Will Maddox
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 25 | AA/A+DET | 376 | .286/.339/.360 | 3 | 15 | 60 | — | .251/.284/.308 |
| 2018 | 26 | AADET | 434 | .300/.346/.398 | 4 | 7 | 84 | — | .278/.311/.362 |
| 2019 | 27 | AASF | 140 | .192/.245/.254 | 1 | 4 | 9 | — | .164/.194/.224 |
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 | 23 | A | West Michigan Whitecaps | — | 47 | 43 | 17 | 2 | 0 | 0 | 1 | 6 | 1 | 2 | 2 | 395 | 422 | 442 | 864 | 47 | 459 | 13 | 2 | 374 | 106 | — | — | — | — | — | — |
| 2016 | 24 | A | West Michigan Whitecaps | — | 558 | 511 | 175 | 23 | 3 | 1 | 32 | 89 | 5 | 28 | 12 | 342 | 387 | 405 | 792 | 63 | 408 | 16 | 6 | 352 | 77 | — | — | — | — | — | — |
| 2017 | 25 | AA | Erie SeaWolves | — | 67 | 64 | 19 | 1 | 0 | 1 | 2 | 15 | 0 | 3 | 0 | 297 | 318 | 359 | 678 | 62 | 375 | 22 | 3 | 301 | 61 | — | — | — | — | — | — |
| 2017 | 25 | A+ | Lakeland Flying Tigers | — | 309 | 275 | 78 | 9 | 3 | 2 | 23 | 52 | 2 | 12 | 9 | 284 | 343 | 360 | 703 | 76 | 341 | 17 | 7 | 311 | 60 | — | — | — | — | — | — |
| 2018 | 26 | AA | Erie SeaWolves | — | 434 | 397 | 119 | 17 | 5 | 4 | 24 | 67 | 4 | 7 | 7 | 300 | 346 | 398 | 744 | 98 | 347 | 15 | 6 | 327 | 84 | — | — | — | — | — | — |
| 2019 | 27 | AA | Richmond Flying Squirrels | — | 140 | 130 | 25 | 3 | 1 | 1 | 9 | 27 | 0 | 4 | 4 | 192 | 245 | 254 | 498 | 62 | 233 | 19 | 6 | 228 | 9 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 23 | A MLE | West Michigan Whitecaps | — | 47 | 43 | 16 | 2 | 0 | 0 | 1 | 8 | 1 | 2 | 2 | 372 | 400 | 419 | 819 | 47 | 417 | 17 | 2 | 325 | 106 | — | — | — | — | — | — |
| 2016 | 24 | A MLE | West Michigan Whitecaps | — | 558 | 522 | 146 | 18 | 2 | 1 | 21 | 123 | 5 | 28 | 12 | 280 | 314 | 328 | 641 | 48 | 350 | 22 | 4 | 282 | 77 | — | — | — | — | — | — |
| 2017 | 25 | AA MLE | Erie SeaWolves | — | 67 | 65 | 18 | 1 | 0 | 1 | 1 | 19 | 0 | 3 | 0 | 277 | 288 | 338 | 626 | 62 | 365 | 28 | 1 | 258 | 61 | — | — | — | — | — | — |
| 2017 | 25 | A+ MLE | Lakeland Flying Tigers | — | 309 | 285 | 70 | 9 | 2 | 1 | 13 | 74 | 2 | 12 | 9 | 246 | 283 | 302 | 585 | 56 | 314 | 24 | 4 | 257 | 60 | — | — | — | — | — | — |
| 2018 | 26 | AA MLE | Erie SeaWolves | — | 434 | 406 | 113 | 15 | 5 | 3 | 15 | 82 | 4 | 7 | 7 | 278 | 311 | 362 | 673 | 84 | 329 | 19 | 3 | 293 | 84 | — | — | — | — | — | — |
| 2019 | 27 | AA MLE | Richmond Flying Squirrels | — | 140 | 134 | 22 | 3 | 1 | 1 | 5 | 34 | 0 | 4 | 4 | 164 | 194 | 224 | 418 | 60 | 204 | 24 | 4 | 181 | 9 | — | — | — | — | — | — |
| 2015 | 23 | A MLE | West Michigan Whitecaps | — | 47 | 43 | 16 | 2 | 0 | 0 | 1 | 8 | 1 | 2 | 2 | 372 | 400 | 419 | 819 | 47 | 457 | 17 | 2 | 325 | 106 | — | — | — | — | — | — |
| 2015 | 23 | A RAW | West Michigan Whitecaps | — | 47 | 43 | 17 | 2 | 0 | 0 | 1 | 6 | 1 | 2 | 2 | 395 | 422 | 442 | 864 | 47 | 459 | 13 | 2 | 374 | 106 | — | — | — | — | — | — |
| 2016 | 24 | A MLE | West Michigan Whitecaps | — | 558 | 522 | 146 | 18 | 2 | 1 | 21 | 123 | 5 | 28 | 12 | 280 | 314 | 328 | 641 | 48 | 360 | 22 | 4 | 282 | 77 | — | — | — | — | — | — |
| 2016 | 24 | A RAW | West Michigan Whitecaps | — | 558 | 511 | 175 | 23 | 3 | 1 | 32 | 89 | 5 | 28 | 12 | 342 | 387 | 405 | 792 | 63 | 408 | 16 | 6 | 352 | 77 | — | — | — | — | — | — |
| 2017 | 25 | A+ MLE | 2 teams | — | 376 | 350 | 88 | 10 | 2 | 2 | 14 | 93 | 2 | 15 | 9 | 251 | 284 | 309 | 593 | 57 | 335 | 25 | 4 | 257 | 60 | — | — | — | — | — | — |
| 2017 | 25 | A+ RAW | 2 teams | — | 376 | 339 | 97 | 10 | 3 | 3 | 25 | 67 | 2 | 15 | 9 | 286 | 339 | 360 | 699 | 74 | 347 | 18 | 7 | 309 | 60 | — | — | — | — | — | — |
| 2018 | 26 | AA MLE | Erie SeaWolves | — | 434 | 406 | 113 | 15 | 5 | 3 | 15 | 82 | 4 | 7 | 7 | 278 | 311 | 362 | 673 | 84 | 337 | 19 | 3 | 293 | 84 | — | — | — | — | — | — |
| 2018 | 26 | AA RAW | Erie SeaWolves | — | 434 | 397 | 119 | 17 | 5 | 4 | 24 | 67 | 4 | 7 | 7 | 300 | 346 | 398 | 744 | 98 | 347 | 15 | 6 | 327 | 84 | — | — | — | — | — | — |
| 2019 | 27 | AA MLE | Richmond Flying Squirrels | — | 140 | 134 | 22 | 3 | 1 | 1 | 5 | 34 | 0 | 4 | 4 | 164 | 194 | 224 | 418 | 60 | 210 | 24 | 4 | 181 | 9 | — | — | — | — | — | — |
| 2019 | 27 | AA RAW | Richmond Flying Squirrels | — | 140 | 130 | 25 | 3 | 1 | 1 | 9 | 27 | 0 | 4 | 4 | 192 | 245 | 254 | 498 | 62 | 233 | 19 | 6 | 228 | 9 | — | — | — | — | — | — |
| 2015 | 23 | A MLE | West Michigan Whitecaps | — | 47 | 45 | 16 | 2 | 0 | 0 | 1 | 8 | 1 | 2 | 2 | 356 | 400 | 400 | 800 | 44 | 417 | 17 | 2 | 325 | 106 | — | — | — | — | — | — |
| 2016 | 24 | A MLE | West Michigan Whitecaps | — | 558 | 527 | 146 | 18 | 2 | 1 | 21 | 123 | 5 | 28 | 12 | 277 | 314 | 324 | 638 | 47 | 350 | 22 | 4 | 282 | 77 | — | — | — | — | — | — |
| 2017 | 25 | A+ MLE | 2 teams | — | 376 | 357 | 88 | 10 | 2 | 2 | 14 | 93 | 2 | 15 | 9 | 246 | 284 | 303 | 587 | 56 | 323 | 25 | 4 | 257 | 60 | — | — | — | — | — | — |
| 2018 | 26 | AA MLE | Erie SeaWolves | — | 434 | 412 | 113 | 15 | 5 | 3 | 15 | 82 | 4 | 7 | 7 | 274 | 311 | 357 | 667 | 83 | 329 | 19 | 3 | 293 | 84 | — | — | — | — | — | — |
| 2019 | 27 | AA MLE | Richmond Flying Squirrels | — | 140 | 134 | 22 | 3 | 1 | 1 | 5 | 34 | 0 | 4 | 4 | 164 | 194 | 224 | 418 | 60 | 204 | 24 | 4 | 181 | 9 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1555 | 1455 | 385 | 48 | 10 | 7 | 56 | 340 | 12 | 56 | 34 | 265 | 297 | 326 | 623 | 61 | 337 | 22 | 4 | 271 | 70 | -56 | -2 | +0 | -28 | +34 | -5.4 | |
| / 162G | — | MLE | — | 650 | 608 | 161 | 20 | 4 | 3 | 23 | 142 | 5 | 23 | 14 | 265 | 297 | 326 | 622 | 61 | 338 | 22 | 4 | 271 | 70 | -23 | -1 | +0 | -12 | +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.
2019 AARichmond Flying Squirrels · 140 PAwOBA .220 → .181 (−39)K% 19.3% → 24.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.29% | ÷0.975 | ×1.220 | — | — | 24.12% |
| BB% (unintentional) /PA | 5.71% | ÷1.011 | ×0.700 | — | ×0.978 | 3.87% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.978 | 0.00% |
| Singles /BIP | 19.42% | ÷1.020 | ×0.970 | ×0.950 | ×0.978 | 17.15% |
| Doubles /BIP | 2.91% | ÷0.916 | ×0.860 | ×0.950 | ×0.978 | 2.54% |
| Triples /BIP | 0.97% | ÷1.147 | ×0.950 | ×0.950 | ×0.978 | 0.75% |
| Home runs /BIP | 0.97% | ÷0.890 | ×0.780 | — | ×0.978 | 0.83% |
Factors used: league row EL. Park (home-season share, regressed): HR 78, 1B 104, 2B 83, 3B 129, K 95, 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 .220 → .181; ISO .062 → .051; BABIP .233 → .204. 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 AAErie SeaWolves · 434 PAwOBA .321 → .293 (−28)K% 15.4% → 18.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.44% | ÷0.999 | ×1.220 | — | — | 18.86% |
| BB% (unintentional) /PA | 5.07% | ÷1.007 | ×0.700 | — | ×0.988 | 3.48% |
| HBP% /PA | 0.92% | — | ×0.850 | — | ×0.988 | 0.77% |
| Singles /BIP | 28.18% | ÷1.016 | ×0.970 | ×1.016 | ×0.988 | 26.99% |
| Doubles /BIP | 5.15% | ÷0.974 | ×0.860 | ×1.016 | ×0.988 | 4.56% |
| Triples /BIP | 1.52% | ÷0.901 | ×0.950 | ×1.016 | ×0.988 | 1.60% |
| Home runs /BIP | 1.21% | ÷1.112 | ×0.780 | — | ×0.988 | 0.84% |
Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 103, 2B 95, 3B 80, K 100, BB 101 — 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 ×1.016.
Result: wOBA .321 → .293; ISO .098 → .086; BABIP .347 → .329. 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+Lakeland Flying Tigers · 309 PAwOBA .301 → .257 (−44)K% 16.8% → 24.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.83% | ÷0.995 | ×1.420 | — | — | 24.03% |
| BB% (unintentional) /PA | 6.47% | ÷1.138 | ×0.750 | — | ×0.978 | 4.17% |
| HBP% /PA | 0.65% | — | ×0.930 | — | ×0.978 | 0.59% |
| Singles /BIP | 28.70% | ÷1.012 | ×0.920 | ×1.027 | ×0.978 | 26.21% |
| Doubles /BIP | 4.04% | ÷0.918 | ×0.960 | ×1.027 | ×0.978 | 4.24% |
| Triples /BIP | 1.35% | ÷1.039 | ×0.810 | ×1.027 | ×0.978 | 1.05% |
| Home runs /BIP | 0.90% | ÷1.747 | ×0.880 | — | ×0.978 | 0.44% |
Factors used: league row FSL. Park (home-season share, regressed): HR 249, 1B 102, 2B 84, 3B 108, K 99, BB 128 — 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 ×1.027.
Result: wOBA .301 → .257; ISO .076 → .061; BABIP .341 → .314. 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 AAErie SeaWolves · 67 PAwOBA .292 → .258 (−34)K% 22.4% → 28.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.39% | ÷0.973 | ×1.220 | — | — | 28.07% |
| BB% (unintentional) /PA | 2.99% | ÷1.059 | ×0.700 | — | ×0.998 | 1.97% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.998 | 0.00% |
| Singles /BIP | 34.69% | ÷1.020 | ×0.970 | ×1.037 | ×0.998 | 34.16% |
| Doubles /BIP | 2.04% | ÷0.944 | ×0.860 | ×1.037 | ×0.998 | 1.92% |
| Triples /BIP | 0.00% | ÷1.094 | ×0.950 | ×1.037 | ×0.998 | 0.00% |
| Home runs /BIP | 2.04% | ÷1.259 | ×0.780 | — | ×0.998 | 1.26% |
Factors used: league row EL. Park (home-season share, regressed): HR 152, 1B 104, 2B 89, 3B 119, K 95, 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 ×1.037.
Result: wOBA .292 → .258; ISO .062 → .042; BABIP .375 → .365. 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 AWest Michigan Whitecaps · 558 PAwOBA .344 → .282 (−62)K% 15.9% → 22.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.95% | ÷0.983 | ×1.360 | — | — | 22.06% |
| BB% (unintentional) /PA | 5.20% | ÷0.957 | ×0.690 | — | ×0.980 | 3.67% |
| HBP% /PA | 0.90% | — | ×0.780 | — | ×0.980 | 0.68% |
| Singles /BIP | 35.07% | ÷1.036 | ×0.920 | ×0.997 | ×0.980 | 30.42% |
| Doubles /BIP | 5.45% | ÷1.013 | ×0.830 | ×0.997 | ×0.980 | 4.36% |
| Triples /BIP | 0.71% | ÷1.056 | ×0.910 | ×0.997 | ×0.980 | 0.60% |
| Home runs /BIP | 0.24% | ÷0.770 | ×0.800 | — | ×0.980 | 0.24% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 54, 1B 107, 2B 103, 3B 111, K 97, BB 91 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.
Result: wOBA .344 → .282; ISO .063 → .050; BABIP .408 → .350. 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 AWest Michigan Whitecaps · 47 PAwOBA .364 → .325 (−39)K% 12.8% → 17.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.77% | ÷0.977 | ×1.360 | — | — | 17.77% |
| BB% (unintentional) /PA | 2.13% | ÷1.006 | ×0.690 | — | ×0.990 | 1.45% |
| HBP% /PA | 2.13% | — | ×0.780 | — | ×0.990 | 1.64% |
| Singles /BIP | 40.54% | ÷0.996 | ×0.920 | — | ×0.990 | 37.09% |
| Doubles /BIP | 5.41% | ÷0.969 | ×0.830 | — | ×0.990 | 4.58% |
| Triples /BIP | 0.00% | ÷1.128 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.954 | ×0.800 | — | ×0.990 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 99, 2B 94, 3B 126, K 95, BB 101 — 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).
Result: wOBA .364 → .325; ISO .047 → .040; BABIP .459 → .417. 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).