Zander Wiel
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 26 | AAAWSH | 522 | .254/.323/.514 | 24 | 2 | 77 | — | .202/.253/.409 |
| 2021 | 28 | ROKMIN | 31 | .120/.267/.320 | 1 | 0 | 7 | — | .077/.200/.231 |
| 2024 | 31 | INTLLeones de Pon… | 75 | .304/.351/.493 | 3 | 2 | 135 | — |
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 | ROK | Elizabethton Twins | — | 45 | 36 | 7 | 2 | 0 | 1 | 7 | 13 | 1 | 0 | 0 | 194 | 341 | 333 | 674 | 139 | 261 | 29 | 16 | 309 | 30 | — | — | — | — | — | — |
| 2016 | 23 | A | Cedar Rapids Kernels | — | 568 | 501 | 130 | 27 | 8 | 19 | 55 | 125 | 3 | 7 | 1 | 259 | 336 | 459 | 795 | 200 | 306 | 22 | 10 | 346 | 55 | — | — | — | — | — | — |
| 2017 | 24 | A+ | Fort Myers Miracle | — | 526 | 452 | 113 | 30 | 6 | 13 | 62 | 104 | 6 | 8 | 2 | 250 | 348 | 429 | 777 | 179 | 293 | 20 | 12 | 344 | 64 | — | — | — | — | — | — |
| 2018 | 25 | AAA | Rochester Red Wings | — | 58 | 51 | 10 | 0 | 1 | 3 | 3 | 13 | 2 | 1 | 0 | 196 | 268 | 412 | 680 | 216 | 189 | 22 | 5 | 291 | 69 | — | — | — | — | — | — |
| 2018 | 25 | AA | Chattanooga Lookouts | — | 435 | 386 | 120 | 27 | 2 | 7 | 40 | 82 | 6 | 8 | 4 | 311 | 384 | 446 | 830 | 135 | 377 | 19 | 9 | 370 | 83 | — | — | — | — | — | — |
| 2019 | 26 | AAA | Rochester Red Wings | — | 522 | 469 | 119 | 40 | 5 | 24 | 40 | 158 | 8 | 2 | 1 | 254 | 323 | 514 | 837 | 260 | 325 | 30 | 8 | 361 | 77 | — | — | — | — | — | — |
| 2021 | 28 | ROK | FCL Twins | — | 31 | 25 | 3 | 2 | 0 | 1 | 2 | 8 | 3 | 0 | 0 | 120 | 267 | 320 | 587 | 200 | 118 | 26 | 6 | 266 | 7 | — | — | — | — | — | — |
| 2024 | 31 | INTL | Leones de Ponce | — | 75 | 69 | 21 | 4 | 0 | 3 | 3 | 23 | 2 | 2 | 1 | 304 | 351 | 493 | 844 | 188 | 419 | 31 | 4 | 368 | 135 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 22 | ROK MLE | Elizabethton Twins | — | 45 | 39 | 5 | 1 | 0 | 1 | 4 | 18 | 1 | 0 | 0 | 128 | 227 | 231 | 458 | 103 | 203 | 40 | 9 | 213 | 30 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Cedar Rapids Kernels | — | 568 | 520 | 101 | 19 | 7 | 12 | 36 | 171 | 3 | 7 | 1 | 194 | 250 | 327 | 577 | 133 | 251 | 30 | 6 | 249 | 55 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Fort Myers Miracle | — | 526 | 478 | 94 | 23 | 4 | 11 | 36 | 156 | 6 | 8 | 2 | 197 | 262 | 331 | 592 | 134 | 257 | 30 | 7 | 263 | 64 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | Rochester Red Wings | — | 58 | 52 | 10 | 0 | 1 | 3 | 2 | 16 | 2 | 1 | 0 | 192 | 250 | 404 | 654 | 212 | 175 | 28 | 3 | 270 | 69 | — | — | — | — | — | — |
| 2018 | 25 | AA MLE | Chattanooga Lookouts | — | 435 | 403 | 101 | 24 | 2 | 6 | 23 | 104 | 6 | 8 | 4 | 251 | 301 | 365 | 666 | 114 | 316 | 24 | 5 | 291 | 83 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | Rochester Red Wings | — | 522 | 484 | 98 | 29 | 4 | 21 | 25 | 190 | 8 | 2 | 1 | 202 | 253 | 409 | 662 | 207 | 272 | 36 | 5 | 282 | 77 | — | — | — | — | — | — |
| 2021 | 28 | ROK MLE | FCL Twins | — | 31 | 26 | 2 | 1 | 0 | 1 | 1 | 12 | 3 | 0 | 0 | 77 | 200 | 231 | 431 | 154 | 80 | 39 | 3 | 178 | 7 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | Elizabethton Twins | — | 45 | 39 | 5 | 1 | 0 | 1 | 4 | 18 | 1 | 0 | 0 | 128 | 227 | 231 | 458 | 103 | 190 | 40 | 9 | 213 | 30 | — | — | — | — | — | — |
| 2015 | 22 | ROK RAW | Elizabethton Twins | — | 45 | 36 | 7 | 2 | 0 | 1 | 7 | 13 | 1 | 0 | 0 | 194 | 341 | 333 | 674 | 139 | 261 | 29 | 16 | 309 | 30 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Cedar Rapids Kernels | — | 568 | 520 | 101 | 19 | 7 | 12 | 36 | 171 | 3 | 7 | 1 | 194 | 250 | 327 | 577 | 133 | 259 | 30 | 6 | 249 | 55 | — | — | — | — | — | — |
| 2016 | 23 | A RAW | Cedar Rapids Kernels | — | 568 | 501 | 130 | 27 | 8 | 19 | 55 | 125 | 3 | 7 | 1 | 259 | 336 | 459 | 795 | 200 | 306 | 22 | 10 | 346 | 55 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Fort Myers Miracle | — | 526 | 478 | 94 | 23 | 4 | 11 | 36 | 156 | 6 | 8 | 2 | 197 | 262 | 331 | 592 | 134 | 262 | 30 | 7 | 263 | 64 | — | — | — | — | — | — |
| 2017 | 24 | A+ RAW | Fort Myers Miracle | — | 526 | 452 | 113 | 30 | 6 | 13 | 62 | 104 | 6 | 8 | 2 | 250 | 348 | 429 | 777 | 179 | 293 | 20 | 12 | 344 | 64 | — | — | — | — | — | — |
| 2018 | 25 | AA MLE | 2 teams | — | 493 | 455 | 111 | 24 | 3 | 9 | 25 | 120 | 8 | 9 | 4 | 244 | 295 | 369 | 664 | 125 | 308 | 24 | 5 | 289 | 81 | — | — | — | — | — | — |
| 2018 | 25 | AA RAW | 2 teams | — | 493 | 437 | 130 | 27 | 3 | 10 | 43 | 95 | 8 | 9 | 4 | 297 | 371 | 442 | 813 | 144 | 356 | 19 | 9 | 360 | 81 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | Rochester Red Wings | — | 522 | 484 | 98 | 29 | 4 | 21 | 25 | 190 | 8 | 2 | 1 | 202 | 253 | 409 | 662 | 207 | 277 | 36 | 5 | 282 | 77 | — | — | — | — | — | — |
| 2019 | 26 | AAA RAW | Rochester Red Wings | — | 522 | 469 | 119 | 40 | 5 | 24 | 40 | 158 | 8 | 2 | 1 | 254 | 323 | 514 | 837 | 260 | 325 | 30 | 8 | 361 | 77 | — | — | — | — | — | — |
| 2021 | 28 | ROK MLE | FCL Twins | — | 31 | 26 | 2 | 1 | 0 | 1 | 1 | 12 | 3 | 0 | 0 | 77 | 200 | 231 | 431 | 154 | 71 | 39 | 3 | 178 | 7 | — | — | — | — | — | — |
| 2021 | 28 | ROK RAW | FCL Twins | — | 31 | 25 | 3 | 2 | 0 | 1 | 2 | 8 | 3 | 0 | 0 | 120 | 267 | 320 | 587 | 200 | 118 | 26 | 6 | 266 | 7 | — | — | — | — | — | — |
| 2024 | 31 | INTL MLE | Leones de Ponce | — | 75 | 69 | 21 | 4 | 0 | 3 | 3 | 23 | 2 | 2 | 1 | 304 | 351 | 493 | 844 | 188 | 419 | 31 | 4 | — | — | — | — | — | — | — | — |
| 2024 | 31 | INTL RAW | Leones de Ponce | — | 75 | 69 | 21 | 4 | 0 | 3 | 3 | 23 | 2 | 2 | 1 | 304 | 351 | 493 | 844 | 188 | 419 | 31 | 4 | 368 | 135 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | Elizabethton Twins | — | 45 | 40 | 5 | 1 | 0 | 1 | 4 | 18 | 1 | 0 | 0 | 125 | 227 | 225 | 452 | 100 | 203 | 40 | 9 | 213 | 30 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Cedar Rapids Kernels | — | 568 | 524 | 101 | 19 | 7 | 12 | 36 | 171 | 3 | 7 | 1 | 193 | 250 | 324 | 575 | 132 | 251 | 30 | 6 | 249 | 55 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Fort Myers Miracle | — | 526 | 479 | 94 | 23 | 4 | 11 | 36 | 156 | 6 | 8 | 2 | 196 | 262 | 330 | 591 | 134 | 257 | 30 | 7 | 263 | 64 | — | — | — | — | — | — |
| 2018 | 25 | AA MLE | 2 teams | — | 493 | 457 | 111 | 24 | 3 | 9 | 25 | 120 | 8 | 9 | 4 | 243 | 295 | 368 | 663 | 125 | 299 | 24 | 5 | 289 | 81 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | Rochester Red Wings | — | 522 | 484 | 98 | 29 | 4 | 21 | 25 | 190 | 8 | 2 | 1 | 202 | 253 | 409 | 662 | 207 | 272 | 36 | 5 | 282 | 77 | — | — | — | — | — | — |
| 2021 | 28 | ROK MLE | FCL Twins | — | 31 | 27 | 2 | 1 | 0 | 1 | 1 | 12 | 3 | 0 | 0 | 74 | 200 | 222 | 422 | 148 | 80 | 39 | 3 | 178 | 7 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2260 | 2071 | 432 | 101 | 18 | 58 | 130 | 690 | 31 | 28 | 9 | 209 | 266 | 359 | 624 | 150 | 278 | 31 | 6 | 259 | 61 | -105 | +2 | +0 | -40 | +49 | -9.6 | |
| / 162G | — | MLE | — | 650 | 596 | 124 | 29 | 5 | 17 | 37 | 198 | 9 | 8 | 3 | 208 | 265 | 359 | 624 | 151 | 276 | 30 | 6 | 259 | 61 | -30 | +0 | +0 | -12 | +14 | -2.8 | |
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.
2021 ROKFCL Twins · 31 PAwOBA .268 → .178 (−90)K% 25.8% → 37.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.81% | ÷0.996 | ×1.440 | — | — | 37.31% |
| BB% (unintentional) /PA | 6.45% | ÷0.989 | ×0.620 | — | ×0.940 | 3.80% |
| HBP% /PA | 9.68% | — | ×0.720 | — | ×0.940 | 6.55% |
| Singles /BIP | 0.00% | ÷1.027 | ×0.820 | — | ×0.940 | 0.00% |
| Doubles /BIP | 11.76% | ÷0.982 | ×0.720 | — | ×0.940 | 8.10% |
| Triples /BIP | 0.00% | ÷1.004 | ×0.720 | — | ×0.940 | 0.00% |
| Home runs /BIP | 5.88% | ÷0.982 | ×0.780 | — | ×0.940 | 4.39% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 105, 2B 96, 3B 101, K 99, BB 98 — applied at half strength. Age: age 28 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (8.5 yr older than average).
Result: wOBA .268 → .178; ISO .200 → .138; BABIP .118 → .080. 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 AAARochester Red Wings · 522 PAwOBA .353 → .282 (−71)K% 30.3% → 36.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.27% | ÷0.999 | ×1.200 | — | — | 36.36% |
| BB% (unintentional) /PA | 7.28% | ÷1.095 | ×0.690 | — | ×1.018 | 4.67% |
| HBP% /PA | 1.53% | — | ×0.940 | — | ×1.018 | 1.47% |
| Singles /BIP | 16.08% | ÷0.982 | ×0.930 | ×0.950 | ×1.018 | 14.73% |
| Doubles /BIP | 12.86% | ÷1.063 | ×0.830 | ×0.950 | ×1.018 | 9.71% |
| Triples /BIP | 1.61% | ÷1.150 | ×0.970 | ×0.950 | ×1.018 | 1.31% |
| Home runs /BIP | 7.72% | ÷0.958 | ×0.840 | — | ×1.018 | 6.89% |
Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 96, 2B 113, 3B 130, K 100, BB 119 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .353 → .282; ISO .260 → .211; BABIP .325 → .272. 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 AAChattanooga Lookouts · 435 PAwOBA .360 → .291 (−69)K% 18.9% → 23.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.85% | ÷0.961 | ×1.220 | — | — | 23.94% |
| BB% (unintentional) /PA | 8.28% | ÷1.078 | ×0.680 | — | ×0.998 | 5.21% |
| HBP% /PA | 1.38% | — | ×0.840 | — | ×0.998 | 1.16% |
| Singles /BIP | 27.63% | ÷1.072 | ×0.920 | ×0.963 | ×0.998 | 22.78% |
| Doubles /BIP | 8.88% | ÷0.979 | ×0.910 | ×0.963 | ×0.998 | 7.93% |
| Triples /BIP | 0.66% | ÷0.900 | ×0.880 | ×0.963 | ×0.998 | 0.62% |
| Home runs /BIP | 2.30% | ÷0.975 | ×0.800 | — | ×0.998 | 1.89% |
Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 114, 2B 96, 3B 80, K 92, BB 116 — 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 ×0.963.
Result: wOBA .360 → .291; ISO .135 → .116; BABIP .377 → .316. 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 AAARochester Red Wings · 58 PAwOBA .292 → .270 (−23)K% 22.4% → 27.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.41% | ÷0.978 | ×1.200 | — | — | 27.51% |
| BB% (unintentional) /PA | 5.17% | ÷1.008 | ×0.690 | — | ×1.033 | 3.66% |
| HBP% /PA | 3.45% | — | ×0.940 | — | ×1.033 | 3.35% |
| Singles /BIP | 15.79% | ÷1.023 | ×0.930 | ×0.999 | ×1.033 | 14.81% |
| Doubles /BIP | 0.00% | ÷1.009 | ×0.830 | ×0.999 | ×1.033 | 0.00% |
| Triples /BIP | 2.63% | ÷1.150 | ×0.970 | ×0.999 | ×1.033 | 2.29% |
| Home runs /BIP | 7.89% | ÷0.879 | ×0.840 | — | ×1.033 | 7.79% |
Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 105, 2B 102, 3B 130, K 96, BB 102 — 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 ×0.999.
Result: wOBA .292 → .270; ISO .216 → .208; BABIP .189 → .175. 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+Fort Myers Miracle · 526 PAwOBA .336 → .263 (−74)K% 19.8% → 29.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.77% | ÷0.947 | ×1.420 | — | — | 29.66% |
| BB% (unintentional) /PA | 11.03% | ÷1.209 | ×0.750 | — | ×0.988 | 6.76% |
| HBP% /PA | 1.14% | — | ×0.930 | — | ×0.988 | 1.05% |
| Singles /BIP | 18.39% | ÷0.982 | ×0.920 | ×1.005 | ×0.988 | 17.11% |
| Doubles /BIP | 8.62% | ÷1.178 | ×0.960 | ×1.005 | ×0.988 | 6.97% |
| Triples /BIP | 1.72% | ÷1.150 | ×0.810 | ×1.005 | ×0.988 | 1.21% |
| Home runs /BIP | 3.74% | ÷0.942 | ×0.880 | — | ×0.988 | 3.45% |
Factors used: league row FSL. Park (home-season share, regressed): HR 88, 1B 96, 2B 136, 3B 130, K 89, BB 142 — 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 ×1.005.
Result: wOBA .336 → .263; ISO .179 → .144; BABIP .293 → .257. 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 ACedar Rapids Kernels · 568 PAwOBA .340 → .249 (−91)K% 22.0% → 30.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.01% | ÷0.996 | ×1.360 | — | — | 30.05% |
| BB% (unintentional) /PA | 9.51% | ÷1.008 | ×0.690 | — | ×0.990 | 6.44% |
| HBP% /PA | 0.53% | — | ×0.780 | — | ×0.990 | 0.41% |
| Singles /BIP | 20.21% | ÷1.002 | ×0.920 | ×0.950 | ×0.990 | 17.45% |
| Doubles /BIP | 7.18% | ÷1.055 | ×0.830 | ×0.950 | ×0.990 | 5.32% |
| Triples /BIP | 2.13% | ÷0.951 | ×0.910 | ×0.950 | ×0.990 | 1.91% |
| Home runs /BIP | 5.05% | ÷1.232 | ×0.800 | — | ×0.990 | 3.25% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 146, 1B 100, 2B 111, 3B 90, K 99, 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 ×0.950.
Result: wOBA .340 → .249; ISO .200 → .135; BABIP .306 → .251. 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 ROKElizabethton Twins · 45 PAwOBA .308 → .213 (−96)K% 28.9% → 41.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.89% | ÷1.000 | ×1.420 | — | — | 41.02% |
| BB% (unintentional) /PA | 15.56% | ÷1.000 | ×0.640 | — | ×0.975 | 9.71% |
| HBP% /PA | 2.22% | — | ×0.740 | — | ×0.975 | 1.60% |
| Singles /BIP | 17.39% | ÷1.000 | ×0.840 | — | ×0.975 | 14.24% |
| Doubles /BIP | 8.70% | ÷1.000 | ×0.740 | — | ×0.975 | 6.27% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.740 | — | ×0.975 | 0.00% |
| Home runs /BIP | 4.35% | ÷1.000 | ×0.800 | — | ×0.975 | 3.39% |
Factors used: level-wide ROK 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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .308 → .213; ISO .139 → .098; BABIP .261 → .203. 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 — .