Shane Zeile
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 22 | ADET | 150 | .191/.274/.260 | 0 | 0 | 24 | — | .170/.233/.230 |
| 2016 | 23 | A/ROK2 orgs | 238 | .259/.319/.431 | 4 | 2 | 59 | — | .199/.247/.334 |
| 2017 | 24 | ROKGCL Tigers We… | 39 | .306/.359/.361 | 0 | 2 | 34 | — | .189/.231/.216 |
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.
| 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) | |||||||||||||||||||||||||||||||
| 2014 | 21 | ROK | GCL Tigers | — | 70 | 63 | 14 | 1 | 1 | 2 | 4 | 14 | 1 | 0 | 1 | 222 | 279 | 365 | 644 | 143 | 250 | 20 | 6 | 281 | 24 | — | — | — | — | — | — |
| 2015 | 22 | A | West Michigan Whitecaps | — | 150 | 131 | 25 | 5 | 2 | 0 | 13 | 30 | 2 | 0 | 0 | 191 | 274 | 260 | 534 | 69 | 243 | 20 | 9 | 243 | 24 | — | — | — | — | — | — |
| 2016 | 23 | A | West Michigan Whitecaps | — | 215 | 196 | 46 | 7 | 7 | 3 | 12 | 43 | 4 | 2 | 0 | 235 | 292 | 388 | 680 | 153 | 281 | 20 | 6 | 298 | 45 | — | — | — | — | — | — |
| 2016 | 23 | ROK | GCL Tigers West | — | 23 | 20 | 10 | 4 | 0 | 1 | 3 | 2 | 0 | 0 | 0 | 500 | 565 | 850 | 1.415 | 350 | 529 | 9 | 13 | 602 | 185 | — | — | — | — | — | — |
| 2017 | 24 | ROK | GCL Tigers West | — | 39 | 36 | 11 | 2 | 0 | 0 | 3 | 8 | 0 | 2 | 0 | 306 | 359 | 361 | 720 | 56 | 393 | 21 | 8 | 328 | 34 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 21 | ROK MLE | GCL Tigers | — | 70 | 65 | 11 | 1 | 1 | 1 | 2 | 20 | 1 | 0 | 1 | 169 | 206 | 262 | 467 | 92 | 200 | 29 | 3 | 203 | 24 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | West Michigan Whitecaps | — | 150 | 135 | 23 | 4 | 2 | 0 | 9 | 42 | 2 | 0 | 0 | 170 | 233 | 230 | 463 | 59 | 230 | 28 | 6 | 204 | 24 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | West Michigan Whitecaps | — | 215 | 199 | 36 | 5 | 5 | 3 | 9 | 60 | 4 | 2 | 0 | 181 | 231 | 302 | 533 | 121 | 237 | 28 | 4 | 234 | 45 | — | — | — | — | — | — |
| 2016 | 23 | ROK MLE | GCL Tigers West | — | 23 | 22 | 8 | 3 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 364 | 391 | 636 | 1.028 | 273 | 391 | 13 | 4 | 441 | 185 | — | — | — | — | — | — |
| 2017 | 24 | ROK MLE | GCL Tigers West | — | 39 | 37 | 7 | 1 | 0 | 0 | 2 | 12 | 0 | 2 | 0 | 189 | 231 | 216 | 447 | 27 | 301 | 31 | 5 | 218 | 34 | — | — | — | — | — | — |
| 2014 | 21 | ROK MLE | GCL Tigers | — | 70 | 65 | 11 | 1 | 1 | 1 | 2 | 20 | 1 | 0 | 1 | 169 | 206 | 262 | 467 | 92 | 222 | 29 | 3 | 203 | 24 | — | — | — | — | — | — |
| 2014 | 21 | ROK RAW | GCL Tigers | — | 70 | 63 | 14 | 1 | 1 | 2 | 4 | 14 | 1 | 0 | 1 | 222 | 279 | 365 | 644 | 143 | 250 | 20 | 6 | 281 | 24 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | West Michigan Whitecaps | — | 150 | 135 | 23 | 4 | 2 | 0 | 9 | 42 | 2 | 0 | 0 | 170 | 233 | 230 | 463 | 59 | 242 | 28 | 6 | 204 | 24 | — | — | — | — | — | — |
| 2015 | 22 | A RAW | West Michigan Whitecaps | — | 150 | 131 | 25 | 5 | 2 | 0 | 13 | 30 | 2 | 0 | 0 | 191 | 274 | 260 | 534 | 69 | 243 | 20 | 9 | 243 | 24 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | 2 teams | — | 238 | 221 | 45 | 8 | 5 | 4 | 10 | 62 | 4 | 2 | 0 | 204 | 251 | 339 | 590 | 136 | 259 | 26 | 4 | 254 | 58 | — | — | — | — | — | — |
| 2016 | 23 | A RAW | 2 teams | — | 238 | 216 | 56 | 11 | 7 | 4 | 15 | 45 | 4 | 2 | 0 | 259 | 319 | 431 | 750 | 171 | 306 | 19 | 6 | 327 | 58 | — | — | — | — | — | — |
| 2017 | 24 | ROK MLE | GCL Tigers West | — | 39 | 37 | 7 | 1 | 0 | 0 | 2 | 12 | 0 | 2 | 0 | 189 | 231 | 216 | 447 | 27 | 280 | 31 | 5 | 218 | 34 | — | — | — | — | — | — |
| 2017 | 24 | ROK RAW | GCL Tigers West | — | 39 | 36 | 11 | 2 | 0 | 0 | 3 | 8 | 0 | 2 | 0 | 306 | 359 | 361 | 720 | 56 | 393 | 21 | 8 | 328 | 34 | — | — | — | — | — | — |
| 2014 | 21 | ROK MLE | GCL Tigers | — | 70 | 67 | 11 | 1 | 1 | 1 | 2 | 20 | 1 | 0 | 1 | 164 | 206 | 254 | 460 | 90 | 200 | 29 | 3 | 203 | 24 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | West Michigan Whitecaps | — | 150 | 138 | 23 | 4 | 2 | 0 | 9 | 42 | 2 | 0 | 0 | 167 | 233 | 225 | 458 | 58 | 230 | 28 | 6 | 204 | 24 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | 2 teams | — | 238 | 222 | 45 | 8 | 5 | 4 | 10 | 62 | 4 | 2 | 0 | 203 | 251 | 338 | 589 | 135 | 252 | 26 | 4 | 254 | 58 | — | — | — | — | — | — |
| 2017 | 24 | ROK MLE | GCL Tigers West | — | 39 | 37 | 7 | 1 | 0 | 0 | 2 | 12 | 0 | 2 | 0 | 189 | 231 | 216 | 447 | 27 | 301 | 31 | 5 | 218 | 34 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 497 | 458 | 86 | 14 | 8 | 5 | 23 | 136 | 7 | 4 | 1 | 188 | 238 | 286 | 524 | 98 | 251 | 27 | 5 | 229 | 41 | -35 | +0 | +0 | +9 | +11 | -1.5 | |
| / 162G | — | MLE | — | 650 | 599 | 112 | 18 | 10 | 7 | 30 | 178 | 9 | 5 | 1 | 187 | 237 | 285 | 522 | 98 | 249 | 27 | 5 | 229 | 41 | -46 | +1 | +0 | +12 | +14 | -2.0 | |
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.
2017 ROKGCL Tigers West · 39 PAwOBA .320 → .218 (−102)K% 20.5% → 29.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.51% | ÷1.000 | ×1.440 | — | — | 29.54% |
| BB% (unintentional) /PA | 7.69% | ÷1.000 | ×0.620 | — | ×0.955 | 4.55% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.955 | 0.00% |
| Singles /BIP | 32.14% | ÷1.000 | ×0.820 | — | ×0.955 | 25.17% |
| Doubles /BIP | 7.14% | ÷1.000 | ×0.720 | — | ×0.955 | 4.91% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.955 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.955 | 0.00% |
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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).
Result: wOBA .320 → .218; ISO .056 → .035; BABIP .393 → .301. 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 · 215 PAwOBA .294 → .234 (−60)K% 20.0% → 27.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷0.983 | ×1.360 | — | — | 27.67% |
| BB% (unintentional) /PA | 5.58% | ÷0.957 | ×0.690 | — | ×0.990 | 3.98% |
| HBP% /PA | 1.86% | — | ×0.780 | — | ×0.990 | 1.44% |
| Singles /BIP | 18.95% | ÷1.036 | ×0.920 | ×0.977 | ×0.990 | 16.27% |
| Doubles /BIP | 4.58% | ÷1.013 | ×0.830 | ×0.977 | ×0.990 | 3.63% |
| Triples /BIP | 4.58% | ÷1.056 | ×0.910 | ×0.977 | ×0.990 | 3.81% |
| Home runs /BIP | 1.96% | ÷0.770 | ×0.800 | — | ×0.990 | 2.02% |
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 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 ×0.977.
Result: wOBA .294 → .234; ISO .153 → .127; BABIP .281 → .237. 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 ROKGCL Tigers West · 23 PAwOBA .580 → .441 (−139)K% 8.7% → 12.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 8.70% | ÷1.000 | ×1.440 | — | — | 12.52% |
| BB% (unintentional) /PA | 8.70% | ÷1.000 | ×0.620 | — | ×0.965 | 5.20% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.965 | 0.00% |
| Singles /BIP | 27.78% | ÷1.000 | ×0.820 | — | ×0.965 | 21.98% |
| Doubles /BIP | 22.22% | ÷1.000 | ×0.720 | — | ×0.965 | 15.44% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.965 | 0.00% |
| Home runs /BIP | 5.56% | ÷1.000 | ×0.780 | — | ×0.965 | 4.18% |
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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).
Result: wOBA .580 → .441; ISO .350 → .265; BABIP .529 → .391. 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 · 150 PAwOBA .241 → .204 (−37)K% 20.0% → 27.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷0.977 | ×1.360 | — | — | 27.84% |
| BB% (unintentional) /PA | 8.67% | ÷1.006 | ×0.690 | — | — | 5.95% |
| HBP% /PA | 1.33% | — | ×0.780 | — | — | 1.04% |
| Singles /BIP | 17.82% | ÷0.996 | ×0.920 | ×1.050 | — | 17.29% |
| Doubles /BIP | 4.95% | ÷0.969 | ×0.830 | ×1.050 | — | 4.45% |
| Triples /BIP | 1.98% | ÷1.128 | ×0.910 | ×1.050 | — | 1.68% |
| Home runs /BIP | 0.00% | ÷0.954 | ×0.800 | — | — | 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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .241 → .204; ISO .069 → .058; BABIP .243 → .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).
2014 ROKGCL Tigers · 70 PAwOBA .277 → .203 (−74)K% 20.0% → 28.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷1.000 | ×1.440 | — | — | 28.80% |
| BB% (unintentional) /PA | 5.71% | ÷1.000 | ×0.620 | — | ×0.985 | 3.49% |
| HBP% /PA | 1.43% | — | ×0.720 | — | ×0.985 | 1.01% |
| Singles /BIP | 20.41% | ÷1.000 | ×0.820 | ×1.020 | ×0.985 | 16.81% |
| Doubles /BIP | 2.04% | ÷1.000 | ×0.720 | ×1.020 | ×0.985 | 1.48% |
| Triples /BIP | 2.04% | ÷1.000 | ×0.720 | ×1.020 | ×0.985 | 1.48% |
| Home runs /BIP | 4.08% | ÷1.000 | ×0.780 | — | ×0.985 | 3.14% |
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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.
Result: wOBA .277 → .203; ISO .143 → .103; BABIP .250 → .200. 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).