Tanner Vavra
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2013 | 24 | ROKElizabethton … | 163 | .246/.361/.284 | 0 | 1 | 34 | — | .190/.272/.218 |
| 2014 | 25 | AMIN | 327 | .258/.345/.326 | 1 | 7 | 48 | — | .219/.288/.274 |
| 2015 | 26 | A+/INTL2 orgs | 475 | .279/.372/.348 | 2 | 16 | 87 | — | .220/.294/.260 |
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 | 24 | ROK | Elizabethton Twins | — | 163 | 134 | 33 | 3 | 1 | 0 | 21 | 36 | 3 | 1 | 2 | 246 | 361 | 284 | 644 | 37 | 333 | 22 | 13 | 298 | 34 | — | — | — | — | — | — |
| 2014 | 25 | A | Cedar Rapids Kernels | — | 327 | 279 | 72 | 14 | 1 | 1 | 26 | 69 | 11 | 7 | 3 | 258 | 345 | 326 | 671 | 68 | 340 | 21 | 8 | 301 | 48 | — | — | — | — | — | — |
| 2015 | 26 | A+ | Fort Myers Miracle | — | 275 | 240 | 62 | 8 | 1 | 0 | 19 | 49 | 13 | 5 | 3 | 258 | 346 | 300 | 646 | 42 | 325 | 18 | 7 | 301 | 53 | — | — | — | — | — | — |
| 2015 | 26 | INTL | Melbourne Aces | — | 200 | 165 | 51 | 10 | 1 | 2 | 18 | 25 | 10 | 11 | 2 | 309 | 409 | 418 | 828 | 109 | 355 | 12 | 9 | 365 | 133 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 24 | ROK MLE | Elizabethton Twins | — | 163 | 142 | 27 | 2 | 1 | 0 | 13 | 51 | 3 | 1 | 2 | 190 | 272 | 218 | 490 | 28 | 274 | 31 | 8 | 218 | 34 | — | — | — | — | — | — |
| 2014 | 25 | A MLE | Cedar Rapids Kernels | — | 327 | 288 | 63 | 11 | 1 | 1 | 17 | 96 | 11 | 7 | 3 | 219 | 288 | 274 | 562 | 56 | 302 | 29 | 5 | 239 | 48 | — | — | — | — | — | — |
| 2015 | 26 | A+ MLE | Fort Myers Miracle | — | 275 | 246 | 54 | 8 | 1 | 0 | 13 | 71 | 13 | 5 | 3 | 220 | 294 | 260 | 554 | 41 | 297 | 26 | 5 | 246 | 53 | — | — | — | — | — | — |
| 2013 | 24 | ROK MLE | Elizabethton Twins | — | 163 | 142 | 27 | 2 | 1 | 0 | 13 | 51 | 3 | 1 | 2 | 190 | 272 | 218 | 490 | 28 | 293 | 31 | 8 | 218 | 34 | — | — | — | — | — | — |
| 2013 | 24 | ROK RAW | Elizabethton Twins | — | 163 | 134 | 33 | 3 | 1 | 0 | 21 | 36 | 3 | 1 | 2 | 246 | 361 | 284 | 644 | 37 | 333 | 22 | 13 | 298 | 34 | — | — | — | — | — | — |
| 2014 | 25 | A MLE | Cedar Rapids Kernels | — | 327 | 288 | 63 | 11 | 1 | 1 | 17 | 96 | 11 | 7 | 3 | 219 | 288 | 274 | 562 | 56 | 325 | 29 | 5 | 239 | 48 | — | — | — | — | — | — |
| 2014 | 25 | A RAW | Cedar Rapids Kernels | — | 327 | 279 | 72 | 14 | 1 | 1 | 26 | 69 | 11 | 7 | 3 | 258 | 345 | 326 | 671 | 68 | 340 | 21 | 8 | 301 | 48 | — | — | — | — | — | — |
| 2015 | 26 | A+ MLE | 2 teams | — | 475 | 420 | 91 | 13 | 1 | 0 | 22 | 122 | 23 | 16 | 5 | 217 | 292 | 252 | 545 | 36 | 305 | 26 | 5 | 246 | 53 | — | — | — | — | — | — |
| 2015 | 26 | A+ RAW | 2 teams | — | 475 | 405 | 113 | 18 | 2 | 2 | 37 | 74 | 23 | 16 | 5 | 279 | 372 | 348 | 720 | 69 | 337 | 16 | 8 | 328 | 53 | — | — | — | — | — | — |
| 2013 | 24 | ROK MLE | Elizabethton Twins | — | 163 | 146 | 27 | 2 | 1 | 0 | 13 | 51 | 3 | 1 | 2 | 185 | 272 | 212 | 484 | 27 | 274 | 31 | 8 | 218 | 34 | — | — | — | — | — | — |
| 2014 | 25 | A MLE | Cedar Rapids Kernels | — | 327 | 296 | 63 | 11 | 1 | 1 | 17 | 96 | 11 | 7 | 3 | 213 | 288 | 267 | 555 | 54 | 302 | 29 | 5 | 239 | 48 | — | — | — | — | — | — |
| 2015 | 26 | A+ MLE | 2 teams | — | 475 | 427 | 91 | 13 | 1 | 0 | 22 | 122 | 23 | 16 | 5 | 213 | 292 | 248 | 541 | 35 | 297 | 26 | 5 | 246 | 53 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 965 | 850 | 181 | 26 | 3 | 1 | 52 | 269 | 37 | 24 | 10 | 213 | 288 | 254 | 542 | 41 | 310 | 28 | 5 | 239 | 48 | -60 | +1 | +0 | +3 | +21 | -3.5 | |
| / 162G | — | MLE | — | 650 | 573 | 123 | 18 | 2 | 1 | 35 | 181 | 25 | 16 | 7 | 215 | 290 | 258 | 548 | 44 | 311 | 28 | 5 | 239 | 48 | -40 | +0 | +0 | +2 | +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.
2015 A+Fort Myers Miracle · 275 PAwOBA .293 → .246 (−47)K% 17.8% → 25.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.82% | ÷0.984 | ×1.420 | — | — | 25.71% |
| BB% (unintentional) /PA | 6.91% | ÷1.072 | ×0.750 | — | ×0.968 | 4.68% |
| HBP% /PA | 4.73% | — | ×0.930 | — | ×0.968 | 4.26% |
| Singles /BIP | 27.75% | ÷1.040 | ×0.920 | ×1.050 | ×0.968 | 24.95% |
| Doubles /BIP | 4.19% | ÷0.962 | ×0.960 | ×1.050 | ×0.968 | 4.25% |
| Triples /BIP | 0.52% | ÷0.900 | ×0.810 | ×1.050 | ×0.968 | 0.48% |
| Home runs /BIP | 0.00% | ÷1.106 | ×0.880 | — | ×0.968 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 121, 1B 108, 2B 92, 3B 80, K 97, BB 114 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .293 → .246; ISO .042 → .039; BABIP .325 → .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).
2014 ACedar Rapids Kernels · 327 PAwOBA .294 → .239 (−55)K% 21.1% → 29.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.10% | ÷0.977 | ×1.360 | — | — | 29.37% |
| BB% (unintentional) /PA | 7.95% | ÷1.033 | ×0.690 | — | ×0.970 | 5.15% |
| HBP% /PA | 3.36% | — | ×0.780 | — | ×0.970 | 2.55% |
| Singles /BIP | 26.67% | ÷1.029 | ×0.920 | ×1.050 | ×0.970 | 24.29% |
| Doubles /BIP | 6.67% | ÷1.057 | ×0.830 | ×1.050 | ×0.970 | 5.33% |
| Triples /BIP | 0.48% | ÷1.034 | ×0.910 | ×1.050 | ×0.970 | 0.43% |
| Home runs /BIP | 0.48% | ÷1.098 | ×0.800 | — | ×0.970 | 0.34% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 106, 2B 111, 3B 107, K 95, BB 107 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .294 → .239; ISO .068 → .053; BABIP .340 → .302. 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 ROKElizabethton Twins · 163 PAwOBA .293 → .218 (−75)K% 22.1% → 31.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.09% | ÷1.000 | ×1.420 | — | — | 31.36% |
| BB% (unintentional) /PA | 12.88% | ÷1.000 | ×0.640 | — | ×0.955 | 7.87% |
| HBP% /PA | 1.84% | — | ×0.740 | — | ×0.955 | 1.30% |
| Singles /BIP | 29.59% | ÷1.000 | ×0.840 | ×1.041 | ×0.955 | 24.70% |
| Doubles /BIP | 3.06% | ÷1.000 | ×0.740 | ×1.041 | ×0.955 | 2.25% |
| Triples /BIP | 1.02% | ÷1.000 | ×0.740 | ×1.041 | ×0.955 | 0.75% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.800 | — | ×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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.
Result: wOBA .293 → .218; ISO .037 → .027; BABIP .333 → .274. 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 — .