Daniel Fields
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2014 | 23 | AAA/AA/INTL2 orgs | 390 | .229/.303/.350 | 7 | 13 | 66 | — | .211/.260/.331 |
| 2015 | 24 | AAADET | 526 | .228/.337/.367 | 7 | 17 | 62 | — | .196/.273/.311 |
| 2016 | 25 | AAA/A2 orgs | 188 | .223/.310/.301 | 2 | 6 | 26 | — | .168/.230/.225 |
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) | |||||||||||||||||||||||||||||||
| 2010 | 19 | A+ | Lakeland Flying Tigers | — | 438 | 375 | 90 | 13 | 6 | 8 | 55 | 119 | 5 | 8 | 9 | 240 | 345 | 371 | 715 | 131 | 328 | 27 | 13 | 324 | 56 | — | — | — | — | — | — |
| 2011 | 20 | A+ | Lakeland Flying Tigers | — | 495 | 432 | 95 | 14 | 4 | 8 | 49 | 133 | 7 | 4 | 4 | 220 | 309 | 326 | 636 | 106 | 297 | 27 | 10 | 289 | 37 | — | — | — | — | — | — |
| 2012 | 21 | AA | Erie SeaWolves | — | 122 | 106 | 28 | 4 | 0 | 2 | 13 | 21 | 2 | 9 | 1 | 264 | 355 | 358 | 714 | 94 | 310 | 17 | 11 | 326 | 76 | — | — | — | — | — | — |
| 2012 | 21 | A+ | Lakeland Flying Tigers | — | 267 | 244 | 65 | 11 | 4 | 1 | 19 | 55 | 1 | 14 | 7 | 266 | 322 | 357 | 679 | 90 | 335 | 21 | 7 | 303 | 54 | — | — | — | — | — | — |
| 2013 | 22 | AA | Erie SeaWolves | — | 515 | 457 | 130 | 27 | 6 | 10 | 45 | 130 | 8 | 24 | 7 | 284 | 359 | 435 | 794 | 151 | 374 | 25 | 9 | 352 | 99 | — | — | — | — | — | — |
| 2014 | 23 | AAA | Toledo Mud Hens | — | 299 | 274 | 60 | 10 | 3 | 6 | 15 | 76 | 6 | 8 | 2 | 219 | 275 | 343 | 618 | 124 | 278 | 25 | 5 | 275 | 52 | — | — | — | — | — | — |
| 2014 | 23 | AA | Erie SeaWolves | — | 35 | 28 | 8 | 3 | 1 | 0 | 6 | 7 | 1 | 2 | 0 | 286 | 429 | 464 | 893 | 179 | 381 | 20 | 17 | 400 | 118 | — | — | — | — | — | — |
| 2014 | 23 | INTL | Glendale Desert Dogs | — | 56 | 47 | 12 | 0 | 0 | 1 | 6 | 15 | 3 | 3 | 2 | 255 | 375 | 319 | 694 | 64 | 355 | 27 | 11 | 329 | 109 | — | — | — | — | — | — |
| 2015 | 24 | AAA | Toledo Mud Hens | — | 526 | 447 | 102 | 25 | 8 | 7 | 66 | 146 | 7 | 17 | 7 | 228 | 337 | 367 | 703 | 139 | 320 | 28 | 13 | 317 | 62 | — | — | — | — | — | — |
| 2016 | 25 | AAA | Oklahoma City Dodgers | — | 169 | 148 | 33 | 3 | 2 | 1 | 20 | 65 | 0 | 6 | 2 | 223 | 315 | 291 | 606 | 68 | 386 | 38 | 12 | 281 | 26 | — | — | — | — | — | — |
| 2016 | 25 | A | Great Lakes Loons | — | 19 | 18 | 4 | 0 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 222 | 263 | 389 | 652 | 167 | 273 | 32 | 5 | 289 | 24 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2010 | 19 | A+ MLE | Lakeland Flying Tigers | — | 438 | 388 | 70 | 10 | 4 | 8 | 42 | 175 | 5 | 8 | 9 | 180 | 269 | 289 | 558 | 108 | 292 | 40 | 10 | 251 | 56 | — | — | — | — | — | — |
| 2011 | 20 | A+ MLE | Lakeland Flying Tigers | — | 495 | 445 | 75 | 12 | 2 | 6 | 36 | 199 | 7 | 4 | 4 | 169 | 242 | 245 | 487 | 76 | 279 | 40 | 7 | 223 | 37 | — | — | — | — | — | — |
| 2012 | 21 | AA MLE | Erie SeaWolves | — | 122 | 110 | 26 | 3 | 0 | 1 | 9 | 27 | 2 | 9 | 1 | 236 | 306 | 291 | 597 | 55 | 305 | 22 | 7 | 281 | 76 | — | — | — | — | — | — |
| 2012 | 21 | A+ MLE | Lakeland Flying Tigers | — | 267 | 249 | 55 | 10 | 3 | 1 | 14 | 78 | 1 | 14 | 7 | 221 | 265 | 297 | 562 | 76 | 307 | 29 | 5 | 248 | 54 | — | — | — | — | — | — |
| 2013 | 22 | AA MLE | Erie SeaWolves | — | 515 | 472 | 127 | 25 | 7 | 8 | 30 | 158 | 8 | 24 | 7 | 269 | 324 | 403 | 726 | 133 | 376 | 31 | 6 | 314 | 99 | — | — | — | — | — | — |
| 2014 | 23 | AAA MLE | Toledo Mud Hens | — | 299 | 279 | 57 | 8 | 3 | 6 | 10 | 90 | 6 | 8 | 2 | 204 | 247 | 319 | 566 | 115 | 270 | 30 | 3 | 245 | 52 | — | — | — | — | — | — |
| 2014 | 23 | AA MLE | Erie SeaWolves | — | 35 | 30 | 8 | 3 | 1 | 0 | 4 | 8 | 1 | 2 | 0 | 267 | 371 | 433 | 805 | 167 | 356 | 23 | 11 | 343 | 118 | — | — | — | — | — | — |
| 2015 | 24 | AAA MLE | Toledo Mud Hens | — | 526 | 470 | 92 | 19 | 7 | 7 | 43 | 175 | 7 | 17 | 7 | 196 | 273 | 311 | 584 | 115 | 288 | 33 | 8 | 260 | 62 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | Oklahoma City Dodgers | — | 169 | 155 | 26 | 2 | 1 | 1 | 13 | 86 | 0 | 6 | 2 | 168 | 232 | 213 | 445 | 45 | 363 | 51 | 8 | 207 | 26 | — | — | — | — | — | — |
| 2016 | 25 | A MLE | Great Lakes Loons | — | 19 | 18 | 3 | 0 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 167 | 211 | 333 | 544 | 167 | 245 | 42 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2010 | 19 | A+ MLE | Lakeland Flying Tigers | — | 438 | 388 | 70 | 10 | 4 | 8 | 42 | 175 | 5 | 8 | 9 | 180 | 269 | 289 | 558 | 108 | 300 | 40 | 10 | 251 | 56 | — | — | — | — | — | — |
| 2010 | 19 | A+ RAW | Lakeland Flying Tigers | — | 438 | 375 | 90 | 13 | 6 | 8 | 55 | 119 | 5 | 8 | 9 | 240 | 345 | 371 | 715 | 131 | 328 | 27 | 13 | 324 | 56 | — | — | — | — | — | — |
| 2011 | 20 | A+ MLE | Lakeland Flying Tigers | — | 495 | 445 | 75 | 12 | 2 | 6 | 36 | 199 | 7 | 4 | 4 | 169 | 242 | 245 | 487 | 76 | 285 | 40 | 7 | 223 | 37 | — | — | — | — | — | — |
| 2011 | 20 | A+ RAW | Lakeland Flying Tigers | — | 495 | 432 | 95 | 14 | 4 | 8 | 49 | 133 | 7 | 4 | 4 | 220 | 309 | 326 | 636 | 106 | 297 | 27 | 10 | 289 | 37 | — | — | — | — | — | — |
| 2012 | 21 | A+ MLE | 2 teams | — | 389 | 358 | 82 | 14 | 3 | 2 | 24 | 105 | 3 | 23 | 8 | 229 | 283 | 302 | 585 | 73 | 314 | 27 | 6 | 258 | 61 | — | — | — | — | — | — |
| 2012 | 21 | A+ RAW | 2 teams | — | 389 | 350 | 93 | 15 | 4 | 3 | 32 | 76 | 3 | 23 | 8 | 266 | 332 | 357 | 690 | 91 | 327 | 20 | 8 | 310 | 61 | — | — | — | — | — | — |
| 2013 | 22 | AA MLE | Erie SeaWolves | — | 515 | 472 | 127 | 25 | 7 | 8 | 30 | 158 | 8 | 24 | 7 | 269 | 324 | 403 | 726 | 133 | 384 | 31 | 6 | 314 | 99 | — | — | — | — | — | — |
| 2013 | 22 | AA RAW | Erie SeaWolves | — | 515 | 457 | 130 | 27 | 6 | 10 | 45 | 130 | 8 | 24 | 7 | 284 | 359 | 435 | 794 | 151 | 374 | 25 | 9 | 352 | 99 | — | — | — | — | — | — |
| 2014 | 23 | AAA MLE | 3 teams | — | 390 | 359 | 75 | 13 | 4 | 7 | 17 | 115 | 10 | 13 | 4 | 209 | 264 | 326 | 590 | 117 | 285 | 29 | 4 | 255 | 59 | — | — | — | — | — | — |
| 2014 | 23 | AAA RAW | 3 teams | — | 390 | 349 | 80 | 13 | 4 | 7 | 27 | 98 | 10 | 13 | 4 | 229 | 303 | 350 | 653 | 120 | 297 | 25 | 7 | 294 | 59 | — | — | — | — | — | — |
| 2015 | 24 | AAA MLE | Toledo Mud Hens | — | 526 | 470 | 92 | 19 | 7 | 7 | 43 | 175 | 7 | 17 | 7 | 196 | 273 | 311 | 584 | 115 | 292 | 33 | 8 | 260 | 62 | — | — | — | — | — | — |
| 2015 | 24 | AAA RAW | Toledo Mud Hens | — | 526 | 447 | 102 | 25 | 8 | 7 | 66 | 146 | 7 | 17 | 7 | 228 | 337 | 367 | 703 | 139 | 320 | 28 | 13 | 317 | 62 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | 2 teams | — | 188 | 173 | 28 | 2 | 1 | 1 | 14 | 94 | 0 | 6 | 2 | 162 | 225 | 202 | 427 | 40 | 342 | 50 | 7 | 207 | 26 | — | — | — | — | — | — |
| 2016 | 25 | AAA RAW | 2 teams | — | 188 | 166 | 37 | 3 | 2 | 2 | 21 | 71 | 0 | 6 | 2 | 223 | 310 | 301 | 611 | 78 | 372 | 38 | 11 | 282 | 26 | — | — | — | — | — | — |
| 2010 | 19 | A+ MLE | Lakeland Flying Tigers | — | 438 | 388 | 70 | 10 | 4 | 8 | 42 | 175 | 5 | 8 | 9 | 180 | 269 | 289 | 558 | 108 | 292 | 40 | 10 | 251 | 56 | — | — | — | — | — | — |
| 2011 | 20 | A+ MLE | Lakeland Flying Tigers | — | 495 | 449 | 75 | 12 | 2 | 6 | 36 | 199 | 7 | 4 | 4 | 167 | 242 | 243 | 485 | 76 | 279 | 40 | 7 | 223 | 37 | — | — | — | — | — | — |
| 2012 | 21 | A+ MLE | 2 teams | — | 389 | 359 | 82 | 14 | 3 | 2 | 24 | 105 | 3 | 23 | 8 | 228 | 283 | 301 | 584 | 72 | 306 | 27 | 6 | 258 | 61 | — | — | — | — | — | — |
| 2013 | 22 | AA MLE | Erie SeaWolves | — | 515 | 472 | 127 | 25 | 7 | 8 | 30 | 158 | 8 | 24 | 7 | 269 | 324 | 403 | 726 | 133 | 376 | 31 | 6 | 314 | 99 | — | — | — | — | — | — |
| 2014 | 23 | AAA MLE | 3 teams | — | 390 | 360 | 75 | 13 | 4 | 7 | 17 | 115 | 10 | 13 | 4 | 208 | 264 | 325 | 589 | 117 | 279 | 29 | 4 | 255 | 59 | — | — | — | — | — | — |
| 2015 | 24 | AAA MLE | Toledo Mud Hens | — | 526 | 471 | 92 | 19 | 7 | 7 | 43 | 175 | 7 | 17 | 7 | 195 | 273 | 310 | 583 | 115 | 288 | 33 | 8 | 260 | 62 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | 2 teams | — | 188 | 172 | 28 | 2 | 1 | 1 | 14 | 94 | 0 | 6 | 2 | 163 | 225 | 203 | 428 | 41 | 351 | 50 | 7 | 207 | 26 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2941 | 2665 | 549 | 95 | 28 | 39 | 206 | 1021 | 40 | 95 | 41 | 206 | 273 | 307 | 580 | 101 | 314 | 35 | 7 | 258 | 61 | -138 | +3 | -2 | -32 | +64 | -10.7 | |
| / 162G | — | MLE | — | 650 | 589 | 122 | 21 | 6 | 9 | 46 | 226 | 9 | 21 | 9 | 207 | 275 | 309 | 584 | 102 | 316 | 35 | 7 | 258 | 61 | -31 | +1 | -0 | -7 | +14 | -2.4 | |
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.
2016 AAAOklahoma City Dodgers · 169 PAwOBA .274 → .207 (−67)K% 38.5% → 51.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 38.46% | ÷0.972 | ×1.290 | — | — | 51.02% |
| BB% (unintentional) /PA | 11.24% | ÷1.059 | ×0.710 | — | ×1.033 | 7.79% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.033 | 0.00% |
| Singles /BIP | 32.53% | ÷1.017 | ×0.900 | ×1.050 | ×1.033 | 31.23% |
| Doubles /BIP | 3.61% | ÷0.975 | ×0.810 | ×1.050 | ×1.033 | 3.26% |
| Triples /BIP | 2.41% | ÷1.104 | ×0.810 | ×1.050 | ×1.033 | 1.92% |
| Home runs /BIP | 1.20% | ÷0.947 | ×0.780 | — | ×1.033 | 1.03% |
Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .274 → .207; ISO .068 → .048; BABIP .386 → .363. 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 · 19 PAwOBA .281 → .203 (−78)K% 31.6% → 43.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.58% | ÷0.990 | ×1.360 | — | — | 43.36% |
| BB% (unintentional) /PA | 5.26% | ÷1.011 | ×0.690 | — | ×0.970 | 3.48% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.970 | 0.00% |
| Singles /BIP | 25.00% | ÷0.977 | ×0.920 | — | ×0.970 | 22.83% |
| Doubles /BIP | 0.00% | ÷0.961 | ×0.830 | — | ×0.970 | 0.00% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | — | ×0.970 | 0.00% |
| Home runs /BIP | 8.33% | ÷0.960 | ×0.800 | — | ×0.970 | 6.74% |
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 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average).
Result: wOBA .281 → .203; ISO .167 → .113; BABIP .273 → .245. 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 AAAToledo Mud Hens · 526 PAwOBA .310 → .260 (−50)K% 27.8% → 33.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.76% | ÷1.000 | ×1.200 | — | — | 33.32% |
| BB% (unintentional) /PA | 12.17% | ÷1.085 | ×0.690 | — | ×1.048 | 8.11% |
| HBP% /PA | 1.33% | — | ×0.940 | — | ×1.048 | 1.31% |
| Singles /BIP | 20.60% | ÷0.988 | ×0.930 | ×0.970 | ×1.048 | 19.70% |
| Doubles /BIP | 8.31% | ÷1.083 | ×0.830 | ×0.970 | ×1.048 | 6.47% |
| Triples /BIP | 2.66% | ÷1.150 | ×0.970 | ×0.970 | ×1.048 | 2.28% |
| Home runs /BIP | 2.33% | ÷0.911 | ×0.840 | — | ×1.048 | 2.25% |
Factors used: league row IL. Park (home-season share, regressed): HR 82, 1B 98, 2B 117, 3B 130, K 100, BB 117 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.
Result: wOBA .310 → .260; ISO .139 → .120; BABIP .320 → .288. 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 AAAToledo Mud Hens · 299 PAwOBA .269 → .245 (−24)K% 25.4% → 30.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.42% | ÷1.017 | ×1.200 | — | — | 29.98% |
| BB% (unintentional) /PA | 5.02% | ÷1.053 | ×0.690 | — | ×1.050 | 3.45% |
| HBP% /PA | 2.01% | — | ×0.940 | — | ×1.050 | 1.98% |
| Singles /BIP | 20.71% | ÷0.999 | ×0.930 | ×1.018 | ×1.050 | 20.61% |
| Doubles /BIP | 5.05% | ÷1.031 | ×0.830 | ×1.018 | ×1.050 | 4.35% |
| Triples /BIP | 1.52% | ÷1.049 | ×0.970 | ×1.018 | ×1.050 | 1.50% |
| Home runs /BIP | 3.03% | ÷0.899 | ×0.840 | — | ×1.050 | 2.97% |
Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 106, 3B 110, K 103, BB 111 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.
Result: wOBA .269 → .245; ISO .124 → .115; BABIP .278 → .270. 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 AAErie SeaWolves · 35 PAwOBA .391 → .343 (−48)K% 20.0% → 23.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷1.020 | ×1.220 | — | — | 23.93% |
| BB% (unintentional) /PA | 17.14% | ÷0.981 | ×0.700 | — | ×1.027 | 12.56% |
| HBP% /PA | 2.86% | — | ×0.850 | — | ×1.027 | 2.49% |
| Singles /BIP | 19.05% | ÷1.042 | ×0.970 | — | ×1.027 | 18.22% |
| Doubles /BIP | 14.29% | ÷0.945 | ×0.860 | — | ×1.027 | 13.35% |
| Triples /BIP | 4.76% | ÷1.150 | ×0.950 | — | ×1.027 | 4.04% |
| Home runs /BIP | 0.00% | ÷0.975 | ×0.780 | — | ×1.027 | 0.00% |
Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 108, 2B 89, 3B 130, K 104, BB 96 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).
Result: wOBA .391 → .343; ISO .179 → .163; BABIP .381 → .356. 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).
2013 AAErie SeaWolves · 515 PAwOBA .344 → .314 (−30)K% 25.2% → 30.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.24% | ÷1.004 | ×1.220 | — | — | 30.68% |
| BB% (unintentional) /PA | 8.35% | ÷1.034 | ×0.700 | — | ×1.042 | 5.89% |
| HBP% /PA | 1.55% | — | ×0.850 | — | ×1.042 | 1.38% |
| Singles /BIP | 26.61% | ÷0.998 | ×0.970 | ×1.013 | ×1.042 | 27.30% |
| Doubles /BIP | 8.26% | ÷0.965 | ×0.860 | ×1.013 | ×1.042 | 7.77% |
| Triples /BIP | 1.83% | ÷0.902 | ×0.950 | ×1.013 | ×1.042 | 2.04% |
| Home runs /BIP | 3.06% | ÷1.020 | ×0.780 | — | ×1.042 | 2.44% |
Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 100, 2B 93, 3B 80, K 101, BB 107 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .344 → .314; ISO .151 → .134; BABIP .374 → .376. 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).
2012 A+Lakeland Flying Tigers · 267 PAwOBA .297 → .248 (−50)K% 20.6% → 29.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.60% | ÷1.004 | ×1.420 | — | — | 29.14% |
| BB% (unintentional) /PA | 6.74% | ÷0.982 | ×0.750 | — | ×1.027 | 5.29% |
| HBP% /PA | 0.37% | — | ×0.930 | — | ×1.027 | 0.36% |
| Singles /BIP | 25.93% | ÷1.040 | ×0.920 | ×1.004 | ×1.027 | 23.64% |
| Doubles /BIP | 5.82% | ÷0.970 | ×0.960 | ×1.004 | ×1.027 | 5.94% |
| Triples /BIP | 2.12% | ÷1.150 | ×0.810 | ×1.004 | ×1.027 | 1.54% |
| Home runs /BIP | 0.53% | ÷1.122 | ×0.880 | — | ×1.027 | 0.43% |
Factors used: league row FSL. Park (home-season share, regressed): HR 124, 1B 108, 2B 94, 3B 130, K 101, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.
Result: wOBA .297 → .248; ISO .090 → .073; BABIP .335 → .307. 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).
2012 AAErie SeaWolves · 122 PAwOBA .320 → .281 (−39)K% 17.2% → 22.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.21% | ÷0.948 | ×1.220 | — | — | 22.15% |
| BB% (unintentional) /PA | 10.66% | ÷1.013 | ×0.700 | — | ×1.050 | 7.73% |
| HBP% /PA | 1.64% | — | ×0.850 | — | ×1.050 | 1.46% |
| Singles /BIP | 25.88% | ÷1.003 | ×0.970 | ×1.002 | ×1.050 | 26.33% |
| Doubles /BIP | 4.71% | ÷1.042 | ×0.860 | ×1.002 | ×1.050 | 4.09% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.950 | ×1.002 | ×1.050 | 0.00% |
| Home runs /BIP | 2.35% | ÷1.260 | ×0.780 | — | ×1.050 | 1.53% |
Factors used: league row EL. Park (home-season share, regressed): HR 152, 1B 101, 2B 108, 3B 80, K 90, BB 103 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.
Result: wOBA .320 → .281; ISO .094 → .069; BABIP .310 → .305. 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 — .