 | 39 | 6 | 1 | 4 | 15 | 82 | 2 | 3 | 1 | 170 | 228 | 258 | 485 | 87 | 243 | 33 | 6 | 213 | 31 | — | — | — | — | — | — |
| 2019 | 26 | AA RAW | 2 teams | — | 247 | 222 | 48 | 8 | 1 | 5 | 22 | 64 | 2 | 3 | 1 | 216 | 293 | 329 | 622 | 113 | 279 | 26 | 9 | 283 | 31 | — | — | — | — | — | — |
| 2021 | 28 | AA MLE | Reading Fightin Phils | — | 86 | 82 | 13 | 3 | 0 | 1 | 2 | 30 | 1 | 1 | 0 | 159 | 188 | 232 | 420 | 73 | 231 | 35 | 2 | 178 | 7 | — | — | — | — | — | — |
| 2021 | 28 | AA RAW | Reading Fightin Phils | — | 86 | 81 | 16 | 4 | 0 | 1 | 3 | 24 | 1 | 1 | 0 | 198 | 235 | 284 | 519 | 86 | 263 | 28 | 3 | 233 | 7 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | 2 teams | — | 147 | 134 | 29 | 5 | 1 | 2 | 9 | 26 | 3 | 5 | 0 | 216 | 283 | 313 | 596 | 97 | 242 | 18 | 6 | 255 | 59 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Great Lakes Loons | — | 456 | 425 | 88 | 16 | 2 | 7 | 26 | 162 | 2 | 22 | 6 | 207 | 257 | 304 | 560 | 96 | 308 | 36 | 6 | 245 | 52 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | 2 teams | — | 88 | 83 | 18 | 3 | 0 | 3 | 5 | 17 | 0 | 6 | 0 | 217 | 264 | 361 | 626 | 145 | 247 | 19 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | 2 teams | — | 423 | 394 | 74 | 13 | 1 | 10 | 22 | 139 | 4 | 23 | 5 | 188 | 239 | 302 | 541 | 114 | 257 | 33 | 5 | 240 | 48 | — | — | — | — | — | — |
| 2019 | 26 | AA MLE | 2 teams | — | 247 | 228 | 39 | 6 | 1 | 4 | 15 | 82 | 2 | 3 | 1 | 171 | 228 | 259 | 486 | 88 | 235 | 33 | 6 | 213 | 31 | — | — | — | — | — | — |
| 2021 | 28 | AA MLE | Reading Fightin Phils | — | 86 | 83 | 13 | 3 | 0 | 1 | 2 | 30 | 1 | 1 | 0 | 157 | 188 | 229 | 417 | 72 | 230 | 35 | 2 | 178 | 7 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1447 | 1343 | 261 | 46 | 5 | 27 | 79 | 456 | 12 | 60 | 12 | 194 | 245 | 296 | 542 | 102 | 269 | 32 | 5 | 237 | 47 | -92 | +7 | +0 | +5 | +31 | -4.9 | |
| / 162G | — | MLE | — | 650 | 603 | 117 | 21 | 2 | 12 | 35 | 205 | 5 | 27 | 5 | 194 | 243 | 295 | 539 | 101 | 269 | 32 | 5 | 237 | 47 | -41 | +3 | +0 | +2 | +14 | -2.2 | |
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.
2021 AAReading Fightin Phils · 86 PAwOBA .229 → .178 (−51)K% 27.9% → 34.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.91% | ÷0.985 | ×1.220 | — | — | 34.56% |
| BB% (unintentional) /PA | 3.49% | ÷0.989 | ×0.690 | — | ×0.968 | 2.36% |
| HBP% /PA | 1.16% | — | ×0.850 | — | ×0.968 | 0.96% |
| Singles /BIP | 19.30% | ÷0.989 | ×0.940 | ×0.981 | ×0.968 | 17.41% |
| Doubles /BIP | 7.02% | ÷0.993 | ×0.870 | ×0.981 | ×0.968 | 5.84% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×0.981 | ×0.968 | 0.00% |
| Home runs /BIP | 1.75% | ÷1.344 | ×0.780 | — | ×0.968 | 0.99% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 169, 1B 98, 2B 99, 3B 130, K 97, BB 98 — 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 ×0.981.
Result: wOBA .229 → .178; ISO .086 → .058; BABIP .263 → .230. 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 AATulsa Drillers · 230 PAwOBA .278 → .214 (−64)K% 25.7% → 32.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.65% | ÷0.954 | ×1.220 | — | — | 32.82% |
| BB% (unintentional) /PA | 7.83% | ÷1.063 | ×0.700 | — | ×0.988 | 5.09% |
| HBP% /PA | 0.87% | — | ×0.870 | — | ×0.988 | 0.75% |
| Singles /BIP | 21.33% | ÷0.997 | ×0.920 | ×0.950 | ×0.988 | 18.47% |
| Doubles /BIP | 5.33% | ÷1.048 | ×0.840 | ×0.950 | ×0.988 | 4.01% |
| Triples /BIP | 0.67% | ÷0.925 | ×0.940 | ×0.950 | ×0.988 | 0.64% |
| Home runs /BIP | 3.33% | ÷0.909 | ×0.800 | — | ×0.988 | 2.90% |
Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 99, 2B 110, 3B 85, K 91, BB 113 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .278 → .214; ISO .120 → .094; BABIP .281 → .236. 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 AAAOklahoma City Dodgers · 17 PAwOBA .266 → .206 (−60)K% 29.4% → 37.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.41% | ÷1.014 | ×1.290 | — | — | 37.41% |
| BB% (unintentional) /PA | 23.53% | ÷0.993 | ×0.710 | — | ×1.018 | 17.12% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.018 | 0.00% |
| Singles /BIP | 25.00% | ÷1.048 | ×0.900 | — | ×1.018 | 21.87% |
| Doubles /BIP | 0.00% | ÷1.012 | ×0.810 | — | ×1.018 | 0.00% |
| Triples /BIP | 0.00% | ÷1.045 | ×0.810 | — | ×1.018 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.073 | ×0.780 | — | ×1.018 | 0.00% |
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 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).
Result: wOBA .266 → .206; ISO .000 → .000; BABIP .250 → .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).
2018 A+Rancho Cucamonga Quakes · 357 PAwOBA .340 → .257 (−83)K% 21.3% → 29.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.29% | ÷0.957 | ×1.340 | — | — | 29.82% |
| BB% (unintentional) /PA | 9.24% | ÷1.066 | ×0.710 | — | ×0.978 | 6.02% |
| HBP% /PA | 0.84% | — | ×0.790 | — | ×0.978 | 0.65% |
| Singles /BIP | 22.82% | ÷1.025 | ×0.910 | ×0.996 | ×0.978 | 19.74% |
| Doubles /BIP | 6.64% | ÷1.076 | ×0.820 | ×0.996 | ×0.978 | 4.93% |
| Triples /BIP | 0.83% | ÷1.150 | ×0.760 | ×0.996 | ×0.978 | 0.53% |
| Home runs /BIP | 4.98% | ÷1.058 | ×0.920 | — | ×0.978 | 4.24% |
Factors used: league row CAL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 130, K 91, BB 113 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.
Result: wOBA .340 → .257; ISO .177 → .134; BABIP .315 → .260. 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 AATulsa Drillers · 66 PAwOBA .202 → .146 (−56)K% 39.4% → 49.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 39.39% | ÷0.964 | ×1.220 | — | — | 49.88% |
| BB% (unintentional) /PA | 1.52% | ÷1.033 | ×0.700 | — | ×0.998 | 1.02% |
| HBP% /PA | 1.52% | — | ×0.870 | — | ×0.998 | 1.32% |
| Singles /BIP | 18.42% | ÷0.987 | ×0.920 | — | ×0.998 | 17.14% |
| Doubles /BIP | 7.89% | ÷0.991 | ×0.840 | — | ×0.998 | 6.68% |
| Triples /BIP | 0.00% | ÷0.907 | ×0.940 | — | ×0.998 | 0.00% |
| Home runs /BIP | 2.63% | ÷1.147 | ×0.800 | — | ×0.998 | 1.83% |
Factors used: league row TL. Park (home-season share, regressed): HR 129, 1B 97, 2B 98, 3B 81, K 93, BB 107 — 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).
Result: wOBA .202 → .146; ISO .094 → .060; BABIP .270 → .243. 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 A+Rancho Cucamonga Quakes · 67 PAwOBA .365 → .288 (−77)K% 16.4% → 22.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.42% | ÷0.990 | ×1.340 | — | — | 22.23% |
| BB% (unintentional) /PA | 11.94% | ÷1.099 | ×0.710 | — | ×0.988 | 7.62% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×0.988 | 0.00% |
| Singles /BIP | 19.15% | ÷1.006 | ×0.910 | ×0.985 | ×0.988 | 16.86% |
| Doubles /BIP | 8.51% | ÷1.064 | ×0.820 | ×0.985 | ×0.988 | 6.38% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.760 | ×0.985 | ×0.988 | 0.00% |
| Home runs /BIP | 6.38% | ÷1.085 | ×0.920 | — | ×0.988 | 5.35% |
Factors used: league row CAL. Park (home-season share, regressed): HR 117, 1B 101, 2B 113, 3B 130, K 98, BB 120 — 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 ×0.985.
Result: wOBA .365 → .288; ISO .224 → .182; BABIP .295 → .246. 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 AATulsa Drillers · 21 PAwOBA .305 → .246 (−59)K% 9.5% → 12.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.52% | ÷0.955 | ×1.220 | — | — | 12.16% |
| BB% (unintentional) /PA | 0.00% | ÷1.058 | ×0.700 | — | ×1.012 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×1.012 | 0.00% |
| Singles /BIP | 26.32% | ÷1.005 | ×0.920 | — | ×1.012 | 24.38% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.840 | — | ×1.012 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.940 | — | ×1.012 | 0.00% |
| Home runs /BIP | 5.26% | ÷1.295 | ×0.800 | — | ×1.012 | 3.29% |
Factors used: league row TL. Park (home-season share, regressed): HR 159, 1B 101, 2B 100, 3B 130, K 91, BB 112 — 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).
Result: wOBA .305 → .246; ISO .143 → .087; BABIP .278 → .252. 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 AGreat Lakes Loons · 456 PAwOBA .314 → .245 (−69)K% 25.9% → 35.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.88% | ÷0.990 | ×1.360 | — | — | 35.53% |
| BB% (unintentional) /PA | 8.33% | ÷1.011 | ×0.690 | — | ×0.990 | 5.63% |
| HBP% /PA | 0.44% | — | ×0.780 | — | ×0.990 | 0.34% |
| Singles /BIP | 25.94% | ÷0.977 | ×0.920 | ×0.980 | ×0.990 | 23.68% |
| Doubles /BIP | 7.17% | ÷0.961 | ×0.830 | ×0.980 | ×0.990 | 6.00% |
| Triples /BIP | 0.68% | ÷0.900 | ×0.910 | ×0.980 | ×0.990 | 0.67% |
| Home runs /BIP | 3.07% | ÷0.960 | ×0.800 | — | ×0.990 | 2.53% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 95, 2B 92, 3B 80, K 98, BB 102 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.
Result: wOBA .314 → .245; ISO .127 → .097; BABIP .345 → .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).