Mike Ahmed
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 25 | AAA/AA2 orgs | 160 | .270/.367/.438 | 6 | 4 | 66 | — | .209/.285/.298 |
| 2018 | 26 | AAA/AA2 orgs | 265 | .248/.326/.380 | 5 | 1 | 47 | — | .194/.249/.284 |
| 2019 | 27 | AASEA | 238 | .233/.301/.358 | 4 | 6 | 48 | — | .195/.246/.308 |
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) | |||||||||||||||||||||||||||||||
| 2013 | 21 | ROK | AZL Dodgers | — | 176 | 156 | 43 | 11 | 0 | 0 | 19 | 34 | 1 | 4 | 3 | 276 | 358 | 346 | 704 | 71 | 352 | 19 | 11 | 324 | 33 | — | — | — | — | — | — |
| 2014 | 22 | ROK | Ogden Raptors | — | 211 | 179 | 51 | 8 | 4 | 0 | 29 | 37 | 3 | 7 | 1 | 285 | 393 | 374 | 768 | 89 | 359 | 18 | 14 | 353 | 57 | — | — | — | — | — | — |
| 2015 | 23 | A | Great Lakes Loons | — | 515 | 446 | 118 | 21 | 6 | 4 | 62 | 111 | 6 | 24 | 12 | 265 | 362 | 365 | 727 | 101 | 343 | 22 | 12 | 333 | 58 | — | — | — | — | — | — |
| 2016 | 24 | A+ | Rancho Cucamonga Quakes | — | 450 | 385 | 107 | 19 | 4 | 19 | 55 | 110 | 7 | 9 | 8 | 278 | 378 | 496 | 874 | 218 | 340 | 24 | 12 | 384 | 81 | — | — | — | — | — | — |
| 2017 | 25 | AAA | Oklahoma City Dodgers | — | 40 | 31 | 6 | 0 | 0 | 0 | 8 | 7 | 0 | 0 | 0 | 194 | 359 | 194 | 553 | 250 | 18 | 20 | 275 | 42 | — | — | — | — | — | — | |
| 2017 | 25 | AA | Tulsa Drillers | — | 120 | 106 | 31 | 5 | 0 | 6 | 13 | 35 | 0 | 4 | 2 | 292 | 370 | 509 | 879 | 217 | 379 | 29 | 11 | 384 | 74 | — | — | — | — | — | — |
| 2018 | 26 | AAA | Oklahoma City Dodgers | — | 43 | 39 | 9 | 3 | 0 | 0 | 3 | 16 | 1 | 0 | 0 | 231 | 302 | 308 | 610 | 77 | 391 | 37 | 7 | 282 | 20 | — | — | — | — | — | — |
| 2018 | 26 | AA | Tulsa Drillers | — | 222 | 195 | 49 | 9 | 2 | 5 | 20 | 63 | 3 | 1 | 1 | 251 | 330 | 395 | 725 | 144 | 336 | 28 | 9 | 321 | 52 | — | — | — | — | — | — |
| 2019 | 27 | AA | Arkansas Travelers | — | 238 | 215 | 50 | 11 | 2 | 4 | 18 | 76 | 3 | 6 | 1 | 233 | 301 | 358 | 659 | 126 | 338 | 32 | 8 | 295 | 48 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 21 | ROK MLE | AZL Dodgers | — | 176 | 163 | 31 | 7 | 0 | 0 | 12 | 49 | 1 | 4 | 3 | 190 | 250 | 233 | 483 | 43 | 268 | 28 | 7 | 217 | 33 | — | — | — | — | — | — |
| 2014 | 22 | ROK MLE | Ogden Raptors | — | 211 | 191 | 41 | 6 | 3 | 0 | 17 | 53 | 3 | 7 | 1 | 215 | 289 | 277 | 567 | 63 | 293 | 25 | 8 | 252 | 57 | — | — | — | — | — | — |
| 2015 | 23 | A MLE | Great Lakes Loons | — | 515 | 468 | 97 | 16 | 5 | 3 | 40 | 145 | 6 | 24 | 12 | 207 | 278 | 282 | 560 | 75 | 291 | 28 | 8 | 254 | 58 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | Rancho Cucamonga Quakes | — | 450 | 404 | 84 | 15 | 2 | 16 | 36 | 150 | 7 | 9 | 8 | 208 | 284 | 374 | 658 | 166 | 280 | 33 | 8 | 288 | 81 | — | — | — | — | — | — |
| 2017 | 25 | AAA MLE | Oklahoma City Dodgers | — | 40 | 33 | 6 | 0 | 0 | 0 | 6 | 9 | 0 | 0 | 0 | 182 | 308 | 182 | 490 | 238 | 22 | 15 | 231 | 42 | — | — | — | — | — | — | |
| 2017 | 25 | AA MLE | Tulsa Drillers | — | 120 | 110 | 24 | 4 | 0 | 3 | 9 | 45 | 0 | 4 | 2 | 218 | 277 | 336 | 614 | 118 | 331 | 38 | 8 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 26 | AAA MLE | Oklahoma City Dodgers | — | 43 | 41 | 7 | 2 | 0 | 0 | 1 | 21 | 1 | 0 | 0 | 171 | 209 | 220 | 429 | 49 | 345 | 49 | 2 | 198 | 20 | — | — | — | — | — | — |
| 2018 | 26 | AA MLE | Tulsa Drillers | — | 222 | 202 | 40 | 7 | 2 | 3 | 13 | 80 | 3 | 1 | 1 | 198 | 257 | 297 | 554 | 99 | 286 | 36 | 6 | 245 | 52 | — | — | — | — | — | — |
| 2019 | 27 | AA MLE | Arkansas Travelers | — | 238 | 221 | 43 | 9 | 2 | 4 | 12 | 90 | 3 | 6 | 1 | 195 | 246 | 308 | 553 | 113 | 297 | 38 | 5 | 239 | 48 | — | — | — | — | — | — |
| 2013 | 21 | ROK MLE | AZL Dodgers | — | 176 | 163 | 31 | 7 | 0 | 0 | 12 | 49 | 1 | 4 | 3 | 190 | 250 | 233 | 483 | 43 | 272 | 28 | 7 | 217 | 33 | — | — | — | — | — | — |
| 2013 | 21 | ROK RAW | AZL Dodgers | — | 176 | 156 | 43 | 11 | 0 | 0 | 19 | 34 | 1 | 4 | 3 | 276 | 358 | 346 | 704 | 71 | 352 | 19 | 11 | 324 | 33 | — | — | — | — | — | — |
| 2014 | 22 | ROK MLE | Ogden Raptors | — | 211 | 191 | 41 | 6 | 3 | 0 | 17 | 53 | 3 | 7 | 1 | 215 | 289 | 277 | 567 | 63 | 297 | 25 | 8 | 252 | 57 | — | — | — | — | — | — |
| 2014 | 22 | ROK RAW | Ogden Raptors | — | 211 | 179 | 51 | 8 | 4 | 0 | 29 | 37 | 3 | 7 | 1 | 285 | 393 | 374 | 768 | 89 | 359 | 18 | 14 | 353 | 57 | — | — | — | — | — | — |
| 2015 | 23 | A MLE | Great Lakes Loons | — | 515 | 468 | 97 | 16 | 5 | 3 | 40 | 145 | 6 | 24 | 12 | 207 | 278 | 282 | 560 | 75 | 293 | 28 | 8 | 254 | 58 | — | — | — | — | — | — |
| 2015 | 23 | A RAW | Great Lakes Loons | — | 515 | 446 | 118 | 21 | 6 | 4 | 62 | 111 | 6 | 24 | 12 | 265 | 362 | 365 | 727 | 101 | 343 | 22 | 12 | 333 | 58 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | Rancho Cucamonga Quakes | — | 450 | 404 | 84 | 15 | 2 | 16 | 36 | 150 | 7 | 9 | 8 | 208 | 284 | 374 | 658 | 166 | 282 | 33 | 8 | 288 | 81 | — | — | — | — | — | — |
| 2016 | 24 | A+ RAW | Rancho Cucamonga Quakes | — | 450 | 385 | 107 | 19 | 4 | 19 | 55 | 110 | 7 | 9 | 8 | 278 | 378 | 496 | 874 | 218 | 340 | 24 | 12 | 384 | 81 | — | — | — | — | — | — |
| 2017 | 25 | AA MLE | 2 teams | — | 160 | 144 | 30 | 4 | 0 | 3 | 14 | 54 | 0 | 4 | 2 | 208 | 278 | 299 | 577 | 90 | 307 | 34 | 9 | 266 | 66 | — | — | — | — | — | — |
| 2017 | 25 | AA RAW | 2 teams | — | 160 | 137 | 37 | 5 | 0 | 6 | 21 | 42 | 0 | 4 | 2 | 270 | 367 | 438 | 805 | 168 | 344 | 26 | 13 | 357 | 66 | — | — | — | — | — | — |
| 2018 | 26 | AA MLE | 2 teams | — | 265 | 242 | 46 | 9 | 2 | 3 | 15 | 101 | 4 | 1 | 1 | 190 | 249 | 281 | 530 | 91 | 303 | 38 | 6 | 237 | 47 | — | — | — | — | — | — |
| 2018 | 26 | AA RAW | 2 teams | — | 265 | 234 | 58 | 12 | 2 | 5 | 23 | 79 | 4 | 1 | 1 | 248 | 326 | 380 | 706 | 132 | 344 | 30 | 9 | 314 | 47 | — | — | — | — | — | — |
| 2019 | 27 | AA MLE | Arkansas Travelers | — | 238 | 221 | 43 | 9 | 2 | 4 | 12 | 90 | 3 | 6 | 1 | 195 | 246 | 308 | 553 | 113 | 305 | 38 | 5 | 239 | 48 | — | — | — | — | — | — |
| 2019 | 27 | AA RAW | Arkansas Travelers | — | 238 | 215 | 50 | 11 | 2 | 4 | 18 | 76 | 3 | 6 | 1 | 233 | 301 | 358 | 659 | 126 | 338 | 32 | 8 | 295 | 48 | — | — | — | — | — | — |
| 2013 | 21 | ROK MLE | AZL Dodgers | — | 176 | 161 | 31 | 7 | 0 | 0 | 12 | 49 | 1 | 4 | 3 | 193 | 250 | 236 | 486 | 43 | 268 | 28 | 7 | 217 | 33 | — | — | — | — | — | — |
| 2014 | 22 | ROK MLE | Ogden Raptors | — | 211 | 189 | 41 | 6 | 3 | 0 | 17 | 53 | 3 | 7 | 1 | 217 | 289 | 280 | 570 | 63 | 293 | 25 | 8 | 252 | 57 | — | — | — | — | — | — |
| 2015 | 23 | A MLE | Great Lakes Loons | — | 515 | 464 | 97 | 16 | 5 | 3 | 40 | 145 | 6 | 24 | 12 | 209 | 278 | 284 | 563 | 75 | 291 | 28 | 8 | 254 | 58 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | Rancho Cucamonga Quakes | — | 450 | 404 | 84 | 15 | 2 | 16 | 36 | 150 | 7 | 9 | 8 | 208 | 284 | 374 | 658 | 166 | 280 | 33 | 8 | 288 | 81 | — | — | — | — | — | — |
| 2017 | 25 | AA MLE | 2 teams | — | 160 | 145 | 30 | 4 | 0 | 3 | 14 | 54 | 0 | 4 | 2 | 207 | 278 | 297 | 575 | 90 | 308 | 34 | 9 | 266 | 66 | — | — | — | — | — | — |
| 2018 | 26 | AA MLE | 2 teams | — | 265 | 244 | 46 | 9 | 2 | 3 | 15 | 101 | 4 | 1 | 1 | 189 | 249 | 279 | 528 | 90 | 296 | 38 | 6 | 237 | 47 | — | — | — | — | — | — |
| 2019 | 27 | AA MLE | Arkansas Travelers | — | 238 | 221 | 43 | 9 | 2 | 4 | 12 | 90 | 3 | 6 | 1 | 195 | 246 | 308 | 553 | 113 | 297 | 38 | 5 | 239 | 48 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2015 | 1833 | 372 | 66 | 14 | 29 | 146 | 642 | 24 | 55 | 28 | 203 | 271 | 302 | 572 | 99 | 293 | 32 | 7 | 255 | 59 | -99 | -0 | +0 | +7 | +44 | -4.9 | |
| / 162G | — | MLE | — | 650 | 591 | 120 | 21 | 5 | 9 | 47 | 207 | 8 | 18 | 9 | 203 | 271 | 301 | 572 | 98 | 294 | 32 | 7 | 255 | 59 | -32 | +0 | +0 | +2 | +14 | -1.6 | |
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 AAArkansas Travelers · 238 PAwOBA .289 → .239 (−50)K% 31.9% → 37.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.93% | ÷1.031 | ×1.220 | — | — | 37.77% |
| BB% (unintentional) /PA | 7.56% | ÷1.010 | ×0.700 | — | ×0.978 | 5.12% |
| HBP% /PA | 1.26% | — | ×0.870 | — | ×0.978 | 1.07% |
| Singles /BIP | 23.74% | ÷0.966 | ×0.920 | ×0.950 | ×0.978 | 21.00% |
| Doubles /BIP | 7.91% | ÷0.916 | ×0.840 | ×0.950 | ×0.978 | 6.74% |
| Triples /BIP | 1.44% | ÷0.922 | ×0.940 | ×0.950 | ×0.978 | 1.36% |
| Home runs /BIP | 2.88% | ÷0.784 | ×0.800 | — | ×0.978 | 2.87% |
Factors used: league row TL. Park (home-season share, regressed): HR 57, 1B 93, 2B 83, 3B 84, K 106, BB 102 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .289 → .239; ISO .126 → .112; BABIP .338 → .297. 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 · 222 PAwOBA .318 → .245 (−73)K% 28.4% → 35.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.38% | ÷0.964 | ×1.220 | — | — | 35.93% |
| BB% (unintentional) /PA | 9.01% | ÷1.033 | ×0.700 | — | ×0.988 | 6.03% |
| HBP% /PA | 1.35% | — | ×0.870 | — | ×0.988 | 1.16% |
| Singles /BIP | 25.00% | ÷0.987 | ×0.920 | ×0.950 | ×0.988 | 21.88% |
| Doubles /BIP | 6.82% | ÷0.991 | ×0.840 | ×0.950 | ×0.988 | 5.42% |
| Triples /BIP | 1.52% | ÷0.907 | ×0.940 | ×0.950 | ×0.988 | 1.47% |
| Home runs /BIP | 3.79% | ÷1.147 | ×0.800 | — | ×0.988 | 2.61% |
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 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 .318 → .245; ISO .144 → .105; BABIP .336 → .286. 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 AAAOklahoma City Dodgers · 43 PAwOBA .265 → .198 (−67)K% 37.2% → 49.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 37.21% | ÷0.970 | ×1.290 | — | — | 49.51% |
| BB% (unintentional) /PA | 4.65% | ÷1.021 | ×0.710 | — | ×1.018 | 3.29% |
| HBP% /PA | 2.33% | — | ×0.980 | — | ×1.018 | 2.32% |
| Singles /BIP | 26.09% | ÷0.992 | ×0.900 | — | ×1.018 | 24.09% |
| Doubles /BIP | 13.04% | ÷1.029 | ×0.810 | — | ×1.018 | 10.45% |
| Triples /BIP | 0.00% | ÷1.020 | ×0.810 | — | ×1.018 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.020 | ×0.780 | — | ×1.018 | 0.00% |
Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 106, 3B 104, K 94, BB 104 — 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 .265 → .198; ISO .077 → .052; BABIP .391 → .345. 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 · 120 PAwOBA .377 → .278 (−99)K% 29.2% → 37.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.17% | ÷0.955 | ×1.220 | — | — | 37.25% |
| BB% (unintentional) /PA | 10.83% | ÷1.058 | ×0.700 | — | ×0.998 | 7.16% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.998 | 0.00% |
| Singles /BIP | 28.17% | ÷1.005 | ×0.920 | ×1.007 | ×0.998 | 25.92% |
| Doubles /BIP | 7.04% | ÷1.000 | ×0.840 | ×1.007 | ×0.998 | 5.95% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.940 | ×1.007 | ×0.998 | 0.00% |
| Home runs /BIP | 8.45% | ÷1.295 | ×0.800 | — | ×0.998 | 5.21% |
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 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 ×1.007.
Result: wOBA .377 → .278; ISO .217 → .136; BABIP .379 → .331. 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 AAAOklahoma City Dodgers · 40 PAwOBA .270 → .231 (−39)K% 17.5% → 22.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.50% | ÷1.000 | ×1.290 | — | — | 22.58% |
| BB% (unintentional) /PA | 20.00% | ÷1.017 | ×0.710 | — | ×1.033 | 14.42% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.033 | 0.00% |
| Singles /BIP | 25.00% | ÷0.978 | ×0.900 | — | ×1.033 | 23.78% |
| Doubles /BIP | 0.00% | ÷1.038 | ×0.810 | — | ×1.033 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | — | ×1.033 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.989 | ×0.780 | — | ×1.033 | 0.00% |
Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 96, 2B 108, 3B 130, K 100, BB 103 — 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 .270 → .231; ISO .000 → .000; BABIP .250 → .238. 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 A+Rancho Cucamonga Quakes · 450 PAwOBA .375 → .288 (−86)K% 24.4% → 33.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.44% | ÷0.979 | ×1.340 | — | — | 33.45% |
| BB% (unintentional) /PA | 11.78% | ÷1.046 | ×0.710 | — | ×0.988 | 7.90% |
| HBP% /PA | 1.56% | — | ×0.790 | — | ×0.988 | 1.21% |
| Singles /BIP | 23.64% | ÷1.043 | ×0.910 | ×0.972 | ×0.988 | 19.80% |
| Doubles /BIP | 6.91% | ÷0.938 | ×0.820 | ×0.972 | ×0.988 | 5.80% |
| Triples /BIP | 1.45% | ÷1.142 | ×0.760 | ×0.972 | ×0.988 | 0.93% |
| Home runs /BIP | 6.91% | ÷1.003 | ×0.920 | — | ×0.988 | 6.26% |
Factors used: league row CAL. Park (home-season share, regressed): HR 101, 1B 109, 2B 88, 3B 128, K 96, BB 109 — 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 ×0.972.
Result: wOBA .375 → .288; ISO .218 → .177; BABIP .340 → .280. 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 AGreat Lakes Loons · 515 PAwOBA .324 → .254 (−70)K% 21.6% → 28.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.55% | ÷1.039 | ×1.360 | — | — | 28.20% |
| BB% (unintentional) /PA | 11.65% | ÷1.028 | ×0.690 | — | ×0.990 | 7.74% |
| HBP% /PA | 1.17% | — | ×0.780 | — | ×0.990 | 0.90% |
| Singles /BIP | 25.97% | ÷1.028 | ×0.920 | ×0.974 | ×0.990 | 22.42% |
| Doubles /BIP | 6.27% | ÷1.026 | ×0.830 | ×0.974 | ×0.990 | 4.89% |
| Triples /BIP | 1.79% | ÷0.978 | ×0.910 | ×0.974 | ×0.990 | 1.61% |
| Home runs /BIP | 1.19% | ÷0.894 | ×0.800 | — | ×0.990 | 1.06% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 106, 2B 105, 3B 96, K 108, BB 106 — 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 ×0.974.
Result: wOBA .324 → .254; ISO .101 → .082; BABIP .343 → .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).
2014 ROKOgden Raptors · 211 PAwOBA .345 → .252 (−93)K% 17.5% → 25.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.54% | ÷1.000 | ×1.440 | — | — | 25.25% |
| BB% (unintentional) /PA | 13.74% | ÷1.000 | ×0.610 | — | ×0.975 | 8.17% |
| HBP% /PA | 1.42% | — | ×0.720 | — | ×0.975 | 1.00% |
| Singles /BIP | 27.46% | ÷1.000 | ×0.820 | ×1.050 | ×0.975 | 23.06% |
| Doubles /BIP | 5.63% | ÷1.000 | ×0.720 | ×1.050 | ×0.975 | 4.15% |
| Triples /BIP | 2.82% | ÷1.000 | ×0.720 | ×1.050 | ×0.975 | 2.08% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.750 | — | ×0.975 | 0.00% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.
Result: wOBA .345 → .252; ISO .089 → .064; BABIP .359 → .293. 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).